Literature DB >> 25537218

FGFR3 and TP53 mutations in a prospective cohort of Belarusian bladder cancer patients.

M P Smal1, A I Rolevich2, S L Polyakov2, S A Krasny2, R I Goncharova1.   

Abstract

AIM: The aim of this study was to determine the frequencies of FGFR3 and TP53 mutations in a prospective cohort of 150 bladder cancer patients and to assess the relationship between their mutational status and clinicopathological variables.
MATERIALS AND METHODS: The FGFR3 and TP53 mutations were detected by the SNaPshot method and PCR-single-strand conformational polymorphism analysis followed by DNA sequencing.
RESULTS: The activating FGFR3 mutations were found in 71 (47.3%) whereas TP53 mutations were observed in 31 (20.7%) urothelial carcinomas. FGFR3-mutant tumors significantly correlated with lower tumor stage and grade, papillary form of bladder cancer and the absence of metastases while TP53-mutant tumors were strongly associated with higher tumor stage and grade as well as the presence of metastasis. We also found significant inverse correlation between FGFR3 mutations and TP53 alterations in urothelial carcinomas (p=0.03). Four possible genotypes were observed in the whole studied cohort, namely FGFR3mut/TP53wt (41.3%), FGFR3wt/TP53wt (38%), FGFR3wt/TP53mut (14.7%), and FGFR3mut/TP53mut (6%). Tumors with FGFR3wt/TP53wt genotype comprised the subgroup, in which all stages and grades were equally distributed.
CONCLUSIONS: Our findings confirm the alternative role of FGFR3 and TP53 mutations in the development of bladder cancer. Together these two genetic markers are attributed to 62% of the tumors studied. Tumors with both wild type genes included urothelial carcinomas of all stages and grades and may develop through another genetic pathway. To elucidate complete molecular profile of bladder tumors further additional studies are needed.

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Year:  2014        PMID: 25537218

Source DB:  PubMed          Journal:  Exp Oncol        ISSN: 1812-9269


  6 in total

1.  Molecular investigation of FGFR3 gene mutation and its correlation with clinicopathological findings in Indian bladder cancer patients.

Authors:  Firoz Ahmad; Vishal Mahal; Geeta Verma; Simi Bhatia; Bibhu Ranjan Das
Journal:  Cancer Rep (Hoboken)       Date:  2018-09-17

2.  Correlating bladder cancer risk genes with their targeting microRNAs using MMiRNA-Tar.

Authors:  Yang Liu; Steve Baker; Hui Jiang; Gary Stuart; Yongsheng Bai
Journal:  Genomics Proteomics Bioinformatics       Date:  2015-07-10       Impact factor: 7.691

3.  Development of RNA-FISH Assay for Detection of Oncogenic FGFR3-TACC3 Fusion Genes in FFPE Samples.

Authors:  Masahiro Kurobe; Takahiro Kojima; Kouichi Nishimura; Shuya Kandori; Takashi Kawahara; Takayuki Yoshino; Satoshi Ueno; Yuichi Iizumi; Koji Mitsuzuka; Yoichi Arai; Hiroshi Tsuruta; Tomonori Habuchi; Takashi Kobayashi; Yoshiyuki Matsui; Osamu Ogawa; Mikio Sugimoto; Yoshiyuki Kakehi; Yoshiyuki Nagumo; Masakazu Tsutsumi; Takehiro Oikawa; Koji Kikuchi; Hiroyuki Nishiyama
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

Review 4.  Role of Non-Coding RNAs in the Etiology of Bladder Cancer.

Authors:  Caterina Gulìa; Stefano Baldassarra; Fabrizio Signore; Giuliano Rigon; Valerio Pizzuti; Marco Gaffi; Vito Briganti; Alessandro Porrello; Roberto Piergentili
Journal:  Genes (Basel)       Date:  2017-11-22       Impact factor: 4.096

5.  A TP53-based immune prognostic model for muscle-invasive bladder cancer.

Authors:  Hongyan Li; Huayi Lu; Wanli Cui; Yufan Huang; Xuefei Jin
Journal:  Aging (Albany NY)       Date:  2020-12-15       Impact factor: 5.682

6.  The Cellular Response to Oxidatively Induced DNA Damage and Polymorphism of Some DNA Repair Genes Associated with Clinicopathological Features of Bladder Cancer.

Authors:  Nataliya V Savina; Nataliya V Nikitchenko; Tatyana D Kuzhir; Alexander I Rolevich; Sergei A Krasny; Roza I Goncharova
Journal:  Oxid Med Cell Longev       Date:  2015-11-16       Impact factor: 6.543

  6 in total

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