51
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Sivakumar S, Moore JA, Montesion M, Sharaf R, Lin DI, Colón CI, Fleishmann Z, Ebot EM, Newberg JY, Mills JM, Hegde PS, Pan Q, Dowlati A, Frampton GM, Sage J, Lovly CM. Integrative Analysis of a Large Real-World Cohort of Small Cell Lung Cancer Identifies Distinct Genetic Subtypes and Insights into Histologic Transformation. Cancer Discov 2023; 13:1572-1591. [PMID: 37062002 PMCID: PMC10326603 DOI: 10.1158/2159-8290.cd-22-0620] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 03/08/2023] [Accepted: 04/06/2023] [Indexed: 04/17/2023]
Abstract
Small cell lung cancer (SCLC) is a recalcitrant neuroendocrine carcinoma with dismal survival outcomes. A major barrier in the field has been the relative paucity of human tumors studied. Here we provide an integrated analysis of 3,600 "real-world" SCLC cases. This large cohort allowed us to identify new recurrent alterations and genetic subtypes, including STK11-mutant tumors (1.7%) and TP53/RB1 wild-type tumors (5.5%), as well as rare cases that were human papillomavirus-positive. In our cohort, gene amplifications on 4q12 are associated with increased overall survival, whereas CCNE1 amplification is associated with decreased overall survival. We also identify more frequent alterations in the PTEN pathway in brain metastases. Finally, profiling cases of SCLC containing oncogenic drivers typically associated with NSCLC demonstrates that SCLC transformation may occur across multiple distinct molecular cohorts of NSCLC. These novel and unsuspected genetic features of SCLC may help personalize treatment approaches for this fatal form of cancer. SIGNIFICANCE Minimal changes in therapy and survival outcomes have occurred in SCLC for the past four decades. The identification of new genetic subtypes and novel recurrent mutations as well as an improved understanding of the mechanisms of transformation to SCLC from NSCLC may guide the development of personalized therapies for subsets of patients with SCLC. This article is highlighted in the In This Issue feature, p. 1501.
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Affiliation(s)
| | - Jay A Moore
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Radwa Sharaf
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Caterina I Colón
- Departments of Pediatrics and Genetics, Stanford University, Stanford, California
| | | | | | | | | | | | - Quintin Pan
- University Hospitals Seidman Cancer Center and Case Western Reserve University, Cleveland, Ohio
| | - Afshin Dowlati
- University Hospitals Seidman Cancer Center and Case Western Reserve University, Cleveland, Ohio
| | | | - Julien Sage
- Departments of Pediatrics and Genetics, Stanford University, Stanford, California
| | - Christine M Lovly
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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52
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Kikutake C, Suyama M. Pan-cancer analysis of whole-genome doubling and its association with patient prognosis. BMC Cancer 2023; 23:619. [PMID: 37400777 DOI: 10.1186/s12885-023-11132-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 06/29/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Whole-genome doubling (WGD) is a common mutation in cancer. Various studies have suggested that WGD is associated with a poor prognosis in cancer. However, the detailed association between WGD occurrence and prognosis remains unclear. In this study, we aimed to elucidate the mechanism by which WGD affects prognosis using sequencing data from the Pan-Cancer Analysis of Whole Genomes (PCAWG) and The Cancer Genome Atlas. METHODS Whole-genome sequencing data of 23 cancer types were downloaded from PCAWG project. We defined the WGD event in each sample using the WGD status annotated using PCAWG. We used MutationTimeR to predict the relative timings of mutations and loss of heterozygosity (LOH) in WGD, thus evaluating their association with WGD. We also analyzed the association between WGD-associated factors and patient prognosis. RESULTS WGD was associated with several factors, e.g., length of LOH regions. Survival analysis using WGD-associated factors revealed that longer LOH regions and LOH in chr17 were associated with poor prognosis in samples with WGD (WGD samples) and samples without WGD (nWGD samples). In addition to these two factors, nWGD samples showed that the number of mutations in tumor suppressor genes was associated with prognosis. Moreover, we explored the genes associated with prognosis in both samples separately. CONCLUSION The prognosis-related factors in WGD samples differed significantly compared with those in nWGD samples. This study emphasizes the need for different treatment strategies for WGD and nWGD samples.
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Affiliation(s)
- Chie Kikutake
- Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582, Japan
| | - Mikita Suyama
- Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582, Japan.
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53
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Shih J, Sarmashghi S, Zhakula-Kostadinova N, Zhang S, Georgis Y, Hoyt SH, Cuoco MS, Gao GF, Spurr LF, Berger AC, Ha G, Rendo V, Shen H, Meyerson M, Cherniack AD, Taylor AM, Beroukhim R. Cancer aneuploidies are shaped primarily by effects on tumour fitness. Nature 2023; 619:793-800. [PMID: 37380777 PMCID: PMC10529820 DOI: 10.1038/s41586-023-06266-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 05/26/2023] [Indexed: 06/30/2023]
Abstract
Aneuploidies-whole-chromosome or whole-arm imbalances-are the most prevalent alteration in cancer genomes1,2. However, it is still debated whether their prevalence is due to selection or ease of generation as passenger events1,2. Here we developed a method, BISCUT, that identifies loci subject to fitness advantages or disadvantages by interrogating length distributions of telomere- or centromere-bounded copy-number events. These loci were significantly enriched for known cancer driver genes, including genes not detected through analysis of focal copy-number events, and were often lineage specific. BISCUT identified the helicase-encoding gene WRN as a haploinsufficient tumour-suppressor gene on chromosome 8p, which is supported by several lines of evidence. We also formally quantified the role of selection and mechanical biases in driving aneuploidy, finding that rates of arm-level copy-number alterations are most highly correlated with their effects on cellular fitness1,2. These results provide insight into the driving forces behind aneuploidy and its contribution to tumorigenesis.
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Affiliation(s)
- Juliann Shih
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Tufts University School of Medicine, Boston, MA, USA
- Department of Internal Medicine, Kirk Kerkorian School of Medicine at the University of Nevada, Las Vegas, NV, USA
| | - Shahab Sarmashghi
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nadja Zhakula-Kostadinova
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Genetics and Development, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Shu Zhang
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yohanna Georgis
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Stephanie H Hoyt
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael S Cuoco
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Galen F Gao
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Liam F Spurr
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ashton C Berger
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gavin Ha
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Veronica Rendo
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hui Shen
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI, USA
| | - Matthew Meyerson
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Andrew D Cherniack
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alison M Taylor
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Rameen Beroukhim
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
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54
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Bredel M, Espinosa L, Kim H, Scholtens DM, McElroy JP, Rajbhandari R, Meng W, Kollmeyer TM, Malta TM, Quezada MA, Harsh GR, Lobo-Jarne T, Solé L, Merati A, Nagaraja S, Nair S, White JJ, Thudi NK, Fleming JL, Webb A, Natsume A, Ogawa S, Weber RG, Bertran J, Haque SJ, Hentschel B, Miller CR, Furnari FB, Chan TA, Grosu AL, Weller M, Barnholtz-Sloan JS, Monje M, Noushmehr H, Jenkins RB, Rogers CL, MacDonald DR, Pugh SL, Chakravarti A. Haploinsufficiency of NFKBIA reshapes the epigenome antipodal to the IDH mutation and imparts disease fate in diffuse gliomas. Cell Rep Med 2023; 4:101082. [PMID: 37343523 PMCID: PMC10314122 DOI: 10.1016/j.xcrm.2023.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/18/2022] [Accepted: 05/18/2023] [Indexed: 06/23/2023]
Abstract
Genetic alterations help predict the clinical behavior of diffuse gliomas, but some variability remains uncorrelated. Here, we demonstrate that haploinsufficient deletions of chromatin-bound tumor suppressor NFKB inhibitor alpha (NFKBIA) display distinct patterns of occurrence in relation to other genetic markers and are disproportionately present at recurrence. NFKBIA haploinsufficiency is associated with unfavorable patient outcomes, independent of genetic and clinicopathologic predictors. NFKBIA deletions reshape the DNA and histone methylome antipodal to the IDH mutation and induce a transcriptome landscape partly reminiscent of H3K27M mutant pediatric gliomas. In IDH mutant gliomas, NFKBIA deletions are common in tumors with a clinical course similar to that of IDH wild-type tumors. An externally validated nomogram model for estimating individual patient survival in IDH mutant gliomas confirms that NFKBIA deletions predict comparatively brief survival. Thus, NFKBIA haploinsufficiency aligns with distinct epigenome changes, portends a poor prognosis, and should be incorporated into models predicting the disease fate of diffuse gliomas.
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Affiliation(s)
- Markus Bredel
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA.
| | - Lluís Espinosa
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Denise M Scholtens
- Division of Biostatistics-Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Joseph P McElroy
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Rajani Rajbhandari
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Wei Meng
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Michael A Quezada
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Griffith R Harsh
- Department of Neurological Surgery, University of California at Davis School of Medicine, Sacramento, CA 95817, USA
| | - Teresa Lobo-Jarne
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Laura Solé
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Aran Merati
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Surya Nagaraja
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sindhu Nair
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jaclyn J White
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, NC 27103, USA
| | - Nanda K Thudi
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jessica L Fleming
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Amy Webb
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Atsushi Natsume
- Department of Neurosurgery, Nagoya University School of Medicine, Nagoya 464-8601, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto 606-8501, Japan
| | - Ruthild G Weber
- Institute for Human Genetics, Hannover Medical School, 30625 Hannover, Germany
| | - Joan Bertran
- Biosciences Department, Faculty of Sciences, Technology, and Engineering. University of Vic-Central University of Catalonia, 08500 Vic, Spain
| | - S Jaharul Haque
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Bettina Hentschel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany
| | - C Ryan Miller
- Division of Neuropathology-Department of Pathology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Frank B Furnari
- Laboratory of Tumor Biology, Division of Regenerative Medicine-Department of Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Comprehensive Cancer Center, University of Freiburg, 79106 Freiburg, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, 8091 Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics-National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michelle Monje
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - David R MacDonald
- London Regional Cancer Program, Western University, London, ON N6A 5W9, Canada
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, Philadelphia, PA 19103, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
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55
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Alfieri F, Caravagna G, Schaefer MH. Cancer genomes tolerate deleterious coding mutations through somatic copy number amplifications of wild-type regions. Nat Commun 2023; 14:3594. [PMID: 37328455 PMCID: PMC10276008 DOI: 10.1038/s41467-023-39313-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 06/01/2023] [Indexed: 06/18/2023] Open
Abstract
Cancers evolve under the accumulation of thousands of somatic mutations and chromosomal aberrations. While most coding mutations are deleterious, almost all protein-coding genes lack detectable signals of negative selection. This raises the question of how tumors tolerate such large amounts of deleterious mutations. Using 8,690 tumor samples from The Cancer Genome Atlas, we demonstrate that copy number amplifications frequently cover haploinsufficient genes in mutation-prone regions. This could increase tolerance towards the deleterious impact of mutations by creating safe copies of wild-type regions and, hence, protecting the genes therein. Our findings demonstrate that these potential buffering events are highly influenced by gene functions, essentiality, and mutation impact and that they occur early during tumor evolution. We show how cancer type-specific mutation landscapes drive copy number alteration patterns across cancer types. Ultimately, our work paves the way for the detection of novel cancer vulnerabilities by revealing genes that fall within amplifications likely selected during evolution to mitigate the effect of mutations.
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Affiliation(s)
- Fabio Alfieri
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, 20139, Italy
| | - Giulio Caravagna
- Department of Mathematics and Geosciences, University of Trieste, Trieste, 34127, Italy
| | - Martin H Schaefer
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, 20139, Italy.
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56
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Mircetic J, Camgöz A, Abohawya M, Ding L, Dietzel J, Tobar SG, Paszkowski-Rogacz M, Seidlitz T, Schmäche T, Mehnert MC, Sidorova O, Weitz J, Buchholz F, Stange DE. CRISPR/Cas9 Screen in Gastric Cancer Patient-Derived Organoids Reveals KDM1A-NDRG1 Axis as a Targetable Vulnerability. SMALL METHODS 2023; 7:e2201605. [PMID: 36908010 DOI: 10.1002/smtd.202201605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 02/01/2023] [Indexed: 06/09/2023]
Abstract
Viability CRISPR screens have proven indispensable in parsing genome function. However, their application in new, more physiologically relevant culturing systems like patient-derived organoids (PDOs) has been much slower. To probe epigenetic contribution to gastric cancer (GC), the third leading cause of cancer-related deaths worldwide, the first negative selection CRISPR screen in GC PDOs that faithfully preserve primary tumor characteristics is performed. Extensive quality control measurements showing feasibility of CRISPR screens in primary organoid culture are provided. The screen reveals the histone lysine demethylase-1A (KDM1A) to constitute a GC vulnerability. Both genetic and pharmacological inhibition of KDM1A cause organoid growth retardation. Further, it is shown that most of KDM1A cancer-supporting functions center on repression of N-myc downstream regulates gene-1 (NDRG1). De-repression of NDRG1 by KDM1A inhibitors (KDM1Ai) causes inhibition of Wnt signaling and a strong G1 cell cycle arrest. Finally, by profiling 20 GC PDOs, it is shown that NDRG1 upregulation predicts KDM1Ai response with 100% sensitivity and 82% specificity in the tested cohort. Thus, this work pioneers the use of negative selection CRISPR screens in patient-derived organoids, identifies a marker of KDM1Ai response, and accordingly a cohort of patients who may benefit from such therapy.
