74 results on '"Anno, S."'
Search Results
2. OP0181 WHICH MODE OF ACTION IS BEST FOR DIFFICULT-TO-TREAT RHEUMATOID ARTHRITIS WHEN SWITCHING BIOLOGICS OR JAK INHIBITORS?
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Tachibana, T., primary, Yamada, Y., additional, Mamoto, K., additional, Okano, T., additional, Kojima, T., additional, Anno, S., additional, Orita, K., additional, Iida, T., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2024
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3. AB0567 PREVALENCE OF CONCOMITANT SARCOPENIA AND FRAILTY IN PATIENTS WITH RHEUMATOID ARTHRITIS IN A MULTICENTER, PROSPECTIVE, OBSERVATIONAL STUDY (PRESENT STUDY)
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Tada, M., primary, Matsumoto, Y., additional, Koike, T., additional, Mamoto, K., additional, Nakamura, T., additional, Anno, S., additional, Iida, T., additional, Goto, H., additional, and Hidaka, N., additional
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- 2024
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4. AB1405 POSTOPERATIVE RESULTS OF JOINT-PRESERVING SURGERY WITH MITCHELL’S OSTEOTOMY FOR HALLUX VALGUS DEFORMITY IN PATIENTS WITH RHEUMATOID ARTHRITIS
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Yoshimura, C., primary, Okano, T., additional, Anno, S., additional, Yamada, Y., additional, Orita, K., additional, Mamoto, K., additional, Sugioka, Y., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2023
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5. AB0422 THE EFFECTS OF CONCOMITANT USE OF METHOTREXATE IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH SARILUMAB
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Anno, S., primary, Okano, T., additional, Mandai, K., additional, Orita, K., additional, Yamada, Y., additional, Mamoto, K., additional, Iida, T., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2023
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6. POS0840 THE DIFFERENCE IN CREATINE KINASE ELEVATION CAUSED BY JAK INHIBITORS AND IL-6 INHIBITORS IN RHEUMATOID ARTHRITIS
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Tada, M., primary, Okano, T., additional, Mamoto, K., additional, Yamada, Y., additional, Orita, K., additional, Mandai, K., additional, Anno, S., additional, Iida, T., additional, Inui, K., additional, and Koike, T., additional
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- 2023
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7. POS0822 DOES CONCOMITANT/NON-CONCOMITANT USE OF MTX WITH BIOLOGICS AND JAK INHIBITORS AFFECT ULTRASOUND FINDING OF INTRA-ARTICULAR SYNOVITIS?
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Okano, T., primary, Mamoto, K., additional, Yamada, Y., additional, Anno, S., additional, Domae, Y., additional, Yagami, A., additional, Washida, S., additional, Yoshida, Y., additional, Koike, T., additional, and Nakamura, H., additional
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- 2023
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8. POS1146 ROMOSOZUMAB INCREASE BONE MINERAL DENSITY AT LUMBAR AND FEMORAL IRRESPECTIVE OF PREOSTEOPOROSIS TREATMENT, HISTORY OF FRAGILITY FRACTURE AND COMBINATION OF VITAMIN D
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Anno, S., primary, Iida, T., additional, Yamada, Y., additional, Okano, T., additional, Sugioka, Y., additional, Inui, K., additional, Wakitani, S., additional, and Nakamura, H., additional
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- 2022
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9. POS0290 THE EFFECTS OF TREATMENT RESPONSE AND RISK FACTOR TO INHIBIT THE CLINICAL RESPONSE IN PATIENTS WITH DIFFICULT-TO-TREAT RHEUMATOID ARTHRITIS TREATED WITH IL-6 RECEPTOR INHIBITOR, ABATACEPT AND JAK INHIBITOR
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Anno, S., primary, Okano, T., additional, Mandai, K., additional, Orita, K., additional, Yamada, Y., additional, Mamoto, K., additional, Iida, T., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2022
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10. POS0681 DRUG RETENTION RATE AND EFFECTIVENESS OF JAK INHIBITOR IN PATIENTS WITH DIFFICULT-TO-TREAT RHEUMATOID ARTHRITIS
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Anno, S., primary, Okano, T., additional, Mandai, K., additional, Orita, K., additional, Yamada, Y., additional, Mamoto, K., additional, Iida, T., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2022
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11. AB0387 THE RELATIONSHIP BETWEEN JAK INHIBITORS AND CREATINE KINASE ELEVATION IN PATIENTS WITH RHEUMATOID ARTHRITIS: A REAL-WORLD CLINICAL STUDY
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Tada, M., primary, Okano, T., additional, Mamoto, K., additional, Yamada, Y., additional, Orita, K., additional, Mandai, K., additional, Anno, S., additional, Iida, T., additional, Inui, K., additional, and Koike, T., additional
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- 2022
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12. AB0405 JAK INHIBITORS IMPROVE PATIENT-REPORTED OUTCOMES SUCH AS PAIN AND HAQ EARLIER THAN ANTI-IL-6 INHIBITORS
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Okano, T., primary, Koike, T., additional, Inui, K., additional, Tada, M., additional, Mamoto, K., additional, Yamada, Y., additional, Orita, K., additional, Mandai, K., additional, Anno, S., additional, Iida, T., additional, and Nakamura, H., additional
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- 2022
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13. AB0188 ULTRASONOGRAPHIC RESIDUAL INTRA-ARTICULAR SYNOVITIS IS MORE SEVERE IN RHEUMATOID ARTHRITIS PATIENTS TREATED WITH PREDNISOLONE
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Okano, T., primary, Mamoto, K., additional, Yamada, Y., additional, Mandai, K., additional, Anno, S., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2022
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14. AB0115 COMPARISON OF ULTRASOUND FINDINGS BETWEEN TNF INHIBITORS AND NON-TNF INHIBITORS AT FIRST BIOLOGICS IN PATIENTS WITH RHEUMATOID ARTHRITIS
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Okano, T., primary, Koike, T., additional, Inui, K., additional, Mamoto, K., additional, Yamada, Y., additional, Mandai, K., additional, Anno, S., additional, and Nakamura, H., additional
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- 2021
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15. FRI0051 RHEUMATOID ARTHRITIS PATIENTS WITH HIGH DISEASE ACTIVITY AND TREATED WITH HIGH DOSE GLUCOCORTICOID FREQUENTLY FALL: NINE YEARS OF THE TOMORROW STUDY
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Anno, S., primary, Sugioka, Y., additional, Mamoto, K., additional, Okano, T., additional, Tada, M., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2020
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16. AB0235 DENOSUMAB INCREASE THE BONE MINERAL DENSITY REGARDLESS OF DISEASE ACTIVITY, THE BIOLOGICAL DISEASE-MODIFYING ANTIRHEUMATIC DRUGS, THE CONCOMITANT TYPE OF VITAMIN D, AND PRETREATMENT OF OSTEOPOROSIS IN PATIENTS WITH RHEUMATOID ARTHRITIS.
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Anno, S., primary, Okano, T., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2020
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17. AB0215 EARLY IMPROVEMENT OF THE POWER DOPPLER SIGNAL CAN PREDICT TO CONTINUE THE BIOLOGICAL DMARDS AFTER 1 YEAR.
