Literature DB >> 25259902

Evolutionary strategy for systemic therapy of metastatic breast cancer: balancing response with suppression of resistance.

Yoonseok Kam1, Tuhin Das, Susan Minton, Robert A Gatenby.   

Abstract

Conventional systemic therapy for disseminated breast cancer is based on the general assumption that the greatest patient benefit is achieved by killing the maximum number of tumor cells. While this strategy often achieves a significant reduction in tumor burden, most patients with metastatic breast cancer ultimately die from their disease as therapy fails because tumor cells evolve resistance. We propose that the conventional maximum dose/maximum cell kill cancer therapy, when viewed from an evolutionary vantage, is suboptimal and likely even harmful as it accelerates evolution and growth of the resistant phenotypes that ultimately cause patient death. As an alternative, we are investigating evolutionary therapeutic strategies that shift the treatment goal from killing the maximum number of cancer cells to maximizing patient survival. Here we introduce two novel approaches for systemic therapy for metastatic breast cancer, considering the evolutionary nature of tumor progression; adaptive therapy and double-bind therapy.

Entities:  

Keywords:  adaptive therapy; breast cancer; chemotherapy; double-bind therapy; drug resistance; estrogen; hormonal therapy; tumor evolution

Mesh:

Substances:

Year:  2014        PMID: 25259902      PMCID: PMC4258899          DOI: 10.2217/whe.14.23

Source DB:  PubMed          Journal:  Womens Health (Lond)        ISSN: 1745-5057


  36 in total

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3.  A kinome-wide screen identifies the insulin/IGF-I receptor pathway as a mechanism of escape from hormone dependence in breast cancer.

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Journal:  Cancer Res       Date:  2011-09-09       Impact factor: 12.701

4.  Glycolysis in P-glycoprotein-overexpressing human tumor cell lines. Effects of resistance-modifying agents.

Authors:  H J Broxterman; H M Pinedo; C M Kuiper; G J Schuurhuis; J Lankelma
Journal:  FEBS Lett       Date:  1989-04-24       Impact factor: 4.124

5.  Biological reprogramming in acquired resistance to endocrine therapy of breast cancer.

Authors:  H Aguilar; X Solé; N Bonifaci; J Serra-Musach; A Islam; N López-Bigas; M Méndez-Pertuz; R L Beijersbergen; C Lázaro; A Urruticoechea; M A Pujana
Journal:  Oncogene       Date:  2010-08-16       Impact factor: 9.867

6.  Preexistence and clonal selection of MET amplification in EGFR mutant NSCLC.

Authors:  Alexa B Turke; Kreshnik Zejnullahu; Yi-Long Wu; Youngchul Song; Dora Dias-Santagata; Eugene Lifshits; Luca Toschi; Andrew Rogers; Tony Mok; Lecia Sequist; Neal I Lindeman; Carly Murphy; Sara Akhavanfard; Beow Y Yeap; Yun Xiao; Marzia Capelletti; A John Iafrate; Charles Lee; James G Christensen; Jeffrey A Engelman; Pasi A Jänne
Journal:  Cancer Cell       Date:  2010-01-19       Impact factor: 31.743

Review 7.  Low-dose estrogen therapy to reverse acquired antihormonal resistance in the treatment of breast cancer.

Authors:  Ramona F Swaby; V Craig Jordan
Journal:  Clin Breast Cancer       Date:  2008-04       Impact factor: 3.225

8.  ABC transporters in cancer: more than just drug efflux pumps.

Authors:  Jamie I Fletcher; Michelle Haber; Michelle J Henderson; Murray D Norris
Journal:  Nat Rev Cancer       Date:  2010-01-15       Impact factor: 60.716

9.  Multidrug resistance in breast cancer: from in vitro models to clinical studies.

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Journal:  Int J Breast Cancer       Date:  2011-02-24

10.  P-glycoprotein expression in primary breast cancer detected by immunocytochemistry with two monoclonal antibodies.

Authors:  G C Wishart; J A Plumb; J J Going; A M McNicol; C S McArdle; T Tsuruo; S B Kaye
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  6 in total

1.  Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer.

Authors:  Pedro M Enriquez-Navas; Yoonseok Kam; Tuhin Das; Sabrina Hassan; Ariosto Silva; Parastou Foroutan; Epifanio Ruiz; Gary Martinez; Susan Minton; Robert J Gillies; Robert A Gatenby
Journal:  Sci Transl Med       Date:  2016-02-24       Impact factor: 17.956

Review 2.  The potential impact of coinfection on antimicrobial chemotherapy and drug resistance.

Authors:  Ruthie B Birger; Roger D Kouyos; C Jessica E Metcalf; Ted Cohen; Emily C Griffiths; Silvie Huijben; Michael J Mina; Victoriya Volkova; Bryan Grenfell
Journal:  Trends Microbiol       Date:  2015-05-29       Impact factor: 17.079

Review 3.  Tumor evolution: Linear, branching, neutral or punctuated?

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Review 4.  Episensitization: Defying Time's Arrow.

Authors:  Bryan T Oronsky; Arnold L Oronsky; Michelle Lybeck; Neil C Oronsky; Jan J Scicinski; Corey Carter; Regina M Day; Jose F Rodriguez Orengo; Maribel Rodriguez-Torres; Gary F Fanger; Tony R Reid
Journal:  Front Oncol       Date:  2015-06-11       Impact factor: 6.244

5.  Molecular characterization of circulating tumor cells from patients with metastatic breast cancer reflects evolutionary changes in gene expression under the pressure of systemic therapy.

Authors:  Kristina E Aaltonen; Vendula Novosadová; Pär-Ola Bendahl; Cecilia Graffman; Anna-Maria Larsson; Lisa Rydén
Journal:  Oncotarget       Date:  2017-07-11

6.  Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer.

Authors:  Jessica Cunningham; Frank Thuijsman; Ralf Peeters; Yannick Viossat; Joel Brown; Robert Gatenby; Kateřina Staňková
Journal:  PLoS One       Date:  2020-12-08       Impact factor: 3.240

  6 in total

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