Literature DB >> 21115003

TP53 polymorphisms in gliomas from Indian patients: Study of codon 72 genotype, rs1642785, rs1800370 and 16 base pair insertion in intron-3.

Prerana Jha1, Pankaj Jha, Pankaj Pathak, Kunzang Chosdol, Vaishali Suri, Mehar Chand Sharma, Guresh Kumar, Manmohan Singh, Ashok Kumar Mahapatra, Chitra Sarkar.   

Abstract

Several single nucleotide polymorphisms of the TP53 gene have been reported, amongst which polymorphism in codon 72 (rs1042522) has received significant attention and shown to be associated with disease susceptibility in different cancer types. However, there are variable reports on this polymorphism in gliomas from worldwide with inconsistent results. In addition, the implications of other polymorphic loci are not much explored in gliomas. Hence, in the present study the TP53 sequence was analyzed for all polymorphism and mutations in a total of 84 gliomas of different types and grades from patients of Indian origin. The complete sequence of all coding exons (2 to 11) and introns 2, 3, 5 and 8 of TP53 gene were studied while for introns 1, 4, 6, 7, 9 and 10, only exon flanking regions could be studied. The polymorphic loci were compared with control population. In addition to the well known codon 72 polymorphism (rs1042522), three other polymorphisms rs1642785, rs1800370 and a 16 base pair insertion in intron-3 were found. At codon 72, our study showed higher Arg/Arg genotype in gliomas compared to normal population (38% versus 13%). The Arg allele frequency in glioma patients was comparatively higher than controls (0.55 versus 0.45; P=0.037). The Arg allele frequency was also high in adult glioblastomas compared to paediatric counterparts (0.55 versus 0.36). However, there was no significant association of TP53 mutations with any genotype of codon 72. At rs1642785, the G allele frequency was significantly higher in gliomas than in control population (0.55 versus 0.36, P=0.005). The genotype at a 16 base pair insertion in intron-3 was almost similar in case and control. However, the polymorphism at rs1800370 was exclusive to gliomas. This is the first report of TP53 gene polymorphism in glioma patients from India. Our study also delineates the frequency of four polymorphisms in gliomas for the first time. The codon 72 variant (rs1042522) and rs1642785 polymorphisms possibly poses risk to glioma development in Indian population. However, the functional significance of these polymorphism needs further elucidation.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21115003     DOI: 10.1016/j.yexmp.2010.11.002

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  15 in total

1.  Quantitative assessment of the association between TP53 Arg72Pro polymorphism and risk of glioma.

Authors:  Feng Zhang; Danni Li; Yanshuang Li; Haixia Li; Jinbo Sun; Xianfeng Li; Xiaohong Li
Journal:  Tumour Biol       Date:  2013-09-18

2.  TP53 codon 72 polymorphism and glioma risk: A meta-analysis.

Authors:  Minghan Shi; Ruishan Huang; Chunying Pei; Xiuzhi Jia; Chuanlu Jiang; Huan Ren
Journal:  Oncol Lett       Date:  2011-12-12       Impact factor: 2.967

3.  Impact of G-quadruplex structures and intronic polymorphisms rs17878362 and rs1642785 on basal and ionizing radiation-induced expression of alternative p53 transcripts.

Authors:  Laury Perriaud; Virginie Marcel; Charlotte Sagne; Vincent Favaudon; Aurore Guédin; Aurore De Rache; Corinne Guetta; Florian Hamon; Marie-Paule Teulade-Fichou; Pierre Hainaut; Jean-Louis Mergny; Janet Hall
Journal:  Carcinogenesis       Date:  2014-09-30       Impact factor: 4.944

4.  HIF-1α genetic variants and protein expression confer the susceptibility and prognosis of gliomas.

Authors:  Liang Yi; Xuwei Hou; Ji Zhou; Lunshan Xu; Qing Ouyang; Hong Liang; Zhaocong Zheng; Hongjie Chen; Minhui Xu
Journal:  Neuromolecular Med       Date:  2014-06-15       Impact factor: 3.843

Review 5.  Evaluation of the p53 Arg72Pro polymorphism and its association with cancer risk: a HuGE review and meta-analysis.

Authors:  Mohammad Haroon Khan; Aftab Khalil; Hamid Rashid
Journal:  Genet Res (Camb)       Date:  2015-04-17       Impact factor: 1.588

6.  Prognostic value of the TP53 Arg72Pro single-nucleotide polymorphism and susceptibility to medulloblastoma in a cohort of Brazilian patients.

Authors:  Raimundo M Carvalho; Giovanny R Pinto; France K N Yoshioka; Patrícia D L Lima; Carolina R T Souza; Adriana C Guimarães; Letícia M Lamarão; Juan A Rey; Rommel R Burbano
Journal:  J Neurooncol       Date:  2012-08-11       Impact factor: 4.130

7.  P53 codon 72 Arg/Pro polymorphism and glioma risk: an updated meta-analysis.

Authors:  Fang He; Yi Xia; Huafeng Liu; Jin Li; Chao Wang
Journal:  Tumour Biol       Date:  2013-07-17

8.  Mutational analysis of TP53 gene in Tunisian familial hematological malignancies and sporadic acute leukemia cases.

Authors:  Walid Sabri Hamadou; Sawsen Besbes; Violaine Bourdon; Yosra Ben Youssef; Mohamed Adnène Laatiri; Testsuro Noguchi; Abderrahim Khélif; Hagay Sobol; Zohra Soua
Journal:  Fam Cancer       Date:  2017-01       Impact factor: 2.375

9.  Multiple breast cancer cell-lines derived from a single tumor differ in their molecular characteristics and tumorigenic potential.

Authors:  Goar Mosoyan; Chandandeep Nagi; Svetlana Marukian; Avelino Teixeira; Anait Simonian; Lois Resnick-Silverman; Analisa DiFeo; Dean Johnston; Sandra R Reynolds; Daniel F Roses; Arevik Mosoian
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

10.  Landscape of Germline Genetic Variants in AGT, MGMT, and TP53 in Mexican Adult Patients with Astrocytoma.

Authors:  José Alberto Carlos-Escalante; Liliana Gómez-Flores-Ramos; Xiaopeng Bian; Alexander Perdomo-Pantoja; Kelvin César de Andrade; Sonia Iliana Mejía-Pérez; Bernardo Cacho-Díaz; Rodrigo González-Barrios; Nancy Reynoso-Noverón; Ernesto Soto-Reyes; Thalía Estefanía Sánchez-Correa; Lissania Guerra-Calderas; Chunhua Yan; Qingrong Chen; Clementina Castro-Hernández; Silvia Vidal-Millán; Lucía Taja-Chayeb; Olga Gutiérrez; Rosa María Álvarez-Gómez; Juan Luis Gómez-Amador; Patricia Ostrosky-Wegman; Alejandro Mohar-Betancourt; Luis Alonso Herrera-Montalvo; Teresa Corona; Daoud Meerzaman; Talia Wegman-Ostrosky
Journal:  Cell Mol Neurobiol       Date:  2020-06-13       Impact factor: 5.046

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