MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer
Bacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced mutagenesis. Cipponi et al. investigated whether similar programs of mutagenesis play a role in the response of cancer cells to targeted therapies. Using in vitro models of inte...
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Published in: | Science (American Association for the Advancement of Science) Vol. 368; no. 6495; pp. 1127 - 1131 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Abstract | Bacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced mutagenesis. Cipponi
et al.
investigated whether similar programs of mutagenesis play a role in the response of cancer cells to targeted therapies. Using in vitro models of intense drug selection and genome-wide functional screens, the authors found evidence for an analogous process in cancer and showed that it is regulated by the mammalian target of rapamycin (mTOR) signaling pathway. This pathway appears to mediate a stress-related switch to error-prone DNA repair, resulting in the generation of mutations that facilitate the emergence of drug resistance.
Science
, this issue p.
1127
An evolutionarily conserved program of adaptive mutagenesis accelerates drug resistance in human cancers.
In microorganisms, evolutionarily conserved mechanisms facilitate adaptation to harsh conditions through stress-induced mutagenesis (SIM). Analogous processes may underpin progression and therapeutic failure in human cancer. We describe SIM in multiple in vitro and in vivo models of human cancers under nongenotoxic drug selection, paradoxically enhancing adaptation at a competing intrinsic fitness cost. A genome-wide approach identified the mechanistic target of rapamycin (MTOR) as a stress-sensing rheostat mediating SIM across multiple cancer types and conditions. These observations are consistent with a two-phase model for drug resistance, in which an initially rapid expansion of genetic diversity is counterbalanced by an intrinsic fitness penalty, subsequently normalizing to complete adaptation under the new conditions. This model suggests synthetic lethal strategies to minimize resistance to anticancer therapy. |
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AbstractList | How cancer cells adapt to stressBacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced mutagenesis. Cipponi et al. investigated whether similar programs of mutagenesis play a role in the response of cancer cells to targeted therapies. Using in vitro models of intense drug selection and genome-wide functional screens, the authors found evidence for an analogous process in cancer and showed that it is regulated by the mammalian target of rapamycin (mTOR) signaling pathway. This pathway appears to mediate a stress-related switch to error-prone DNA repair, resulting in the generation of mutations that facilitate the emergence of drug resistance.Science, this issue p. 1127In microorganisms, evolutionarily conserved mechanisms facilitate adaptation to harsh conditions through stress-induced mutagenesis (SIM). Analogous processes may underpin progression and therapeutic failure in human cancer. We describe SIM in multiple in vitro and in vivo models of human cancers under nongenotoxic drug selection, paradoxically enhancing adaptation at a competing intrinsic fitness cost. A genome-wide approach identified the mechanistic target of rapamycin (MTOR) as a stress-sensing rheostat mediating SIM across multiple cancer types and conditions. These observations are consistent with a two-phase model for drug resistance, in which an initially rapid expansion of genetic diversity is counterbalanced