Human aneuploid cells depend on the RAF/MEK/ERK pathway for overcoming increased DNA damage.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
09 Sep 2024
Historique:
received: 12 06 2024
accepted: 28 08 2024
medline: 10 9 2024
pubmed: 10 9 2024
entrez: 9 9 2024
Statut: epublish

Résumé

Aneuploidy is a hallmark of human cancer, yet the molecular mechanisms to cope with aneuploidy-induced cellular stresses remain largely unknown. Here, we induce chromosome mis-segregation in non-transformed RPE1-hTERT cells and derive multiple stable clones with various degrees of aneuploidy. We perform a systematic genomic, transcriptomic and proteomic profiling of 6 isogenic clones, using whole-exome DNA, mRNA and miRNA sequencing, as well as proteomics. Concomitantly, we functionally interrogate their cellular vulnerabilities, using genome-wide CRISPR/Cas9 and large-scale drug screens. Aneuploid clones activate the DNA damage response and are more resistant to further DNA damage induction. Aneuploid cells also exhibit elevated RAF/MEK/ERK pathway activity and are more sensitive to clinically-relevant drugs targeting this pathway, and in particular to CRAF inhibition. Importantly, CRAF and MEK inhibition sensitize aneuploid cells to DNA damage-inducing chemotherapies and to PARP inhibitors. We validate these results in human cancer cell lines. Moreover, resistance of cancer patients to olaparib is associated with high levels of RAF/MEK/ERK signaling, specifically in highly-aneuploid tumors. Overall, our study provides a comprehensive resource for genetically-matched karyotypically-stable cells of various aneuploidy states, and reveals a therapeutically-relevant cellular dependency of aneuploid cells.

Identifiants

pubmed: 39251587
doi: 10.1038/s41467-024-52176-x
pii: 10.1038/s41467-024-52176-x
doi:

Substances chimiques

Phthalazines 0
olaparib WOH1JD9AR8
Piperazines 0
raf Kinases EC 2.7.11.1
Proto-Oncogene Proteins c-raf EC 2.7.11.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7772

Subventions

Organisme : Israel Science Foundation (ISF)
ID : 1805/21
Organisme : Israel Cancer Research Fund (Israel Cancer Research Fund, Inc.)
ID : NA
Organisme : United States - Israel Binational Science Foundation (BSF)
ID : 2019228
Organisme : Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research)
ID : AIRC-MFAG 2018 - ID. 21665
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : ERC-SyG-2020 951475

Informations de copyright

© 2024. The Author(s).

