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Germline Genetic Variants in GATA3 and Breast Cancer Treatment Outcomes in SWOG S8897 Trial and the Pathways Study.
Larsen, Victoria; Barlow, William E; Yang, Jun J; Zhu, Qianqian; Liu, Song; Kwan, Marilyn L; Ergas, Isaac J; Roh, Janise M; Hutchins, Laura F; Kadlubar, Susan A; Albain, Kathy S; Rae, James M; Yeh, I-Tien; Ravdin, Peter M; Martino, Silvana; Lyss, Alan P; Osborne, C Kent; Hortobagyi, Gabriel N; Kushi, Lawrence H; Hayes, Daniel F; Ambrosone, Christine B; Yao, Song.
Afiliação
  • Larsen V; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
  • Barlow WE; SWOG Statistical Center, Seattle, WA.
  • Yang JJ; Pharmaceutical Science, St. Jude Children's Research Hospital, Memphis, TN.
  • Zhu Q; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
  • Liu S; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
  • Kwan ML; Division of Research, Kaiser Permanente Northern California, Oakland, CA.
  • Ergas IJ; Division of Research, Kaiser Permanente Northern California, Oakland, CA.
  • Roh JM; Division of Research, Kaiser Permanente Northern California, Oakland, CA.
  • Hutchins LF; University of Arkansas for Medical Sciences, Little Rock, AR.
  • Kadlubar SA; University of Arkansas for Medical Sciences, Little Rock, AR.
  • Albain KS; Loyola University Chicago Stritch School of Medicine, Maywood, IL.
  • Rae JM; University of Michigan Comprehensive Cancer Center, Ann Arbor, MI.
  • Yeh IT; University of Texas Health Science Center at San Antonio, San Antonio, TX.
  • Ravdin PM; University of Texas Health Science Center at San Antonio, San Antonio, TX.
  • Martino S; The Angeles Clinic and Research Institute, Santa Monica, CA.
  • Lyss AP; Heartland NCORP, Missouri Baptist Medical Center, St. Louis, MO.
  • Osborne CK; Baylor College of Medicine, Houston, TX.
  • Hortobagyi GN; University of Texas M.D. Anderson Cancer Center, Houston, TX.
  • Kushi LH; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
  • Hayes DF; University of Michigan Comprehensive Cancer Center, Ann Arbor, MI.
  • Ambrosone CB; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
  • Yao S; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY. Electronic address: song.yao@roswellpark.org.
Clin Breast Cancer ; 19(4): 225-235.e2, 2019 08.
Article em En | MEDLINE | ID: mdl-30928413
INTRODUCTION: GATA3 is a critical transcription factor in maintaining the differentiated state of luminal mammary epithelial cells. We sought to determine the prognostic and predictive roles of GATA3 genotypes for breast cancer. PATIENTS AND METHODS: Twelve single nucleotide polymorphisms (SNPs) were genotyped in 2 breast cancer cohorts, including the SWOG S8897 trial where patients were treated with adjuvant chemotherapy (CAF [cyclophosphamide, doxorubicin, 5-fluorouracil] vs. CMF [cyclophosphamide, methotrexate, 5-fluorouracil]) or untreated, and the observational Pathways Study. RESULTS: In the S8897 trial, rs3802604 and rs568727 were associated with disease-free survival and overall survival in the treated group, regardless of chemotherapy regimen. The GG genotype of rs3802604 conferred poorer overall survival (adjusted hazard ratio, 2.45; 95% confidence interval, 1.48-4.05) and disease-free survival (adjusted hazard ratio, 1.95; 95% confidence interval, 1.27-2.99) compared with the AA genotype. Similar associations were found for rs568727. In contrast, no association with either SNP was found in the untreated group. Subgroup analyses indicated that these 2 SNPs more strongly influenced outcomes in the patients who also received tamoxifen. However, the associations in the subgroup with tamoxifen treatment were not replicated in the Pathways Study, possibly owing to substantial differences between the 2 patient cohorts, such as chemotherapy regimen and length of follow-up. Results from joint analyses across these 2 cohorts were marginally significant, driven by the results in S8897. Bioinformatic analyses support potential functional disruption of the GATA3 SNPs in breast tissue. CONCLUSIONS: The present study provides some evidence for the predictive value of GATA3 genotypes for breast cancer adjuvant therapies. Future replication studies in appropriate patient populations are warranted.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores Tumorais / Mutação em Linhagem Germinativa / Polimorfismo de Nucleotídeo Único / Fator de Transcrição GATA3 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Clin Breast Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores Tumorais / Mutação em Linhagem Germinativa / Polimorfismo de Nucleotídeo Único / Fator de Transcrição GATA3 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Clin Breast Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article