by an intrinsic fitness penalty, subsequently normalizing to complete adaptation under the new conditions. This model suggests synthetic lethal strategies to minimize resistance to anticancer therapy. Bacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced mutagenesis. Cipponi et al. investigated whether similar programs of mutagenesis play a role in the response of cancer cells to targeted therapies. Using in vitro models of intense drug selection and genome-wide functional screens, the authors found evidence for an analogous process in cancer and showed that it is regulated by the mammalian target of rapamycin (mTOR) signaling pathway. This pathway appears to mediate a stress-related switch to error-prone DNA repair, resulting in the generation of mutations that facilitate the emergence of drug resistance. Science , this issue p. 1127 An evolutionarily conserved program of adaptive mutagenesis accelerates drug resistance in human cancers. In microorganisms, evolutionarily conserved mechanisms facilitate adaptation to harsh conditions through stress-induced mutagenesis (SIM). Analogous processes may underpin progression and therapeutic failure in human cancer. We describe SIM in multiple in vitro and in vivo models of human cancers under nongenotoxic drug selection, paradoxically enhancing adaptation at a competing intrinsic fitness cost. A genome-wide approach identified the mechanistic target of rapamycin (MTOR) as a stress-sensing rheostat mediating SIM across multiple cancer types and conditions. These observations are consistent with a two-phase model for drug resistance, in which an initially rapid expansion of genetic diversity is counterbalanced by an intrinsic fitness penalty, subsequently normalizing to complete adaptation under the new conditions. This model suggests synthetic lethal strategies to minimize resistance to anticancer therapy. |
Author | Nobis, Max Papenfuss, Anthony T. Blay, Jean-Yves Warren, Sean C. Pajic, Marina Nguyen, Uyen Lobachevsky, Pavel Rajal, Alvaro Gonzalez Nessem, Danielle Keerthikumar, Shivakumar Cipponi, Arcadi Bedo, Justin Generali, Daniele G. Timpson, Paul Saunders, Darren N. Corcoran, Niall M. Junankar, Simon R. Vargas, Ana C. McCabe, Mark J. Qiu, Min R. Thomas, David M. Croucher, David R. Goode, David L. Cowley, Mark Long, Georgina V. |
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J. orcidid: 0000-0003-1346-6419 surname: McCabe fullname: McCabe, Mark J. organization: St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia., Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia – sequence: 5 givenname: Marina orcidid: 0000-0002-3871-3829 surname: Pajic fullname: Pajic, Marina organization: The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia., St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia – sequence: 6 givenname: David R. orcidid: 0000-0003-4965-8674 surname: Croucher fullname: Croucher, David R. organization: The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia., St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia – sequence: 7 givenname: Alvaro Gonzalez orcidid: 0000-0002-9230-0339 surname: Rajal fullname: Rajal, Alvaro Gonzalez 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Cites_doi | 10.1016/j.cell.2010.11.055 10.1126/science.1247472 10.1126/science.aav4474 10.1038/nmeth.1923 10.1073/pnas.0712345105 10.1038/nature19823 10.1002/cncr.29586 10.1038/ng.3641 10.1002/bies.201200050 10.1038/nrclinonc.2018.28 10.1016/S1470-2045(15)70105-1 10.1038/nmeth.2019 10.1016/0092-8674(90)90186-I 10.1038/ng.3214 10.1016/j.ccell.2014.09.010 10.1080/10409230701648502 10.1038/ng.3441 10.1016/j.canlet.2015.12.029 10.1038/nrc2523 10.1038/nature14169 