Literature DB >> 17382429

Can loss of apoptosis protect against cancer?

Dominik Wodarz1, Natalia Komarova.   

Abstract

Cells of higher organisms can commit suicide in response to genomic alterations, a process called programmed cell death. Although it is commonly thought that the loss of programmed cell death is required for carcinogenesis, we argue that the situation is more complex and that the loss of programmed cell death can have the converse effect, preventing cancer progression. If the death rate of cancer cells is low, fewer cell divisions are required for the tumor to reach a certain size, resulting in the presence of fewer mutant cells. Therefore, the chances of overcoming potential selective barriers are reduced, rendering the failure of pathogenic progression probable. However, if there is a higher cell death rate, more cell divisions need to occur for the tumor to reach a certain size, resulting in the presence of more mutant cells and in an increased probability of overcoming selective barriers and cancer progression.

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Year:  2007        PMID: 17382429     DOI: 10.1016/j.tig.2007.03.005

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  14 in total

Review 1.  c-Myc induction of programmed cell death may contribute to carcinogenesis: a perspective inspired by several concepts of chemical carcinogenesis.

Authors:  Chenguang Wang; Yanhong Tai; Michael P Lisanti; D Joshua Liao
Journal:  Cancer Biol Ther       Date:  2011-04-01       Impact factor: 4.742

2.  PUMA-mediated apoptosis drives chemical hepatocarcinogenesis in mice.

Authors:  Wei Qiu; Xinwei Wang; Brian Leibowitz; Wancai Yang; Lin Zhang; Jian Yu
Journal:  Hepatology       Date:  2011-10       Impact factor: 17.425

3.  Evolutionary dynamics of tumor progression with random fitness values.

Authors:  Rick Durrett; Jasmine Foo; Kevin Leder; John Mayberry; Franziska Michor
Journal:  Theor Popul Biol       Date:  2010-05-19       Impact factor: 1.570

4.  Stochastic dynamics of cancer initiation.

Authors:  Jasmine Foo; Kevin Leder; Franziska Michor
Journal:  Phys Biol       Date:  2011-02-07       Impact factor: 2.583

5.  Modulatory efficacy of dieckol on xenobiotic-metabolizing enzymes, cell proliferation, apoptosis, invasion and angiogenesis during NDEA-induced rat hepatocarcinogenesis.

Authors:  Velayutham Sadeeshkumar; Arul Duraikannu; Samuthrapandian Ravichandran; Paulrasu Kodisundaram; Wilson Sylvester Fredrick; Rajagopal Gobalakrishnan
Journal:  Mol Cell Biochem       Date:  2017-04-10       Impact factor: 3.396

6.  Multifocality and recurrence risk: a quantitative model of field cancerization.

Authors:  Jasmine Foo; Kevin Leder; Marc D Ryser
Journal:  J Theor Biol       Date:  2014-04-13       Impact factor: 2.691

Review 7.  How cell death shapes cancer.

Authors:  V Labi; M Erlacher
Journal:  Cell Death Dis       Date:  2015-03-05       Impact factor: 8.469

Review 8.  Cancer systems biology: a network modeling perspective.

Authors:  Pamela K Kreeger; Douglas A Lauffenburger
Journal:  Carcinogenesis       Date:  2009-10-27       Impact factor: 4.944

9.  Immunoediting: evidence of the multifaceted role of the immune system in self-metastatic tumor growth.

Authors:  Heiko Enderling; Lynn Hlatky; Philip Hahnfeldt
Journal:  Theor Biol Med Model       Date:  2012-07-28       Impact factor: 2.432

10.  Turnover Modulates the Need for a Cost of Resistance in Adaptive Therapy.

Authors:  Philip K Maini; Alexander R A Anderson; Maximilian A R Strobl; Jeffrey West; Yannick Viossat; Mehdi Damaghi; Mark Robertson-Tessi; Joel S Brown; Robert A Gatenby
Journal:  Cancer Res       Date:  2020-11-10       Impact factor: 12.701

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