Références

Ben-David, U. & Amon, A. Context is everything: aneuploidy in cancer. Nat. Rev. Genet. 21, 44–62 (2020).
pubmed: 31548659 doi: 10.1038/s41576-019-0171-x
Santaguida, S. & Amon, A. Short- and long-term effects of chromosome mis-segregation and aneuploidy. Nat. Rev. Mol. Cell Biol. 16, 473–485 (2015).
pubmed: 26204159 doi: 10.1038/nrm4025
Vasudevan, A. et al. Aneuploidy as a promoter and suppressor of malignant growth. Nat. Rev. Cancer 21, 89–103 (2021).
pubmed: 33432169 doi: 10.1038/s41568-020-00321-1
Zhu, J., Tsai, H. J., Gordon, M. R. & Li, R. Cellular stress associated with aneuploidy. Dev. Cell 44, 420–431 (2018).
pubmed: 29486194 pmcid: 6529225 doi: 10.1016/j.devcel.2018.02.002
Chunduri, N. K. & Storchová, Z. The diverse consequences of aneuploidy. Nat. Cell Biol. 21, 54–62 (2019).
pubmed: 30602769 doi: 10.1038/s41556-018-0243-8
Taylor, A. M. et al. Genomic and functional approaches to understanding cancer aneuploidy. Cancer Cell 33, 676–689.e3 (2018).
pubmed: 29622463 pmcid: 6028190 doi: 10.1016/j.ccell.2018.03.007
Cohen-Sharir, Y. et al. Aneuploidy renders cancer cells vulnerable to mitotic checkpoint inhibition. Nature 590, 486–491 (2021).
pubmed: 33505028 pmcid: 8262644 doi: 10.1038/s41586-020-03114-6
Kuznetsova, A. Y. et al. Chromosomal instability, tolerance of mitotic errors and multidrug resistance are promoted by tetraploidization in human cells. Cell Cycle 14, 2810–2820 (2015).
pubmed: 26151317 pmcid: 4614355 doi: 10.1080/15384101.2015.1068482
Chunduri, N. K. et al. Systems approaches identify the consequences of monosomy in somatic human cells. Nat. Commun. 12, 1–17 (2021).
doi: 10.1038/s41467-021-25288-x
Rutledge, S. D. et al. Selective advantage of trisomic human cells cultured in non-standard conditions. Sci. Rep. 6, 1–12 (2016).
doi: 10.1038/srep22828
Stingele, S. et al. Global analysis of genome, transcriptome and proteome reveals the response to aneuploidy in human cells. Mol. Syst. Biol. 8, 608 (2012).
pubmed: 22968442 pmcid: 3472693 doi: 10.1038/msb.2012.40
Kneissig, M. et al. Micronuclei-based model system reveals functional consequences of chromothripsis in human cells. Elife 8, e50292 (2019).
pubmed: 31778112 pmcid: 6910827 doi: 10.7554/eLife.50292
Garribba, L. & Santaguida, S. The dynamic instability of the aneuploid genome. Front. Cell Dev. Biol. 10, 838928 (2022).
pubmed: 35265623 pmcid: 8899291 doi: 10.3389/fcell.2022.838928
Janssen, A., Van Der Burg, M., Szuhai, K., Kops, G. J. P. L. & Medema, R. H. Chromosome segregation errors as a cause of DNA damage and structural chromosome aberrations. Science 333, 1895–1898 (2011).
pubmed: 21960636 doi: 10.1126/science.1210214
Lamm, N. et al. Genomic instability in human pluripotent stem cells arises from replicative stress and chromosome condensation defects. Cell Stem Cell 18, 253–261 (2016).
pubmed: 26669899 doi: 10.1016/j.stem.2015.11.003
Passerini, V. et al. The presence of extra chromosomes leads to genomic instability. Nat. Commun. 7, 1–12 (2016).
doi: 10.1038/ncomms10754
Santaguida, S., Richardson, A., Rhind, N., Desai, A. & Amon, A. Chromosome mis-segregation generates cell-cycle-arrested cells with complex karyotypes that are eliminated by the immune system. Dev. Cell 41, 638–651 (2017).
pubmed: 28633018 pmcid: 5536848 doi: 10.1016/j.devcel.2017.05.022
Umbreit, N. T. et al. Mechanisms generating cancer genome complexity from a single cell division error. Science 368, eaba0712 (2020).
pubmed: 32299917 pmcid: 7347108 doi: 10.1126/science.aba0712
Sheltzer, J. M. et al. Aneuploidy drives genomic instability in yeast. Science 333, 1026–1030 (2011).
pubmed: 21852501 pmcid: 3278960 doi: 10.1126/science.1206412
