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Your search keyword '"Sivakumaran, P."' showing total 5 results
Start Over Author "Sivakumaran, P." Topic cancer
5 results on '"Sivakumaran, P."'

1. Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

Author

Ghoussaini, Maya, French, Juliet D, Michailidou, Kyriaki, Nord, Silje, Beesley, Jonathan, Canisus, Sander, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Marjaneh, Moradi, Lee, Jason S, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Milne, Roger L, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Alonso, M Rosario, Pita, Guillermo, Neuhausen, Susan L, Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Tessier, Daniel C, Vincent, Daniel, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Investigators, kConFab AOCS, Wu, Anna H, Van Den Berg, David, Lambrechts, Diether, Floris, Giuseppe, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Barile, Monica, Couch, Fergus J, Hallberg, Emily, Giles, Graham G, Haiman, Christopher A, Le Marchand, Loic, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Borresen-Dale, Anne-Lise, Collaborators, NBCS, Zheng, Wei, Cai, Qiuyin, Winqvist, Robert, Pylkäs, Katri, Andrulis, Irene L, Devilee, Peter, Tollenaar, Rob AEM, García-Closas, Montserrat, Figueroa, Jonine, Hall, Per, Czene, Kamila, Brand, Judith S, Darabi, Hatef, Eriksson, Mikael, Hooning, Maartje J, Koppert, Linetta B, Li, Jingmei, Shu, Xiao-Ou, Zheng, Ying, Cox, Angela, Cross, Simon S, Shah, Mitul, and Rhenius, Valerie

Subjects
Prevention, Genetics, Cancer, Breast Cancer, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromosomes, Human, Pair 5, Enhancer Elements, Genetic, Fibroblast Growth Factor 10, Genetic Predisposition to Disease, Haplotypes, Humans, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Receptor, Fibroblast Growth Factor, Type 2, Receptors, Estrogen, kConFab/AOCS Investigators, NBCS Collaborators, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). With data for 3,365 genotyped and imputed SNPs across a 1 Mb region (positions 44,394,495-45,364,167; NCBI build 37), we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen-receptor-positive (ER+) breast cancer (per-g allele OR ER+ = 1.15; 95% CI 1.13-1.18; p = 8.35 × 10-30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER-) breast cancer (lead SNP rs6864776: per-a allele OR ER- = 1.10; 95% CI 1.05-1.14; p conditional = 1.44 × 10-12), and a single signal 3 SNP (rs200229088: per-t allele OR ER+ = 1.12; 95% CI 1.09-1.15; p conditional = 1.12 × 10-05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed that the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is overexpressed in ∼10% of human breast cancers, whereas MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.

Published
2016

2. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.

Author

Dunning, Alison M, Michailidou, Kyriaki, Kuchenbaecker, Karoline B, Thompson, Deborah, French, Juliet D, Beesley, Jonathan, Healey, Catherine S, Kar, Siddhartha, Pooley, Karen A, Lopez-Knowles, Elena, Dicks, Ed, Barrowdale, Daniel, Sinnott-Armstrong, Nicholas A, Sallari, Richard C, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Moradi Marjaneh, Mahdi, Lee, Jason S, Hills, Margaret, Jarosz, Monika, Drury, Suzie, Canisius, Sander, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Hopper, John L, Southey, Melissa C, Broeks, Annegien, Schmidt, Marjanka K, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Fasching, Peter A, Dos-Santos-Silva, Isabel, Peto, Julian, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, González-Neira, Anna, Perez, Jose IA, Anton-Culver, Hoda, Eunjung, Lee, Arndt, Volker, Brenner, Hermann, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Aittomäki, Kristiina, Blomqvist, Carl, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natasha, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-Chen, Wu, Anna H, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Nord, Silje, Borresen-Dale, Anne-Lise, Kristensen, Vessela, Long, Jirong, Zheng, Wei, Pylkäs, Katri, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, Figueroa, Jonine, Sherman, Mark E, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, van den Ouweland, Ans MW, Humphreys, Keith, Gao, Yu-Tang, and Shu, Xiao-Ou

Subjects
EMBRACE, GEMO Study Collaborators, HEBON, kConFab Investigators, Chromosomes, Human, Pair 6, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Carrier Proteins, Cell Cycle Proteins, Estrogen Receptor alpha, Risk Factors, Gene Expression, Gene Expression Regulation, Neoplastic, Base Sequence, Protein Binding, Phenotype, Polymorphism, Single Nucleotide, Female, Genetic Association Studies, Cancer, Clinical Research, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.

