1
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Fleischer T, Haugen MH, Ankill J, Silwal‐Pandit L, Børresen‐Dale A, Hedenfalk I, Hatschek T, Tost J, Engebraaten O, Kristensen VN. An integrated omics approach highlights how epigenetic events can explain and predict response to neoadjuvant chemotherapy and bevacizumab in breast cancer. Mol Oncol 2024; 18:2042-2059. [PMID: 38671580 PMCID: PMC11306529 DOI: 10.1002/1878-0261.13656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 02/09/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Treatment with the anti-angiogenic drug bevacizumab in addition to chemotherapy has shown efficacy for breast cancer in some clinical trials, but better biomarkers are needed to optimally select patients for treatment. Here, we present an omics approach where DNA methylation profiles are integrated with gene expression and results from proteomic data in breast cancer patients to predict response to therapy and pinpoint response-related epigenetic events. Fresh-frozen tumor biopsies taken before, during, and after treatment from human epidermal growth factor receptor 2 negative non-metastatic patients receiving neoadjuvant chemotherapy with or without bevacizumab were subjected to molecular profiling. Here, we report that DNA methylation at enhancer CpGs related to cell cycle regulation can predict response to chemotherapy and bevacizumab for the estrogen receptor positive subset of patients (AUC = 0.874), and we validated this observation in an independent patient cohort with a similar treatment regimen (AUC = 0.762). Combining the DNA methylation scores with the scores from a previously published protein signature resulted in a slight increase in the prediction performance (AUC = 0.784). We also show that tumors receiving the combination treatment underwent more extensive epigenetic alterations. Finally, we performed an integrative expression-methylation quantitative trait loci analysis on alterations in DNA methylation and gene expression levels, showing that the epigenetic alterations that occur during treatment are different between responders and non-responders and that these differences may be explained by the proliferation-epithelial-to-mesenchymal transition axis through the activity of grainyhead like transcription factor 2. Using tumor purity computed from copy number data, we developed a method for estimating cancer cell-specific methylation to confirm that the association to response reflects DNA methylation in cancer cells. Taken together, these results support the potential for clinical benefit of the addition of bevacizumab to chemotherapy when administered to the correct patients.
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Affiliation(s)
- Thomas Fleischer
- Department of Cancer Genetics, Institute for Cancer ResearchOslo University HospitalOsloNorway
| | - Mads Haugland Haugen
- Department of Tumor Biology, Institute for Cancer ResearchOslo University HospitalOsloNorway
| | - Jørgen Ankill
- Department of Cancer Genetics, Institute for Cancer ResearchOslo University HospitalOsloNorway
| | - Laxmi Silwal‐Pandit
- Department of Cancer Genetics, Institute for Cancer ResearchOslo University HospitalOsloNorway
| | - Anne‐Lise Børresen‐Dale
- Department of Cancer Genetics, Institute for Cancer ResearchOslo University HospitalOsloNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
| | - Ingrid Hedenfalk
- Division of Oncology, Department of Clinical Sciences LundLund UniversityLundSweden
| | - Thomas Hatschek
- Breast Cancer CenterKarolinska University HospitalStockholmSweden
- Department of Oncology‐PathologyKarolinska InstitutetStockholmSweden
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA – Institut de Biologie François JacobUniversité Paris SaclayEvryFrance
| | - Olav Engebraaten
- Department of Tumor Biology, Institute for Cancer ResearchOslo University HospitalOsloNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
- Division of Cancer Medicine, Department of OncologyOslo University HospitalOsloNorway
| | - Vessela N. Kristensen
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
- Department of Medical GeneticsOslo University HospitalOsloNorway
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2
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Zhang L, Zhou XM, Mallory X. SCCNAInfer: a robust and accurate tool to infer the absolute copy number on scDNA-seq data. BIOINFORMATICS (OXFORD, ENGLAND) 2024; 40:btae454. [PMID: 39067018 DOI: 10.1093/bioinformatics/btae454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/13/2024] [Accepted: 07/26/2024] [Indexed: 07/30/2024]
Abstract
MOTIVATION Copy number alterations (CNAs) play an important role in disease progression, especially in cancer. Single-cell DNA sequencing (scDNA-seq) facilitates the detection of CNAs of each cell that is sequenced at a shallow and uneven coverage. However, the state-of-the-art CNA detection tools based on scDNA-seq are still subject to genome-wide errors due to the wrong estimation of the ploidy. RESULTS We developed SCCNAInfer, a computational tool that utilizes the subclonal signal inside the tumor cells to more accurately infer each cell's ploidy and CNAs. Given the segmentation result of an existing CNA detection method, SCCNAInfer clusters the cells, infers the ploidy of each subclone, refines the read count by bin clustering, and accurately infers the CNAs for each cell. Both simulated and real datasets show that SCCNAInfer consistently improves upon the state-of-the-art CNA detection tools such as Aneufinder, Ginkgo, SCOPE and SeCNV. AVAILABILITY AND IMPLEMENTATION SCCNAInfer is freely available at https://github.com/compbio-mallory/SCCNAInfer. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Liting Zhang
- Department of Computer Science, Florida State University, Florida 32304, USA
| | - Xin Maizie Zhou
- Department of Biomedical Engineering, Vanderbilt University, Tennessee 37235, USA
| | - Xian Mallory
- Department of Computer Science, Florida State University, Florida 32304, USA
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3
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Halliwell JA, Martin-Gonzalez J, Hashim A, Dahl JA, Hoffmann ER, Lerdrup M. Sex-specific DNA-replication in the early mammalian embryo. Nat Commun 2024; 15:6323. [PMID: 39060312 PMCID: PMC11282264 DOI: 10.1038/s41467-024-50727-w] [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: 08/31/2023] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
The timing of DNA replication in mammals is crucial for minimizing errors and influenced by genome usage and chromatin states. Replication timing in the newly formed mammalian embryo remains poorly understood. Here, we have investigated replication timing in mouse zygotes and 2-cell embryos, revealing that zygotes lack a conventional replication timing program, which then emerges in 2-cell embryos. This program differs from embryonic stem cells and generally correlates with transcription and genome compartmentalization of both parental genomes. However, consistent and systematic differences existed between the replication timing of the two parental genomes, including considerably later replication of maternal pericentromeric regions compared to paternal counterparts. Moreover, maternal chromatin modified by Polycomb Repressive Complexes in the oocyte, undergoes early replication, despite belonging to the typically late-replicating B-compartment of the genome. This atypical and asynchronous replication of the two parental genomes may advance our understanding of replication stress in early human embryos and trigger strategies to reduce errors and aneuploidies.
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Affiliation(s)
- Jason Alexander Halliwell
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Javier Martin-Gonzalez
- Core Facility for Transgenic Mice, Department of Experimental Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Adnan Hashim
- Department of Microbiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Centre for Embryology and Healthy Development, University of Oslo, Oslo, Norway
| | - John Arne Dahl
- Department of Microbiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Centre for Embryology and Healthy Development, University of Oslo, Oslo, Norway
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Mads Lerdrup
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Centre for Embryology and Healthy Development, University of Oslo, Oslo, Norway.
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4
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Fernandez-Mateos J, Cresswell GD, Trahearn N, Webb K, Sakr C, Lampis A, Stuttle C, Corbishley CM, Stavrinides V, Zapata L, Spiteri I, Heide T, Gallagher L, James C, Ramazzotti D, Gao A, Kote-Jarai Z, Acar A, Truelove L, Proszek P, Murray J, Reid A, Wilkins A, Hubank M, Eeles R, Dearnaley D, Sottoriva A. Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer. NATURE CANCER 2024:10.1038/s43018-024-00787-0. [PMID: 38997466 DOI: 10.1038/s43018-024-00787-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 05/23/2024] [Indexed: 07/14/2024]
Abstract
Cancer evolution lays the groundwork for predictive oncology. Testing evolutionary metrics requires quantitative measurements in controlled clinical trials. We mapped genomic intratumor heterogeneity in locally advanced prostate cancer using 642 samples from 114 individuals enrolled in clinical trials with a 12-year median follow-up. We concomitantly assessed morphological heterogeneity using deep learning in 1,923 histological sections from 250 individuals. Genetic and morphological (Gleason) diversity were independent predictors of recurrence (hazard ratio (HR) = 3.12 and 95% confidence interval (95% CI) = 1.34-7.3; HR = 2.24 and 95% CI = 1.28-3.92). Combined, they identified a group with half the median time to recurrence. Spatial segregation of clones was also an independent marker of recurrence (HR = 2.3 and 95% CI = 1.11-4.8). We identified copy number changes associated with Gleason grade and found that chromosome 6p loss correlated with reduced immune infiltration. Matched profiling of relapse, decades after diagnosis, confirmed that genomic instability is a driving force in prostate cancer progression. This study shows that combining genomics with artificial intelligence-aided histopathology leads to the identification of clinical biomarkers of evolution.
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Affiliation(s)
- Javier Fernandez-Mateos
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - George D Cresswell
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- St. Anna Children's Cancer Research Institute, Vienna, Austria
| | - Nicholas Trahearn
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Katharine Webb
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Chirine Sakr
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Andrea Lampis
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Christine Stuttle
- The Royal Marsden NHS Foundation Trust, London, UK
- Oncogenetics Team, The Institute of Cancer Research, London, UK
| | - Catherine M Corbishley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
- St. George's Hospital Healthcare NHS Trust, London, UK
| | | | - Luis Zapata
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Inmaculada Spiteri
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Timon Heide
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Lewis Gallagher
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Chela James
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | | | - Annie Gao
- Bob Champion Cancer Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | | | - Ahmet Acar
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Lesley Truelove
- Bob Champion Cancer Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Paula Proszek
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Julia Murray
- The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Alison Reid
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Anna Wilkins
- The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Michael Hubank
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Ros Eeles
- The Royal Marsden NHS Foundation Trust, London, UK
- Oncogenetics Team, The Institute of Cancer Research, London, UK
| | - David Dearnaley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
- Academic Urology Unit, The Royal Marsden NHS Foundation Trust, London, UK.
| | - Andrea Sottoriva
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Computational Biology Research Centre, Human Technopole, Milan, Italy.
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5
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Hutten SJ, Messal HA, Lips EH, Sheinman M, Ciwinska M, Braams E, van der Borden C, Kristel P, Stoffers S, Wessels LF, Jonkers J, van Rheenen J, Wesseling J, Scheele CL. Ductal carcinoma in situ develops within clonal fields of mutant cells in morphologically normal ducts. J Pathol 2024; 263:360-371. [PMID: 38779852 DOI: 10.1002/path.6289] [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: 11/30/2023] [Revised: 02/28/2024] [Accepted: 03/30/2024] [Indexed: 05/25/2024]
Abstract
Mutations are abundantly present in tissues of healthy individuals, including the breast epithelium. Yet it remains unknown whether mutant cells directly induce lesion formation or first spread, leading to a field of mutant cells that is predisposed towards lesion formation. To study the clonal and spatial relationships between morphologically normal breast epithelium adjacent to pre-cancerous lesions, we developed a three-dimensional (3D) imaging pipeline combined with spatially resolved genomics on archival, formalin-fixed breast tissue with the non-obligate breast cancer precursor ductal carcinoma in situ (DCIS). Using this 3D image-guided characterization method, we built high-resolution spatial maps of DNA copy number aberration (CNA) profiles within the DCIS lesion and the surrounding normal mammary ducts. We show that the local heterogeneity within a DCIS lesion is limited. However, by mapping the CNA profiles back onto the 3D reconstructed ductal subtree, we find that in eight out of 16 cases the healthy epithelium adjacent to the DCIS lesions has overlapping structural variations with the CNA profile of the DCIS. Together, our study indicates that pre-malignant breast transformations frequently develop within mutant clonal fields of morphologically normal-looking ducts. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Stefan J Hutten
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Hendrik A Messal
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Michael Sheinman
- Oncode Institute, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marta Ciwinska
- Department of Oncology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Esmee Braams
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Carolien van der Borden
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Petra Kristel
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Saskia Stoffers
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lodewyk Fa Wessels
- Oncode Institute, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Colinda Lgj Scheele
- Department of Oncology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
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6
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Hayes V, Jiang J, Tapinos A, Huang R, Bornman R, Stricker P, Mutambirwa S, Wedge D, Jaratlerdsiri W. Kataegis associated mutational processes linked to adverse prostate cancer presentation in African men. RESEARCH SQUARE 2024:rs.3.rs-4597464. [PMID: 38978580 PMCID: PMC11230510 DOI: 10.21203/rs.3.rs-4597464/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Kataegis, the focal hypermutation of single base substitutions (SBS) in tumour genomes, has received little attention with respect to prostate cancer (PCa) associated molecular and clinical features. Most notably, data is lacking with regards to this tumour evolutionary phenomenon and PCa racial disparities, with African men disproportionately impacted. Here through comparison between African (n = 109) and non-African (n = 79) whole genome sequenced treatment naïve primary tumours, using a single analytical workflow we assessed for shared and unique features of kataegis. Linking kataegis to aggressive presentation, structural variant burden and copy number loss, we attributed APOBEC3 activity through higher rates of SBS2 to high-risk African tumours. While kataegis positive African patients presented with elevated prostate specific antigen levels, their tumours showed evolutionary unique trajectories marked by increased subclonal and structural variant-independent kataegis. The potential to exacerbate tumour heterogeneity emphases the significance of continued exploration of biological behaviours and environmental exposures for African patients.
