Literature DB >> 27193201

Clone wars: the evolution of therapeutic resistance in cancer.

Catherine M Worsley1, Elizabeth S Mayne1, Rob B Veale2.   

Abstract

Entities:  

Year:  2016        PMID: 27193201      PMCID: PMC4906435          DOI: 10.1093/emph/eow015

Source DB:  PubMed          Journal:  Evol Med Public Health        ISSN: 2050-6201


× No keyword cloud information.

THE FAILURE OF CHEMOTHERAPY

Cancer chemotherapy kills some tumour cells, leaving behind resistant clones with less competition for space and resources. These clones, groups of cells that share common ancestry, proliferate without restriction causing disease relapse. Tumours contain a host of cancer clones that are genetically and epigenetically different from one another [1]. These clones follow a Darwinian process of somatic selection where they compete for space and resources within their microenvironments [2]. Cancer cells acquire mutations over time that affect their fitness, giving some clones a survival advantage over others [3]. Chemotherapy itself is a selective pressure that influences tumour heterogeneity and clonal evolution. Most cancer deaths are caused by clones that are therapeutically resistant [3]. The evolution of resistant clones occurs rapidly, resulting in the appearance of new clones that are not susceptible to conventional therapy. Evolutionary principles describe the process of clonal evolution and aid in formulating novel strategies for disease management and prognosis [4].

EVOLUTIONARY PERSPECTIVES

An understanding of tumour heterogeneity and clone fitness is key to developing better treatment options. Intra-tumoural genetic variability and instability affect the process of somatic evolution [4]. Variations in the tumour microenvironment, including nutrient availability and blood supply access, drive clone evolution in both the presence and absence of chemotherapeutic drugs [3, 5]. The more genetic or environmental variation there is, the greater the likelihood that some clones will develop a survival advantage over others [4]. In some instances, resistant clones can co-operate with one another in ways that promote their survival [6], leading to faster cancer progression or increased aggressiveness. When chemo-sensitive cells are killed, space and resources become abundantly available to resistant clones, which then proliferate without inhibition by neighbouring cells. Understanding clonal evolution and the pressures that select for resistant clones can inform the development of new therapeutic approaches.

FUTURE IMPLICATIONS

With the advent of molecular data and computational frameworks, alternate strategies are being investigated to manipulate the microenvironment to control and contain tumours [5, 7]. Genetic profiling of tumour progression over time allows analysis of DNA methylation patterns and base pair mutations of clones, linking the evolution of clones to specific genetic events [8]. Single cell analysis helps in understanding tumour progression and intra-tumoural heterogeneity [9], and next-generation sequencing uncovers genetic complexities in individual clones [3, 10]. Mathematical and computational modelling provides frameworks for determining vital mutations and microenvironmental changes, bridging the gap between laboratory data and clinical information [7, 9, 11]. The strategies being investigated include using cell competition to control resistant clones, manipulating blood and nutrient supply, and using drugs that contain tumour growth instead of killing cells [7, 8, 11]. Many of these approaches are being tested in animal models, with the hope that some of these interventions will make their way into clinical practice. One promising approach is to utilize tradeoffs by manipulating clones to compromise themselves by becoming dependent on mutations that protect them from one drug, but that make them susceptible to other drugs [12].
  12 in total

Review 1.  Evolution of cooperation among tumor cells.

Authors:  Robert Axelrod; David E Axelrod; Kenneth J Pienta
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-28       Impact factor: 11.205

Review 2.  Clonal evolution in cancer.

Authors:  Mel Greaves; Carlo C Maley
Journal:  Nature       Date:  2012-01-18       Impact factor: 49.962

3.  Adaptive therapy.

Authors:  Robert A Gatenby; Ariosto S Silva; Robert J Gillies; B Roy Frieden
Journal:  Cancer Res       Date:  2009-06-01       Impact factor: 12.701

4.  Solving the puzzle of metastasis: the evolution of cell migration in neoplasms.

Authors:  Jun Chen; Kathleen Sprouffske; Qihong Huang; Carlo C Maley
Journal:  PLoS One       Date:  2011-04-27       Impact factor: 3.240

5.  Overlooking evolution: a systematic analysis of cancer relapse and therapeutic resistance research.

Authors:  C Athena Aktipis; Virginia S Y Kwan; Kathryn A Johnson; Steven L Neuberg; Carlo C Maley
Journal:  PLoS One       Date:  2011-11-17       Impact factor: 3.240

6.  The Impact of Microenvironmental Heterogeneity on the Evolution of Drug Resistance in Cancer Cells.

Authors:  Shannon M Mumenthaler; Jasmine Foo; Nathan C Choi; Nicholas Heise; Kevin Leder; David B Agus; William Pao; Franziska Michor; Parag Mallick
Journal:  Cancer Inform       Date:  2015-07-15

Review 7.  Targeting the Achilles heel of multidrug-resistant cancer by exploiting the fitness cost of resistance.

Authors:  Gergely Szakács; Matthew D Hall; Michael M Gottesman; Ahcène Boumendjel; Remy Kachadourian; Brian J Day; Hélène Baubichon-Cortay; Attilio Di Pietro
Journal:  Chem Rev       Date:  2014-04-23       Impact factor: 60.622

Review 8.  Cancer evolution: mathematical models and computational inference.

Authors:  Niko Beerenwinkel; Roland F Schwarz; Moritz Gerstung; Florian Markowetz
Journal:  Syst Biol       Date:  2014-10-07       Impact factor: 15.683

9.  Preventive evolutionary medicine of cancers.

Authors:  Michael E Hochberg; Frédéric Thomas; Eric Assenat; Urszula Hibner
Journal:  Evol Appl       Date:  2012-12-05       Impact factor: 5.183

10.  Evolutionary foundations for cancer biology.

Authors:  C Athena Aktipis; Randolph M Nesse
Journal:  Evol Appl       Date:  2013-01-21       Impact factor: 5.183

View more
  4 in total

1.  In Silico Investigations of Multi-Drug Adaptive Therapy Protocols.

Authors:  Daniel S Thomas; Luis H Cisneros; Alexander R A Anderson; Carlo C Maley
Journal:  Cancers (Basel)       Date:  2022-05-30       Impact factor: 6.575

2.  Impact of chemotherapy on the expression of claudins and cadherins in invasive breast cancer.

Authors:  Helena Skálová; Nikola Hájková; Barbora Majerová; Michaela Bártů; Ctibor Povýšil; Ivana Tichá
Journal:  Exp Ther Med       Date:  2019-08-20       Impact factor: 2.447

3.  Analysis of neuroendocrine clones in NSCLCs using an immuno-guided laser-capture microdissection-based approach.

Authors:  Elisa Baldelli; Martina Mandarano; Guido Bellezza; Emanuel F Petricoin; Mariaelena Pierobon
Journal:  Cell Rep Methods       Date:  2022-08-22

Review 4.  Bruton's Tyrosine Kinase Targeting in Multiple Myeloma.

Authors:  Max Von Suskil; Kazi Nasrin Sultana; Weam Othman Elbezanti; Omar S Al-Odat; Robert Chitren; Amit K Tiwari; Kishore B Challagundla; Sandeep Kumar Srivastava; Subash C Jonnalagadda; Tulin Budak-Alpdogan; Manoj K Pandey
Journal:  Int J Mol Sci       Date:  2021-05-27       Impact factor: 5.923

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.