1
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Ma W, Tang W, Kwok JS, Tong AH, Lo CW, Chu AT, Chung BH. A review on trends in development and translation of omics signatures in cancer. Comput Struct Biotechnol J 2024; 23:954-971. [PMID: 38385061 PMCID: PMC10879706 DOI: 10.1016/j.csbj.2024.01.024] [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: 10/27/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024] Open
Abstract
The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing of individual tumor genome and transcriptome. The steady growth in genome, epigenome, and transcriptome datasets on a genome-wide scale has significantly increased our capability in capturing signatures that represent both the intrinsic and extrinsic biological features of tumors. These biological differences can help in precise molecular subtyping of cancer, predicting tumor progression, metastatic potential, and resistance to therapeutic agents. In this review, we summarized the current development of genomic, methylomic, transcriptomic, proteomic and metabolic signatures in the field of cancer research and highlighted their potentials in clinical applications to improve diagnosis, prognosis, and treatment decision in cancer patients.
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Affiliation(s)
- Wei Ma
- Hong Kong Genome Institute, Hong Kong, China
| | - Wenshu Tang
- Hong Kong Genome Institute, Hong Kong, China
| | | | | | | | | | - Brian H.Y. Chung
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Kong Genome Project
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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2
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Wang M, Fukushima S, Sheen YS, Ramelyte E, Cruz-Pacheco N, Shi C, Liu S, Banik I, Aquino JD, Sangueza Acosta M, Levesque M, Dummer R, Liau JY, Chu CY, Shain AH, Yeh I, Bastian BC. The genetic evolution of acral melanoma. Nat Commun 2024; 15:6146. [PMID: 39034322 DOI: 10.1038/s41467-024-50233-z] [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: 07/11/2023] [Accepted: 07/02/2024] [Indexed: 07/23/2024] Open
Abstract
Acral melanoma is an aggressive type of melanoma with unknown origins. It is the most common type of melanoma in individuals with dark skin and is notoriously challenging to treat. We examine exome sequencing data of 139 tissue samples, spanning different progression stages, from 37 patients. We find that 78.4% of the melanomas display clustered copy number transitions with focal amplifications, recurring predominantly on chromosomes 5, 11, 12, and 22. These complex genomic aberrations are typically shared across all progression stages of individual patients. TERT activating alterations also arise early, whereas MAP-kinase pathway mutations appear later, an inverted order compared to the canonical evolution. The punctuated formation of complex aberrations and early TERT activation suggest a unique mutational mechanism that initiates acral melanoma. The marked intratumoral heterogeneity, especially concerning MAP-kinase pathway mutations, may partly explain the limited success of therapies for this melanoma subtype.
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Affiliation(s)
- Meng Wang
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Satoshi Fukushima
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yi-Shuan Sheen
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Egle Ramelyte
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Noel Cruz-Pacheco
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Chenxu Shi
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Shanshan Liu
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Ishani Banik
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Jamie D Aquino
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | | | - Mitchell Levesque
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Reinhard Dummer
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Jau-Yu Liau
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chia-Yu Chu
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - A Hunter Shain
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Iwei Yeh
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Boris C Bastian
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
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3
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Mortenson KL, Dawes C, Wilson ER, Patchen NE, Johnson HE, Gertz J, Bailey SD, Liu Y, Varley KE, Zhang X. 3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression. Nat Commun 2024; 15:6130. [PMID: 39033128 DOI: 10.1038/s41467-024-50387-w] [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: 01/23/2024] [Accepted: 07/05/2024] [Indexed: 07/23/2024] Open
Abstract
Cancer genomes are composed of many complex structural alterations on chromosomes and extrachromosomal DNA (ecDNA), making it difficult to identify non-coding enhancer regions that are hijacked to activate oncogene expression. Here, we describe a 3D genomics-based analysis called HAPI (Highly Active Promoter Interactions) to characterize enhancer hijacking. HAPI analysis of HiChIP data from 34 cancer cell lines identified enhancer hijacking events that activate both known and potentially novel oncogenes such as MYC, CCND1, ETV1, CRKL, and ID4. Furthermore, we found enhancer hijacking among multiple oncogenes from different chromosomes, often including MYC, on the same complex amplicons such as ecDNA. We characterized a MYC-ERBB2 chimeric ecDNA, in which ERBB2 heavily hijacks MYC's enhancers. Notably, CRISPRi of the MYC promoter led to increased interaction of ERBB2 with MYC enhancers and elevated ERBB2 expression. Our HAPI analysis tool provides a robust strategy to detect enhancer hijacking and reveals novel insights into oncogene activation.
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Affiliation(s)
- Katelyn L Mortenson
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Courtney Dawes
- Department of Biochemistry, University of Utah, Salt Lake City, UT, USA
| | - Emily R Wilson
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Nathan E Patchen
- Department of Biochemistry, University of Utah, Salt Lake City, UT, USA
| | - Hailey E Johnson
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, USA
| | - Jason Gertz
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Swneke D Bailey
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Surgery and Human Genetics, McGill University, Montreal, QC, Canada
| | - Yang Liu
- Department of Biochemistry, University of Utah, Salt Lake City, UT, USA
| | - Katherine E Varley
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | - Xiaoyang Zhang
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
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4
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Zhao SG, Bootsma M, Zhou S, Shrestha R, Moreno-Rodriguez T, Lundberg A, Pan C, Arlidge C, Hawley JR, Foye A, Weinstein AS, Sjöström M, Zhang M, Li H, Chesner LN, Rydzewski NR, Helzer KT, Shi Y, Lynch M, Dehm SM, Lang JM, Alumkal JJ, He HH, Wyatt AW, Aggarwal R, Zwart W, Small EJ, Quigley DA, Lupien M, Feng FY. Integrated analyses highlight interactions between the three-dimensional genome and DNA, RNA and epigenomic alterations in metastatic prostate cancer. Nat Genet 2024:10.1038/s41588-024-01826-3. [PMID: 39020220 DOI: 10.1038/s41588-024-01826-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/10/2024] [Indexed: 07/19/2024]
Abstract
The impact of variations in the three-dimensional structure of the genome has been recognized, but solid cancer tissue studies are limited. Here, we performed integrated deep Hi-C sequencing with matched whole-genome sequencing, whole-genome bisulfite sequencing, 5-hydroxymethylcytosine (5hmC) sequencing and RNA sequencing across a cohort of 80 biopsy samples from patients with metastatic castration-resistant prostate cancer. Dramatic differences were present in gene expression, 5-methylcytosine/5hmC methylation and in structural variation versus mutation rate between A and B (open and closed) chromatin compartments. A subset of tumors exhibited depleted regional chromatin contacts at the AR locus, linked to extrachromosomal circular DNA (ecDNA) and worse response to AR signaling inhibitors. We also identified topological subtypes associated with stark differences in methylation structure, gene expression and prognosis. Our data suggested that DNA interactions may predispose to structural variant formation, exemplified by the recurrent TMPRSS2-ERG fusion. This comprehensive integrated sequencing effort represents a unique clinical tumor resource.
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Affiliation(s)
- Shuang G Zhao
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA
- William S. Middleton Memorial Veterans Hospital, Madison, Madison, WI, USA
| | - Matthew Bootsma
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
| | - Stanley Zhou
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Raunak Shrestha
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Thaidy Moreno-Rodriguez
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Arian Lundberg
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Chu Pan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Arlidge
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - James R Hawley
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Adam Foye
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Alana S Weinstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Martin Sjöström
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Meng Zhang
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Haolong Li
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Lisa N Chesner
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Nicholas R Rydzewski
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kyle T Helzer
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
| | - Yue Shi
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
| | - Molly Lynch
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Scott M Dehm
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
- Department of Urology, University of Minnesota, Minneapolis, MN, USA
| | - Joshua M Lang
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Joshi J Alumkal
- Department of Internal Medicine, Division of Hematology-Oncology, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Hansen H He
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Alexander W Wyatt
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Rahul Aggarwal
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Wilbert Zwart
- Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands
| | - Eric J Small
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - David A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Felix Y Feng
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
- Department of Urology, University of California San Francisco, San Francisco, CA, USA.
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5
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Mortenson KL, Dawes C, Wilson ER, Patchen NE, Johnson HE, Gertz J, Bailey SD, Liu Y, Varley KE, Zhang X. 3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.23.576965. [PMID: 38328209 PMCID: PMC10849656 DOI: 10.1101/2024.01.23.576965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Cancer genomes are composed of many complex structural alterations on chromosomes and extrachromosomal DNA (ecDNA), making it difficult to identify non-coding enhancer regions that are hijacked to activate oncogene expression. Here, we describe a 3D genomics-based analysis called HAPI (Highly Active Promoter Interactions) to characterize enhancer hijacking. HAPI analysis of HiChIP data from 34 cancer cell lines identified enhancer hijacking events that activate both known and potentially novel oncogenes such as MYC, CCND1 , ETV1 , CRKL , and ID4 . Furthermore, we found enhancer hijacking among multiple oncogenes from different chromosomes, often including MYC , on the same complex amplicons such as ecDNA. We characterized a MYC - ERBB2 chimeric ecDNA, in which ERBB2 heavily hijacks MYC 's enhancers. Notably, CRISPRi of the MYC promoter led to increased interaction of ERBB2 with MYC enhancers and elevated ERBB2 expression. Our HAPI analysis tool provides a robust strategy to detect enhancer hijacking and reveals novel insights into oncogene activation.
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6
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Lin MS, Jo SY, Luebeck J, Chang HY, Wu S, Mischel PS, Bafna V. Transcriptional immune suppression and up-regulation of double-stranded DNA damage and repair repertoires in ecDNA-containing tumors. eLife 2024; 12:RP88895. [PMID: 38896472 PMCID: PMC11186631 DOI: 10.7554/elife.88895] [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] [Indexed: 06/21/2024] Open
Abstract
Extrachromosomal DNA is a common cause of oncogene amplification in cancer. The non-chromosomal inheritance of ecDNA enables tumors to rapidly evolve, contributing to treatment resistance and poor outcome for patients. The transcriptional context in which ecDNAs arise and progress, including chromosomally-driven transcription, is incompletely understood. We examined gene expression patterns of 870 tumors of varied histological types, to identify transcriptional correlates of ecDNA. Here, we show that ecDNA-containing tumors impact four major biological processes. Specifically, ecDNA-containing tumors up-regulate DNA damage and repair, cell cycle control, and mitotic processes, but down-regulate global immune regulation pathways. Taken together, these results suggest profound alterations in gene regulation in ecDNA-containing tumors, shedding light on molecular processes that give rise to their development and progression.
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Affiliation(s)
- Miin S Lin
- Bioinformatics and Systems Biology Graduate Program, University of California, San DiegoLa JollaUnited States
| | - Se-Young Jo
- Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoulRepublic of Korea
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California, San DiegoLa JollaUnited States
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford UniversityStanfordUnited States
- Department of Genetics, Stanford UniversityStanfordUnited States
- Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Sihan Wu
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical CenterDallasUnited States
| | - Paul S Mischel
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford UniversityStanfordUnited States
- Department of Pathology, Stanford University School of MedicineStanfordUnited States
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California, San DiegoLa JollaUnited States
- Halıcıoğlu Data Science Institute, University of California, San DiegoLa JollaUnited States
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7
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Cao X, Song Y, Wu H, Ren X, Sun Q, Liang Z. Quantifying spatial CXCL9 distribution with image analysis predicts improved prognosis of triple-negative breast cancer. Front Genet 2024; 15:1421573. [PMID: 38957805 PMCID: PMC11217326 DOI: 10.3389/fgene.2024.1421573] [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: 04/22/2024] [Accepted: 05/29/2024] [Indexed: 07/04/2024] Open
Abstract
Background: The C-X-C motif chemokine ligand 9 (CXCL9) plays a pivotal role in tumor immunity by recruiting and activating immune cells. However, the relationship between CXCL9 expression and prognosis in triple-negative breast cancer (TNBC) is unclear. Methods: We investigated CXCL9 mRNA expression, clinicopathological features, and prognosis in TNBC patients. We also used computational image analysis to quantify and assess the distribution of CXCL9 protein in the tumor core (TC) and invasive margin (IM). Results: CXCL9 mRNA expression was significantly higher in TNBC tumors compared to normal tissue (p < 0.001) and was associated with smaller tumors (p = 0.022) and earlier stages (p = 0.033). High CXCL9 mRNA expression was correlated with improved overall survival (OS) in three independent cohorts (all p < 0.05). In a separate analysis, low CXCL9 protein expression was associated with increased lymph node metastasis (p = 0.018 and p = 0.036). High CXCL9 protein expression in the TC, IM, or both was associated with prolonged OS (all p < 0.001). Conclusion: High CXCL9 expression, at both the mRNA and protein levels, is associated with improved prognosis in TNBC patients. CXCL9 expression in the TC and/or IM may be an independent prognostic factor.