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Affiliation(s)
- Jovan Mircetic
- German Cancer Consortium (DKTK), Partner Site Dresden, German Cancer Research Center (DKFZ), 01309, Dresden, Germany
- Mildred Scheel Early Career Center (MSNZ) P2, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Aylin Camgöz
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- German Cancer Research Center (DKFZ), 01307, Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf (HZDR), 01307, Dresden, Germany
| | - Moustafa Abohawya
- German Cancer Consortium (DKTK), Partner Site Dresden, German Cancer Research Center (DKFZ), 01309, Dresden, Germany
| | - Li Ding
- Medical Systems Biology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Julia Dietzel
- Mildred Scheel Early Career Center (MSNZ) P2, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Sebastián García Tobar
- Mildred Scheel Early Career Center (MSNZ) P2, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Maciej Paszkowski-Rogacz
- Medical Systems Biology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Therese Seidlitz
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Tim Schmäche
- National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- German Cancer Research Center (DKFZ), 01307, Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf (HZDR), 01307, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Marie-Christin Mehnert
- Mildred Scheel Early Career Center (MSNZ) P2, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Olga Sidorova
- Medical Systems Biology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Experimental and Clinical Research Center (ECRC) of the Max Delbrück Center (MDC) and Charité Berlin, 10117, Berlin, Germany
| | - Jürgen Weitz
- National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- German Cancer Research Center (DKFZ), 01307, Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf (HZDR), 01307, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Frank Buchholz
- National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- German Cancer Research Center (DKFZ), 01307, Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf (HZDR), 01307, Dresden, Germany
- Medical Systems Biology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Daniel E Stange
- German Cancer Consortium (DKTK), Partner Site Dresden, German Cancer Research Center (DKFZ), 01309, Dresden, Germany
- National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- German Cancer Research Center (DKFZ), 01307, Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf (HZDR), 01307, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
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57
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Hayes BH, Zhu PK, Wang M, Pfeifer CR, Xia Y, Phan S, Andrechak JC, Du J, Tobin MP, Anlas A, Dooling LJ, Vashisth M, Irianto J, Lampson MA, Discher DE. Confinement plus myosin-II suppression maximizes heritable loss of chromosomes, as revealed by live-cell ChReporters. J Cell Sci 2023; 136:jcs260753. [PMID: 37288769 PMCID: PMC10309578 DOI: 10.1242/jcs.260753] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/27/2023] [Indexed: 05/10/2023] Open
Abstract
The mechanical environment of a cell can have many effects, but whether it impacts the DNA sequence of a cell has remained unexamined. To investigate this, we developed a live-cell method to measure changes in chromosome numbers. We edited constitutive genes with GFP or RFP tags on single alleles and discovered that cells that lose Chromosome reporters (ChReporters) become non-fluorescent. We applied our new tools to confined mitosis and to inhibition of the putative tumor suppressor myosin-II. We quantified compression of mitotic chromatin in vivo and demonstrated that similar compression in vitro resulted in cell death, but also rare and heritable ChReptorter loss. Myosin-II suppression rescued lethal multipolar divisions and maximized ChReporter loss during three-dimensional (3D) compression and two-dimensional (2D) lateral confinement, but not in standard 2D culture. ChReporter loss was associated with chromosome mis-segregation, rather than just the number of divisions, and loss in vitro and in mice was selected against in subsequent 2D cultures. Inhibition of the spindle assembly checkpoint (SAC) caused ChReporter loss in 2D culture, as expected, but not during 3D compression, suggesting a SAC perturbation. Thus, ChReporters enable diverse studies of viable genetic changes, and show that confinement and myosin-II affect DNA sequence and mechano-evolution.
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Affiliation(s)
- Brandon H. Hayes
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Peter Kuangzheng Zhu
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mai Wang
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Charlotte R. Pfeifer
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yuntao Xia
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven Phan
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jason C. Andrechak
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Junhong Du
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael P. Tobin
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alisya Anlas
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lawrence J. Dooling
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Manasvita Vashisth
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jerome Irianto
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael A. Lampson
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dennis E. Discher
- Mol. Cell Biophysics Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
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58
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Price E, Fedida LM, Pugacheva EM, Ji YJ, Loukinov D, Lobanenkov VV. An updated catalog of CTCF variants associated with neurodevelopmental disorder phenotypes. Front Mol Neurosci 2023; 16:1185796. [PMID: 37324587 PMCID: PMC10264798 DOI: 10.3389/fnmol.2023.1185796] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/02/2023] [Indexed: 06/17/2023] Open
Abstract
Introduction CTCF-related disorder (CRD) is a neurodevelopmental disorder (NDD) caused by monoallelic pathogenic variants in CTCF. The first CTCF variants in CRD cases were documented in 2013. To date, 76 CTCF variants have been further described in the literature. In recent years, due to the increased application of next-generation sequencing (NGS), growing numbers of CTCF variants are being identified, and multiple genotype-phenotype databases cataloging such variants are emerging. Methods In this study, we aimed to expand the genotypic spectrum of CRD, by cataloging NDD phenotypes associated with reported CTCF variants. Here, we systematically reviewed all known CTCF variants reported in case studies and large-scale exome sequencing cohorts. We also conducted a meta-analysis using public variant data from genotype-phenotype databases to identify additional CTCF variants, which we then curated and annotated. Results From this combined approach, we report an additional 86 CTCF variants associated with NDD phenotypes that have not yet been described in the literature. Furthermore, we describe and explain inconsistencies in the quality of reported variants, which impairs the reuse of data for research of NDDs and other pathologies. Discussion From this integrated analysis, we provide a comprehensive and annotated catalog of all currently known CTCF mutations associated with NDD phenotypes, to aid diagnostic applications, as well as translational and basic research.
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59
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Zhu X, Zhao W, Zhou Z, Gu X. Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools. J Mol Evol 2023:10.1007/s00239-023-10117-0. [PMID: 37246992 DOI: 10.1007/s00239-023-10117-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 05/09/2023] [Indexed: 05/30/2023]
Abstract
Cancer originates from somatic cells that have accumulated mutations. These mutations alter the phenotype of the cells, allowing them to escape homeostatic regulation that maintains normal cell numbers. The emergence of malignancies is an evolutionary process in which the random accumulation of somatic mutations and sequential selection of dominant clones cause cancer cells to proliferate. The development of technologies such as high-throughput sequencing has provided a powerful means to measure subclonal evolutionary dynamics across space and time. Here, we review the patterns that may be observed in cancer evolution and the methods available for quantifying the evolutionary dynamics of cancer. An improved understanding of the evolutionary trajectories of cancer will enable us to explore the molecular mechanism of tumorigenesis and to design tailored treatment strategies.
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Affiliation(s)
- Xunuo Zhu
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Wenyi Zhao
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhan Zhou
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
- The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China.
- Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 310058, China.
| | - Xun Gu
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA.
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60
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van Ree JH, Jeganathan KB, Fierro Velasco RO, Zhang C, Can I, Hamada M, Li H, Baker DJ, van Deursen JM. Hyperphosphorylated PTEN exerts oncogenic properties. Nat Commun 2023; 14:2983. [PMID: 37225693 PMCID: PMC10209192 DOI: 10.1038/s41467-023-38740-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 05/12/2023] [Indexed: 05/26/2023] Open
Abstract
PTEN is a multifaceted tumor suppressor that is highly sensitive to alterations in expression or function. The PTEN C-tail domain, which is rich in phosphorylation sites, has been implicated in PTEN stability, localization, catalytic activity, and protein interactions, but its role in tumorigenesis remains unclear. To address this, we utilized several mouse strains with nonlethal C-tail mutations. Mice homozygous for a deletion that includes S370, S380, T382 and T383 contain low PTEN levels and hyperactive AKT but are not tumor prone. Analysis of mice containing nonphosphorylatable or phosphomimetic versions of S380, a residue hyperphosphorylated in human gastric cancers, reveal that PTEN stability and ability to inhibit PI3K-AKT depends on dynamic phosphorylation-dephosphorylation of this residue. While phosphomimetic S380 drives neoplastic growth in prostate by promoting nuclear accumulation of β-catenin, nonphosphorylatable S380 is not tumorigenic. These data suggest that C-tail hyperphosphorylation creates oncogenic PTEN and is a potential target for anti-cancer therapy.
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Affiliation(s)
- Janine H van Ree
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Karthik B Jeganathan
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Cheng Zhang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Ismail Can
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Masakazu Hamada
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Darren J Baker
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Jan M van Deursen
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
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61
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Zhang L, Park JJ, Dong MB, Arsala D, Xia S, Chen J, Sosa D, Atlas JE, Long M, Chen S. Human gene age dating reveals an early and rapid evolutionary construction of the adaptive immune system. Genome Biol Evol 2023; 15:evad081. [PMID: 37170918 PMCID: PMC10210621 DOI: 10.1093/gbe/evad081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/24/2023] [Accepted: 05/02/2023] [Indexed: 05/13/2023] Open
Abstract
T cells are a type of white blood cell that play a critical role in the immune response against foreign pathogens through a process called T Cell Adaptive Immunity (TCAI). However, the evolution of the genes and nucleotide sequences involved in TCAI is not well understood. To investigate this, we performed comparative studies of gene annotations and genome assemblies of 28 vertebrate species and identified sets of human genes that are involved in TCAI, carcinogenesis, and ageing. We found that these gene sets share interaction pathways which may have contributed to the evolution of longevity in the vertebrate lineage leading to humans. Our human gene age dating analyses revealed that there was rapid origination of genes with TCAI-related functions prior to the Cretaceous eutherian radiation and these new genes mainly encode negative regulators. We identified no new TCAI-related genes after the divergence of placental mammals, but we did detect an extensive number of amino acid substitutions under strong positive selection in recently evolved human immunity genes suggesting they are co-evolving with adaptive immunity. More specifically, we observed that antigen processing and presentation and checkpoint genes are significantly enriched among new genes evolving under positive selection. These observations reveal an evolutionary process of T Cell Adaptive Immunity that were associated with rapid gene duplication in the early stages of vertebrates and subsequent sequence changes in TCAI-related genes. These processes together suggest an early genetic construction of the vertebrate immune system and subsequent molecular adaptation to diverse antigens.
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Affiliation(s)
- Li Zhang
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
| | - Jonathan J Park
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
| | - Matthew B Dong
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
- Immunobiology Program, The Anlyan Center, New Haven, Connecticut, USA
- Department of Immunobiology, The Anlyan Center, New Haven, Connecticut, USA
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Jianhai Chen
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Dylan Sosa
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Jared E Atlas
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, USA
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Sidi Chen
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
- Immunobiology Program, The Anlyan Center, New Haven, Connecticut, USA
- Yale Comprehensive Cancer Center, New Haven, Connecticut, USA
- Yale Stem Cell Center, Yale University School of Medicine, New Haven, Connecticut, USA
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Kikutake C, Suyama M. Possible involvement of silent mutations in cancer pathogenesis and evolution. Sci Rep 2023; 13:7593. [PMID: 37165041 PMCID: PMC10172315 DOI: 10.1038/s41598-023-34452-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/30/2023] [Indexed: 05/12/2023] Open
Abstract
Recent studies have shown that some silent mutations can be harmful to various processes. In this study, we performed a comprehensive in silico analysis to elucidate the effects of silent mutations on cancer pathogenesis using exome sequencing data derived from the Cancer Genome Atlas. We focused on the codon optimality scores of silent mutations, which were defined as the difference between the optimality of synonymous codons, calculated using the codon usage table. The relationship between cancer evolution and silent mutations showed that the codon optimality score of the mutations that occurred later in carcinogenesis was significantly higher than of those that occurred earlier. In addition, mutations with higher scores were enriched in genes involved in the cell cycle and cell division, while those with lower scores were enriched in genes involved in apoptosis and cellular senescence. Our results demonstrate that some silent mutations can be involved in cancer pathogenesis.
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Affiliation(s)
- Chie Kikutake
- Division of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582, Japan
| | - Mikita Suyama
- Division of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582, Japan.
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63
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Weischenfeldt J, Ibrahim DM. When 3D genome changes cause disease: the impact of structural variations in congenital disease and cancer. Curr Opin Genet Dev 2023; 80:102048. [PMID: 37156210 DOI: 10.1016/j.gde.2023.102048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/04/2023] [Accepted: 04/04/2023] [Indexed: 05/10/2023]
Abstract
Large structural variations (SV) are a class of mutations that have long been known to cause a wide range of genetic diseases, from rare congenital disease to cancer. Many of these SVs do not directly disrupt disease-related genes and determining causal genotype-phenotype relationships has been challenging to disentangle in the past. This has started to change with our increased understanding of the 3D genome folding. The pathophysiologies of the different types of genetic diseases influence the type of SVs observed and their genetic consequences, and how these are connected to 3D genome folding. We propose guiding principles for interpreting disease-associated SVs based on our current understanding of 3D chromatin architecture and the gene-regulatory and physiological mechanisms disrupted in disease.