Blank, H. M., Sheltzer, J. M., Meehl, C. M. & Amon, A. Mitotic entry in the presence of DNA damage is a widespread property of aneuploidy in yeast. Mol. Biol. Cell 26, 1440–1451 (2015).
pubmed: 25694455 pmcid: 4395125 doi: 10.1091/mbc.E14-10-1442
Garribba, L. et al. Short-term molecular consequences of chromosome mis-segregation for genome stability. Nat. Commun. 14, 1–17 (2023).
doi: 10.1038/s41467-023-37095-7
Burrell, R. A., McGranahan, N., Bartek, J. & Swanton, C. The causes and consequences of genetic heterogeneity in cancer evolution. Nature 501, 338–345 (2013).
pubmed: 24048066 doi: 10.1038/nature12625
Ippolito, M. R. et al. Gene copy-number changes and chromosomal instability induced by aneuploidy confer resistance to chemotherapy. Dev. Cell 56, 2440–2454.e6 (2021).
pubmed: 34352223 doi: 10.1016/j.devcel.2021.07.006
Lee, A. J. X. et al. Chromosomal instability confers intrinsic multidrug resistance. Cancer Res. 71, 1858–1870 (2011).
pubmed: 21363922 pmcid: 3059493 doi: 10.1158/0008-5472.CAN-10-3604
Lukow, D. A. et al. Chromosomal instability accelerates the evolution of resistance to anti-cancer therapies. Dev. Cell 56, 2427–2439.e4 (2021).
pubmed: 34352222 pmcid: 8933054 doi: 10.1016/j.devcel.2021.07.009
Replogle, J. M. et al. Aneuploidy increases resistance to chemotherapeutics by antagonizing cell division. Proc. Natl. Acad. Sci. USA. 117, 30566–30576 (2020).
pubmed: 33203674 pmcid: 7720170 doi: 10.1073/pnas.2009506117
Santaguida, S., Tighe, A., D’Alise, A. M., Taylor, S. S. & Musacchio, A. Dissecting the role of MPS1 in chromosome biorientation and the spindle checkpoint through the small molecule inhibitor reversine. J. Cell Biol. 190, 73–87 (2010).
pubmed: 20624901 pmcid: 2911657 doi: 10.1083/jcb.201001036
Santaguida, S., Vasile, E., White, E. & Amon, A. Aneuploidy-induced cellular stresses limit autophagic degradation. Genes Dev. 29, 2010–2021 (2015).
pubmed: 26404941 pmcid: 4604343 doi: 10.1101/gad.269118.115
Soto, M. et al. p53 prohibits propagation of chromosome segregation errors that produce structural aneuploidies. Cell Rep. 19, 2423–2431 (2017).
pubmed: 28636931 doi: 10.1016/j.celrep.2017.05.055
Bakker, B. et al. Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies. Genome Biol. 17, 1–15 (2016).
doi: 10.1186/s13059-016-0971-7
Klaasen, S. J. et al. Nuclear chromosome locations dictate segregation error frequencies. Nature 607, 604–609 (2022).
pubmed: 35831506 pmcid: 9300461 doi: 10.1038/s41586-022-04938-0
Williams, B. R. et al. Aneuploidy affects proliferation and spontaneous immortalization in mammalian cells. Science 322, 703–709 (2008).
pubmed: 18974345 pmcid: 2701511 doi: 10.1126/science.1160058
Torres, E. M. et al. Effects of aneuploidy on cellular physiology and cell division in haploid yeast. Science 317, 916–924 (2007).
pubmed: 17702937 doi: 10.1126/science.1142210
Tang, Y. C., Williams, B. R., Siegel, J. J. & Amon, A. Identification of aneuploidy-selective antiproliferation compounds. Cell 144, 499–512 (2011).
pubmed: 21315436 pmcid: 3532042 doi: 10.1016/j.cell.2011.01.017
He, L. et al. A microRNA component of the p53 tumour suppressor network. Nature 447, 1130–1134 (2007).
pubmed: 17554337 pmcid: 4590999 doi: 10.1038/nature05939
Navarro, F. & Lieberman, J. miR-34 and p53: new insights into a complex functional relationship. PLoS ONE 10, e0132767 (2015).
pubmed: 26177460 pmcid: 4503669 doi: 10.1371/journal.pone.0132767
Hermeking, H. MicroRNAs in the p53 network: micromanagement of tumour suppression. Nat. Rev. Cancer 12, 613–626 (2012).
pubmed: 22898542 doi: 10.1038/nrc3318
Mootha, V. K. et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat. Genet. 34, 267–273 (2003).