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Affiliation(s)
- Xi Cao
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Song
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Huanwen Wu
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xinyu Ren
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qiang Sun
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhiyong Liang
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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8
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Smith EA, Belote RL, Cruz NM, Moustafa TE, Becker CA, Jiang A, Alizada S, Chan TY, Seasor TA, Balatico M, Cortes-Sanchez E, Lum DH, Hyngstrom JR, Zeng H, Deacon DC, Grossmann AH, White RM, Zangle TA, Judson-Torres RL. Receptor tyrosine kinase inhibition leads to regression of acral melanoma by targeting the tumor microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.15.599116. [PMID: 38948879 PMCID: PMC11212935 DOI: 10.1101/2024.06.15.599116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Acral melanoma (AM) is an aggressive melanoma variant that arises from palmar, plantar, and nail unit melanocytes. Compared to non-acral cutaneous melanoma (CM), AM is biologically distinct, has an equal incidence across genetic ancestries, typically presents in advanced stage disease, is less responsive to therapy, and has an overall worse prognosis. Independent analysis of published genomic and transcriptomic sequencing identified that receptor tyrosine kinase (RTK) ligands and adapter proteins are frequently amplified, translocated, and/or overexpressed in AM. To target these unique genetic changes, a zebrafish acral melanoma model was exposed to a panel of narrow and broad spectrum multi-RTK inhibitors, revealing that dual FGFR/VEGFR inhibitors decrease acral-analogous melanocyte proliferation and migration. The potent pan-FGFR/VEGFR inhibitor, Lenvatinib, uniformly induces tumor regression in AM patient-derived xenograft (PDX) tumors but only slows tumor growth in CM models. Unlike other multi-RTK inhibitors, Lenvatinib is not directly cytotoxic to dissociated AM PDX tumor cells and instead disrupts tumor architecture and vascular networks. Considering the great difficulty in establishing AM cell culture lines, these findings suggest that AM may be more sensitive to microenvironment perturbations than CM. In conclusion, dual FGFR/VEGFR inhibition may be a viable therapeutic strategy that targets the unique biology of AM.
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Affiliation(s)
- Eric A Smith
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Rachel L Belote
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Molecular Genetics, The Ohio State University, Columbus, OH, USA
| | - Nelly M Cruz
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tarek E Moustafa
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Carly A Becker
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Amanda Jiang
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Shukran Alizada
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Tsz Yin Chan
- Preclinical Research Resource, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Tori A Seasor
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Michael Balatico
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Emilio Cortes-Sanchez
- Immuno Oncology Network Core, The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - David H Lum
- Preclinical Research Resource, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - John R Hyngstrom
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Hanlin Zeng
- Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Precision Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dekker C Deacon
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Allie H Grossmann
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Richard M White
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Ludwig Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford UK
| | - Thomas A Zangle
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Robert L Judson-Torres
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
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9
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Zhu K, Jones MG, Luebeck J, Bu X, Yi H, Hung KL, Wong ITL, Zhang S, Mischel PS, Chang HY, Bafna V. CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580594. [PMID: 38405779 PMCID: PMC10888815 DOI: 10.1101/2024.02.15.580594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Extrachromosomal DNA (ecDNA) is a central mechanism for focal oncogene amplification in cancer, occurring in approximately 15% of early stage cancers and 30% of late-stage cancers. EcDNAs drive tumor formation, evolution, and drug resistance by dynamically modulating oncogene copy-number and rewiring gene-regulatory networks. Elucidating the genomic architecture of ecDNA amplifications is critical for understanding tumor pathology and developing more effective therapies. Paired-end short-read (Illumina) sequencing and mapping have been utilized to represent ecDNA amplifications using a breakpoint graph, where the inferred architecture of ecDNA is encoded as a cycle in the graph. Traversals of breakpoint graph have been used to successfully predict ecDNA presence in cancer samples. However, short-read technologies are intrinsically limited in the identification of breakpoints, phasing together of complex rearrangements and internal duplications, and deconvolution of cell-to-cell heterogeneity of ecDNA structures. Long-read technologies, such as from Oxford Nanopore Technologies, have the potential to improve inference as the longer reads are better at mapping structural variants and are more likely to span rearranged or duplicated regions. Here, we propose CoRAL (Complete Reconstruction of Amplifications with Long reads), for reconstructing ecDNA architectures using long-read data. CoRAL reconstructs likely cyclic architectures using quadratic programming that simultaneously optimizes parsimony of reconstruction, explained copy number, and consistency of long-read mapping. CoRAL substantially improves reconstructions in extensive simulations and 9 datasets from previously-characterized cell-lines as compared to previous short-read-based tools. As long-read usage becomes wide-spread, we anticipate that CoRAL will be a valuable tool for profiling the landscape and evolution of focal amplifications in tumors.
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Affiliation(s)
- Kaiyuan Zhu
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- These authors contributed equally to this work
| | - Matthew G. Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- These authors contributed equally to this work
| | - Jens Luebeck
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
| | - Xinxin Bu
- Bioinformatics Undergraduate Program, School of Biological Sciences, UC San Diego, La Jolla, CA, USA
| | - Hyerim Yi
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L. Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Shu Zhang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Paul S. Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- Halicioglu Data Science Institute, UC San Diego, La Jolla, CA, USA
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10
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Conway JR, Gillani R, Crowdis J, Reardon B, Park J, Han S, Titchen B, Benamar M, Haq R, Van Allen EM. Somatic structural variants drive distinct modes of oncogenesis in melanoma. J Clin Invest 2024; 134:e177270. [PMID: 38758740 PMCID: PMC11213511 DOI: 10.1172/jci177270] [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: 11/07/2023] [Accepted: 05/07/2024] [Indexed: 05/19/2024] Open
Abstract
The diversity of structural variants (SVs) in melanoma and how they impact oncogenesis are incompletely known. We performed harmonized analysis of SVs across melanoma histologic and genomic subtypes, and we identified distinct global properties between subtypes. These included the frequency and size of SVs and SV classes, their relation to chromothripsis events, and the impact on cancer-related genes of SVs that alter topologically associated domain (TAD) boundaries. Following our prior identification of double-stranded break repair deficiency in a subset of triple-wild-type cutaneous melanoma, we identified MRE11 and NBN loss-of-function SVs in melanomas with this mutational signature. Experimental knockouts of MRE11 and NBN, followed by olaparib cell viability assays in melanoma cells, indicated that dysregulation of each of these genes may cause sensitivity to PARP inhibitors in cutaneous melanomas. Broadly, harmonized analysis of melanoma SVs revealed distinct global genomic properties and molecular drivers, which may have biological and therapeutic impact.
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Affiliation(s)
- Jake R. Conway
- Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Riaz Gillani
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
- Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Jett Crowdis
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Brendan Reardon
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jihye Park
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Seunghun Han
- Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Breanna Titchen
- Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - Rizwan Haq
- Center for Cancer Precision Medicine and
| | - Eliezer M. Van Allen
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Center for Cancer Precision Medicine and
- Parker Institute for Cancer Immunotherapy, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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11
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Dermawan JK, Slotkin E, Tap WD, Meyers P, Wexler L, Healey J, Vanoli F, Vanderbilt CM, Antonescu CR. Chromoplexy Is a Frequent Early Clonal Event in EWSR1-Rearranged Round Cell Sarcomas That Can Be Detected Using Clinically Validated Targeted Sequencing Panels. Cancer Res 2024; 84:1504-1516. [PMID: 38335254 DOI: 10.1158/0008-5472.can-23-2573] [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: 08/25/2023] [Revised: 12/09/2023] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
Chromoplexy is a phenomenon defined by large-scale chromosomal chained rearrangements. A previous study observed chromoplectic events in a subset of Ewing sarcomas (ES), which was linked to an increased relapse rate. Chromoplexy analysis could potentially facilitate patient risk stratification, particularly if it could be detected with clinically applied targeted next-generation sequencing (NGS) panels. Using DELLY, a structural variant (SV) calling algorithm that is part of the MSK-IMPACT pipeline, we characterized the spectrum of SVs in EWSR1-fused round cell sarcomas, including 173 ES and 104 desmoplastic small round cell tumors (DSRCT), to detect chromoplexy and evaluate its association with clinical and genomic features. Chromoplectic events were detected in 31% of the ES cases and 19% of the DSRCT cases. EWSR1 involvement accounted for 76% to 93% of these events, being rearranged with diverse noncanonical gene partners across the genome, involving mainly translocations but also intrachromosomal deletions and inversions. A major breakpoint cluster was located on EWSR1 exons 8-13. In a subset of cases, the SVs disrupted adjacent loci, forming deletion bridges. Longitudinal sequencing and breakpoint allele fraction analysis showed that chromoplexy is an early event that remains detectable throughout disease progression and likely develops simultaneously with the driver fusion. The presence of chromoplexy was validated in an external ES patient cohort with whole exome sequencing. Chromoplexy was significantly more likely to be present in cases that were metastatic at presentation. Together, this study identifies chromoplexy as a frequent genomic alteration in diverse EWSR1-rearranged tumors that can be captured by targeted NGS panels. SIGNIFICANCE Chromoplexy is detectable using targeted NGS in a substantial portion of EWSR1-rearranged round cell sarcomas as an early and persistent clonal event, expanding the genomic complexity of fusion-associated sarcomas.
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Affiliation(s)
- Josephine K Dermawan
- Department of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Emily Slotkin
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - William D Tap
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Paul Meyers
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Leonard Wexler
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John Healey
- Department of Surgery, Orthopedic Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Fabio Vanoli
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Chad M Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Cristina R Antonescu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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12
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Chen Z, Huang H, Hong H, Huang H, Weng H, Yu L, Xiao J, Wang Z, Fang X, Yao Y, Yue JX, Lin T. Full-spectral genome analysis of natural killer/T cell lymphoma highlights impacts of genome instability in driving its progression. Genome Med 2024; 16:48. [PMID: 38566223 PMCID: PMC10986005 DOI: 10.1186/s13073-024-01324-5] [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: 08/12/2023] [Accepted: 03/22/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Natural killer/T cell lymphoma (NKTCL) is a clinically and genetically heterogeneous disease with poor prognosis. Genome sequencing and mutation characterization provides a powerful approach for patient stratification, treatment target discovery, and etiology identification. However, previous studies mostly concentrated on base-level mutations in primary NKTCL, whereas the large-scale genomic alterations in NKTCL and the mutational landscapes in relapsed/refractory NKTCL remain largely unexplored. METHODS Here, we assembled whole-genome sequencing and whole-exome sequencing data from 163 patients with primary or relapsed/refractory NKTCL and compared their somatic mutational landscapes at both nucleotide and structure levels. RESULTS Our study not only confirmed previously reported common NKTCL mutational targets like STAT3, TP53, and DDX3X but also unveiled several novel high-frequency mutational targets such as PRDM9, DST, and RBMX. In terms of the overall mutational landscape, we observed striking differences between primary and relapsed/refractory NKTCL patient groups, with the latter exhibits higher levels of tumor mutation burden, copy number variants (CNVs), and structural variants (SVs), indicating a strong signal of genomic instability. Complex structural rearrangements such as chromothripsis and focal amplification are also significantly enriched in relapsed/refractory NKTCL patients, exerting a substantial impact on prognosis. Accordingly, we devised a novel molecular subtyping system (i.e., C0-C4) with distinct prognosis by integrating potential driver mutations at both nucleotide and structural levels, which further provides an informative guidance for novel treatments that target these specific driver mutations and genome instability as a whole. CONCLUSIONS The striking differences underlying the mutational landscapes between the primary and relapsed/refractory NKTCL patients highlight the importance of genomic instability in driving the progression of NKTCL. Our newly proposed molecular subtyping system is valuable in assisting patient stratification and novel treatment design towards a better prognosis in the age of precision medicine.
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Affiliation(s)
- Zegeng Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - He Huang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Huangming Hong
- Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China
| | - Huageng Huang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Huawei Weng
- Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China
| | - Le Yu
- Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China
| | - Jian Xiao
- Department of Medical Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China
| | - Zhao Wang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Xiaojie Fang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Yuyi Yao
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Jia-Xing Yue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
| | - Tongyu Lin
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
- Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
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13
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Keskus A, Bryant A, Ahmad T, Yoo B, Aganezov S, Goretsky A, Donmez A, Lansdon LA, Rodriguez I, Park J, Liu Y, Cui X, Gardner J, McNulty B, Sacco S, Shetty J, Zhao Y, Tran B, Narzisi G, Helland A, Cook DE, Chang PC, Kolesnikov A, Carroll A, Molloy EK, Pushel I, Guest E, Pastinen T, Shafin K, Miga KH, Malikic S, Day CP, Robine N, Sahinalp C, Dean M, Farooqi MS, Paten B, Kolmogorov M. Severus: accurate detection and characterization of somatic structural variation in tumor genomes using long reads. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.22.24304756. [PMID: 38585974 PMCID: PMC10996739 DOI: 10.1101/2024.03.22.24304756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Most current studies rely on short-read sequencing to detect somatic structural variation (SV) in cancer genomes. Long-read sequencing offers the advantage of better mappability and long-range phasing, which results in substantial improvements in germline SV detection. However, current long-read SV detection methods do not generalize well to the analysis of somatic SVs in tumor genomes with complex rearrangements, heterogeneity, and aneuploidy. Here, we present Severus: a method for the accurate detection of different types of somatic SVs using a phased breakpoint graph approach. To benchmark various short- and long-read SV detection methods, we sequenced five tumor/normal cell line pairs with Illumina, Nanopore, and PacBio sequencing platforms; on this benchmark Severus showed the highest F1 scores (harmonic mean of the precision and recall) as compared to long-read and short-read methods. We then applied Severus to three clinical cases of pediatric cancer, demonstrating concordance with known genetic findings as well as revealing clinically relevant cryptic rearrangements missed by standard genomic panels.
