Literature DB >> 30287910

Pharmacogenomics in epithelial ovarian cancer first-line treatment outcome: validation of GWAS-associated NRG3 rs1649942 and BRE rs7572644 variants in an independent cohort.

Ricardo Pinto1,2, Joana Assis1,3, Augusto Nogueira1,3, Carina Pereira1,4, Sara Coelho5, Mariana Brandão5, João Dias5, Sara Alves5, Deolinda Pereira5, Rui Medeiros6,7,8,9.   

Abstract

The identification of predictive biomarkers for the first-line treatment of epithelial ovarian cancer (EOC) remains a challenge. Although genome-wide association studies (GWAS) have identified several genetic polymorphisms as predictors of EOC clinical outcome, the subsequent validation has not yet been performed. This study aims to validate the influence of Neuregulin 3 (NRG3) rs1649942 and Brain and reproductive organ-expressed (TNFRSF1A modulator) (BRE) rs7572644 GWAS-identified variants in an independent cohort of EOC patients from the North region of Portugal (n = 339) submitted to first-line treatment. Polymorphism genotypes were determined by real-time PCR using validated assays. Patients carrying the NRG3 rs1649942 A allele presented a significantly longer overall survival (OS) when compared to GG-genotype patients (log-rank test, P = 0.011) in the FIGO IV stage subgroup. No impact was observed for early-stage patients or considering disease-free survival (DFS) as an outcome. For FIGO I/II stage patients, BRE rs7572644 C allele carriers exhibit a decreased OS (P = 0.014) and DFS (P = 0.032) when compared to TT-homozygous patients. Furthermore, a Multivariate Cox regression analysis revealed a three-fold increase in the risk of death (HR, 3.09; P = 0.015) and recurrence (HR, 3.33; P = 0.009) for FIGO I/II C allele carriers. No significant impact was observed for late-stage patients. The BRE rs7572644 and NRG3 rs1649942 genetic variants were validated in an independent cohort of EOC Portuguese patients, particularly in specific subgroups considering FIGO staging. Further functional post-GWAS analyses are indispensable to understand the biological mechanisms underlying the observed results.

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Year:  2018        PMID: 30287910     DOI: 10.1038/s41397-018-0056-y

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  5 in total

Review 1.  Extending the lymphoblastoid cell line model for drug combination pharmacogenomics.

Authors:  Adrian J Green; Benedict Anchang; Farida S Akhtari; David M Reif; Alison Motsinger-Reif
Journal:  Pharmacogenomics       Date:  2021-05-28       Impact factor: 2.638

2.  Implications of venous thromboembolism GWAS reported genetic makeup in the clinical outcome of ovarian cancer patients.

Authors:  Valéria Tavares; Ricardo Pinto; Joana Assis; Sara Coelho; Mariana Brandão; Sara Alves; Deolinda Pereira; Rui Medeiros
Journal:  Pharmacogenomics J       Date:  2020-11-07       Impact factor: 3.245

3.  Litter Size of Sheep (Ovis aries): Inbreeding Depression and Homozygous Regions.

Authors:  Lin Tao; Xiaoyun He; Xiangyu Wang; Ran Di; Mingxing Chu
Journal:  Genes (Basel)       Date:  2021-01-18       Impact factor: 4.096

4.  NRG1 Genetic Variant Influences the Efficacy of Androgen-Deprivation Therapy in Men with Prostate Cancer.

Authors:  Shu-Pin Huang; Yei-Tsung Chen; Lih-Chyang Chen; Cheng-Hsueh Lee; Chao-Yuan Huang; Chia-Cheng Yu; Victor C Lin; Te-Ling Lu; Bo-Ying Bao
Journal:  Biomedicines       Date:  2021-05-10

5.  Time-series clustering of cytokine expression after transarterial chemoembolization in patients with hepatocellular carcinoma.

Authors:  Feng Qi; Lingxiao Wang; Peixin Huang; Zhiying Zhao; Biwei Yang; Jinglin Xia
Journal:  Oncol Lett       Date:  2019-12-11       Impact factor: 2.967

  5 in total

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