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Okano, T., primary, Mamoto, K., additional, Yamada, Y., additional, Mandai, K., additional, Anno, S., additional, Inui, K., additional, Koike, T., additional, and Nakamura, H., additional
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- 2020
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18. MC1R variants in childhood and adolescent melanoma: a retrospective pooled analysis of a multicentre cohort
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Pellegrini, C. Botta, F. Massi, D. Martorelli, C. Facchetti, F. Gandini, S. Maisonneuve, P. Avril, M.-F. Demenais, F. Bressac-de Paillerets, B. Hoiom, V. Cust, A.E. Anton-Culver, H. Gruber, S.B. Gallagher, R.P. Marrett, L. Zanetti, R. Dwyer, T. Thomas, N.E. Begg, C.B. Berwick, M. Puig, S. Potrony, M. Nagore, E. Ghiorzo, P. Menin, C. Manganoni, A.M. Rodolfo, M. Brugnara, S. Passoni, E. Sekulovic, L.K. Baldini, F. Guida, G. Stratigos, A. Ozdemir, F. Ayala, F. Fernandez-de-Misa, R. Quaglino, P. Ribas, G. Romanini, A. Migliano, E. Stanganelli, I. Kanetsky, P.A. Pizzichetta, M.A. García-Borrón, J.C. Nan, H. Landi, M.T. Little, J. Newton-Bishop, J. Sera, F. Fargnoli, M.C. Raimondi, S. Alaibac, M. Ferrari, A. Valeri, B. Sicher, M. Mangiola, D. Nazzaro, G. Tosti, G. Mazzarol, G. Giudice, G. Ribero, S. Astrua, C. Mazzoni, L. Orlow, I. Mujumdar, U. Hummer, A. Busam, K. Roy, P. Canchola, R. Clas, B. Cotignola, J. Monroe, Y. Armstrong, B. Kricker, A. Litchfield, M. Tucker, P. Stephens, N. Switzer, T. Theis, B. From, L. Chowdhury, N. Vanasse, L. Purdue, M. Northrup, D. Rosso, S. Sacerdote, C. Leighton, N. Gildea, M. Bonner, J. Jeter, J. Klotz, J. Wilcox, H. Weiss, H. Millikan, R. Mattingly, D. Player, J. Tse, C.-K. Rebbeck, T. Walker, A. Panossian, S. Setlow, R. Mohrenweiser, H. Autier, P. Han, J. Caini, S. Hofman, A. Kayser, M. Liu, F. Nijsten, T. Uitterlinden, A.G. Kumar, R. Bishop, T. Elliott, F. Lazovich, D. Polsky, D. Hansson, J. Pastorino, L. Gruis, N.A. Bouwes Bavinck, J.N. Aguilera, P. Badenas, C. Carrera, C. Gimenez-Xavier, P. Malvehy, J. Puig-Butille, J.A. Tell-Marti, G. Blizzard, L. Cochrane, J. Branicki, W. Debniak, T. Morling, N. Johansen, P. Mayne, S. Bale, A. Cartmel, B. Ferrucci, L. Pfeiffer, R. Palmieri, G. Kypreou, K. Bowcock, A. Cornelius, L. Council, M.L. Motokawa, T. Anno, S. Helsing, P. Andresen, P.A. Guida, S. Wong, T.H. IMI Study Group GEM Study Group M-SKIP Study Group
- Abstract
Background: Germline variants in the melanocortin 1 receptor gene (MC1R) might increase the risk of childhood and adolescent melanoma, but a clear conclusion is challenging because of the low number of studies and cases. We assessed the association of MC1R variants with childhood and adolescent melanoma in a large study comparing the prevalence of MC1R variants in child or adolescent patients with melanoma to that in adult patients with melanoma and in healthy adult controls. Methods: In this retrospective pooled analysis, we used the M-SKIP Project, the Italian Melanoma Intergroup, and other European groups (with participants from Australia, Canada, France, Greece, Italy, the Netherlands, Serbia, Spain, Sweden, Turkey, and the USA) to assemble an international multicentre cohort. We gathered phenotypic and genetic data from children or adolescents diagnosed with sporadic single-primary cutaneous melanoma at age 20 years or younger, adult patients with sporadic single-primary cutaneous melanoma diagnosed at age 35 years or older, and healthy adult individuals as controls. We calculated odds ratios (ORs) for childhood and adolescent melanoma associated with MC1R variants by multivariable logistic regression. Subgroup analysis was done for children aged 18 or younger and 14 years or younger. Findings: We analysed data from 233 young patients, 932 adult patients, and 932 healthy adult controls. Children and adolescents had higher odds of carrying MC1R r variants than did adult patients (OR 1·54, 95% CI 1·02–2·33), including when analysis was restricted to patients aged 18 years or younger (1·80, 1·06–3·07). All investigated variants, except Arg160Trp, tended, to varying degrees, to have higher frequencies in young patients than in adult patients, with significantly higher frequencies found for Val60Leu (OR 1·60, 95% CI 1·05–2·44; p=0·04) and Asp294His (2·15, 1·05–4·40; p=0·04). Compared with those of healthy controls, young patients with melanoma had significantly higher frequencies of any MC1R variants. Interpretation: Our pooled analysis of MC1R genetic data of young patients with melanoma showed that MC1R r variants were more prevalent in childhood and adolescent melanoma than in adult melanoma, especially in patients aged 18 years or younger. Our findings support the role of MC1R in childhood and adolescent melanoma susceptibility, with a potential clinical relevance for developing early melanoma detection and preventive strategies. Funding: SPD-Pilot/Project-Award-2015; AIRC-MFAG-11831. © 2019 Elsevier Ltd
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- 2019
19. Abstract
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Mache, Ch., Urban, Ch., Sauer, H., Brandesky, G., Meßner, H., Grienberger, H., Becker, H., Slave, I., Hauer, Ch., Pakisch, B., Oberbauer, R., Mokry, M., Ebner, F., Kleinert, R., Schiller, D., Kasparu, H., Schneider, G., Sega, W., Lutz, D., Mader, R. M., Steger, G. G., Sieder, A. E., Ovissi, L., Roth, E., Hamilton, G., Jakesz, R., Rainer, H., Schenk, T., Kornek, G., Schulz, F., Depisch, D., Rosen, H., Sebesta, Ch., Scheithauer, W., Locker, G. J., Czernin, J., Derfler, K., Gnant, M., Schiessel, R., Petru, E., Pickel, H., Heydarfadai, M., Lahousen, M., Haas, J., Sagaster, P., Flamm, J., Umek, H., Essl, R., Teich, G., Micksche, M., Ludwig, H., Ambros, P. F., Lestou, V., Strehl, S., Mann, G., Gadner, H., Eibl, B., Greiter, E., Grünewald, K., Gastl, G., Thaler, J., Aulitzky, W., Lion, T., Henn, T., Gaiger, A., Hofmann, J., Wolf, A., Spitaler, M., Ludescher, Christof, Grunicke, H., Mitterbauer, G., Stangl, E., Geissler, K., Jäger, U., Lechner, K., Mannhalter, C., Haas, Oskar A., Tirita, Anthi, Kahls, P., Haas, O., Hinterberger, W., Linkesch, W., Pober, Michael, Fae, Ingrid, Kyrle, Alexander, Neumeister, Andrea, Panzer, Simon, Kandioler, D., End, A., Grill, R., Karlic, H., Inhauser, T., Chott, A., Pirc-Danoewinata, H., Klepetko, W., Heinz, R., Hopfinger-Limberger, G., Koller, E., Schneider, B., Pittermann, E., Lorber, C., Eichinger, S., Neumann, E., Weidinger, J., Gisslinger, H., Bedford P., Jones D., Cawley J., Catovsky D., Bevan P., Scherrer, R., Bettelheim, P., Knöbl, P., Kyrie, P. A., Lazcika, K., Schwarzinger, I., Sillaber, C., Watzke, H., Dávid, M., Losonczy, H., Matolcsy, A., Papp, M., Prischl, F. C., Schwarzmeier, J. D., Zoubek, Andreas, Harbott, Jochen, Ritterbach, Jutta, Ritter, Jörg, Sillaber, Ch., Agis, H., Spanblöchl, E., Sperr, W. R., Valent, P., Czerwenka, K., Virgolini, I., Li, S. R., Müller, M., Wrann, M., Gaggl, S., Fasching, B., Herold, M., Geissler, D., Nachbaur, D., Huber, Ch., Schwaighofer, H., Pichl, M., Niederwieser, D., Gilly, B., Weissel, H., Lorber, Ch., Schwarzmeier, J., Gasché, C., Reinisch, W., Hilgarth, M., Keil, F., Thomssen, C., Kolb, H. J., Holler, E., Wilmanns, W., Tilg, H., Gächter, A., Panzer-Grümayer, E. R., Majdic, O., Kersey, J. H., Petzer, A. L., Bilgeri, R., Zilian, U., Geisen, F. H., Haun, M., Konwalinka, G., Fuchs, D., Zangerle, R., Artner-Dworzak, E., Weiss, G., Fritsch, P., Tilz, G. P., Dierich, M. P., Wachter, H., Schüller, J., Czejka, M. J., Jäger, W., Meyer, B., Weiss, C., Schernthaner, G., Marosi, Ch., Onderka, E., Schlögl, B., Maca, T., Hanak, R., Mannhalter, Ch., Brenner, B., Mayer, R., Langmann, A., Langmann, G., Slave, J., Poier, E., Stücklschweiger, G., Hackl, A., Fritz, A., Pabinger, I., Willfort, A., Groiss, E., Bernhart, M., Waldner, R., Krieger, O., Nowotny, H., Strobl, H., Michlmayr, G., Mistrik, M., lstvan, L., Kapiotis, S., Laczika, K., Speiser, W., Granena, A., Hermans, J., Zwaan, F., Gratwohl, A., Labar B., Mrsić M., Nemet D., Bogdanić V., Radman I., Zupančić-Šalek Silva, Kovačević-Metelko Jasna, Aurer I., Forstinger, C., Scholten, C., Kier, P., Kalhs, P., Schwinger, W., Slavc, I., Lackner, H., Nussbaumer, W., Fritsch, E., Fink, M., Zechner, O., Kührer, I., Kletter, V., Frey, S., Leitgeb, C., Fritz, E., Silly, H., Brezinschek, R., Kuss, I., Stöger, H., Schmid, M., Samonigg, H., Wilders-Truschnig, M., Schmidt, F., Bauernhofer, T., Kasparek, A. K., Ploner, F., Stoeger, H., Moser, R., Leikauf, W., Klemm, F., Pfeffel, F., Niessner, H., Poschauko, H., Pojer, E., Locker, G. J., Braun, J., Gnant, M. F. X., Michl, I., Pirker, R., Liebhard, A., Zielinski, C., Dittrich, C., Bernát, S. I., Pongrácz, E., Kastner, J., Raderer, M., Jorbenyi, Z., Yilmaz, A., Suardet, L., Lahm, H., Odartchenko, N., Varga, Gy., Sréter, L. A., Oberberg, D., Berdel, W. E., Budiman, R., Brand, C., Berkessy, S., Radványi, G., Pauker, Zs., Nagy, Zs., Karádi, Å., Serti, S., Hainz, R., Kirchweger, P., Prager, C., Prada, J., Neifer, S., Bienzle, U., Kremsner, P., Kämmerer, B., Vetterlein, M., Pohl, W., Letnansky, K., Imre, S. G., Parkas, T., Lakos, Zs., Kiss, A., Telek, B., Felszeghy, E., Kelemen, E., Rak, K., Pfeilstöcker, M., Reisner, R., Salamon, J., Georgopoulos, A., Feistauer, S., Georgopoulos, M., Graninger, W., Klinda, F., Hrubisko, M., Sakalova, A., Weißmann, A., Röhle, R., Fortelny, R., Gutierrez, F., Fritsch, G., Printz, D., Buchinger, P., Buchinger, P., Hoecker, P., Peters, C., Gebauer, E., Katanić, D., Nagy, Á., Szomor, Á., Med. J., Batinić