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Affiliation(s)
- Joachim Weischenfeldt
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark; The Finsen Laboratory, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Urology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Daniel M Ibrahim
- Berlin Institute of Health at Charité - Universitätsmedizin, BIH Center for Regenerative Therapies, Berlin, Germany; Max-Planck Institute for Molecular Genetics, Berlin, Germany.
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64
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Bosco N, Goldberg A, Zhao X, Mays JC, Cheng P, Johnson AF, Bianchi JJ, Toscani C, Di Tommaso E, Katsnelson L, Annuar D, Mei S, Faitelson RE, Pesselev IY, Mohamed KS, Mermerian A, Camacho-Hernandez EM, Gionco CA, Manikas J, Tseng YS, Sun Z, Fani S, Keegan S, Lippman SM, Fenyö D, Giunta S, Santaguida S, Davoli T. KaryoCreate: A CRISPR-based technology to study chromosome-specific aneuploidy by targeting human centromeres. Cell 2023; 186:1985-2001.e19. [PMID: 37075754 PMCID: PMC10676289 DOI: 10.1016/j.cell.2023.03.029] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 11/17/2022] [Accepted: 03/23/2023] [Indexed: 04/21/2023]
Abstract
Aneuploidy, the presence of chromosome gains or losses, is a hallmark of cancer. Here, we describe KaryoCreate (karyotype CRISPR-engineered aneuploidy technology), a system that enables the generation of chromosome-specific aneuploidies by co-expression of an sgRNA targeting chromosome-specific CENPA-binding ɑ-satellite repeats together with dCas9 fused to mutant KNL1. We design unique and highly specific sgRNAs for 19 of the 24 chromosomes. Expression of these constructs leads to missegregation and induction of gains or losses of the targeted chromosome in cellular progeny, with an average efficiency of 8% for gains and 12% for losses (up to 20%) validated across 10 chromosomes. Using KaryoCreate in colon epithelial cells, we show that chromosome 18q loss, frequent in gastrointestinal cancers, promotes resistance to TGF-β, likely due to synergistic hemizygous deletion of multiple genes. Altogether, we describe an innovative technology to create and study chromosome missegregation and aneuploidy in the context of cancer and beyond.
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Affiliation(s)
- Nazario Bosco
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Aleah Goldberg
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Xin Zhao
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Joseph C Mays
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Pan Cheng
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Adam F Johnson
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Joy J Bianchi
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Cecilia Toscani
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Elena Di Tommaso
- Department of Biology and Biotechnology Charles Darwin, University of Rome "La Sapienza", 00185 Rome, Italy
| | - Lizabeth Katsnelson
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Dania Annuar
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Sally Mei
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Roni E Faitelson
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Ilan Y Pesselev
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Kareem S Mohamed
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Angela Mermerian
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Elaine M Camacho-Hernandez
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Courtney A Gionco
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Julie Manikas
- Department of Cell Biology, NYU Langone Health, New York, NY, USA
| | - Yi-Shuan Tseng
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Zhengxi Sun
- Department of Pathology and Laura & Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY, USA
| | - Somayeh Fani
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Sarah Keegan
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Scott M Lippman
- Moores Cancer Center, University of California, San Diego, 3855 Health Sciences Drive, La Jolla, CA 92093, USA
| | - David Fenyö
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Simona Giunta
- Department of Biology and Biotechnology Charles Darwin, University of Rome "La Sapienza", 00185 Rome, Italy
| | - Stefano Santaguida
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, 20141 Milan, Italy
| | - Teresa Davoli
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA.
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Striker SS, Wilferd SF, Lewis EM, O'Connor SA, Plaisier CL. Systematic integration of protein-affecting mutations, gene fusions, and copy number alterations into a comprehensive somatic mutational profile. CELL REPORTS METHODS 2023; 3:100442. [PMID: 37159661 PMCID: PMC10162952 DOI: 10.1016/j.crmeth.2023.100442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/21/2022] [Accepted: 03/10/2023] [Indexed: 05/11/2023]
Abstract
Somatic mutations occur as random genetic changes in genes through protein-affecting mutations (PAMs), gene fusions, or copy number alterations (CNAs). Mutations of different types can have a similar phenotypic effect (i.e., allelic heterogeneity) and should be integrated into a unified gene mutation profile. We developed OncoMerge to fill this niche of integrating somatic mutations to capture allelic heterogeneity, assign a function to mutations, and overcome known obstacles in cancer genetics. Application of OncoMerge to TCGA Pan-Cancer Atlas increased detection of somatically mutated genes and improved the prediction of the somatic mutation role as either activating or loss of function. Using integrated somatic mutation matrices increased the power to infer gene regulatory networks and uncovered the enrichment of switch-like feedback motifs and delay-inducing feedforward loops. These studies demonstrate that OncoMerge efficiently integrates PAMs, fusions, and CNAs and strengthens downstream analyses linking somatic mutations to cancer phenotypes.
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Affiliation(s)
- Shawn S. Striker
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Sierra F. Wilferd
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Erika M. Lewis
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Samantha A. O'Connor
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Christopher L. Plaisier
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
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66
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Pompei S, Cosentino Lagomarsino M. A fitness trade-off explains the early fate of yeast aneuploids with chromosome gains. Proc Natl Acad Sci U S A 2023; 120:e2211687120. [PMID: 37018197 PMCID: PMC10104565 DOI: 10.1073/pnas.2211687120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 02/19/2023] [Indexed: 04/06/2023] Open
Abstract
The early development of aneuploidy from an accidental chromosome missegregation shows contrasting effects. On the one hand, it is associated with significant cellular stress and decreased fitness. On the other hand, it often carries a beneficial effect and provides a quick (but typically transient) solution to external stress. These apparently controversial trends emerge in several experimental contexts, particularly in the presence of duplicated chromosomes. However, we lack a mathematical evolutionary modeling framework that comprehensively captures these trends from the mutational dynamics and the trade-offs involved in the early stages of aneuploidy. Here, focusing on chromosome gains, we address this point by introducing a fitness model where a fitness cost of chromosome duplications is contrasted by a fitness advantage from the dosage of specific genes. The model successfully captures the experimentally measured probability of emergence of extra chromosomes in a laboratory evolution setup. Additionally, using phenotypic data collected in rich media, we explored the fitness landscape, finding evidence supporting the existence of a per-gene cost of extra chromosomes. Finally, we show that the substitution dynamics of our model, evaluated in the empirical fitness landscape, explains the relative abundance of duplicated chromosomes observed in yeast population genomics data. These findings lay a firm framework for the understanding of the establishment of newly duplicated chromosomes, providing testable quantitative predictions for future observations.
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Affiliation(s)
- Simone Pompei
- IFOM ETS (Ente del Terzo Settore) - The AIRC (Associazione Italiana per la Ricerca sul Cancro) Institute of Molecular Oncology, Milano20139, Italy
| | - Marco Cosentino Lagomarsino
- IFOM ETS (Ente del Terzo Settore) - The AIRC (Associazione Italiana per la Ricerca sul Cancro) Institute of Molecular Oncology, Milano20139, Italy
- Dipartimento di Fisica, Università degli Studi di Milano, Milano20133, Italy
- Istituto Nazionale di Fisica Nucleare (INFN) sezione di Milano, Milano20133, Italy
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67
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Garribba L, De Feudis G, Martis V, Galli M, Dumont M, Eliezer Y, Wardenaar R, Ippolito MR, Iyer DR, Tijhuis AE, Spierings DCJ, Schubert M, Taglietti S, Soriani C, Gemble S, Basto R, Rhind N, Foijer F, Ben-David U, Fachinetti D, Doksani Y, Santaguida S. Short-term molecular consequences of chromosome mis-segregation for genome stability. Nat Commun 2023; 14:1353. [PMID: 36906648 PMCID: PMC10008630 DOI: 10.1038/s41467-023-37095-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 03/01/2023] [Indexed: 03/13/2023] Open
Abstract
Chromosome instability (CIN) is the most common form of genome instability and is a hallmark of cancer. CIN invariably leads to aneuploidy, a state of karyotype imbalance. Here, we show that aneuploidy can also trigger CIN. We found that aneuploid cells experience DNA replication stress in their first S-phase and precipitate in a state of continuous CIN. This generates a repertoire of genetically diverse cells with structural chromosomal abnormalities that can either continue proliferating or stop dividing. Cycling aneuploid cells display lower karyotype complexity compared to the arrested ones and increased expression of DNA repair signatures. Interestingly, the same signatures are upregulated in highly-proliferative cancer cells, which might enable them to proliferate despite the disadvantage conferred by aneuploidy-induced CIN. Altogether, our study reveals the short-term origins of CIN following aneuploidy and indicates the aneuploid state of cancer cells as a point mutation-independent source of genome instability, providing an explanation for aneuploidy occurrence in tumors.
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Affiliation(s)
- Lorenza Garribba
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Giuseppina De Feudis
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Valentino Martis
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Martina Galli
- IFOM ETS - The AIRC Institute of Molecular Oncology, via Adamello 16, 20139, Milan, Italy
| | - Marie Dumont
- Institut Curie, PSL Research University, CNRS, UMR144, Paris, France
| | - Yonatan Eliezer
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - René Wardenaar
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, the Netherlands
| | - Marica Rosaria Ippolito
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Divya Ramalingam Iyer
- Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, 364 Plantation Street, Worcester, MA, 01605, USA
| | - Andréa E Tijhuis
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, the Netherlands
| | - Diana C J Spierings
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, the Netherlands
| | - Michael Schubert
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, the Netherlands
| | - Silvia Taglietti
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Chiara Soriani
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Simon Gemble
- Institut Curie, PSL Research University, CNRS, UMR144, Paris, France
| | - Renata Basto
- Institut Curie, PSL Research University, CNRS, UMR144, Paris, France
| | - Nick Rhind
- Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, 364 Plantation Street, Worcester, MA, 01605, USA
| | - Floris Foijer
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, the Netherlands
| | - Uri Ben-David
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Ylli Doksani
- IFOM ETS - The AIRC Institute of Molecular Oncology, via Adamello 16, 20139, Milan, Italy
| | - Stefano Santaguida
- Department of Experimental Oncology at IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy.
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9/1, 20122, Milan, Italy.
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68
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Weiss-Sadan T, Ge M, Hayashi M, Gohar M, Yao CH, de Groot A, Harry S, Carlin A, Fischer H, Shi L, Wei TY, Adelmann CH, Wolf K, Vornbäumen T, Dürr BR, Takahashi M, Richter M, Zhang J, Yang TY, Vijay V, Fisher DE, Hata AN, Haigis MC, Mostoslavsky R, Bardeesy N, Papagiannakopoulos T, Bar-Peled L. NRF2 activation induces NADH-reductive stress, providing a metabolic vulnerability in lung cancer. Cell Metab 2023; 35:487-503.e7. [PMID: 36841242 PMCID: PMC9998367 DOI: 10.1016/j.cmet.2023.01.012] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/15/2022] [Accepted: 01/26/2023] [Indexed: 02/27/2023]
Abstract
Multiple cancers regulate oxidative stress by activating the transcription factor NRF2 through mutation of its negative regulator, KEAP1. NRF2 has been studied extensively in KEAP1-mutant cancers; however, the role of this pathway in cancers with wild-type KEAP1 remains poorly understood. To answer this question, we induced NRF2 via pharmacological inactivation of KEAP1 in a panel of 50+ non-small cell lung cancer cell lines. Unexpectedly, marked decreases in viability were observed in >13% of the cell lines-an effect that was rescued by NRF2 ablation. Genome-wide and targeted CRISPR screens revealed that NRF2 induces NADH-reductive stress, through the upregulation of the NAD+-consuming enzyme ALDH3A1. Leveraging these findings, we show that cells treated with KEAP1 inhibitors or those with endogenous KEAP1 mutations are selectively vulnerable to Complex I inhibition, which impairs NADH oxidation capacity and potentiates reductive stress. Thus, we identify reductive stress as a metabolic vulnerability in NRF2-activated lung cancers.
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Affiliation(s)
- Tommy Weiss-Sadan
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Maolin Ge
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA.
| | - Makiko Hayashi
- Department of Pathology, New York University Grossman School of Medicine, 550 First Avenue, New York, NY 10016, USA; Laura and Isaac Pelmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Magdy Gohar
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cong-Hui Yao
- Department of Cell Biology, Blavatnik Institute Harvard Medical School, Boston, MA 02115, USA
| | - Adriaan de Groot
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Stefan Harry
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Alexander Carlin
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hannah Fischer
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lei Shi
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ting-Yu Wei
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Charles H Adelmann
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Konstantin Wolf
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tristan Vornbäumen
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Benedikt R Dürr
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Mariko Takahashi
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marianne Richter
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Junbing Zhang
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tzu-Yi Yang
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Vindhya Vijay
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David E Fisher
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Aaron N Hata
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Marcia C Haigis
- Department of Cell Biology, Blavatnik Institute Harvard Medical School, Boston, MA 02115, USA
| | - Raul Mostoslavsky
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Nabeel Bardeesy
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; The MGH Center for Regenerative Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Thales Papagiannakopoulos
- Department of Pathology, New York University Grossman School of Medicine, 550 First Avenue, New York, NY 10016, USA; Laura and Isaac Pelmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Liron Bar-Peled
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA; The MGH Center for Regenerative Medicine, Harvard Medical School, Boston, MA 02114, USA.
