Literature DB >> 28052327

Tissue disruption increases stochastic gene expression thus producing tumors: Cancer initiation without driver mutation.

Jean-Pascal Capp1.   

Abstract

Cancer research produced many paradoxical results in recent years. The reductionist approach now shows its limits. Considering the origin of the disease at the tissue level and increased stochastic gene expression (SGE) as a driving force, while admitting a role for genetic alterations in cancer progression, might solve these contradictions. Undifferentiated cells are characterized by open and accessible chromatin generating global and highly SGE (high expression noise) which is a hallmark of pluripotency, while differentiation is associated with progressive chromatin closing and decreased noise. Cell-cell interactions stabilize phenotypes and homogenize expression patterns from cell-to-cell during development and differentiation, while disruption of these interactions is responsible for increased expression noise that might be the causal event in cancer by producing phenotypic plasticity. It would produce cancer stem cells defined as cells exhibiting increased SGE that are no more controlled by the microenvironment. Following tissue disruption, differentiation and/or quiescence would no longer be maintained because of SGE. Genetic and epigenetic instabilities would necessary appear, increasing the risk of malignant transformation. The classical perspective is reversed: disruption of the tissue equilibrium is the initiator event, and genetic alterations are tumor "promoters." The major role of genetic modifications in cancer progression is not denied, but microenvironmental and epigenetic alterations would precede the emergence of cancer. If mutagenic exposure, cancer predisposition or spontaneous mutations have already produced genetic alterations, precancerous cells would become more aggressive more rapidly, increasing the probability that a tumor forms, but only if the correct microenvironment is not maintained.
© 2017 UICC.

Entities:  

Keywords:  cancer model; cancer stem cells; gene expression noise; microenvironment; tumorigenesis

Mesh:

Year:  2017        PMID: 28052327     DOI: 10.1002/ijc.30596

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  3 in total

Review 1.  Group phenotypic composition in cancer.

Authors:  Jean-Pascal Capp; James DeGregori; Aurora M Nedelcu; Beata Ujvari; Andriy Marusyk; Robert Gatenby; Frédéric Thomas; Antoine M Dujon; Justine Boutry; Pascal Pujol; Catherine Alix-Panabières; Rodrigo Hamede; Benjamin Roche
Journal:  Elife       Date:  2021-03-30       Impact factor: 8.140

Review 2.  Does Cancer Biology Rely on Parrondo's Principles?

Authors:  Jean-Pascal Capp; Aurora M Nedelcu; Antoine M Dujon; Benjamin Roche; Francesco Catania; Beata Ujvari; Catherine Alix-Panabières; Frédéric Thomas
Journal:  Cancers (Basel)       Date:  2021-05-03       Impact factor: 6.639

3.  Multiple Myeloma Exemplifies a Model of Cancer Based on Tissue Disruption as the Initiator Event.

Authors:  Jean-Pascal Capp; Régis Bataille
Journal:  Front Oncol       Date:  2018-09-10       Impact factor: 6.244

  3 in total

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