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Affiliation(s)
| | - Jue Jiang
- Garvan Institute of Medical Research
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7
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Joo EH, Kim S, Park D, Lee T, Park WY, Han KY, Lee JE. Migratory Tumor Cells Cooperate with Cancer Associated Fibroblasts in Hormone Receptor-Positive and HER2-Negative Breast Cancer. Int J Mol Sci 2024; 25:5876. [PMID: 38892065 PMCID: PMC11172245 DOI: 10.3390/ijms25115876] [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: 03/20/2024] [Revised: 05/17/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Hormone receptor-positive and HER2-negative breast cancer (HR+/HER2-BC) is the most common type with a favorable prognosis under endocrine therapy. However, it still demonstrates unpredictable progression and recurrences influenced by high tumoral diversity and microenvironmental status. To address these heterogeneous molecular characteristics of HR+/HER2-BC, we aimed to simultaneously characterize its transcriptomic landscape and genetic architecture at the same resolution. Using advanced single-cell RNA and DNA sequencing techniques together, we defined four distinct tumor subtypes. Notably, the migratory tumor subtype was closely linked to genomic alterations of EGFR, related to the tumor-promoting behavior of IL6-positive inflammatory tumor-associated fibroblast, and contributing to poor prognosis. Our study comprehensively utilizes integrated analysis to uncover the complex dynamics of this breast cancer subtype, highlighting the pivotal role of the migratory tumor subtype in influencing surrounding cells. This sheds light on potential therapeutic targets by offering enhanced insights for HR+/HER2-BC treatment.
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Affiliation(s)
- Eun Hye Joo
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Republic of Korea; (E.H.J.); (W.-Y.P.)
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
| | - Sangmin Kim
- Department of Breast Cancer Center, Samsung Medical Center, Seoul 06351, Republic of Korea;
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Donghyun Park
- Planit Healthcare Inc., Seoul 06235, Republic of Korea;
| | - Taeseob Lee
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea;
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Republic of Korea; (E.H.J.); (W.-Y.P.)
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Kyung Yeon Han
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Republic of Korea; (E.H.J.); (W.-Y.P.)
| | - Jeong Eon Lee
- Department of Breast Cancer Center, Samsung Medical Center, Seoul 06351, Republic of Korea;
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
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8
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Myers MA, Arnold BJ, Bansal V, Balaban M, Mullen KM, Zaccaria S, Raphael BJ. HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data. Genome Biol 2024; 25:130. [PMID: 38773520 PMCID: PMC11110434 DOI: 10.1186/s13059-024-03267-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 05/03/2024] [Indexed: 05/24/2024] Open
Abstract
Bulk DNA sequencing of multiple samples from the same tumor is becoming common, yet most methods to infer copy-number aberrations (CNAs) from this data analyze individual samples independently. We introduce HATCHet2, an algorithm to identify haplotype- and clone-specific CNAs simultaneously from multiple bulk samples. HATCHet2 extends the earlier HATCHet method by improving identification of focal CNAs and introducing a novel statistic, the minor haplotype B-allele frequency (mhBAF), that enables identification of mirrored-subclonal CNAs. We demonstrate HATCHet2's improved accuracy using simulations and a single-cell sequencing dataset. HATCHet2 analysis of 10 prostate cancer patients reveals previously unreported mirrored-subclonal CNAs affecting cancer genes.
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Affiliation(s)
- Matthew A Myers
- Department of Computer Science, Princeton University, Princeton, USA
| | - Brian J Arnold
- Center for Statistics and Machine Learning, Princeton University, Princeton, USA
| | - Vineet Bansal
- Princeton Research Computing, Princeton University, Princeton, NJ, USA
| | - Metin Balaban
- Department of Computer Science, Princeton University, Princeton, USA
| | - Katelyn M Mullen
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simone Zaccaria
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK.
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9
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Garrido Ruiz PA, Rodriguez ÁO, Corchete LA, Zelaya Huerta V, Pasco Peña A, Caballero Martínez C, González-Carreró Fojón J, Catalina Fernández I, López Duque JC, Zaldumbide Dueñas L, Mosteiro González L, Astudillo MA, Hernández-Laín A, Camacho Urkaray EN, Viguri Diaz MA, Orfao A, Tabernero MD. Paired Primary and Recurrent Rhabdoid Meningiomas: Cytogenetic Alterations, BAP1 Gene Expression Profile and Patient Outcome. BIOLOGY 2024; 13:350. [PMID: 38785832 PMCID: PMC11117813 DOI: 10.3390/biology13050350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/02/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024]
Abstract
Rhabdoid meningiomas (RM) are a rare meningioma subtype with a heterogeneous clinical course which is more frequently associated with recurrence, even among tumors undergoing-complete surgical removal. Here, we retrospectively analyzed the clinical-histopathological and cytogenetic features of 29 tumors, from patients with recurrent (seven primary and 14 recurrent tumors) vs. non-recurrent RM (n = 8). Recurrent RM showed one (29%), two (29%) or three (42%) recurrences. BAP1 loss of expression was found in one third of all RM at diagnosis and increased to 100% in subsequent tumor recurrences. Despite both recurrent and non-recurrent RM shared chromosome 22 losses, non-recurrent tumors more frequently displayed extensive losses of chromosome 19p (62%) and/or 19q (50%), together with gains of chromosomes 20 and 21 (38%, respectively), whereas recurrent RM (at diagnosis) displayed more complex genotypic profiles with extensive losses of chromosomes 1p, 14q, 18p, 18q (67% each) and 21p (50%), together with focal gains at chromosome 17q22 (67%). Compared to paired primary tumors, recurrent RM samples revealed additional losses at chromosomes 16q and 19p (50% each), together with gains at chromosomes 1q and 17q in most recurrent tumors (67%, each). All deceased recurrent RM patients corresponded to women with chromosome 17q gains, although no statistical significant differences were found vs. the other RM patients.
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Grants
- GRS 2315/A/21 Consejería de Sanidad JCYL, Gerencia Regional de Salud, Spain
- Consejería de Sanidad JCYL, Gerencia Regional de Salud, Spain GRS 2132/A/20
- CB16/12/00400 CIBERONC, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, Madrid, Spain
- FICUS-CIC donations Asociación René Rodríguez Tobar (Santa Cruz de La Palma, Canarias, Spain
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Affiliation(s)
- Patricia Alejandra Garrido Ruiz
- Neurosurgery Service of the University Hospital of Salamanca, 37007 Salamanca, Spain; (P.A.G.R.); (Á.O.R.)
- Instituto de Investigación Biomédica de Salamanca (IBSAL), 37007 Salamanca, Spain; (L.A.C.); (A.O.)
| | - Álvaro Otero Rodriguez
- Neurosurgery Service of the University Hospital of Salamanca, 37007 Salamanca, Spain; (P.A.G.R.); (Á.O.R.)
- Instituto de Investigación Biomédica de Salamanca (IBSAL), 37007 Salamanca, Spain; (L.A.C.); (A.O.)
| | - Luis Antonio Corchete
- Instituto de Investigación Biomédica de Salamanca (IBSAL), 37007 Salamanca, Spain; (L.A.C.); (A.O.)
| | - Victoria Zelaya Huerta
- Pathology Service of the University Hospital of Pamplona, 31008 Pamplona, Spain; (V.Z.H.); (A.P.P.); (C.C.M.)
| | - Alejandro Pasco Peña
- Pathology Service of the University Hospital of Pamplona, 31008 Pamplona, Spain; (V.Z.H.); (A.P.P.); (C.C.M.)
| | - Cristina Caballero Martínez
- Pathology Service of the University Hospital of Pamplona, 31008 Pamplona, Spain; (V.Z.H.); (A.P.P.); (C.C.M.)
| | | | | | | | - Laura Zaldumbide Dueñas
- Pathology Service of the University Hospital Cruces, 48903 Barakaldo, Spain; (L.Z.D.); (L.M.G.)
| | | | | | - Aurelio Hernández-Laín
- Pathology Service of the University Hospital 12 Octubre, Universidad Complutense, 28041 Madrid, Spain;
| | | | | | - Alberto Orfao
- Instituto de Investigación Biomédica de Salamanca (IBSAL), 37007 Salamanca, Spain; (L.A.C.); (A.O.)
- Centre for Cancer Research (CIC-IBMCC; CSIC/USAL; IBSAL) and Department of Medicine, University of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Networking Centre on Cancer–CIBERONC (CB16/12/00400), Institute of Health Carlos III, 37007 Salamanca, Spain
| | - María Dolores Tabernero
- Instituto de Investigación Biomédica de Salamanca (IBSAL), 37007 Salamanca, Spain; (L.A.C.); (A.O.)
- Centre for Cancer Research (CIC-IBMCC; CSIC/USAL; IBSAL) and Department of Medicine, University of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Networking Centre on Cancer–CIBERONC (CB16/12/00400), Institute of Health Carlos III, 37007 Salamanca, Spain
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10
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Kurt S, Chen M, Toosi H, Chen X, Engblom C, Mold J, Hartman J, Lagergren J. CopyVAE: a variational autoencoder-based approach for copy number variation inference using single-cell transcriptomics. Bioinformatics 2024; 40:btae284. [PMID: 38676578 PMCID: PMC11087824 DOI: 10.1093/bioinformatics/btae284] [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: 11/21/2023] [Revised: 03/06/2024] [Accepted: 04/25/2024] [Indexed: 04/29/2024] Open
Abstract
MOTIVATION Copy number variations (CNVs) are common genetic alterations in tumour cells. The delineation of CNVs holds promise for enhancing our comprehension of cancer progression. Moreover, accurate inference of CNVs from single-cell sequencing data is essential for unravelling intratumoral heterogeneity. However, existing inference methods face limitations in resolution and sensitivity. RESULTS To address these challenges, we present CopyVAE, a deep learning framework based on a variational autoencoder architecture. Through experiments, we demonstrated that CopyVAE can accurately and reliably detect CNVs from data obtained using single-cell RNA sequencing. CopyVAE surpasses existing methods in terms of sensitivity and specificity. We also discussed CopyVAE's potential to advance our understanding of genetic alterations and their impact on disease advancement. AVAILABILITY AND IMPLEMENTATION CopyVAE is implemented and freely available under MIT license at https://github.com/kurtsemih/copyVAE.
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Affiliation(s)
- Semih Kurt
- School of EECS and SciLifeLab, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden
| | - Mandi Chen
- School of EECS and SciLifeLab, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden
| | - Hosein Toosi
- School of EECS and SciLifeLab, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden
| | - Xinsong Chen
- Department of Oncology and Pathology, Karolinska Institutet, Solna, 171 77, Sweden
| | - Camilla Engblom
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna, 171 77, Sweden
| | - Jeff Mold
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna, 171 77, Sweden
| | - Johan Hartman
- Department of Oncology and Pathology, Karolinska Institutet, Solna, 171 77, Sweden
- Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Solna, 171 76, Sweden
| | - Jens Lagergren
- School of EECS and SciLifeLab, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden
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11
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Zhang N, Harbers L, Simonetti M, Diekmann C, Verron Q, Berrino E, Bellomo SE, Longo GMC, Ratz M, Schultz N, Tarish F, Su P, Han B, Wang W, Onorato S, Grassini D, Ballarino R, Giordano S, Yang Q, Sapino A, Frisén J, Alkass K, Druid H, Roukos V, Helleday T, Marchiò C, Bienko M, Crosetto N. High clonal diversity and spatial genetic admixture in early prostate cancer and surrounding normal tissue. Nat Commun 2024; 15:3475. [PMID: 38658552 PMCID: PMC11043350 DOI: 10.1038/s41467-024-47664-z] [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: 08/10/2023] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Abstract
Somatic copy number alterations (SCNAs) are pervasive in advanced human cancers, but their prevalence and spatial distribution in early-stage, localized tumors and their surrounding normal tissues are poorly characterized. Here, we perform multi-region, single-cell DNA sequencing to characterize the SCNA landscape across tumor-rich and normal tissue in two male patients with localized prostate cancer. We identify two distinct karyotypes: 'pseudo-diploid' cells harboring few SCNAs and highly aneuploid cells. Pseudo-diploid cells form numerous small-sized subclones ranging from highly spatially localized to broadly spread subclones. In contrast, aneuploid cells do not form subclones and are detected throughout the prostate, including normal tissue regions. Highly localized pseudo-diploid subclones are confined within tumor-rich regions and carry deletions in multiple tumor-suppressor genes. Our study reveals that SCNAs are widespread in normal and tumor regions across the prostate in localized prostate cancer patients and suggests that a subset of pseudo-diploid cells drive tumorigenesis in the aging prostate.
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Affiliation(s)
- Ning Zhang
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Luuk Harbers
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Michele Simonetti
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Constantin Diekmann
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Quentin Verron
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Enrico Berrino
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Sara E Bellomo
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Oncology, University of Turin, Turin, Italy
| | | | - Michael Ratz
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
| | - Niklas Schultz
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | | | - Peng Su
- Department of Pathology, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Bo Han
- Department of Pathology, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Wanzhong Wang
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Sofia Onorato
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Dora Grassini
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Roberto Ballarino
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Silvia Giordano
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Oncology, University of Turin, Turin, Italy
| | - Qifeng Yang
- Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Anna Sapino
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Jonas Frisén
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
| | - Kanar Alkass
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Henrik Druid
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Vassilis Roukos
- Institute of Molecular Biology (IMB), Mainz, 55128, Germany
- Department of General Biology, Medical School, University of Patras, Patras, Greece
| | - Thomas Helleday
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Caterina Marchiò
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Magda Bienko
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Nicola Crosetto
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
- Science for Life Laboratory, Stockholm, 17177, Sweden.
