69 results on '"Markiefka B"'
Search Results
2. Microsatellite instability and sex differences in resectable gastric cancer - A pooled analysis of three European cohorts
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Quaas, A., Biesma, H.D., Wagner, A.D., Verheij, M., Berge Henegouwen, M.I. van, Schoemig-Markiefka, B., Pamuk, A., Zander, T., Siemanowski, J., Sikorska, K., Egthuijsen, J.M.P., Meershoek-Klein Kranenbarg, E.M., Velde, C.J. van de, Buettner, R., Alakus, H., Cats, A., Ylstra, B., Laarhoven, H.W. van, Grieken, N.C.T. van, Quaas, A., Biesma, H.D., Wagner, A.D., Verheij, M., Berge Henegouwen, M.I. van, Schoemig-Markiefka, B., Pamuk, A., Zander, T., Siemanowski, J., Sikorska, K., Egthuijsen, J.M.P., Meershoek-Klein Kranenbarg, E.M., Velde, C.J. van de, Buettner, R., Alakus, H., Cats, A., Ylstra, B., Laarhoven, H.W. van, and Grieken, N.C.T. van
- Abstract
Contains fulltext : 283432.pdf (Publisher’s version ) (Open Access), OBJECTIVE: Biological sex differences in cancer are increasingly acknowledged. Here, we examined these differences in clinicopathological characteristics and survival in microsatellite instability (MSI)-high and microsatellite stable (MSS) gastric cancer (GC). DESIGN: We analysed MSI status by polymerase chain reaction (PCR) and/or mismatch repair (MMR) status by immunohistochemistry in a pooled analysis of individual patient data from one retrospective cohort from Cologne, and the randomised phase III clinical trials D1/D2 and CRITICS. All patients had resectable adenocarcinoma of the stomach and/or gastro-oesophageal junction. Patients were treated with either surgery only or perioperative chemo(radio)therapy. RESULTS: MSI and/or MMR analyses on 1307 tumours resulted in 1192 (91.2%) MSS and/or MMR proficient (MMRP) [median age, 65 years; 759 males (63.7%); 619 treated with surgery only (51.9%)], and 115 (8.8%) MSI-high [median age, 69 years; 67 males (58.3%); 76 treated with surgery only (66.1%)] GC cases. Males had shorter overall survival (OS) than female MSI-high GC (5-year OS 34.7% vs. 69.7%; hazard ratio (HR) 2.68, 95%CI 1.60 to 4.49; p < 0.001). Females with MSI-high had longer OS than those with MSS/MMRP GC (HR 0.61, 95%CI 0.41 to 0.92; p = 0.02). Males with MSI-high did not have longer OS than those with MSS/MMRP GC (HR 1.26, 95%CI 0.94 to 1.69; p = 0.12). CONCLUSIONS: MSI-high GC males had a significantly worse prognosis compared to their female counterparts in three independent cohorts. In addition, the favourable prognostic value of MSI was only seen in females and not in males. These observations emphasise the need to consider sex differences in prognosis and treatment effects in oncology. CLINICAL TRIAL REGISTRATION: The CRITICS trial is registered at ClinicalTrials.gov, number NCT00407186; EudraCT, number 2006-004130-32; and CKTO, 2006-02.
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- 2022
3. MLH1 promoter hypermethylation in mismatch repair deficient endometrial cancer.Defining a new subgroup?
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Pauly, N., Harter, P., Heitz, F., Schoemig-Markiefka, B., Moubarak, M., Traut, A., Kaiser, S., Ataseven, B., Pauly, N., Harter, P., Heitz, F., Schoemig-Markiefka, B., Moubarak, M., Traut, A., Kaiser, S., and Ataseven, B.
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- 2022
4. Difficulties in Analyzing Microsatellite Instability in Endometrial Cancer - the Pros and Cons of Four Different PCR-Based Testing Approaches
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Siemanowski, J., Buhl, T., Schomig-Markiefka, B., Siebolts, U., Haak, A., Dietmaier, W., Arens, N., Buttner, R., Merkelbach-Bruse, S., Siemanowski, J., Buhl, T., Schomig-Markiefka, B., Siebolts, U., Haak, A., Dietmaier, W., Arens, N., Buttner, R., and Merkelbach-Bruse, S.
- Published
- 2020
5. The brave new world of endometrial cancer Future implications for adjuvant treatment decisions
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Marnitz, S., Waltar, T., Koehler, C., Mustea, A., Schoemig-Markiefka, B., Marnitz, S., Waltar, T., Koehler, C., Mustea, A., and Schoemig-Markiefka, B.
- Abstract
Purpose For many decades, endometrial cancer (EC) has been considered as a homogenous tumor entity with good prognosis. The currently valid risk stratification considers clinical and pathological factors. Treatment recommendations differ considerably from country to country. Materials and methods The Cancer Genome Atlas (TCGA) Research Network has shown that ECs should be reclassified into four novel molecular prognostic groups, with the potential of changing adjuvant management of EC patients: ultra-mutated, hyper-mutated, copy-number low, and copy-number high. Clinical examples are shown, and the available literature has been highlighted. The European Society of Gynaecological Oncology (ESGO) guideline for endometrial cancer takes the new classification system into consideration for adjuvant treatment decisions and will be published this year. Results In the near future, we expect new treatment recommendations that may differ considerably from the clinicopathologically driven recommendations on the basis of our deeper insight and better understanding of molecular markers in endometrial cancer. The PORTEC 4a study is the only recruiting study which randomizes patients to adjuvant or no adjuvant treatment on the basis of the aforementioned new classification system. Conclusion The aim of the new classification is a more personalized adjuvant radio(chemo)therapy decision and better oncologic outcomes or avoidance of overtreatment.
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- 2020
6. ALK Mutations in Primary and Relapsed Neuroblastoma in a GPOH Cohort
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Rosswog, C., Fassunke, J., Schoemig-Markiefka, B., Merkelbach-Bruse, S., Ackermann, S., Ortmann, M., Schulte, J., Westermann, F., Berthold, F., Simon, T., Hero, B., Fischer, M., Rosswog, C., Fassunke, J., Schoemig-Markiefka, B., Merkelbach-Bruse, S., Ackermann, S., Ortmann, M., Schulte, J., Westermann, F., Berthold, F., Simon, T., Hero, B., and Fischer, M.
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- 2020
7. Infiltration Depth as a Criterion for the Indication of Lymphadenectomy in Patients with Vulvar Cancer
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Pahmeyer, C., Thangarajah, F., Ratiu, D., Schultheis, A. M., Schoemig-Markiefka, B., Mallmann, P., Morgenstern, B., Pahmeyer, C., Thangarajah, F., Ratiu, D., Schultheis, A. M., Schoemig-Markiefka, B., Mallmann, P., and Morgenstern, B.
- Published
- 2020
8. PB2026 TRANSDIAPHRAGMATIC MUCORMYCOSIS
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Köhler, P., primary, Reimer, R., additional, Schömig-Markiefka, B., additional, and Cornely, O., additional
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- 2019
- Full Text
- View/download PDF
9. Guidance Statement On BRCA1/2 Tumor Testing in Ovarian Cancer Patients
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Capoluongo, E., Ellison, G., Lopez-Guerrero, J.A., Penault-Llorca, F., Ligtenberg, M.J.L., Banerjee, S., Singer, C., Friedman, E., Markiefka, B., Schirmacher, P., Buttner, R., Asperen, C.J. van, Ray-Coquard, I., Endris, V., Kamel-Reid, S., Percival, N., Bryce, J., Rothlisberger, B., Soong, R., Castro, D.G. de, Capoluongo, E., Ellison, G., Lopez-Guerrero, J.A., Penault-Llorca, F., Ligtenberg, M.J.L., Banerjee, S., Singer, C., Friedman, E., Markiefka, B., Schirmacher, P., Buttner, R., Asperen, C.J. van, Ray-Coquard, I., Endris, V., Kamel-Reid, S., Percival, N., Bryce, J., Rothlisberger, B., Soong, R., and Castro, D.G. de
- Abstract
Item does not contain fulltext, The approval, in 2015, of the first poly (adenosine diphosphate-ribose) polymerase inhibitor (PARPi; olaparib, Lynparza) for platinum-sensitive relapsed high-grade ovarian cancer with either germline or somatic BRCA1/2 deleterious mutations is changing the way that BRCA1/2 testing services are offered to patients with ovarian cancer. Ovarian cancer patients are now being referred for BRCA1/2 genetic testing for treatment decisions, in addition to familial risk estimation, and irrespective of a family history of breast or ovarian cancer. Furthermore, testing of tumor samples to identify the estimated 3%-9% of patients with somatic BRCA1/2 mutations who, in addition to germline carriers, could benefit from PARPi therapy is also now being considered. This new testing paradigm poses some challenges, in particular the technical and analytical difficulties of analyzing chemically challenged DNA derived from formalin-fixed, paraffin-embedded specimens. The current manuscript reviews some of these challenges and technical recommendations to consider when undertaking BRCA1/2 testing in tumor tissue samples to detect both germline and somatic BRCA1/2 mutations. Also provided are considerations for incorporating genetic analysis of ovarian tumor samples into the patient pathway and ethical requirements.
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- 2017
10. BRCA diagnostics of ovarian cancer. Molecular tumor testing since the introduction of PARP inhibitor therapy
- Author
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Loeser, H., Heydt, C., Buettner, R., Markiefka, B., Loeser, H., Heydt, C., Buettner, R., and Markiefka, B.
- Abstract
Approximately 9000 women are diagnosed with ovarian cancer in Germany each year. The most common subtype is high-grade serous ovarian cancer. A relevant proportion of these tumors are associated with mutations in the breast and ovarian cancer susceptibility genes (BRCA1 and BRCA2) representing highly penetrant tumor suppressor genes with autosomal inheritance and play a crucial role in DNA repair mechanisms. These patients have predominantly germline mutations and less frequently have somatic BRCA mutations. Tumors harboring BRCA mutations show a significant improvement in progression-free survival under therapy with poly(adenosine diphosphate ribose) polymerase (PARP) inhibitors. In 2015 the first PARP inhibitor was approved for the therapy of high-grade serous ovarian cancer with BRCA mutations. Mutation analysis can be performed on formalin-fixed paraffin-embedded (FFPE) tumor tissue within a few days.
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- 2017
11. Guidance Statement On BRCA1/2 Tumor Testing in Ovarian Cancer Patients
- Author
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Capoluongo, Ettore Domenico, Ellison, G, Lopez-Guerrero, Ja, Penault-Llorca, F, Ligtenberg, Mjl, Banerjee, S, Singer, C, Friedman, E, Markiefka, B, Schirmacher, P, Buttner, R, van Asperen, Cj, Ray-Coquard, I, Endris, V, Kamel-Reid, S, Percival, N, Bryce, J, Rothlisberger, B, Soong, R, de Castro, Dg, Capoluongo, E (ORCID:0000-0001-9872-0572), Capoluongo, Ettore Domenico, Ellison, G, Lopez-Guerrero, Ja, Penault-Llorca, F, Ligtenberg, Mjl, Banerjee, S, Singer, C, Friedman, E, Markiefka, B, Schirmacher, P, Buttner, R, van Asperen, Cj, Ray-Coquard, I, Endris, V, Kamel-Reid, S, Percival, N, Bryce, J, Rothlisberger, B, Soong, R, de Castro, Dg, and Capoluongo, E (ORCID:0000-0001-9872-0572)
- Abstract
The approval, in 2015, of the first poly (adenosine diphosphate-ribose) polymerase inhibitor (PARPi; olaparib, Lynparza) for platinum sensitive relapsed high grade ovarian cancer with either germline or somatic BRCA1/2 deleterious mutations is changing the way that BRCA1/2 testing services are offered to patients with ovarian cancer. Ovarian cancer patients are now being referred for BRCA1/2 genetic testing for treatment decisions, in addition to familial risk estimation, and irrespective of a family history of breast or ovarian cancer. Furthermore, testing of tumor samples to identify the estimated 3%-9% of patients with somatic BRCA1/2 mutations who, in addition to germline carriers, could benefit from PARPi therapy is also now being considered. This new testing paradigm poses some challenges, in particular the technical and analytical difficulties of analyzing chemically challenged DNA derived from formalin fixed, paraffin embedded specimens. The current manuscript reviews some of these challenges and technical recommendations to consider when undertaking BRCA1/2 testing in tumor tissue samples to detect both germline and somatic BRCA1/2 mutations. Also provided are considerations for incorporating genetic analysis of ovarian tumor samples into the patient pathway and ethical requirements.