D., Užaervić B., Marušić M., Kovačoević-Metelko Jasminka, Jakić-Razumović Jasminka, Kovačević-Metelko Jasminka, Zuoancić-Šalek Silva, Ihra, G. C., Reinisch, W. W., Hilgarth, M. F., Schwarzmeier, I. D., Várady, E., Molnár, Z. S., Fleischmann, T., Borbényi, Z., Bérczi, M., István, L., Szerafin, L., Jakó, J., Bányai, A., Dankó, K., Szegedi, Gy., Neubauer, M., Frudinger, A., Scholten, Ch., Forstinger, Ch., Dobrić I., Willheim, M., Szépfalusi, Z., Mader, R., Boltz, G., Schwarzmeier, J. D., Nahajevszky, S., Téri, N., Póth, I., Nagy, P., Smanykó, D., Babicz, T., Ujj, Gy., Iványi, J. L., Tóth, F. D., Kiss, J., Konja, J., Petković, I., Kardum, I., Kaštelan, M., Kelečić, J., Feminić, R., Djermanović, M., Bilić, E., Jakovljević, G., Peter, B., Gredelj, G., Senji, P., Thalhammer, F., Floth, A., Etele-Hainz, A., Kainberger, F., Radaszkiewicz, T., Kierner, H., Mód, Anna, Pitlik, E., Gottesman, M., Magócsi, Mária, Sarkadi, B., Knapp, S., Purtscher, B., DelleKarth, G., Jaeger, U., Krieger, O., Berger, W., Elbling, L., Ludescher, C., Hilbe, W., Eisterer, W., Preuß, E., Izraeli, S., Janssen, J. W. G., Walther, J. U., Kovar, H., Ludwig, W. D., Rechavi, G., Bartram, C. R., Rehberger, A., Mittermayer, F., Schauer, E., Kokoschka, E. M., Kammerer, B., Kokron, E., Desser, L., Abdul-Hamid, G., Kroschinksky, F., Luther, Th., Fischer, H., Nowak, R., Wolf, H., Fleischer, J., Wichmann, G., Albercht, S., Adorf, D., Kaboth, W., Nerl, C., Aman, J., Rudolf, G., Peschel, C., Anders, O., Burstein, Ch., Ernst, B., Steiner, H., Konrad, H., Annaloro, U. P., Mozzana, C., Butti, R., Della, C., Volpe A., Soligo D., Uderzo M., Lambertenghi-Deliliers G., Ansari, H., Dickson, D., Hasford, J., Hehlmann, R., Anyanwu, E., Krysa, S., Bülzebrück, H., Vogt-Moykopf, I., Arning, M., Südhoff, Th., Kliche, K. O., Wehmeier, A., Schneider, W., Arnold, R., Bunjes, D., Hertenstein, B., Hueske, D., Stefanic, M., Theobald, M., Wiesneth, M., Heimpel, H., Waldmann, H., Arseniev, L., Bokemeyer, C., Andres, J., Könneke, A., Papageorgiou, E., Kleine, H. -D., Battmer, K., Südmeyer, I., Zaki, M., Schmoll, H. -J., Stangel, W., Poliwoda, H., Link, H., Aul, C., Runde, V., Heyll, A., Germing, U., Gattermann, N., Ebert, A., Feinendegen, L. E., Huhn, D., Bergmann, L., Dönner, H., Hartlapp, J. H., Kreiter, H., Schuhmacher, K., Schalk T., Sparwasser C., Peschel U., Fraaß C. Huber, HIadik, F., Kolbe, K., Irschick, E., Bajko, G., Wozny, T., Hansz, J., Bares, R., Buell, U., Baumann, I., Harms, H., Kuse, R., Wilms, K., Müller-Hermelink, H. K., Baurmann, H., Cherif, D., Berger, R., Becker, K., Zeller, W., Helmchen, U., Hossfeld, D. K., Bentrup, I., Plusczyk, T., Kemkes-Matthes, B., Matthes, K., Bentz, M., Speicher, M., Schröder, M., Moos, M., Döhner, H., Lichter, P., Stilgenbauer, S., Korfel, A., Harnoss, B. -M., Boese-Landgraf, J., May, E., Kreuser, E. -D., Thiel, E., Karacas, T., Jahn, B., Lautenschläger, G., Szepes, S., Fenchel, K., Mitrou, P. 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- 1992
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20. THU0499 The effect of concomitant type of vitamin d, biological dmards and disease activity for therapeutic effect of denosumab in osteoporosis patients with rheumatoid arthritis
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Anno, S., primary, Inui, K., additional, Okano, T., additional, Mamoto, K., additional, Sugioka, Y., additional, Tada, M., additional, Koike, T., additional, and Nakamura, H., additional
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- 2018
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21. ANALYSIS OF ULTRASOUND FINDINGS IN PATIENTS WITH DIFFICULT TO TREAT RHEUMATOID ARTHRITIS.
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Okano, T., Mamoto, K., Yamada, Y., Anno, S., Yagami, A., Domae, Y., Washida, S., Yoshida, Y., Koike, T., and Nakamura, H.
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- 2023
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22. DOES CONCOMITANT/NON-CONCOMITANT USE OF MTX WITH BIOLOGICS AND JAK INHIBITORS AFFECT ULTRASOUND FINDING OF INTRA-ARTICULAR SYNOVITIS?
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Okano, T., Mamoto, K., Yamada, Y., Anno, S., Domae, Y., Yagami, A., Washida, S., Yoshida, Y., Koike, T., and Nakamura, H.
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- 2023
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23. Association of Melanocortin-1 Receptor Variants with Pigmentary Traits in Humans: A Pooled Analysis from the M-Skip Project
- Author
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Tagliabue, E. Gandini, S. García-Borrón, J.C. Maisonneuve, P. Newton-Bishop, J. Polsky, D. Lazovich, D. Kumar, R. Ghiorzo, P. Ferrucci, L. Gruis, N.A. Puig, S. Kanetsky, P.A. Motokawa, T. Ribas, G. Landi, M.T. Fargnoli, M.C. Wong, T.H. Stratigos, A. Helsing, P. Guida, G. Autier, P. Han, J. Little, J. Sera, F. Raimondi, S. Caini, S. Hofman, A. Kayser, M. Liu, F. Nijsten, T. Uitterlinden, A.G. Scherer, D. Bishop, T. Elliott, F. Nagore, E. Hansson, J. Hoiom, V. Pastorino, L. Bouwes Bavinck, J.N. Aguilera, P. Badenas, C. Carrera, C. Gimenez-Xavier, P. Malvehy, J. Potrony, M. Puig-Butille, J.A. Tell-Marti, G. Dwyer, T. Blizzard, L. Cochrane, J. Fernandez-de-Misa, R. Branicki, W. Debniak, T. Morling, N. Johansen, P. Mayne, S. Bale, A. Cartmel, B. Pfeiffer, R. Palmieri, G. Menin, C. Kypreou, K. Bowcock, A. Cornelius, L. Council, M.L. Anno, S. Andresen, P.A. Guida, S.
- Published
- 2016
24. SAT0658 The stiffness of median nerve measured by elastosonography in patients with rheumatoid arthritis
- Author
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Anno, S, primary, Okano, T, additional, Sugioka, Y, additional, Mamoto, K, additional, Koike, T, additional, Inui, K, additional, and Nakamura, H, additional
- Published
- 2017
- Full Text
- View/download PDF
25. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: A pooled-analysis from the M-SKIP project
- Author
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Pasquali, E. García-Borrón, J.C. Fargnoli, M.C. Gandini, S. Maisonneuve, P. Bagnardi, V. Specchia, C. Liu, F. Kayser, M. Nijsten, T. Nagore, E. Kumar, R. Hansson, J. Kanetsky, P.A. Ghiorzo, P. Debniak, T. Branicki, W. Gruis, N.A. Han, J. Dwyer, T. Blizzard, L. Landi, M.T. Palmieri, G. Ribas, G. Stratigos, A. Council, M.L. Autier, P. Little, J. Newton-Bishop, J. Sera, F. Raimondi, S. Caini, S. Hofman, A. Uitterlinden, A.G. Scherer, D. Hoiom, V. Pastorino, L. Cochrane, J. Fernandez-De-Misa, R. Morling, N. Johansen, P. Pfeiffer, R. Kypreou, K. Bowcock, A. Cornelius, L. Motokawa, T. Anno, S. Helsing, P. Andresen, P.A. Wong, T.H. M-SKIP Study Group
- Abstract
The MC1R gene is a key regulator of skin pigmentation. We aimed to evaluate the association between MC1R variants and the risk of sporadic cutaneous melanoma (CM) within the M-SKIP project, an international pooled-analysis on MC1R, skin cancer and phenotypic characteristics. Data included 5,160 cases and 12,119 controls from 17 studies. We calculated a summary odds ratio (SOR) for the association of each of the nine most studied MC1R variants and of variants combined with CM by using random-effects models. Stratified analysis by phenotypic characteristics were also performed. Melanoma risk increased with presence of any of the main MC1R variants: the SOR for each variant ranged from 1.47 (95%CI: 1.17-1.84) for V60L to 2.74 (1.53-4.89) for D84E. Carriers of any MC1R variant had a 66% higher risk of developing melanoma compared with wildtype subjects (SOR; 95%CI: 1.66; 1.41-1.96) and the risk attributable to MC1R variants was 28%. When taking into account phenotypic characteristics, we found that MC1R-associated melanoma risk increased only for darker-pigmented Caucasians: SOR (95%CI) was 3.14 (2.06-4.80) for subjects with no freckles, no red hair and skin Type III/IV. Our study documents the important role of all the main MC1R variants in sporadic CM and suggests that they have a direct effect on melanoma risk, independently on the phenotypic characteristics of carriers. This is of particular importance for assessing preventive strategies, which may be directed to darker-pigmented Caucasians with MC1R variants as well as to lightly pigmented, fairskinned subjects. © 2014 UICC.