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69
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Orme JJ, Mer G, Huang H. Hidden tricks in MATH: Hypermorphic mutations in SPOP tumor suppressor explained by cryo-EM. Mol Cell 2023; 83:655-656. [PMID: 36868187 PMCID: PMC10984391 DOI: 10.1016/j.molcel.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/01/2023] [Accepted: 02/01/2023] [Indexed: 03/05/2023]
Abstract
Loss-of-function mutations in SPOP E3 ubiquitin ligase drive multiple cancers. However, carcinogenic gain-of-function SPOP mutations have been a major puzzle. In this issue of Molecular Cell, Cuneo et al.1 show that several mutations map to SPOP oligomerization interfaces. Additional questions remain about SPOP mutations in malignancy.
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Affiliation(s)
- Jacob J Orme
- Division of Medical Oncology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Georges Mer
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Haojie Huang
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
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70
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Cuneo MJ, O'Flynn BG, Lo YH, Sabri N, Mittag T. Higher-order SPOP assembly reveals a basis for cancer mutant dysregulation. Mol Cell 2023; 83:731-745.e4. [PMID: 36693379 PMCID: PMC9992347 DOI: 10.1016/j.molcel.2022.12.033] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/19/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023]
Abstract
The speckle-type POZ protein (SPOP) functions in the Cullin3-RING ubiquitin ligase (CRL3) as a receptor for the recognition of substrates involved in cell growth, survival, and signaling. SPOP mutations have been attributed to the development of many types of cancers, including prostate and endometrial cancers. Prostate cancer mutations localize in the substrate-binding site of the substrate recognition (MATH) domain and reduce or prevent binding. However, most endometrial cancer mutations are dispersed in seemingly inconspicuous solvent-exposed regions of SPOP, offering no clear basis for their cancer-causing and peculiar gain-of-function properties. Herein, we present the first structure of SPOP in its oligomeric form, uncovering several new interfaces important for SPOP self-assembly and normal function. Given that many previously unaccounted-for cancer mutations are localized in these newly identified interfaces, we uncover molecular mechanisms underlying dysregulation of SPOP function, with effects ranging from gross structural changes to enhanced self-association, and heightened stability and activity.
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Affiliation(s)
- Matthew J Cuneo
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38103, USA
| | - Brian G O'Flynn
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38103, USA
| | - Yu-Hua Lo
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38103, USA
| | - Nafiseh Sabri
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38103, USA
| | - Tanja Mittag
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38103, USA.
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71
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Wu Z, Zheng J, Zhang H, Shen N, Luo X, Shen C, Song P, Zhang Y, Zhang M, Yang S, Guo G, Xue X, Zhang F, Feng S. Molecular characteristics, oncogenic roles, and relevant immune and pharmacogenomic features of NEK2 in gastric cancer. Int Immunopharmacol 2023; 116:109737. [PMID: 36738674 DOI: 10.1016/j.intimp.2023.109737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 02/05/2023]
Abstract
Gastric cancer (GC) is the most common form of gastrointestinal cancer, with a high mortality rate and limited treatment options. High levels of NEK2 are associated with malignant progression and a poor prognosis in several tumors; however, the role of NEK2 in GC remains unclear. We aimed to explore the potential role of NEK2 in the oncogenesis of GC and in the shaping of the tumor microenvironment (TME). The expression levels of NEK2 were analyzed using immunohistochemistry and real-time quantitative polymerase chain reaction. We found that NEK2 expression was upregulated in GC and was a predictor of a poor prognosis. Based on Kyoto Encyclopedia of Genes and Genomes pathway enrichment and gene set enrichment analyses, multiple tumor pathways were hyperactivated in patients with high NEK2 mRNA expression. Immunological characteristics indicated that NEK2 upregulation might lead to decreased immune cell infiltration and weakened immune activity in the cancer immunity cycle. Additionally, higher frequencies of amplifications and deletions were observed in the high NEK2 expression subpopulation. Based on the TME classification, patients with high expression of NEK2 were more susceptible to targeted therapy with drugs targeting the cell cycle and DNA replication. Following verification, a NEK2-derived genomic model reliably predicted the patient prognosis; A nomogram (radiation therapy, tumor/node/metastasis staging, and the NEK2-derived risk score) was used to better estimate an individual's survival probability. In summary, our findings indicate that NEK2 plays a vital role in the tumorigenesis of GC.
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Affiliation(s)
- Zhonghan Wu
- School of the First Clinical College, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Zheng
- The Fifth Affiliated Hospital of Wenzhou Medical University& Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - Haoke Zhang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ningzhe Shen
- First Clinical College, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiaohui Luo
- School of the First Clinical College, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Chenfang Shen
- The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
| | - Peining Song
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Zhang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Min Zhang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shaopeng Yang
- School of the First Clinical College, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Gangqiang Guo
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiangyang Xue
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Fabiao Zhang
- Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Department of Hepatic-Biliary-Pancreatic Surgery, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zheiang, China.
| | - Shiyu Feng
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-Related Pathogens and Immunity, Wenzhou Medical University, Wenzhou, Zhejiang, China.
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72
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Liu X, Teng L, Zuo W, Zhong S, Xu Y, Sun J. Deafness gene screening based on a multilevel cascaded BPNN model. BMC Bioinformatics 2023; 24:56. [PMID: 36803022 PMCID: PMC9942297 DOI: 10.1186/s12859-023-05182-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/11/2023] [Indexed: 02/22/2023] Open
Abstract
Sudden sensorineural hearing loss is a common and frequently occurring condition in otolaryngology. Existing studies have shown that sudden sensorineural hearing loss is closely associated with mutations in genes for inherited deafness. To identify these genes associated with deafness, researchers have mostly used biological experiments, which are accurate but time-consuming and laborious. In this paper, we proposed a computational method based on machine learning to predict deafness-associated genes. The model is based on several basic backpropagation neural networks (BPNNs), which were cascaded as multiple-level BPNN models. The cascaded BPNN model showed a stronger ability for screening deafness-associated genes than the conventional BPNN. A total of 211 of 214 deafness-associated genes from the deafness variant database (DVD v9.0) were used as positive data, and 2110 genes extracted from chromosomes were used as negative data to train our model. The test achieved a mean AUC higher than 0.98. Furthermore, to illustrate the predictive performance of the model for suspected deafness-associated genes, we analyzed the remaining 17,711 genes in the human genome and screened the 20 genes with the highest scores as highly suspected deafness-associated genes. Among these 20 predicted genes, three genes were mentioned as deafness-associated genes in the literature. The analysis showed that our approach has the potential to screen out highly suspected deafness-associated genes from a large number of genes, and our predictions could be valuable for future research and discovery of deafness-associated genes.
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Affiliation(s)
- Xiao Liu
- School of Microelectronics and Communication Engineering, Chongqing University, 174 Shapingba District, Chongqing, 400044, China.
| | - Li Teng
- grid.190737.b0000 0001 0154 0904School of Microelectronics and Communication Engineering, Chongqing University, 174 Shapingba District, Chongqing, 400044 China
| | - Wenqi Zuo
- grid.452206.70000 0004 1758 417XDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, NO. 1 Youyi Road, Yuzhong District, Chongqing, 400016 China
| | - Shixun Zhong
- grid.452206.70000 0004 1758 417XDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, NO. 1 Youyi Road, Yuzhong District, Chongqing, 400016 China
| | - Yuqiao Xu
- grid.190737.b0000 0001 0154 0904School of Microelectronics and Communication Engineering, Chongqing University, 174 Shapingba District, Chongqing, 400044 China
| | - Jing Sun
- grid.190737.b0000 0001 0154 0904School of Microelectronics and Communication Engineering, Chongqing University, 174 Shapingba District, Chongqing, 400044 China
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73
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Unraveling the Impact of Intratumoral Heterogeneity on EGFR Tyrosine Kinase Inhibitor Resistance in EGFR-Mutated NSCLC. Int J Mol Sci 2023; 24:ijms24044126. [PMID: 36835536 PMCID: PMC9964908 DOI: 10.3390/ijms24044126] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
The advent of tyrosine kinase inhibitors (TKIs) for treating epidermal growth factor receptor (EGFR)-mutated non-small-cell lung cancer (NSCLC) has been a game changer in lung cancer therapy. However, patients often develop resistance to the drugs within a few years. Despite numerous studies that have explored resistance mechanisms, particularly in regards to collateral signal pathway activation, the underlying biology of resistance remains largely unknown. This review focuses on the resistance mechanisms of EGFR-mutated NSCLC from the standpoint of intratumoral heterogeneity, as the biological mechanisms behind resistance are diverse and largely unclear. There exist various subclonal tumor populations in an individual tumor. For lung cancer patients, drug-tolerant persister (DTP) cell populations may have a pivotal role in accelerating the evolution of tumor resistance to treatment through neutral selection. Cancer cells undergo various changes to adapt to the new tumor microenvironment caused by drug exposure. DTP cells may play a crucial role in this adaptation and may be fundamental in mechanisms of resistance. Intratumoral heterogeneity may also be precipitated by DNA gains and losses through chromosomal instability, and the role of extrachromosomal DNA (ecDNA) may play an important role. Significantly, ecDNA can increase oncogene copy number alterations and enhance intratumoral heterogeneity more effectively than chromosomal instability. Additionally, advances in comprehensive genomic profiling have given us insights into various mutations and concurrent genetic alterations other than EGFR mutations, inducing primary resistance in the context of tumor heterogeneity. Understanding the mechanisms of resistance is clinically crucial since these molecular interlayers in cancer-resistance mechanisms may help to devise novel and individualized anticancer therapeutic approaches.
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74
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. RESEARCH SQUARE 2023:rs.3.rs-2515453. [PMID: 36778386 PMCID: PMC9915771 DOI: 10.21203/rs.3.rs-2515453/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hematologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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Affiliation(s)
- Goo Jun
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
| | - Adam C English
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Ginger A Metcalf
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Jianzhi Yang
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Vipin K Menon
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | | | | | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - John A Lane
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Tom Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Hyun Min Kang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Sejal Salvi
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Qingchang Meng
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Hua Shen
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Divya Pasham
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Sravya Bhamidipati
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Kavya Kottapalli
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Donna K. Arnett
- Department of Epidemiology, University of Kentucky College of Public Health
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, NC
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Paul L. Auer
- Division of Biostatistics and Cancer Center, Medical College of Wisconsin, Milwaukee WI
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX
| | - Donald W. Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | - Yii-Der Ida Chen
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Joanne E. Curran
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tasha Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, 1400 Jackson St., Denver, CO, 80206, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, Taiwan
| | - John P Kane
- Cardiovascular Research Institute, University of California, San Francisco
| | - Robert Kaplan
- Department of epidemiology and population health, Albert Einstein College of Medicine, Bronx NY USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco CA
| | - Rasika A. Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stephen T. McGarvey
- Department of Epidemiology, International Health Institute and Department of Anthropology, Brown University
| | - Courtney Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
| | - S. Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | | | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephen S. Rich
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg, School of Public Health, Baltimore, MD, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Christine E. Seidman
- Department of Genetics, Harvard Medical School
- Cardiovascular Division, Brigham & Women’s Hospital, Harvard University
- Howard Hughes Medical Institute, Harvard University
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Jennifer A. Smith
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Adrienne Stilp
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Marilyn J. Telen
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Baojun Wu
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Lisa R. Yanek
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Susan K. Dutcher
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Ryan Kim
- Psomagen, Inc.,Rockville, Maryland, USA
| | | | | | | | - James Luo
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Goncalo Abecasis
- Regeneron Genetics Center
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Fritz J Sedlazeck
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
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75
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Sebert M, Gachet S, Leblanc T, Rousseau A, Bluteau O, Kim R, Ben Abdelali R, Sicre de Fontbrune F, Maillard L, Fedronie C, Murigneux V, Bellenger L, Naouar N, Quentin S, Hernandez L, Vasquez N, Da Costa M, Prata PH, Larcher L, de Tersant M, Duchmann M, Raimbault A, Trimoreau F, Fenneteau O, Cuccuini W, Gachard N, Auger N, Tueur G, Blanluet M, Gazin C, Souyri M, Langa Vives F, Mendez-Bermudez A, Lapillonne H, Lengline E, Raffoux E, Fenaux P, Adès L, Forcade E, Jubert C, Domenech C, Strullu M, Bruno B, Buchbinder N, Thomas C, Petit A, Leverger G, Michel G, Cavazzana M, Gluckman E, Bertrand Y, Boissel N, Baruchel A, Dalle JH, Clappier E, Gilson E, Deriano L, Chevret S, Sigaux F, Socié G, Stoppa-Lyonnet D, de Thé H, Antoniewski C, Bluteau D, Peffault de Latour R, Soulier J. Clonal hematopoiesis driven by chromosome 1q/MDM4 trisomy defines a canonical route toward leukemia in Fanconi anemia. Cell Stem Cell 2023; 30:153-170.e9. [PMID: 36736290 DOI: 10.1016/j.stem.2023.01.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/02/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
Fanconi anemia (FA) patients experience chromosome instability, yielding hematopoietic stem/progenitor cell (HSPC) exhaustion and predisposition to poor-prognosis myeloid leukemia. Based on a longitudinal cohort of 335 patients, we performed clinical, genomic, and functional studies in 62 patients with clonal evolution. We found a unique pattern of somatic structural variants and mutations that shares features of BRCA-related cancers, the FA-hallmark being unbalanced, microhomology-mediated translocations driving copy-number alterations. Half the patients developed chromosome 1q gain, driving clonal hematopoiesis through MDM4 trisomy downmodulating p53 signaling later followed by secondary acute myeloid lukemia genomic alterations. Functionally, MDM4 triplication conferred greater fitness to murine and human primary FA HSPCs, rescued inflammation-mediated bone marrow failure, and drove clonal dominance in FA mouse models, while targeting MDM4 impaired leukemia cells in vitro and in vivo. Our results identify a linear route toward secondary leukemogenesis whereby early MDM4-driven downregulation of basal p53 activation plays a pivotal role, opening monitoring and therapeutic prospects.