pubmed: 12808457 doi: 10.1038/ng1180
Subramanian, A. et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA. 102, 15545–15550 (2005).
pubmed: 16199517 pmcid: 1239896 doi: 10.1073/pnas.0506580102
Ippolito, M. R. et al. Increased RNA and protein degradation is required for counteracting transcriptional burden and proteotoxic stress in human aneuploid cells. Cancer Discov. https://doi.org/10.1101/2023.01.27.525826 (2024).
Corsello, S. M. et al. The drug repurposing hub: a next-generation drug library and information resource. Nat. Med. 23, 405–408 (2017).
pubmed: 28388612 pmcid: 5568558 doi: 10.1038/nm.4306
Caldecott, K. W. Single-strand break repair and genetic disease. Nat. Rev. Genet. 9, 619–631 (2008).
pubmed: 18626472 doi: 10.1038/nrg2380
Scully, R., Panday, A., Elango, R. & Willis, N. A. DNA double-strand break repair-pathway choice in somatic mammalian cells. Nat. Rev. Mol. Cell Biol. 20, 698–714 (2019).
pubmed: 31263220 pmcid: 7315405 doi: 10.1038/s41580-019-0152-0
den Hollander, A. I. et al. Mutations in a human homologue of Drosophila crumbs cause retinitis pigmentosa (RP12). Nat. Genet. 23, 217–221 (1999).
doi: 10.1038/13848
Tsherniak, A. et al. Defining a cancer dependency map. Cell 170, 564–576.e16 (2017).
pubmed: 28753430 pmcid: 5667678 doi: 10.1016/j.cell.2017.06.010
Basu, A. et al. An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules. Cell 154, 1151 (2013).
pubmed: 23993102 pmcid: 3954635 doi: 10.1016/j.cell.2013.08.003
Corsello, S. M. et al. Discovering the anticancer potential of non-oncology drugs by systematic viability profiling. Nat. Cancer 1, 235–248 (2020).
pubmed: 32613204 pmcid: 7328899 doi: 10.1038/s43018-019-0018-6
Garnett, M. J. et al. Systematic identification of genomic markers of drug sensitivity in cancer cells. Nature 483, 570–575 (2012).
pubmed: 22460902 pmcid: 3349233 doi: 10.1038/nature11005
Yang, W. et al. Genomics of drug sensitivity in cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 41, D955–D961 (2013).
pubmed: 23180760 doi: 10.1093/nar/gks1111
Okaniwa, M. et al. Discovery of a selective kinase inhibitor (TAK-632) targeting pan-RAF inhibition: design, synthesis, and biological evaluation of C-7-substituted 1,3-benzothiazole derivatives. J. Med. Chem. 56, 6478–6494 (2013).
pubmed: 23906342 doi: 10.1021/jm400778d
Dumaz, N., Light, Y. & Marais, R. Cyclic AMP blocks cell growth through Raf-1-dependent and Raf-1-independent mechanisms. Mol. Cell. Biol. 22, 3717–3728 (2002).
pubmed: 11997508 pmcid: 133826 doi: 10.1128/MCB.22.11.3717-3728.2002
Cui, Y. & Guadagno, T. M. B-RafV600E signaling deregulates the mitotic spindle checkpoint through stabilizing Mps1 levels in melanoma cells. Oncogene 27, 3122–3133 (2008).
pubmed: 18071315 doi: 10.1038/sj.onc.1210972
Cui, Y., Borysova, M. K., Johnson, J. O. & Guadagno, T. M. Oncogenic B-RafV600E induces spindle abnormalities, supernumerary centrosomes, and aneuploidy in human melanocytic cells. Cancer Res. 70, 675–684 (2010).
pubmed: 20068179 doi: 10.1158/0008-5472.CAN-09-1491
Kamata, T. et al. BRAf inactivation drives aneuploidy by deregulating CRAF. Cancer Res. 70, 8475–8486 (2010).
pubmed: 20978199 pmcid: 2975377 doi: 10.1158/0008-5472.CAN-10-0603
Herman, J. A. et al. Hyper-active RAS/MAPK introduces cancer-specific mitotic vulnerabilities. Proc. Natl Acad. Sci. USA 119, e2208255119 (2022).
pubmed: 36191188 pmcid: 9565228 doi: 10.1073/pnas.2208255119
Garnett, M. J., Rana, S., Paterson, H., Barford, D. & Marais, R. Wild-type and mutant B-RAF activate C-RAF through distinct mechanisms involving heterodimerization. Mol. Cell 20, 963–969 (2005).