Published
2016

3. Germline polymorphisms in an enhancer of PSIP1 are associated with progression-free survival in epithelial ovarian cancer

Author

French, Juliet D, Johnatty, Sharon E, Lu, Yi, Beesley, Jonathan, Gao, Bo, Kalimutho, Murugan, Henderson, Michelle J, Russell, Amanda J, Kar, Siddhartha, Chen, Xiaoqing, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, O’Reilly, Martin, Wang, Chen, Korbie, Darren J, Group, Australian Ovarian Cancer Study, Study, Australian Cancer, Lambrechts, Diether, Despierre, Evelyn, Van Nieuwenhuysen, Els, Lambrechts, Sandrina, Vergote, Ignace, Karlan, Beth, Lester, Jenny, Orsulic, Sandra, Walsh, Christine, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Hein, Alexander, Matsuo, Keitaro, Hosono, Satoyo, Pisterer, Jacobus, Hillemanns, Peter, Nakanishi, Toru, Yatabe, Yasushi, Goodman, Marc T, Lurie, Galina, Matsuno, Rayna K, Thompson, Pamela J, Pejovic, Tanja, Bean, Yukie, Heitz, Florian, Harter, Philipp, du Bois, Andreas, Schwaab, Ira, Hogdall, Estrid, Kjaer, Susanne K, Jensen, Allan, Hogdall, Claus, Lundvall, Lene, Engelholm, Svend Aage, Brown, Bob, Flanagan, James M, Metcalf, Michelle D, Siddiqui, Nadeem, Sellers, Thomas, Fridley, Brooke, Cunningham, Julie, Schildkraut, Joellen M, Iversen, Ed, Weber, Rachel Palmieri, Brennan, Donal, Berchuck, Andrew, Pharoah, Paul, Harnett, Paul, Norris, Murray D, Haber, Michelle, Goode, Ellen L, Lee, Jason S, Khanna, Kum Kum, Meyer, Kerstin B, Chenevix-Trench, Georgia, deFazio, Anna, Edwards, Stacey L, MacGregor, Stuart, and Consortium, on behalf of the Ovarian Cancer Association

Subjects
Genetics, Rare Diseases, Human Genome, Ovarian Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Adaptor Proteins, Signal Transducing, Apoptosis, Biomarkers, Tumor, Cell Proliferation, Chromatin Immunoprecipitation, Cohort Studies, Cystadenocarcinoma, Serous, Electrophoretic Mobility Shift Assay, Enhancer Elements, Genetic, Fallopian Tube Neoplasms, Female, Follow-Up Studies, Germ-Line Mutation, Humans, Ovarian Neoplasms, Peritoneal Neoplasms, Polymorphism, Single Nucleotide, Prognosis, RNA, Messenger, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Survival Rate, Transcription Factors, Tumor Cells, Cultured, epithelial ovarian cancer, progression free survival, genome-wide association study, PSIP1, chromosome conformation capture, Australian Ovarian Cancer Study Group, Australian Ovarian Cancer Study, Ovarian Cancer Association Consortium, Oncology and Carcinogenesis
Abstract

Women with epithelial ovarian cancer (EOC) are usually treated with platinum/taxane therapy after cytoreductive surgery but there is considerable inter-individual variation in response. To identify germline single-nucleotide polymorphisms (SNPs) that contribute to variations in individual responses to chemotherapy, we carried out a multi-phase genome-wide association study (GWAS) in 1,244 women diagnosed with serous EOC who were treated with the same first-line chemotherapy, carboplatin and paclitaxel. We identified two SNPs (rs7874043 and rs72700653) in TTC39B (best P=7x10-5, HR=1.90, for rs7874043) associated with progression-free survival (PFS). Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, CCDC171 and an alternative promoter of TTC39B. The C allele of rs7874043 is associated with poor PFS and showed increased binding of the Sp1 transcription factor, which is critical for chromatin interactions with PSIP1. Silencing of PSIP1 significantly impaired DNA damage-induced Rad51 nuclear foci and reduced cell viability in ovarian cancer lines. PSIP1 (PC4 and SFRS1 Interacting Protein 1) is known to protect cells from stress-induced apoptosis, and high expression is associated with poor PFS in EOC patients. We therefore suggest that the minor allele of rs7874043 confers poor PFS by increasing PSIP1 expression.