- Published
- 2017
12. Entwicklung eines integrierten Versorgungsmoduls „BRCA-Diagnostik“ zur Feststellung einer Therapierelevanz mit dem PARP-Inhibitor Olaparib beim rezidivierten platin-sensitiven HSOC
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Rhiem, K, primary, Markiefka, B, additional, Giesecke, J, additional, Hahnen, E, additional, Büttner, R, additional, and Schmutzler, R, additional
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- 2016
- Full Text
- View/download PDF
13. PD-1 und PD-L1 Expression in Plattenepithelkarzinomen der Vulva
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Thangarajah, F, primary, Mallmann, P, additional, Frommke, L, additional, Morgenstern, B, additional, Fridrich, C, additional, Puppe, J, additional, Krempel, K, additional, Markiefka, B, additional, Büttner, R, additional, Scheel, AH, additional, and Schultheis, AM, additional
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- 2016
- Full Text
- View/download PDF
14. Der Proliferationsmarker Ki-67 und seine prognostische Bedeutung: Retrospektive Analyse von Mammakarzinom-Patientinnen an der Unifrauenklinik Köln
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Kirn, V, primary, Enninga, I, additional, Thangarajah, F, additional, Clement, L, additional, Richters, L, additional, Malter, W, additional, Markiefka, B, additional, Krämer, S, additional, and Mallmann, P, additional
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- 2015
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15. Prädiktoren für den Befall des Sentinel-Lymphknotens bei der operativen Therapie des Mammakarzinoms in der adjuvanten Situation: Radioaktivität und Ki67
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Kirn, V, primary, Malter, W, additional, Hamacher, S, additional, Schmidt, M, additional, Markiefka, B, additional, Krämer, S, additional, and Mallmann, P, additional
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- 2015
- Full Text
- View/download PDF
16. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers
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Kuchenbaecker, K.B. (Karoline), Neuhausen, S.L. (Susan), Robson, M. (Mark), Barrowdale, D. (Daniel), McGuffog, L. (Lesley), Mulligan, A.M. (Anna Marie), Andrulis, I.L. (Irene), Spurdle, A.B. (Amanda), Schmidt, M.K. (Marjanka), Schmutzler, R.K. (Rita), Engel, C. (Christoph), Wapenschmidt, B. (Barbara), Nevanlinna, H. (Heli), Thomassen, M. (Mads), Southey, M.C. (Melissa), Radice, P. (Paolo), Ramus, S.J. (Susan), Domchek, S.M. (Susan), Nathanson, K.L. (Katherine), Lee, A. (Andrew), Healey, S. (Sue), Nussbaum, R. (Robert), Rebbeck, R. (Timothy), Arun, B.K. (Banu), James, M. (Margaret), Karlan, B.Y. (Beth), Lester, K.J. (Kathryn), Cass, I. (Ilana), Terry, M.B. (Mary Beth), Daly, M.J. (Mark), Goldgar, D. (David), Buys, S.S. (Saundra), Janavicius, R. (Ramunas), Tihomirova, L. (Laima), Tung, N. (Nadine), Dorfling, C.M. (Cecilia), Rensburg, E.J. (Elizabeth) van, Steele, L. (Linda), Overeem Hansen, T. (Thomas) van, Ejlertsen, B. (Bent), Gerdes, A-M. (Anne-Marie), Nielsen, F. (Finn), Dennis, J. (Joe), Cunningham, J.M. (Julie), Hart, S. (Stewart), Slager, S. (Susan), Osorio, A. (Ana), Benítez, J. (Javier), Duran, M. (Mercedes), Weitzel, J.N. (Jeffrey), Tafur, I. (Isaac), Hander, M. (Mary), Peterlongo, P. (Paolo), Manoukian, S. (Siranoush), Peissel, B. (Bernard), Roversi, G. (Gaia), Scuvera, G. (Giulietta), Bonnani, B. (Bernardo), Mariani, P. (Paolo), Volorio, S. (Sara), Dolcetti, R. (Riccardo), Varesco, L. (Liliana), Papi, L. (Laura), Tibiletti, M.G. (Maria Grazia), Giannini, G. (Giuseppe), Fostira, F. (Florentia), Konstantopoulou, I. (I.), Garber, J. (Judy), Hamann, U. (Ute), Donaldson, A. (Alan), Brewer, C. (Carole), Foo, C. (Claire), Evans, D.G. (Gareth), Frost, D. (Debra), Eccles, D. (Diana), Douglas, F. (Fiona), Brady, A. (A.), Cook, J. (Jackie), Tischkowitz, M. (Marc), Adlard, L., Barwell, J. (Julian), Ong, K., Walker, L.J. (Lisa), Izatt, L. (Louise), Side, L. (Lucy), Kennedy, M.J. (John), Rogers, M.T. (Mark), Porteous, M.E. (Mary), Morrison, P.J. (Patrick), Platte, R. (Radka), Eeles, R. (Ros), Davidson, R. (Rosemarie), Hodgson, S. (Shirley), Ellis, S.D. (Steve), Godwin, A.K. (Andrew), Rhiem, K. (Kerstin), Meindl, A. (Alfons), Ditsch, N. (Nina), Arnold, N. (Norbert), Plendl, H. (Hansjoerg), Niederacher, D. (Dieter), Sutter, C. (Christian), Steinemann, D. (Doris), Bogdanova-Markov, N. (Nadja), Kast, K. (Karin), Varon-Mateeva, R. (Raymonda), Wang-Gohrke, S. (Shan), Gehrig, P.A. (Paola A.), Markiefka, B. (Birgid), Buecher, B. (Bruno), Lefol, C. (Cédrick), Stoppa-Lyonnet, D. (Dominique), Rouleau, E. (Etienne), Prieur, F. (Fabienne), Damiola, F. (Francesca), Barjhoux, L. (Laure), Faivre, L. (Laurence), Longy, M. (Michel), Sevenet, N. (Nicolas), Sinilnikova, O. (Olga), Mazoyer, S. (Sylvie), Bonadona, V. (Valérie), Caux-Moncoutier, V. (Virginie), Isaacs, C. (Claudine), Van Maerken, T. (Tom), Claes, K.B.M. (Kathleen B.M.), Piedmonte, M. (Marion), Andrews, L. (Lesley), Hays, J. (John), Rodriguez, G.C. (Gustavo), Caldes, T. (Trinidad), Hoya, M. (Miguel) de La, Khan, S. (Sofia), Hogervorst, F.B.L. (Frans), Aalfs, C.M. (Cora), Lange, J.L. (J.) de, Meijers-Heijboer, E.J. (Hanne), Hout, A.H. (Annemarie) van der, Wijnen, J.T. (Juul), Roozendaal, K.E. (Kees) van, Mensenkamp, A.R. (Arjen), Ouweland, A.M.W. (Ans) van den, Deurzen, C.H.M. (Carolien) van, Luijt, R.B. (Rob) van der, Olah, E., Díez, O. (Orland), Lázaro, C. (Conxi), Blanco, I. (Ignacio), Teulé, A. (A.), Menéndez, M. (Mireia), Jakubowska, A. (Anna), Lubinski, J. (Jan), Cybulski, C. (Cezary), Gronwald, J. (Jacek), Jaworska-Bieniek, K. (Katarzyna), Durda, K. (Katarzyna), Arason, A. (Adalgeir), Maugard, C., Soucy, P. (Penny), Montagna, M. (Marco), Agata, S. (Simona), Teixeira, P.J., Olswold, C. (Curtis), Lindor, N.M. (Noralane), Pankratz, V.S. (Shane), Hallberg, B. (Boubou), Wang, X. (Xianshu), Szabo, C. (Csilla), Vijai, J. (Joseph), Jacobs, L. (Lauren), Corines, M. (Marina), Lincoln, A. (Anne), Berger, A. (Andreas), Fink-Retter, A. (Anneliese), Singer, C.F. (Christian), Rappaport, C. (Christine), Kaulich, D.G. (Daphne Gschwantler), Pfeiler, G. (Georg), Tea, M.-K., Phelan, C. (Catherine), Mai, P.L. (Phuong), Greene, M.H. (Mark), Rennert, G. (Gad), Imyanitov, E.N. (Evgeny), Glendon, G. (Gord), Toland, A.E. (Amanda), Bojesen, A. (Anders), Pedersen, I.S. (Inge Sokilde), Jensen, U.B., Caligo, M.A. (Maria), Friedman, E. (Eitan), Berger, R. (Raanan), Laitman, Y. (Yael), Rantala, J. (Johanna), Arver, B. (Brita Wasteson), Loman, N. (Niklas), Borg, Å. (Åke), Ehrencrona, H. (Hans), Olopade, O.I. (Olofunmilayo), Simard, J. (Jacques), Easton, D.F. (Douglas), Chenevix-Trench, G. (Georgia), Offit, K. (Kenneth), Couch, F.J. (Fergus), Antoniou, A.C. (Antonis), Kuchenbaecker, K.B. (Karoline), Neuhausen, S.L. (Susan), Robson, M. (Mark), Barrowdale, D. (Daniel), McGuffog, L. (Lesley), Mulligan, A.M. (Anna Marie), Andrulis, I.L. (Irene), Spurdle, A.B. (Amanda), Schmidt, M.K. (Marjanka), Schmutzler, R.K. (Rita), Engel, C. (Christoph), Wapenschmidt, B. (Barbara), Nevanlinna, H. (Heli), Thomassen, M. (Mads), Southey, M.C. (Melissa), Radice, P. (Paolo), Ramus, S.J. (Susan), Domchek, S.M. (Susan), Nathanson, K.L. (Katherine), Lee, A. (Andrew), Healey, S. (Sue), Nussbaum, R. (Robert), Rebbeck, R. (Timothy), Arun, B.K. (Banu), James, M. (Margaret), Karlan, B.Y. (Beth), Lester, K.J. (Kathryn), Cass, I. (Ilana), Terry, M.B. (Mary Beth), Daly, M.J. (Mark), Goldgar, D. (David), Buys, S.S. (Saundra), Janavicius, R. (Ramunas), Tihomirova, L. (Laima), Tung, N. (Nadine), Dorfling, C.M. (Cecilia), Rensburg, E.J. (Elizabeth) van, Steele, L. (Linda), Overeem Hansen, T. (Thomas) van, Ejlertsen, B. (Bent), Gerdes, A-M. (Anne-Marie), Nielsen, F. (Finn), Dennis, J. (Joe), Cunningham, J.M. (Julie), Hart, S. (Stewart), Slager, S. (Susan), Osorio, A. (Ana), Benítez, J. (Javier), Duran, M. (Mercedes), Weitzel, J.N. (Jeffrey), Tafur, I. (Isaac), Hander, M. (Mary), Peterlongo, P. (Paolo), Manoukian, S. (Siranoush), Peissel, B. (Bernard), Roversi, G. (Gaia), Scuvera, G. (Giulietta), Bonnani, B. (Bernardo), Mariani, P. (Paolo), Volorio, S. (Sara), Dolcetti, R. (Riccardo), Varesco, L. (Liliana), Papi, L. (Laura), Tibiletti, M.G. (Maria Grazia), Giannini, G. (Giuseppe), Fostira, F. (Florentia), Konstantopoulou, I. (I.), Garber, J. (Judy), Hamann, U. (Ute), Donaldson, A. (Alan), Brewer, C. (Carole), Foo, C. (Claire), Evans, D.G. (Gareth), Frost, D. (Debra), Eccles, D. (Diana), Douglas, F. (Fiona), Brady, A. (A.), Cook, J. (Jackie), Tischkowitz, M. (Marc), Adlard, L., Barwell, J. (Julian), Ong, K., Walker, L.J. (Lisa), Izatt, L. (Louise), Side, L. (Lucy), Kennedy, M.J. (John), Rogers, M.T. (Mark), Porteous, M.E. (Mary), Morrison, P.J. (Patrick), Platte, R. (Radka), Eeles, R. (Ros), Davidson, R. (Rosemarie), Hodgson, S. (Shirley), Ellis, S.D. (Steve), Godwin, A.K. (Andrew), Rhiem, K. (Kerstin), Meindl, A. (Alfons), Ditsch, N. (Nina), Arnold, N. (Norbert), Plendl, H. (Hansjoerg), Niederacher, D. (Dieter), Sutter, C. (Christian), Steinemann, D. (Doris), Bogdanova-Markov, N. (Nadja), Kast, K. (Karin), Varon-Mateeva, R. (Raymonda), Wang-Gohrke, S. (Shan), Gehrig, P.A. (Paola A.), Markiefka, B. (Birgid), Buecher, B. (Bruno), Lefol, C. (Cédrick), Stoppa-Lyonnet, D. (Dominique), Rouleau, E. (Etienne), Prieur, F. (Fabienne), Damiola, F. (Francesca), Barjhoux, L. (Laure), Faivre, L. (Laurence), Longy, M. (Michel), Sevenet, N. (Nicolas), Sinilnikova, O. (Olga), Mazoyer, S. (Sylvie), Bonadona, V. (Valérie), Caux-Moncoutier, V. (Virginie), Isaacs, C. (Claudine), Van Maerken, T. (Tom), Claes, K.B.M. (Kathleen B.M.), Piedmonte, M. (Marion), Andrews, L. (Lesley), Hays, J. (John), Rodriguez, G.C. (Gustavo), Caldes, T. (Trinidad), Hoya, M. (Miguel) de La, Khan, S. (Sofia), Hogervorst, F.B.L. (Frans), Aalfs, C.M. (Cora), Lange, J.L. (J.) de, Meijers-Heijboer, E.J. (Hanne), Hout, A.H. (Annemarie) van der, Wijnen, J.T. (Juul), Roozendaal, K.E. (Kees) van, Mensenkamp, A.R. (Arjen), Ouweland, A.M.W. (Ans) van den, Deurzen, C.H.M. (Carolien) van, Luijt, R.B. (Rob) van der, Olah, E., Díez, O. (Orland), Lázaro, C. (Conxi), Blanco, I. (Ignacio), Teulé, A. (A.), Menéndez, M. (Mireia), Jakubowska, A. (Anna), Lubinski, J. (Jan), Cybulski, C. (Cezary), Gronwald, J. (Jacek), Jaworska-Bieniek, K. (Katarzyna), Durda, K. (Katarzyna), Arason, A. (Adalgeir), Maugard, C., Soucy, P. (Penny), Montagna, M. (Marco), Agata, S. (Simona), Teixeira, P.J., Olswold, C. (Curtis), Lindor, N.M. (Noralane), Pankratz, V.S. (Shane), Hallberg, B. (Boubou), Wang, X. (Xianshu), Szabo, C. (Csilla), Vijai, J. (Joseph), Jacobs, L. (Lauren), Corines, M. (Marina), Lincoln, A. (Anne), Berger, A. (Andreas), Fink-Retter, A. (Anneliese), Singer, C.F. (Christian), Rappaport, C. (Christine), Kaulich, D.G. (Daphne Gschwantler), Pfeiler, G. (Georg), Tea, M.