- Published
- 2015
26. SAT0135 Achieving Freedom from Glucocorticoids Might Decrease Risk of Clinical Fractures in Patients with Rheumatoid Arthritis: Five-Year Findings of The Tomorrow Study: Table 1.
- Author
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Anno, S., primary, Inui, K., additional, Mamoto, K., additional, Okano, T., additional, Sugioka, Y., additional, Tada, M., additional, Koike, T., additional, and Nakamura, H., additional
- Published
- 2016
- Full Text
- View/download PDF
27. SAT0136 Patients with Rheumatoid Arthritis and High Levels of Anti-Cyclic Citrullinated Peptide Antibody under Treatment with High-Dose Glucocorticoid Frequently Fall: Five-Year Findings of The Tomorrow Study: Table 1.
- Author
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Anno, S., primary, Inui, K., additional, Mamoto, K., additional, Okano, T., additional, Sugioka, Y., additional, Tada, M., additional, Koike, T., additional, and Nakamura, H., additional
- Published
- 2016
- Full Text
- View/download PDF
28. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: A pooled-analysis from the M-SKIP project
- Author
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Pasquali, E, García Borrón, J, Fargnoli, M, Gandini, S, Maisonneuve, P, Bagnardi, V, Specchia, C, Liu, F, Kayser, M, Nijsten, T, Nagore, E, Kumar, R, Hansson, J, Kanetsky, P, Ghiorzo, P, Debniak, T, Branicki, W, Gruis, N, Han, J, Dwyer, T, Blizzard, L, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Council, M, Autier, P, Little, J, Newton Bishop, J, Sera, F, Raimondi, S, Caini, S, Hofman, A, Uitterlinden, A, Scherer, D, Hoiom, V, Pastorino, L, Cochrane, J, Fernandez De Misa, R, Morling, N, Johansen, P, Pfeiffer, R, Kypreou, K, Bowcock, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Andresen, P, Wong, T, Wong, T., BAGNARDI, VINCENZO, Pasquali, E, García Borrón, J, Fargnoli, M, Gandini, S, Maisonneuve, P, Bagnardi, V, Specchia, C, Liu, F, Kayser, M, Nijsten, T, Nagore, E, Kumar, R, Hansson, J, Kanetsky, P, Ghiorzo, P, Debniak, T, Branicki, W, Gruis, N, Han, J, Dwyer, T, Blizzard, L, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Council, M, Autier, P, Little, J, Newton Bishop, J, Sera, F, Raimondi, S, Caini, S, Hofman, A, Uitterlinden, A, Scherer, D, Hoiom, V, Pastorino, L, Cochrane, J, Fernandez De Misa, R, Morling, N, Johansen, P, Pfeiffer, R, Kypreou, K, Bowcock, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Andresen, P, Wong, T, Wong, T., and BAGNARDI, VINCENZO
- Abstract
The MC1R gene is a key regulator of skin pigmentation. We aimed to evaluate the association between MC1R variants and the risk of sporadic cutaneous melanoma (CM) within the M-SKIP project, an international pooled-analysis on MC1R, skin cancer and phenotypic characteristics. Data included 5,160 cases and 12,119 controls from 17 studies. We calculated a summary odds ratio (SOR) for the association of each of the nine most studied MC1R variants and of variants combined with CM by using random-effects models. Stratified analysis by phenotypic characteristics were also performed. Melanoma risk increased with presence of any of the main MC1R variants: the SOR for each variant ranged from 1.47 (95%CI: 1.17-1.84) for V60L to 2.74 (1.53-4.89) for D84E. Carriers of any MC1R variant had a 66% higher risk of developing melanoma compared with wildtype subjects (SOR; 95%CI: 1.66; 1.41-1.96) and the risk attributable to MC1R variants was 28%. When taking into account phenotypic characteristics, we found that MC1R-associated melanoma risk increased only for darker-pigmented Caucasians: SOR (95%CI) was 3.14 (2.06-4.80) for subjects with no freckles, no red hair and skin Type III/IV. Our study documents the important role of all the main MC1R variants in sporadic CM and suggests that they have a direct effect on melanoma risk, independently on the phenotypic characteristics of carriers. This is of particular importance for assessing preventive strategies, which may be directed to darker-pigmented Caucasians with MC1R variants as well as to lightly pigmented, fairskinned subjects.
- Published
- 2015
29. POSTOPERATIVE RESULTS OF JOINT-PRESERVING SURGERY WITH MITCHELL'S OSTEOTOMY FOR HALLUX VALGUS DEFORMITY IN PATIENTS WITH RHEUMATOID ARTHRITIS.
- Author
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Yoshimura, C., Okano, T., Anno, S., Yamada, Y., Orita, K., Mamoto, K., Sugioka, Y., Tada, M., Inui, K., Koike, T., and Nakamura, H.
- Published
- 2023
- Full Text
- View/download PDF
30. THE EFFECTS OF CONCOMITANT USE OF METHOTREXATE IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH SARILUMAB.
- Author
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Anno, S., Okano, T., Mandai, K., Orita, K., Yamada, Y., Mamoto, K., Iida, T., Tada, M., Inui, K., Koike, T., and Nakamura, H.
- Published
- 2023
- Full Text
- View/download PDF
31. IMPACT OF ANTI-CITRULLINATED PROTEIN ANTIBODIES AND RHEUMATOID FACTOR ON BONE MINERAL DENSITY CHANGE IN RHEUMATOID ARTHRITIS PATIENTS TREATED WITH DENOSUMAB.
- Author
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Anno, S., Okano, T., Koike, T., and Nakamura, H.
- Published
- 2023
- Full Text
- View/download PDF
32. THE DIFFERENCE IN CREATINE KINASE ELEVATION CAUSED BY JAK INHIBITORS AND IL-6 INHIBITORS IN RHEUMATOID ARTHRITIS.
- Author
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Tada, M., Okano, T., Mamoto, K., Yamada, Y., Orita, K., Mandai, K., Anno, S., Iida, T., Inui, K., and Koike, T.
- Published
- 2023
- Full Text
- View/download PDF
33. Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: Study design and methods for pooling results of genetic epidemiological studies
- Author
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Raimondi, S. Gandini, S. Fargnoli, M.C. Bagnardi, V. Maisonneuve, P. Specchia, C. Kumar, R. Nagore, E. Han, J. Hansson, J. Kanetsky, P.A. Ghiorzo, P. Gruis, N.A. Dwyer, T. Blizzard, L. Fernandez-De-Misa, R. Branicki, W. Debniak, T. Morling, N. Landi, M.T. Palmieri, G. Ribas, G. Stratigos, A. Cornelius, L. Motokawa, T. Anno, S. Helsing, P. Wong, T.H. Autier, P. García-Borrón, J.C. Little, J. Newton-Bishop, J. Sera, F. Liu, F. Kayser, M. Nijsten, T.
- Abstract
Background: For complex diseases like cancer, pooled-analysis of individual data represents a powerful tool to investigate the joint contribution of genetic, phenotypic and environmental factors to the development of a disease. Pooled-analysis of epidemiological studies has many advantages over meta-analysis, and preliminary results may be obtained faster and with lower costs than with prospective consortia. Design and methods. Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies. We then present the statistical analysis plan that we are going to apply, giving particular attention to methods of analysis recently proposed to account for between-study heterogeneity and to explore the joint contribution of genetic, phenotypic and environmental factors in the development of a disease. Within the M-SKIP project, data on 10,959 skin cancer cases and 14,785 controls from 31 international investigators were checked for quality and recoded for standardization. We first proposed to fit the aggregated data with random-effects logistic regression models. However, for the M-SKIP project, a two-stage analysis will be preferred to overcome the problem regarding the availability of different study covariates. The joint contribution of MC1R variants and phenotypic characteristics to skin cancer development will be studied via logic regression modeling. Discussion. Methodological guidelines to correctly design and conduct pooled-analyses are needed to facilitate application of such methods, thus providing a better summary of the actual findings on specific fields. © 2012 Raimondi et al.
- Published
- 2012
34. Project: an international pooled-analysis on melanocortin-1 receptor (MC1R) variants and skin carcinogenesis
- Author
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123.Gandini S, Fargnoli MC, Maisonneuve P, Kaiser M, Kumar R, Nagore E, Han J, Hansson J, Kanetsky PA, Ghiorzo P, Gruis NA, Dwyer T, de Misa RF, Branicki W, Debniak T, Armstrong BK, Marrett LD, Morling N, Landi MT, Palmieri G, Ribas G, Gruber SB, Stratigos A, Millikan RC, Cornelius L, Motokawa T, Anno S, Helsing P, Culver HA, Begg CB, Wong TH, Rosso S, Gallagher RP, Berwick M, Autier P, García-Borrón JC, Little J, Newton-Bishop J, Sera F, and Raimondi S for the M-SKIP Study Group. The M-SKIP
- Published
- 2011
35. THU0368 Work Ability and Work Disability Evaluation in Patients with Rheumatoid Arthritis – from the Tomorrow Study: Table 1.