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
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12
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Cao W, Wang X, Luo K, Li Y, Sun J, Fu R, Zhang Q, Hong N, Cheung E, Jin W. Single cell analyses of cancer cells identified two regulatorily and functionally distinct categories in differentially expressed genes among tumor subclones. Heliyon 2024; 10:e28071. [PMID: 38524605 PMCID: PMC10958426 DOI: 10.1016/j.heliyon.2024.e28071] [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: 10/12/2023] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/26/2024] Open
Abstract
To explore the feature of cancer cells and tumor subclones, we analyzed 101,065 single-cell transcriptomes from 12 colorectal cancer (CRC) patients and 92 single cell genomes from one of these patients. We found cancer cells, endothelial cells and stromal cells in tumor tissue expressed much more genes and had stronger cell-cell interactions than their counterparts in normal tissue. We identified copy number variations (CNVs) in each cancer cell and found correlation between gene copy number and expression level in cancer cells at single cell resolution. Analysis of tumor subclones inferred by CNVs showed accumulation of mutations in each tumor subclone along lineage trajectories. We found differentially expressed genes (DEGs) between tumor subclones had two populations: DEGCNV and DEGreg. DEGCNV, showing high CNV-expression correlation and whose expression differences depend on the differences of CNV level, enriched in housekeeping genes and cell adhesion associated genes. DEGreg, showing low CNV-expression correlation and mainly in low CNV variation regions and regions without CNVs, enriched in cytokine signaling genes. Furthermore, cell-cell communication analyses showed that DEGCNV tends to involve in cell-cell contact while DEGreg tends to involve in secreted signaling, which further support that DEGCNV and DEGreg are two regulatorily and functionally distinct categories.
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Affiliation(s)
- Wei Cao
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
- Cancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR
| | - Xuefei Wang
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Kaiwen Luo
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Yang Li
- Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Jiahong Sun
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Ruqing Fu
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Qi Zhang
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Ni Hong
- School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Edwin Cheung
- Cancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR
| | - Wenfei Jin
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
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13
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Chen JP, Diekmann C, Wu H, Chen C, Della Chiara G, Berrino E, Georgiadis KL, Bouwman BAM, Virdi M, Harbers L, Bellomo SE, Marchiò C, Bienko M, Crosetto N. scCircle-seq unveils the diversity and complexity of extrachromosomal circular DNAs in single cells. Nat Commun 2024; 15:1768. [PMID: 38409079 PMCID: PMC10897160 DOI: 10.1038/s41467-024-45972-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: 03/07/2023] [Accepted: 02/08/2024] [Indexed: 02/28/2024] Open
Abstract
Extrachromosomal circular DNAs (eccDNAs) have emerged as important intra-cellular mobile genetic elements that affect gene copy number and exert in trans regulatory roles within the cell nucleus. Here, we describe scCircle-seq, a method for profiling eccDNAs and unraveling their diversity and complexity in single cells. We implement and validate scCircle-seq in normal and cancer cell lines, demonstrating that most eccDNAs vary largely between cells and are stochastically inherited during cell division, although their genomic landscape is cell type-specific and can be used to accurately cluster cells of the same origin. eccDNAs are preferentially produced from chromatin regions enriched in H3K9me3 and H3K27me3 histone marks and are induced during replication stress conditions. Concomitant sequencing of eccDNAs and RNA from the same cell uncovers the absence of correlation between eccDNA copy number and gene expression levels, except for a few oncogenes, including MYC, contained within a large eccDNA in colorectal cancer cells. Lastly, we apply scCircle-seq to one prostate cancer and two breast cancer specimens, revealing cancer-specific eccDNA landscapes and a higher propensity of eccDNAs to form in amplified genomic regions. scCircle-seq is a scalable tool that can be used to dissect the complexity of eccDNAs across different cell and tissue types, and further expands the potential of eccDNAs for cancer diagnostics.
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Affiliation(s)
- Jinxin Phaedo Chen
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden.
| | - Constantin Diekmann
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden
| | - Honggui Wu
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, PR China
- School of Life Sciences, Peking University, Beijing, PR China
| | - Chong Chen
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, PR China
| | | | - Enrico Berrino
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Konstantinos L Georgiadis
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Britta A M Bouwman
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden
| | - Mohit Virdi
- Human Technopole, Viale Rita Levi-Montalcini 1, 22157, Milan, Italy
| | - Luuk Harbers
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden
| | - Sara Erika Bellomo
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
| | - Caterina Marchiò
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Magda Bienko
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden.
- Human Technopole, Viale Rita Levi-Montalcini 1, 22157, Milan, Italy.
| | - Nicola Crosetto
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
- Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17165, Sweden.
- Human Technopole, Viale Rita Levi-Montalcini 1, 22157, Milan, Italy.
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14
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Kommoss FK, Lee CH, Tessier-Cloutier B, Gilks CB, Stewart CJ, von Deimling A, Köbel M. Mesonephric-like adenocarcinoma harbours characteristic copy number variations and a distinct DNA methylation signature closely related to mesonephric adenocarcinoma of the cervix. J Pathol 2024; 262:4-9. [PMID: 37850576 DOI: 10.1002/path.6217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/09/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023]
Abstract
Mesonephric-like adenocarcinoma (MLA) of the female genital tract is an uncommon histotype that can arise in both the endometrium and the ovary. The exact cell of origin and histogenesis currently remain unknown. Here, we investigated whole genome DNA methylation patterns and copy number variations (CNVs) in a series of MLAs in the context of a large cohort of various gynaecological carcinoma types. CNV analysis of 19 MLAs uncovered gains of chromosomes 1q (18/19, 95%), 10 (15/19, 79%), 12 (14/19, 74%), and 2 (10/19, 53%), as well as loss of chromosome 1p (7/19, 37%). Gains of chromosomes 1q, 10, and 12 were also identified in the majority of mesonephric adenocarcinomas of the uterine cervix (MAs) as well as subsets of endometrioid carcinomas (ECs) and low-grade serous carcinomas of the ovary (LGSCs) but only in a minority of serous carcinomas of the uterine corpus (USCs), clear cell carcinomas (CCCs), and tubo-ovarian high-grade serous carcinomas (HGSCs). While losses of chromosome 1p together with gains of chromosome 1q were also identified in both MA and LGSC, gains of chromosome 2 were almost exclusively identified in MLA and MA. Unsupervised hierarchical clustering and t-SNE analysis of DNA methylation data (Illumina EPIC array) identified a co-clustering for MLAs and MAs, which was distinct from clusters of ECs, USCs, CCCs, LGSCs, and HGSCs. Group-wise comparisons confirmed a close epigenetic relationship between MLA and MA. These findings, in conjunction with the established histological and immunophenotypical overlap, suggest bona fide mesonephric differentiation, and support a more precise terminology of mesonephric-type adenocarcinoma instead of MLA in these tumours. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Felix Kf Kommoss
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Cheng-Han Lee
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | | | - C Blake Gilks
- Department of Laboratory Medicine and Pathology, University of British Columbia, Vancouver, BC, Canada
| | - Colin Jr Stewart
- Department of Anatomical Pathology, King Edward Memorial Hospital, Subiaco, WA, Australia
- School for Women's and Infants' Health, University of Western Australia, Perth, WA, Australia
| | - Andreas von Deimling
- Department of Neuropathology, Heidelberg University Hospital and CCU Neuropathology DKFZ, Heidelberg, Germany
| | - Martin Köbel
- Department of Laboratory Medicine and Pathology, University of Calgary, Calgary, AB, Canada
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15
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Nakatani T, Schauer T, Altamirano-Pacheco L, Klein KN, Ettinger A, Pal M, Gilbert DM, Torres-Padilla ME. Emergence of replication timing during early mammalian development. Nature 2024; 625:401-409. [PMID: 38123678 PMCID: PMC10781638 DOI: 10.1038/s41586-023-06872-1] [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: 11/06/2022] [Accepted: 11/16/2023] [Indexed: 12/23/2023]
Abstract
DNA replication enables genetic inheritance across the kingdoms of life. Replication occurs with a defined temporal order known as the replication timing (RT) programme, leading to organization of the genome into early- or late-replicating regions. RT is cell-type specific, is tightly linked to the three-dimensional nuclear organization of the genome1,2 and is considered an epigenetic fingerprint3. In spite of its importance in maintaining the epigenome4, the developmental regulation of RT in mammals in vivo has not been explored. Here, using single-cell Repli-seq5, we generated genome-wide RT maps of mouse embryos from the zygote to the blastocyst stage. Our data show that RT is initially not well defined but becomes defined progressively from the 4-cell stage, coinciding with strengthening of the A and B compartments. We show that transcription contributes to the precision of the RT programme and that the difference in RT between the A and B compartments depends on RNA polymerase II at zygotic genome activation. Our data indicate that the establishment of nuclear organization precedes the acquisition of defined RT features and primes the partitioning of the genome into early- and late-replicating domains. Our work sheds light on the establishment of the epigenome at the beginning of mammalian development and reveals the organizing principles of genome organization.
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Affiliation(s)
| | - Tamas Schauer
- Institute of Epigenetics and Stem Cells, Helmholtz Munich, Munich, Germany
| | | | - Kyle N Klein
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Andreas Ettinger
- Institute of Epigenetics and Stem Cells, Helmholtz Munich, Munich, Germany
| | - Mrinmoy Pal
- Institute of Epigenetics and Stem Cells, Helmholtz Munich, Munich, Germany
| | - David M Gilbert
- Laboratory of Chromosome Replication and Epigenome Regulation, San Diego Biomedical Research Institute, San Diego, CA, USA
| | - Maria-Elena Torres-Padilla
- Institute of Epigenetics and Stem Cells, Helmholtz Munich, Munich, Germany.
- Faculty of Biology, Ludwig-Maximilians Universität, Munich, Germany.
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16
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Difilippo V, Saba KH, Styring E, Magnusson L, Nilsson J, Nathrath M, Baumhoer D, Nord KH. Osteosarcomas With Few Chromosomal Alterations or Adult Onset Are Genetically Heterogeneous. J Transl Med 2024; 104:100283. [PMID: 37931683 DOI: 10.1016/j.labinv.2023.100283] [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: 06/22/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/08/2023] Open
Abstract
Osteosarcoma is the most common primary bone malignancy, often detected in children and adolescents and commonly associated with TP53 alterations along with a high number of chromosomal rearrangements. However, osteosarcoma can affect patients of any age, and some tumors display less genetic complexity. Besides TP53 variants, data on key driving mutations are lacking for many osteosarcomas, particularly those affecting adults. To detect osteosarcoma-specific alterations, we screened transcriptomic and genomic sequencing and copy number data from 150 bone tumors originally diagnosed as osteosarcomas. To increase the precision in gene fusion detection, we developed a bioinformatic tool denoted as NAFuse, which extracts gene fusions that are verified at both the genomic and transcriptomic levels. Apart from the already reported genetic subgroups of osteosarcoma with TP53 structural variants, or MDM2 and/or CDK4 amplification, we did not identify any recurrent genetic driver that signifies the remaining cases. Among the plethora of mutations identified, we found genetic alterations characteristic of, or similar to, those of other bone and soft tissue tumors in 8 cases. These mutations were found in tumors with relatively few other genetic alterations or in adults. Due to the lack of clinical context and available tissue, we can question the diagnosis only on a genetic basis. However, our findings support the notion that osteosarcomas with few chromosomal alterations or adult onset seem genetically distinct from conventional osteosarcomas of children and adolescents.
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Affiliation(s)
- Valeria Difilippo
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Karim H Saba
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Emelie Styring
- Department of Orthopedics, Lund University, Skåne University Hospital, Lund, Sweden
| | - Linda Magnusson
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Jenny Nilsson
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Michaela Nathrath
- Children's Cancer Research Centre and Department of Pediatrics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany; Department of Pediatric Oncology, Klinikum Kassel, Kassel, Germany
| | - Daniel Baumhoer
- Bone Tumour Reference Centre at the Institute of Pathology, University Hospital and University of Basel, Basel, Switzerland
| | - Karolin H Nord
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden.