-K., Phelan, C. (Catherine), Mai, P.L. (Phuong), Greene, M.H. (Mark), Rennert, G. (Gad), Imyanitov, E.N. (Evgeny), Glendon, G. (Gord), Toland, A.E. (Amanda), Bojesen, A. (Anders), Pedersen, I.S. (Inge Sokilde), Jensen, U.B., Caligo, M.A. (Maria), Friedman, E. (Eitan), Berger, R. (Raanan), Laitman, Y. (Yael), Rantala, J. (Johanna), Arver, B. (Brita Wasteson), Loman, N. (Niklas), Borg, Å. (Åke), Ehrencrona, H. (Hans), Olopade, O.I. (Olofunmilayo), Simard, J. (Jacques), Easton, D.F. (Douglas), Chenevix-Trench, G. (Georgia), Offit, K. (Kenneth), Couch, F.J. (Fergus), and Antoniou, A.C. (Antonis)
- Abstract
Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive ass
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- 2014
- Full Text
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17. Single center experiences with intraoperative radiotherapy as a boost during oncoplastic breast-conserving surgery
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Malter, W., Kirn, V., Bongartz, R., Semrau, R., Markiefka, B., Mallmann, P., Kraemer, S., Malter, W., Kirn, V., Bongartz, R., Semrau, R., Markiefka, B., Mallmann, P., and Kraemer, S.
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- 2014
18. Intraoperativeassessment of macroscopic instantaneous sections to prevent re-resection in IORT patients
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Malter, W., Kapteina, S., Thangarajah, F., Markiefka, B., Bongartz, R., Semrau, R., Hellmich, M., Kraemer, S., Mallmann, P., Malter, W., Kapteina, S., Thangarajah, F., Markiefka, B., Bongartz, R., Semrau, R., Hellmich, M., Kraemer, S., and Mallmann, P.
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- 2014
19. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers
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Kuchenbaecker, KB, Neuhausen, SL, Robson, M, Barrowdale, D, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, SJ, Domchek, SM, Nathanson, KL, Lee, A, Healey, S, Nussbaum, RL, Rebbeck, TR, Arun, BK, James, P, Karlan, BY, Lester, J, Cass, I, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, CM, van Rensburg, EJ, Steele, L, Hansen, TVO, Ejlertsen, B, Gerdes, A-M, Nielsen, FC, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, JN, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, MG, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, DG, Frost, D, Eccles, D, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K-R, Walker, L, Izatt, L, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, AK, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova-Markov, N, Kast, K, Varon-Mateeva, R, Wang-Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa-Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, OM, Mazoyer, S, Bonadona, V, Caux-Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, GC, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, FBL, Aalfs, CM, de lange, JL, Meijers-Heijboer, HEJ, van der Hout, AH, Wijnen, JT, van Roozendaal, KEP, Mensenkamp, AR, van den Ouweland, AMW, van Deurzen, CHM, van der Luijt, RB, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teule, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska-Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, MR, Olswold, C, Lindor, N, Pankratz, VS, Hallberg, E, Wang, X, Szabo, CI, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Kaulich, DG, Pfeiler, G, Tea, M-K, Phelan, CM, Mai, PL, Greene, MH, Rennert, G, Imyanitov, EN, Glendon, G, Toland, AE, Bojesen, A, Pedersen, IS, Jensen, UB, Caligo, MA, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, OI, Simard, J, Easton, DF, Chenevix-Trench, G, Offit, K, Couch, FJ, Antoniou, AC, Kuchenbaecker, KB, Neuhausen, SL, Robson, M, Barrowdale, D, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, SJ, Domchek, SM, Nathanson, KL, Lee, A, Healey, S, Nussbaum, RL, Rebbeck, TR, Arun, BK, James, P, Karlan, BY, Lester, J, Cass, I, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, CM, van Rensburg, EJ, Steele, L, Hansen, TVO, Ejlertsen, B, Gerdes, A-M, Nielsen, FC, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, JN, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, MG, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, DG, Frost, D, Eccles, D, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K-R, Walker, L, Izatt, L, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, AK, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova-Markov, N, Kast, K, Varon-Mateeva, R, Wang-Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa-Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, OM, Mazoyer, S, Bonadona, V, Caux-Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, GC, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, FBL, Aalfs, CM, de lange, JL, Meijers-Heijboer, HEJ, van der Hout, AH, Wijnen, JT, van Roozendaal, KEP, Mensenkamp, AR, van den Ouweland, AMW, van Deurzen, CHM, van der Luijt, RB, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teule, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska-Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, MR, Olswold, C, Lindor, N, Pankratz, VS, Hallberg, E, Wang, X, Szabo, CI, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Kaulich, DG, Pfeiler, G, Tea, M-K, Phelan, CM, Mai, PL, Greene, MH, Rennert, G, Imyanitov, EN, Glendon, G, Toland, AE, Bojesen, A, Pedersen, IS, Jensen, UB, Caligo, MA, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, OI, Simard, J, Easton, DF, Chenevix-Trench, G, Offit, K, Couch, FJ, and Antoniou, AC
- Abstract
INTRODUCTION: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. METHODS: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. RESULTS: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC) = 0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC = 0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC = 0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P <10(-6) in the analyses by PR status, HER2 status, TN phenotype, morphologic subtypes, histological grade and nodal involvement
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- 2014
20. Metastasierendes pleomorphes Adenom - ungewöhnliche Präsentation eines Speicheldrüsentumors
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Lechner, A, Anagiotos, A, Markiefka, B, Grosheva, M, Beutner, D, Lechner, A, Anagiotos, A, Markiefka, B, Grosheva, M, and Beutner, D
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- 2014
21. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers
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Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, CIMBA, Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, and CIMBA
- Abstract
Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC)=0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC=0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC=0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P <10-6 in the analyses by PR status, HER2 status, TN phenotype, morphologic subtypes, histological grade and nodal involvement. Con
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- 2014
22. Prädiktoren für den Befall des Sentinel-LK bei der operativen Therapie des Mammakarzinoms: Radioaktivität und Ki67
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Kirn, V, primary, Malter, W, additional, Hamacher, S, additional, Schmidt, M, additional, Markiefka, B, additional, Richters, L, additional, Fridrich, C, additional, Mallmann, P, additional, and Krämer, S, additional
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- 2014
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23. Update of single institution experiences with intraoperative radiotherapy (IORT) in targeted oncoplastic breast surgery
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Malter, W, primary, Kirn, V, additional, Semrau, R, additional, Bongartz, R, additional, Markiefka, B, additional, Mallmann, P, additional, and Krämer, S, additional
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- 2014
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24. Ein seltener oropharyngealer Befund - Das primäres Merkelzell-Karzinom der Tonsille
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Hasselbring, L, Schmidt, M, Mauch, C, Markiefka, B, Beutner, D, Hasselbring, L, Schmidt, M, Mauch, C, Markiefka, B, and Beutner, D
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- 2012
25. Metastasierendes pleomorphes Adenom - ungewöhnliche Präsentation eines Speicheldrüsentumors.
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Lechner, Axel, Anagiotos, A., Markiefka, B., Grosheva, M., and Beutner, D.