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Affiliation(s)
- Marie Sebert
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Stéphanie Gachet
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Thierry Leblanc
- Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Alix Rousseau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France
| | - Olivier Bluteau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Rathana Kim
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Raouf Ben Abdelali
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Flore Sicre de Fontbrune
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Loïc Maillard
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Carèle Fedronie
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Valentine Murigneux
- Genome Integrity, Immunity and Cancer Unit, INSERM U1223, Equipe Labellisée Ligue Contre Le Cancer, Institut Pasteur, Paris, France
| | - Léa Bellenger
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Naira Naouar
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Samuel Quentin
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Lucie Hernandez
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Nadia Vasquez
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Mélanie Da Costa
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Pedro H Prata
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Lise Larcher
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Marie de Tersant
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Matthieu Duchmann
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Anna Raimbault
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Franck Trimoreau
- Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Hematology Laboratory, CHU Limoges, Limoges, France
| | | | - Wendy Cuccuini
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Nathalie Gachard
- Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Hematology Laboratory, CHU Limoges, Limoges, France
| | - Nathalie Auger
- Département de Biologie et Pathologie Médicales, Institut de Cancérologie Gustave Roussy, Villejuif, France
| | - Giulia Tueur
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Maud Blanluet
- Department of Genetics, Institut Curie, Université de Paris, INSERM U830, Paris, France
| | - Claude Gazin
- INSERM U944/CNRS UMR7212, Paris, France; Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Evry, France
| | - Michèle Souyri
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM UMR S1131, Hôpital Saint Louis, Paris, France
| | | | - Aaron Mendez-Bermudez
- Université Côte d'Azur, CNRS, Inserm, Institute for Research on Cancer and Aging, Nice (IRCAN), France; Department of Medical Genetics, CHU, Nice, France
| | | | - Etienne Lengline
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Emmanuel Raffoux
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Pierre Fenaux
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Lionel Adès
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Edouard Forcade
- CHU Bordeaux, Service d'Hématologie et Thérapie Cellulaire et Unité d'Hématologie Oncologie Pédiatrique, 33000 Bordeaux, France
| | - Charlotte Jubert
- CHU Bordeaux, Service d'Hématologie et Thérapie Cellulaire et Unité d'Hématologie Oncologie Pédiatrique, 33000 Bordeaux, France
| | - Carine Domenech
- Institut of Hematology and Pediatric Oncology (IHOP), Hospices Civils de Lyon, France; Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS 5286, Centre Léon Bérard, Université Lyon 1, Lyon, France
| | - Marion Strullu
- Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France
| | | | - Nimrod Buchbinder
- Centre Pédiatrique de Transplantation de Cellules Souches Hématopoïétiques, CHU de Rouen, Rouen, France
| | - Caroline Thomas
- Service d'Oncologie-Hématologie et Immunologie Pédiatrique, CHU de Nantes, Nantes, France
| | - Arnaud Petit
- Pediatric Hematology-Oncology, Trousseau Hospital and HUEP, Paris, France
| | - Guy Leverger
- Pediatric Hematology-Oncology, Trousseau Hospital and HUEP, Paris, France
| | - Gérard Michel
- Timone Enfants Hospital, Department of Pediatric Hematology and Oncology, Aix-Marseille University, EA 3279, Marseille, France
| | - Marina Cavazzana
- Biotherapy Department, Necker Children's Hospital, APHP Centre, Biotherapy Clinical Investigation Center, Inserm U1416, University of Paris, Imagine Institute, Paris, France
| | - Eliane Gluckman
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; Eurocord, Department of Hematology, Saint-Louis Hospital, Paris, France
| | - Yves Bertrand
- Institut of Hematology and Pediatric Oncology (IHOP), Hospices Civils de Lyon, France; Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS 5286, Centre Léon Bérard, Université Lyon 1, Lyon, France
| | - Nicolas Boissel
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France
| | - André Baruchel
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Jean-Hugues Dalle
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Emmanuelle Clappier
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Eric Gilson
- Université Côte d'Azur, CNRS, Inserm, Institute for Research on Cancer and Aging, Nice (IRCAN), France; Department of Medical Genetics, CHU, Nice, France
| | - Ludovic Deriano
- Genome Integrity, Immunity and Cancer Unit, INSERM U1223, Equipe Labellisée Ligue Contre Le Cancer, Institut Pasteur, Paris, France
| | - Sylvie Chevret
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Division of Biostatistics, Saint-Louis Hospital, APHP, Paris, France
| | - François Sigaux
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Gérard Socié
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM UMR-976, Saint-Louis Hospital, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | | | - Hugues de Thé
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Collège de France, Paris, France
| | - Christophe Antoniewski
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Dominique Bluteau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; EPHE, PSL University, Paris, France.
| | - Régis Peffault de Latour
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Jean Soulier
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France.
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76
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.25.525428. [PMID: 36747810 PMCID: PMC9900832 DOI: 10.1101/2023.01.25.525428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hemotologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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Affiliation(s)
- Goo Jun
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
| | - Adam C English
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Ginger A Metcalf
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Jianzhi Yang
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Vipin K Menon
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | | | | | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - John A Lane
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Tom Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Hyun Min Kang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Sejal Salvi
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Qingchang Meng
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Hua Shen
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Divya Pasham
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Sravya Bhamidipati
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Kavya Kottapalli
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Donna K. Arnett
- Department of Epidemiology, University of Kentucky College of Public Health
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, NC
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Paul L. Auer
- Division of Biostatistics and Cancer Center, Medical College of Wisconsin, Milwaukee WI
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX
| | - Donald W. Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
| | - Yii-Der Ida Chen
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Joanne E. Curran
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tasha Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, 1400 Jackson St., Denver, CO, 80206, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, Taiwan
| | - John P Kane
- Cardiovascular Research Institute, University of California, San Francisco
| | - Robert Kaplan
- Department of epidemiology and population health, Albert Einstein College of Medicine, Bronx NY USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco CA
| | - Rasika A. Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stephen T. McGarvey
- Department of Epidemiology, International Health Institute and Department of Anthropology, Brown University
| | - Courtney Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
| | - S. Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | | | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephen S. Rich
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg, School of Public Health, Baltimore, MD, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Christine E. Seidman
- Department of Genetics, Harvard Medical School
- Cardiovascular Division, Brigham & Women’s Hospital, Harvard University
- Howard Hughes Medical Institute, Harvard University
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jennifer A. Smith
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Adrienne Stilp
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Marilyn J. Telen
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Baojun Wu
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Lisa R. Yanek
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Susan K. Dutcher
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Ryan Kim
- Psomagen, Inc.,Rockville, Maryland, USA
| | | | | | | | - James Luo
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Goncalo Abecasis
- Regeneron Genetics Center
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Fritz J Sedlazeck
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
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77
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Guo M, Fang Z, Chen B, Songyang Z, Xiong Y. Distinct dosage compensations of ploidy-sensitive and -insensitive X chromosome genes during development and in diseases. iScience 2023; 26:105997. [PMID: 36798435 PMCID: PMC9926305 DOI: 10.1016/j.isci.2023.105997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/12/2022] [Accepted: 01/12/2023] [Indexed: 01/20/2023] Open
Abstract
The active X chromosome in mammals is upregulated to balance its dosage to autosomes during evolution. However, it is elusive why the known dosage compensation machinery showed uneven and small influence on X genes. Here, based on >20,000 transcriptomes, we identified two X gene groups (ploidy-sensitive [PSX] and ploidy-insensitive [PIX]), showing distinct but evolutionarily conserved dosage compensations (termed XAR). We demonstrated that XAR-PIX was downregulated whereas XAR-PSX upregulated at both RNA and protein levels across cancer types, in contrast with their trends during stem cell differentiation. XAR-PIX, but not XAR-PSX, was lower and correlated with autoantibodies and inflammation in patients of lupus, suggesting that insufficient dosage of PIX genes contribute to lupus pathogenesis. We further identified and experimentally validated two XAR regulators, TP53 and ATRX. Collectively, we provided insights into X dosage compensation in mammals and demonstrated different regulation of PSX and PIX and their pathophysiological roles in human diseases.
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Affiliation(s)
- Mengbiao Guo
- Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhengwen Fang
- Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Bohong Chen
- Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhou Songyang
- Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Yuanyan Xiong
- Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China,Corresponding author
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78
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Zhou H, Zhang X, Liu Q, Yang J, Bai J, Yin M, Cao D, Zhang Q, Zheng L. Can circulating cell free DNA be a promising marker in ovarian cancer? - a genome-scale profiling study in a single institution. J Ovarian Res 2023; 16:11. [PMID: 36641505 PMCID: PMC9840311 DOI: 10.1186/s13048-022-01068-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/29/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Cell-free DNA (cfDNA) is emerging as a potential biomarker for the detection of ovarian cancer (OC). Recently, we reported a method based upon cfDNA whole-genome sequencing data including the nucleosome distribution (nucleosome footprinting NF), terminal signature sequence (motif), DNA fragmentation (fragment), and copy number variation (CNV).In the present study, we explored whether multiomics early screening technology in cfDNA can be applied for early screening of ovarian cancer. METHODS Fifty-nine patients with OC and 100 healthy controls were included in this prospective study. Cell-free DNA was extracted from plasma and analyzed by low-pass whole-genome sequencing. Genomic features were obtained for all samples of the cohort, including copy number variation (CNV), 5'-end motifs, fragmentation profiles, and nucleosome footprinting (NF). An integrated scoring system termed the OC score was developed based on the performance of these four features. RESULTS All four features showed diagnostic potential for OC. Based on the unique genome features of cfDNA, the OC score has high accuracy in distinguishing OC patients from healthy controls (AUC 97.7%; sensitivity 94.7%; specificity 98.0%) as a new comprehensive diagnostic method for OC. The OC score showed a gradual trend from healthy controls to OC patients with different stages, especially for early OC monitoring of concern, which achieved a satisfactory sensitivity (85.7%) at a high specificity. CONCLUSIONS This is the first study evaluating the potential of cell-free DNA for the diagnosis of primary OC using multidimensional early screening technology. We present a promising method to increase the accuracy of prediction in patients with OC.
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Affiliation(s)
- Huimei Zhou
- grid.413106.10000 0000 9889 6335National Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan, Dongcheng-Qu Beijing, People’s Republic of China
| | | | - Qian Liu
- grid.413106.10000 0000 9889 6335National Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan, Dongcheng-Qu Beijing, People’s Republic of China
| | - Jiaxin Yang
- grid.413106.10000 0000 9889 6335National Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan, Dongcheng-Qu Beijing, People’s Republic of China
| | - Jian Bai
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Min Yin
- grid.413106.10000 0000 9889 6335National Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan, Dongcheng-Qu Beijing, People’s Republic of China
| | - Dongyan Cao
- grid.413106.10000 0000 9889 6335National Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan, Dongcheng-Qu Beijing, People’s Republic of China
| | | | - Lu Zheng
- Berry Oncology Corporation, Beijing, China
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79
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Prime SS, Cirillo N, Parkinson EK. Escape from Cellular Senescence Is Associated with Chromosomal Instability in Oral Pre-Malignancy. BIOLOGY 2023; 12:biology12010103. [PMID: 36671795 PMCID: PMC9855962 DOI: 10.3390/biology12010103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/12/2023]
Abstract
An escape from cellular senescence through the development of unlimited growth potential is one of the hallmarks of cancer, which is thought to be an early event in carcinogenesis. In this review, we propose that the molecular effectors of senescence, particularly the inactivation of TP53 and CDKN2A, together with telomere attrition and telomerase activation, all lead to aneuploidy in the keratinocytes from oral potentially malignant disorders (OPMD). Premalignant keratinocytes, therefore, not only become immortal but also develop genotypic and phenotypic cellular diversity. As a result of these changes, certain clonal cell populations likely gain the capacity to invade the underlying connective tissue. We review the clinical implications of these changes and highlight a new PCR-based assay to identify aneuploid cell in fluids such as saliva, a technique that is extremely sensitive and could facilitate the regular monitoring of OPMD without the need for surgical biopsies and may avoid potential biopsy sampling errors. We also draw attention to recent studies designed to eliminate aneuploid tumour cell populations that, potentially, is a new therapeutic approach to prevent malignant transformations in OPMD.
