Literature DB >> 17404691

Hypoxia and adaptive landscapes in the evolution of carcinogenesis.

Robert J Gillies1, Robert A Gatenby.   

Abstract

Conceptual models of epithelial carcinogenesis typically depict a sequence of heritable changes that give rise to a population of cells possessing the hallmarks of invasive cancer. We propose the evolutionary dynamics that give rise to the phenotypic properties of malignant cells must be understood within the context of specific selection forces generated by the microenvironment. This can be accomplished by using an "inverse problem" approach in which we use observed typical phenotypic traits of primary and metastatic cancers to infer the evolutionary dynamics. This has led to the hypothesis that heritable changes in genes controlling cellular proliferation, apoptosis, and senescence, while necessary, are not usually sufficient to produce an invasive cancer. In addition to these evolutionary steps, we propose that the common observation of aerobic glycolysis in human cancers indicates, via the inverse problem analysis, that adaptation to hypoxia and acidosis must be a major component of the carcinogenic sequence. The details of the hypothesis are based on recognition that premalignant populations evolve within ducts and remain separated from their blood supply by a basement membrane. As tumor cells proliferate into the lumen, diffusion-reaction kinetics enforced by this separation result in hypoxia and acidosis in regions of the tumor the most distant from the basement membrane. This produces new evolutionary selection forces that promote constitutive upregulation of glycolysis and resistance to acid-induced toxicity. We hypothesize that these phenotypic adaptations are critical late steps in carcinogenesis conferring proliferative advantages even in normoxic conditions by allowing the population to produce an acidic environment (through aerobic glycolysis) which is toxic to other local cell populations and promotes extracellular matrix degradation, increasing invasiveness.

Entities:  

Mesh:

Year:  2007        PMID: 17404691     DOI: 10.1007/s10555-007-9065-z

Source DB:  PubMed          Journal:  Cancer Metastasis Rev        ISSN: 0167-7659            Impact factor:   9.264


  75 in total

1.  Phenotypic changes of acid-adapted cancer cells push them toward aggressiveness in their evolution in the tumor microenvironment.

Authors:  Mehdi Damaghi; Robert Gillies
Journal:  Cell Cycle       Date:  2016-09-16       Impact factor: 4.534

2.  Long-term interferon-α treatment suppresses tumor growth but promotes metastasis capacity in hepatocellular carcinoma.

Authors:  Peng-Yuan Zhuang; Ju-Bo Zhang; Wei Zhang; Xiao-Dong Zhu; Ying Liang; Hua-Xiang Xu; Yu-Quan Xiong; Ling-Qun Kong; Lu Wang; Wei-Zhong Wu; Zhao-You Tang; Lun-Xiu Qin; Hui-Chuan Sun
Journal:  J Cancer Res Clin Oncol       Date:  2010-03-06       Impact factor: 4.553

3.  Clinical and pathological staging of the cancer at the nanoscale.

Authors:  Emad Y Moawad
Journal:  Cancer Nanotechnol       Date:  2012-07-22

Review 4.  Metabolism and its sequelae in cancer evolution and therapy.

Authors:  Robert J Gillies; Robert A Gatenby
Journal:  Cancer J       Date:  2015 Mar-Apr       Impact factor: 3.360

5.  Evaluations of extracellular pH within in vivo tumors using acidoCEST MRI.

Authors:  Liu Qi Chen; Christine M Howison; Justin J Jeffery; Ian F Robey; Phillip H Kuo; Mark D Pagel
Journal:  Magn Reson Med       Date:  2013-11-26       Impact factor: 4.668

Review 6.  Mechanisms of tumor resistance to EGFR-targeted therapies.

Authors:  Elizabeth A Hopper-Borge; Rochelle E Nasto; Vladimir Ratushny; Louis M Weiner; Erica A Golemis; Igor Astsaturov
Journal:  Expert Opin Ther Targets       Date:  2009-03       Impact factor: 6.902

7.  Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Authors:  Joshua M Goldenberg; Julio Cárdenas-Rodríguez; Mark D Pagel
Journal:  Magn Reson Med       Date:  2018-09-17       Impact factor: 4.668

8.  Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis.

Authors:  Ting Wang; Daniele M Gilkes; Naoharu Takano; Lisha Xiang; Weibo Luo; Corey J Bishop; Pallavi Chaturvedi; Jordan J Green; Gregg L Semenza
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-17       Impact factor: 11.205

9.  Hypoxia-inducible factor 1 (HIF-1) promotes extracellular matrix remodeling under hypoxic conditions by inducing P4HA1, P4HA2, and PLOD2 expression in fibroblasts.

Authors:  Daniele M Gilkes; Saumendra Bajpai; Pallavi Chaturvedi; Denis Wirtz; Gregg L Semenza
Journal:  J Biol Chem       Date:  2013-02-19       Impact factor: 5.157

10.  A general reaction-diffusion model of acidity in cancer invasion.

Authors:  Jessica B McGillen; Eamonn A Gaffney; Natasha K Martin; Philip K Maini
Journal:  J Math Biol       Date:  2013-03-28       Impact factor: 2.259

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