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OTOLARYNGOLOGY - Published
- 2014
26. Guidance Statement On BRCA1/2 Tumor Testing in Ovarian Cancer Patients
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Capoluongo, Ettore, Ellison, Gillian, López-Guerrero, José Antonio, Penault-Llorca, Frédérique, Ligtenberg, Marjolijn J L, Banerjee, Susana, Singer, Christian, Friedman, Eitan, Markiefka, Birgid, Schirmacher, Peter, Büttner, Reinhard, Van Asperen, Christi J, Ray-Coquard, Isabelle, Endris, Volker, Kamel-Reid, Suzanne, Percival, Natalie, Bryce, Jane, Röthlisberger, Benno, Soong, Richie, de Castro, David Gonzalez, Ligtenberg, Marjolijn J.L., van Asperen, Christi J., Capoluongo, Ettore Domenico, Ellison, G., Lopez-Guerrero, J. A., Penault-Llorca, F., Ligtenberg, M. J. L., Banerjee, S., Singer, C., Friedman, E., Markiefka, B., Schirmacher, P., Buttner, R., van Asperen, C. J., Ray-Coquard, I., Endris, V., Kamel-Reid, S., Percival, N., Bryce, J., Rothlisberger, B., Soong, R., de Castro, D. G., Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Dept of OB/GYN and Comprehensive Cancer Center, Medizinische Universität Wien = Medical University of Vienna, Susanne-Levy Gertner Oncogenetics Unit, The Danek Gertner Institute of Genetics, Chaim Sheba Medical Center, Institute for Pathology Heidelberg, Heidelberg University Hospital [Heidelberg], Department of Clinical Genetics, LeidenUniversity Medical Centre, Département d'Oncologie Médicale, Centre Léon Bérard [Lyon], Heidelberg University, The University of Western Australia (UWA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), Leiden University Medical Center (LUMC), and Universiteit Leiden-Universiteit Leiden
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0301 basic medicine ,Oncology ,endocrine system diseases ,Somatic cell ,Review ,Germline ,Piperazines ,Poly(ADP-ribose) Polymerase Inhibitor ,chemistry.chemical_compound ,Ovarian tumor ,0302 clinical medicine ,Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Tumours of the digestive tract Radboud Institute for Molecular Life Sciences [Radboudumc 14] ,Medicine ,Family history ,skin and connective tissue diseases ,Phthalazine ,Ovarian Neoplasms ,medicine.diagnostic_test ,BRCA1 Protein ,Hematology ,3. Good health ,030220 oncology & carcinogenesis ,Practice Guidelines as Topic ,Hereditary Breast and Ovarian Cancer Syndrome ,Female ,Human ,medicine.medical_specialty ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Poly(ADP-ribose) Polymerase Inhibitors ,Patient pathway ,Olaparib ,` Ovarian cancer ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Ovarian cancer ,Internal medicine ,Journal Article ,Humans ,Genetic Testing ,Piperazine ,Germ-Line Mutation ,Genetic testing ,BRCA2 Protein ,business.industry ,Ovarian Neoplasm ,BRCA1 ,BRCA2 ,Tumor testing ,medicine.disease ,' Ovarian cancer ,030104 developmental biology ,chemistry ,Cancer research ,Phthalazines ,business - Abstract
Item does not contain fulltext The approval, in 2015, of the first poly (adenosine diphosphate-ribose) polymerase inhibitor (PARPi; olaparib, Lynparza) for platinum-sensitive relapsed high-grade ovarian cancer with either germline or somatic BRCA1/2 deleterious mutations is changing the way that BRCA1/2 testing services are offered to patients with ovarian cancer. Ovarian cancer patients are now being referred for BRCA1/2 genetic testing for treatment decisions, in addition to familial risk estimation, and irrespective of a family history of breast or ovarian cancer. Furthermore, testing of tumor samples to identify the estimated 3%-9% of patients with somatic BRCA1/2 mutations who, in addition to germline carriers, could benefit from PARPi therapy is also now being considered. This new testing paradigm poses some challenges, in particular the technical and analytical difficulties of analyzing chemically challenged DNA derived from formalin-fixed, paraffin-embedded specimens. The current manuscript reviews some of these challenges and technical recommendations to consider when undertaking BRCA1/2 testing in tumor tissue samples to detect both germline and somatic BRCA1/2 mutations. Also provided are considerations for incorporating genetic analysis of ovarian tumor samples into the patient pathway and ethical requirements.
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- 2017
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27. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers
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Kuchenbaecker, Karoline B, Neuhausen, Susan L, Robson, Mark, Barrowdale, Daniel, McGuffog, Lesley, Mulligan, Anna Marie, Andrulis, Irene L, Spurdle, Amanda B, Schmidt, Marjanka K, Schmutzler, Rita K, Engel, Christoph, Wappenschmidt, Barbara, Nevanlinna, Heli, Thomassen, Mads, Southey, Melissa, Radice, Paolo, Ramus, Susan J, Domchek, Susan M, Nathanson, Katherine L, Lee, Andrew, Healey, Sue, Nussbaum, Robert L, Rebbeck, Timothy R, Arun, Banu K, James, Paul, Karlan, Beth Y, Lester, Jenny, Cass, Ilana, Breast Cancer Family Registry, the, Terry, Mary Beth, Daly, Mary B, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Steele, Linda, v O Hansen, Thomas, Ejlertsen, Bent, Gerdes, Anne-Marie, Nielsen, Finn C, Dennis, Joe, Cunningham, Julie, Hart, Steven, Slager, Susan, Osorio, Ana, Benitez, Javier, Duran, Mercedes, Weitzel, Jeffrey N, Tafur, Isaac, Hander, Mary, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Roversi, Gaia, Scuvera, Giulietta, Bonanni, Bernardo, Mariani, Paolo, Volorio, Sara, Dolcetti, Riccardo, Varesco, Liliana, Papi, Laura, Tibiletti, Maria Grazia, Giannini, Giuseppe, Fostira, Florentia, Konstantopoulou, Irene, Garber, Judy, Hamann, Ute, Donaldson, Alan, Brewer, Carole, Foo, Claire, Evans, D Gareth, Frost, Debra, Eccles, Diana, EMBRACE Study, the, Douglas, Fiona, Brady, Angela, Cook, Jackie, Tischkowitz, Marc, Adlard, Julian, Barwell, Julian, Ong, Kai-ren, Walker, Lisa, Izatt, Louise, Side, Lucy E, Kennedy, M John, Rogers, Mark T, Porteous, Mary E, Morrison, Patrick J, Platte, Radka, Eeles, Ros, Davidson, Rosemarie, Hodgson, Shirley, Ellis, Steve, Godwin, Andrew K, Rhiem, Kerstin, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Steinemann, Doris, Bogdanova-Markov, Nadja, Kast, Karin, Varon-Mateeva, Raymonda, Wang-Gohrke, Shan, Gehrig, Andrea, Markiefka, Birgid, Buecher, Bruno, Lefol, Cédrick, Stoppa-Lyonnet, Dominique, Rouleau, Etienne, Prieur, Fabienne, Damiola, Francesca, GEMO Study Collaborators, the, Barjhoux, Laure, Faivre, Laurence, Longy, Michel, Sevenet, Nicolas, Sinilnikova, Olga M, Mazoyer, Sylvie, Bonadona, Valérie, Caux-Moncoutier, Virginie, Isaacs, Claudine, Van Maerken, Tom, Claes, Kathleen, Piedmonte, Marion, Andrews, Lesley, Hays, John, Rodriguez, Gustavo C, Caldes, Trinidad, de la Hoya, Miguel, Khan, Sofia, Hogervorst, Frans BL, Aalfs, Cora M, de Lange, JL, Meijers-Heijboer, Hanne EJ, van der Hout, Annemarie H, Wijnen, Juul T, van Roozendaal, KEP, Mensenkamp, Arjen R, van den Ouweland, Ans MW, van Deurzen, Carolien HM, van der Luijt, Rob B, HEBON, ., Olah, Edith, Diez, Orland, Lazaro, Conxi, Blanco, Ignacio, Teulé, Alex, Menendez, Mireia, Jakubowska, Anna, Lubinski, Jan, Cybulski, Cezary, Gronwald, Jacek, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Arason, Adalgeir, Maugard, Christine, Soucy, Penny, Montagna, Marco, Agata, Simona, Teixeira, Manuel R, KConFab Investigators, the, Olswold, Curtis, Lindor, Noralane, Pankratz, Vernon S, Hallberg, Emily, Wang, Xianshu, Szabo, Csilla I, Vijai, Joseph, Jacobs, Lauren, Corines, Marina, Lincoln, Anne, Berger, Andreas, Fink-Retter, Anneliese, Singer, Christian F, Rappaport, Christine, Gschwantler Kaulich, Daphne, Pfeiler, Georg, Tea, Muy-Kheng, Phelan, Catherine M, Mai, Phuong L, Greene, Mark H, Rennert, Gad, Imyanitov, Evgeny N, Glendon, Gord, Toland, Amanda Ewart, Bojesen, Anders, Pedersen, Inge Sokilde, Jensen, Uffe Birk, Caligo, Maria A, Friedman, Eitan, Berger, Raanan, Laitman, Yael, Rantala, Johanna, Arver, Brita, Loman, Niklas, Borg, Ake, Ehrencrona, Hans, Olopade, Olufunmilayo I, Simard, Jacques, Easton, Douglas F, Chenevix-Trench, Georgia, Offit, Kenneth, Couch, Fergus J, Antoniou, Antonis C, CIMBA, on behalf of, Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Lee, Andrew [0000-0003-0677-0252], Dennis, Joe [0000-0003-4591-1214], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Antoniou, Antonis [0000-0001-9223-3116], and Apollo - University of Cambridge Repository
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Cancer Research ,Receptor, ErbB-2 ,Genes, BRCA2 ,BRCA ,LOCI ,Genes, BRCA1 ,MODIFIERS ,VARIANTS ,ErbB-2 ,610 Medical sciences Medicine ,Ductal ,Receptors ,Medicine and Health Sciences ,INVESTIGATORS ,Breast ,skin and connective tissue diseases ,Progesterone ,Medicine(all) ,Carcinoma, Ductal, Breast ,Middle Aged ,Adult ,Aged ,Alleles ,Breast Neoplasms ,Carcinoma ,Carcinoma, Lobular ,Female ,Genetic Predisposition to Disease ,Heterozygote ,Humans ,Neoplasm Grading ,Neoplasm Staging ,Receptors, Estrogen ,Receptors, Progesterone ,Oncology ,TUMOR SUBTYPES ,Receptor ,Research Article ,MEDULLARY CARCINOMA ,OVARIAN-CANCER ,Lobular ,GENOME-WIDE ASSOCIATION ,CONSORTIUM ,BRCA1 ,Estrogen ,BRCA2 ,ESTROGEN-RECEPTOR ,Genes - Abstract
Introduction More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC) = 0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC = 0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC = 0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P
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28. Neoadjuvant Chemotherapy With the Angiogenesis Inhibitor Bevacizumab for Locally Advanced Cervical Cancer.
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Baek S, Noh KW, Zhao Y, Schoemig-Markiefka B, Ratiu D, Domroese C, Mallmann M, Mallmann P, and Pilch H
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- Humans, Female, Middle Aged, Adult, Aged, Angiogenesis Inhibitors therapeutic use, Angiogenesis Inhibitors administration & dosage, Treatment Outcome, Prognosis, Bevacizumab administration & dosage, Bevacizumab therapeutic use, Uterine Cervical Neoplasms drug therapy, Uterine Cervical Neoplasms pathology, Uterine Cervical Neoplasms mortality, Neoadjuvant Therapy methods, Neoplasm Staging, Antineoplastic Combined Chemotherapy Protocols therapeutic use
- Abstract
Background/aim: We hypothesized that adding bevacizumab to platinum-based neoadjuvant chemotherapy - whose efficacy for patients with recurrent or metastatic cervical cancer has already been proven - could optimize the therapy regimen, leading to improved response rates and survival outcomes., Patients and Methods: Forty patients with histologically confirmed cervical cancer with FIGO stage IB3-IVA who received platinum-based neoadjuvant treatment between March 2008 and January 2019 in the Department of Obstetrics and Gynecology of University Hospital Cologne were analyzed. Twenty patients were treated with additional bevacizumab. The comparative cohort consisted of 18 patients treated with neoadjuvant chemotherapy alone. The response rates and clinical outcomes, including progression-free survival and overall survival, were evaluated., Results: Neoadjuvant chemotherapy combined with bevacizumab significantly improved the response rate (p=0.046). The survival analysis showed that patients treated without bevacizumab had better progression-free survival up to FIGO stage IVA than patients treated with bevacizumab. However, overall survival was similar for both cohorts. For patients with advanced tumor stage, including FIGO IVB, progression-free survival and overall survival improved with the addition of bevacizumab. Pathological complete remission was a statistically significant prognostic factor for progression-free survival (p=0.039) but did not significantly affect overall survival (p=0.098)., Conclusion: While bevacizumab did not demonstrate a significant improvement in overall survival rates, it was associated with a notable reduction in tumor size and showed a trend towards improved clinical response rates. These findings suggest that bevacizumab may have potential in optimizing the neoadjuvant treatment approach., (Copyright © 2024, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
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- 2024
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29. Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.