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Affiliation(s)
- Stephen S. Prime
- Centre for Immunology and Regenerative Medicine, Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
- Correspondence: (S.S.P.); (E.K.P.)
| | - Nicola Cirillo
- Melbourne Dental School, University of Melbourne, 720 Swanson Street, Melbourne, VIC 3053, Australia
| | - E. Kenneth Parkinson
- Centre for Immunology and Regenerative Medicine, Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
- Correspondence: (S.S.P.); (E.K.P.)
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80
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Girish V, Lakhani AA, Scaduto CM, Thompson SL, Brown LM, Hagenson RA, Sausville EL, Mendelson BE, Lukow DA, Yuan ML, Kandikuppa PK, Stevens EC, Lee SN, Salovska B, Li W, Smith JC, Taylor AM, Martienssen RA, Liu Y, Sun R, Sheltzer JM. Oncogene-like addiction to aneuploidy in human cancers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.09.523344. [PMID: 36711674 PMCID: PMC9882055 DOI: 10.1101/2023.01.09.523344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Most cancers exhibit aneuploidy, but its functional significance in tumor development is controversial. Here, we describe ReDACT (Restoring Disomy in Aneuploid cells using CRISPR Targeting), a set of chromosome engineering tools that allow us to eliminate specific aneuploidies from cancer genomes. Using ReDACT, we created a panel of isogenic cells that have or lack common aneuploidies, and we demonstrate that trisomy of chromosome 1q is required for malignant growth in cancers harboring this alteration. Mechanistically, gaining chromosome 1q increases the expression of MDM4 and suppresses TP53 signaling, and we show that TP53 mutations are mutually-exclusive with 1q aneuploidy in human cancers. Thus, specific aneuploidies play essential roles in tumorigenesis, raising the possibility that targeting these "aneuploidy addictions" could represent a novel approach for cancer treatment.
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Affiliation(s)
- Vishruth Girish
- Yale University School of Medicine, New Haven, CT 06511
- Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | | | | | | | | | | | | | | | | | - Monet Lou Yuan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
| | | | | | - Sophia N. Lee
- Yale University School of Medicine, New Haven, CT 06511
| | | | - Wenxue Li
- Yale University School of Medicine, New Haven, CT 06511
| | - Joan C. Smith
- Yale University School of Medicine, New Haven, CT 06511
| | | | - Robert A. Martienssen
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yansheng Liu
- Yale University School of Medicine, New Haven, CT 06511
| | - Ruping Sun
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455
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81
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Müller P, Velazquez Camacho O, Yazbeck AM, Wölwer C, Zhai W, Schumacher J, Heider D, Buettner R, Quaas A, Hillmer AM. Why loss of Y? A pan-cancer genome analysis of tumors with loss of Y chromosome. Comput Struct Biotechnol J 2023; 21:1573-1583. [PMID: 36874157 PMCID: PMC9978323 DOI: 10.1016/j.csbj.2023.02.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 02/17/2023] Open
Abstract
Loss of the Y chromosome (LoY) is frequently observed in somatic cells of elderly men. However, LoY is highly increased in tumor tissue and correlates with an overall worse prognosis. The underlying causes and downstream effects of LoY are widely unknown. Therefore, we analyzed genomic and transcriptomic data of 13 cancer types (2375 patients) and classified tumors of male patients according to loss or retain of the Y chromosome (LoY or RoY, average LoY fraction: 0.46). The frequencies of LoY ranged from almost absence (glioblastoma, glioma, thyroid carcinoma) to 77% (kidney renal papillary cell carcinoma). Genomic instability, aneuploidy, and mutation burden were enriched in LoY tumors. In addition, we found more frequently in LoY tumors the gate keeping tumor suppressor gene TP53 mutated in three cancer types (colon adenocarcinoma, head and neck squamous carcinoma, lung adenocarcinoma) and oncogenes MET, CDK6, KRAS, and EGFR amplified in multiple cancer types. On the transcriptomic level, we observed MMP13, known to be involved in invasion, to be up-regulated in LoY of three adenocarcinomas and down-regulation of the tumor suppressor gene GPC5 in LoY of three cancer types. Furthermore, we found enrichment of a smoking-related mutation signature in LoY tumors of head and neck and lung cancer. Strikingly, we observed a correlation between cancer type-specific sex bias in incidence rates and frequencies of LoY, in line with the hypothesis that LoY increases cancer risk in males. Overall, LoY is a frequent phenomenon in cancer that is enriched in genomically unstable tumors. It correlates with genomic features beyond the Y chromosome and might contribute to higher incidence rates in males.
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Affiliation(s)
- Philipp Müller
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany
| | - Oscar Velazquez Camacho
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany
| | - Ali M Yazbeck
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany
| | - Christina Wölwer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Johannes Schumacher
- Institute of Human Genetics, University Hospital of Marburg, Marburg, Germany
| | - Dominik Heider
- Department of Data Science in Biomedicine, Faculty of Mathematics and Computer Science, Philipps-University of Marburg, Germany
| | - Reinhard Buettner
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany
| | - Alexander Quaas
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany.,Cologne Group of Sex-specific Oncobiology (CGSO), Germany
| | - Axel M Hillmer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Pathology, Cologne, Germany.,Cologne Group of Sex-specific Oncobiology (CGSO), Germany.,University of Cologne, Center for Molecular Medicine Cologne, Cologne, Germany
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82
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Evans MA, Walsh K. Clonal hematopoiesis, somatic mosaicism, and age-associated disease. Physiol Rev 2023; 103:649-716. [PMID: 36049115 PMCID: PMC9639777 DOI: 10.1152/physrev.00004.2022] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 07/19/2022] [Accepted: 08/02/2022] [Indexed: 12/15/2022] Open
Abstract
Somatic mosaicism, the occurrence of multiple genetically distinct cell clones within the same tissue, is an evitable consequence of human aging. The hematopoietic system is no exception to this, where studies have revealed the presence of expanded blood cell clones carrying mutations in preleukemic driver genes and/or genetic alterations in chromosomes. This phenomenon is referred to as clonal hematopoiesis and is remarkably prevalent in elderly individuals. While clonal hematopoiesis represents an early step toward a hematological malignancy, most individuals will never develop blood cancer. Somewhat unexpectedly, epidemiological studies have found that clonal hematopoiesis is associated with an increase in the risk of all-cause mortality and age-related disease, particularly in the cardiovascular system. Studies using murine models of clonal hematopoiesis have begun to shed light on this relationship, suggesting that driver mutations in mature blood cells can causally contribute to aging and disease by augmenting inflammatory processes. Here we provide an up-to-date review of clonal hematopoiesis within the context of somatic mosaicism and aging and describe recent epidemiological studies that have reported associations with age-related disease. We will also discuss the experimental studies that have provided important mechanistic insight into how driver mutations promote age-related disease and how this knowledge could be leveraged to treat individuals with clonal hematopoiesis.
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Affiliation(s)
- Megan A Evans
- Hematovascular Biology Center, Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Kenneth Walsh
- Hematovascular Biology Center, Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia
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83
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Keys HR, Knouse KA. Genome-scale CRISPR screening in a single mouse liver. CELL GENOMICS 2022; 2:100217. [PMID: 36643909 PMCID: PMC9835819 DOI: 10.1016/j.xgen.2022.100217] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/08/2022] [Accepted: 10/21/2022] [Indexed: 11/17/2022]
Abstract
A complete understanding of the genetic determinants underlying mammalian physiology and disease is limited by the capacity for high-throughput genetic dissection in the living organism. Genome-wide CRISPR screening is a powerful method for uncovering the genetic regulation of cellular processes, but the need to stably deliver single guide RNAs to millions of cells has largely restricted its implementation to ex vivo systems. There thus remains a need for accessible high-throughput functional genomics in vivo. Here, we establish genome-wide screening in the liver of a single mouse and use this approach to uncover regulation of hepatocyte fitness. We uncover pathways not identified in cell culture screens, underscoring the power of genetic dissection in the organism. The approach we developed is accessible, scalable, and adaptable to diverse phenotypes and applications. We have hereby established a foundation for high-throughput functional genomics in a living mammal, enabling comprehensive investigation of physiology and disease.
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Affiliation(s)
- Heather R. Keys
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Kristin A. Knouse
- Koch Institute for Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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84
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He Z, Lin Y, Wei R, Liu C, Jiang D. Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction. Comput Biol Med 2022; 151:106236. [PMID: 36370584 DOI: 10.1016/j.compbiomed.2022.106236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/15/2022] [Accepted: 10/22/2022] [Indexed: 12/27/2022]
Abstract
By taking a new perspective to combine a machine learning method with an evolutionary algorithm, a new hybrid algorithm is developed to predict cancer driver genes. Firstly, inspired by the search strategy with the capability of global search in evolutionary algorithms, a gravitational kernel is proposed to act on the full range of gene features. Constructed by fusing PPI and mutation features, the gravitational kernel is capable to produce repulsion effects. The candidate genes with greater mutation effects and PPI have higher similarity scores. According to repulsion, the similarity score of these promising genes is larger than ordinary genes, which is beneficial to search for these promising genes. Secondly, inspired by the idea of elite populations related to evolutionary algorithms, the concept of vital few is proposed. Targeted at a local scale, it acts on the candidate genes associated with vital few genes. Under attraction effect, these vital few driver genes attract those with similar mutational effects to them, which leads to greater similarity scores. Lastly, the model and parameters are optimized by using an evolutionary algorithm, so as to obtain the optimal model and parameters for cancer driver gene prediction. Herein, a comparison is performed with six other advanced methods of cancer driver gene prediction. According to the experimental results, the method proposed in this study outperforms these six state-of-the-art algorithms on the pan-oncogene dataset.
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Affiliation(s)
- Zhihui He
- Department of Computer Science, Shantou University, 515063, China
| | - Yingqing Lin
- Department of Computer Science, Shantou University, 515063, China
| | - Runguo Wei
- Department of Computer Science, Shantou University, 515063, China
| | - Cheng Liu
- Department of Computer Science, Shantou University, 515063, China
| | - Dazhi Jiang
- Department of Computer Science, Shantou University, 515063, China; Guangdong Provincial Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou 510399, China.
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85
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Somatic 9p24.1 alterations in HPV - head and neck squamous cancer dictate immune microenvironment and anti-PD-1 checkpoint inhibitor activity. Proc Natl Acad Sci U S A 2022; 119:e2213835119. [PMID: 36395141 PMCID: PMC9704728 DOI: 10.1073/pnas.2213835119] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Somatic copy number alterations (SCNAs), generally (1) losses containing interferons and interferon-pathway genes, many on chromosome 9p, predict immune-cold, immune checkpoint therapy (ICT)-resistant tumors (2); however, genomic regions mediating these effects are unclear and probably tissue specific. Previously, 9p21.3 loss was found to be an early genetic driver of human papillomavirus-negative (HPV-) head and neck squamous cancer (HNSC), associated with an immune-cold tumor microenvironment (TME) signal, and recent evidence suggested that this TME-cold phenotype was greatly enhanced with 9p21 deletion size, notably encompassing band 9p24.1 (3). Here, we report multi-omic, -threshold and continuous-variable dissection of 9p21 and 9p24 loci (including depth and degree of somatic alteration of each band at each locus, and each gene at each band) and TME of four HPV- HNSC cohorts. Preferential 9p24 deletion, CD8 T-cell immune-cold associations were observed, driven by 9p24.1 loss, and in turn by an essential telomeric regulatory gene element, JAK2-CD274. Surprisingly, same genetic region gains were immune hot. Related 9p21-TME analyses were less evident. Inherent 9p-band-level influences on anti-PD1 ICT survival rates, coincident with TME patterns, were also observed. At a 9p24.1 whole-transcriptome expression threshold of 60th percentile, ICT survival rate exceeded that of lower expression percentiles and of chemotherapy; below this transcript threshold, ICT survival was inferior to chemotherapy, the latter unaffected by 9p24.1 expression level (P-values < 0.01, including in a PD-L1 immunohistochemistry-positive patient subgroup). Whole-exome analyses of 10 solid-tumor types suggest that these 9p-related ICT findings could be relevant to squamous cancers, in which 9p24.1 gain/immune-hot associations exist.
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86
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Hu Q, Liu Q, Zhao Y, Zhang L, Li L. SGOL2 is a novel prognostic marker and fosters disease progression via a MAD2-mediated pathway in hepatocellular carcinoma. Biomark Res 2022; 10:82. [PMCID: PMC9664666 DOI: 10.1186/s40364-022-00422-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022] Open
Abstract
Background Shugoshin-like protein 2 (SGOL2) is a centromeric protein that ensures the correct and orderly process of mitosis by protecting and maintaining centripetal adhesions during meiosis and mitosis. Here, we examined the potential role of SGOL2 in cancers, especially in hepatocellular carcinoma (HCC). Methods One hundred ninety-nine normal adjacent tissues and 202 HCC samples were collected in this study. Human HCC cells (SK-HEP-1 and HEP-3B) were employed in the present study. Immunohistochemistry, immunofluorescence, western blot, Co-Immunoprecipitation technique, and bioinformatic analysis were utilized to assess the role of SGOL2 in HCC development process. Results Overexpression of SGOL2 predicted an unfavorable prognosis in HCC by The Cancer Genome Atlas database (TCGA), which were further validated in our two independent cohorts. Next, 47 differentially expressed genes positively related to both SGOL2 and MAD2 were identified to be associated with the cell cycle. Subsequently, we demonstrated that SGOL2 downregulation suppressed the malignant activities of HCC in vitro and in vivo. Further investigation showed that SGOL2 promoted tumor proliferation by regulating MAD2-induced cell-cycle dysregulation, which could be reversed by the MAD2 inhibitor M2I-1. Consistently, MAD2 upregulation reversed the knockdown effects of SGOL2-shRNA in HCC. Moreover, we demonstrated that SGOL2 regulated MAD2 expression level by forming a SGOL2-MAD2 complex, which led to cell cycle dysreuglation of HCC cells. Conclusion SGOL2 acts as an oncogene in HCC cells by regulating MAD2 and then dysregulating the cell cycle, providing a potential therapeutic target in HCC. Supplementary Information The online version contains supplementary material available at 10.1186/s40364-022-00422-z.