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Affiliation(s)
- Ayse Keskus
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Asher Bryant
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Tanveer Ahmad
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Byunggil Yoo
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | | | - Anton Goretsky
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Ataberk Donmez
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Lisa A. Lansdon
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Isabel Rodriguez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Jimin Park
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Yuelin Liu
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Xiwen Cui
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | | | - Samuel Sacco
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Jyoti Shetty
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Yongmei Zhao
- Sequencing Facility Bioinformatics Group, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bao Tran
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | | | | | | | | | | | - Erin K. Molloy
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Irina Pushel
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Erin Guest
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Tomi Pastinen
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Kishwar Shafin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Salem Malikic
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Chi-Ping Day
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Cenk Sahinalp
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Midhat S. Farooqi
- Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | | | - Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
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14
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Yamada M, Keller RR, Gutierrez RL, Cameron D, Suzuki H, Sanghrajka R, Vaynshteyn J, Gerwin J, Maura F, Hooper W, Shah M, Robine N, Demarest P, Bayin NS, Zapater LJ, Reed C, Hébert S, Masilionis I, Chaligne R, Socci ND, Taylor MD, Kleinman CL, Joyner AL, Raju GP, Kentsis A. Childhood cancer mutagenesis caused by transposase-derived PGBD5. SCIENCE ADVANCES 2024; 10:eadn4649. [PMID: 38517960 PMCID: PMC10959420 DOI: 10.1126/sciadv.adn4649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/16/2024] [Indexed: 03/24/2024]
Abstract
Genomic rearrangements are a hallmark of most childhood tumors, including medulloblastoma, one of the most common brain tumors in children, but their causes remain largely unknown. Here, we show that PiggyBac transposable element derived 5 (Pgbd5) promotes tumor development in multiple developmentally accurate mouse models of Sonic Hedgehog (SHH) medulloblastoma. Most Pgbd5-deficient mice do not develop tumors, while maintaining normal cerebellar development. Ectopic activation of SHH signaling is sufficient to enforce cerebellar granule cell progenitor-like cell states, which exhibit Pgbd5-dependent expression of distinct DNA repair and neurodevelopmental factors. Mouse medulloblastomas expressing Pgbd5 have increased numbers of somatic structural DNA rearrangements, some of which carry PGBD5-specific sequences at their breakpoints. Similar sequence breakpoints recurrently affect somatic DNA rearrangements of known tumor suppressors and oncogenes in medulloblastomas in 329 children. This identifies PGBD5 as a medulloblastoma mutator and provides a genetic mechanism for the generation of oncogenic DNA rearrangements in childhood cancer.
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Affiliation(s)
- Makiko Yamada
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | - Ross R. Keller
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | | | - Daniel Cameron
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | - Hiromichi Suzuki
- Division of Brain Tumor Translational Research, National Cancer Center Research Institute, Tokyo, Japan
| | - Reeti Sanghrajka
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
| | - Jake Vaynshteyn
- Departments of Neurology and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey Gerwin
- Departments of Neurology and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Francesco Maura
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - William Hooper
- Computational Biology, New York Genome Center, New York, NY, USA
| | - Minita Shah
- Computational Biology, New York Genome Center, New York, NY, USA
| | - Nicolas Robine
- Computational Biology, New York Genome Center, New York, NY, USA
| | - Phillip Demarest
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | - N. Sumru Bayin
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
- Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge University, Cambridge, UK
| | - Luz Jubierre Zapater
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | - Casie Reed
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | - Steven Hébert
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Ignas Masilionis
- Single-Cell Analytics Innovation Lab, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronan Chaligne
- Single-Cell Analytics Innovation Lab, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicholas D. Socci
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael D. Taylor
- Department of Pediatrics—Hematology/Oncology and Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Hematology-Oncology Section, Texas Children’s Cancer Center, Houston, TX, USA
- The Arthur and Sonia Labatt Brain Tumour Research Centre and the Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Claudia L. Kleinman
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Alexandra L. Joyner
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
- Biochemistry, Cell and Molecular Biology Program and Neuroscience Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - G. Praveen Raju
- Departments of Neurology and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex Kentsis
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Departments of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Medical College of Cornell University, New York, NY, USA
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15
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Chang E, An JY. Whole-genome doubling is a double-edged sword: the heterogeneous role of whole-genome doubling in various cancer types. BMB Rep 2024; 57:125-134. [PMID: 38449300 PMCID: PMC10979346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 03/08/2024] Open
Abstract
Whole-genome doubling (WGD), characterized by the duplication of an entire set of chromosomes, is commonly observed in various tumors, occurring in approximately 30-40% of patients with different cancer types. The effect of WGD on tumorigenesis varies depending on the context, either promoting or suppressing tumor progression. Recent advances in genomic technologies and large-scale clinical investigations have led to the identification of the complex patterns of genomic alterations underlying WGD and their functional consequences on tumorigenesis progression and prognosis. Our comprehensive review aims to summarize the causes and effects of WGD on tumorigenesis, highlighting its dualistic influence on cancer cells. We then introduce recent findings on WGD-associated molecular signatures and genetic aberrations and a novel subtype related to WGD. Finally, we discuss the clinical implications of WGD in cancer subtype classification and future therapeutic interventions. Overall, a comprehensive understanding of WGD in cancer biology is crucial to unraveling its complex role in tumorigenesis and identifying novel therapeutic strategies. [BMB Reports 2024; 57(3): 125-134].
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Affiliation(s)
- Eunhyong Chang
- Department of Integrated Biomedical and Life Science, Korea University, Seoul 02841, Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul 02841, Korea
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, Seoul 02841, Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul 02841, Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul 02841, Korea
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16
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Wang S, Wu CY, He MM, Yong JX, Chen YX, Qian LM, Zhang JL, Zeng ZL, Xu RH, Wang F, Zhao Q. Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer. Nat Commun 2024; 15:1515. [PMID: 38373991 PMCID: PMC10876971 DOI: 10.1038/s41467-024-45479-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/24/2024] [Indexed: 02/21/2024] Open
Abstract
The clinical implications of extrachromosomal DNA (ecDNA) in cancer therapy remain largely elusive. Here, we present a comprehensive analysis of ecDNA amplification spectra and their association with clinical and molecular features in multiple cohorts comprising over 13,000 pan-cancer patients. Using our developed computational framework, GCAP, and validating it with multifaceted approaches, we reveal a consistent pan-cancer pattern of mutual exclusivity between ecDNA amplification and microsatellite instability (MSI). In addition, we establish the role of ecDNA amplification as a risk factor and refine genomic subtypes in a cohort from 1015 colorectal cancer patients. Importantly, our investigation incorporates data from four clinical trials focused on anti-PD-1 immunotherapy, demonstrating the pivotal role of ecDNA amplification as a biomarker for guiding checkpoint blockade immunotherapy in gastrointestinal cancer. This finding represents clinical evidence linking ecDNA amplification to the effectiveness of immunotherapeutic interventions. Overall, our study provides a proof-of-concept of identifying ecDNA amplification from cancer whole-exome sequencing (WES) data, highlighting the potential of ecDNA amplification as a valuable biomarker for facilitating personalized cancer treatment.
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Affiliation(s)
- Shixiang Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Chen-Yi Wu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Ming-Ming He
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jia-Xin Yong
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yan-Xing Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Li-Mei Qian
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jin-Ling Zhang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Zhao-Lei Zeng
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Rui-Hua Xu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060, China.
| | - Feng Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
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17
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Kinzig CG, Zakusilo G, Takai KK, Myler LR, de Lange T. ATR blocks telomerase from converting DNA breaks into telomeres. Science 2024; 383:763-770. [PMID: 38359122 DOI: 10.1126/science.adg3224] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 12/13/2023] [Indexed: 02/17/2024]
Abstract
Telomerase, the enzyme that maintains telomeres at natural chromosome ends, should be repressed at double-strand breaks (DSBs), where neotelomere formation can cause terminal truncations. We developed an assay to detect neotelomere formation at Cas9- or I-SceI-induced DSBs in human cells. Telomerase added telomeric repeats to DSBs, leading to interstitial telomeric repeat insertions or the formation of functional neotelomeres accompanied by terminal deletions. The threat that telomerase poses to genome integrity was minimized by ataxia telangiectasia and Rad3-related (ATR) kinase signaling, which inhibited telomerase at resected DSBs. In addition to acting at resected DSBs, telomerase used the extruded strand in the Cas9 enzyme-product complex as a primer for neotelomere formation. We propose that although neotelomere formation is detrimental in normal human cells, it may allow cancer cells to escape from breakage-fusion-bridge cycles.
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Affiliation(s)
- Charles G Kinzig
- Laboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
- Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD/PhD Program, New York, NY 10065, USA
| | - George Zakusilo
- Laboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
- Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD/PhD Program, New York, NY 10065, USA
| | - Kaori K Takai
- Laboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
| | - Logan R Myler
- Laboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
| | - Titia de Lange
- Laboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
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18
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Baker TM, Waise S, Tarabichi M, Van Loo P. Aneuploidy and complex genomic rearrangements in cancer evolution. NATURE CANCER 2024; 5:228-239. [PMID: 38286829 PMCID: PMC7616040 DOI: 10.1038/s43018-023-00711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/14/2023] [Indexed: 01/31/2024]
Abstract
Mutational processes that alter large genomic regions occur frequently in developing tumors. They range from simple copy number gains and losses to the shattering and reassembly of entire chromosomes. These catastrophic events, such as chromothripsis, chromoplexy and the formation of extrachromosomal DNA, affect the expression of many genes and therefore have a substantial effect on the fitness of the cells in which they arise. In this review, we cover large genomic alterations, the mechanisms that cause them and their effect on tumor development and evolution.
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Affiliation(s)
- Toby M Baker
- The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sara Waise
- The Francis Crick Institute, London, UK
- Cancer Sciences Unit, University of Southampton, Southampton, UK
| | - Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research (IRIBHM), Université Libre de Bruxelles, Brussels, Belgium
| | - 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.
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19
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Viergever BJ, Raats DAE, Geurts V, Mullenders J, Jonges TN, van der Heijden MS, van Es JH, Kranenburg O, Meijer RP. Urine-derived bladder cancer organoids (urinoids) as a tool for cancer longitudinal response monitoring and therapy adaptation. Br J Cancer 2024; 130:369-379. [PMID: 38102228 PMCID: PMC10844626 DOI: 10.1038/s41416-023-02494-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 10/27/2023] [Accepted: 11/06/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Bladder cancer is one of the most common cancer types worldwide. Generally, research relies on invasive sampling strategies. METHODS Here, we generate bladder cancer organoids directly from urine (urinoids). In this project, we establish 12 urinoid lines from 22 patients with non-muscle and muscle-invasive bladder tumours, with an efficiency of 55%. RESULTS The histopathological features of the urinoids accurately resemble those of the original bladder tumours. Genetically, there is a high concordance of single nucleotide polymorphisms (92.56%) and insertions & deletions (91.54%) between urinoids and original tumours from patient 4. Furthermore, these urinoids show sensitivity to bladder cancer drugs, similar to their tissue-derived organoid counterparts. Genetic analysis of longitudinally generated tumoroids and urinoids from one patient receiving systemic immunotherapy, identify alterations that may guide the choice for second-line therapy. Successful treatment adaptation was subsequently demonstrated in the urinoid setting. CONCLUSION Therefore, urinoids can advance precision medicine in bladder cancer as a non-invasive platform for tumour pathogenesis, longitudinal drug-response monitoring, and therapy adaptation.
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Affiliation(s)
- Bastiaan J Viergever
- Laboratory Translational Oncology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands
- Department of Oncological Urology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands
| | - Daniëlle A E Raats
- Laboratory Translational Oncology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands
- Utrecht Platform for Organoid Technology, Utrecht University, 3584 CX, Utrecht, The Netherlands
| | - Veerle Geurts
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3584 CT, Utrecht, The Netherlands
| | - Jasper Mullenders
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3584 CT, Utrecht, The Netherlands
| | - Trudy N Jonges
- Department of Pathology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | | | - Johan H van Es
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3584 CT, Utrecht, The Netherlands
| | - Onno Kranenburg
- Laboratory Translational Oncology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands
- Utrecht Platform for Organoid Technology, Utrecht University, 3584 CX, Utrecht, The Netherlands
| | - Richard P Meijer
- Laboratory Translational Oncology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands.