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Griem J, Eich ML, Schallenberg S, Pryalukhin A, Bychkov A, Fukuoka J, Zayats V, Hulla W, Munkhdelger J, Seper A, Tsvetkov T, Mukhopadhyay A, Sanner A, Stieber J, Fuchs M, Babendererde N, Schömig-Markiefka B, Klein S, Buettner R, Quaas A, and Tolkach Y
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- Humans, Algorithms, Biopsy, Medical Oncology, Radiopharmaceuticals, Artificial Intelligence, Colorectal Neoplasms diagnosis
- Abstract
Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (resections and biopsies) and clinically validate the tool for tumor detection in biopsy specimens. The training data set included 241 precisely manually annotated whole-slide images (WSIs) from multiple institutions. The algorithm was trained for semantic segmentation of 11 tissue classes with an additional module for biopsy WSI classification. Six case cohorts from 5 pathology departments (4 countries) were used for formal and clinical validation, digitized by 4 different scanning systems. The developed algorithm showed high precision of segmentation of different tissue classes in colorectal specimens with composite multiclass Dice score of up to 0.895 and pixel-wise tumor detection specificity and sensitivity of up to 0.958 and 0.987, respectively. In the clinical validation study on multiple external cohorts, the AI tool reached sensitivity of 1.0 and specificity of up to 0.969 for tumor detection in biopsy WSI. The AI tool analyzes most biopsy cases in less than 1 minute, allowing effective integration into clinical routine. We developed and extensively validated a highly accurate, clinical-grade tool for assistive diagnostic processing of colorectal specimens. This tool allows for quantitative deciphering of colorectal cancer tissue for development of prognostic and predictive biomarkers and personalization of oncologic care. This study is a foundation for a SemiCOL computational challenge. We open-source multiple manually annotated and weakly labeled test data sets, representing a significant contribution to the colorectal cancer computational pathology field., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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30. Tumour area infiltration and cell count in endoscopic biopsies of therapy-naive upper GI tract carcinomas by QuPath analysis: implications for predictive biomarker testing.
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Scheel AH, Lamberty H, Tolkach Y, Gebauer F, Schoemig-Markiefka B, Zander T, Buettner R, Rueschoff J, Bruns CJ, Schroeder W, and Quaas A
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- Humans, Biopsy, Biomarkers, Cell Count, Stomach Neoplasms diagnosis, Upper Gastrointestinal Tract, Carcinoma
- Abstract
Guidelines regulate how many (tumour-bearing) tissue particles should be sampled during gastric cancer biopsy to obtain representative results in predictive biomarker testing. Little is known about how well these guidelines are applied, how the number of tissue particles correlates with the actual tumour-infiltrated area and how many absolute tumour cells are captured. The study included endoscopic biopsies of untreated carcinomas of the upper gastrointestinal (GI)-tract during the 2016-2020 review period. Archival (H&E)-stained histological sections were digitised and the tumour areas were manually annotated. The tumour-bearing tissue area and absolute carcinoma cell count per case were determined by image analysis and compared with a reference primary surgical specimen. Biopsies from 253 patients were analysed. The following mean values were determined: (a) tumour tissue particle number: 6.5 (range: 1-25, standard deviation (SD) = 3.33), (b) number of tumour-bearing tissue particles: 4.7 (range: 1-20, SD = 2.80), (c) tumour-infiltrated area: 7.5 mm
2 (range: 0.18-59.46 mm2 , SD = 6.67 mm2 ), (d) absolute tumour cell count: 13,492 (range: 193-92,834, SD = 14,185) and (e) tumour cell count in a primary surgical specimen (tumour size: 6.7 cm): 105,200,176. The guideline-recommended tissue particle count of 10 was not achieved in 208 patients (82.2%) and the required tumour-bearing tissue particle count of 5 was not achieved in 133 patients (52.6%). Tissue particle count, tumour-infiltrated area and tumour cell count were only weakly correlated. Most cases featured an infiltrated area ≥ 4.5 mm2 (156, 61.7%). Cases with more tissue particles showed only a moderate increase in infiltrated area and tumour cells compared to cases with fewer particles. Biopsies are often used to determine predictive biomarkers, particularly Her2/neu and PD-L1. Diagnostic standards to ensure representative material have been suggested in guidelines to reduce false-negative predictions. However, the real-world practice seems to substantially deviate from recommended standards. To the best of our knowledge, this is the first systematic study describing the relationships between endoscopic tissue fragment number, actual infiltrated tumour area and carcinoma cell number. The data question the tissue particle number as a quality assessment parameter. We advocate histopathological reports indicating on which basis statements on therapy-relevant biomarkers were made. Digital pathology has the potential to objectively quantify the tissue for documentation, quality assessment and future clinical studies., (© 2023. Springer Nature Limited.)- Published
- 2023
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31. Pathogenic germline variants in SMARCA4 and further cancer predisposition genes in early onset ovarian cancer.
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Herold N, Schmolling J, Ernst C, Ataseven B, Blümcke B, Schömig-Markiefka B, Heikaus S, Göhring UJ, Engel C, Lampe B, Rhiem K, Harter P, Hauke J, Schmutzler RK, and Hahnen E
- Subjects
- Humans, Female, Germ Cells, Genetic Predisposition to Disease, DNA Helicases genetics, Nuclear Proteins genetics, Transcription Factors genetics, Germ-Line Mutation, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology
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- 2023
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32. Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study.
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Tolkach Y, Wolgast LM, Damanakis A, Pryalukhin A, Schallenberg S, Hulla W, Eich ML, Schroeder W, Mukhopadhyay A, Fuchs M, Klein S, Bruns C, Büttner R, Gebauer F, Schömig-Markiefka B, and Quaas A
- Subjects
- Humans, Artificial Intelligence, Retrospective Studies, Algorithms, Esophageal Neoplasms diagnosis, Esophageal Neoplasms pathology, Esophageal Neoplasms surgery, Adenocarcinoma diagnosis, Adenocarcinoma pathology, Adenocarcinoma surgery
- Abstract
Background: Oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction are among the most common malignant epithelial tumours. Most patients receive neoadjuvant therapy before complete tumour resection. Histological assessment after resection includes identification of residual tumour tissue and areas of regressive tumour, data which are used to calculate a clinically relevant regression score. We developed an artificial intelligence (AI) algorithm for tumour tissue detection and tumour regression grading in surgical specimens from patients with oesophageal adenocarcinoma or adenocarcinoma of the oesophagogastric junction., Methods: We used one training cohort and four independent test cohorts to develop, train, and validate a deep learning tool. The material consisted of histological slides from surgically resected specimens from patients with oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction from three pathology institutes (two in Germany, one in Austria) and oesophageal cancer cohort of The Cancer Genome Atlas (TCGA). All slides were from neoadjuvantly treated patients except for those from the TCGA cohort, who were neoadjuvant-therapy naive. Data from training cohort and test cohort cases were extensively manually annotated for 11 tissue classes. A convolutional neural network was trained on the data using a supervised principle. First, the tool was formally validated using manually annotated test datasets. Next, tumour regression grading was assessed in a retrospective cohort of post-neoadjuvant therapy surgical specimens. The grading of the algorithm was compared with that of a group of 12 board-certified pathologists from one department. To further validate the tool, three pathologists processed whole resection cases with and without AI assistance., Findings: Of the four test cohorts, one included 22 manually annotated histological slides (n=20 patients), one included 62 sides (n=15), one included 214 slides (n=69), and the final one included 22 manually annotated histological slides (n=22). In the independent test cohorts the AI tool had high patch-level accuracy for identifying both tumour and regression tissue. When we validated the concordance of the AI tool against analyses by a group of pathologists (n=12), agreement was 63·6% (quadratic kappa 0·749; p<0·0001) at case level. The AI-based regression grading triggered true reclassification of resected tumour slides in seven cases (including six cases who had small tumour regions that were initially missed by pathologists). Use of the AI tool by three pathologists increased interobserver agreement and substantially reduced diagnostic time per case compared with working without AI assistance., Interpretation: Use of our AI tool in the diagnostics of oesophageal adenocarcinoma resection specimens by pathologists increased diagnostic accuracy, interobserver concordance, and significantly reduced assessment time. Prospective validation of the tool is required., Funding: North Rhine-Westphalia state, Federal Ministry of Education and Research of Germany, and the Wilhelm Sander Foundation., Competing Interests: Declaration of interests YT has received consultancy fees from, and has a royalty agreement with, Indica Labs. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
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- 2023
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33. Genomic ALK alterations in primary and relapsed neuroblastoma.
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Rosswog C, Fassunke J, Ernst A, Schömig-Markiefka B, Merkelbach-Bruse S, Bartenhagen C, Cartolano M, Ackermann S, Theissen J, Blattner-Johnson M, Jones B, Schramm K, Altmüller J, Nürnberg P, Ortmann M, Berthold F, Peifer M, Büttner R, Westermann F, Schulte JH, Simon T, Hero B, and Fischer M
- Subjects
- Child, Humans, Anaplastic Lymphoma Kinase genetics, Neoplasm Recurrence, Local genetics, Genomics, Receptor Protein-Tyrosine Kinases genetics, Neuroblastoma genetics, Neuroblastoma pathology
- Abstract
Background: Genomic alterations of the anaplastic lymphoma kinase gene (ALK) occur recurrently in neuroblastoma, a pediatric malignancy of the sympathetic nervous system. However, information on their development over time has remained sparse., Methods: ALK alterations were assessed in neuroblastomas at diagnosis and/or relapse from a total of 943 patients, covering all stages of disease. Longitudinal information on diagnostic and relapsed samples from individual patients was available in 101 and 102 cases for mutation and amplification status, respectively., Results: At diagnosis, ALK point mutations occurred in 10.5% of all cases, with highest frequencies in stage 4 patients <18 months. At relapse, ALK alteration frequency increased by 70%, both in high-risk and non-high-risk cases. The increase was most likely due to de novo mutations, frequently leading to R1275Q substitutions, which are sensitive to pharmacological ALK inhibition. By contrast, the frequency of ALK amplifications did not change over the course of the disease. ALK amplifications, but not mutations, were associated with poor patient outcome., Conclusions: The considerably increased frequency of ALK mutations at relapse and their high prevalence in young stage 4 patients suggest surveying the genomic ALK status regularly in these patient cohorts, and to evaluate ALK-targeted treatment also in intermediate-risk patients., (© 2023. The Author(s).)
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- 2023
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34. Prevalence of abnormal Pap smear results in inflammatory bowel disease: a prospective study.
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Brunner A, Kruis W, Schömig-Markiefka B, Morgenstern J, Engels M, Büttner R, and Forner DM
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- Cohort Studies, Female, Humans, Immunosuppressive Agents adverse effects, Papanicolaou Test, Papillomaviridae, Prevalence, Prospective Studies, Vaginal Smears, Alphapapillomavirus, Inflammatory Bowel Diseases complications, Inflammatory Bowel Diseases epidemiology, Papillomavirus Infections complications, Papillomavirus Infections diagnosis, Papillomavirus Infections epidemiology, Uterine Cervical Neoplasms diagnosis, Uterine Cervical Neoplasms epidemiology, Uterine Cervical Neoplasms pathology
- Abstract
Purpose: Development of malignancy is a pending threat for patients with inflammatory bowel disease (IBD). Aim of this study was to analyze cervical dysplasia and infection with human papilloma virus (HPV) in patients with IBD., Methods: This was a prospective, single center cohort study in Germany. Consecutive IBD patients admitted to the Department of Gastroenterology were sent to Gynecology, where a questionnaire was answered and gynecological examinations including a smear for cytology and HPV were taken. Participants of a general screening program constituted controls. Descriptive statistics, 95% confidence intervals and odds ratios were calculated., Results: A total of 101 patients were recruited of which 99 patients participated. Analysis showed a significant (p = 0.05) difference between the prevalence of abnormal smears in patients with (22%) and without (6%) immunosuppressive therapy, while the latter had cervical abnormalities comparable with healthy controls (5%). All immunosuppressants showed similarly high risks for abnormal smear results. Only 11/99 (11%) patients had positive high-risk HPV tests, which is comparable with general population., Conclusion: The prevalence of abnormal cervical smears is higher in IBD patients compared to healthy individuals, but the difference is confined to patients with IBD and immunosuppressive therapy. Annual screening is advisable., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2022
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35. Sensitivity and specificity of loss of heterozygosity analysis for the classification of rare germline variants in BRCA1/2 : results of the observational AGO-TR1 study (NCT02222883).