- Author
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Anno, S., primary, Inui, K., additional, Mamoto, K., additional, Okano, T., additional, Sugioka, Y., additional, Tada, M., additional, Koike, T., additional, and Nakamura, H., additional
- Published
- 2015
- Full Text
- View/download PDF
36. AB0481 Abatacept Might not Alter Anti-Cyclic Citrullinated Peptide Levels in Established Rheumatoid Arthritis Patients -Airtight Study-
- Author
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Anno, S., primary, Inui, K., additional, Mamoto, K., additional, Okano, T., additional, Sugioka, Y., additional, Tada, M., additional, Koike, T., additional, and Nakamura, H., additional
- Published
- 2015
- Full Text
- View/download PDF
37. Characterization of the Temporal and Spatial Dynamics of the Dengue Epidemic in Northern Sri Lanka
- Author
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Anno, S., primary, Imaoka, K., additional, Tadono, T., additional, Igarashi, T., additional, Sivaganesh, S., additional, Kannathasan, S., additional, Kumaran, V., additional, and Surendran, S., additional
- Published
- 2014
- Full Text
- View/download PDF
38. THU0354 The Features of Degenerative Lumbar Scoliosis in Rheumatoid Arthritis Patients - Matched Cohort Study
- Author
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Anno, S., primary, Yasuda, H., additional, Suzuki, A., additional, Koike, T., additional, Inui, K., additional, Terai, H., additional, Toyoda, H., additional, Tada, M., additional, Sugioka, Y., additional, Okano, T., additional, Yamada, K., additional, Takahashi, S., additional, Mamoto, K., additional, and Nakamura, H., additional
- Published
- 2014
- Full Text
- View/download PDF
39. Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies
- Author
-
Raimondi, S, Gandini, S, Fargnoli, MC, Bagnardi, V, Maisonneuve, P, Specchia, C, Kumar, R, Nagore, E, Han, J, Hansson, J, Kanetsky, PA, Ghiorzo, P, Gruis, NA, Dwyer, T, Blizzard, L, Fernandez-de-Misa, R, Branicki, W, Debniak, T, Morling, N, Landi, MT, Palmieri, G, Ribas, G, Stratigos, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Wong, TH, Autier, P, Garcia-Borron, JC, Little, J, Newton-Bishop, J, Sera, F, Liu, F, Kayser, M, Nijsten, T, Raimondi, S, Gandini, S, Fargnoli, MC, Bagnardi, V, Maisonneuve, P, Specchia, C, Kumar, R, Nagore, E, Han, J, Hansson, J, Kanetsky, PA, Ghiorzo, P, Gruis, NA, Dwyer, T, Blizzard, L, Fernandez-de-Misa, R, Branicki, W, Debniak, T, Morling, N, Landi, MT, Palmieri, G, Ribas, G, Stratigos, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Wong, TH, Autier, P, Garcia-Borron, JC, Little, J, Newton-Bishop, J, Sera, F, Liu, F, Kayser, M, and Nijsten, T
- Abstract
BACKGROUND: For complex diseases like cancer, pooled-analysis of individual data represents a powerful tool to investigate the joint contribution of genetic, phenotypic and environmental factors to the development of a disease. Pooled-analysis of epidemiological studies has many advantages over meta-analysis, and preliminary results may be obtained faster and with lower costs than with prospective consortia. DESIGN AND METHODS: Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies. We then present the statistical analysis plan that we are going to apply, giving particular attention to methods of analysis recently proposed to account for between-study heterogeneity and to explore the joint contribution of genetic, phenotypic and environmental factors in the development of a disease. Within the M-SKIP project, data on 10,959 skin cancer cases and 14,785 controls from 31 international investigators were checked for quality and recoded for standardization. We first proposed to fit the aggregated data with random-effects logistic regression models. However, for the M-SKIP project, a two-stage analysis will be preferred to overcome the problem regarding the availability of different study covariates. The joint contribution of MC1R variants and phenotypic characteristics to skin cancer development will be studied via logic regression modeling. DISCUSSION: Methodological guidelines to correctly design and conduct pooled-analyses are needed to facilitate application of such methods, thus providing a better summary of the actual findings on specific fields.
- Published
- 2012
40. Melanocortin-1receptor, skincancer and phenotypic characteristics (MSKIP) project: study design and methods for pooling results of genetic epidemiological studies.
- Author
-
Raimondi, S., Gandini, S., Fargnoli, M.C., Bagnardi, V., Maissonneuve, P., Specchia, C., Kumar, R., Nagore, E., Han, J., Hansson, J., Kanetsky, P.A., Ghiorzo, P., Gruis, N.A., Dwyer, T., Blizzard, L., Fernandez-de-Misa, R., Brainicki, W., Debniak, T., Landi, M.T., Morling, Niels, Palmieri, G., Ribas, G., Stratigos, A., Cornelius, L., Motokawa, T., Anno, S., Helsing, P., Wong, T.H., Autier, P., Garcia-Borron, J.C., Little, J., Newton-Bishop, J., Liu, F., Kayser, M., Nijsten, T., Raimondi, S., Gandini, S., Fargnoli, M.C., Bagnardi, V., Maissonneuve, P., Specchia, C., Kumar, R., Nagore, E., Han, J., Hansson, J., Kanetsky, P.A., Ghiorzo, P., Gruis, N.A., Dwyer, T., Blizzard, L., Fernandez-de-Misa, R., Brainicki, W., Debniak, T., Landi, M.T., Morling, Niels, Palmieri, G., Ribas, G., Stratigos, A., Cornelius, L., Motokawa, T., Anno, S., Helsing, P., Wong, T.H., Autier, P., Garcia-Borron, J.C., Little, J., Newton-Bishop, J., Liu, F., Kayser, M., and Nijsten, T.
- Published
- 2012
41. Identification of potential malaria risk areas of the Jaffna district of northern Sri Lanka: A GIS approach
- Author
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Kannathasan, S., primary, Antonyrajan, A., additional, Karunaweera, N.D., additional, Anno, S., additional, and Surendran, S.N., additional
- Published
- 2009
- Full Text
- View/download PDF
42. Comparison of imipenem/cilastatin with the combination of aztreonam and clindamycin in the treatment of intra-abdominal infections
- Author
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de Groot, Hans G. W., primary, Hustinx, Paul A., additional, Lampe, Anno S., additional, and Oosterwijk, Willem M., additional
- Published
- 1993
- Full Text
- View/download PDF
43. Nonliquid Reagent for Detecting Nitrate Reduction
- Author
-
Anno S. Lampe
- Subjects
Microbiology (medical) ,Bacteriological Techniques ,Nitrates ,Bacteria ,Ethylenediamines ,Oxidation reduction ,Naphthalenes ,Reduction (complexity) ,chemistry.chemical_compound ,Nitrate ,chemistry ,Reagent ,ETHYLENEDIAMINE DIHYDROCHLORIDE ,General Clinical Microbiology ,Indicators and Reagents ,Oxidation-Reduction ,Nuclear chemistry - Abstract
A nonliquid reagent for detecting nitrate reduction is described. The reagent contains N -(1-naphthyl)ethylenediamine dihydrochloride as a substitute for the carcinogenic α-naphthylamine. The reagent was tested on 135 strains and gave reliable results.
