Literature DB >> 27497070

Association of genetic polymorphisms with survival of pancreatic ductal adenocarcinoma patients.

Cosmeri Rizzato1, Daniele Campa2, Renata Talar-Wojnarowska3, Christopher Halloran4, Juozas Kupcinskas5, Giovanni Butturini6, Beatrice Mohelníková-Duchoňová7, Cosimo Sperti8, Christine Tjaden9, Paula Ghaneh4, Thilo Hackert9, Niccola Funel10, Nathalia Giese9, Francesca Tavano11, Raffaele Pezzilli12, Mariangela Pedata13, Claudio Pasquali8, Maria Gazouli14, Andrea Mambrini13, Pavel Souček7, Pierluigi di Sebastiano15, Gabriele Capurso16, Maurizio Cantore13, Martin Oliverius17, Rienk Offringa18, Ewa Małecka-Panas3, Oliver Strobel9, Aldo Scarpa19, Federico Canzian20.   

Abstract

Germline genetic variability might contribute, at least partially, to the survival of pancreatic ductal adenocarcinoma (PDAC) patients. Two recently performed genome-wide association studies (GWAS) on PDAC overall survival (OS) suggested (P < 10(-5)) the association between 30 genomic regions and PDAC OS. With the aim to highlight the true associations within these regions, we analyzed 44 single-nucleotide polymorphisms (SNPs) in the 30 candidate regions in 1722 PDAC patients within the PANcreatic Disease ReseArch (PANDoRA) consortium. We observed statistically significant associations for five of the selected regions. One association in the CTNNA2 gene on chromosome 2p12 [rs1567532, hazard ratio (HR) = 1.75, 95% confidence interval (CI) 1.19-2.58, P = 0.005 for homozygotes for the minor allele] and one in the last intron of the RUNX2 gene on chromosome 6p21 (rs12209785, HR = 0.88, 95% CI 0.80-0.98, P = 0.014 for heterozygotes) are of particular relevance. These loci do not coincide with those that showed the strongest associations in the previous GWAS. In silico analysis strongly suggested a possible mechanistic link between these two SNPs and pancreatic cancer survival. Functional studies are warranted to confirm the link between these genes (or other genes mapping in those regions) and PDAC prognosis in order to understand whether these variants may have the potential to impact treatment decisions and design of clinical trials.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27497070     DOI: 10.1093/carcin/bgw080

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  4 in total

1.  Genetic polymorphisms associated with pancreatic cancer survival: a genome-wide association study.

Authors:  Hongwei Tang; Peng Wei; Ping Chang; Yanan Li; Dong Yan; Chang Liu; Manal Hassan; Donghui Li
Journal:  Int J Cancer       Date:  2017-05-15       Impact factor: 7.396

2.  Cuprotosis-Related Genes: Predicting Prognosis and Immunotherapy Sensitivity in Pancreatic Cancer Patients.

Authors:  Yingkun Xu; Han Li; Ailin Lan; Qiulin Wu; Zhenrong Tang; Dan Shu; Zhaofu Tan; Xin Liu; Yang Liu; Shengchun Liu
Journal:  J Oncol       Date:  2022-09-09       Impact factor: 4.501

Review 3.  Small Molecules in Rare Tumors: Emerging Role of MicroRNAs in GIST.

Authors:  Juozas Kupcinskas
Journal:  Int J Mol Sci       Date:  2018-01-30       Impact factor: 5.923

4.  Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence.

Authors:  Jinling Yan; Peiluan Li; Rong Gao; Ying Li; Luonan Chen
Journal:  Front Oncol       Date:  2021-06-04       Impact factor: 6.244

  4 in total

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