pubmed: 16364920 doi: 10.1016/j.molcel.2005.10.022
Rushworth, L. K., Hindley, A. D., O’Neill, E. & Kolch, W. Regulation and role of Raf-1/B-Raf heterodimerization. Mol. Cell. Biol. 26, 2262–2272 (2006).
pubmed: 16508002 pmcid: 1430271 doi: 10.1128/MCB.26.6.2262-2272.2006
Karoulia, Z. et al. An integrated model of RAF inhibitor action predicts inhibitor activity against oncogenic BRAF signaling. Cancer Cell 30, 485–498 (2016).
pubmed: 27523909 pmcid: 5021590 doi: 10.1016/j.ccell.2016.06.024
Zhang, C. et al. RAF inhibitors that evade paradoxical MAPK pathway activation. Nature 526, 583–586 (2015).
pubmed: 26466569 doi: 10.1038/nature14982
Venkatanarayan, A. et al. CRAF dimerization with ARAF regulates KRAS-driven tumor growth. Cell Rep. 38, 110351 (2022).
pubmed: 35139374 doi: 10.1016/j.celrep.2022.110351
Wellbrock, C., Karasarides, M. & Marais, R. The RAF proteins take centre stage. Nat. Rev. Mol. Cell Biol. 5, 875–885 (2004).
pubmed: 15520807 doi: 10.1038/nrm1498
Ghandi, M. et al. Next-generation characterization of the cancer cell line encyclopedia. Nature 569, 503–508 (2019).
pubmed: 31068700 pmcid: 6697103 doi: 10.1038/s41586-019-1186-3
Nusinow, D. P. et al. Quantitative proteomics of the cancer cell line encyclopedia. Cell 180, 387–402.e16 (2020).
pubmed: 31978347 pmcid: 7339254 doi: 10.1016/j.cell.2019.12.023
Stewart, E. et al. Orthotopic patient-derived xenografts of paediatric solid tumours. Nature 549, 96–100 (2017).
pubmed: 28854174 pmcid: 5659286 doi: 10.1038/nature23647
Advani, S. J. et al. Kinase-independent role for CRAF-driving tumour radioresistance via CHK2. Nat. Commun. 6, 1–8 (2015).
doi: 10.1038/ncomms9154
Golding, S. E. et al. Extracellular signal-related kinase positively regulates ataxia telangiectasia mutated, homologous recombination repair, and the DNA damage response. Cancer Res. 67, 1046–1053 (2007).
pubmed: 17283137 doi: 10.1158/0008-5472.CAN-06-2371
Klomp, J. E. et al. CHK1 protects oncogenic KRAS-expressing cells from DNA damage and is a target for pancreatic cancer treatment. Cell Rep. 37, 110060 (2021).
pubmed: 34852220 pmcid: 8665414 doi: 10.1016/j.celrep.2021.110060
Pei, X. Y. et al. Cytokinetically quiescent (G0/G1) human multiple myeloma cells are susceptible to simultaneous inhibition of Chk1 and MEK1/2. Blood 118, 5189–5200 (2011).
pubmed: 21911831 pmcid: 3217403 doi: 10.1182/blood-2011-02-339432
Stossel, C. et al. Spectrum of response to platinum and PARP inhibitors in germline BRCA-associated pancreatic cancer in the clinical and preclinical setting. Cancer Discov. 13, 1826–1843 (2023).
pubmed: 37449843 pmcid: 10401074 doi: 10.1158/2159-8290.CD-22-0412
Pusztai, L. et al. Durvalumab with olaparib and paclitaxel for high-risk HER2-negative stage II/III breast cancer: results from the adaptively randomized I-SPY2 trial. Cancer Cell 39, 989–998.e5 (2021).
pubmed: 34143979 pmcid: 11064785 doi: 10.1016/j.ccell.2021.05.009
Hintzen, D. C. et al. The impact of monosomies, trisomies and segmental aneuploidies on chromosomal stability. PLoS ONE 17, e0268579 (2022).
pubmed: 35776704 pmcid: 9249180 doi: 10.1371/journal.pone.0268579
Holland, A. J. & Cleveland, D. W. Boveri revisited: chromosomal instability, aneuploidy and tumorigenesis. Nat. Rev. Mol. Cell Biol. 10, 478–487 (2009).
pubmed: 19546858 pmcid: 3154738 doi: 10.1038/nrm2718
Meena, J. K. et al. Telomerase abrogates aneuploidy-induced telomere replication stress, senescence and cell depletion. EMBO J. 34, 1371–1384 (2015).
pubmed: 25820263 pmcid: 4491997 doi: 10.15252/embj.201490070
Andor, N. et al. Pan-cancer analysis of the extent and consequences of intratumor heterogeneity. Nat. Med. 22, 105–113 (2016).
