Literature DB >> 23645041

Influence of survivin (BIRC5) and caspase-9 (CASP9) functional polymorphisms in renal cell carcinoma development: a study in a southern European population.

Inês Marques1, Ana L Teixeira, Marta Ferreira, Joana Assis, Francisco Lobo, Joaquina Maurício, Rui Medeiros.   

Abstract

Renal cell carcinoma (RCC) is the most common cancer of the adult kidney and its incidence and mortality has increase in the last 20 years. The disruption of cellular death is one the mechanism involved in cancer development. This process is precise regulated by apoptotic and anti-apoptotic molecules. Survivin (BIRC5) is a member of the inhibitor of apoptosis protein family and has the ability to inhibit the activation of the pro-apoptotic caspase-9 (CASP9). Thus BIRC5 and CASP9 functional polymorphisms might modulate the apoptosis and consequently RCC development. Our purpose was to investigate the potential role of BIRC5-31G/C and CASP9+83C/T functional polymorphisms in the risk for the development of RCC and metastatic disease. We studied the BIRC5-31G/C and CASP9+83C/T functional polymorphisms by PCR-RFLP and allelic discrimination using the 7300 real-time polymerase chain reaction system, respectively, in 178 RCC patients and in 305 healthy individuals. Regarding the BIRC5-31G/C polymorphism, there is a trend to an overrepresentation of CC genotype in RCC group compared with normal controls (aOR, 1.94; P=0.053). We observed, after gender stratification and age-adjustment, that BIRC5-31CC and CASP9+83CT/TT genotypes were associated with an increased risk for RCC development in the female group of our southern European study population (aOR=3.85; P=0.019; aOR=2.98; P=0.028; respectively). Concerning the waiting time for onset of metastatic disease, we observed that BIRC5-31CC homozygous developed metastasis 8 years earlier than the G carriers using a Cox proportional hazard model with gender as covariate (HR=4.9, P=0.038, P bootstrap=0.009). The Cox regression proportional hazard model was validated using bootstrap statistic with 1,000 samples of the same number of patients as the original dataset. Our results suggest that individual differences influence the susceptibility to RCC and tumor behavior. This genetic profile may help to define higher risk groups that would benefit from individualized chemoprevention strategies and therapies.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23645041     DOI: 10.1007/s11033-013-2578-3

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  50 in total

1.  Oligomerization and activation of caspase-9, induced by Apaf-1 CARD.

Authors:  Eric N Shiozaki; Jijie Chai; Yigong Shi
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

2.  Detecting genotyping error using measures of degree of Hardy-Weinberg disequilibrium.

Authors:  John Attia; Ammarin Thakkinstian; Patrick McElduff; Elizabeth Milne; Somer Dawson; Rodney J Scott; Nicholas de Klerk; Bruce Armstrong; John Thompson
Journal:  Stat Appl Genet Mol Biol       Date:  2010-01-06

3.  Survivin gene polymorphism association with papillary thyroid carcinoma.

Authors:  Nasrin Yazdani; Forough A Sayahpour; Vahid Haghpanah; Parvin Amiri; Maryam Shahrabi-Farahani; Mehran Moradi; Arienne Mirmiran; Mohammad-Taghi Khorsandi; Bagher Larijani; Leila V Mostaan; Mahsa M Amoli
Journal:  Pathol Res Pract       Date:  2012-01-30       Impact factor: 3.250

4.  Functional polymorphisms in promoter survivin gene and its association with susceptibility to bladder cancer in North Indian cohort.

Authors:  Praveen Kumar Jaiswal; Apul Goel; Anil Mandhani; Rama Devi Mittal
Journal:  Mol Biol Rep       Date:  2011-12-23       Impact factor: 2.316

5.  Resistance of human astrocytoma cells to apoptosis induced by mitochondria-damaging agents: possible implications for anticancer therapy.

Authors:  Stefania Ceruti; Alessia Mazzola; Maria P Abbracchio
Journal:  J Pharmacol Exp Ther       Date:  2005-05-05       Impact factor: 4.030

6.  Antiapoptotic effects of estrogen in normal and cancer human cervical epithelial cells.

Authors:  Qifang Wang; Xin Li; Liqin Wang; Ying-Hong Feng; Robin Zeng; George Gorodeski
Journal:  Endocrinology       Date:  2004-08-19       Impact factor: 4.736

Review 7.  Survivin, cancer networks and pathway-directed drug discovery.