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Hauke J, Harter P, Ernst C, Burges A, Schmidt S, Reuss A, Borde J, De Gregorio N, Dietrich D, El-Balat A, Kayali M, Gevensleben H, Hilpert F, Altmüller J, Heimbach A, Meier W, Schoemig-Markiefka B, Thiele H, Kimmig R, Nürnberg P, Kast K, Richters L, Sehouli J, Schmutzler RK, and Hahnen E
- Subjects
- BRCA1 Protein genetics, BRCA2 Protein genetics, Female, Genes, BRCA1, Genetic Predisposition to Disease, Germ Cells pathology, Germ-Line Mutation genetics, Humans, Loss of Heterozygosity genetics, Breast Neoplasms diagnosis, Breast Neoplasms genetics, Ovarian Neoplasms diagnosis, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology
- Abstract
Variant-specific loss of heterozygosity (LOH) analyses may be useful to classify BRCA1/2 germline variants of unknown significance (VUS). The sensitivity and specificity of this approach, however, remains unknown. We performed comparative next-generation sequencing analyses of the BRCA1/2 genes using blood-derived and tumour-derived DNA of 488 patients with ovarian cancer enrolled in the observational AGO-TR1 trial (NCT02222883). Overall, 94 pathogenic, 90 benign and 24 VUS were identified in the germline. A significantly increased variant fraction (VF) of a germline variant in the tumour indicates loss of the wild-type allele; a decreased VF indicates loss of the variant allele. We demonstrate that significantly increased VFs predict pathogenicity with high sensitivity (0.84, 95% CI 0.77 to 0.91), poor specificity (0.63, 95% CI 0.53 to 0.73) and poor positive predictive value (PPV; 0.71, 95% CI 0.62 to 0.79). Significantly decreased VFs predict benignity with low sensitivity (0.26, 95% CI 0.17 to 0.35), high specificity (1.0, 95% CI 0.96 to 1.00) and PPV (1.0, 95% CI 0.85 to 1.00). Variant classification based on significantly increased VFs results in an unacceptable proportion of false-positive results. A significantly decreased VF in the tumour may be exploited as a reliable predictor for benignity, with no false-negative result observed. When applying the latter approach, VUS identified in four patients can now be considered benign. Trial registration number NCT02222883., Competing Interests: Competing interests: PH: consulting or advisory role: AstraZeneca, Roche/Genentech, Tesaro, Clovis, Pharmamar Lilly and Sotio; research funding: AstraZeneca (Inst); travel, accommodations and expenses: Medac. AB: honoraria: AstraZeneca and Roche; consulting or advisory role: AstraZeneca and Roche. DD is a consultant for AJ Innuscreen GmbH (Berlin, Germany), a 100% daughter company of Analytik Jena AG (Jena, Germany) and receives royalties from product sales (innuCONVERT kits). KK: honoraria: Roche, Pfizer and AstraZeneca. JS: honoraria: AstraZeneca, PharmaMar, Roche and Tesaro; consulting or advisory role: AstraZeneca, Clovis Oncology, Novocure, Roche and Tesaro; research funding: Amgen (Inst), Bayer (Inst), Lilly (Inst) and Novartis (Inst). RKS: honoraria: AstraZeneca; consulting or advisory role: AstraZeneca; research funding: AstraZeneca (Inst); patents, royalties, other intellectual property: University of Cologne. EH: honoraria: AstraZeneca; consulting or advisory role: AstraZeneca; research funding: AstraZeneca (Inst)., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2022
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36. Quality control stress test for deep learning-based diagnostic model in digital pathology.
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Schömig-Markiefka B, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Madabhushi A, Achter V, Nieroda L, Büttner R, Quaas A, and Tolkach Y
- Subjects
- Humans, Male, Prostatic Neoplasms classification, Reproducibility of Results, Artifacts, Deep Learning, Image Processing, Computer-Assisted, Neural Networks, Computer, Pathology, Clinical methods, Prostatic Neoplasms diagnosis, Quality Control
- Abstract
Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections' thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study, we digitally reproduce major types of artifacts. Using six datasets from four different institutions digitized by different scanner systems, we systematically explore artifacts' influence on the accuracy of the pre-trained, validated, deep learning-based model for prostate cancer detection in histological slides. We provide evidence that any histological artifact dependent on severity can lead to a substantial loss in model performance. Strategies for the prevention of diagnostic model accuracy losses in the context of artifacts are warranted. Stress-testing of diagnostic models using synthetically generated artifacts might be an essential step during clinical validation of deep learning-based algorithms., (© 2021. The Author(s).)
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- 2021
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37. Sex-specific prognostic effect of CD66b-positive tumor-infiltrating neutrophils (TANs) in gastric and esophageal adenocarcinoma.
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Quaas A, Pamuk A, Klein S, Quantius J, Rehkaemper J, Barutcu AG, Rueschoff J, Zander T, Gebauer F, Hillmer A, Buettner R, Schroeder W, Bruns CJ, Löser H, Schoemig-Markiefka B, and Alakus H
- Subjects
- Adenocarcinoma pathology, Antigens, CD, Cell Adhesion Molecules, Cohort Studies, Combined Modality Therapy, Esophageal Neoplasms pathology, Female, GPI-Linked Proteins, Gender Identity, Germany, Humans, Male, Middle Aged, Neoadjuvant Therapy, Prognosis, Stomach Neoplasms pathology, Survival Analysis, Adenocarcinoma mortality, Esophageal Neoplasms mortality, Neutrophils pathology, Stomach Neoplasms mortality
- Abstract
Background: Tumor-associated neutrophils (TANs) have recently been identified as a relevant component of the tumor microenvironment (TME) in solid tumors. Within the TME TANs mediate either tumor-promoting or tumor-inhibiting activities. So far, their prognostic relevance remains to be determined. This study aims to evaluate the prognostic relevance of TANs in different molecular subtypes of gastric and esophageal adenocarcinoma., Methods: We analyzed a total of 1118 Caucasian patients divided into gastric adenocarcinoma (n = 458) and esophageal adenocarcinoma cohort (n = 660) of primarily resected and neoadjuvant-treated individuals. The amount of CD66b + TANs in the tumor stroma was determined using quantitative image analysis and correlated to both molecular, as well as clinical data., Results: An accumulation of TANs in the tumor stroma of gastric carcinomas was associated to a significant favorable prognosis (p = 0.026). A subgroup analysis showed that this effect was primarily related to the molecular chromosomal instable subtype (CIN) of gastric carcinomas (p = 0.010). This was only observed in female patients (p = 0.014) but not in male patients (p = 0.315). The same sex-specific effect could be confirmed in adenocarcinomas of the esophagus (p = 0.027), as well as in female individuals after receiving neoadjuvant therapy (p = 0.034)., Conclusions: Together, we show a sex-specific prognostic effect of TANs in gastric cancer within a Caucasian cohort. For the first time, we showed that this sex-specific prognostic effect of TANs can also be seen in esophageal cancer., (© 2021. The Author(s).)
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- 2021
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38. Modern day screening for Lynch syndrome in endometrial cancer: the KEM experience.
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Pauly N, Baert T, Schmutzler R, du Bois A, Schneider S, Rhiem K, Schömig-Markiefka B, Siemanowski J, Heikaus S, Traut A, Heitz F, Prader S, Ehmann S, Harter P, and Ataseven B
- Subjects
- DNA Methylation, DNA Mismatch Repair genetics, Early Detection of Cancer, Female, Humans, MutL Protein Homolog 1 genetics, MutL Protein Homolog 1 metabolism, Colorectal Neoplasms, Hereditary Nonpolyposis diagnosis, Colorectal Neoplasms, Hereditary Nonpolyposis genetics, Endometrial Neoplasms diagnosis, Endometrial Neoplasms genetics
- Abstract
Purpose: Current guidelines for Lynch syndrome detection in endometrial cancer (EC) patients rely either on risk evaluation, based on personal/family history, or detection of mismatch repair (MMR) deficiency on tumor tissue. We present a combined screening algorithm for Lynch syndrome., Methods: In this study, 213 consecutive patients treated for EC at Kliniken Essen-Mitte between 2014 and 2018 were included. Personal/family history was evaluated by the Amsterdam II, revised Bethesda/German-DKG criteria and prediction model PREMM
5 . MMR testing was performed by immunohistochemistry (IHC) and/or polymerase chain reaction (PCR) based microsatellite analysis on tumor tissue. MLH1 promoter methylation analysis was performed in case of MLH1 loss or microsatellite instability., Results: Based on personal/family history 2/213 (Amsterdam II), 31/213 (revised Bethesda/German-DKG) and 149/213 (PREMM5 ) patients were identified as at risk for Lynch syndrome. MMR analysis was performed by IHC in 51.2%, by PCR in 32.4%, and in 16.4% of patients both methods were used. MMR deficiency was detected in 20.6% (44/213). Methylation analysis was performed in 27 patients of whom, 22 (81.4%) showed MLH1 promoter hypermethylation. Only 9% of MMR deficient patients were identified as at risk for Lynch syndrome by the revised Bethesda/German-DKG criteria. A pathogenic germline mutation was discovered in 3 out of 20 patients that underwent genetic testing. None of these patients were younger than 50 years or had a family history of Lynch syndrome-associated malignancies., Conclusion: General MMR assessment is a feasible strategy to improve the detection of Lynch Syndrome in patients with EC., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2021
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39. Optimized PD-L1 scoring of gastric cancer.
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Schoemig-Markiefka B, Eschbach J, Scheel AH, Pamuk A, Rueschoff J, Zander T, Buettner R, Schroeder W, Bruns CJ, Loeser H, Alakus H, and Quaas A
- Subjects
- Biomarkers, Tumor analysis, Biopsy, Humans, Immunohistochemistry, B7-H1 Antigen, Stomach Neoplasms surgery
- Abstract
Background: PD-1/PD-L1-Immunotherapy has been approved for gastric carcinoma. PD-L1 assessment by immunohistochemistry is the principle biomarker. Are biopsies able to map the actual PD-L1 status of the entire tumor?, Methods: Whole tumor slides of 56 gastric carcinoma were analyzed to determine the distribution of PD-L1 positive cells in the entire tumor areas. Tissue micro arrays with four cores of the tumor surface, which represents the endoscopically accessible biopsy zone, were built from the same tumors. The PD-L1 CPS value was determined separately for each core. Preoperative diagnostic biopsies were available for 22 of the tumors. PD-L1 prevalence, sensitivity and specificity were analyzed using the whole tumor slides as reference scores. Molecular subtyping was performed and related to the PD-L1 status., Results: 27.3% of cases were PD-L1 negative (CPS < 1), 43.6% showed low PD-L1 expression (CPS ≥ 1 to < 5), 12.7% moderate (CPS ≥ 5 to < 10) and 16.4% strong expression (CPS ≥ 10). The biopsies showed best test characteristics if four surface biopsies were analyzed combined, i.e., the CPS was calculated across all four biopsies. The prevalence showed a distribution similar to the resection specimens, sensitivity was 0.73 and specificity 1.0. Using fewer surface biopsies decreased sensitivity and specificity and caused false-negative classifications. Compared to the TMAs, the preoperative biopsies showed reduced sensitivity (0.412)., Conclusions: This is the first comprehensive study to optimize PD-L1 assessment in gastric cancer using endoscopically available tissue. The obtained PD-L1 prevalence is consistent with data of current clinical studies. Calculation of the test characteristics shows that surface biopsies can be indicative of the true PD-L1 status based on the resection specimen. However, an adequate number of biopsies is required. In this study, n = 4 biopsies yielded best results., (© 2021. The Author(s).)
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- 2021
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40. Occurrence of High Microsatellite-Instability/Mismatch Repair Deficiency in Nearly 2,000 Human Adenocarcinomas of the Gastrointestinal Tract, Pancreas, and Bile Ducts: A Study From a Large German Comprehensive Cancer Center.