10.1016/j.prp.2017.09.022 10.1158/0008-5472.CAN-13-0749 10.1200/JCO.2005.04.5773 10.1158/1078-0432.CCR-17-1279 10.1038/nm.3841 10.1158/0008-5472.CAN-16-3105 10.1371/journal.pone.0042341 10.1093/biostatistics/kxh008 10.1038/nature10795 10.1038/srep10129 10.1038/s41598-017-17204-5 10.1186/s13059-015-0617-1 10.1038/nmeth.1237 10.1200/JCO.2007.13.7083 10.1261/rna.725208 10.4161/23723548.2014.970489 10.1016/j.cell.2017.03.035 10.1007/978-94-009-4109-0 10.3389/fmolb.2018.00080 10.1186/s13059-016-0893-4 10.1093/nar/gku1010 10.1371/journal.pcbi.1004731 10.1038/ng1861 10.1093/nar/gkv007 10.1371/journal.pgen.1003680 10.1073/pnas.0702955104 10.1038/nrc2998 10.1080/09553002.2016.1222093 10.1101/gr.175141.114 10.1093/nar/gku476 10.1016/j.ejca.2008.10.026 10.1371/journal.pbio.1001815 10.1016/j.tibs.2011.05.003 10.1038/nrc.2015.2 10.1016/j.mrfmmm.2005.03.007 10.1016/j.cell.2019.02.012 10.1186/bcr2594 10.1007/978-1-4939-7568-6_17 10.1093/bioinformatics/btu638 10.1073/pnas.1008322108 10.1038/nmeth.3317 10.1101/gr.135350.111 10.1136/gutjnl-2017-315144 10.1158/0008-5472.CAN-09-0041 10.1016/j.bcp.2009.09.020 10.1186/1471-2164-13-591 10.1126/scisignal.2005326 |
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References | e_1_3_2_49_2 e_1_3_2_28_2 e_1_3_2_41_2 e_1_3_2_64_2 e_1_3_2_20_2 e_1_3_2_43_2 e_1_3_2_22_2 e_1_3_2_45_2 e_1_3_2_68_2 e_1_3_2_24_2 e_1_3_2_47_2 e_1_3_2_66_2 Marchettini N. (e_1_3_2_62_2) 2009; 3 e_1_3_2_60_2 e_1_3_2_9_2 e_1_3_2_16_2 e_1_3_2_37_2 e_1_3_2_7_2 e_1_3_2_18_2 e_1_3_2_39_2 Guo F. (e_1_3_2_26_2) 2014; 2 e_1_3_2_54_2 e_1_3_2_10_2 e_1_3_2_31_2 e_1_3_2_52_2 e_1_3_2_73_2 e_1_3_2_5_2 e_1_3_2_12_2 e_1_3_2_33_2 e_1_3_2_58_2 e_1_3_2_3_2 e_1_3_2_14_2 e_1_3_2_35_2 e_1_3_2_56_2 e_1_3_2_50_2 e_1_3_2_71_2 e_1_3_2_27_2 e_1_3_2_48_2 e_1_3_2_29_2 Hausser J. (e_1_3_2_59_2) 2009; 10 e_1_3_2_40_2 e_1_3_2_65_2 e_1_3_2_21_2 e_1_3_2_42_2 e_1_3_2_63_2 e_1_3_2_23_2 e_1_3_2_44_2 e_1_3_2_69_2 e_1_3_2_25_2 e_1_3_2_46_2 e_1_3_2_67_2 Bedö J. (e_1_3_2_61_2) 2017; 17 e_1_3_2_15_2 e_1_3_2_38_2 e_1_3_2_8_2 e_1_3_2_17_2 e_1_3_2_6_2 e_1_3_2_19_2 e_1_3_2_30_2 e_1_3_2_53_2 e_1_3_2_32_2 e_1_3_2_51_2 e_1_3_2_11_2 e_1_3_2_34_2 e_1_3_2_57_2 e_1_3_2_4_2 e_1_3_2_13_2 e_1_3_2_36_2 e_1_3_2_55_2 e_1_3_2_2_2 e_1_3_2_72_2 e_1_3_2_70_2 |
References_xml | – ident: e_1_3_2_4_2 doi: 10.1016/j.cell.2010.11.055 – ident: e_1_3_2_12_2 doi: 10.1126/science.1247472 – ident: e_1_3_2_29_2 doi: 10.1126/science.aav4474 – ident: e_1_3_2_57_2 doi: 10.1038/nmeth.1923 – ident: e_1_3_2_3_2 doi: 10.1073/pnas.0712345105 – ident: e_1_3_2_7_2 doi: 10.1038/nature19823 – ident: e_1_3_2_37_2 doi: 10.1002/cncr.29586 – ident: e_1_3_2_6_2 doi: 10.1038/ng.3641 – ident: e_1_3_2_10_2 doi: 10.1002/bies.201200050 – ident: e_1_3_2_31_2 doi: 10.1038/nrclinonc.2018.28 – ident: e_1_3_2_36_2 doi: 10.1016/S1470-2045(15)70105-1 – ident: e_1_3_2_48_2 doi: 10.1038/nmeth.2019 – ident: e_1_3_2_2_2 doi: 10.1016/0092-8674(90)90186-I – ident: e_1_3_2_5_2 doi: 10.1038/ng.3214 – ident: e_1_3_2_20_2 doi: 10.1016/j.ccell.2014.09.010 – volume: 2 start-page: 5 year: 2014 ident: e_1_3_2_26_2 article-title: Mtor-Fanconi anemia DNA damage repair pathway in cancer publication-title: J. Oncobiomarkers contributor: fullname: Guo F. – ident: e_1_3_2_9_2 doi: 10.1080/10409230701648502 – ident: e_1_3_2_50_2 doi: 10.1038/ng.3441 – ident: e_1_3_2_18_2 doi: 10.1016/j.canlet.2015.12.029 – ident: e_1_3_2_15_2 doi: 10.1038/nrc2523 – ident: e_1_3_2_70_2 doi: 10.1038/nature14169 – ident: e_1_3_2_32_2 doi: 10.1016/j.prp.2017.09.022 – ident: e_1_3_2_69_2 doi: 10.1158/0008-5472.CAN-13-0749 – ident: e_1_3_2_33_2 doi: 10.1200/JCO.2005.04.5773 – ident: e_1_3_2_71_2 doi: 10.1158/1078-0432.CCR-17-1279 – ident: e_1_3_2_16_2 doi: 