- Published
- 1981
44. Nonliquid Reagent for Detecting Nitrate Reduction
- Author
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Lampe, Anno S., primary
- Published
- 1981
- Full Text
- View/download PDF
45. MC1R variants in childhood and adolescent melanoma: a retrospective pooled analysis of a multicentre cohort
- Author
-
Pellegrini, Cristina, Botta, Francesca, Massi, Daniela, Martorelli, Claudia, Facchetti, Fabio, Gandini, Sara, Maisonneuve, Patrick, Avril, Marie-Françoise, Demenais, Florence, Bressac-de Paillerets, Brigitte, Hoiom, Veronica, Cust, Anne E, Anton-Culver, Hoda, Gruber, Stephen B, Gallagher, Richard P, Marrett, Loraine, Zanetti, Roberto, Dwyer, Terence, Thomas, Nancy E, Begg, Colin B, Berwick, Marianne, Puig, Susana, Potrony, Miriam, Nagore, Eduardo, Ghiorzo, Paola, Menin, Chiara, Manganoni, Ausilia Maria, Rodolfo, Monica, Brugnara, Sonia, Passoni, Emanuela, Sekulovic, Lidija Kandolf, Baldini, Federica, Guida, Gabriella, Stratigos, Alexandros, Ozdemir, Fezal, Ayala, Fabrizio, Fernandez-de-Misa, Ricardo, Quaglino, Pietro, Ribas, Gloria, Romanini, Antonella, Migliano, Emilia, Stanganelli, Ignazio, Kanetsky, Peter A, Pizzichetta, Maria Antonietta, García-Borrón, Jose Carlos, Nan, Hongmei, Landi, Maria Teresa, Little, Julian, Newton-Bishop, Julia, Sera, Francesco, Fargnoli, Maria Concetta, Raimondi, Sara, Alaibac, Mauro, Ferrari, Andrea, Valeri, Barbara, Sicher, Mariacristina, Mangiola, Daniela, Nazzaro, Gianluca, Tosti, Giulio, Mazzarol, Giovanni, Giudice, Giuseppe, Ribero, Simone, Astrua, Chiara, Mazzoni, Laura, Orlow, Irene, Mujumdar, Urvi, Hummer, Amanda, Busam, Klaus, Roy, Pampa, Canchola, Rebecca, Clas, Brian, Cotignola, Javiar, Monroe, Yvette, Armstrong, Bruce, Kricker, Anne, Litchfield, Melisa, Tucker, Paul, Stephens, Nicola, Switzer, Teresa, Theis, Beth, From, Lynn, Chowdhury, Noori, Vanasse, Louise, Purdue, Mark, Northrup, David, Rosso, Stefano, Sacerdote, Carlotta, Leighton, Nancy, Gildea, Maureen, Bonner, Joe, Jeter, Joanne, Klotz, Judith, Wilcox, Homer, Weiss, Helen, Millikan, Robert, Mattingly, Dianne, Player, Jon, Tse, Chiu-Kit, Rebbeck, Timothy, Walker, Amy, Panossian, Saarene, Setlow, Richard, Mohrenweiser, Harvey, Autier, Philippe, Han, Jiali, Caini, Saverio, Hofman, Albert, Kayser, Manfred, Liu, Fan, Nijsten, Tamar, Uitterlinden, Andre G., Kumar, Rajiv, Bishop, Tim, Elliott, Faye, Lazovich, Deann, Polsky, David, Hansson, Johan, Pastorino, Lorenza, Gruis, Nelleke A., Bouwes Bavinck, Jan Nico, Aguilera, Paula, Badenas, Celia, Carrera, Cristina, Gimenez-Xavier, Pol, Malvehy, Josep, Puig-Butille, Joan Anton, Tell-Marti, Gemma, Blizzard, Leigh, Cochrane, Jennifer, Branicki, Wojciech, Debniak, Tadeusz, Morling, Niels, Johansen, Peter, Mayne, Susan, Bale, Allen, Cartmel, Brenda, Ferrucci, Leah, Pfeiffer, Ruth, Palmieri, Giuseppe, Kypreou, Katerina, Bowcock, Anne, Cornelius, Lynn, Council, M. Laurin, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Andresen, Per Arne, Guida, Stefania, Wong, Collaborators (98): Alaibac M, Terence H., Ferrari, A, Valeri, B, Et, Al., Pellegrini, C., Botta, F., Massi, D., Martorelli, C., Facchetti, F., Gandini, S., Maisonneuve, P., Avril, M. -F., Demenais, F., Bressac-de Paillerets, B., Hoiom, V., Cust, A. E., Anton-Culver, H., Gruber, S. B., Gallagher, R. P., Marrett, L., Zanetti, R., Dwyer, T., Thomas, N. E., Begg, C. B., Berwick, M., Puig, S., Potrony, M., Nagore, E., Ghiorzo, P., Menin, C., Manganoni, A. M., Rodolfo, M., Brugnara, S., Passoni, E., Sekulovic, L. K., Baldini, F., Guida, G., Stratigos, A., Ozdemir, F., Ayala, F., Fernandez-de-Misa, R., Quaglino, P., Ribas, G., Romanini, A., Migliano, E., Stanganelli, I., Kanetsky, P. A., Pizzichetta, M. A., Garcia-Borron, J. C., Nan, H., Landi, M. T., Little, J., Newton-Bishop, J., Sera, F., Fargnoli, M. C., Raimondi, S., Alaibac, M., Ferrari, A., Valeri, B., Sicher, M., Mangiola, D., Nazzaro, G., Tosti, G., Mazzarol, G., Giudice, G., Ribero, S., Astrua, C., Mazzoni, L., Orlow, I., Mujumdar, U., Hummer, A., Busam, K., Roy, P., Canchola, R., Clas, B., Cotignola, J., Monroe, Y., Armstrong, B., Kricker, A., Litchfield, M., Tucker, P., Stephens, N., Switzer, T., Theis, B., From, L., Chowdhury, N., Vanasse, L., Purdue, M., Northrup, D., Rosso, S., Sacerdote, C., Leighton, N., Gildea, M., Bonner, J., Jeter, J., Klotz, J., Wilcox, H., Weiss, H., Millikan, R., Mattingly, D., Player, J., Tse, C. -K., Rebbeck, T., Walker, A., Panossian, S., Setlow, R., Mohrenweiser, H., Autier, P., Han, J., Caini, S., Hofman, A., Kayser, M., Liu, F., Nijsten, T., Uitterlinden, A. G., Kumar, R., Bishop, T., Elliott, F., Lazovich, D., Polsky, D., Hansson, J., Pastorino, L., Gruis, N. A., Bouwes Bavinck, J. N., Aguilera, P., Badenas, C., Carrera, C., Gimenez-Xavier, P., Malvehy, J., Puig-Butille, J. A., Tell-Marti, G., Blizzard, L., Cochrane, J., Branicki, W., Debniak, T., Morling, N., Johansen, P., Mayne, S., Bale, A., Cartmel, B., Ferrucci, L., Pfeiffer, R., Palmieri, G., Kypreou, K., Bowcock, A., Cornelius, L., Council, M. L., Motokawa, T., Anno, S., Helsing, P., Andresen, P. A., Guida, S., Wong, T. H., Ege Üniversitesi, Epidemiology, Genetic Identification, and Dermatology
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Male ,Skin Neoplasms ,Pediatrics ,Cohort Studies ,0302 clinical medicine ,Odds Ratio ,Developmental and Educational Psychology ,Pediatrics, Perinatology and Child Health ,030212 general & internal medicine ,Child ,Cancer ,Pediatric ,Tumor ,childhood disease ,Middle Aged ,Perinatology and Child Health ,cohort analysis ,Meta-analysis ,Melanocortin ,Cohort ,Female ,MC1R gene ,Receptor, Melanocortin, Type 1 ,Receptor ,Type 1 ,Cohort study ,Adult ,medicine.medical_specialty ,adolescent ,melanoma ,cohort analysi ,Subgroup analysis ,Article ,03 medical and health sciences ,Genetic ,Clinical Research ,030225 pediatrics ,Internal medicine ,Genetics ,Biomarkers, Tumor ,medicine ,Humans ,Genetic Predisposition to Disease ,Polymorphism ,Germ-Line Mutation ,Aged ,Retrospective Studies ,Polymorphism, Genetic ,business.industry ,Prevention ,Case-control study ,Retrospective cohort study ,GEM Study Group ,Odds ratio ,Logistic Models ,M-SKIP Study Group ,Case-Control Studies ,Cutaneous melanoma ,IMI Study Group ,business ,Biomarkers - Abstract
Ferrari, Andrea/0000-0002-4724-0517; Pellegrini, Cristina/0000-0003-2168-8097; Migliano, Emilia/0000-0002-5316-8937; Maisonneuve, Patrick/0000-0002-5309-4704; Guida, Stefania/0000-0002-8221-6694; Pastorino, Lorenza/0000-0002-2575-8331; CARRERA, CRISTINA/0000-0003-1608-8820; Paillerets, Brigitte Bressac-de/0000-0003-0245-8608; Sekulovic, Lidija Kandolf/0000-0002-5221-5068; Caini, Saverio/0000-0002-2262-1102; Potrony, Miriam/0000-0003-2766-0765; Pizzichetta, Maria Antonietta/0000-0002-4201-8490; Little, Julian/0000-0001-5026-5531; Nagore, Eduardo/0000-0003-3433-8707; Polsky, David/0000-0001-9554-5289; Demenais, Florence/0000-0001-8361-0936; Nazzaro, Gianluca/0000-0001-8534-6497; gandini, sara/0000-0002-1348-4548; Cornelius, Lynn A/0000-0002-6329-2819; Palmieri, Giuseppe/0000-0002-4350-2276; Cotignola, Javier/0000-0003-4473-9854; Ghiorzo, Paola/0000-0002-3651-8173; Autier, Philippe/0000-0003-1538-5321; Bishop, Tim/0000-0002-8752-8785; Sera, Francesco/0000-0002-8890-6848; Newton-Bishop, Julia/0000-0001-9147-6802; Litchfield, Melisa/0000-0003-0002-7724, WOS: 000464254100018, PubMed: 30872112, Background Germline variants in the melanocortin 1 receptor gene (MC1R) might increase the risk of childhood and adolescent melanoma, but a clear conclusion is challenging because of the low number of studies and cases. We assessed the association of MC1R variants with childhood and adolescent melanoma in a large study comparing the prevalence of MC1R variants in child or adolescent patients with melanoma to that in adult patients with melanoma and in healthy adult controls. Methods in this retrospective pooled analysis, we used the M-SKIP Project, the Italian Melanoma Intergroup, and other European groups (with participants from Australia, Canada, France, Greece, Italy, the Netherlands, Serbia, Spain, Sweden, Turkey, and the USA) to assemble an international multicentre cohort. We gathered phenotypic and genetic data from children or adolescents diagnosed with sporadic single-primary cutaneous melanoma at age 20 years or younger, adult patients with sporadic single-primary cutaneous melanoma diagnosed at age 35 years or older, and healthy adult individuals as controls. We calculated odds ratios (ORs) for childhood and adolescent melanoma associated with MC1R variants by multivariable logistic regression. Subgroup analysis was done for children aged 18 or younger and 14 years or younger. Findings We analysed data from 233 young patients, 932 adult patients, and 932 healthy adult controls. Children and adolescents had higher odds of carrying MC1R r variants than did adult patients (OR 1.54, 95% CI 1.02-2.33), including when analysis was restricted to patients aged 18 years or younger (1.80, 1.06-3.07). All investigated variants, except Arg160Trp, tended, to varying degrees, to have higher frequencies in young patients than in adult patients, with significantly higher frequencies found for Val60Leu (OR 1.60, 95% CI 1.05-2.44; p=0.04) and Asp294His (2.15, 1.05-4.40; p=0.04). Compared with those of healthy controls, young patients with melanoma had significantly higher frequencies of any MC1R variants. Interpretation Our pooled analysis of MC1R genetic data of young patients with melanoma showed that MC1R r variants were more prevalent in childhood and adolescent melanoma than in adult melanoma, especially in patients aged 18 years or younger. Our findings support the role of MC1R in childhood and adolescent melanoma susceptibility, with a potential clinical relevance for developing early melanoma detection and preventive strategies. Copyright (c) 2019 Elsevier Ltd. All rights reserved., [AIRC-MFAG-11831]; NATIONAL CANCER INSTITUTEUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086] Funding Source: NIH RePORTER, SPD-Pilot/Project-Award-2015; AIRC-MFAG-11831.