pubmed: 26618723 doi: 10.1038/nm.3984
Smith, J. C. & Sheltzer, J. M. Genome-wide identification and analysis of prognostic features in human cancers. Cell Rep. 38, 110569 (2022).
pubmed: 35354049 pmcid: 9042322 doi: 10.1016/j.celrep.2022.110569
Moniz, L. S. & Stambolic, V. Nek10 Mediates G 2 /M cell cycle arrest and MEK autoactivation in response to UV irradiation. Mol. Cell. Biol. 31, 30–42 (2011).
pubmed: 20956560 doi: 10.1128/MCB.00648-10
Sun, C. et al. Rational combination therapy with PARP and MEK inhibitors capitalizes on therapeutic liabilities in RAS mutant cancers. Sci. Transl. Med. 9, eaal5148 (2017).
pubmed: 28566428 pmcid: 5919217 doi: 10.1126/scitranslmed.aal5148
Maertens, O. et al. MAPK pathway suppression unmasks latent DNA repair defects and confers a chemical synthetic vulnerability in BRAF-, NRAS-, and NF1-mutant melanomas. Cancer Discov. 9, 526–545 (2019).
pubmed: 30709805 pmcid: 10151004 doi: 10.1158/2159-8290.CD-18-0879
Russo, M. et al. Adaptive mutability of colorectal cancers in response to targeted therapies. Science 366, 1473–1480 (2019).
pubmed: 31699882 doi: 10.1126/science.aav4474
Yuan, J., Dong, X., Yap, J. & Hu, J. The MAPK and AMPK signalings: interplay and implication in targeted cancer therapy. J. Hematol. Oncol. 13, 1–19 (2020).
doi: 10.1186/s13045-020-00949-4
Darp, R., Vittoria, M. A., Ganem, N. J. & Ceol, C. J. Oncogenic BRAF induces whole-genome doubling through suppression of cytokinesis. Nat. Commun. 13, 1–17 (2022).
doi: 10.1038/s41467-022-31899-9
Abulaiti, A., Fikaris, A. J., Tsygankova, O. M. & Meinkoth, J. L. Ras induces chromosome instability and abrogation of the DNA damage response. Cancer Res. 66, 10505–10512 (2006).
pubmed: 17079472 doi: 10.1158/0008-5472.CAN-06-2351
Woo, R. A. & Poon, R. Y. C. Activated oncogenes promote and cooperate with chromosomal instability for neoplastic transformation. Genes Dev. 18, 1317 (2004).
pubmed: 15175263 pmcid: 420357 doi: 10.1101/gad.1165204
Luo, J. et al. A genome-wide RNAi screen identifies multiple synthetic lethal interactions with the ras oncogene. Cell 137, 835–848 (2009).
pubmed: 19490893 pmcid: 2768667 doi: 10.1016/j.cell.2009.05.006
Sanclemente, M. et al. c-RAF ablation induces regression of advanced Kras/Trp53 mutant lung adenocarcinomas by a mechanism independent of MAPK signaling. Cancer Cell 33, 217–228.e4 (2018).
pubmed: 29395869 doi: 10.1016/j.ccell.2017.12.014
Sanclemente, M. et al. RAF1 kinase activity is dispensable for KRAS/p53 mutant lung tumor progression. Cancer Cell 39, 294–296 (2021).
pubmed: 33513349 doi: 10.1016/j.ccell.2021.01.008
Ehrenreiter, K. et al. Raf-1 regulates Rho signaling and cell migration. J. Cell Biol. 168, 955–964 (2005).
pubmed: 15753127 pmcid: 2171799 doi: 10.1083/jcb.200409162
O’Neill, E., Rushworth, L., Baccarini, M. & Kolch, W. Role of the kinase MST2 in suppression of apoptosis by the proto-oncogene product Raf-1. Science 306, 2267–2270 (2004).
pubmed: 15618521 doi: 10.1126/science.1103233
Alavi, A. S., Acevedo, L., Min, W. & Cheresh, D. A. Chemoresistance of endothelial cells induced by basic fibroblast growth factor depends on Raf-1–mediated inhibition of the proapoptotic kinase, ASK1. Cancer Res. 67, 2766–2772 (2007).
pubmed: 17363598 doi: 10.1158/0008-5472.CAN-06-3648
Eves, E. M. et al. Raf kinase inhibitory protein regulates aurora B kinase and the spindle checkpoint. Mol. Cell 23, 561–574 (2006).
pubmed: 16916643 pmcid: 1626587 doi: 10.1016/j.molcel.2006.07.015
Mielgo, A. et al. A MEK-independent role for CRAF in mitosis and tumor progression. Nat. Med. 17, 1641–1645 (2011).
pubmed: 22081024 pmcid: 3233644 doi: 10.1038/nm.2464