10.1038/nm.3841 – ident: e_1_3_2_72_2 doi: 10.1158/0008-5472.CAN-16-3105 – ident: e_1_3_2_55_2 doi: 10.1371/journal.pone.0042341 – ident: e_1_3_2_52_2 doi: 10.1093/biostatistics/kxh008 – ident: e_1_3_2_13_2 doi: 10.1038/nature10795 – ident: e_1_3_2_42_2 doi: 10.1038/srep10129 – ident: e_1_3_2_44_2 doi: 10.1038/s41598-017-17204-5 – ident: e_1_3_2_51_2 doi: 10.1186/s13059-015-0617-1 – ident: e_1_3_2_45_2 doi: 10.1038/nmeth.1237 – ident: e_1_3_2_34_2 doi: 10.1200/JCO.2007.13.7083 – ident: e_1_3_2_17_2 doi: 10.1261/rna.725208 – ident: e_1_3_2_24_2 doi: 10.4161/23723548.2014.970489 – ident: e_1_3_2_22_2 doi: 10.1016/j.cell.2017.03.035 – ident: e_1_3_2_60_2 doi: 10.1007/978-94-009-4109-0 – ident: e_1_3_2_21_2 doi: 10.3389/fmolb.2018.00080 – ident: e_1_3_2_49_2 doi: 10.1186/s13059-016-0893-4 – ident: e_1_3_2_66_2 doi: 10.1093/nar/gku1010 – ident: e_1_3_2_47_2 doi: 10.1371/journal.pcbi.1004731 – ident: e_1_3_2_30_2 doi: 10.1038/ng1861 – ident: e_1_3_2_58_2 doi: 10.1093/nar/gkv007 – ident: e_1_3_2_11_2 doi: 10.1371/journal.pgen.1003680 – ident: e_1_3_2_54_2 doi: 10.1038/nm.3841 – ident: e_1_3_2_39_2 doi: 10.1073/pnas.0702955104 – ident: e_1_3_2_68_2 doi: 10.1038/nrc2998 – volume: 3 start-page: 249 year: 2009 ident: e_1_3_2_62_2 article-title: Thermodynamics and life: An evolutionary point of view publication-title: Int. J. Des. Nat. Ecodyn. contributor: fullname: Marchettini N. – ident: e_1_3_2_41_2 doi: 10.1080/09553002.2016.1222093 – ident: e_1_3_2_46_2 doi: 10.1101/gr.175141.114 – ident: e_1_3_2_28_2 doi: 10.1093/nar/gku476 – ident: e_1_3_2_35_2 doi: 10.1016/j.ejca.2008.10.026 – ident: e_1_3_2_14_2 doi: 10.1371/journal.pbio.1001815 – ident: e_1_3_2_19_2 doi: 10.1016/j.tibs.2011.05.003 – ident: e_1_3_2_27_2 doi: 10.1038/nrc.2015.2 – volume: 10 start-page: 1469 year: 2009 ident: e_1_3_2_59_2 article-title: Entropy inference and the james-stein estimator, with application to nonlinear gene association networks publication-title: J. Mach. Learn. Res. contributor: fullname: Hausser J. – ident: e_1_3_2_67_2 doi: 10.1016/j.mrfmmm.2005.03.007 – ident: e_1_3_2_8_2 doi: 10.1016/j.cell.2019.02.012 – ident: e_1_3_2_25_2 doi: 10.1186/bcr2594 – ident: e_1_3_2_56_2 doi: 10.1007/978-1-4939-7568-6_17 – ident: e_1_3_2_64_2 doi: 10.1093/bioinformatics/btu638 – ident: e_1_3_2_43_2 doi: 10.1073/pnas.1008322108 – ident: e_1_3_2_63_2 doi: 10.1038/nmeth.3317 – ident: e_1_3_2_65_2 doi: 10.1101/gr.135350.111 – ident: e_1_3_2_38_2 doi: 10.1136/gutjnl-2017-315144 – ident: e_1_3_2_40_2 doi: 10.1158/0008-5472.CAN-09-0041 – ident: e_1_3_2_73_2 doi: 10.1016/j.bcp.2009.09.020 – ident: e_1_3_2_53_2 doi: 10.1186/1471-2164-13-591 – ident: e_1_3_2_23_2 doi: 10.1126/scisignal.2005326 – volume: 17 start-page: 201 year: 2017 ident: e_1_3_2_61_2 article-title: Multivariate Spearman’s rho for aggregating ranks using copulas. publication-title: J. Mach. Learn. Res. contributor: fullname: Bedö J. |
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Snippet | Bacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced mutagenesis. Cipponi
et al.... How cancer cells adapt to stressBacteria adapt to harsh conditions such as antibiotic exposure by acquiring new mutations, a process called stress-induced... |
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SubjectTerms | Adaptation Antibiotics Cancer Deoxyribonucleic acid DNA DNA repair Drug resistance Evolution Evolution & development Fitness Genetic diversity Genomes Microorganisms Mutagenesis Mutation Normalizing Rapamycin Reproductive fitness Signal transduction Signaling Target recognition TOR protein |
Title | MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer |
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