Literature DB >> 24461648

Association between genetic polymorphisms in apoptosis-related genes and risk of cutaneous melanoma in women and men.

Cristiane Oliveira1, Gustavo Jacob Lourenço1, José Augusto Rinck-Junior1, Maria Letícia Cintra2, Aparecida Machado Moraes3, Carmen Silvia Passos Lima4.   

Abstract

BACKGROUND: The P53 Arg72Pro, MDM2 c.+309T>G, BAX c.-248G>A, and BCL2 c.-717C>A polymorphisms have variable roles in the apoptosis pathways.
OBJECTIVE: To clarify the roles of these polymorphisms in the risk for cutaneous melanoma (CM).
METHODS: Genomic DNA of 200 CM patients and 215 controls was analyzed by PCR-RFLP.
RESULTS: In women, the frequencies of BAX GG (83.0% vs. 71.0%, P=0.04), BCL2 AA (32.0% vs. 15.0%, P=0.003), P53 ArgArg plus BAX GG (84.9% vs. 63.2%, P=0.01), P53 ArgArg plus BCL2 AA (37.0% vs. 13.1%, P=0.003), BAX GG plus BCL2 AA (70.3% vs. 33.3%, P=0.001), MDM2 GG plus BAX GG plus BCL2 AA (27.3% vs. 3.7%, P=0.03), and P53 ArgArg plus MDM2 GG plus BAX GG plus BCL2 AA (33.3% vs. 5.6%, P=0.04) genotypes were higher in patients than in controls. Female carriers of the respective genotypes were under 1.98 (95% CI: 1.01-3.91), 2.87 (95% CI: 1.43-5.77), 3.48 (95% CI: 1.34-9.04), 4.23 (95% CI: 1.63-10.96), 6.04 (95% CI: 2.10-17.37), 25.61 (95% CI: 1.29-507.24), and 25.69 (95% CI: 1.11-593.59)-fold increased risks for CM than others, respectively. In men, the frequencies of BCL2 CA+AA (83.0% vs. 67.6%, P=0.01) and MDM2 TG+GG plus BCL2 CA+AA (94.2% vs. 68.3%, P=0.003) genotypes were higher in patients than in controls. Male carriers of the respective genotypes were under 2.43 (95% CI: 1.23-4.82) and 9.22 (95% CI: 2.16-39.31)-fold increased CM risks than others, respectively.
CONCLUSION: The data suggest for the first time that P53 Arg72Pro, MDM2 c.+309T>G, BAX c.-248G>A, and BCL2 c.-717C>A polymorphisms, enrolled in apoptosis pathways, constitute distinct determinants of CM in women and men.
Copyright © 2014 Japanese Society for Investigative Dermatology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Apoptosis; Genetic polymorphisms; Melanoma; Risk

Mesh:

Substances:

Year:  2014        PMID: 24461648     DOI: 10.1016/j.jdermsci.2013.12.010

Source DB:  PubMed          Journal:  J Dermatol Sci        ISSN: 0923-1811            Impact factor:   4.563


  5 in total

1.  Polymorphisms in apoptosis-related genes in cutaneous melanoma prognosis: sex disparity.

Authors:  Cristiane Oliveira; Gustavo Jacob Lourenço; José Augusto Rinck-Junior; Aparecida Machado de Moraes; Carmen Silvia Passos Lima
Journal:  Med Oncol       Date:  2017-01-03       Impact factor: 3.064

2.  BAX -248 G>A and BCL2 -938 C>A Variant Lowers the Survival in Patients with Nasopharyngeal Carcinoma and Could be Associated with Tissue-Specific Malignancies: A Multi-Method Approach.

Authors:  Koustav Chatterjee; Saikat De; Sankar Deb Roy; Sushil Kumar Sahu; Arindom Chakraborty; Sandeep Ghatak; Nilanjana Das; Sudipa Mal; Nabanita Roy Chattopadhyay; Piyanki Das; R Rajendra Reddy; Syamantak Mukherjee; Ashok Kumar Das; Zoreng Puii; Eric Zomawia; Yengkhom Indibor Singh; Sam Tsering; Komri Riba; Shanmugam Rajasubramaniam; Amol Ratnakar Suryawanshi; Tathagata Choudhuri
Journal:  Asian Pac J Cancer Prev       Date:  2021-04-01

3.  Genetic polymorphisms of Bcl-2 promoter in cancer susceptibility and prognosis: a meta-analysis.

Authors:  Zhongqiang Yao; Binhui Yang; Zhongqiu Liu; Wei Li; Qihua He; Xingchun Peng
Journal:  Oncotarget       Date:  2017-04-11

Review 4.  Prognostic value and susceptibility of BAX rs4645878 polymorphism in cancer: A systematic review and meta-analysis.

Authors:  Ye Feng; Xianglei Chen; Yi Zheng; Qiao Liu; Haiwen Chen; Yuanhua Cai; Lixia Cao; Xiaolin Lai; Lili Pan; Yang Li; Shao-Yuan Wang
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

5.  The complementary effect of rs1042522 in TP53 and rs1805007 in MC1R is associated with an elevated risk of cutaneous melanoma in Latvian population.

Authors:  Aija Ozola; Dace Ruklisa; Dace Pjanova
Journal:  Oncol Lett       Date:  2019-09-20       Impact factor: 2.967

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.