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Affiliation(s)
- Qingqing Hu
- grid.13402.340000 0004 1759 700XState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003 China
| | - Qiuhong Liu
- grid.13402.340000 0004 1759 700XState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003 China
| | - Yalei Zhao
- grid.13402.340000 0004 1759 700XState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003 China
| | - Lingjian Zhang
- grid.13402.340000 0004 1759 700XState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003 China
| | - Lanjuan Li
- grid.13402.340000 0004 1759 700XState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003 China
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87
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Kaufmann TL, Petkovic M, Watkins TBK, Colliver EC, Laskina S, Thapa N, Minussi DC, Navin N, Swanton C, Van Loo P, Haase K, Tarabichi M, Schwarz RF. MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution. Genome Biol 2022; 23:241. [PMID: 36376909 PMCID: PMC9661799 DOI: 10.1186/s13059-022-02794-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide information for the complex task of phylogenetic inference. We present MEDICC2, a method for inferring evolutionary trees and WGD using haplotype-specific somatic copy-number alterations from single-cell or bulk data. MEDICC2 eschews simplifications such as the infinite sites assumption, allowing multiple mutations and parallel evolution, and does not treat adjacent loci as independent, allowing overlapping copy-number events. Using simulations and multiple data types from 2780 tumors, we use MEDICC2 to demonstrate accurate inference of phylogenies, clonal and subclonal WGD, and ancestral copy-number states.
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Affiliation(s)
- Tom L Kaufmann
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany.
- Department of Electrical Engineering & Computer Science, Technische Universität Berlin, Marchstr. 23, 10587, Berlin, Germany.
- BIFOLD, Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.
| | - Marina Petkovic
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
- Department of Biology, Humboldt University of Berlin, Unter den Linden 6, 10099, Berlin, Germany
- Division of Oncology and Hematology, Department of Pediatrics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | | | | | - Sofya Laskina
- Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany
| | - Nisha Thapa
- UCL Medical School, University College London, London, UK
| | - Darlan C Minussi
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas Navin
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kerstin Haase
- Division of Oncology and Hematology, Department of Pediatrics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research, Université Libre de Bruxelles, Brussels, Belgium
| | - Roland F Schwarz
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany.
- BIFOLD, Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.
- Institute for Computational Cancer Biology, Center for Integrated Oncology (CIO) and Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
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88
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Chromosome Inequality: Causes and Consequences of Non-Random Segregation Errors in Mitosis and Meiosis. Cells 2022; 11:cells11223564. [PMID: 36428993 PMCID: PMC9688425 DOI: 10.3390/cells11223564] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022] Open
Abstract
Aneuploidy is a hallmark of cancer and a major cause of miscarriages in humans. It is caused by chromosome segregation errors during cell divisions. Evidence is mounting that the probability of specific chromosomes undergoing a segregation error is non-random. In other words, some chromosomes have a higher chance of contributing to aneuploid karyotypes than others. This could have important implications for the origins of recurrent aneuploidy patterns in cancer and developing embryos. Here, we review recent progress in understanding the prevalence and causes of non-random chromosome segregation errors in mammalian mitosis and meiosis. We evaluate its potential impact on cancer and human reproduction and discuss possible research avenues.
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89
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van der Laan L, Rooney K, Trooster TM, Mannens MM, Sadikovic B, Henneman P. DNA methylation episignatures: insight into copy number variation. Epigenomics 2022; 14:1373-1388. [PMID: 36537268 DOI: 10.2217/epi-2022-0287] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In this review we discuss epigenetic disorders that result from aberrations in genes linked to epigenetic regulation. We describe current testing methods for the detection of copy number variants (CNVs) in Mendelian disorders, dosage sensitivity, reciprocal phenotypes and the challenges of test selection and overlapping clinical features in genetic diagnosis. We discuss aberrations of DNA methylation and propose a role for episignatures as a novel clinical testing method in CNV disorders. Finally, we postulate that episignature mapping in CNV disorders may provide novel insights into the molecular mechanisms of disease and unlock key findings of the genome-wide impact on disease gene networks.
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Affiliation(s)
- Liselot van der Laan
- Department of Human Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
| | - Kathleen Rooney
- Department of Pathology & Laboratory Medicine, Western University, London, Ontario, N5A 3K7, Canada.,Verspeeten Clinical Genome Centre, London Health Science Centre, London, Ontario, N6A 5W9, Canada
| | - Tessa Ma Trooster
- Department of Human Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
| | - Marcel Mam Mannens
- Department of Human Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
| | - Bekim Sadikovic
- Department of Pathology & Laboratory Medicine, Western University, London, Ontario, N5A 3K7, Canada.,Verspeeten Clinical Genome Centre, London Health Science Centre, London, Ontario, N6A 5W9, Canada
| | - Peter Henneman
- Department of Human Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
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90
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Barriga FM, Tsanov KM, Ho YJ, Sohail N, Zhang A, Baslan T, Wuest AN, Del Priore I, Meškauskaitė B, Livshits G, Alonso-Curbelo D, Simon J, Chaves-Perez A, Bar-Sagi D, Iacobuzio-Donahue CA, Notta F, Chaligne R, Sharma R, Pe'er D, Lowe SW. MACHETE identifies interferon-encompassing chromosome 9p21.3 deletions as mediators of immune evasion and metastasis. NATURE CANCER 2022; 3:1367-1385. [PMID: 36344707 PMCID: PMC9701143 DOI: 10.1038/s43018-022-00443-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/13/2022] [Indexed: 11/09/2022]
Abstract
The most prominent homozygous deletions in cancer affect chromosome 9p21.3 and eliminate CDKN2A/B tumor suppressors, disabling a cell-intrinsic barrier to tumorigenesis. Half of 9p21.3 deletions, however, also encompass a type I interferon (IFN) gene cluster; the consequences of this co-deletion remain unexplored. To functionally dissect 9p21.3 and other large genomic deletions, we developed a flexible deletion engineering strategy, MACHETE (molecular alteration of chromosomes with engineered tandem elements). Applying MACHETE to a syngeneic mouse model of pancreatic cancer, we found that co-deletion of the IFN cluster promoted immune evasion, metastasis and immunotherapy resistance. Mechanistically, IFN co-deletion disrupted type I IFN signaling in the tumor microenvironment, leading to marked changes in infiltrating immune cells and escape from CD8+ T-cell surveillance, effects largely driven by the poorly understood interferon epsilon. These results reveal a chromosomal deletion that disables both cell-intrinsic and cell-extrinsic tumor suppression and provide a framework for interrogating large deletions in cancer and beyond.
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Affiliation(s)
- Francisco M Barriga
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kaloyan M Tsanov
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yu-Jui Ho
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Noor Sohail
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Zhang
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Timour Baslan
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra N Wuest
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Isabella Del Priore
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, New York, NY, USA
| | - Brigita Meškauskaitė
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Geulah Livshits
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Direna Alonso-Curbelo
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Janelle Simon
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Almudena Chaves-Perez
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dafna Bar-Sagi
- Department of Biochemistry, New York University School of Medicine, New York, NY, USA
| | - Christine A Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Faiyaz Notta
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Division of Research, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Ronan Chaligne
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roshan Sharma
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dana Pe'er
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Scott W Lowe
- Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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91
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van den Bosch T, Derks S, Miedema DM. Chromosomal Instability, Selection and Competition: Factors That Shape the Level of Karyotype Intra-Tumor Heterogeneity. Cancers (Basel) 2022; 14:cancers14204986. [PMID: 36291770 PMCID: PMC9600040 DOI: 10.3390/cancers14204986] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 12/03/2022] Open
Abstract
Simple Summary Each cancer consists of billions of cells. These cells are far from identical; hence, the population of cells that constitute a tumor is heterogeneous. A salient property that varies between cells in a tumor is their karyotype, the number and configuration of the chromosomes. The level of karyotype heterogeneity can be used to predict the survival of a patient. In this review, we describe the processes that shape the level of karyotype heterogeneity in a cancer. Abstract Intra-tumor heterogeneity (ITH) is a pan-cancer predictor of survival, with high ITH being correlated to a dismal prognosis. The level of ITH is, hence, a clinically relevant characteristic of a malignancy. ITH of karyotypes is driven by chromosomal instability (CIN). However, not all new karyotypes generated by CIN are viable or competitive, which limits the amount of ITH. Here, we review the cellular processes and ecological properties that determine karyotype ITH. We propose a framework to understand karyotype ITH, in which cells with new karyotypes emerge through CIN, are selected by cell intrinsic and cell extrinsic selective pressures, and propagate through a cancer in competition with other malignant cells. We further discuss how CIN modulates the cell phenotype and immune microenvironment, and the implications this has for the subsequent selection of karyotypes. Together, we aim to provide a comprehensive overview of the biological processes that shape the level of karyotype heterogeneity.
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Affiliation(s)
- Tom van den Bosch
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam and Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers—Location AMC, 1105 AZ Amsterdam, The Netherlands
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
| | - Sarah Derks
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
- Department of Medical Oncology, Amsterdam University Medical Centers—Location VUmc, 1081 HV Amsterdam, The Netherlands
- Correspondence: (S.D.); (D.M.M.)
| | - Daniël M. Miedema
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam and Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers—Location AMC, 1105 AZ Amsterdam, The Netherlands
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
- Correspondence: (S.D.); (D.M.M.)
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92
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López-Rivera F, Chuang J, Spatt D, Gopalakrishnan R, Winston F. Suppressor mutations that make the essential transcription factor Spn1/Iws1 dispensable in Saccharomyces cerevisiae. Genetics 2022; 222:iyac125. [PMID: 35977387 PMCID: PMC9526074 DOI: 10.1093/genetics/iyac125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/11/2022] [Indexed: 11/12/2022] Open
Abstract
Spn1/Iws1 is an essential eukaryotic transcription elongation factor that is conserved from yeast to humans as an integral member of the RNA polymerase II elongation complex. Several studies have shown that Spn1 functions as a histone chaperone to control transcription, RNA splicing, genome stability, and histone modifications. However, the precise role of Spn1 is not understood, and there is little understanding of why it is essential for viability. To address these issues, we have isolated 8 suppressor mutations that bypass the essential requirement for Spn1 in Saccharomyces cerevisiae. Unexpectedly, the suppressors identify several functionally distinct complexes and activities, including the histone chaperone FACT, the histone methyltransferase Set2, the Rpd3S histone deacetylase complex, the histone acetyltransferase Rtt109, the nucleosome remodeler Chd1, and a member of the SAGA coactivator complex, Sgf73. The identification of these distinct groups suggests that there are multiple ways in which Spn1 bypass can occur, including changes in histone acetylation and alterations in other histone chaperones. Thus, Spn1 may function to overcome repressive chromatin by multiple mechanisms during transcription. Our results suggest that bypassing a subset of these functions allows viability in the absence of Spn1.
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Affiliation(s)
| | - James Chuang
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Dan Spatt
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | | | - Fred Winston
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
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93
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Nussinov R, Zhang M, Maloney R, Liu Y, Tsai CJ, Jang H. Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs. J Mol Biol 2022; 434:167569. [PMID: 35378118 PMCID: PMC9398924 DOI: 10.1016/j.jmb.2022.167569] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/11/2022] [Accepted: 03/25/2022] [Indexed: 01/12/2023]
Abstract
Here, we discuss the principles of allosteric activating mutations, propagation downstream of the signals that they prompt, and allosteric drugs, with examples from the Ras signaling network. We focus on Abl kinase where mutations shift the landscape toward the active, imatinib binding-incompetent conformation, likely resulting in the high affinity ATP outcompeting drug binding. Recent pharmacological innovation extends to allosteric inhibitor (GNF-5)-linked PROTAC, targeting Bcr-Abl1 myristoylation site, and broadly, allosteric heterobifunctional degraders that destroy targets, rather than inhibiting them. Designed chemical linkers in bifunctional degraders can connect the allosteric ligand that binds the target protein and the E3 ubiquitin ligase warhead anchor. The physical properties and favored conformational state of the engineered linker can precisely coordinate the distance and orientation between the target and the recruited E3. Allosteric PROTACs, noncompetitive molecular glues, and bitopic ligands, with covalent links of allosteric ligands and orthosteric warheads, increase the effective local concentration of productively oriented and placed ligands. Through covalent chemical or peptide linkers, allosteric drugs can collaborate with competitive drugs, degrader anchors, or other molecules of choice, driving innovative drug discovery.