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Quaas A, Rehkaemper J, Rueschoff J, Pamuk A, Zander T, Hillmer A, Siemanowski J, Wittig J, Buettner R, Plum P, Popp F, Gebauer F, Bruns CJ, Loeser H, Alakus H, and Schoemig-Markiefka B
- Abstract
Introduction: Knowledge of the high microsatellite-instability (MSI-H)/mismatch repair deficiency (MMRd) status is of increasing interest for personalized neoadjuvant or adjuvant therapy planning. Only a few studies are available on MSI-H distribution in the Northern European Caucasian patient population. In this study, we focused on a large cohort of tumors of the upper gastrointestinal tract., Materials and Methods: Surgical material from a total of 1,965 patients was analyzed for MSI-H/MMRd status (including 1,267 carcinomas of the esophagus or stomach). All tumors were analyzed with an internationally recommended immunohistochemical panel consisting of four antibodies (MLH1, MSH2, PMS2, and MSH6). The results were molecularly objectified., Results: Adenocarcinomas with MSI-H/MMRd were detected with the following distribution: esophagus (1.4%), stomach (8.3%), small intestine (18.2%), large intestine (8.5%), intrahepatic bile ducts (1.9%), and pancreas (0%). In case of gastric tumors with MSI-H/MMRd, neoadjuvant therapy did not influence the prognosis of patients (p = 0.94). Within all tumor entities with MSI-H/MMRd, patients with a UICC stage 4 were also represented. In this advanced stage, 11.7% of patients with MSS tumors were diagnosed compared to 0.5% of patients with MSI-H tumors relative to the entire tumor collective., Discussion: In this study, the proportion of MSI-H/MMRd tumors in the stomach is smaller than would have been expected in knowledge of the data published by TCGA or AGRC. Negative prognostic effects regarding MSI-H status and neoadjuvant therapy as described by the MAGIC study group were not seen in our cohort. The extent to which the MSI-H/MMRd status should be known for neoadjuvant therapy planning must be clarified in prospective studies in the future. At present, there is no convincing data to dispense the neoadjuvant therapy for gastric carcinoma. Due to the very convincing, positive data regarding the response rates of MSI-H tumors to treatment with PD1/PD-L1 inhibitors, every metastatic carcinoma of the gastrointestinal tract should be tested for its MSI-H status., Competing Interests: Author JR was employed by company Nordhessen and Targos Molecular Pathology GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Quaas, Rehkaemper, Rueschoff, Pamuk, Zander, Hillmer, Siemanowski, Wittig, Buettner, Plum, Popp, Gebauer, Bruns, Loeser, Alakus and Schoemig-Markiefka.)
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- 2021
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41. First description of hematogenously metastasized sclerosing epithelioid fibrosarcoma arising in the uterine cervix.
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Eich ML, Morgenstern B, Puesken M, Pappesch R, Quaas A, and Schoemig-Markiefka B
- Abstract
•First Case of hematogenously metastasized sclerosing epithelioid fibrosarcoma arising primarily in the cervix uteri.•Tumor cells were strongly and diffusely positive for MUC4.•Tumor showed a rare EWSR1-CREB3L2 gene fusion., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors.)
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- 2021
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42. Managing Difficulties of Microsatellite Instability Testing in Endometrial Cancer-Limitations and Advantages of Four Different PCR-Based Approaches.
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Siemanowski J, Schömig-Markiefka B, Buhl T, Haak A, Siebolts U, Dietmaier W, Arens N, Pauly N, Ataseven B, Büttner R, and Merkelbach-Bruse S
- Abstract
Microsatellite instability (MSI), a common alteration in endometrial cancers (EC) is known as a biomarker for immune checkpoint therapy response alongside screening for Lynch Syndrome (LS). However, former studies described challenging MSI profiles in EC hindering analysis by using MSI testing methods intensively validated for colorectal cancer (CRC) only. In order to reduce false negatives, this study examined four different PCR-based approaches for MSI testing using 25 EC samples already tested for mismatch repair deficiency (dMMR). In a follow up validation set of 75 EC samples previously tested both for MMR and MSI, the efficiency of a seven-marker system corresponding to the Idylla system was further analyzed. Both Bethesda and Promega marker panels require trained operators to overcome interpretation complexities caused by either hardly visible additional peaks of one and two nucleotides, or small shifts in microsatellite repeat length. Using parallel sequencing adjustment of bioinformatics is needed. Applying the Idylla MSI assay, an evaluation of input material is more crucial for reliable results and is indispensable. Following MMR deficiency testing as a first-line screening procedure, additional testing with a PCR-based method is necessary if inconclusive staining of immunohistochemistry (IHC) must be clarified.
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- 2021
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43. Preoperative biopsies as predictor for the necessity of inguinal lymph node surgery in squamous cell carcinoma of the vulva-a retrospective tertiary center analysis.
- Author
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Pahmeyer C, Thangarajah F, Ratiu D, Schultheis AM, Schömig-Markiefka B, Mallmann P, and Morgenstern B
- Subjects
- Adult, Aged, Aged, 80 and over, Biopsy methods, Female, Humans, Lymph Node Excision, Lymphatic Metastasis, Middle Aged, Predictive Value of Tests, Preoperative Care methods, Retrospective Studies, Tertiary Care Centers, Carcinoma, Squamous Cell pathology, Carcinoma, Squamous Cell surgery, Lymph Nodes pathology, Lymph Nodes surgery, Vulvar Neoplasms pathology, Vulvar Neoplasms surgery
- Abstract
Purpose: Squamous cell carcinoma of the vulva (SQCV) is the fifth common cancer in women. Necessity of inguinal lymph node surgery depends on the depth of stromal invasion, inducing lymph node surgery, if depth of invasion is more than 1 mm. In this study we tested the prediction of stromal infiltration depth by measurements in preoperative biopsies., Methods: We analyzed whether a different operative strategy in respect to lymph node surgery would have been chosen based on the pre- or postoperative depth of stromal invasion for each patient. Examination of infiltration depth in preoperative biopsies and surgical specimen were compared., Results: In total 77 patients were included in this study. Of those 89.6% showed different depths of stromal invasion comparing the pre- and postoperative specimen. Within seventeen patients (22.1%) preoperative depth was 1 mm or less and a postoperative depth was > 1 mm., Conclusion: We pointed, that only in 77.9% of the patients who should have undergo lymph node surgery based on the postoperative depth of infiltration underwent this procedure. Consequentially in 22.1% of the cases a second operation could not be prevented with a preoperative taken biopsy as indicator for the necessity of lymph node surgery.
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- 2020
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44. A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
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Marnitz S, Walter T, Schömig-Markiefka B, Engler T, Kommoss S, and Brucker SY
- Abstract
Endometrial cancer has been histologically classified as either an estrogen-dependent cancer with a favorable outcome or an estrogen-independent cancer with a worse prognosis. These parameters, along with the clinical attributions, have been the basis for risk stratification. Recent molecular and histopathological findings have suggested a more complex approach to risk stratification. Findings from the Cancer Genome Atlas Research Network established four distinctive genomic groups: ultramutated, hypermutated, copy-number low and copy-number high prognostic subtypes. Subsequently, more molecular and histopathologic classifiers were evaluated for their prognostic and predictive value. The impact of molecular classification is evident and will be recognized by the upcoming WHO classification. Further research is needed to give rise to a new era of molecular-based endometrial carcinoma patient care.
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- 2020
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45. Amplification of KRAS and its heterogeneity in non-Asian gastric adenocarcinomas.
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Rehkaemper J, Korenkov M, Quaas A, Rueschoff J, Pamuk A, Zander T, Hillmer AM, Buettner R, Hoelscher AH, Bruns CJ, Loeser H, Alakus H, and Schoemig-Markiefka B
- Subjects
- Adenocarcinoma mortality, Adenocarcinoma pathology, Adult, Aged, Female, Humans, Male, Middle Aged, Prognosis, Proto-Oncogene Proteins p21(ras) analysis, Stomach Neoplasms mortality, Stomach Neoplasms pathology, Adenocarcinoma genetics, Gene Amplification, Proto-Oncogene Proteins p21(ras) genetics, Stomach Neoplasms genetics
- Abstract
Background: Gastric cancer is one of the deadliest cancer entities worldwide. While surgery is the only curative treatment option in early tumors, for locally advanced and metastatic patients further therapeutic targets are needed. Several studies not only reported mutations but also amplifications of the KRAS locus in different cancer entities. More recently, KRAS amplification was discussed as a new therapeutic target. Little is known about the (prognostic) relevance and (heterogenic) distribution of KRAS amplification in gastric adenocarcinomas, especially in Non-Asian patients., Methods: Amplification of the KRAS locus and corresponding protein expression was analyzed in 582 gastric adenocarcinomas employing fluorescence in-situ hybridization (FISH) and immunohistochemistry. Amplification status was correlated with clinico-pathological features, clinical outcome and molecular tumor data including a correlation to the TCGA subtypes of gastric carcinoma., Results: KRAS amplification was detected in 27 out of 470 analysable tumors (5.7%) and correlated with protein expression of KRAS in all amplified tumors. Within the KRAS amplified gastric tumors 14/27 (51.9%) showed a heterogeneous distribution with also KRAS non-amplified tumor parts. According to TCGA 24 tumors (88.8%) were related to chromosomal instable tumors (CIN). The survival analysis of the entire patient cohort did not show any difference in overall survival in dependence on the KRAS status. However, a significant survival difference with a worse outcome for patients with KRAS amplified tumors was identified when analysing patients without neoadjuvant pre-treatment., Conclusions: We confirm the unfavorable prognosis of KRAS amplified tumors reported by other studies in (Asian) patient groups, at least in patients without neoadjuvant pre-treatment. Within KRAS amplified tumors we revealed intratumoral heterogeneity that may define a (more aggressive) tumor cell population which is more frequently observed in patients with lymph node metastases. Despite the heterogeneous distribution of KRAS amplified tumor clones, KRAS amplified locally advanced or metastasized gastric adenocarcinomas represent a therapeutically highly relevant tumor subgroup.
- Published
- 2020
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46. Deleterious somatic variants in 473 consecutive individuals with ovarian cancer: results of the observational AGO-TR1 study (NCT02222883).