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17
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Dayton TL, Alcala N, Moonen L, den Hartigh L, Geurts V, Mangiante L, Lap L, Dost AFM, Beumer J, Levy S, van Leeuwaarde RS, Hackeng WM, Samsom K, Voegele C, Sexton-Oates A, Begthel H, Korving J, Hillen L, Brosens LAA, Lantuejoul S, Jaksani S, Kok NFM, Hartemink KJ, Klomp HM, Borel Rinkes IHM, Dingemans AM, Valk GD, Vriens MR, Buikhuisen W, van den Berg J, Tesselaar M, Derks J, Speel EJ, Foll M, Fernández-Cuesta L, Clevers H. Druggable growth dependencies and tumor evolution analysis in patient-derived organoids of neuroendocrine neoplasms from multiple body sites. Cancer Cell 2023; 41:2083-2099.e9. [PMID: 38086335 DOI: 10.1016/j.ccell.2023.11.007] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/06/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023]
Abstract
Neuroendocrine neoplasms (NENs) comprise well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). Treatment options for patients with NENs are limited, in part due to lack of accurate models. We establish patient-derived tumor organoids (PDTOs) from pulmonary NETs and derive PDTOs from an understudied subtype of NEC, large cell neuroendocrine carcinoma (LCNEC), arising from multiple body sites. PDTOs maintain the gene expression patterns, intra-tumoral heterogeneity, and evolutionary processes of parental tumors. Through hypothesis-driven drug sensitivity analyses, we identify ASCL1 as a potential biomarker for response of LCNEC to treatment with BCL-2 inhibitors. Additionally, we discover a dependency on EGF in pulmonary NET PDTOs. Consistent with these findings, we find that, in an independent cohort, approximately 50% of pulmonary NETs express EGFR. This study identifies an actionable vulnerability for a subset of pulmonary NETs, emphasizing the utility of these PDTO models.
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Affiliation(s)
- Talya L Dayton
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Hubrecht Institute, 3584 CT Utrecht, the Netherlands.
| | - Nicolas Alcala
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France
| | - Laura Moonen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, 6229 ER Maastricht, the Netherlands
| | - Lisanne den Hartigh
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands
| | - Veerle Geurts
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands
| | - Lise Mangiante
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France
| | - Lisa Lap
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, 6229 ER Maastricht, the Netherlands
| | - Antonella F M Dost
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Hubrecht Institute, 3584 CT Utrecht, the Netherlands
| | - Joep Beumer
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Hubrecht Institute, 3584 CT Utrecht, the Netherlands
| | - Sonja Levy
- Department of Medical Oncology, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Rachel S van Leeuwaarde
- Department of Endocrine Oncology, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands
| | - Wenzel M Hackeng
- Department of Pathology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Kris Samsom
- Department of Pathology, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - Catherine Voegele
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France
| | - Alexandra Sexton-Oates
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France
| | - Harry Begthel
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands
| | - Jeroen Korving
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands
| | - Lisa Hillen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, 6229 ER Maastricht, the Netherlands
| | - Lodewijk A A Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Sylvie Lantuejoul
- Department of Biopathology, Pathology Research Platform- Synergie Lyon Cancer- CRCL, Centre Léon Bérard Unicancer, 69008 Lyon, France; Université Grenoble Alpes, Grenoble, France
| | - Sridevi Jaksani
- Hubrecht Organoid Technology, Utrecht 3584 CM, the Netherlands
| | - Niels F M Kok
- Department of Surgery, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - Koen J Hartemink
- Department of Surgery, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - Houke M Klomp
- Department of Surgery, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - Inne H M Borel Rinkes
- Department of Endocrine Surgical Oncology, University Medical Center Utrecht, Utrecht 3508 GA, the Netherlands
| | - Anne-Marie Dingemans
- Department of Pulmonary Diseases, GROW School for Oncology and and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands; Department of Pulmonary Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Gerlof D Valk
- Department of Endocrine Oncology, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands
| | - Menno R Vriens
- Department of Endocrine Surgical Oncology, University Medical Center Utrecht, Utrecht 3508 GA, the Netherlands
| | - Wieneke Buikhuisen
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - José van den Berg
- Department of Pathology, Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands
| | - Margot Tesselaar
- Department of Medical Oncology, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Jules Derks
- Department of Pulmonary Diseases, GROW School for Oncology and and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ernst Jan Speel
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, 6229 ER Maastricht, the Netherlands
| | - Matthieu Foll
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France
| | - Lynnette Fernández-Cuesta
- Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO), 69007 Lyon, France.
| | - Hans Clevers
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Hubrecht Institute, 3584 CT Utrecht, the Netherlands.
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18
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Nguyen MTN, Rajavuori A, Huhtinen K, Hietanen S, Hynninen J, Oikkonen J, Hautaniemi S. Circulating tumor DNA-based copy-number profiles enable monitoring treatment effects during therapy in high-grade serous carcinoma. Biomed Pharmacother 2023; 168:115630. [PMID: 37806091 DOI: 10.1016/j.biopha.2023.115630] [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: 07/25/2023] [Revised: 09/23/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023] Open
Abstract
Circulating tumor DNA (ctDNA) analysis has emerged as a promising tool for detecting and profiling longitudinal genomics changes in cancer. While copy-number alterations (CNAs) play a major role in cancers, treatment effect monitoring using copy-number profiles has received limited attention as compared to mutations. A major reason for this is the insensitivity of CNA analysis for the real-life tumor-fraction ctDNA samples. We performed copy-number analysis on 152 plasma samples obtained from 29 patients with high-grade serous ovarian cancer (HGSC) using a sequencing panel targeting over 500 genes. Twenty-one patients had temporally matched tissue and plasma sample pairs, which enabled assessing concordance with tissues sequenced with the same panel or whole-genome sequencing and to evaluate sensitivity. Our approach could detect concordant CNA profiles in most plasma samples with as low as 5% tumor content and highly amplified regions in samples with ∼1% of tumor content. Longitudinal profiles showed changes in the CNA profiles in seven out of 11 patients with high tumor-content plasma samples at relapse. These changes included focal acquired or lost copy-numbers, even though most of the genome remained stable. Two patients displayed major copy-number profile changes during therapy. Our analysis revealed ctDNA-detectable subclonal selection resulting from both surgical operations and chemotherapy. Overall, longitudinal ctDNA data showed acquired and diminished CNAs at relapse when compared to pre-treatment samples. These results highlight the importance of genomic profiling during treatment as well as underline the usability of ctDNA.
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Affiliation(s)
- Mai T N Nguyen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00291, Finland
| | - Anna Rajavuori
- Department of Obstetrics and Gynecology, Turku University Hospital, Kiinamyllynkatu 4, Turku 20521, Finland
| | - Kaisa Huhtinen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00291, Finland; Institute of Biomedicine, University of Turku, Kiinamyllynkatu 10, Turku 20014, Finland
| | - Sakari Hietanen
- Department of Obstetrics and Gynecology, Turku University Hospital, Kiinamyllynkatu 4, Turku 20521, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynecology, Turku University Hospital, Kiinamyllynkatu 4, Turku 20521, Finland
| | - Jaana Oikkonen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00291, Finland.
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00291, Finland.
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19
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Leich E, Brodtkorb M, Schmidt T, Altenbuchinger M, Lingjærde OC, Lockmer S, Holte H, Nedeva T, Grieb T, Sander B, Sundström C, Spang R, Kimby E, Rosenwald A. Gene expression and copy number profiling of follicular lymphoma biopsies from patients treated with first-line rituximab without chemotherapy. Leuk Lymphoma 2023; 64:1927-1937. [PMID: 37683053 DOI: 10.1080/10428194.2023.2240462] [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: 11/26/2022] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 09/10/2023]
Abstract
The Nordic Lymphoma Study Group has performed two randomized clinical trials with chemotherapy-free first-line treatment (rituximab +/- interferon) in follicular lymphoma (FL), with 73% of patients alive and 38% without any need of chemotherapy after 10.6 years median follow-up. In order to identify predictive markers, that may also serve as therapeutic targets, gene expression- and copy number profiles were obtained from 97 FL patients using whole genome microarrays. Copy number alterations (CNAs) were identified, e.g. by GISTIC. Cox Lasso Regression and Lasso logistic regression were used to determine molecular features predictive of time to next therapy (TTNT). A few molecular changes were associated with TTNT (e.g. increased expression of INPP5B, gains in 12q23/q24), but were not significant after adjusting for multiple testing. Our findings suggest that there are no strong determinants of patient outcome with respect to GE data and CNAs in FL patients treated with a chemotherapy-free regimen (i.e. rituximab +/- interferon).
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Affiliation(s)
- E Leich
- Institute of Pathology, University of Würzburg, Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | | | - T Schmidt
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - M Altenbuchinger
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
- Department of Medical Bioinformatics, University Medical Center Göttingen, Göttingen, Germany
| | - Ole Christian Lingjærde
- Division of Biomedical Informatics, Department of Computer Science, University of Oslo, Norway
| | - S Lockmer
- Division of Hematology, Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - H Holte
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - T Nedeva
- Institute of Pathology, University of Würzburg, Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - T Grieb
- Institute of Pathology, University of Würzburg, Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - B Sander
- Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden
| | - C Sundström
- Department of Pathology, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - R Spang
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - E Kimby
- Division of Hematology, Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - A Rosenwald
- Institute of Pathology, University of Würzburg, Comprehensive Cancer Center Mainfranken, Würzburg, Germany
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20
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Høland M, Berg KCG, Eilertsen IA, Bjerkehagen B, Kolberg M, Boye K, Lingjærde OC, Guren TK, Mandahl N, van den Berg E, Palmerini E, Smeland S, Picci P, Mertens F, Sveen A, Lothe RA. Transcriptomic subtyping of malignant peripheral nerve sheath tumours highlights immune signatures, genomic profiles, patient survival and therapeutic targets. EBioMedicine 2023; 97:104829. [PMID: 37837931 PMCID: PMC10585232 DOI: 10.1016/j.ebiom.2023.104829] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 09/26/2023] [Accepted: 09/26/2023] [Indexed: 10/16/2023] Open
Abstract
BACKGROUND Malignant peripheral nerve sheath tumour (MPNST) is an aggressive orphan disease commonly affecting adolescents or young adults. Current knowledge of molecular tumour biology has been insufficient for development of rational treatment strategies. We aimed to discover molecular subtypes of potential clinical relevance. METHODS Fresh frozen samples of MPNSTs (n = 94) and benign neurofibromas (n = 28) from 115 patients in a European multicentre study were analysed by DNA copy number and/or transcriptomic profiling. Unsupervised transcriptomic subtyping was performed and the subtypes characterized for genomic aberrations, clinicopathological associations and patient survival. FINDINGS MPNSTs were classified into two transcriptomic subtypes defined primarily by immune signatures and proliferative processes. "Immune active" MPNSTs (44%) had sustained immune signals relative to neurofibromas, were more frequently low-grade (P = 0.01) and had favourable prognostic associations in a multivariable model of disease-specific survival with clinicopathological factors (hazard ratio 0.25, P = 0.003). "Immune deficient" MPNSTs were more aggressive and characterized by proliferative signatures, high genomic complexity, aberrant TP53 and PRC2 loss, as well as high relative expression of several potential actionable targets (EGFR, ERBB2, EZH2, KIF11, PLK1, RRM2). Integrated gene-wise analyses suggested a DNA copy number-basis for proliferative transcriptomic signatures in particular, and the tumour copy number burden further stratified the transcriptomic subtypes according to patient prognosis (P < 0.01). INTERPRETATION Approximately half of MPNSTs belong to an "immune deficient" transcriptomic subtype associated with an aggressive disease course, PRC2 loss and expression of several potential therapeutic targets, providing a rationale for molecularly-guided intervention trials. FUNDING Research grants from non-profit organizations, as stated in the Acknowledgements.
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Affiliation(s)
- Maren Høland
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kaja C G Berg
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Ina A Eilertsen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Bodil Bjerkehagen
- Institute for Clinical Medicine, University of Oslo, Oslo, Norway; Division of Laboratory Medicine, Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Matthias Kolberg
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Kjetil Boye
- Division of Cancer Medicine, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Ole Christian Lingjærde
- Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Tormod K Guren
- Division of Cancer Medicine, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Nils Mandahl
- Department of Clinical Genetics, University and Regional Laboratories, Lund University, Lund, Sweden
| | - Eva van den Berg
- Department of Genetics, The University Medical Center Groningen, the Netherlands
| | - Emanuela Palmerini
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Sigbjørn Smeland
- Institute for Clinical Medicine, University of Oslo, Oslo, Norway; Division of Cancer Medicine, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Piero Picci
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Fredrik Mertens
- Department of Clinical Genetics, University and Regional Laboratories, Lund University, Lund, Sweden
| | - Anita Sveen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ragnhild A Lothe
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute for Clinical Medicine, University of Oslo, Oslo, Norway.