- Department of Oncological Urology, Division of Imaging and Oncology, University Medical Center Utrecht, 3584CX, Utrecht, The Netherlands.
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20
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Yang C, Zhang Z, Huang Y, Xie X, Liao H, Xiao J, Veldsman WP, Yin K, Fang X, Zhang L. LRTK: a platform agnostic toolkit for linked-read analysis of both human genome and metagenome. Gigascience 2024; 13:giae028. [PMID: 38869148 PMCID: PMC11170215 DOI: 10.1093/gigascience/giae028] [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: 09/14/2023] [Revised: 03/15/2024] [Accepted: 05/09/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Linked-read sequencing technologies generate high-base quality short reads that contain extrapolative information on long-range DNA connectedness. These advantages of linked-read technologies are well known and have been demonstrated in many human genomic and metagenomic studies. However, existing linked-read analysis pipelines (e.g., Long Ranger) were primarily developed to process sequencing data from the human genome and are not suited for analyzing metagenomic sequencing data. Moreover, linked-read analysis pipelines are typically limited to 1 specific sequencing platform. FINDINGS To address these limitations, we present the Linked-Read ToolKit (LRTK), a unified and versatile toolkit for platform agnostic processing of linked-read sequencing data from both human genome and metagenome. LRTK provides functions to perform linked-read simulation, barcode sequencing error correction, barcode-aware read alignment and metagenome assembly, reconstruction of long DNA fragments, taxonomic classification and quantification, and barcode-assisted genomic variant calling and phasing. LRTK has the ability to process multiple samples automatically and provides users with the option to generate reproducible reports during processing of raw sequencing data and at multiple checkpoints throughout downstream analysis. We applied LRTK on linked reads from simulation, mock community, and real datasets for both human genome and metagenome. We showcased LRTK's ability to generate comparative performance results from preceding benchmark studies and to report these results in publication-ready HTML document plots. CONCLUSIONS LRTK provides comprehensive and flexible modules along with an easy-to-use Python-based workflow for processing linked-read sequencing datasets, thereby filling the current gap in the field caused by platform-centric genome-specific linked-read data analysis tools.
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Affiliation(s)
- Chao Yang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
| | - Zhenmiao Zhang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
| | - Yufen Huang
- BGI Research, Shenzhen 518083, China
- BGI Genomics, Shenzhen 518083, China
| | | | - Herui Liao
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR 999077, Hong Kong
| | - Jin Xiao
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
| | - Werner Pieter Veldsman
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
| | - Kejing Yin
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
| | - Xiaodong Fang
- BGI Genomics, Shenzhen 518083, China
- BGI Research, Sanya 572025, China
| | - Lu Zhang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
- Institute for Research and Continuing Education, Hong Kong Baptist University, Hong Kong SAR 999077, Hong Kong
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21
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Al Assaad M, Gundem G, Liechty B, Sboner A, Medina J, Papaemmanuil E, Sternberg CN, Marks A, Souweidane MM, Greenfield JP, Tran I, Snuderl M, Elemento O, Imielinski M, Pisapia DJ, Mosquera JM. The importance of escalating molecular diagnostics in patients with low-grade pediatric brain cancer. Cold Spring Harb Mol Case Stud 2023; 9:a006275. [PMID: 37652664 PMCID: PMC10815291 DOI: 10.1101/mcs.a006275] [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: 02/01/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023] Open
Abstract
Pilocytic astrocytomas are the most common pediatric brain tumors, typically presenting as low-grade neoplasms. We report two cases of pilocytic astrocytoma with atypical tumor progression. Case 1 involves a 12-yr-old boy with an unresectable suprasellar tumor, negative for BRAF rearrangement but harboring a BRAF p.V600E mutation. He experienced tumor size reduction and stable disease following dabrafenib treatment. Case 2 describes a 6-yr-old boy with a thalamic tumor that underwent multiple resections, with no actionable driver detected using targeted next-generation sequencing. Whole-genome and RNA-seq analysis identified an internal tandem duplication in FGFR1 and RAS pathway activation. Future management options include FGFR1 inhibitors. These cases demonstrate the importance of escalating molecular diagnostics for pediatric brain cancer, advocating for early reflexing to integrative whole-genome sequencing and transcriptomic profiling when targeted panels are uninformative. Identifying molecular drivers can significantly impact treatment decisions and improve patient outcomes.
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Affiliation(s)
- Majd Al Assaad
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | | | - Benjamin Liechty
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | - Andrea Sboner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | | | | | - Cora N Sternberg
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | - Asher Marks
- Pediatric Hematology/Oncology, Yale Medicine, New Haven, Connecticut 06520, USA
| | - Mark M Souweidane
- Pediatric Neurological Surgery, Weill Cornell Medicine, New York, New York 10065, USA
| | - Jeffrey P Greenfield
- Pediatric Neurological Surgery, Weill Cornell Medicine, New York, New York 10065, USA
| | - Ivy Tran
- Department of Pathology, NYU Langone Health and School of Medicine, New York, New York 10016, USA
| | - Matija Snuderl
- Department of Pathology, NYU Langone Health and School of Medicine, New York, New York 10016, USA
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
| | - Marcin Imielinski
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | - David J Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA;
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | - Juan Miguel Mosquera
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York 10065, USA;
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York 10065, USA
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22
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A mass balance principle for finding loose ends in cancer genomes. Nat Genet 2023; 55:2031-2032. [PMID: 37978319 DOI: 10.1038/s41588-023-01539-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
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23
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Choo ZN, Behr JM, Deshpande A, Hadi K, Yao X, Tian H, Takai K, Zakusilo G, Rosiene J, Da Cruz Paula A, Weigelt B, Setton J, Riaz N, Powell SN, Busam K, Shoushtari AN, Ariyan C, Reis-Filho J, de Lange T, Imieliński M. Most large structural variants in cancer genomes can be detected without long reads. Nat Genet 2023; 55:2139-2148. [PMID: 37945902 PMCID: PMC10703688 DOI: 10.1038/s41588-023-01540-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/19/2023] [Indexed: 11/12/2023]
Abstract
Short-read sequencing is the workhorse of cancer genomics yet is thought to miss many structural variants (SVs), particularly large chromosomal alterations. To characterize missing SVs in short-read whole genomes, we analyzed 'loose ends'-local violations of mass balance between adjacent DNA segments. In the landscape of loose ends across 1,330 high-purity cancer whole genomes, most large (>10-kb) clonal SVs were fully resolved by short reads in the 87% of the human genome where copy number could be reliably measured. Some loose ends represent neotelomeres, which we propose as a hallmark of the alternative lengthening of telomeres phenotype. These pan-cancer findings were confirmed by long-molecule profiles of 38 breast cancer and melanoma cases. Our results indicate that aberrant homologous recombination is unlikely to drive the majority of large cancer SVs. Furthermore, analysis of mass balance in short-read whole genome data provides a surprisingly complete picture of cancer chromosomal structure.
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Affiliation(s)
- Zi-Ning Choo
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Tri-institutional MD PhD Program, Weill Cornell Medicine, New York, NY, USA
- Physiology and Biophysics PhD Program, Weill Cornell Medicine, New York, NY, USA
| | - Julie M Behr
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Tri-institutional PhD Program in Computational Biology and Medicine, New York, NY, USA
| | - Aditya Deshpande
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Tri-institutional PhD Program in Computational Biology and Medicine, New York, NY, USA
| | - Kevin Hadi
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Physiology and Biophysics PhD Program, Weill Cornell Medicine, New York, NY, USA
| | - Xiaotong Yao
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Tri-institutional PhD Program in Computational Biology and Medicine, New York, NY, USA
| | - Huasong Tian
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Kaori Takai
- Laboratory of Cell Biology and Genetics, Rockefeller University, New York, NY, USA
| | - George Zakusilo
- Laboratory of Cell Biology and Genetics, Rockefeller University, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Britta Weigelt
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeremy Setton
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem Riaz
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon N Powell
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Klaus Busam
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Titia de Lange
- Laboratory of Cell Biology and Genetics, Rockefeller University, New York, NY, USA
| | - Marcin Imieliński
- New York Genome Center, New York, NY, USA.
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
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24
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Carvalho LAD, Aguiar FC, Smalley KSM, Possik PA. Acral melanoma: new insights into the immune and genomic landscape. Neoplasia 2023; 46:100947. [PMID: 37913653 PMCID: PMC10637990 DOI: 10.1016/j.neo.2023.100947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/03/2023]
Abstract
Acral melanoma is a rare subtype of melanoma that arises on the non-hair bearing skin of the nail bed, palms of the hand and soles of the feet. It is unique among melanomas in not being linked to ultraviolet radiation (UVR) exposure from the sun, and, as such, its incidence is similar across populations who are of Asian, Hispanic, African and European origin. Although research into acral melanoma has lagged behind that of sun-exposed cutaneous melanoma, recent studies have begun to address the unique genetics and immune features of acral melanoma. In this review we will discuss the latest progress in understanding the biology of acral melanoma across different ethnic populations and will outline how these new discoveries can help to guide the therapeutic management of this rare tumor.
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Affiliation(s)
| | - Flavia C Aguiar
- Division of Basic and Experimental Research, Brazilian National Cancer Institute, Rua Andre Cavalcanti 37, Rio de Janeiro, RJ, 20231-050, Brazil
| | - Keiran S M Smalley
- Department of Tumor Biology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612 USA.
| | - Patricia A Possik
- Division of Basic and Experimental Research, Brazilian National Cancer Institute, Rua Andre Cavalcanti 37, Rio de Janeiro, RJ, 20231-050, Brazil
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25
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Espejo Valle-Inclán J, Cortés-Ciriano I. ReConPlot: an R package for the visualization and interpretation of genomic rearrangements. Bioinformatics 2023; 39:btad719. [PMID: 38058190 PMCID: PMC10710371 DOI: 10.1093/bioinformatics/btad719] [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: 02/24/2023] [Revised: 09/13/2023] [Accepted: 12/05/2023] [Indexed: 12/08/2023] Open
Abstract
MOTIVATION Whole-genome sequencing studies of human tumours have revealed that complex forms of structural variation, collectively known as complex genome rearrangements (CGRs), are pervasive across diverse cancer types. Detection, classification, and mechanistic interpretation of CGRs requires the visualization of complex patterns of somatic copy number aberrations (SCNAs) and structural variants (SVs). However, there is a lack of tools specifically designed to facilitate the visualization and study of CGRs. RESULTS We present ReConPlot (REarrangement and COpy Number PLOT), an R package that provides functionalities for the joint visualization of SCNAs and SVs across one or multiple chromosomes. ReConPlot is based on the popular ggplot2 package, thus allowing customization of plots and the generation of publication-quality figures with minimal effort. Overall, ReConPlot facilitates the exploration, interpretation, and reporting of CGR patterns. AVAILABILITY AND IMPLEMENTATION The R package ReConPlot is available at https://github.com/cortes-ciriano-lab/ReConPlot. Detailed documentation and a tutorial with examples are provided with the package.
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Affiliation(s)
- Jose Espejo Valle-Inclán
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Isidro Cortés-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
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26
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Chong Y, Tu X, Lu Y, Gao Z, He X, Hong J, Wu J, Wu D, Xi D, Deng W. Two High-Quality Cygnus Genome Assemblies Reveal Genomic Variations Associated with Plumage Color. Int J Mol Sci 2023; 24:16953. [PMID: 38069278 PMCID: PMC10707585 DOI: 10.3390/ijms242316953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
As an exemplary model for examining molecular mechanisms responsible for extreme phenotypic variations, plumage color has garnered significant interest. The Cygnus genus features two species, Cygnus olor and Cygnus atratus, that exhibit striking disparities in plumage color. However, the molecular foundation for this differentiation has remained elusive. Herein, we present two high-quality genomes for C. olor and C. atratus, procured using the Illumina and Nanopore technologies. The assembled genome of C. olor was 1.12 Gb in size with a contig N50 of 26.82 Mb, while its counterpart was 1.13 Gb in size with a contig N50 of 21.91 Mb. A comparative analysis unveiled three genes (TYR, SLC45A2, and SLC7A11) with structural variants in the melanogenic pathway. Notably, we also identified a novel gene, PWWP domain containing 2A (PWWP2A), that is related to plumage color, for the first time. Using targeted gene modification analysis, we demonstrated the potential genetic effect of the PWWP2A variant on pigment gene expression and melanin production. Finally, our findings offer insight into the intricate pattern of pigmentation and the role of polygenes in birds. Furthermore, these two high-quality genome references provide a comprehensive resource and perspective for comparative functional and genetic studies of evolution within the Cygnus genus.
