Literature DB >> 20862743

Cancer: more of polygenic disease and less of multiple mutations? A quantitative viewpoint.

Anders Bredberg1.   

Abstract

The focus of cancer research is on cancer-specific mutations, with most clinical trials involving targeted drugs. Huge numbers of DNA lesions and tumor resistance events, in each of the >10¹³ cells of a human individual, form a striking contrast to the low, and also very narrow, cancer incidence window (10⁻¹ -10⁰). A detailed consideration of these quantitative observations seems to question the present paradigm, while suggesting that a systemic regulatory network mechanism is a stronger determinant for overt cancer disease, as compared with cancer-specific gene products. If we shall ever achieve major improvements in survival, we must gain understanding of this systemic network, rather than targeting therapy to a limited set of molecules or mutations. This may give us new opportunities for development of highly potent therapeutic tools.
Copyright © 2010 American Cancer Society.

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Year:  2010        PMID: 20862743     DOI: 10.1002/cncr.25440

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  31 in total

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2.  Glutathione S-Transferase P1 313 (A > G) Ile105Val Polymorphism Contributes to Cancer Susceptibility in Indian Population: A Meta-analysis of 39 Case-Control Studies.

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3.  Association between STAT3 polymorphisms and cancer risk: a meta-analysis.

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Review 4.  A systematic review and meta-analysis of the association between OGG1 Ser326Cys polymorphism and cancers.

Authors:  Ping-Ting Zhou; Bo Li; Jun Ji; Meng-Meng Wang; Chun-Fang Gao
Journal:  Med Oncol       Date:  2015-01-15       Impact factor: 3.064

5.  Association between matrix metalloproteinase 1 -1607 1G>2G polymorphism and cancer risk: a meta-analysis including 19706 subjects.

Authors:  Guoda Han; Zhijiang Wei; Zhiliang Lu; Haibin Cui; Xiyong Bai; Huai'e Ge; Wei Zhang
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Review 6.  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

7.  Association between the cytotoxic T-lymphocyte antigen 4-318C/T polymorphism and malignant tumor risk.

Authors:  Taiming Li; Chengdi Wang; Zhenju Ren; Y I Ji; Chang Xu; Bing Xiao; Min Liu
Journal:  Biomed Rep       Date:  2016-05-19

8.  NAT1 polymorphisms and cancer risk: a systematic review and meta-analysis.

Authors:  Kunyi Zhang; Lijuan Gao; Yuqi Wu; Jianyi Chen; Chengguang Lin; Shaohua Liang; Jianxin Su; Jinming Ye; Xuyu He
Journal:  Int J Clin Exp Med       Date:  2015-06-15

9.  The association between CD14-260C/T polymorphism and malignant tumor risk: a meta-analysis of 5,603 participants.

Authors:  Xiang Tong; Zhenzhen Li; Xiaowei Fu; Kai Zhou; Yao Wu; Yonggang Zhang; Hong Fan
Journal:  Tumour Biol       Date:  2014-05-29

10.  Positive correlation between interleukin-1 receptor antagonist gene 86bp VNTR polymorphism and colorectal cancer susceptibility: a case-control study.

Authors:  Mostafa Ibrahimi; Maryam Moossavi; Ehsan Nazemalhosseini Mojarad; Mahsa Musavi; Milad Mohammadoo-Khorasani; Zahra Shahsavari
Journal:  Immunol Res       Date:  2019-02       Impact factor: 2.829

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