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21
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Cotton JL, Estrada Diez J, Sagar V, Chen J, Piquet M, Alford J, Song Y, Li X, Riester M, DiMare MT, Schumacher K, Boulay G, Sprouffske K, Fan L, Burks T, Mansur L, Wagner J, Bhang HEC, Iartchouk O, Reece-Hoyes J, Morris EJ, Hammerman PS, Ruddy DA, Korn JM, Engelman JA, Niederst MJ. Expressed Barcoding Enables High-Resolution Tracking of the Evolution of Drug Tolerance. Cancer Res 2023; 83:3611-3623. [PMID: 37603596 DOI: 10.1158/0008-5472.can-23-0144] [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: 01/24/2023] [Revised: 05/11/2023] [Accepted: 08/15/2023] [Indexed: 08/23/2023]
Abstract
For a majority of patients with non-small cell lung cancer with EGFR mutations, treatment with EGFR inhibitors (EGFRi) induces a clinical response. Despite this initial reduction in tumor size, residual disease persists that leads to disease relapse. Elucidating the preexisting biological differences between sensitive cells and surviving drug-tolerant persister cells and deciphering how drug-tolerant cells evolve in response to treatment could help identify strategies to improve the efficacy of EGFRi. In this study, we tracked the origins and clonal evolution of drug-tolerant cells at a high resolution by using an expressed barcoding system coupled with single-cell RNA sequencing. This platform enabled longitudinal profiling of gene expression and drug sensitivity in response to EGFRi across a large number of clones. Drug-tolerant cells had higher expression of key survival pathways such as YAP and EMT at baseline and could also differentially adapt their gene expression following EGFRi treatment compared with sensitive cells. In addition, drug combinations targeting common downstream components (MAPK) or orthogonal factors (chemotherapy) showed greater efficacy than EGFRi alone, which is attributable to broader targeting of the heterogeneous EGFRi-tolerance mechanisms present in tumors. Overall, this approach facilitates thorough examination of clonal evolution in response to therapy that could inform the development of improved diagnostic approaches and treatment strategies for targeting drug-tolerant cells. SIGNIFICANCE The evolution and heterogeneity of EGFR inhibitor tolerance are identified in a large number of clones at enhanced cellular and temporal resolution using an expressed barcode technology coupled with single-cell RNA sequencing.
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Affiliation(s)
- Jennifer L Cotton
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Javier Estrada Diez
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Vivek Sagar
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Julie Chen
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Michelle Piquet
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - John Alford
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Youngchul Song
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Xiaoyan Li
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Markus Riester
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Matthew T DiMare
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Katja Schumacher
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Gaylor Boulay
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Kathleen Sprouffske
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Lin Fan
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Tyler Burks
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Leandra Mansur
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Joel Wagner
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Hyo-Eun C Bhang
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Oleg Iartchouk
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - John Reece-Hoyes
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Erick J Morris
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Peter S Hammerman
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - David A Ruddy
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Joshua M Korn
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Jeffrey A Engelman
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Matthew J Niederst
- Oncology Disease Area, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
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22
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Yi D, Nam JW, Jeong H. Toward the functional interpretation of somatic structural variations: bulk- and single-cell approaches. Brief Bioinform 2023; 24:bbad297. [PMID: 37587831 PMCID: PMC10516374 DOI: 10.1093/bib/bbad297] [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: 05/10/2023] [Revised: 07/05/2023] [Accepted: 07/23/2023] [Indexed: 08/18/2023] Open
Abstract
Structural variants (SVs) are genomic rearrangements that can take many different forms such as copy number alterations, inversions and translocations. During cell development and aging, somatic SVs accumulate in the genome with potentially neutral, deleterious or pathological effects. Generation of somatic SVs is a key mutational process in cancer development and progression. Despite their importance, the detection of somatic SVs is challenging, making them less studied than somatic single-nucleotide variants. In this review, we summarize recent advances in whole-genome sequencing (WGS)-based approaches for detecting somatic SVs at the tissue and single-cell levels and discuss their advantages and limitations. First, we describe the state-of-the-art computational algorithms for somatic SV calling using bulk WGS data and compare the performance of somatic SV detectors in the presence or absence of a matched-normal control. We then discuss the unique features of cutting-edge single-cell-based techniques for analyzing somatic SVs. The advantages and disadvantages of bulk and single-cell approaches are highlighted, along with a discussion of their sensitivity to copy-neutral SVs, usefulness for functional inferences and experimental and computational costs. Finally, computational approaches for linking somatic SVs to their functional readouts, such as those obtained from single-cell transcriptome and epigenome analyses, are illustrated, with a discussion of the promise of these approaches in health and diseases.
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Affiliation(s)
- Dohun Yi
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Jin-Wu Nam
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Bio-BigData Center, Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Hanyang Institute of Advanced BioConvergence, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Hyobin Jeong
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Bio-BigData Center, Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Hanyang Institute of Advanced BioConvergence, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
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23
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Elangovan A, Bossart EA, Basudan A, Tasdemir N, Shah OS, Ding K, Meier C, Heim T, Neumann C, Attaran S, Brown L, Hooda J, Miller L, Liu T, Puhalla SL, Gurda G, Lucas PC, McAuliffe PF, Atkinson JM, Lee AV, Oesterreich S. WCRC-25: A novel luminal Invasive Lobular Carcinoma cell line model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.15.558023. [PMID: 37745587 PMCID: PMC10516031 DOI: 10.1101/2023.09.15.558023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Breast cancer is categorized by the molecular and histologic presentation of the tumor, with the major histologic subtypes being No Special Type (NST) and Invasive Lobular Carcinoma (ILC). ILC are characterized by growth in a single file discohesive manner with stromal infiltration attributed to their hallmark pathognomonic loss of E-cadherin ( CDH1 ). Few ILC cell line models are available to researchers. Here we report the successful establishment and characterization of a novel ILC cell line, WCRC-25, from a metastatic pleural effusion from a postmenopausal Caucasian woman with metastatic ILC. WCRC-25 is an ER-negative luminal epithelial ILC cell line with both luminal and Her2-like features. It exhibits anchorage independent growth and haptotactic migration towards Collagen I. Sequencing revealed a CDH1 Q706* truncating mutation, together with mutations in FOXA1, CTCF, BRCA2 and TP53 , which were also seen in a series of metastatic lesions from the patient. Copy number analyses revealed amplification and deletion of genes frequently altered in ILC while optical genome mapping revealed novel structural rearrangements. RNA-seq analysis comparing the primary tumor, metastases and the cell line revealed signatures for cell cycle progression and receptor tyrosine kinase signaling. To assess targetability, we treated WCRC-25 with AZD5363 and Alpelisib confirming WCRC-25 as susceptible to PI3K/AKT signaling inhibition as predicted by our RNA sequencing analysis. In conclusion, we report WCRC-25 as a novel ILC cell line with promise as a valuable research tool to advance our understanding of ILC and its therapeutic vulnerabilities. Financial support The work was in part supported by a Susan G Komen Leadership Grant to SO (SAC160073) and NCI R01 CA252378 (SO/AVL). AVL and SO are Komen Scholars, Hillman Foundation Fellows and supported by BCRF. This project used the UPMC Hillman Cancer Center and Tissue and Research Pathology/Pitt Biospecimen Core shared resource which is supported in part by award P30CA047904. This research was also supported in part by the University of Pittsburgh Center for Research Computing, RRID:SCR_022735, through the resources provided. Specifically, this work used the HTC cluster, which is supported by NIH award number S10OD028483. Finally, partial support was provided by the Magee-Womens Research Institute and Foundation, The Shear Family Foundation, and The Metastatic Breast Cancer Network.
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24
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Middelkamp S, Manders F, Peci F, van Roosmalen MJ, González DM, Bertrums EJ, van der Werf I, Derks LL, Groenen NM, Verheul M, Trabut L, Pleguezuelos-Manzano C, Brandsma AM, Antoniou E, Reinhardt D, Bierings M, Belderbos ME, van Boxtel R. Comprehensive single-cell genome analysis at nucleotide resolution using the PTA Analysis Toolbox. CELL GENOMICS 2023; 3:100389. [PMID: 37719152 PMCID: PMC10504672 DOI: 10.1016/j.xgen.2023.100389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/30/2023] [Accepted: 08/02/2023] [Indexed: 09/19/2023]
Abstract
Detection of somatic mutations in single cells has been severely hampered by technical limitations of whole-genome amplification. Novel technologies including primary template-directed amplification (PTA) significantly improved the accuracy of single-cell whole-genome sequencing (WGS) but still generate hundreds of artifacts per amplification reaction. We developed a comprehensive bioinformatic workflow, called the PTA Analysis Toolbox (PTATO), to accurately detect single base substitutions, insertions-deletions (indels), and structural variants in PTA-based WGS data. PTATO includes a machine learning approach and filtering based on recurrence to distinguish PTA artifacts from true mutations with high sensitivity (up to 90%), outperforming existing bioinformatic approaches. Using PTATO, we demonstrate that hematopoietic stem cells of patients with Fanconi anemia, which cannot be analyzed using regular WGS, have normal somatic single base substitution burdens but increased numbers of deletions. Our results show that PTATO enables studying somatic mutagenesis in the genomes of single cells with unprecedented sensitivity and accuracy.
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Affiliation(s)
- Sjors Middelkamp
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Freek Manders
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Flavia Peci
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Markus J. van Roosmalen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Diego Montiel González
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Eline J.M. Bertrums
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
- Department of Pediatric Oncology, Erasmus Medical Center – Sophia Children’s Hospital, Rotterdam, the Netherlands
| | - Inge van der Werf
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Lucca L.M. Derks
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Niels M. Groenen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Mark Verheul
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Laurianne Trabut
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Cayetano Pleguezuelos-Manzano
- Oncode Institute, Utrecht, the Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, Utrecht, the Netherlands
| | - Arianne M. Brandsma
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Evangelia Antoniou
- Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen, Germany
| | - Dirk Reinhardt
- Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen, Germany
| | - Marc Bierings
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
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25
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Stammnitz MR, Gori K, Kwon YM, Harry E, Martin FJ, Billis K, Cheng Y, Baez-Ortega A, Chow W, Comte S, Eggertsson H, Fox S, Hamede R, Jones M, Lazenby B, Peck S, Pye R, Quail MA, Swift K, Wang J, Wood J, Howe K, Stratton MR, Ning Z, Murchison EP. The evolution of two transmissible cancers in Tasmanian devils. Science 2023; 380:283-293. [PMID: 37079675 DOI: 10.1126/science.abq6453] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Tasmanian devils have spawned two transmissible cancer lineages, named devil facial tumor 1 (DFT1) and devil facial tumor 2 (DFT2). We investigated the genetic diversity and evolution of these clones by analyzing 78 DFT1 and 41 DFT2 genomes relative to a newly assembled, chromosome-level reference. Time-resolved phylogenetic trees reveal that DFT1 first emerged in 1986 (1982 to 1989) and DFT2 in 2011 (2009 to 2012). Subclone analysis documents transmission of heterogeneous cell populations. DFT2 has faster mutation rates than DFT1 across all variant classes, including substitutions, indels, rearrangements, transposable element insertions, and copy number alterations, and we identify a hypermutated DFT1 lineage with defective DNA mismatch repair. Several loci show plausible evidence of positive selection in DFT1 or DFT2, including loss of chromosome Y and inactivation of MGA, but none are common to both cancers. This study reveals the parallel long-term evolution of two transmissible cancers inhabiting a common niche in Tasmanian devils.
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Affiliation(s)
- Maximilian R Stammnitz
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Kevin Gori
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Young Mi Kwon
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Edward Harry
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yuanyuan Cheng
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - Adrian Baez-Ortega
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - William Chow
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Sebastien Comte
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- Vertebrate Pest Research Unit, NSW Department of Primary Industries, Orange, NSW, Australia
| | | | - Samantha Fox
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
- Toledo Zoo, Toledo, OH, USA
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- CANCEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier, France
| | - Menna Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Billie Lazenby
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Sarah Peck
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Ruth Pye
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Michael A Quail
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kate Swift
- Mount Pleasant Laboratories, Tasmanian Department of Natural Resources and Environment, Prospect, TAS, Australia
| | - Jinhong Wang
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Wood
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Michael R Stratton
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Zemin Ning
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Elizabeth P Murchison
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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26
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Kommoss FKF, Chong AS, Chong AL, Pfaff E, Jones DTW, Hiemcke-Jiwa LS, Kester LA, Flucke U, Gessler M, Schrimpf D, Sahm F, Clarke BA, Stewart CJR, Wang Y, Gilks CB, Kommoss F, Huntsman DG, Schüller U, Koelsche C, Glenn McCluggage W, von Deimling A, Foulkes WD. Genomic characterization of DICER1-associated neoplasms uncovers molecular classes. Nat Commun 2023; 14:1677. [PMID: 36966138 PMCID: PMC10039902 DOI: 10.1038/s41467-023-37092-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/28/2023] [Indexed: 03/27/2023] Open
Abstract
DICER1 syndrome is a tumor predisposition syndrome that is associated with up to 30 different neoplastic lesions, usually affecting children and adolescents. Here we identify a group of mesenchymal tumors which is highly associated with DICER1 syndrome, and molecularly distinct from other DICER1-associated tumors. This group of DICER1-associated mesenchymal tumors encompasses multiple well-established clinicopathological tumor entities and can be further divided into three clinically meaningful classes designated "low-grade mesenchymal tumor with DICER1 alteration" (LGMT DICER1), "sarcoma with DICER1 alteration" (SARC DICER1), and primary intracranial sarcoma with DICER1 alteration (PIS DICER1). Our study not only provides a combined approach to classify DICER1-associated neoplasms for improved clinical management but also suggests a role for global hypomethylation and other recurrent molecular events in sarcomatous differentiation in mesenchymal tumors with DICER1 alteration. Our results will facilitate future investigations into prognostication and therapeutic approaches for affected patients.