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Affiliation(s)
- Yuqing Chong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Xiaolong Tu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
| | - Ying Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Zhendong Gao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Xiaoming He
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Jieyun Hong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Jiao Wu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
| | - Dongmei Xi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
| | - Weidong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Y.C.); (Y.L.); (Z.G.); (X.H.); (J.H.); (J.W.); (D.X.)
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Lin MS, Jo SY, Luebeck J, Chang HY, Wu S, Mischel PS, Bafna V. Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.24.537925. [PMID: 37162993 PMCID: PMC10168239 DOI: 10.1101/2023.04.24.537925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Extrachromosomal DNA is a common cause of oncogene amplification in cancer. The non-chromosomal inheritance of ecDNA enables tumors to rapidly evolve, contributing to treatment resistance and poor outcome for patients. The transcriptional context in which ecDNAs arise and progress, including chromosomally-driven transcription, is incompletely understood. We examined gene expression patterns of 870 tumors of varied histological types, to identify transcriptional correlates of ecDNA. Here we show that ecDNA containing tumors impact four major biological processes. Specifically, ecDNA containing tumors upregulate DNA damage and repair, cell cycle control, and mitotic processes, but downregulate global immune regulation pathways. Taken together, these results suggest profound alterations in gene regulation in ecDNA containing tumors, shedding light on molecular processes that give rise to their development and progression.
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Affiliation(s)
- Miin S. Lin
- Bioinformatics and Systems Biology Graduate Program, University of California at San Diego, La Jolla, CA, USA
| | - Se-Young Jo
- Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Sihan Wu
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Paul S. Mischel
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA
- Halıcıoğlu Data Science Institute, University of California at San Diego, La Jolla, CA, USA
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Kinnaman MD, Zaccaria S, Makohon-Moore A, Arnold B, Levine MF, Gundem G, Arango Ossa JE, Glodzik D, Rodríguez-Sánchez MI, Bouvier N, Li S, Stockfisch E, Dunigan M, Cobbs C, Bhanot UK, You D, Mullen K, Melchor JP, Ortiz MV, O'Donohue TJ, Slotkin EK, Wexler LH, Dela Cruz FS, Hameed MR, Glade Bender JL, Tap WD, Meyers PA, Papaemmanuil E, Kung AL, Iacobuzio-Donahue CA. Subclonal Somatic Copy-Number Alterations Emerge and Dominate in Recurrent Osteosarcoma. Cancer Res 2023; 83:3796-3812. [PMID: 37812025 PMCID: PMC10646480 DOI: 10.1158/0008-5472.can-23-0385] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/14/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023]
Abstract
Multiple large-scale genomic profiling efforts have been undertaken in osteosarcoma to define the genomic drivers of tumorigenesis, therapeutic response, and disease recurrence. The spatial and temporal intratumor heterogeneity could also play a role in promoting tumor growth and treatment resistance. We conducted longitudinal whole-genome sequencing of 37 tumor samples from 8 patients with relapsed or refractory osteosarcoma. Each patient had at least one sample from a primary site and a metastatic or relapse site. Subclonal copy-number alterations were identified in all patients except one. In 5 patients, subclones from the primary tumor emerged and dominated at subsequent relapses. MYC gain/amplification was enriched in the treatment-resistant clones in 6 of 7 patients with multiple clones. Amplifications in other potential driver genes, such as CCNE1, RAD21, VEGFA, and IGF1R, were also observed in the resistant copy-number clones. A chromosomal duplication timing analysis revealed that complex genomic rearrangements typically occurred prior to diagnosis, supporting a macroevolutionary model of evolution, where a large number of genomic aberrations are acquired over a short period of time followed by clonal selection, as opposed to ongoing evolution. A mutational signature analysis of recurrent tumors revealed that homologous repair deficiency (HRD)-related SBS3 increases at each time point in patients with recurrent disease, suggesting that HRD continues to be an active mutagenic process after diagnosis. Overall, by examining the clonal relationships between temporally and spatially separated samples from patients with relapsed/refractory osteosarcoma, this study sheds light on the intratumor heterogeneity and potential drivers of treatment resistance in this disease. SIGNIFICANCE The chemoresistant population in recurrent osteosarcoma is subclonal at diagnosis, emerges at the time of primary resection due to selective pressure from neoadjuvant chemotherapy, and is characterized by unique oncogenic amplifications.
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Affiliation(s)
- Michael D. Kinnaman
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Regeneron Pharmaceuticals, Inc., Tarrytown, New York
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, United Kingdom
| | - Alvin Makohon-Moore
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Brian Arnold
- Department of Computer Science, Princeton University, Princeton, New Jersey
- Center for Statistics and Machine Learning, Princeton University, Princeton, New Jersey
| | - Max F. Levine
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gunes Gundem
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Juan E. Arango Ossa
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Dominik Glodzik
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Nancy Bouvier
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Shanita Li
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Emily Stockfisch
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marisa Dunigan
- Integrated Genomics Operation Core, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Cassidy Cobbs
- Integrated Genomics Operation Core, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Umesh K. Bhanot
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Precision Pathology Biobanking Center, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daoqi You
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Katelyn Mullen
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, New York
| | - Jerry P. Melchor
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael V. Ortiz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Tara J. O'Donohue
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Emily K. Slotkin
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Leonard H. Wexler
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Filemon S. Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Meera R. Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Julia L. Glade Bender
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - William D. Tap
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul A. Meyers
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elli Papaemmanuil
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew L. Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christine A. Iacobuzio-Donahue
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
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29
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Shen Y, Yu L, Qiu Y, Zhang T, Kingsford C. Improving Hi-C contact matrices using genome graphs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.08.566275. [PMID: 37986943 PMCID: PMC10659349 DOI: 10.1101/2023.11.08.566275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Three-dimensional chromosome structure plays an important role in fundamental genomic functions. Hi-C, a high-throughput, sequencing-based technique, has drastically expanded our comprehension of 3D chromosome structures. The first step of Hi-C analysis pipeline involves mapping sequencing reads from Hi-C to linear reference genomes. However, the linear reference genome does not incorporate genetic variation information, which can lead to incorrect read alignments, especially when analyzing samples with substantial genomic differences from the reference such as cancer samples. Using genome graphs as the reference facilitates more accurate mapping of reads, however, new algorithms are required for inferring linear genomes from Hi-C reads mapped on genome graphs and constructing corresponding Hi-C contact matrices, which is a prerequisite for the subsequent steps of the Hi-C analysis such as identifying topologically associated domains and calling chromatin loops. We introduce the problem of genome sequence inference from Hi-C data mediated by genome graphs. We formalize this problem, show the hardness of solving this problem, and introduce a novel heuristic algorithm specifically tailored to this problem. We provide a theoretical analysis to evaluate the efficacy of our algorithm. Finally, our empirical experiments indicate that the linear genomes inferred from our method lead to the creation of improved Hi-C contact matrices. These enhanced matrices show a reduction in erroneous patterns caused by structural variations and are more effective in accurately capturing the structures of topologically associated domains.
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Affiliation(s)
- Yihang Shen
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
| | - Lingge Yu
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
| | - Yutong Qiu
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
| | - Tianyu Zhang
- Department of Statistics and Data Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
| | - Carl Kingsford
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
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Erdmann-Pham DD, Batra SS, Turkalo TK, Durbin J, Blanchette M, Yeh I, Shain H, Bastian BC, Song YS, Rokhsar DS, Hockemeyer D. Tracing cancer evolution and heterogeneity using Hi-C. Nat Commun 2023; 14:7111. [PMID: 37932252 PMCID: PMC10628133 DOI: 10.1038/s41467-023-42651-2] [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: 10/29/2022] [Accepted: 10/09/2023] [Indexed: 11/08/2023] Open
Abstract
Chromosomal rearrangements can initiate and drive cancer progression, yet it has been challenging to evaluate their impact, especially in genetically heterogeneous solid cancers. To address this problem we developed HiDENSEC, a new computational framework for analyzing chromatin conformation capture in heterogeneous samples that can infer somatic copy number alterations, characterize large-scale chromosomal rearrangements, and estimate cancer cell fractions. After validating HiDENSEC with in silico and in vitro controls, we used it to characterize chromosome-scale evolution during melanoma progression in formalin-fixed tumor samples from three patients. The resulting comprehensive annotation of the genomic events includes copy number neutral translocations that disrupt tumor suppressor genes such as NF1, whole chromosome arm exchanges that result in loss of CDKN2A, and whole-arm copy-number neutral loss of homozygosity involving PTEN. These findings show that large-scale chromosomal rearrangements occur throughout cancer evolution and that characterizing these events yields insights into drivers of melanoma progression.
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Affiliation(s)
- Dan Daniel Erdmann-Pham
- Department of Mathematics, University of California, Berkeley, CA, 94720, USA
- Department of Statistics, Stanford University, Stanford, CA, 94305, USA
| | - Sanjit Singh Batra
- Computer Science Division, University of California, Berkeley, CA, 94720, USA
| | - Timothy K Turkalo
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
| | - James Durbin
- Dovetail Genomics, Enterprise Way, Scotts Valley, CA, 95066, USA
| | - Marco Blanchette
- Dovetail Genomics, Enterprise Way, Scotts Valley, CA, 95066, USA
| | - Iwei Yeh
- Department of Dermatology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California, San Francisco, CA, 94143, USA
| | - Hunter Shain
- Department of Dermatology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Boris C Bastian
- Department of Dermatology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California, San Francisco, CA, 94143, USA
| | - Yun S Song
- Computer Science Division, University of California, Berkeley, CA, 94720, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
- Department of Statistics, University of California, Berkeley, CA, 94720, USA.
| | - Daniel S Rokhsar
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
- Innovative Genomics Institute, University of California, Berkeley, CA, 94720, USA.
- Okinawa Institute for Science and Technology, Tancha, Okinawa, Japan.
| | - Dirk Hockemeyer
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
- Innovative Genomics Institute, University of California, Berkeley, CA, 94720, USA.
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31
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Guo M, Songyang Z, Xiong Y. ChArmTelo Enables Large-Scale Chromosome Arm-Level Telomere Analysis across Human Populations and in Cancer Patients. SMALL METHODS 2023; 7:e2300385. [PMID: 37526331 DOI: 10.1002/smtd.202300385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/29/2023] [Indexed: 08/02/2023]
Abstract
Telomeres are structures protecting chromosome ends. However, a scalable and cost-effective method to investigate chromosome arm-level (ChArm) telomeres (Telos) in large-scale projects is still lacking, hindering intensive investigation of high-resolution telomeres across cancers and other diseases. Here, ChArmTelo, the first computational toolbox to analyze telomeres at chromosome arm level in human and other animal species, using 10X linked-read and similar technologies, is presented. ChArmTelo currently consists of two algorithms, TeloEM and TeloKnow, for arm-level telomere length (TL) analysis. The algorithms are demonstrated by comprehensive analysis of chromosome arm-level telomere lengths (chArmTLs) in nearly 400 whole genome sequencing samples (WGS) from human populations and animals, including healthy and cancer samples. Notably, considerable performance improvement contributed by using the latest complete telomere-to-telomere reference genome (CHM13v2), compared to hg38, is shown. ChArmTelo reveals population-specific chArmTL differences and liver cancer signatures of chArmTLs and that DNA replication origin disruption may contribute to cancer by affecting TLs. Importantly, ChArmTelo can be readily applied to tens of thousands of cancer and healthy samples with published WGS data.
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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
| | - 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
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32
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Becchi T, Beltrame L, Mannarino L, Calura E, Marchini S, Romualdi C. A pan-cancer landscape of pathogenic somatic copy number variations. J Biomed Inform 2023; 147:104529. [PMID: 37858853 DOI: 10.1016/j.jbi.2023.104529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/13/2023] [Accepted: 10/16/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVE Copy number variations (CNVs) play crucial roles in physiological and pathological processes, including cancer. However, the functional implications of somatic CNVs in tumor progression and evolution remain unclear. This study focuses on identifying CNV alterations with high pathogenic potential that drive and sustain tumorigenesis, distinguishing them from passenger alterations that accumulate during tumor growth. Our goal is to explore the variability of CNVs across different tumor types and infer their impact on tumor cell functions. METHODS Starting from 7352 copy number profiles across 33 different cancer types, we infer the pathogenicity of each CNV and perform both intra- and inter-tumor analyses to predict the functional impact of different genomic patterns. We evaluate the actionability of genes belonging to altered regions and we correlate the presence of pathogenic regions with genome instability patterns and patients' survival. RESULTS Our analysis uncovered large heterogeneity among different tumors suggesting in many cases distinct genetic drivers of tumorigenesis. Recurrent genomic alterations frequently coincide with dysfunctional homologous recombination pathways and negative regulation of the immune system. In certain tumors, the number of pathogenic CNVs emerged as a prognostic biomarker, highlighting their significance in cancer progression. CONCLUSION This study contributes to elucidate the functional impact of pathogenic CNVs in tumor progression and sheds light on their potential as prognostic markers in specific cancer types.
