Literature DB >> 11720736

Tumor suppressor genes: at the crossroads of molecular carcinogenesis, molecular epidemiology and human risk assessment.

S P Hussain1, L J Hofseth, C C Harris.   

Abstract

The p53 tumor suppressor gene is mutated in about half of all human cancer cases. The p53 protein modulates multiple cellular functions, such as gene transcription, DNA synthesis and repair, cell cycle arrest, senescence, and apoptosis. Mutations in the p53 gene can abrogate these functions and may lead to genetic instability and progress to cancer. The molecular archeology of the p53 mutation spectrum generates hypotheses concerning the etiology and molecular pathogenesis of cancer. The spectrum of somatic mutations in the p53 gene implicates environmental carcinogens and endogenous processes in the etiology of human cancer. The presence of a characteristic p53 mutation also can manifest a molecular link between exposure to a particular carcinogen and a specific type of human cancer, e.g. aflatoxin B1 (AFB1) exposure and codon 249ser mutations in hepatocellular carcinoma, ultraviolet (UV) exposure and CC to TT tandem mutations in skin cancer, and cigarette smoke and the prevalence of G to T transversions in lung cancer. Although several different exogenous carcinogens have been shown to selectively target p53, evidence supporting the endogenous insult of p53 from oxyradical and nitrogen-oxyradicals is accumulating. p53 mutations can be a biomarker of carcinogen effect. Determining the characteristic p53 mutation load in nontumorous tissue, with a highly sensitive mutation assay, can indicate a specific carcinogen exposure and also may help in identifying individuals at an increased risk of cancer.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11720736     DOI: 10.1016/s0169-5002(01)00339-7

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  8 in total

1.  Promoter hypermethylation of p73 and p53 genes in cervical cancer patients among north Indian population.

Authors:  Abhimanyu Kumar Jha; Mohsen Nikbakht; Veena Jain; Alka Sehgal; Neena Capalash; Jagdeep Kaur
Journal:  Mol Biol Rep       Date:  2012-06-24       Impact factor: 2.316

2.  Association of habitual smoking and drinking with single nucleotide polymorphism (SNP) in 40 candidate genes: data from random population-based Japanese samples.

Authors:  Ying Liu; Kimio Yoshimura; Tomoyuki Hanaoka; Shumpei Ohnami; Sumiko Ohnami; Takashi Kohno; Teruhiko Yoshida; Hiromi Sakamoto; Tomotaka Sobue; Shoichiro Tsugane
Journal:  J Hum Genet       Date:  2005-01-15       Impact factor: 3.172

Review 3.  Squamous Cell Cancers: A Unified Perspective on Biology and Genetics.

Authors:  G Paolo Dotto; Anil K Rustgi
Journal:  Cancer Cell       Date:  2016-05-09       Impact factor: 31.743

4.  Differences in molecular epidemiology of lung cancer among ethnicities (Asian vs. Caucasian).

Authors:  Motohiro Izumi; Tomohiro Suzumura; Koichi Ogawa; Yoshiya Matsumoto; Kenji Sawa; Naoki Yoshimoto; Yoko Tani; Tetsuya Watanabe; Hiroyasu Kaneda; Shigeki Mitsuoka; Kazuhisa Asai; Tomoya Kawaguchi
Journal:  J Thorac Dis       Date:  2020-07       Impact factor: 2.895

Review 5.  The role of the tumour suppressor p33 ING1b in human neoplasia.

Authors:  G S Nouman; J J Anderson; J Lunec; B Angus
Journal:  J Clin Pathol       Date:  2003-07       Impact factor: 3.411

Review 6.  p53 mutations as fingerprints for aristolochic acid: an environmental carcinogen in endemic (Balkan) nephropathy.

Authors:  Neda Slade; Ute M Moll; Branko Brdar; Arijana Zorić; Bojan Jelaković
Journal:  Mutat Res       Date:  2009-02-04       Impact factor: 2.433

7.  Targeting HSP90 Inhibits Proliferation and Induces Apoptosis Through AKT1/ERK Pathway in Lung Cancer.

Authors:  Mengyuan Niu; Bin Zhang; Li Li; Zhonglan Su; Wenyuan Pu; Chen Zhao; Lulu Wei; Panpan Lian; Renwei Lu; Ranran Wang; Junaid Wazir; Qian Gao; Shiyu Song; Hongwei Wang
Journal:  Front Pharmacol       Date:  2022-01-14       Impact factor: 5.810

8.  Determinants of protein function revealed by combinatorial entropy optimization.

Authors:  Boris Reva; Yevgeniy Antipin; Chris Sander
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.