Published
2016

4. Systematic meta-analyses and field synopsis of genetic association studies in colorectal adenomas

Author

Montazeri, Zahra, Theodoratou, Evropi, Nyiraneza, Christine, Timofeeva, Maria, Chen, Wanjing, Svinti, Victoria, Sivakumaran, Shanya, Gresham, Gillian, Cubitt, Laura, Carvajal-Carmona, Luis, Bertagnolli, Monica M, Zauber, Ann G, Tomlinson, Ian, Farrington, Susan M, Dunlop, Malcolm G, Campbell, Harry, and Little, Julian

Subjects
Epidemiology, Health Sciences, Cancer, Colo-Rectal Cancer, Genetics, Human Genome, Digestive Diseases, Aetiology, 2.1 Biological and endogenous factors, Adenoma, Alleles, Arylamine N-Acetyltransferase, Bayes Theorem, Colorectal Neoplasms, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Isoenzymes, Methylenetetrahydrofolate Reductase (NADPH2), NAD(P)H Dehydrogenase (Quinone), Polymorphism, Single Nucleotide, Risk Factors, Tumor Suppressor Protein p53, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundLow penetrance genetic variants, primarily single nucleotide polymorphisms, have substantial influence on colorectal cancer (CRC) susceptibility. Most CRCs develop from colorectal adenomas (CRA). Here we report the first comprehensive field synopsis that catalogues all genetic association studies on CRA, with a parallel online database [http://www.chs.med.ed.ac.uk/CRAgene/].MethodsWe performed a systematic review, reviewing 9750 titles, and then extracted data from 130 publications reporting on 181 polymorphisms in 74 genes. We conducted meta-analyses to derive summary effect estimates for 37 polymorphisms in 26 genes. We applied the Venice criteria and Bayesian False Discovery Probability (BFDP) to assess the levels of the credibility of associations.ResultsWe considered the association with the rs6983267 variant at 8q24 as 'highly credible', reaching genome-wide statistical significance in at least one meta-analysis model. We identified 'less credible' associations (higher heterogeneity, lower statistical power, BFDP > 0.02) with a further four variants of four independent genes: MTHFR c.677C>T p.A222V (rs1801133), TP53 c.215C>G p.R72P (rs1042522), NQO1 c.559C>T p.P187S (rs1800566), and NAT1 alleles imputed as fast acetylator genotypes. For the remaining 32 variants of 22 genes for which positive associations with CRA risk have been previously reported, the meta-analyses revealed no credible evidence to support these as true associations.ConclusionsThe limited number of credible associations between low penetrance genetic variants and CRA reflects the lower volume of evidence and associated lack of statistical power to detect associations of the magnitude typically observed for genetic variants and chronic diseases. The CRA gene database provides context for CRA genetic association data and will help inform future research directions.

Published
2016

5. Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin

Author

Ugalde, Anna, Tothill, Richard W., Quinn, Stephen, Wong, Hui-Li, Prall, Owen, Mitchell, Catherine, Wickramasinghe, Nilmini, Fedele, Clare, Richards, Natalie, Todio, Elizabeth, Bryant, Cindy, Collins, Louisa G., McLean, Sarah, Ko, Hyun Soo, Akhurst, Tim, Steer, Christopher, Gao, Bo, Wong, Mark, Georgiou, Chloe, Karanth, Narayan, Kuchel, Anna, Nott, Louise, Padinharakam, Shamsudheen, Shackleton, Mark, Collins, Ian M., Singh, Madhu, Wong, Rachel, Wong, Zee Wan, Butler, Alexis, Sivakumaran, Tharani, Schofield, Penelope, and Mileshkin, Linda

Published
2025
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