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Affiliation(s)
- Tommaso Becchi
- Department of Biology, University of Padova, 35131 Padova, Italy
| | - Luca Beltrame
- Laboratory of Cancer Pharmacology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano - Milan, Italy
| | - Laura Mannarino
- Laboratory of Cancer Pharmacology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano - Milan, Italy; Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072 Pieve Emanuele - Milan, Italy
| | - Enrica Calura
- Department of Biology, University of Padova, 35131 Padova, Italy
| | - Sergio Marchini
- Laboratory of Cancer Pharmacology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano - Milan, Italy
| | - Chiara Romualdi
- Department of Biology, University of Padova, 35131 Padova, Italy.
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Maura F, Adams RM, Aoki T. Scientific techniques in adolescent and young adult classic Hodgkin lymphoma. EJHAEM 2023; 4:902-907. [PMID: 38024640 PMCID: PMC10660113 DOI: 10.1002/jha2.786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 12/01/2023]
Abstract
Understanding the tumor microenvironment and genomic landscape is crucial for better prediction of treatment outcomes and developing novel therapies in Hodgkin lymphoma (HL). Recent advancements in genomics have enabled researchers to gain deeper insights into the genomic characteristics of HL at both single-cell resolution and the whole genome level. The use of noninvasive methods such as liquid biopsies and formalin-fixed paraffin-embedded-based imaging techniques has expanded the possibilities of applying cutting-edge analyses to routine clinically available samples. Collaborative efforts between adult and pediatric group are imperative to translate novel findings into routine patient care.
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Affiliation(s)
- Francesco Maura
- Sylvester Comprehensive Cancer CenterUniversity of MiamiMiamiFloridaUSA
| | - Ragini M. Adams
- Division of Pediatric Hematology, OncologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Tomohiro Aoki
- Princess Margaret Cancer CentreUniversity Health NetworkTorontoOntarioCanada
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Wang M, Fukushima S, Sheen YS, Ramelyte E, Pacheco NC, Shi C, Liu S, Banik I, Aquino JD, Acosta MS, Levesque M, Dummer R, Liau JY, Chu CY, Shain AH, Yeh I, Bastian BC. The genetic evolution of acral melanoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.18.562802. [PMID: 37904969 PMCID: PMC10614839 DOI: 10.1101/2023.10.18.562802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Acral melanoma is an aggressive type of melanoma with unknown origins, arising on the sole, palm, or nail apparatus. It is the most common type of melanoma in individuals with dark skin and is notoriously challenging to treat. Our study examined exome sequencing data from 139 tissue samples, spanning different progression stages, collected from 37 patients. We found that 78.4% of the melanomas displayed one or more clustered copy number transitions with focal amplifications, recurring predominantly on chromosomes 5, 11, 12, and 22. These genomic "hailstorms" were typically shared across all progression stages within individual patients. Genetic alterations known to activate TERT also arose early. By contrast, mutations in the MAP-kinase pathway appeared later during progression, often leading to different tumor areas harboring non-overlapping driver mutations. We conclude that the evolutionary trajectories of acral melanomas substantially diverge from those of melanomas on sun-exposed skin, where MAP-kinase pathway activation initiates the neoplastic cascade followed by immortalization later. The punctuated formation of hailstorms, paired with early TERT activation, suggests a unique mutational mechanism underlying the origins of acral melanoma. Our findings highlight an essential role for telomerase, likely in re-stabilizing tumor genomes after hailstorms have initiated the tumors. The marked genetic heterogeneity, in particular of MAP-kinase pathway drivers, may partly explain the limited success of targeted and other therapies in treating this melanoma subtype.
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Affiliation(s)
- Meng Wang
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Satoshi Fukushima
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yi-Shuan Sheen
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Egle Ramelyte
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Noel Cruz Pacheco
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Chenxu Shi
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Shanshan Liu
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Ishani Banik
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Jamie D. Aquino
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | | | - Mitchell Levesque
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Reinhard Dummer
- Department of Dermatology, University of Zurich, Zurich, Switzerland
| | - Jau-Yu Liau
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chia-Yu Chu
- Department of Dermatology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - A. Hunter Shain
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- These authors jointly supervised this project
| | - Iwei Yeh
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
- These authors jointly supervised this project
| | - Boris C. Bastian
- Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
- These authors jointly supervised this project
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Rodriguez-Fos E, Planas-Fèlix M, Burkert M, Puiggròs M, Toedling J, Thiessen N, Blanc E, Szymansky A, Hertwig F, Ishaque N, Beule D, Torrents D, Eggert A, Koche RP, Schwarz RF, Haase K, Schulte JH, Henssen AG. Mutational topography reflects clinical neuroblastoma heterogeneity. CELL GENOMICS 2023; 3:100402. [PMID: 37868040 PMCID: PMC10589636 DOI: 10.1016/j.xgen.2023.100402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/13/2023] [Accepted: 08/11/2023] [Indexed: 10/24/2023]
Abstract
Neuroblastoma is a pediatric solid tumor characterized by strong clinical heterogeneity. Although clinical risk-defining genomic alterations exist in neuroblastomas, the mutational processes involved in their generation remain largely unclear. By examining the topography and mutational signatures derived from all variant classes, we identified co-occurring mutational footprints, which we termed mutational scenarios. We demonstrate that clinical neuroblastoma heterogeneity is associated with differences in the mutational processes driving these scenarios, linking risk-defining pathognomonic variants to distinct molecular processes. Whereas high-risk MYCN-amplified neuroblastomas were characterized by signs of replication slippage and stress, homologous recombination-associated signatures defined high-risk non-MYCN-amplified patients. Non-high-risk neuroblastomas were marked by footprints of chromosome mis-segregation and TOP1 mutational activity. Furthermore, analysis of subclonal mutations uncovered differential activity of these processes through neuroblastoma evolution. Thus, clinical heterogeneity of neuroblastoma patients can be linked to differences in the mutational processes that are active in their tumors.
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Affiliation(s)
- Elias Rodriguez-Fos
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Mercè Planas-Fèlix
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin Burkert
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Montserrat Puiggròs
- Barcelona Supercomputing Center, Joint Barcelona Supercomputing Center – Center for Genomic Regulation – Institute for Research in Biomedicine Research Program in Computational Biology, Barcelona, Spain
| | - Joern Toedling
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Nina Thiessen
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany
| | - Eric Blanc
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany
| | - Annabell Szymansky
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Falk Hertwig
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Naveed Ishaque
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany
| | - Dieter Beule
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany
| | - David Torrents
- Barcelona Supercomputing Center, Joint Barcelona Supercomputing Center – Center for Genomic Regulation – Institute for Research in Biomedicine Research Program in Computational Biology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Angelika Eggert
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Richard P. Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roland F. Schwarz
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
| | - Kerstin Haase
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Johannes H. Schulte
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Anton G. Henssen
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
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Ashouri A, Zhang C, Gaiti F. Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights. Genes (Basel) 2023; 14:1856. [PMID: 37895205 PMCID: PMC10606072 DOI: 10.3390/genes14101856] [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: 09/01/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution.
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Affiliation(s)
- Arghavan Ashouri
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Chufan Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Federico Gaiti
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
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37
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Khani F, Hooper WF, Wang X, Chu TR, Shah M, Winterkorn L, Sigouros M, Conteduca V, Pisapia D, Wobker S, Walker S, Graff JN, Robinson B, Mosquera JM, Sboner A, Elemento O, Robine N, Beltran H. Evolution of structural rearrangements in prostate cancer intracranial metastases. NPJ Precis Oncol 2023; 7:91. [PMID: 37704749 PMCID: PMC10499931 DOI: 10.1038/s41698-023-00435-3] [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: 02/06/2023] [Accepted: 08/08/2023] [Indexed: 09/15/2023] Open
Abstract
Intracranial metastases in prostate cancer are uncommon but clinically aggressive. A detailed molecular characterization of prostate cancer intracranial metastases would improve our understanding of their pathogenesis and the search for new treatment strategies. We evaluated the clinical and molecular characteristics of 36 patients with metastatic prostate cancer to either the dura or brain parenchyma. We performed whole genome sequencing (WGS) of 10 intracranial prostate cancer metastases, as well as WGS of primary prostate tumors from men who later developed metastatic disease (n = 6) and nonbrain prostate cancer metastases (n = 36). This first whole genome sequencing study of prostate intracranial metastases led to several new insights. First, there was a higher diversity of complex structural alterations in prostate cancer intracranial metastases compared to primary tumor tissues. Chromothripsis and chromoplexy events seemed to dominate, yet there were few enrichments of specific categories of structural variants compared with non-brain metastases. Second, aberrations involving the AR gene, including AR enhancer gain were observed in 7/10 (70%) of intracranial metastases, as well as recurrent loss of function aberrations involving TP53 in 8/10 (80%), RB1 in 2/10 (20%), BRCA2 in 2/10 (20%), and activation of the PI3K/AKT/PTEN pathway in 8/10 (80%). These alterations were frequently present in tumor tissues from other sites of disease obtained concurrently or sequentially from the same individuals. Third, clonality analysis points to genomic factors and evolutionary bottlenecks that contribute to metastatic spread in patients with prostate cancer. These results describe the aggressive molecular features underlying intracranial metastasis that may inform future diagnostic and treatment approaches.
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Affiliation(s)
- Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Xiaofei Wang
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Michael Sigouros
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Vincenza Conteduca
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medical and Surgical Sciences, Unit of Medical Oncology and Biomolecular Therapy, University of Foggia, Policlinico Riuniti, Foggia, Italy
| | - David Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sara Wobker
- Department of Pathology and Laboratory Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Sydney Walker
- Department of Medical Oncology, Oregon Health Sciences University, Portland, OR, USA
| | - Julie N Graff
- Department of Medical Oncology, Oregon Health Sciences University, Portland, OR, USA
| | - Brian Robinson
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Juan Miguel Mosquera
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andrea Sboner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Himisha Beltran
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
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Setton J, Hadi K, Choo ZN, Kuchin KS, Tian H, Da Cruz Paula A, Rosiene J, Selenica P, Behr J, Yao X, Deshpande A, Sigouros M, Manohar J, Nauseef JT, Mosquera JM, Elemento O, Weigelt B, Riaz N, Reis-Filho JS, Powell SN, Imieliński M. Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers. Nature 2023; 621:129-137. [PMID: 37587346 PMCID: PMC10482687 DOI: 10.1038/s41586-023-06461-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 07/20/2023] [Indexed: 08/18/2023]
Abstract
Homologous recombination (HR) deficiency is associated with DNA rearrangements and cytogenetic aberrations1. Paradoxically, the types of DNA rearrangements that are specifically associated with HR-deficient cancers only minimally affect chromosomal structure2. Here, to address this apparent contradiction, we combined genome-graph analysis of short-read whole-genome sequencing (WGS) profiles across thousands of tumours with deep linked-read WGS of 46 BRCA1- or BRCA2-mutant breast cancers. These data revealed a distinct class of HR-deficiency-enriched rearrangements called reciprocal pairs. Linked-read WGS showed that reciprocal pairs with identical rearrangement orientations gave rise to one of two distinct chromosomal outcomes, distinguishable only with long-molecule data. Whereas one (cis) outcome corresponded to the copying and pasting of a small segment to a distant site, a second (trans) outcome was a quasi-balanced translocation or multi-megabase inversion with substantial (10 kb) duplications at each junction. We propose an HR-independent replication-restart repair mechanism to explain the full spectrum of reciprocal pair outcomes. Linked-read WGS also identified single-strand annealing as a repair pathway that is specific to BRCA2 deficiency in human cancers. Integrating these features in a classifier improved discrimination between BRCA1- and BRCA2-deficient genomes. In conclusion, our data reveal classes of rearrangements that are specific to BRCA1 or BRCA2 deficiency as a source of cytogenetic aberrations in HR-deficient cells.
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Affiliation(s)
- Jeremy Setton
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevin Hadi
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Physiology and Biophysics PhD program, Weill Cornell Medicine, New York, NY, USA
| | - Zi-Ning Choo
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Physiology and Biophysics PhD program, Weill Cornell Medicine, New York, NY, USA
| | - Katherine S Kuchin
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Huasong Tian
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joel Rosiene
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julie Behr
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Xiaotong Yao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Aditya Deshpande
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Michael Sigouros
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jyothi Manohar
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jones T Nauseef
- New York Genome Center, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Juan-Miguel Mosquera
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon N Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Marcin Imieliński
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- New York Genome Center, New York, NY, USA.
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- Department of Pathology and Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
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Li J, Xiao Z, Wang D, Jia L, Nie S, Zeng X, Hu W. The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells. Mol Cancer 2023; 22:141. [PMID: 37649123 PMCID: PMC10466891 DOI: 10.1186/s12943-023-01844-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023] Open
Abstract
Recent advances in neoantigen research have accelerated the development of tumor immunotherapies, including adoptive cell therapies (ACTs), cancer vaccines and antibody-based therapies, particularly for solid tumors. With the development of next-generation sequencing and bioinformatics technology, the rapid identification and prediction of tumor-specific antigens (TSAs) has become possible. Compared with tumor-associated antigens (TAAs), highly immunogenic TSAs provide new targets for personalized tumor immunotherapy and can be used as prospective indicators for predicting tumor patient survival, prognosis, and immune checkpoint blockade response. Here, the identification and characterization of neoantigens and the clinical application of neoantigen-based TCR-T immunotherapy strategies are summarized, and the current status, inherent challenges, and clinical translational potential of these strategies are discussed.