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- 2019
46. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project
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Pasquali, Elena, García Borrón, José C., Fargnoli, Maria Concetta, Gandini, Sara, Maisonneuve, Patrick, Bagnardi, Vincenzo, Specchia, Claudia, Liu, Fan, Kayser, Manfred, Nijsten, Tamar, Nagore, Eduardo, Kumar, Rajiv, Hansson, Johan, Kanetsky, Peter A., Ghiorzo, Paola, Debniak, Tadeusz, Branicki, Wojciech, Gruis, Nelleke A., Han, Jiali, Dwyer, Terry, Blizzard, Leigh, Landi, Maria Teresa, Palmieri, Giuseppe, Ribas, Gloria, Stratigos, Alexander, Council, M. Laurin, Autier, Philippe, Little, Julian, Newton Bishop, Julia, Sera, Francesco, Raimondi, Sara, Caini, Saverio, Hofman, Albert, Uitterlinden, Andre G., Scherer, Dominique, Hoiom, Veronica, Pastorino, Lorenza, Cochrane, Jennifer, Fernandez De Misa, Ricardo, Morling, Niels, Johansen, Peter, Pfeiffer, Ruth, Kypreou, Katerina, Bowcock, Anne, Cornelius, Lynn, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Andresen, Per Arne, Wong, Terence H., International Prevention Research Institute (IPRI), Strathclyde Institute of Global Public Health at iPRI (SIGPH@iPRI), Pasquali, E, García Borrón, J, Fargnoli, M, Gandini, S, Maisonneuve, P, Bagnardi, V, Specchia, C, Liu, F, Kayser, M, Nijsten, T, Nagore, E, Kumar, R, Hansson, J, Kanetsky, P, Ghiorzo, P, Debniak, T, Branicki, W, Gruis, N, Han, J, Dwyer, T, Blizzard, L, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Council, M, Autier, P, Little, J, Newton Bishop, J, Sera, F, Raimondi, S, Caini, S, Hofman, A, Uitterlinden, A, Scherer, D, Hoiom, V, Pastorino, L, Cochrane, J, Fernandez De Misa, R, Morling, N, Johansen, P, Pfeiffer, R, Kypreou, K, Bowcock, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Andresen, P, Wong, T, Genetic Identification, and Dermatology
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Risk ,Cancer Research ,genetic epidemiology ,Skin Neoplasms ,European Continental Ancestry Group ,Skin Pigmentation ,Type 1/*genetics Risk Skin Neoplasms/etiology/*genetics Skin Pigmentation genetic epidemiology melanocortin-1 receptor melanoma meta-analysis ,Article ,White People ,SDG 3 - Good Health and Well-being ,Melanocortin-1 receptor ,European Continental Ancestry Group *Genetic Predisposition to Disease Humans Melanoma/etiology/*genetics Middle Aged Phenotype Receptor ,melanoma ,Humans ,Genetic epidemiology ,Meta-analysi ,Genetic Predisposition to Disease ,Melanoma ,melanocortin-1 receptor ,Middle Aged ,meta-analysis ,Phenotype ,Oncology ,Melanocortin ,Meta-analysis ,Receptor, Melanocortin, Type 1 ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Receptor ,Type 1 - Abstract
Pasquali, Elena Garcia-Borron, Jose C Fargnoli, Maria Concetta Gandini, Sara Maisonneuve, Patrick Bagnardi, Vincenzo Specchia, Claudia Liu, Fan Kayser, Manfred Nijsten, Tamar Nagore, Eduardo Kumar, Rajiv Hansson, Johan Kanetsky, Peter A Ghiorzo, Paola Debniak, Tadeusz Branicki, Wojciech Gruis, Nelleke A Han, Jiali Dwyer, Terry Blizzard, Leigh Landi, Maria Teresa Palmieri, Giuseppe Ribas, Gloria Stratigos, Alexander Council, M Laurin Autier, Philippe Little, Julian Newton-Bishop, Julia Sera, Francesco Raimondi, Sara eng 10589/Cancer Research UK/United Kingdom K05 CA131675/CA/NCI NIH HHS/ U01 CA083180/CA/NCI NIH HHS/ Research Support, Non-U.S. Gov't 2014/06/12 06:00 Int J Cancer. 2015 Feb 1;136(3):618-31. doi: 10.1002/ijc.29018. Epub 2014 Jun 18.; International audience; The MC1R gene is a key regulator of skin pigmentation. We aimed to evaluate the association between MC1R variants and the risk of sporadic cutaneous melanoma (CM) within the M-SKIP project, an international pooled-analysis on MC1R, skin cancer and phenotypic characteristics. Data included 5,160 cases and 12,119 controls from 17 studies. We calculated a summary odds ratio (SOR) for the association of each of the nine most studied MC1R variants and of variants combined with CM by using random-effects models. Stratified analysis by phenotypic characteristics were also performed. Melanoma risk increased with presence of any of the main MC1R variants: the SOR for each variant ranged from 1.47 (95%CI: 1.17-1.84) for V60L to 2.74 (1.53-4.89) for D84E. Carriers of any MC1R variant had a 66% higher risk of developing melanoma compared with wild-type subjects (SOR; 95%CI: 1.66; 1.41-1.96) and the risk attributable to MC1R variants was 28%. When taking into account phenotypic characteristics, we found that MC1R-associated melanoma risk increased only for darker-pigmented Caucasians: SOR (95%CI) was 3.14 (2.06-4.80) for subjects with no freckles, no red hair and skin Type III/IV. Our study documents the important role of all the main MC1R variants in sporadic CM and suggests that they have a direct effect on melanoma risk, independently on the phenotypic characteristics of carriers. This is of particular importance for assessing preventive strategies, which may be directed to darker-pigmented Caucasians with MC1R variants as well as to lightly pigmented, fair-skinned subjects.
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- 2015
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47. Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies
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Raimondi, Sara, Gandini, Sara, Fargnoli, Maria Concetta, Bagnardi, Vincenzo, Maisonneuve, Patrick, Specchia, Claudia, Kumar, Rajiv, Nagore, Eduardo, Han, Jiali, Hansson, Johan, Kanetsky, Peter A., Ghiorzo, Paola, Gruis, Nelleke A., Dwyer, Terry, Blizzard, Leigh, Fernandez-De-Misa, Ricardo, Branicki, Wojciech, Debniak, Tadeusz, Morling, Niels, Landi, Maria Teresa, Palmieri, Giuseppe, Ribas, Gloria, Stratigos, Alexander, Cornelius, Lynn, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Wong, Terence H., Autier, Philippe, García-Borrón, José C., Little, Julian, Newton-Bishop, Julia, Sera, Francesco, Liu, Fan, Kayser, Manfred, Nijsten, Tamar, Genetic Identification, Dermatology, International Prevention Research Institute (IPRI), Raimondi, S, Gandini, S, Fargnoli, M, Bagnardi, V, Maisonneuve, P, Specchia, C, Kumar, R, Nagore, E, Han, J, Hansson, J, Kanetsky, P, Ghiorzo, P, Gruis, N, Dwyer, T, Blizzard, L, Fernandez de Misa, R, Branicki, W, Debniak, T, Morling, N, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Wong, T, Autier, P, García Borrón, J, Little, J, Newton Bishop, J, Sera, F, Liu, F, Kayser, M, Nijsten, T, and Study Group, G
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Male ,Skin Neoplasms ,Standardization ,Epidemiology ,Pooling ,Disease ,Bioinformatics ,Logistic regression ,Study Protocol ,0302 clinical medicine ,Statistical Analysis Plan ,Adult Case-Control Studies Data Collection/standards Data Interpretation ,Skin cancer ,Genetic epidemiology ,Statistical *Epidemiologic Research Design Female *Genetic Predisposition to Disease Hospitalization Humans Logistic Models Male Meta-Analysis as Topic Phenotype *Receptor ,Melanoma ,lcsh:R5-920 ,0303 health sciences ,Data Collection ,Smoking ,Pooled-analysis ,3. Good health ,Hospitalization ,Phenotype ,030220 oncology & carcinogenesis ,Meta-analysis ,Data Interpretation, Statistical ,Genetic epidemiology, Melanoma, Meta-analysis, Pooled-analysis, Skin cancer, Study design ,Melanocortin ,Sunlight ,Female ,lcsh:Medicine (General) ,Receptor, Melanocortin, Type 1 ,Adult ,Health Informatics ,Computational biology ,03 medical and health sciences ,Meta-Analysis as Topic ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Genetic Predisposition to Disease ,MED/01 - STATISTICA MEDICA ,030304 developmental biology ,business.industry ,Study design ,medicine.disease ,Logistic Models ,Case-Control Studies ,Epidemiologic Research Design ,Type 1 Skin Neoplasms/*genetics/physiopathology/secondary Smoking Sunlight/*adverse effects ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business - Abstract
Raimondi, Sara Gandini, Sara Fargnoli, Maria Concetta Bagnardi, Vincenzo Maisonneuve, Patrick Specchia, Claudia Kumar, Rajiv Nagore, Eduardo Han, Jiali Hansson, Johan Kanetsky, Peter A Ghiorzo, Paola Gruis, Nelleke A Dwyer, Terry Blizzard, Leigh Fernandez-de-Misa, Ricardo Branicki, Wojciech Debniak, Tadeusz Morling, Niels Landi, Maria Teresa Palmieri, Giuseppe Ribas, Gloria Stratigos, Alexander Cornelius, Lynn Motokawa, Tomonori Anno, Sumiko Helsing, Per Wong, Terence H Autier, Philippe Garcia-Borron, Jose C Little, Julian Newton-Bishop, Julia Sera, Francesco Liu, Fan Kayser, Manfred Nijsten, Tamar eng CA112243-05 S1/CA/NCI NIH HHS/ R01 CA112243/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't England 2012/08/07 06:00 BMC Med Res Methodol. 2012 Aug 3;12:116. doi: 10.1186/1471-2288-12-116.; International audience; BACKGROUND: For complex diseases like cancer, pooled-analysis of individual data represents a powerful tool to investigate the joint contribution of genetic, phenotypic and environmental factors to the development of a disease. Pooled-analysis of epidemiological studies has many advantages over meta-analysis, and preliminary results may be obtained faster and with lower costs than with prospective consortia. DESIGN AND METHODS: Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies. We then present the statistical analysis plan that we are going to apply, giving particular attention to methods of analysis recently proposed to account for between-study heterogeneity and to explore the joint contribution of genetic, phenotypic and environmental factors in the development of a disease. Within the M-SKIP project, data on 10,959 skin cancer cases and 14,785 controls from 31 international investigators were checked for quality and recoded for standardization. We first proposed to fit the aggregated data with random-effects logistic regression models. However, for the M-SKIP project, a two-stage analysis will be preferred to overcome the problem regarding the availability of different study covariates. The joint contribution of MC1R variants and phenotypic characteristics to skin cancer development will be studied via logic regression modeling. DISCUSSION: Methodological guidelines to correctly design and conduct pooled-analyses are needed to facilitate application of such methods, thus providing a better summary of the actual findings on specific fields.