Li, M. et al. The ATM-p53 pathway suppresses aneuploidy-induced tumorigenesis. Proc. Natl. Acad. Sci. USA. 107, 14188–14193 (2010).
pubmed: 20663956 pmcid: 2922543 doi: 10.1073/pnas.1005960107
Crasta, K. et al. DNA breaks and chromosome pulverization from errors in mitosis. Nature 482, 53–58 (2012).
pubmed: 22258507 pmcid: 3271137 doi: 10.1038/nature10802
Hatch, E. M., Fischer, A. H., Deerinck, T. J. & Hetzer, M. W. Catastrophic nuclear envelope collapse in cancer cell micronuclei. Cell 154, 47 (2013).
pubmed: 23827674 pmcid: 3749778 doi: 10.1016/j.cell.2013.06.007
Torres, E. M., Williams, B. R. & Amon, A. Aneuploidy: Cells losing their balance. Genetics 179, 737–746 (2008).
pubmed: 18558649 pmcid: 2429870 doi: 10.1534/genetics.108.090878
Muenzner, J. et al. The natural diversity of the yeast proteome reveals chromosome-wide dosage compensation in aneuploids. bioRxiv https://doi.org/10.1101/2022.04.06.487392 (2022).
Chen, J. et al. Cell cycle checkpoints cooperate to suppress DNA- and RNA-associated molecular pattern recognition and anti-tumor immune responses. Cell Rep. 32, 108080 (2020).
pubmed: 32877684 pmcid: 7530826 doi: 10.1016/j.celrep.2020.108080
Bakhoum, S. F. et al. Chromosomal instability drives metastasis through a cytosolic DNA response. Nature 553, 467–472 (2018).
pubmed: 29342134 pmcid: 5785464 doi: 10.1038/nature25432
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 1–21 (2014).
doi: 10.1186/s13059-014-0550-8
Muller, H., Marzi, M. J. & Nicassio, F. IsomiRage: From functional classification to differential expression of miRNA isoforms. Front. Bioeng. Biotechnol. 2, 38 (2014).
pubmed: 25325056 pmcid: 4179619 doi: 10.3389/fbioe.2014.00038
Demichev, V., Messner, C. B., Vernardis, S. I., Lilley, K. S. & Ralser, M. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nat. Methods 17, 41–44 (2020).
pubmed: 31768060 doi: 10.1038/s41592-019-0638-x
Bateman, A. et al. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res. 49, D480–D489 (2021).
doi: 10.1093/nar/gkaa1100
Meyers, R. M. et al. Computational correction of copy number effect improves specificity of CRISPR–Cas9 essentiality screens in cancer cells. Nat. Genet. 49, 1779–1784 (2017).
pubmed: 29083409 pmcid: 5709193 doi: 10.1038/ng.3984
Liberzon, A. et al. The molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417 (2015).
pubmed: 26771021 pmcid: 4707969 doi: 10.1016/j.cels.2015.12.004
Colaprico, A. et al. TCGAbiolinks: an R/bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 44, e71 (2016).
pubmed: 26704973 doi: 10.1093/nar/gkv1507
Ritz, C., Baty, F., Streibig, J. C. & Gerhard, D. Dose-response analysis using R. PLoS ONE 10, e0146021 (2015).
pubmed: 26717316 pmcid: 4696819 doi: 10.1371/journal.pone.0146021
Fang, Z., Liu, X. & Peltz, G. GSEApy: a comprehensive package for performing gene set enrichment analysis in Python. Bioinformatics 39, btac757 (2023).
pubmed: 36426870 doi: 10.1093/bioinformatics/btac757
Talevich, E., Shain, A. H., Botton, T. & Bastian, B. C. CNVkit: Genome-wide copy number detection and visualization from targeted DNA sequencing. PLoS Comput. Biol. 12, e1004873 (2016).
pubmed: 27100738 pmcid: 4839673 doi: 10.1371/journal.pcbi.1004873
Bollen, S., Leddin, M., Andrade-Navarro, M. A. & Mah, N. CAFE: an R package for the detection of gross chromosomal abnormalities from gene expression microarray data. Bioinformatics 30, 1484–1485 (2014).
pubmed: 24451624 pmcid: 4016701 doi: 10.1093/bioinformatics/btu028
Spurr, L. F. et al. Quantification of aneuploidy in targeted sequencing data using ASCETS. Bioinformatics 37, 2461–2463 (2021).
pubmed: 33247715 doi: 10.1093/bioinformatics/btaa980

