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Noronha A, Belugali Nataraj N, Lee JS, Zhitomirsky B, Oren Y, Oster S, Lindzen M, Mukherjee S, Will R, Ghosh S, Simoni-Nieves A, Verma A, Chatterjee R, Borgoni S, Robinson W, Sinha S, Brandis A, Kerr DL, Wu W, Sekar A, Giri S, Chung Y, Drago-Garcia D, Danysh BP, Lauriola M, Fiorentino M, Ardizzoni A, Oren M, Blakely CM, Ezike J, Wiemann S, Parida L, Bivona TG, Aqeilan RI, Brugge JS, Regev A, Getz G, Ruppin E, Yarden Y. AXL and Error-Prone DNA Replication Confer Drug Resistance and Offer Strategies to Treat EGFR-Mutant Lung Cancer. Cancer Discov 2022; 12:2666-2683. [PMID: 35895872 PMCID: PMC9627128 DOI: 10.1158/2159-8290.cd-22-0111] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/10/2022] [Accepted: 07/25/2022] [Indexed: 02/06/2023]
Abstract
Anticancer therapies have been limited by the emergence of mutations and other adaptations. In bacteria, antibiotics activate the SOS response, which mobilizes error-prone factors that allow for continuous replication at the cost of mutagenesis. We investigated whether the treatment of lung cancer with EGFR inhibitors (EGFRi) similarly engages hypermutators. In cycling drug-tolerant persister (DTP) cells and in EGFRi-treated patients presenting residual disease, we observed upregulation of GAS6, whereas ablation of GAS6's receptor, AXL, eradicated resistance. Reciprocally, AXL overexpression enhanced DTP survival and accelerated the emergence of T790M, an EGFR mutation typical to resistant cells. Mechanistically, AXL induces low-fidelity DNA polymerases and activates their organizer, RAD18, by promoting neddylation. Metabolomics uncovered another hypermutator, AXL-driven activation of MYC, and increased purine synthesis that is unbalanced by pyrimidines. Aligning anti-AXL combination treatments with the transition from DTPs to resistant cells cured patient-derived xenografts. Hence, similar to bacteria, tumors tolerate therapy by engaging pharmacologically targetable endogenous mutators. SIGNIFICANCE EGFR-mutant lung cancers treated with kinase inhibitors often evolve resistance due to secondary mutations. We report that in similarity to the bacterial SOS response stimulated by antibiotics, endogenous mutators are activated in drug-treated cells, and this heralds tolerance. Blocking the process prevented resistance in xenograft models, which offers new treatment strategies. This article is highlighted in the In This Issue feature, p. 2483.
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Affiliation(s)
- Ashish Noronha
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | | | - Joo Sang Lee
- Cancer Data Science Lab, NCI, NIH, Bethesda, Maryland.,Next-Gen Medicine Lab, School of Medicine and Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea
| | | | - Yaara Oren
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Department of Cell Biology, Harvard Medical School, Boston, Massachusetts
| | - Sara Oster
- Lautenberg Center for Immunology and Cancer Research, Institute for Medical Research Israel-Canada, Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Moshit Lindzen
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Saptaparna Mukherjee
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Rainer Will
- Genomics and Proteomics Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Soma Ghosh
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Arturo Simoni-Nieves
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Aakanksha Verma
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Rishita Chatterjee
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Simone Borgoni
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Sanju Sinha
- Cancer Data Science Lab, NCI, NIH, Bethesda, Maryland
| | - Alexander Brandis
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - D. Lucas Kerr
- Department of Medicine, University of California, San Francisco, California
| | - Wei Wu
- Department of Medicine, University of California, San Francisco, California
| | - Arunachalam Sekar
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Suvendu Giri
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Youngmin Chung
- Next-Gen Medicine Lab, School of Medicine and Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Diana Drago-Garcia
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Brian P. Danysh
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Mattia Lauriola
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Michelangelo Fiorentino
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Andrea Ardizzoni
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Medical Oncology IRCCS Azienda Ospedaliero, University of Bologna, Bologna, Italy
| | - Moshe Oren
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Collin M. Blakely
- Department of Medicine, University of California, San Francisco, California.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Jideofor Ezike
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Stefan Wiemann
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laxmi Parida
- Thomas J. Watson Research Center, IBM Research, Yorktown Heights, New York
| | - Trever G. Bivona
- Department of Medicine, University of California, San Francisco, California.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.,Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
| | - Rami I. Aqeilan
- Lautenberg Center for Immunology and Cancer Research, Institute for Medical Research Israel-Canada, Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Joan S. Brugge
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts
| | - Aviv Regev
- Genentech Inc., South San Francisco, California
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Cancer Center and Department of Pathology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Eytan Ruppin
- Cancer Data Science Lab, NCI, NIH, Bethesda, Maryland
| | - Yosef Yarden
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.,Corresponding Author: Yosef Yarden, Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel. Phone: 972-8-934-3974; Fax: 972-8-934-2488; E-mail:
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Li H, Natarajan A, Ezike J, Barrasa MI, Le Y, Feder ZA, Yang H, Ma C, Markoulaki S, Lodish HF. Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production. Dev Cell 2019; 49:118-129.e7. [PMID: 30827895 DOI: 10.1016/j.devcel.2019.01.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Revised: 12/03/2018] [Accepted: 01/30/2019] [Indexed: 01/04/2023]
Abstract
The nature of cell-state transitions during the transit-amplifying phases of many developmental processes-hematopoiesis in particular-is unclear. Here, we use single-cell RNA sequencing to demonstrate a continuum of transcriptomic states in committed transit-amplifying erythropoietic progenitors, which correlates with a continuum of proliferative potentials in these cells. We show that glucocorticoids enhance erythrocyte production by slowing the rate of progression through this developmental continuum of transit-amplifying progenitors, permitting more cell divisions prior to terminal erythroid differentiation. Mechanistically, glucocorticoids prolong expression of genes that antagonize and slow induction of genes that drive terminal erythroid differentiation. Erythroid progenitor daughter cell pairs have similar transcriptomes with or without glucocorticoid stimulation, indicating largely symmetric cell division. Thus, the rate of progression along a developmental continuum dictates the absolute number of erythroid cells generated from each transit-amplifying progenitor, suggesting a paradigm for regulating the total output of differentiated cells in numerous other developmental processes.