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Affiliation(s)
- Ruth Nussinov
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
| | - Mingzhen Zhang
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
| | - Ryan Maloney
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
| | - Yonglan Liu
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
| | - Chung-Jung Tsai
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
| | - Hyunbum Jang
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
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94
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Yan G, Luna A, Wang H, Bozorgui B, Li X, Sanchez M, Dereli Z, Kahraman N, Kara G, Chen X, Zheng C, McGrail D, Sahni N, Lu Y, Babur O, Cokol M, Lim B, Ozpolat B, Sander C, Mills GB, Korkut A. BET inhibition induces vulnerability to MCL1 targeting through upregulation of fatty acid synthesis pathway in breast cancer. Cell Rep 2022; 40:111304. [PMID: 36103824 PMCID: PMC9523722 DOI: 10.1016/j.celrep.2022.111304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 05/06/2022] [Accepted: 08/10/2022] [Indexed: 11/12/2022] Open
Abstract
Therapeutic options for treatment of basal-like breast cancers remain limited. Here, we demonstrate that bromodomain and extra-terminal (BET) inhibition induces an adaptive response leading to MCL1 protein-driven evasion of apoptosis in breast cancer cells. Consequently, co-targeting MCL1 and BET is highly synergistic in breast cancer models. The mechanism of adaptive response to BET inhibition involves the upregulation of lipid synthesis enzymes including the rate-limiting stearoyl-coenzyme A (CoA) desaturase. Changes in lipid synthesis pathway are associated with increases in cell motility and membrane fluidity as well as re-localization and activation of HER2/EGFR. In turn, the HER2/EGFR signaling results in the accumulation of and vulnerability to the inhibition of MCL1. Drug response and genomics analyses reveal that MCL1 copy-number alterations are associated with effective BET and MCL1 co-targeting. The high frequency of MCL1 chromosomal amplifications (>30%) in basal-like breast cancers suggests that BET and MCL1 co-targeting may have therapeutic utility in this aggressive subtype of breast cancer.
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Affiliation(s)
- Gonghong Yan
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Augustin Luna
- cBio Center, Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Heping Wang
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Behnaz Bozorgui
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xubin Li
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Maga Sanchez
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zeynep Dereli
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nermin Kahraman
- Department of Experimental Therapeutics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Goknur Kara
- Department of Experimental Therapeutics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiaohua Chen
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Caishang Zheng
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Daniel McGrail
- Department of Systems Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nidhi Sahni
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Epigenetics and Molecular Carcinogenesis, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yiling Lu
- Department of Genomic Medicine, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ozgun Babur
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Murat Cokol
- Axcella Therapeutics, Cambridge, MA 02139, USA
| | - Bora Lim
- Breast Cancer Research Program, Dan L Duncan Comprehensive Cancer Center, Houston, TX 77030, USA
| | - Bulent Ozpolat
- Department of Experimental Therapeutics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chris Sander
- cBio Center, Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Gordon B Mills
- Department of Cell, Development and Cancer Biology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
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95
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Dehingia B, Milewska M, Janowski M, Pękowska A. CTCF
shapes chromatin structure and gene expression in health and disease. EMBO Rep 2022; 23:e55146. [PMID: 35993175 PMCID: PMC9442299 DOI: 10.15252/embr.202255146] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/31/2022] [Accepted: 07/14/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Bondita Dehingia
- Dioscuri Centre for Chromatin Biology and Epigenomics, Nencki Institute of Experimental Biology Polish Academy of Sciences Warsaw Poland
| | - Małgorzata Milewska
- Dioscuri Centre for Chromatin Biology and Epigenomics, Nencki Institute of Experimental Biology Polish Academy of Sciences Warsaw Poland
| | - Marcin Janowski
- Dioscuri Centre for Chromatin Biology and Epigenomics, Nencki Institute of Experimental Biology Polish Academy of Sciences Warsaw Poland
| | - Aleksandra Pękowska
- Dioscuri Centre for Chromatin Biology and Epigenomics, Nencki Institute of Experimental Biology Polish Academy of Sciences Warsaw Poland
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96
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Dubois F, Sidiropoulos N, Weischenfeldt J, Beroukhim R. Structural variations in cancer and the 3D genome. Nat Rev Cancer 2022; 22:533-546. [PMID: 35764888 PMCID: PMC10423586 DOI: 10.1038/s41568-022-00488-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/18/2022] [Indexed: 12/21/2022]
Abstract
Structural variations (SVs) affect more of the cancer genome than any other type of somatic genetic alteration but difficulties in detecting and interpreting them have limited our understanding. Clinical cancer sequencing also increasingly aims to detect SVs, leading to a widespread necessity to interpret their biological and clinical relevance. Recently, analyses of large whole-genome sequencing data sets revealed features that impact rates of SVs across the genome in different cancers. A striking feature has been the extent to which, in both their generation and their influence on the selective fitness of cancer cells, SVs are more specific to individual cancer types than other genetic alterations such as single-nucleotide variants. This Perspective discusses how the folding of the 3D genome, and differences in its folding across cell types, affect observed SV rates in different cancer types as well as how SVs can impact cancer cell fitness.
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Affiliation(s)
- Frank Dubois
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nikos Sidiropoulos
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
- The Finsen Laboratory, Rigshospitalet, Copenhagen, Denmark
| | - Joachim Weischenfeldt
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
- The Finsen Laboratory, Rigshospitalet, Copenhagen, Denmark.
- Department of Urology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Rameen Beroukhim
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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97
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Uncovering Oncogenic Mechanisms of Tumor Suppressor Genes in Breast Cancer Multi-Omics Data. Int J Mol Sci 2022; 23:ijms23179624. [PMID: 36077026 PMCID: PMC9455665 DOI: 10.3390/ijms23179624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/16/2022] [Accepted: 08/19/2022] [Indexed: 11/17/2022] Open
Abstract
Tumor suppressor genes (TSGs) are essential genes in the development of cancer. While they have many roles in normal cells, mutation and dysregulation of the TSGs result in aberrant molecular processes in cancer cells. Therefore, understanding TSGs and their roles in the oncogenic process is crucial for prevention and treatment of cancer. In this research, multi-omics breast cancer data were used to identify molecular mechanisms of TSGs in breast cancer. Differentially expressed genes and differentially coexpressed genes were identified in four large-scale transcriptomics data from public repositories and multi-omics data analyses of copy number, methylation and gene expression were performed. The results of the analyses were integrated using enrichment analysis and meta-analysis of a p-value summation method. The integrative analysis revealed that TSGs have a significant relationship with genes of gene ontology terms that are related to cell cycle, genome stability, RNA processing and metastasis, indicating the regulatory mechanisms of TSGs on cancer cells. The analysis frame and research results will provide valuable information for the further identification of TSGs in different types of cancers.
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98
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Darp R, Vittoria MA, Ganem NJ, Ceol CJ. Oncogenic BRAF induces whole-genome doubling through suppression of cytokinesis. Nat Commun 2022; 13:4109. [PMID: 35840569 PMCID: PMC9287415 DOI: 10.1038/s41467-022-31899-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/07/2022] [Indexed: 11/29/2022] Open
Abstract
Melanomas and other solid tumors commonly have increased ploidy, with near-tetraploid karyotypes being most frequently observed. Such karyotypes have been shown to arise through whole-genome doubling events that occur during early stages of tumor progression. The generation of tetraploid cells via whole-genome doubling is proposed to allow nascent tumor cells the ability to sample various pro-tumorigenic genomic configurations while avoiding the negative consequences that chromosomal gains or losses have in diploid cells. Whereas a high prevalence of whole-genome doubling events has been established, the means by which whole-genome doubling arises is unclear. Here, we find that BRAFV600E, the most common mutation in melanomas, can induce whole-genome doubling via cytokinesis failure in vitro and in a zebrafish melanoma model. Mechanistically, BRAFV600E causes decreased activation and localization of RhoA, a critical cytokinesis regulator. BRAFV600E activity during G1/S phases of the cell cycle is required to suppress cytokinesis. During G1/S, BRAFV600E activity causes inappropriate centriole amplification, which is linked in part to inhibition of RhoA and suppression of cytokinesis. Together these data suggest that common abnormalities of melanomas linked to tumorigenesis - amplified centrosomes and whole-genome doubling events - can be induced by oncogenic BRAF and other mutations that increase RAS/MAPK pathway activity.
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Affiliation(s)
- Revati Darp
- University of Massachusetts Chan Medical School, Program in Molecular Medicine, Worcester, MA, USA
- University of Massachusetts Chan Medical School, Department of Molecular, Cellular and Cancer Biology, Worcester, MA, USA
| | - Marc A Vittoria
- Departments of Pharmacology and Experimental Therapeutics and Medicine, Division of Hematology and Oncology, Boston University School of Medicine, Boston, MA, USA
| | - Neil J Ganem
- Departments of Pharmacology and Experimental Therapeutics and Medicine, Division of Hematology and Oncology, Boston University School of Medicine, Boston, MA, USA
| | - Craig J Ceol
- University of Massachusetts Chan Medical School, Program in Molecular Medicine, Worcester, MA, USA.
- University of Massachusetts Chan Medical School, Department of Molecular, Cellular and Cancer Biology, Worcester, MA, USA.
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99
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Klaasen SJ, Truong MA, van Jaarsveld RH, Koprivec I, Štimac V, de Vries SG, Risteski P, Kodba S, Vukušić K, de Luca KL, Marques JF, Gerrits EM, Bakker B, Foijer F, Kind J, Tolić IM, Lens SMA, Kops GJPL. Nuclear chromosome locations dictate segregation error frequencies. Nature 2022; 607:604-609. [PMID: 35831506 PMCID: PMC9300461 DOI: 10.1038/s41586-022-04938-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 06/07/2022] [Indexed: 12/25/2022]
Abstract
Chromosome segregation errors during cell divisions generate aneuploidies and micronuclei, which can undergo extensive chromosomal rearrangements such as chromothripsis1-5. Selective pressures then shape distinct aneuploidy and rearrangement patterns-for example, in cancer6,7-but it is unknown whether initial biases in segregation errors and micronucleation exist for particular chromosomes. Using single-cell DNA sequencing8 after an error-prone mitosis in untransformed, diploid cell lines and organoids, we show that chromosomes have different segregation error frequencies that result in non-random aneuploidy landscapes. Isolation and sequencing of single micronuclei from these cells showed that mis-segregating chromosomes frequently also preferentially become entrapped in micronuclei. A similar bias was found in naturally occurring micronuclei of two cancer cell lines. We find that segregation error frequencies of individual chromosomes correlate with their location in the interphase nucleus, and show that this is highest for peripheral chromosomes behind spindle poles. Randomization of chromosome positions, Cas9-mediated live tracking and forced repositioning of individual chromosomes showed that a greater distance from the nuclear centre directly increases the propensity to mis-segregate. Accordingly, chromothripsis in cancer genomes9 and aneuploidies in early development10 occur more frequently for larger chromosomes, which are preferentially located near the nuclear periphery. Our findings reveal a direct link between nuclear chromosome positions, segregation error frequencies and micronucleus content, with implications for our understanding of tumour genome evolution and the origins of specific aneuploidies during development.
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Affiliation(s)
- Sjoerd J Klaasen
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands
| | - My Anh Truong
- Oncode Institute, Centre for Molecular Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Richard H van Jaarsveld
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands
| | | | | | - Sippe G de Vries
- Oncode Institute, Centre for Molecular Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | | | | | - Kim L de Luca
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Joana F Marques
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Elianne M Gerrits
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Bjorn Bakker
- Department of Ageing Biology/ERIBA, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Floris Foijer
- Department of Ageing Biology/ERIBA, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Jop Kind
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands.,Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands
| | | | - Susanne M A Lens
- Oncode Institute, Centre for Molecular Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Geert J P L Kops
- Oncode Institute, Hubrecht Institute-KNAW (Royal Academy of Arts and Sciences) and University Medical Centre Utrecht, Utrecht, the Netherlands.
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100
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Schukken KM, Sheltzer JM. Extensive protein dosage compensation in aneuploid human cancers. Genome Res 2022; 32:1254-1270. [PMID: 35701073 PMCID: PMC9341510 DOI: 10.1101/gr.276378.121] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 06/01/2022] [Indexed: 01/03/2023]
Abstract
Aneuploidy is a hallmark of human cancers, but the effects of aneuploidy on protein expression remain poorly understood. To uncover how chromosome copy number changes influence the cancer proteome, we conducted an analysis of hundreds of human cancer cell lines and tumors with matched copy number, RNA expression, and protein expression data. We found that a majority of proteins show dosage compensation and fail to change by the degree expected based on chromosome copy number alone. We uncovered a variety of gene groups that were recurrently buffered upon both chromosome gain and loss, including protein complex subunits and cell cycle genes. Several genetic and biophysical factors were predictive of protein buffering, highlighting complex post-translational regulatory mechanisms that maintain appropriate gene product dosage. Finally, we established that chromosomal aneuploidy has a moderate effect on the expression of oncogenes and tumor suppressors, showing that these key cancer drivers can be subject to dosage compensation as well. In total, our comprehensive analysis of aneuploidy and dosage compensation across cancers will help identify the key driver genes encoded on altered chromosomes and will shed light on the overall consequences of aneuploidy during tumor development.
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