Auteurs

Johanna Zerbib (J)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Marica Rosaria Ippolito (MR)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Yonatan Eliezer (Y)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Giuseppina De Feudis (G)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Eli Reuveni (E)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Anouk Savir Kadmon (A)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Sara Martin (S)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Sonia Viganò (S)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Gil Leor (G)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

James Berstler (J)

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Julia Muenzner (J)

Charité Universitätsmedizin Berlin, Department of Biochemistry, Berlin, Germany.

Michael Mülleder (M)

Charité Universitätsmedizin Berlin, Core Facility High-Throughput Mass Spectrometry, Berlin, Germany.

Emma M Campagnolo (EM)

Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Eldad D Shulman (ED)

Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Tiangen Chang (T)

Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Carmela Rubolino (C)

Center for Genomic Science of IIT@SEMM, Fondazione Instituto Italiano di Technologia, Milan, Italy.

Kathrin Laue (K)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Yael Cohen-Sharir (Y)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Simone Scorzoni (S)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Silvia Taglietti (S)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Alice Ratti (A)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy.

Chani Stossel (C)

Oncology Institute, Sheba Medical Center, Tel Hashomer, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Talia Golan (T)

Oncology Institute, Sheba Medical Center, Tel Hashomer, Israel.
Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Francesco Nicassio (F)

Center for Genomic Science of IIT@SEMM, Fondazione Instituto Italiano di Technologia, Milan, Italy.

Eytan Ruppin (E)

Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Markus Ralser (M)

Charité Universitätsmedizin Berlin, Department of Biochemistry, Berlin, Germany.
Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Max Planck Institute for Molecular Genetics, Berlin, Germany.

Francisca Vazquez (F)

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Uri Ben-David (U)

Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. ubendavid@tauex.tau.ac.il.

Stefano Santaguida (S)

Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Milan, Italy. Stefano.santaguida@ieo.it.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy. Stefano.santaguida@ieo.it.

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