Literature DB >> 35121883

IRS1 phosphorylation underlies the non-stochastic probability of cancer cells to persist during EGFR inhibition therapy.

Adi Jacob Berger1, Elinor Gigi1, Lana Kupershmidt2,3, Zohar Meir4,5, Nancy Gavert1, Yaara Zwang1, Amir Prior6, Shlomit Gilad7, Uzi Harush8,9, Izhak Haviv2,3,10, Salomon M Stemmer11, Galia Blum12, Emmanuelle Merquiol12, Mariya Mardamshina13, Sivan Kaminski Strauss14, Gilgi Friedlander15, Jair Bar16, Iris Kamer16, Yitzhak Reizel17, Tamar Geiger13, Yitzhak Pilpel14, Yishai Levin6, Amos Tanay4,5, Baruch Barzel8,9, Hadas Reuveni2,18, Ravid Straussman19.   

Abstract

Stochastic transition of cancer cells between drug-sensitive and drug-tolerant persister phenotypes has been proposed to play a key role in non-genetic resistance to therapy. Yet, we show here that cancer cells actually possess a highly stable inherited chance to persist (CTP) during therapy. This CTP is non-stochastic, determined pre-treatment and has a unimodal distribution ranging from 0 to almost 100%. Notably, CTP is drug specific. We found that differential serine/threonine phosphorylation of the insulin receptor substrate 1 (IRS1) protein determines the CTP of lung and of head and neck cancer cells under epidermal growth factor receptor inhibition, both in vitro and in vivo. Indeed, the first-in-class IRS1 inhibitor NT219 was highly synergistic with anti-epidermal growth factor receptor therapy across multiple in vitro and in vivo models. Elucidation of drug-specific mechanisms that determine the degree and stability of cellular CTP may establish a framework for the elimination of cancer persisters, using new rationally designed drug combinations.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 35121883     DOI: 10.1038/s43018-021-00261-1

Source DB:  PubMed          Journal:  Nat Cancer        ISSN: 2662-1347


  47 in total

1.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

2.  Normal and neoplastic nonstem cells can spontaneously convert to a stem-like state.

Authors:  Christine L Chaffer; Ines Brueckmann; Christina Scheel; Alicia J Kaestli; Paul A Wiggins; Leonardo O Rodrigues; Mary Brooks; Ferenc Reinhardt; Ying Su; Kornelia Polyak; Lisa M Arendt; Charlotte Kuperwasser; Brian Bierie; Robert A Weinberg
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-15       Impact factor: 11.205

3.  Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing.

Authors:  Mei-Chong Wendy Lee; Fernando J Lopez-Diaz; Shahid Yar Khan; Muhammad Akram Tariq; Yelena Dayn; Charles Joseph Vaske; Amie J Radenbaugh; Hyunsung John Kim; Beverly M Emerson; Nader Pourmand
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-22       Impact factor: 11.205

4.  Metrics other than potency reveal systematic variation in responses to cancer drugs.

Authors:  Mohammad Fallahi-Sichani; Saman Honarnejad; Laura M Heiser; Joe W Gray; Peter K Sorger
Journal:  Nat Chem Biol       Date:  2013-09-08       Impact factor: 15.040

Review 5.  Molecular mechanisms of epithelial-mesenchymal transition.

Authors:  Samy Lamouille; Jian Xu; Rik Derynck
Journal:  Nat Rev Mol Cell Biol       Date:  2014-03       Impact factor: 94.444

6.  A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations.

Authors:  Sreenath V Sharma; Diana Y Lee; Bihua Li; Margaret P Quinlan; Fumiyuki Takahashi; Shyamala Maheswaran; Ultan McDermott; Nancy Azizian; Lee Zou; Michael A Fischbach; Kwok-Kin Wong; Kathleyn Brandstetter; Ben Wittner; Sridhar Ramaswamy; Marie Classon; Jeff Settleman
Journal:  Cell       Date:  2010-04-02       Impact factor: 41.582

7.  Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells.

Authors:  Piyush B Gupta; Christine M Fillmore; Guozhi Jiang; Sagi D Shapira; Kai Tao; Charlotte Kuperwasser; Eric S Lander
Journal:  Cell       Date:  2011-08-19       Impact factor: 41.582

Review 8.  Second and third-generation epidermal growth factor receptor tyrosine kinase inhibitors in advanced nonsmall cell lung cancer.

Authors:  Bin-Chi Liao; Chia-Chi Lin; James Chih-Hsin Yang
Journal:  Curr Opin Oncol       Date:  2015-03       Impact factor: 3.645

9.  An epigenetic mechanism of resistance to targeted therapy in T cell acute lymphoblastic leukemia.

Authors:  Birgit Knoechel; Justine E Roderick; Kaylyn E Williamson; Jiang Zhu; Jens G Lohr; Matthew J Cotton; Shawn M Gillespie; Daniel Fernandez; Manching Ku; Hongfang Wang; Federica Piccioni; Serena J Silver; Mohit Jain; Daniel Pearson; Michael J Kluk; Christopher J Ott; Leonard D Shultz; Michael A Brehm; Dale L Greiner; Alejandro Gutierrez; Kimberly Stegmaier; Andrew L Kung; David E Root; James E Bradner; Jon C Aster; Michelle A Kelliher; Bradley E Bernstein
Journal:  Nat Genet       Date:  2014-03-02       Impact factor: 38.330

10.  Acquired resistance of lung adenocarcinomas to gefitinib or erlotinib is associated with a second mutation in the EGFR kinase domain.

Authors:  William Pao; Vincent A Miller; Katerina A Politi; Gregory J Riely; Romel Somwar; Maureen F Zakowski; Mark G Kris; Harold Varmus
Journal:  PLoS Med       Date:  2005-02-22       Impact factor: 11.069

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