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Affiliation(s)
- Felix K F Kommoss
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anne-Sophie Chong
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Axis, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
- Molecular Mechanisms and Experimental Therapy in Oncology Program (Oncobell), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Avinguda de la Granvia de L'Hospitalet, Barcelona, Spain
| | - Anne-Laure Chong
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Axis, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Elke Pfaff
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology and Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - David T W Jones
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laura S Hiemcke-Jiwa
- Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Lennart A Kester
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Uta Flucke
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Manfred Gessler
- Theodor-Boveri-Institute/Biocenter, Developmental Biochemistry, Würzburg University & Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - Daniel Schrimpf
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Felix Sahm
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Blaise A Clarke
- Department of Pathology, University Health Network, Toronto, ON, Canada
| | - Colin J R Stewart
- Department of Anatomical Pathology, King Edward Memorial Hospital, Subiaco, WA, Australia
- School for Women's and Infants' Health, University of Western Australia, Perth, WA, Australia
| | - Yemin Wang
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - C Blake Gilks
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Friedrich Kommoss
- Institute of Pathology, Medizin Campus Bodensee, Friedrichshafen, Germany
| | - David G Huntsman
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Christian Koelsche
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - W Glenn McCluggage
- Department of Pathology, Belfast Health and Social Care Trust, Belfast, UK
| | - Andreas von Deimling
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - William D Foulkes
- Department of Human Genetics, McGill University, Montreal, QC, Canada.
- Cancer Axis, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
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27
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Kommoss FKF, Mar LM, Howitt BE, Hanley K, Turashvilli G, Buslei R, Irving JA, Dickson BC, Koelsche C, Sinn HP, Schirmacher P, von Deimling A, Chiang S, McCluggage WG, Croce S, Stewart CJR, Lee CH. High-Grade Endometrial Stromal Sarcomas With YWHAE::NUTM2 Gene Fusion Exhibit Recurrent CDKN2A Alterations and Absence of p16 Staining is a Poor Prognostic Marker. Mod Pathol 2023; 36:100044. [PMID: 36788095 DOI: 10.1016/j.modpat.2022.100044] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/14/2022] [Accepted: 10/18/2022] [Indexed: 01/11/2023]
Abstract
High-grade endometrial stromal sarcomas (HGESSs) are aggressive uterine tumors harboring oncogenic fusion proteins. We performed a molecular study of 36 HGESSs with YWHAE::NUTM2 gene fusion, assessing co-occurring genetic events, and showed that these tumors frequently harbor recurrent events involving the CDKN2A locus on chromosome 9p. Using array-based copy number profiling and CDKN2A fluorescence in situ hybridization, we identified homozygous and hemizygous deletions of CDKN2A in 18% and 14% of tumors (n = 22 analyzed), respectively. While all YWHAE-rearranged HGESSs with retained disomy for CDKN2A were immunohistochemically positive for p16INK4 (p16), all tumors with homozygous deletion of CDKN2A showed complete absence of p16 staining. Of the 2 tumors with a hemizygous deletion of CDKN2A, 1 showed diffuse and strong p16 positivity, whereas the other showed complete absence of staining. In the p16-negative case, we did not find intragenic mutations or DNA promoter methylation to explain the p16 protein loss, implicating other mechanisms in the regulation of protein expression. In our cohort, subclonal or complete absence of p16 staining was associated with worse overall survival compared with positive p16 staining (1-year overall survival: 28.6% vs 90.7%, respectively; n = 32; P < .001), with all 7 patients in the p16-negative group having succumbed to their disease within 2 years of diagnosis. Our results suggested CDKN2A alterations as a cooperative driver of tumorigenesis in a subset of HGESSs with the YWHAE::NUTM2 gene fusion and showed p16 to be a potential prognostic marker.
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Affiliation(s)
- Felix K F Kommoss
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Lisa-Marie Mar
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Brooke E Howitt
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Krisztina Hanley
- Department of Pathology and Laboratory Medicine, Emory University Hospital, Atlanta, Georgia
| | - Gulisa Turashvilli
- Department of Pathology and Laboratory Medicine, Emory University Hospital, Atlanta, Georgia
| | - Rolf Buslei
- Institute of Pathology, Sozialstiftung Bamberg, Bamberg, Germany
| | - Julie A Irving
- Department of Laboratory Medicine, Pathology, and Medical Genetics, Royal Jubilee Hospital, Victoria, British Columbia
| | - Brendan C Dickson
- Department of Pathology and Laboratory Medicine, Sinai Health System and University of Toronto, Toronto, Ontario, Canada
| | - Christian Koelsche
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hans-Peter Sinn
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Peter Schirmacher
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas von Deimling
- Department of Neuropathology, Heidelberg University Hospital, CCU Neuropathology DKFZ, Heidelberg, Germany
| | - Sarah Chiang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - W Glenn McCluggage
- Department of Pathology, Belfast Health, and Social Care Trust, Belfast, United Kingdom
| | - Sabrina Croce
- Institute Bergonié, Comprehensive Cancer Center, Bordeaux, France
| | - Colin J R Stewart
- Department of Histopathology, King Edward Memorial Hospital and School for Women's and Infants' Health, University of Western Australia, Perth, Western Australia, Australia
| | - Cheng-Han Lee
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
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28
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Gao T, Soldatov R, Sarkar H, Kurkiewicz A, Biederstedt E, Loh PR, Kharchenko PV. Haplotype-aware analysis of somatic copy number variations from single-cell transcriptomes. Nat Biotechnol 2023; 41:417-426. [PMID: 36163550 PMCID: PMC10289836 DOI: 10.1038/s41587-022-01468-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 08/11/2022] [Indexed: 11/09/2022]
Abstract
Genome instability and aberrant alterations of transcriptional programs both play important roles in cancer. Single-cell RNA sequencing (scRNA-seq) has the potential to investigate both genetic and nongenetic sources of tumor heterogeneity in a single assay. Here we present a computational method, Numbat, that integrates haplotype information obtained from population-based phasing with allele and expression signals to enhance detection of copy number variations from scRNA-seq. Numbat exploits the evolutionary relationships between subclones to iteratively infer single-cell copy number profiles and tumor clonal phylogeny. Analysis of 22 tumor samples, including multiple myeloma, gastric, breast and thyroid cancers, shows that Numbat can reconstruct the tumor copy number profile and precisely identify malignant cells in the tumor microenvironment. We identify genetic subpopulations with transcriptional signatures relevant to tumor progression and therapy resistance. Numbat requires neither sample-matched DNA data nor a priori genotyping, and is applicable to a wide range of experimental settings and cancer types.
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Affiliation(s)
- Teng Gao
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ruslan Soldatov
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Hirak Sarkar
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Adam Kurkiewicz
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Evan Biederstedt
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter V Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
- Altos Labs, San Diego, CA, USA.
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29
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Garrido Ruiz PA, González-Tablas M, Pasco Peña A, Zelaya Huerta MV, Ortiz J, Otero Á, Corchete LA, Ludeña MD, Caballero Martínez MC, Córdoba Iturriagagoitia A, Fernández IC, González-Carreró Fojón J, Hernández Laín A, Orfao A, Tabernero MD. Clinical, Histopathologic and Genetic Features of Rhabdoid Meningiomas. Int J Mol Sci 2023; 24:ijms24021116. [PMID: 36674634 PMCID: PMC9865044 DOI: 10.3390/ijms24021116] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/29/2022] [Accepted: 01/03/2023] [Indexed: 01/11/2023] Open
Abstract
Rhabdoid meningiomas (RM) shows heterogeneous histological findings, and a wide variety of chromosomal copy number alterations (CNA) are associated with an unpredictable course of the disease. In this study, we analyzed a series of 305 RM samples from patients previously reported in the literature and 33 samples from 23 patients studied in our laboratory. Monosomy 22-involving the minimal but most common recurrent region loss of the 22q11.23 chromosomal region was the most observed chromosomal alteration, followed by losses of chromosomes 14, 1, 6, and 19, polysomies of chromosomes 17, 1q, and 20, and gains of 13q14.2, 10p13, and 21q21.2 chromosomal regions. Based on their CNA profile, RM could be classified into two genetic subgroups with distinct clinicopathologic features characterized by the presence of (1) chromosomal losses only and (2) combined losses and gains of several chromosomes. The latter displays a higher frequency of WHO grade 3 tumors and poorer clinical outcomes.
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Affiliation(s)
- Patricia Alejandra Garrido Ruiz
- Neurosurgery Service of the University Hospital of Salamanca, Surgery Department, University of Salamancaca (USAL), Paseo de la Transición Española, 37007 Salamanca, Spain
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
| | - María González-Tablas
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
- Centre for Cancer Research (CIC-IBMCC; CSIC/USAL; IBSAL) and Department of Medicine, Campus Miguel de Unamuno, University of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Networking Centre on Cancer—CIBERONC (CB16/12/00400), Institute of Health Carlos III, C. Sinesio Delgado, 4, 28029 Madrid, Spain
| | - Alejandro Pasco Peña
- Pathology Service of the University Hospital of Pamplona, Universidad Pública de Navarra, C. de Irunlarrea, 3, 31008 Navarra, Spain
| | - María Victoria Zelaya Huerta
- Pathology Service of the University Hospital of Pamplona, Universidad Pública de Navarra, C. de Irunlarrea, 3, 31008 Navarra, Spain
| | - Javier Ortiz
- Pathology Service of the University Hospital of Salamanca, Cell Biology and Pathology Department, Paseo de la Transición Española, 37007 Salamanca, Spain
| | - Álvaro Otero
- Neurosurgery Service of the University Hospital of Salamanca, Surgery Department, University of Salamancaca (USAL), Paseo de la Transición Española, 37007 Salamanca, Spain
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
| | - Luis Antonio Corchete
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
| | - María Dolores Ludeña
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
- Pathology Service of the University Hospital of Salamanca, Cell Biology and Pathology Department, Paseo de la Transición Española, 37007 Salamanca, Spain
| | | | - Alicia Córdoba Iturriagagoitia
- Pathology Service of the University Hospital of Pamplona, Universidad Pública de Navarra, C. de Irunlarrea, 3, 31008 Navarra, Spain
| | | | | | - Aurelio Hernández Laín
- Pathology Service of the University Hospital 12 Octubre, Universidad Complutense, Av. de Córdoba, s/n, 28041 Madrid, Spain
| | - Alberto Orfao
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
- Centre for Cancer Research (CIC-IBMCC; CSIC/USAL; IBSAL) and Department of Medicine, Campus Miguel de Unamuno, University of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Networking Centre on Cancer—CIBERONC (CB16/12/00400), Institute of Health Carlos III, C. Sinesio Delgado, 4, 28029 Madrid, Spain
| | - María Dolores Tabernero
- Institute for Biomedical Research of Salamanca, IBSAL University Hospital of Salamanca, Paseo de San Vicente, 58-182, 10ªPlanta, 37007 Salamanca, Spain
- Centre for Cancer Research (CIC-IBMCC; CSIC/USAL; IBSAL) and Department of Medicine, Campus Miguel de Unamuno, University of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Networking Centre on Cancer—CIBERONC (CB16/12/00400), Institute of Health Carlos III, C. Sinesio Delgado, 4, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-923-29-48-11; Fax: +34-923-29-46-24
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30
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Yu L, Wang X, Mu Q, Tam SST, Loi DSC, Chan AKY, Poon WS, Ng HK, Chan DTM, Wang J, Wu AR. scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors. SCIENCE ADVANCES 2023; 9:eabp8901. [PMID: 36598983 PMCID: PMC9812385 DOI: 10.1126/sciadv.abp8901] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Single-cell multi-omics can provide a unique perspective on tumor cellular heterogeneity. Most previous single-cell whole-genome RNA sequencing (scWGS-RNA-seq) methods demonstrate utility with intact cells from fresh samples. Among them, many are not applicable to frozen samples that cannot produce intact single-cell suspensions. We have developed scONE-seq, a versatile scWGS-RNA-seq method that amplifies single-cell DNA and RNA without separating them from each other and hence is compatible with frozen biobanked samples. We benchmarked scONE-seq against existing methods using fresh and frozen samples to demonstrate its performance in various aspects. We identified a unique transcriptionally normal-like tumor clone by analyzing a 2-year frozen astrocytoma sample, demonstrating that performing single-cell multi-omics interrogation on biobanked tissue by scONE-seq could enable previously unidentified discoveries in tumor biology.
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Affiliation(s)
- Lei Yu
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
| | - Xinlei Wang
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
| | - Quanhua Mu
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
| | - Sindy Sing Ting Tam
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
| | - Danson Shek Chun Loi
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
| | - Aden K. Y. Chan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong S.A.R., China
| | - Wai Sang Poon
- Department of Surgery, The Chinese University of Hong Kong, Hong Kong S.A.R., China
| | - Ho-Keung Ng
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong S.A.R., China
| | - Danny T. M. Chan
- Department of Surgery, The Chinese University of Hong Kong, Hong Kong S.A.R., China
| | - Jiguang Wang
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong S.A.R., China
| | - Angela Ruohao Wu
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Hong Kong Branch of the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Center for Aging Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R., China
- Corresponding author.