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- 2012
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48. Biologic and targeted synthetic disease-modifying anti-rheumatic drugs improve body composition in rheumatoid arthritis patients more than conventional synthetic disease-modifying anti-rheumatic drugs: Results from the PRESENT study.
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Tada M, Matsumoto Y, Koike T, Mamoto K, Nakamura T, Anno S, Iida T, Goto H, and Hidaka N
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- Humans, Male, Female, Prospective Studies, Aged, Treatment Outcome, Middle Aged, Time Factors, Janus Kinase Inhibitors therapeutic use, Tumor Necrosis Factor Inhibitors therapeutic use, Japan, Muscle, Skeletal drug effects, Muscle, Skeletal physiopathology, Arthritis, Rheumatoid drug therapy, Arthritis, Rheumatoid physiopathology, Arthritis, Rheumatoid diagnosis, Body Composition drug effects, Antirheumatic Agents therapeutic use, Sarcopenia physiopathology, Sarcopenia drug therapy, Biological Products therapeutic use
- Abstract
Introduction: The effects of biologic and targeted synthetic disease-modifying anti-rheumatic drugs (b/tsDMARDs) and conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) on body composition and muscle function in rheumatoid arthritis (RA) patients requiring treatment enhancement were compared., Methods: This multicenter, prospective, observational study (PRESENT Study) divided RA patients non-randomly into a csDMARD group (n = 100) and a b/tsDMARD group (n = 100). Changes in body composition and muscle function were examined in 80 patients in each group followed for 52 weeks. The percentages of new-onset and improved sarcopenia over 1 year were investigated. Patients in the b/tsDMARD group were divided into three groups by drug type: TNF inhibitors (n = 30), non-TNF inhibitors (n = 23), and JAK inhibitors (n = 27)., Results: Baseline median age and disease duration were 70.0 and 4.0 years, respectively. Changes in weight (24 and 52 weeks) and muscle mass (52 weeks) were significantly higher in the b/tsDMARD group (p = .035, p < .001, and p = .002, respectively). On multivariate logistic regression analysis, b/tsDMARD treatment (OR 3.21, p = .002), DAS28-ESR (OR 0.65 p = .011), and muscle mass (OR 0.90, p = .023) were independently associated with increased muscle mass at 52 weeks. The percentages of new-onset and improved sarcopenia were almost equal. There were no significant differences in the time-dependent changes (52 weeks) of clinical status, body composition, muscle function, and status of sarcopenia among TNF inhibitors, non-TNF inhibitors, and JAK inhibitors., Conclusions: Weight and muscle mass increased significantly more with b/tsDMARD than with csDMARD treatment. There were no differences in body composition changes by mode of action with b/tsDMARDs., (© 2024 Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd.)
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- 2024
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49. Efficacy and safety of Janus kinase inhibitors in patients with difficult-to-treat rheumatoid arthritis.
- Author
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Anno S, Okano T, Mamoto K, Yamada Y, Mandai K, Orita K, Iida T, Tada M, Inui K, Koike T, and Nakamura H
- Abstract
Objectives: This study evaluated the effectiveness of Janus kinase inhibitors (JAKi) in patients with difficult-to-treat rheumatoid arthritis (D2T RA)., Methods: This study included 220 patients with RA who were treated with JAKi. Sixty-two patients were naïve to biological disease-modifying anti-rheumatic drugs (bDMARDs)/JAKi (1st group), 57 patients were failure to one bDMARDs/JAKi (2nd group), and 101 patients were failure to ≥ 2 bDMARDs/JAKi. Of these 101 patients, 25 did not meet the D2T RA criteria (non-D2T RA group) and 76 met the D2T RA criteria (D2T RA group)., Results: : DAS28-ESR was improved in all groups at 24 weeks (1st: p<0.01, 2nd: p<0.01, non-D2T RA: p=0.01, D2TRA: p=0.02), and improvement ratio of DAS28-ESR was not different between DT2RA group and 2nd (p=0.73) or non-D2T RA group (p=0.68). Glucocorticoid use (odds ratios: 8.67; 95% CI: 1.23-60.90; P=0.03) and number of past bDMARD/JAKi uses ≥ 3 (odds ratios: 10.55; 95% CI: 1.39-80.30; P=0.02) were risk factors for DAS28-ESR ≥ 3.2 at 24 weeks in the D2T RA group., Conclusions: Clinical efficacy of JAKi in D2T RA group did not differ from that in 2nd and non-D2T RA groups. Glucocorticoid use and multiple bDMARD/JAKi failure were poor prognostic factors for D2T RA., (© Japan College of Rheumatology 2024. Published by Oxford University Press. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site–for further information please contact journals.permissions@oup.com.)
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- 2024
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50. Comparison of creatine kinase elevation caused by Janus kinase inhibitors and interleukin-6 inhibitors in patients with rheumatoid arthritis: A propensity score-matched study.
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Tada M, Okano T, Mamaoto K, Yamada Y, Orita K, Mandai K, Anno S, Iida T, Inui K, and Koike T
- Abstract
Objectives: This study aimed to examine whether creatine kinase (CK) elevation occurs with interleukin (IL)-6 inhibitors, as in Janus kinase (JAK) inhibitors, which are reported to increase CK levels in rheumatoid arthritis., Patients and Methods: A multicenter database of JAK inhibitor and IL-6 inhibitor treatment was retrospectively searched between January 2016 to December 2022; 142 cases (117 females, 25 males, mean age: 63.8±13.0 years; range, 20 to 85 years), with 71 cases in each group, were extracted by propensity score matching using age, sex, body mass index, and CK at 0 weeks. The outlier rate was compared. Patients' background characteristics related to elevated CK levels at 24 weeks were investigated by univariate and multivariate analyses., Results: Creatine kinase levels at 4 and 12 weeks were significantly higher with JAK inhibitors than with IL-6 inhibitors (four weeks, 72 vs. 87.5 IU/mL, p=0.016; 12 weeks, 71 vs. 95.5 IU/mL, p=0.028). The outlier rate (Grade 1) with JAK inhibitors increased significantly over time (0 weeks, 4.2%; four weeks, 18.1%; 12 weeks, 21.7%; 24 weeks, 18.3%; p=0.015), whereas that with IL-6 inhibitors increased slightly (0 weeks, 5.6%; four weeks, 9.2%; 12 weeks, 8.6%; 24 weeks, 8.5%; p=0.745), with a significant difference between the groups (p=0.035). No patients discontinued treatment due to myalgia or renal dysfunction. The factors significantly positively related to elevated CK levels at 24 weeks were male sex and creatinine. Those significantly negatively related were Steinbrocker stage and class, modified health assessment questionnaire scores, estimated glomerular filtration rate, and glucocorticoid dose., Conclusion: Mild CK elevations with JAK inhibitors are not a particular clinical problem. CK elevation might be specific to JAK inhibitors., Competing Interests: Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article., (Copyright © 2024, Turkish League Against Rheumatism.)
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- 2024
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