Authors:  Dario C Altieri
Journal:  Nat Rev Cancer       Date:  2008-01       Impact factor: 60.716

8.  Coding polymorphisms in Casp5, Casp8 and DR4 genes may play a role in predisposition to lung cancer.

Authors:  Yulia M Ulybina; Ekatherina Sh Kuligina; Nathalia V Mitiushkina; Maxim E Rozanov; Alexandr O Ivantsov; Daria N Ponomariova; Alexandr V Togo; Evgeny V Levchenko; Vladimir A Shutkin; Sergiu I Brenister; Peter Devilee; Boris Zhivotovsky; Ari Hirvonen; Evgeny N Imyanitov
Journal:  Cancer Lett       Date:  2009-02-08       Impact factor: 8.679

Review 9.  Caspases - an update.

Authors:  Indrajit Chowdhury; Binu Tharakan; Ganapathy K Bhat
Journal:  Comp Biochem Physiol B Biochem Mol Biol       Date:  2008-07-03       Impact factor: 2.231

10.  Functional polymorphism -31C/G in the promoter of BIRC5 gene and risk of nasopharyngeal carcinoma among chinese.

Authors:  Fuchao Ma; Hongxing Zhang; Yun Zhai; Wenfeng Huang; Chang Zhao; Shengqiu Ou; Hong Zhou; Wenzhao Yuan; Zhifu Wang; Hongxue Wang; Wei Yue; Lixia Yu; Peiyao Li; Xia Xia; Mi Cai; Yang Zhang; Ying Cui; Fuchu He; Yilong Ma; Gangqiao Zhou
Journal:  PLoS One       Date:  2011-02-03       Impact factor: 3.240

View more
  7 in total

1.  Correlation between survivin genetic polymorphisms and lung cancer susceptibility.

Authors:  Guifang Guo; Qiang Zhang; Zhengang Yu; Junjuan Li; Zhaolei Ding; Juan Li; Wei Tan
Journal:  Int J Clin Exp Pathol       Date:  2015-06-01

Review 2.  Association between survivin -31G>C polymorphism and cancer risk: meta-analysis of 29 studies.

Authors:  Qin Qin; Chi Zhang; Hongcheng Zhu; Xi Yang; Liping Xu; Jia Liu; Jing Lu; Liangliang Zhan; Hongyan Cheng; Xinchen Sun
Journal:  J Cancer Res Clin Oncol       Date:  2014-02       Impact factor: 4.553

3.  Survivin rs9904341 (G>C) polymorphism contributes to cancer risk: an updated meta-analysis of 26 studies.

Authors:  Lei Xu; Xin Zhou; Lin Xu; Rong Yin
Journal:  Tumour Biol       Date:  2013-10-05

4.  DNA repair system and renal cell carcinoma prognosis: under the influence of NBS1.

Authors:  Alina Rosinha; Joana Assis; Francisca Dias; Augusto Nogueira; Deolinda Pereira; Joaquina Maurício; Ana Luísa Teixeira; Rui Medeiros
Journal:  Med Oncol       Date:  2015-10-22       Impact factor: 3.064

5.  Action of YM155 on clear cell renal cell carcinoma does not depend on survivin expression levels.

Authors:  Mei Yi Sim; Hung Huynh; Mei Lin Go; John Shyi Peng Yuen
Journal:  PLoS One       Date:  2017-06-05       Impact factor: 3.752

6.  Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.

Authors:  Travers Ching; Xun Zhu; Lana X Garmire
Journal:  PLoS Comput Biol       Date:  2018-04-10       Impact factor: 4.475

7.  Survivin polymorphisms and susceptibility to prostate cancer: A genetic association study and an in silico analysis.

Authors:  Mohammad Karimian; Younes Aftabi; Tahereh Mazoochi; Faezeh Babaei; Tahereh Khamechian; Hossein Boojari; Hossein Nikzad
Journal:  EXCLI J       Date:  2018-05-18       Impact factor: 4.068

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.