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Affiliation(s)
- Jiangping Li
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
| | - Zhiwen Xiao
- Department of Otolaryngology Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, People's Republic of China
| | - Donghui Wang
- Department of Radiation Oncology, The Third Affiliated Hospital Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China
| | - Lei Jia
- International Health Medicine Innovation Center, Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Shihong Nie
- Department of Radiation Oncology, West China Hospital, Sichuan University, Cancer Center, Chengdu, 610041, People's Republic of China
| | - Xingda Zeng
- Department of Parasitology of Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wei Hu
- Division of Vascular Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China
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40
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Srivatsa A, Lei H, Schwartz R. A Clonal Evolution Simulator for Planning Somatic Evolution Studies. J Comput Biol 2023; 30:831-847. [PMID: 37184853 PMCID: PMC10457648 DOI: 10.1089/cmb.2023.0086] [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] [Indexed: 05/16/2023] Open
Abstract
Somatic evolution plays a key role in development, cell differentiation, and normal aging, but also in diseases such as cancer. Understanding mechanisms of somatic mutability and how they can vary between cell lineages will likely play a crucial role in biological discovery and medical applications. This need has led to a proliferation of new technologies for profiling single-cell variation, each with distinctive capabilities and limitations that can be leveraged alone or in combination with other technologies. The enormous space of options for assaying somatic variation, however, presents unsolved informatics problems with regard to selecting optimal combinations of technologies for designing appropriate studies for any particular scientific questions. Versatile simulation tools are needed to explore and optimize potential study designs if researchers are to deploy multiomic technologies most effectively. In this study, we present a simulator allowing for the generation of synthetic data from a wide range of clonal lineages, variant classes, and sequencing technology choices, intended to provide a platform for effective study design in somatic lineage analysis. Users can input various properties of the somatic evolutionary system, mutation classes, and biotechnology options, and then generate samples of synthetic sequence reads and their corresponding ground truth parameters for a given study design. We demonstrate the utility of the simulator for testing and optimizing study designs for various experimental queries.
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Affiliation(s)
- Arjun Srivatsa
- Department of Computational Biology, and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Haoyun Lei
- Department of Computational Biology, and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Russell Schwartz
- Department of Computational Biology, and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
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41
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Fan Y, Zou L, Zhong X, Wang Z, Wang Y, Luo C, Zheng H, Wang Y. Characteristics of DNA macro-alterations in breast cancer with liver metastasis before treatment. BMC Genomics 2023; 24:391. [PMID: 37434117 DOI: 10.1186/s12864-023-09497-w] [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: 06/20/2022] [Accepted: 06/30/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND Whole-genome doubling (WGD) has been observed in 30% of cancers, followed by a highly complex rearranged karyotype unfavourable to breast cancer's outcome. However, the macro-alterations that characterise liver metastasis in breast cancer(BC) are poorly understood. Here, we conducted a whole-genome sequencing analysis of liver metastases to explore the status and the time frame model of these macro-alterations in pre-treatment patients with metastatic breast cancer. RESULTS Whole-genome sequencing was conducted in 11 paired primary tumours, lymph node metastasis, and liver metastasis fresh samples from four patients with late-stage breast cancer. We also chose five postoperative frozen specimens from patients with early-stage breast cancer before any treatment as control. Surprisingly, all four liver metastasis samples were classified as WGD + . However, the previous study reported that WGD happened in 30% of cancers and 2/5 in our early-stage samples. WGD was not observed in the two separate primary tumours and one lymph node metastasis of one patient with metastatic BC, but her liver metastasis showed an early burst of bi-allelic copy number gain. The phylogenetic tree proves her 4 tumour samples were the polyclonal origin and only one WGD + clone metastasis to the liver. Another 3 metastatic BC patients' primary tumour and lymph node metastasis experienced WGD as well as liver metastasis, and they all showed similar molecular time-frame of copy number(CN) gain across locations within the same patient. These patients' tumours were of monoclonal origin, and WGD happened in a founding clone before metastasis, explaining that all samples share the CN-gain time frame. After WGD, the genomes usually face instability to evolve other macro-alterations. For example, a greater quantity and variety of complex structural variations (SVs) were detected in WGD + samples. The breakpoints were enriched in the chr17: 39 Mb-40 Mb tile, which contained the HER2 gene, resulting in the formation of tyfonas, breakage-fusion-bridge cycles, and double minutes. These complex SVs may be involved in the evolutionary mechanisms of the dramatic increase of HER2 copy number. CONCLUSION Our work revealed that the WGD + clone might be a critical evolution step for liver metastasis and favoured following complex SV of breast cancer.
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Affiliation(s)
- Yu Fan
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Linglin Zou
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Xiaorong Zhong
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Zhu Wang
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Yu Wang
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Chuanxu Luo
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China
| | - Hong Zheng
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China.
| | - Yanping Wang
- Breast Center and Multi-Omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, 5 Gongxing Street, Wuhou District, Chengdu, 610041, China.
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42
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Choo ZN, Imieliński M. Faster detection of somatic structural variants. Nat Biomed Eng 2023; 7:847-848. [PMID: 37217613 DOI: 10.1038/s41551-023-01039-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Affiliation(s)
- Zi-Ning Choo
- Tri-Institutional MD-PhD Program, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Marcin Imieliński
- New York Genome Center, New York, NY, USA.
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
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43
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Saito-Adachi M, Hama N, Totoki Y, Nakamura H, Arai Y, Hosoda F, Rokutan H, Yachida S, Kato M, Fukagawa A, Shibata T. Oncogenic structural aberration landscape in gastric cancer genomes. Nat Commun 2023; 14:3688. [PMID: 37349325 PMCID: PMC10287692 DOI: 10.1038/s41467-023-39263-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/05/2023] [Indexed: 06/24/2023] Open
Abstract
Structural variants (SVs) are responsible for driver events in gastric cancer (GC); however, their patterns and processes remain poorly understood. Here, we examine 170 GC whole genomes to unravel the oncogenic structural aberration landscape in GC genomes and identify six rearrangement signatures (RSs). Non-random combinations of RSs elucidate distinctive GC subtypes comprising one or a few dominant RS that are associated with specific driver events (BRCA1/2 defects, mismatch repair deficiency, and TP53 mutation) and epidemiological backgrounds. Twenty-seven SV hotspots are identified as GC driver candidates. SV hotspots frequently constitute complexly clustered SVs involved in driver gene amplification, such as ERBB2, CCNE1, and FGFR2. Further deconstruction of the locally clustered SVs uncovers amplicon-generating profiles characterized by super-large SVs and intensive segmental amplifications, contributing to the extensive amplification of GC oncogenes. Comprehensive analyses using adjusted SV allele frequencies indicate the significant involvement of extra-chromosomal DNA in processes linked to specific RSs.
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Affiliation(s)
- Mihoko Saito-Adachi
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Natsuko Hama
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasuhito Arai
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Fumie Hosoda
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hirofumi Rokutan
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinichi Yachida
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Mamoru Kato
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan
| | - Akihiko Fukagawa
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
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44
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Lee JJK, Jung YL, Cheong TC, Espejo Valle-Inclan J, Chu C, Gulhan DC, Ljungström V, Jin H, Viswanadham VV, Watson EV, Cortés-Ciriano I, Elledge SJ, Chiarle R, Pellman D, Park PJ. ERα-associated translocations underlie oncogene amplifications in breast cancer. Nature 2023; 618:1024-1032. [PMID: 37198482 PMCID: PMC10307628 DOI: 10.1038/s41586-023-06057-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 04/05/2023] [Indexed: 05/19/2023]
Abstract
Focal copy-number amplification is an oncogenic event. Although recent studies have revealed the complex structure1-3 and the evolutionary trajectories4 of oncogene amplicons, their origin remains poorly understood. Here we show that focal amplifications in breast cancer frequently derive from a mechanism-which we term translocation-bridge amplification-involving inter-chromosomal translocations that lead to dicentric chromosome bridge formation and breakage. In 780 breast cancer genomes, we observe that focal amplifications are frequently connected to each other by inter-chromosomal translocations at their boundaries. Subsequent analysis indicates the following model: the oncogene neighbourhood is translocated in G1 creating a dicentric chromosome, the dicentric chromosome is replicated, and as dicentric sister chromosomes segregate during mitosis, a chromosome bridge is formed and then broken, with fragments often being circularized in extrachromosomal DNAs. This model explains the amplifications of key oncogenes, including ERBB2 and CCND1. Recurrent amplification boundaries and rearrangement hotspots correlate with oestrogen receptor binding in breast cancer cells. Experimentally, oestrogen treatment induces DNA double-strand breaks in the oestrogen receptor target regions that are repaired by translocations, suggesting a role of oestrogen in generating the initial translocations. A pan-cancer analysis reveals tissue-specific biases in mechanisms initiating focal amplifications, with the breakage-fusion-bridge cycle prevalent in some and the translocation-bridge amplification in others, probably owing to the different timing of DNA break repair. Our results identify a common mode of oncogene amplification and propose oestrogen as its mechanistic origin in breast cancer.
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Affiliation(s)
- Jake June-Koo Lee
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Youngsook Lucy Jung
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Taek-Chin Cheong
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Chong Chu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Viktor Ljungström
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Emma V Watson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Isidro Cortés-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Stephen J Elledge
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Roberto Chiarle
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - David Pellman
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
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45
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Karlsson K, Przybilla MJ, Kotler E, Khan A, Xu H, Karagyozova K, Sockell A, Wong WH, Liu K, Mah A, Lo YH, Lu B, Houlahan KE, Ma Z, Suarez CJ, Barnes CP, Kuo CJ, Curtis C. Deterministic evolution and stringent selection during preneoplasia. Nature 2023; 618:383-393. [PMID: 37258665 PMCID: PMC10247377 DOI: 10.1038/s41586-023-06102-8] [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: 09/01/2022] [Accepted: 04/19/2023] [Indexed: 06/02/2023]
Abstract
The earliest events during human tumour initiation, although poorly characterized, may hold clues to malignancy detection and prevention1. Here we model occult preneoplasia by biallelic inactivation of TP53, a common early event in gastric cancer, in human gastric organoids. Causal relationships between this initiating genetic lesion and resulting phenotypes were established using experimental evolution in multiple clonally derived cultures over 2 years. TP53 loss elicited progressive aneuploidy, including copy number alterations and structural variants prevalent in gastric cancers, with evident preferred orders. Longitudinal single-cell sequencing of TP53-deficient gastric organoids similarly indicates progression towards malignant transcriptional programmes. Moreover, high-throughput lineage tracing with expressed cellular barcodes demonstrates reproducible dynamics whereby initially rare subclones with shared transcriptional programmes repeatedly attain clonal dominance. This powerful platform for experimental evolution exposes stringent selection, clonal interference and a marked degree of phenotypic convergence in premalignant epithelial organoids. These data imply predictability in the earliest stages of tumorigenesis and show evolutionary constraints and barriers to malignant transformation, with implications for earlier detection and interception of aggressive, genome-instable tumours.
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Affiliation(s)
- Kasper Karlsson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Science for Life Laboratory and Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Moritz J Przybilla
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Wellcome Sanger Institute & University of Cambridge, Hinxton, UK
| | - Eran Kotler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Aziz Khan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Hang Xu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Kremena Karagyozova
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandra Sockell
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Wing H Wong
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Katherine Liu
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Amanda Mah
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuan-Hung Lo
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Bingxin Lu
- Department of Cell and Developmental Biology, University College London, London, UK
| | - Kathleen E Houlahan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Zhicheng Ma
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Carlos J Suarez
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Chris P Barnes
- Department of Cell and Developmental Biology, University College London, London, UK
| | - Calvin J Kuo
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina Curtis
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
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46
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Yang M, Zhang S, Jiang R, Chen S, Huang M. Circlehunter: a tool to identify extrachromosomal circular DNA from ATAC-Seq data. Oncogenesis 2023; 12:28. [PMID: 37217468 DOI: 10.1038/s41389-023-00476-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/24/2023] Open
Abstract
In cancer, extrachromosomal circular DNA (ecDNA), or megabase-pair amplified circular DNA, plays an essential role in intercellular heterogeneity and tumor cell revolution because of its non-Mendelian inheritance. We developed circlehunter ( https://github.com/suda-huanglab/circlehunter ), a tool for identifying ecDNA from ATAC-Seq data using the enhanced chromatin accessibility of ecDNA. Using simulated data, we showed that circlehunter has an F1 score of 0.93 at 30× local depth and read lengths as short as 35 bp. Based on 1312 ecDNAs predicted from 94 publicly available datasets of ATAC-Seq assays, we found 37 oncogenes contained in these ecDNAs with amplification characteristics. In small cell lung cancer cell lines, ecDNA containing MYC leads to amplification of MYC and cis-regulates the expression of NEUROD1, resulting in an expression pattern consistent with the NEUROD1 high expression subtype and sensitive to Aurora kinase inhibitors. This showcases that circlehunter could serve as a valuable pipeline for the investigation of tumorigenesis.