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31
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Astaras C, De Vito C, Chaskar P, Bornand A, Khanfir K, Sciarra A, Letovanec I, Corro C, Dietrich PY, Tsantoulis P, Koessler T. The first comprehensive genomic characterization of rectal squamous cell carcinoma. J Gastroenterol 2023; 58:125-134. [PMID: 36357817 PMCID: PMC9876866 DOI: 10.1007/s00535-022-01937-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/31/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Rectal cancers represent 35% of colorectal cancers; 90% are adenocarcinomas, while squamous cell carcinoma accounts for 0.3% of them. Given its rarity, little is known concerning its pathogenesis, molecular profile and therapeutic management. The current treatment trend is to treat rectal squamous cell carcinoma by analogy to anal squamous cell carcinoma with definitive chemo-radiotherapy, setting aside surgery in case of local recurrence. METHODS We performed an in-depth genomic analysis (next-generation sequencing, copy number variation, and human papilloma virus characterization) on 10 rectal squamous cell carcinoma samples and compared them in silico to those of anal squamous cell carcinoma and rectal adenocarcinoma. RESULTS Rectal squamous cell carcinoma shows 100% HPV positivity. It has a mutational (PIK3CA, PTEN, TP53, ATM, BCL6, SOX2) and copy number variation profile (3p, 10p, 10q, 16q deletion and 1q, 3q, 5p, 8q, 20p gain) similar to anal squamous cell carcinoma. PI3K/Akt/mTOR is the most commonly affected signaling pathway similarly to anal squamous cell carcinoma. Most commonly gained or lost genes seen in rectal adenocarcinoma (FLT3, CDX2, GNAS, BCL2, SMAD4, MALT1) are not found in rectal squamous cell carcinoma. CONCLUSION This study presents the first comprehensive genomic characterization of rectal squamous cell carcinoma. We confirm the existence of this rare histology and its molecular similarity with anal squamous cell carcinoma. This molecular proximity confirms the adequacy of therapeutic management based on histology and not localization, suggesting that rectal squamous cell carcinoma should be treated like anal squamous cell carcinoma and not as a rectal adenocarcinoma.
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Affiliation(s)
- Christoforos Astaras
- grid.150338.c0000 0001 0721 9812Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland
| | - Claudio De Vito
- grid.150338.c0000 0001 0721 9812Pathology Department, Geneva University Hospitals, Geneva, Switzerland
| | - Prasad Chaskar
- grid.150338.c0000 0001 0721 9812Pathology Department, Geneva University Hospitals, Geneva, Switzerland
| | - Aurelie Bornand
- grid.150338.c0000 0001 0721 9812Pathology Department, Geneva University Hospitals, Geneva, Switzerland
| | - Kaouthar Khanfir
- grid.418149.10000 0000 8631 6364Radiation Oncology Department, Valais Hospital, Sion, Switzerland
| | - Amedeo Sciarra
- grid.418149.10000 0000 8631 6364Histopathology, Central Institute, Valais Hospital, Sion, Switzerland
| | - Igor Letovanec
- grid.418149.10000 0000 8631 6364Histopathology, Central Institute, Valais Hospital, Sion, Switzerland
| | - Claudia Corro
- grid.150338.c0000 0001 0721 9812Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland ,grid.511014.0Swiss Cancer Center Léman, Lausanne, Geneva Switzerland ,grid.8591.50000 0001 2322 4988Translational Research Center in Onco-Hematology, Department of Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland
| | - Pierre-Yves Dietrich
- grid.150338.c0000 0001 0721 9812Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland ,grid.511014.0Swiss Cancer Center Léman, Lausanne, Geneva Switzerland ,grid.8591.50000 0001 2322 4988Translational Research Center in Onco-Hematology, Department of Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland
| | - Petros Tsantoulis
- grid.150338.c0000 0001 0721 9812Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Translational Research Center in Onco-Hematology, Department of Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland
| | - Thibaud Koessler
- Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205, Geneva, Switzerland. .,Swiss Cancer Center Léman, Lausanne, Geneva, Switzerland.
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Heide T, Househam J, Cresswell GD, Spiteri I, Lynn C, Mossner M, Kimberley C, Fernandez-Mateos J, Chen B, Zapata L, James C, Barozzi I, Chkhaidze K, Nichol D, Gunasri V, Berner A, Schmidt M, Lakatos E, Baker AM, Costa H, Mitchinson M, Piazza R, Jansen M, Caravagna G, Ramazzotti D, Shibata D, Bridgewater J, Rodriguez-Justo M, Magnani L, Graham TA, Sottoriva A. The co-evolution of the genome and epigenome in colorectal cancer. Nature 2022; 611:733-743. [PMID: 36289335 PMCID: PMC9684080 DOI: 10.1038/s41586-022-05202-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/05/2022] [Indexed: 12/13/2022]
Abstract
Colorectal malignancies are a leading cause of cancer-related death1 and have undergone extensive genomic study2,3. However, DNA mutations alone do not fully explain malignant transformation4-7. Here we investigate the co-evolution of the genome and epigenome of colorectal tumours at single-clone resolution using spatial multi-omic profiling of individual glands. We collected 1,370 samples from 30 primary cancers and 8 concomitant adenomas and generated 1,207 chromatin accessibility profiles, 527 whole genomes and 297 whole transcriptomes. We found positive selection for DNA mutations in chromatin modifier genes and recurrent somatic chromatin accessibility alterations, including in regulatory regions of cancer driver genes that were otherwise devoid of genetic mutations. Genome-wide alterations in accessibility for transcription factor binding involved CTCF, downregulation of interferon and increased accessibility for SOX and HOX transcription factor families, suggesting the involvement of developmental genes during tumourigenesis. Somatic chromatin accessibility alterations were heritable and distinguished adenomas from cancers. Mutational signature analysis showed that the epigenome in turn influences the accumulation of DNA mutations. This study provides a map of genetic and epigenetic tumour heterogeneity, with fundamental implications for understanding colorectal cancer biology.
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Affiliation(s)
- Timon Heide
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Jacob Househam
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - George D Cresswell
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Inmaculada Spiteri
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Claire Lynn
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Maximilian Mossner
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Chris Kimberley
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | - Bingjie Chen
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Chela James
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Iros Barozzi
- Department of Surgery and Cancer, Imperial College London, London, UK
- Centre for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Ketevan Chkhaidze
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Daniel Nichol
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Vinaya Gunasri
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Alison Berner
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Melissa Schmidt
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Eszter Lakatos
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Helena Costa
- Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Miriam Mitchinson
- Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Rocco Piazza
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Marnix Jansen
- Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Giulio Caravagna
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Department of Mathematics and Geosciences, University of Triest, Triest, Italy
| | - Daniele Ramazzotti
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Darryl Shibata
- Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | | | | | - Luca Magnani
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Computational Biology Research Centre, Human Technopole, Milan, Italy.
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Gao GF, Oh C, Saksena G, Deng D, Westlake LC, Hill BA, Reich M, Schumacher SE, Berger AC, Carter SL, Cherniack AD, Meyerson M, Tabak B, Beroukhim R, Getz G. Tangent normalization for somatic copy-number inference in cancer genome analysis. Bioinformatics 2022; 38:4677-4686. [PMID: 36040167 PMCID: PMC9563697 DOI: 10.1093/bioinformatics/btac586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/28/2022] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Somatic copy-number alterations (SCNAs) play an important role in cancer development. Systematic noise in sequencing and array data present a significant challenge to the inference of SCNAs for cancer genome analyses. As part of The Cancer Genome Atlas, the Broad Institute Genome Characterization Center developed the Tangent normalization method to generate copy-number profiles using data from single-nucleotide polymorphism (SNP) arrays and whole-exome sequencing (WES) technologies for over 10 000 pairs of tumors and matched normal samples. Here, we describe the Tangent method, which uses a unique linear combination of normal samples as a reference for each tumor sample, to subtract systematic errors that vary across samples. We also describe a modification of Tangent, called Pseudo-Tangent, which enables denoising through comparisons between tumor profiles when few normal samples are available. RESULTS Tangent normalization substantially increases signal-to-noise ratios (SNRs) compared to conventional normalization methods in both SNP array and WES analyses. Tangent and Pseudo-Tangent normalizations improve the SNR by reducing noise with minimal effect on signal and exceed the contribution of other steps in the analysis such as choice of segmentation algorithm. Tangent and Pseudo-Tangent are broadly applicable and enable more accurate inference of SCNAs from DNA sequencing and array data. AVAILABILITY AND IMPLEMENTATION Tangent is available at https://github.com/broadinstitute/tangent and as a Docker image (https://hub.docker.com/r/broadinstitute/tangent). Tangent is also the normalization method for the copy-number pipeline in Genome Analysis Toolkit 4 (GATK4). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Galen F Gao
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Coyin Oh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gordon Saksena
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Davy Deng
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Barbara A Hill
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Reich
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Division of Medical Genetics, University of California, San Diego, La, Jolla, CA, USA
| | - Steven E Schumacher
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ashton C Berger
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Scott L Carter
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Matthew Meyerson
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Barbara Tabak
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rameen Beroukhim
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gad Getz
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
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van der Linden RJ, Gerritsen JS, Liao M, Widomska J, Pearse RV, White FM, Franke B, Young-Pearse TL, Poelmans G. RNA-binding protein ELAVL4/HuD ameliorates Alzheimer's disease-related molecular changes in human iPSC-derived neurons. Prog Neurobiol 2022; 217:102316. [PMID: 35843356 PMCID: PMC9912016 DOI: 10.1016/j.pneurobio.2022.102316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 05/18/2022] [Accepted: 07/12/2022] [Indexed: 11/26/2022]
Abstract
The RNA binding protein ELAVL4/HuD regulates the translation and splicing of multiple Alzheimer's disease (AD) candidate genes. We generated ELAVL4 knockout (KO) human induced pluripotent stem cell-derived neurons to study the effect that ELAVL4 has on AD-related cellular phenotypes. ELAVL4 KO significantly increased the levels of specific APP isoforms and intracellular phosphorylated tau, molecular changes that are related to the pathological hallmarks of AD. Overexpression of ELAVL4 in wild-type neurons and rescue experiments in ELAVL4 KO cells showed opposite effects and also led to a reduction of the extracellular amyloid-beta (Aβ)42/40 ratio. All these observations were made in familial AD (fAD) and fAD-corrected neurons. To gain insight into the molecular cascades involved in neuronal ELAVL4 signaling, we conducted pathway and upstream regulator analyses of transcriptomic and proteomic data from the generated neurons. These analyses revealed that ELAVL4 affects multiple biological pathways linked to AD, including those involved in synaptic function, as well as gene expression downstream of APP and tau signaling. The analyses also suggest that ELAVL4 expression is regulated by insulin receptor-FOXO1 signaling in neurons. Taken together, ELAVL4 expression ameliorates AD-related molecular changes in neurons and affects multiple synaptic pathways, making it a promising target for novel drug development.
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Affiliation(s)
- Robert J van der Linden
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jacqueline S Gerritsen
- Koch Institute for Integrative Cancer Research; Center for Precision Cancer Medicine; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Meichen Liao
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joanna Widomska
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Richard V Pearse
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Forest M White
- Koch Institute for Integrative Cancer Research; Center for Precision Cancer Medicine; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tracy L Young-Pearse
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Geert Poelmans
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
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35
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Kim YS, Lee M, Chung YJ. Two subtypes of cutaneous melanoma with distinct mutational signatures and clinico-genomic characteristics. Front Genet 2022; 13:987205. [PMID: 36246650 PMCID: PMC9557124 DOI: 10.3389/fgene.2022.987205] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/23/2022] [Indexed: 11/15/2022] Open
Abstract
Background: To decipher mutational signatures and their associations with biological implications in cutaneous melanomas (CMs), including those with a low ultraviolet (UV) signature. Materials and Methods: We applied non-negative matrix factorization (NMF) and unsupervised clustering to the 96-class mutational context of The Cancer Genome Atlas (TCGA) cohort (N = 466) as well as other publicly available datasets (N = 527). To explore the feasibility of mutational signature-based classification using panel sequencing data, independent panel sequencing data were analyzed. Results: NMF decomposition of the TCGA cohort and other publicly available datasets consistently found two mutational signatures: UV (SBS7a/7b dominant) and non-UV (SBS1/5 dominant) signatures. Based on mutational signatures, TCGA CMs were classified into two clusters: UV-high and UV-low. CMs belonging to the UV-low cluster showed significantly worse overall survival and landmark survival at 1-year than those in the UV-high cluster; low or high UV signature remained the most significant prognostic factor in multivariate analysis. The UV-low cluster showed distinct genomic and functional characteristic patterns: low mutation counts, increased proportion of triple wild-type and KIT mutations, high burden of copy number alteration, expression of genes related to keratinocyte differentiation, and low activation of tumor immunity. We verified that UV-high and UV-low clusters can be distinguished by panel sequencing. Conclusion: Our study revealed two mutational signatures of CMs that divide CMs into two clusters with distinct clinico-genomic characteristics. Our results will be helpful for the clinical application of mutational signature-based classification of CMs.