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Affiliation(s)
- Hojun Li
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Dana-Farber/Boston Children's Hospital Cancer and Blood Disorders Center, Boston, MA 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Anirudh Natarajan
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Jideofor Ezike
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | | | - Yenthanh Le
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Zoë A Feder
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Huan Yang
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Clement Ma
- Dana-Farber/Boston Children's Hospital Cancer and Blood Disorders Center, Boston, MA 02215, USA
| | | | - Harvey F Lodish
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Departments of Biology and Bioengineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
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Zheng X, Krakowiak J, Patel N, Beyzavi A, Ezike J, Khalil AS, Pincus D. Dynamic control of Hsf1 during heat shock by a chaperone switch and phosphorylation. eLife 2016; 5. [PMID: 27831465 PMCID: PMC5127643 DOI: 10.7554/elife.18638] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 11/01/2016] [Indexed: 01/08/2023] Open
Abstract
Heat shock factor (Hsf1) regulates the expression of molecular chaperones to maintain protein homeostasis. Despite its central role in stress resistance, disease and aging, the mechanisms that control Hsf1 activity remain unresolved. Here we show that in budding yeast, Hsf1 basally associates with the chaperone Hsp70 and this association is transiently disrupted by heat shock, providing the first evidence that a chaperone repressor directly regulates Hsf1 activity. We develop and experimentally validate a mathematical model of Hsf1 activation by heat shock in which unfolded proteins compete with Hsf1 for binding to Hsp70. Surprisingly, we find that Hsf1 phosphorylation, previously thought to be required for activation, in fact only positively tunes Hsf1 and does so without affecting Hsp70 binding. Our work reveals two uncoupled forms of regulation - an ON/OFF chaperone switch and a tunable phosphorylation gain - that allow Hsf1 to flexibly integrate signals from the proteostasis network and cell signaling pathways. DOI:http://dx.doi.org/10.7554/eLife.18638.001 Proteins are strings of amino acids that carry out crucial activities inside cells, such as harvesting energy and generating the building blocks that cells need to grow. In order to carry out their specific roles inside the cell, the proteins need to “fold” into precise three-dimensional shapes. Protein folding is critical for life, and cells don’t leave it up to chance. Cells employ “molecular chaperones” to help proteins to fold properly. However, under some conditions – such as high temperature – proteins are more difficult to fold and the chaperones can become overwhelmed. In these cases, unfolded proteins can pile up in the cell. This leads not only to the cell being unable to work properly, but also to the formation of toxic “aggregates”. These aggregates are tangles of unfolded proteins that are hallmarks of many neurodegenerative diseases such as Alzheimer’s, Parkinson’s and amyotrophic lateral sclerosis (ALS). Protein aggregates can be triggered by high temperature in a condition termed “heat shock”. A sensor named heat shock factor 1 (Hsf1 for short) increases the amount of chaperones following heat shock. But what controls the activity of Hsf1? To answer this question, Zheng, Krakowiak et al. combined mathematical modelling and experiments in yeast cells. The most important finding is that the ‘on/off switch’ that controls Hsf1 is based on whether Hsf1 is itself bound to a chaperone. When bound to the chaperone, Hsf1 is turned ‘off’; when the chaperone falls off, Hsf1 turns ‘on’ and makes more chaperones; when there are enough chaperones, they once again bind to Hsf1 and turn it back ‘off’. In this way, Hsf1 and the chaperones form a feedback loop that ensures that there are always enough chaperones to keep the cell’s proteins folded. Now that we know how Hsf1 is controlled, can we harness this understanding to tune the activity of Hsf1 without disrupting how the chaperones work? If we can activate Hsf1, we can provide cells with more chaperones. This could be a therapeutic strategy to combat neurodegenerative diseases. DOI:http://dx.doi.org/10.7554/eLife.18638.002
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Affiliation(s)
- Xu Zheng
- Whitehead Institute for Biomedical Research, Cambridge, United States
| | - Joanna Krakowiak
- Whitehead Institute for Biomedical Research, Cambridge, United States
| | - Nikit Patel
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, United States
| | - Ali Beyzavi
- Department of Mechanical Engineering, Boston University, Boston, United States
| | - Jideofor Ezike
- Whitehead Institute for Biomedical Research, Cambridge, United States
| | - Ahmad S Khalil
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, United States.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, United States
| | - David Pincus
- Whitehead Institute for Biomedical Research, Cambridge, United States
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