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Affiliation(s)
- Manqiu Yang
- School of Biology and Basic Medical Sciences, Soochow University, 215123, Suzhou, China
| | - Shufan Zhang
- School of Biology and Basic Medical Sciences, Soochow University, 215123, Suzhou, China
| | - Rong Jiang
- School of Biology and Basic Medical Sciences, Soochow University, 215123, Suzhou, China
| | - Shaomu Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 215006, Suzhou, China.
| | - Moli Huang
- School of Biology and Basic Medical Sciences, Soochow University, 215123, Suzhou, China.
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47
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Diamond B, Ziccheddu B, Maclachlan K, Taylor J, Boyle E, Ossa JA, Jahn J, Affer M, Totiger TM, Coffey D, Chandhok N, Watts J, Cimmino L, Lu SX, Bolli N, Bolton K, Landau H, Park JH, Ganesh K, McPherson A, Sekeres MA, Lesokhin A, Chung DJ, Zhang Y, Ho C, Roshal M, Tyner J, Nimer S, Papaemmanuil E, Usmani S, Morgan G, Landgren O, Maura F. Tracking the evolution of therapy-related myeloid neoplasms using chemotherapy signatures. Blood 2023; 141:2359-2371. [PMID: 36626250 PMCID: PMC10273163 DOI: 10.1182/blood.2022018244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/22/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Patients treated with cytotoxic therapies, including autologous stem cell transplantation, are at risk for developing therapy-related myeloid neoplasms (tMN). Preleukemic clones (ie, clonal hematopoiesis [CH]) are detectable years before the development of these aggressive malignancies, although the genomic events leading to transformation and expansion are not well defined. Here, by leveraging distinctive chemotherapy-associated mutational signatures from whole-genome sequencing data and targeted sequencing of prechemotherapy samples, we reconstructed the evolutionary life-history of 39 therapy-related myeloid malignancies. A dichotomy was revealed, in which neoplasms with evidence of chemotherapy-induced mutagenesis from platinum and melphalan were hypermutated and enriched for complex structural variants (ie, chromothripsis), whereas neoplasms with nonmutagenic chemotherapy exposures were genomically similar to de novo acute myeloid leukemia. Using chemotherapy-associated mutational signatures as temporal barcodes linked to discrete clinical exposure in each patient's life, we estimated that several complex events and genomic drivers were acquired after chemotherapy was administered. For patients with prior multiple myeloma who were treated with high-dose melphalan and autologous stem cell transplantation, we demonstrate that tMN can develop from either a reinfused CH clone that escapes melphalan exposure and is selected after reinfusion, or from TP53-mutant CH that survives direct myeloablative conditioning and acquires melphalan-induced DNA damage. Overall, we revealed a novel mode of tMN progression that is not reliant on direct mutagenesis or even exposure to chemotherapy. Conversely, for tMN that evolve under the influence of chemotherapy-induced mutagenesis, distinct chemotherapies not only select preexisting CH but also promote the acquisition of recurrent genomic drivers.
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Affiliation(s)
- Benjamin Diamond
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | | | - Kylee Maclachlan
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Eileen Boyle
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Juan Arango Ossa
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jacob Jahn
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Maurizio Affer
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | | | - David Coffey
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Namrata Chandhok
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Justin Watts
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Luisa Cimmino
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Sydney X. Lu
- Division of Hematology, Stanford Hospital and Clinics, Stanford University, Stanford, CA
| | - Niccolò Bolli
- Department of Oncology and Onco-Hematology, Università degli Studi di Milano, Milan, Italy
- Hematology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Kelly Bolton
- Division of Oncology, Washington University School of Medicine, St. Louis, MO
| | - Heather Landau
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jae H. Park
- Department of Medicine, Memorial Hospital, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Karuna Ganesh
- Department of Medicine, Memorial Hospital, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew McPherson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Alexander Lesokhin
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David J. Chung
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yanming Zhang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jeffrey Tyner
- Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR
| | - Stephen Nimer
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Elli Papaemmanuil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Saad Usmani
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gareth Morgan
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Ola Landgren
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Francesco Maura
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
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48
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Zhou S, Wu Y, Zhao Y, Zhang Z, Jiang L, Liu L, Zhang Y, Tang J, Yuan YJ. Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization. Natl Sci Rev 2023; 10:nwad073. [PMID: 37223244 PMCID: PMC10202648 DOI: 10.1093/nsr/nwad073] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/07/2022] [Accepted: 02/02/2023] [Indexed: 11/12/2023] Open
Abstract
Synthetic genome evolution provides a dynamic approach for systematically and straightforwardly exploring evolutionary processes. Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) is an evolutionary system intrinsic to the synthetic yeast genome that can rapidly drive structural variations. Here, we detect over 260 000 rearrangement events after the SCRaMbLEing of a yeast strain harboring 5.5 synthetic yeast chromosomes (synII, synIII, synV, circular synVI, synIXR and synX). Remarkably, we find that the rearrangement events exhibit a specific landscape of frequency. We further reveal that the landscape is shaped by the combined effects of chromatin accessibility and spatial contact probability. The rearrangements tend to occur in 3D spatially proximal and chromatin-accessible regions. The enormous numbers of rearrangements mediated by SCRaMbLE provide a driving force to potentiate directed genome evolution, and the investigation of the rearrangement landscape offers mechanistic insights into the dynamics of genome evolution.
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Affiliation(s)
- Sijie Zhou
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yi Wu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yu Zhao
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA
| | - Zhen Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Limin Jiang
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
| | - Lin Liu
- Epigenetic Group, FrasergenBioinformatics Co., Ltd., Wuhan 430000, China
| | - Yan Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Jijun Tang
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
- Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA
| | - Ying-Jin Yuan
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
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49
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Chamorro González R, Conrad T, Stöber MC, Xu R, Giurgiu M, Rodriguez-Fos E, Kasack K, Brückner L, van Leen E, Helmsauer K, Dorado Garcia H, Stefanova ME, Hung KL, Bei Y, Schmelz K, Lodrini M, Mundlos S, Chang HY, Deubzer HE, Sauer S, Eggert A, Schulte JH, Schwarz RF, Haase K, Koche RP, Henssen AG. Parallel sequencing of extrachromosomal circular DNAs and transcriptomes in single cancer cells. Nat Genet 2023; 55:880-890. [PMID: 37142849 PMCID: PMC10181933 DOI: 10.1038/s41588-023-01386-y] [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: 12/20/2021] [Accepted: 03/28/2023] [Indexed: 05/06/2023]
Abstract
Extrachromosomal DNAs (ecDNAs) are common in cancer, but many questions about their origin, structural dynamics and impact on intratumor heterogeneity are still unresolved. Here we describe single-cell extrachromosomal circular DNA and transcriptome sequencing (scEC&T-seq), a method for parallel sequencing of circular DNAs and full-length mRNA from single cells. By applying scEC&T-seq to cancer cells, we describe intercellular differences in ecDNA content while investigating their structural heterogeneity and transcriptional impact. Oncogene-containing ecDNAs were clonally present in cancer cells and drove intercellular oncogene expression differences. In contrast, other small circular DNAs were exclusive to individual cells, indicating differences in their selection and propagation. Intercellular differences in ecDNA structure pointed to circular recombination as a mechanism of ecDNA evolution. These results demonstrate scEC&T-seq as an approach to systematically characterize both small and large circular DNA in cancer cells, which will facilitate the analysis of these DNA elements in cancer and beyond.
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Affiliation(s)
- Rocío Chamorro González
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Thomas Conrad
- Genomics Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Maja C Stöber
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin, Germany
- Faculty of Life Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Robin Xu
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Mădălina Giurgiu
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
- Freie Universität Berlin, Berlin, Germany
| | - Elias Rodriguez-Fos
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Katharina Kasack
- Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses IZI-BB, Potsdam, Germany
| | - Lotte Brückner
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
- Max-Delbrück-Centrum für Molekulare Medizin, Berlin, Germany
| | - Eric van Leen
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Konstantin Helmsauer
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Heathcliff Dorado Garcia
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Maria E Stefanova
- RG Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - King L Hung
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Yi Bei
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
| | - Karin Schmelz
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marco Lodrini
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Stefan Mundlos
- RG Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Hedwig E Deubzer
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
- German Cancer Consortium, partner site Berlin, and German Cancer Research Center, Heidelberg, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Sascha Sauer
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Angelika Eggert
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- German Cancer Consortium, partner site Berlin, and German Cancer Research Center, Heidelberg, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Johannes H Schulte
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- German Cancer Consortium, partner site Berlin, and German Cancer Research Center, Heidelberg, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Roland F Schwarz
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Institute for Computational Cancer Biology, Center for Integrated Oncology, Cancer Research Center Cologne Essen Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
| | - Kerstin Haase
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany
- German Cancer Consortium, partner site Berlin, and German Cancer Research Center, Heidelberg, Germany
| | - Richard P Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anton G Henssen
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
- Experimental and Clinical Research Center of the MDC and Charité Berlin, Berlin, Germany.
- Max-Delbrück-Centrum für Molekulare Medizin, Berlin, Germany.
- German Cancer Consortium, partner site Berlin, and German Cancer Research Center, Heidelberg, Germany.
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50
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Maura F, Ziccheddu B, Xiang JZ, Bhinder B, Rosiene J, Abascal F, Maclachlan KH, Eng KW, Uppal M, He F, Zhang W, Gao Q, Yellapantula VD, Trujillo-Alonso V, Park SI, Oberley MJ, Ruckdeschel E, Lim MS, Wertheim GB, Barth MJ, Horton TM, Derkach A, Kovach AE, Forlenza CJ, Zhang Y, Landgren O, Moskowitz CH, Cesarman E, Imielinski M, Elemento O, Roshal M, Giulino-Roth L. Molecular Evolution of Classic Hodgkin Lymphoma Revealed Through Whole-Genome Sequencing of Hodgkin and Reed Sternberg Cells. Blood Cancer Discov 2023; 4:208-227. [PMID: 36723991 PMCID: PMC10150291 DOI: 10.1158/2643-3230.bcd-22-0128] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/21/2022] [Accepted: 01/26/2023] [Indexed: 02/02/2023] Open
Abstract
The rarity of malignant Hodgkin and Reed Sternberg (HRS) cells in classic Hodgkin lymphoma (cHL) limits the ability to study the genomics of cHL. To circumvent this, our group has previously optimized fluorescence-activated cell sorting to purify HRS cells. Using this approach, we now report the whole-genome sequencing landscape of HRS cells and reconstruct the chronology and likely etiology of pathogenic events leading to cHL. We identified alterations in driver genes not previously described in cHL, APOBEC mutational activity, and the presence of complex structural variants including chromothripsis. We found that high ploidy in cHL is often acquired through multiple, independent chromosomal gains events including whole-genome duplication. Evolutionary timing analyses revealed that structural variants enriched for RAG motifs, driver mutations in B2M, BCL7A, GNA13, and PTPN1, and the onset of AID-driven mutagenesis usually preceded large chromosomal gains. This study provides a temporal reconstruction of cHL pathogenesis. SIGNIFICANCE Previous studies in cHL were limited to coding sequences and therefore not able to comprehensively decipher the tumor complexity. Here, leveraging cHL whole-genome characterization, we identify driver events and reconstruct the tumor evolution, finding that structural variants, driver mutations, and AID mutagenesis precede chromosomal gains. This article is highlighted in the In This Issue feature, p. 171.
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Affiliation(s)
- Francesco Maura
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Bachisio Ziccheddu
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Jenny Z. Xiang
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Bhavneet Bhinder
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Joel Rosiene
- Weill Cornell Medical College, New York, New York
| | - Federico Abascal
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Kylee H. Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth Wha Eng
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Manik Uppal
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Feng He
- Weill Cornell Medical College, New York, New York
| | - Wei Zhang
- Weill Cornell Medical College, New York, New York
| | - Qi Gao
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Venkata D. Yellapantula
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine at Children's Hospital Los Angeles, Los Angeles, California
| | | | - Sunita I. Park
- Department of Pathology, Children's Hospital of Atlanta, Atlanta, Georgia
| | | | | | - Megan S. Lim
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, Philadelphia
| | - Gerald B. Wertheim
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, Philadelphia
| | - Matthew J. Barth
- Department of Pediatrics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Terzah M. Horton
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Andriy Derkach
- Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | - Yanming Zhang
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ola Landgren
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Craig H. Moskowitz
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | | | - Marcin Imielinski
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Olivier Elemento
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Mikhail Roshal
- Memorial Sloan Kettering Cancer Center, New York, New York
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