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Hauke J, Hahnen E, Schneider S, Reuss A, Richters L, Kommoss S, Heimbach A, Marmé F, Schmidt S, Prieske K, Gevensleben H, Burges A, Borde J, De Gregorio N, Nürnberg P, El-Balat A, Thiele H, Hilpert F, Altmüller J, Meier W, Dietrich D, Kimmig R, Schoemig-Markiefka B, Kast K, Braicu E, Baumann K, Jackisch C, Park-Simon TW, Ernst C, Hanker L, Pfisterer J, Schnelzer A, du Bois A, Schmutzler RK, and Harter P
- Subjects
- BRCA1 Protein, BRCA2 Protein, Biomarkers, Tumor, Computational Biology methods, DNA Copy Number Variations, DNA Methylation, Female, Genetic Testing, Germ-Line Mutation, High-Throughput Nucleotide Sequencing, Humans, Ovarian Neoplasms diagnosis, Ovarian Neoplasms epidemiology, Prevalence, Promoter Regions, Genetic, Genetic Association Studies methods, Genetic Predisposition to Disease, Ovarian Neoplasms genetics, Sequence Deletion
- Abstract
Background: For individuals with ovarian cancer (OC), therapy options mainly depend on BRCA1/2 germline status. What is the prevalence of deleterious somatic variants, that is, does genetic tumour testing identify subgroups of individuals who also might benefit from targeted therapy?, Methods: Paired analysis of tumour-derived versus blood-derived DNA to determine the prevalence of deleterious somatic variants in OC predisposition genes ( ATM , BRCA1/2, BRIP1 , MSH2/6 , PALB2 , RAD51C/D and TP53 ) and the PIK3CA and PTEN genes in individuals with OC (AGO-TR1 study, NCT02222883). Results were complemented by BRCA1 , PALB2 and RAD51C promoter methylation analyses and stratified by histological subtype; 473 individuals were included., Results: The combined analyses revealed that deleterious germline variants in established OC predisposition genes (all: 125/473, 26.4%; BRCA1/2 : 97/473, 20.5%), deleterious somatic variants in established OC predisposition genes excluding TP53 (all: 39/473, 8.2%; BRCA1/2 : 30/473, 6.3%) and promoter methylation (all: 67/473, 14.2%; BRCA1 : 57/473, 12.1%; RAD51C : 10/473, 2.1%; PALB2 : 0/473) were mutually exclusive, with a few exceptions. The same holds true for deleterious somatic PIK3CA and/or PTEN variants (33/473, 7.0%) found to be enriched in endometrioid and clear cell OC (16/35, 45.7%); 84.3 % of the deleterious single-nucleotide/indel germline variants in established OC predisposition genes showed significantly higher variant fractions (VFs) in the tumour-derived versus blood-derived DNA, indicating a loss of the wild-type alleles., Conclusion: Tumour sequencing of the BRCA1, BRCA2, PIK3CA and PTEN genes along with BRCA1 and RAD51C promoter methylation analyses identified large subgroups of germline mutation-negative individuals who may be addressed in interventional studies using PARP or PI3K/AKT/mTOR inhibitors., Trial Registration Number: NCT02222883., Competing Interests: Competing interests: EH: honoraria: AstraZeneca; consulting or advisory role: AstraZeneca; research funding: Astra Zeneca (Inst). SS: honoraria: Roche; consulting or advisory role: Tesaro. KK: honoraria: Roche, Pfizer and AstraZeneca. JP: honoraria: Roche Pharma AG; consulting or advisory role: Amgen, AstraZeneca, Coherus Bioscience, DeciBio, F. Hoffmann-La Roche, Pharmamar, Shield Therapeutics, Simon Kucher & Partner, Taylor Wessing LLP and Tesaro; research funding: Astra Zeneca, Hoffmann-La Roche and Tesaro; travel, accommodations and expenses: Amgen, Astra Zeneca, F. Hoffmann-La Roche and Tesaro. AS: honoraria: TEVA and Gedeon Richter; consulting or advisory role: Astra Zeneca and Roche. SK: honoraria: AstraZeneca and Roche; consulting or advisory role: Roche. KP: travel and research funding: Medac Oncology; honoraria: AstraZeneca and Roche. DD is a consultant for AJ Innuscreen GmbH (Berlin, Germany), a 100% daughter company of Analytik Jena AG (Jena, Germany) and receives royalties from product sales (innuCONVERT kits). AdB: consulting or advisory role: AstraZeneca, Pfizer, Pharmamar, Roche/Genentech, Advaxis, Tesaro, Genmab, Clovis and Biocad. RKS: honoraria: AstraZeneca; consulting or advisory role: AstraZeneca; research funding: AstraZeneca (Inst); patents, royalties, other intellectual property: University of Cologne. CK: consulting and advisory role: AstraZeneca and Roche/Genentech. PH: consulting or advisory role: AstraZeneca, Roche/Genentech, Tesaro, Clovis, Pharmamar Lilly and Sotio; research funding: AstraZeneca (Inst); travel, accommodations and expenses: Medac., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2019
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47. EZH2 Is Overexpressed in BRCA1 -like Breast Tumors and Predictive for Sensitivity to High-Dose Platinum-Based Chemotherapy.
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Puppe J, Opdam M, Schouten PC, Jóźwiak K, Lips E, Severson T, van de Ven M, Brambillasca C, Bouwman P, van Tellingen O, Bernards R, Wesseling J, Eichler C, Thangarajah F, Malter W, Pandey GK, Ozretić L, Caldas C, van Lohuizen M, Hauptmann M, Rhiem K, Hahnen E, Reinhardt HC, Büttner R, Mallmann P, Schömig-Markiefka B, Schmutzler R, Linn S, and Jonkers J
- Subjects
- Animals, Antineoplastic Agents therapeutic use, BRCA1 Protein metabolism, BRCA2 Protein genetics, BRCA2 Protein metabolism, Biomarkers, Tumor genetics, Breast Neoplasms genetics, Breast Neoplasms metabolism, Breast Neoplasms pathology, Enhancer of Zeste Homolog 2 Protein genetics, Female, Humans, Mammary Neoplasms, Animal genetics, Mammary Neoplasms, Animal metabolism, Mammary Neoplasms, Animal pathology, Mice, Mice, Knockout, Survival Rate, Treatment Outcome, BRCA1 Protein genetics, Biomarkers, Tumor metabolism, Breast Neoplasms drug therapy, Enhancer of Zeste Homolog 2 Protein metabolism, Mammary Neoplasms, Animal drug therapy, Platinum therapeutic use
- Abstract
Purpose: BRCA1-deficient breast cancers carry a specific DNA copy-number signature (" BRCA1-like ") and are hypersensitive to DNA double-strand break (DSB) inducing compounds. Here, we explored whether (i) EZH2 is overexpressed in human BRCA1 -deficient breast tumors and might predict sensitivity to DSB-inducing drugs; (ii) EZH2 inhibition potentiates cisplatin efficacy in Brca1 -deficient murine mammary tumors., Experimental Design: EZH2 expression was analyzed in 497 breast cancers using IHC or RNA sequencing. We classified 370 tumors by copy-number profiles as BRCA1 -like or non- BRCA1 -like and examined its association with EZH2 expression. Additionally, we assessed BRCA1 loss through mutation or promoter methylation status and investigated the predictive value of EZH2 expression in a study population of breast cancer patients treated with adjuvant high-dose platinum-based chemotherapy compared with standard anthracycline-based chemotherapy. To explore whether EZH2 inhibition by GSK126 enhances sensitivity to platinum drugs in EZH2-overexpressing breast cancers we used a Brca1 -deficient mouse model., Results: The highest EZH2 expression was found in BRCA1-associated tumors harboring a BRCA1 mutation, BRCA1 -promoter methylation or were classified as BRCA1 like. We observed a greater benefit from high-dose platinum-based chemotherapy in BRCA1 -like and non- BRCA1 -like patients with high EZH2 expression. Combined treatment with the EZH2 inhibitor GSK126 and cisplatin decreased cell proliferation and improved survival in Brca1 -deficient mice in comparison with single agents., Conclusions: Our findings demonstrate that EZH2 is expressed at significantly higher levels in BRCA1 -deficient breast cancers. EZH2 overexpression can identify patients with breast cancer who benefit significantly from intensified DSB-inducing platinum-based chemotherapy independent of BRCA1 -like status. EZH2 inhibition improves the antitumor effect of platinum drugs in Brca1 -deficient breast tumors in vivo ., (©2019 American Association for Cancer Research.)
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- 2019
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48. Phospholipidation of nuclear proteins by the human papillomavirus E6 oncoprotein: implication in carcinogenesis.
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Marx B, Hufbauer M, Zigrino P, Majewski S, Markiefka B, Sachsenheimer T, Brügger B, and Akgül B
- Abstract
Phospholipids regulate numerous cellular functions and their deregulation is known to be associated with cancer development. Here, we show for the first time that expression of the E6 oncoprotein of human papillomavirus type 8 (HPV8) leads to a profound increase in nuclear phosphatidylinositol-4,5-bisphosphate (PI(4,5)P
2 ) lipid levels in monolayer cultures, that led to an aberrant phospholipidation of cellular proteins. Elevated PI(4,5)P2 levels in organotypic skin cultures, skin tumors of K14-HPV8-E6 transgenic mice as well as HPV8 positive skin carcinomas highly suggest a decisive role of PI(4,5)P2 in HPV associated squamous-cell-carcinoma development. Furthermore, mass-spectrometric analysis confirmed an increase of PI(4,5)P2 , which was characterized by a shift in the distribution of lipid species. PI(4,5)P2 upregulation was independent of E6 interference with MAML1. However, E6 does interfere with the PI(4,5)P2 metabolic pathway by upregulation of phosphatidylinositol-4-phosphate-5-kinase type I and phosphatidylinositol-5-phosphate 4-kinase type II as well as the binding to 5'-phosphatase OCRL and phosphatidylinositol. All of these mechanisms combined may contribute to PI(4,5)P2 elevation in E6 positive cells. The identification of CAND1 and SND1 - two proteins known to be involved in carcinogenic processes - were significantly stronger phospholipidized in the presence of E6. In conclusion we provide evidence that the modulation of the PI(4,5)P2 metabolism is a novel oncogenic mechanism relevant for HPV-induced carcinogenesis., Competing Interests: CONFLICTS OF INTEREST The authors declare no competing financial interests.- Published
- 2018
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49. Non-small cell neuroendocrine carcinoma of the ovary in a BRCA2 -germline mutation carrier: A case report and brief review of the literature.
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Herold N, Wappenschmidt B, Markiefka B, Keupp K, Kröber S, Hahnen E, Schmutzler R, and Rhiem K
- Abstract
Non-small cell neuroendocrine carcinomas (NSCNEC) account for 2% of gynecological cancer cases and are associated with a poor prognosis due to delayed diagnosis and aggressive tumor behavior. BRCA2 -associated ovarian carcinomas predominantly possess a high-grade serous phenotype, which respond to platinum and targeted therapy with PARP inhibitors. Presented here is the case of an adult patient with NSCNEC of the ovaries associated with a deleterious BRCA2 germline mutation. The pathogenic mutation was also confirmed on the somatic level, while the wild-type allele had a high variant fraction, suggesting loss of heterozygosity. To the best of our knowledge, this is the first report of an adult BRCA2 germline mutation carrier with the rare NSCNEC of the ovary phenotype. Therefore, ovarian cancer patients with histological subtypes other than high-grade serous carcinomas should be tested for BRCA1/2 mutations, as they may benefit from targeted therapy with poly (ADP-ribose) polymerase inhibitors.
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- 2018
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50. A Retrospective Analysis of Ki-67 Index and its Prognostic Significance in Over 800 Primary Breast Cancer Cases.
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Thangarajah F, Enninga I, Malter W, Hamacher S, Markiefka B, Richters L, Krämer S, Mallmann P, and Kirn V
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- Breast Neoplasms metabolism, Breast Neoplasms therapy, Combined Modality Therapy, Female, Humans, Immunoenzyme Techniques, Lymphatic Metastasis, Middle Aged, Neoplasm Grading, Neoplasm Invasiveness, Neoplasm Recurrence, Local metabolism, Neoplasm Recurrence, Local therapy, Neoplasm Staging, Prognosis, Receptor, ErbB-2 metabolism, Receptors, Estrogen metabolism, Receptors, Progesterone metabolism, Retrospective Studies, Survival Rate, Biomarkers, Tumor metabolism, Breast Neoplasms pathology, Ki-67 Antigen metabolism, Neoplasm Recurrence, Local pathology
- Abstract
Background/aim: The Ki-67 index is chiefly important for distinguishing between luminal A and luminal B human epidermal growth factor receptor 2 (HER2neu)-negative breast cancer subtypes. However, its ability to predict response to chemotherapy is uncertain., Patients and Methods: Patients treated for primary breast cancer at the University Hospital of Cologne were identified. Immunohistochemistry for Ki-67 detection was performed according to standard protocols. Kaplan-Meier survival curves were calculated and compared using the log-rank test., Results: Patients with low Ki-67 index had a significantly better disease-free-survival (DFS) than patients with high Ki-67 index (hazard ratio=2.85; 95% confidence interval=1.45-5.59; p=0.002). A significant influence on DFS was demonstrated (hazard ratio(HR)=1.02; confidence interval(CI)=1.00-1.04; p=0.048) within the subgroup of hormone receptor-positive and HER2neu-negative patients, but not within the subgroup of those with luminal B/HER2neu-negative tumors (DFS: p=0.801; overall-survival: p=0.379)., Conclusion: The Ki-67 index has a prognostic impact on DFS in patients with hormone receptor-positive and HER2neu-negative tumors. The strict cut-off value was not suitable for distinguishing between high- and low-risk patients and their response to adjuvant chemotherapy., (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
- Published
- 2017
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