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Affiliation(s)
- Yoon-Seob Kim
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Integrated Research Center for Genome Polymorphism (IRCGP), College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Minho Lee
- Department of Life Science, Dongguk University-Seoul, Goyang-si, Gyeonggi-do, South Korea
| | - Yeun-Jun Chung
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Integrated Research Center for Genome Polymorphism (IRCGP), College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- *Correspondence: Yeun-Jun Chung,
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36
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Cheng P, Zhao X, Katsnelson L, Camacho-Hernandez EM, Mermerian A, Mays JC, Lippman SM, Rosales-Alvarez RE, Moya R, Shwetar J, Grun D, Fenyo D, Davoli T. Proteogenomic analysis of cancer aneuploidy and normal tissues reveals divergent modes of gene regulation across cellular pathways. eLife 2022; 11:75227. [PMID: 36129397 PMCID: PMC9491860 DOI: 10.7554/elife.75227] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 08/15/2022] [Indexed: 12/03/2022] Open
Abstract
How cells control gene expression is a fundamental question. The relative contribution of protein-level and RNA-level regulation to this process remains unclear. Here, we perform a proteogenomic analysis of tumors and untransformed cells containing somatic copy number alterations (SCNAs). By revealing how cells regulate RNA and protein abundances of genes with SCNAs, we provide insights into the rules of gene regulation. Protein complex genes have a strong protein-level regulation while non-complex genes have a strong RNA-level regulation. Notable exceptions are plasma membrane protein complex genes, which show a weak protein-level regulation and a stronger RNA-level regulation. Strikingly, we find a strong negative association between the degree of RNA-level and protein-level regulation across genes and cellular pathways. Moreover, genes participating in the same pathway show a similar degree of RNA- and protein-level regulation. Pathways including translation, splicing, RNA processing, and mitochondrial function show a stronger protein-level regulation while cell adhesion and migration pathways show a stronger RNA-level regulation. These results suggest that the evolution of gene regulation is shaped by functional constraints and that many cellular pathways tend to evolve one predominant mechanism of gene regulation at the protein level or at the RNA level.
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Affiliation(s)
- Pan Cheng
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Xin Zhao
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Lizabeth Katsnelson
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Elaine M Camacho-Hernandez
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Angela Mermerian
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Joseph C Mays
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Scott M Lippman
- Moores Cancer Center, University of California San Diego, La Jolla, United States
| | - Reyna Edith Rosales-Alvarez
- Würzburg Institute of Systems Immunology, Max Planck Research Group at the Julius-Maximilians-Universität Würzburg, Würzburg, Germany.,International Max Planck Research School for Immunobiology, Epigenetics, and Metabolism, Freiburg, Germany.,Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Raquel Moya
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.,Department of Pathology, NYU School of Medicine, New York, United States
| | - Jasmine Shwetar
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Dominic Grun
- Würzburg Institute of Systems Immunology, Max Planck Research Group at the Julius-Maximilians-Universität Würzburg, Würzburg, Germany.,Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research, Würzburg, Germany
| | - David Fenyo
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
| | - Teresa Davoli
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States
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37
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Hui S, Nielsen R. SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances. BMC Bioinformatics 2022; 23:348. [PMID: 35986254 PMCID: PMC9392257 DOI: 10.1186/s12859-022-04890-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 08/11/2022] [Indexed: 11/24/2022] Open
Abstract
Background Single cell whole genome tumor sequencing can yield novel insights into the evolutionary history of somatic copy number alterations. Existing single cell copy number calling methods do not explicitly model the shared evolutionary process of multiple cells, and generally analyze cells independently. Additionally, existing methods for estimating tumor cell phylogenies using copy number profiles are sensitive to profile estimation errors. Results We present SCONCE2, a method for jointly calling copy number alterations and estimating pairwise distances for single cell sequencing data. Using simulations, we show that SCONCE2 has higher accuracy in copy number calling and phylogeny estimation than competing methods. We apply SCONCE2 to previously published single cell sequencing data to illustrate the utility of the method. Conclusions SCONCE2 jointly estimates copy number profiles and a distance metric for inferring tumor phylogenies in single cell whole genome tumor sequencing across multiple cells, enabling deeper understandings of tumor evolution. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04890-w.
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38
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Clonal evolution in primary breast cancers under sequential epirubicin and docetaxel monotherapy. Genome Med 2022; 14:86. [PMID: 35948919 PMCID: PMC9367103 DOI: 10.1186/s13073-022-01090-2] [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: 11/26/2021] [Accepted: 07/13/2022] [Indexed: 11/30/2022] Open
Abstract
Background Subclonal evolution during primary breast cancer treatment is largely unexplored. We aimed to assess the dynamic changes in subclonal composition of treatment-naïve breast cancers during neoadjuvant chemotherapy. Methods We performed whole exome sequencing of tumor biopsies collected before, at therapy switch, and after treatment with sequential epirubicin and docetaxel monotherapy in 51 out of 109 patients with primary breast cancer, who were included in a prospectively registered, neoadjuvant single-arm phase II trial. Results There was a profound and differential redistribution of subclones during epirubicin and docetaxel treatment, regardless of therapy response. While truncal mutations and main subclones persisted, smaller subclones frequently appeared or disappeared. Reassessment of raw data, beyond formal mutation calling, indicated that the majority of subclones seemingly appearing during treatment were in fact present in pretreatment breast cancers, below conventional detection limits. Likewise, subclones which seemingly disappeared were still present, below detection limits, in most cases where tumor tissue remained. Tumor mutational burden (TMB) dropped during neoadjuvant therapy, and copy number analysis demonstrated specific genomic regions to be systematically lost or gained for each of the two chemotherapeutics. Conclusions Sequential epirubicin and docetaxel monotherapy caused profound redistribution of smaller subclones in primary breast cancer, while early truncal mutations and major subclones generally persisted through treatment. Trial registration ClinicalTrials.gov, NCT00496795, registered on July 4, 2007. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01090-2.
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Gil Vazquez E, Nasreddin N, Valbuena GN, Mulholland EJ, Belnoue-Davis HL, Eggington HR, Schenck RO, Wouters VM, Wirapati P, Gilroy K, Lannagan TR, Flanagan DJ, Najumudeen AK, Omwenga S, McCorry AM, Easton A, Koelzer VH, East JE, Morton D, Trusolino L, Maughan T, Campbell AD, Loughrey MB, Dunne PD, Tsantoulis P, Huels DJ, Tejpar S, Sansom OJ, Leedham SJ. Dynamic and adaptive cancer stem cell population admixture in colorectal neoplasia. Cell Stem Cell 2022; 29:1213-1228.e8. [PMID: 35931031 PMCID: PMC9592560 DOI: 10.1016/j.stem.2022.07.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/01/2022] [Accepted: 07/19/2022] [Indexed: 12/13/2022]
Abstract
Intestinal homeostasis is underpinned by LGR5+ve crypt-base columnar stem cells (CBCs), but following injury, dedifferentiation results in the emergence of LGR5-ve regenerative stem cell populations (RSCs), characterized by fetal transcriptional profiles. Neoplasia hijacks regenerative signaling, so we assessed the distribution of CBCs and RSCs in mouse and human intestinal tumors. Using combined molecular-morphological analysis, we demonstrate variable expression of stem cell markers across a range of lesions. The degree of CBC-RSC admixture was associated with both epithelial mutation and microenvironmental signaling disruption and could be mapped across disease molecular subtypes. The CBC-RSC equilibrium was adaptive, with a dynamic response to acute selective pressure, and adaptability was associated with chemoresistance. We propose a fitness landscape model where individual tumors have equilibrated stem cell population distributions along a CBC-RSC phenotypic axis. Cellular plasticity is represented by position shift along this axis and is influenced by cell-intrinsic, extrinsic, and therapeutic selective pressures.
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Affiliation(s)
- Ester Gil Vazquez
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Nadia Nasreddin
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Gabriel N. Valbuena
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Eoghan J. Mulholland
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | | | - Holly R. Eggington
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Ryan O. Schenck
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Valérie M. Wouters
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam University Medical Centers, Meibergdreef 9, 1105 Amsterdam, the Netherlands,Oncode Institute, Meibergdreef 9, 1105 Amsterdam, the Netherlands
| | - Pratyaksha Wirapati
- Swiss Institute for Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | | | | | | | | | - Sulochana Omwenga
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Amy M.B. McCorry
- Centre for Cancer Research and Cell Biology, Queen’s University Belfast, Belfast, UK
| | - Alistair Easton
- Department of Oncology, Old Road Campus Research Building, Roosevelt Drive, University of Oxford, Oxford, UK
| | - Viktor H. Koelzer
- Department of Pathology and Molecular Pathology, University and University Hospital Zürich, Rämistrasse 100, 8006 Zürich, Switzerland
| | - James E. East
- Translational Gastroenterology Unit, John Radcliffe Hospital, University of Oxford, and Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Dion Morton
- Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - Livio Trusolino
- Candiolo Cancer Institute FPO IRCCS, 10060 Candiolo, Torino, Italy
| | - Timothy Maughan
- Department of Oncology, Old Road Campus Research Building, Roosevelt Drive, University of Oxford, Oxford, UK
| | | | - Maurice B. Loughrey
- Centre for Cancer Research and Cell Biology, Queen’s University Belfast, Belfast, UK
| | - Philip D. Dunne
- Centre for Cancer Research and Cell Biology, Queen’s University Belfast, Belfast, UK
| | - Petros Tsantoulis
- University of Geneva and Department of Oncology, Hôpitaux Universitaires de Genève, Geneva, Switzerland
| | - David J. Huels
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam University Medical Centers, Meibergdreef 9, 1105 Amsterdam, the Netherlands,Oncode Institute, Meibergdreef 9, 1105 Amsterdam, the Netherlands
| | - Sabine Tejpar
- Molecular Digestive Oncology Unit, KU Leuven, Leuven, Belgium
| | - Owen J. Sansom
- Cancer Research UK Beatson Institute, Glasgow, UK,Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Glasgow, UK
| | - Simon J. Leedham
- Wellcome Centre Human Genetics, Roosevelt Drive, University of Oxford, Oxford, UK,Translational Gastroenterology Unit, John Radcliffe Hospital, University of Oxford, and Oxford NIHR Biomedical Research Centre, Oxford, UK,Corresponding author
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40
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Fimereli D, Venet D, Rediti M, Boeckx B, Maetens M, Majjaj S, Rouas G, Marchio C, Bertucci F, Mariani O, Capra M, Bonizzi G, Contaldo F, Galant C, Van den Eynden G, Salgado R, Biganzoli E, Vincent-Salomon A, Pruneri G, Larsimont D, Lambrechts D, Desmedt C, Brown DN, Rothé F, Sotiriou C. Timing evolution of lobular breast cancer through phylogenetic analysis. EBioMedicine 2022; 82:104169. [PMID: 35882101 PMCID: PMC9309404 DOI: 10.1016/j.ebiom.2022.104169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Danai Fimereli
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - David Venet
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mattia Rediti
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Bram Boeckx
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium; Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Marion Maetens
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium; Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Samira Majjaj
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ghizlane Rouas
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Caterina Marchio
- Department of Medical Sciences, University of Turin, Turin, Italy; FPO-IRCCS Candiolo Cancer Institute, Candiolo, Italy
| | - Francois Bertucci
- Predictive Oncology Laboratory, Institut Paoli-Calmettes, CRCM, INSERM U1068, CNRS UMR7258, Aix-Marseille Université Marseille, France
| | - Odette Mariani
- Department of Pathology, Institut Curie, Paris Sciences Lettres Research University, Paris, France
| | - Maria Capra
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Giuseppina Bonizzi
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Federica Contaldo
- Biobank for Translational and Digital Medicine, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Christine Galant
- Department of Pathology, Cliniques Universitaires Saint Luc, Brussels, Belgium; IREC, Université Catholique de Louvain, Brussels, Belgium
| | | | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium; Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia
| | - Elia Biganzoli
- Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, University of Milan, Milan, Italy
| | - Anne Vincent-Salomon
- Department of Pathology, Institut Curie, Paris Sciences Lettres Research University, Paris, France
| | - Giancarlo Pruneri
- Division of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; School of Medicine, University of Milan, Milano, Milan, Italy
| | - Denis Larsimont
- Department of Pathology, Institut Jules Bordet, Brussels, Belgium
| | - Diether Lambrechts
- Laboratory of Translational Genetics, VIB Center for Cancer Biology, Leuven, Belgium; Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - David N Brown
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Françoise Rothé
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Sotiriou
- J.-C. Heuson Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
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41
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Yang D, Niu Y, Ni H, Leng J, Xu X, Yuan X, Chen K, Wu Y, Wu H, Lu H, Xu J, Wang L, Jiang Y, Cui D, Hu J, Xia D, Wu Y. Identification of metastasis-related long non-coding RNAs in lung cancer through a novel tumor mesenchymal score. Pathol Res Pract 2022; 237:154018. [PMID: 35914372 DOI: 10.1016/j.prp.2022.154018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/17/2022] [Accepted: 07/10/2022] [Indexed: 11/16/2022]
Abstract
Long non-coding RNAs (lncRNAs) have been proven to play critical roles in epithelial-mesenchymal transition (EMT) and metastasis of lung cancer. However, the biological functions and related mechanisms of lncRNAs are unclear. In addition, the EMT-based prognosis prediction in lung cancer still lacks investigation. Here, we established the methodology of identifying critical metastasis-related lncRNAs using comprehensive datasets of cancer transcriptome, genome and epigenome, and also provided tools for prognosis prediction in lung cancer. Initially, important mesenchymal marker genes were identified to compose the tumor mesenchymal score, which predicted patient prognosis in lung cancer, especially lung adenocarcinoma (LUAD). The score was also correlated with several crucial biological and physiological processes, such as tumor immune and hypoxia. Based on the score, lung cancer patients was classified into epithelial and mesenchymal subtypes, and lncRNAs which exhibited expressional dysregulation, promotor methylation alteration and copy number variation between the two subtypes in LUAD were identified and underwent further prognostic analyses. Finally, we identified 14 lncRNAs as EMT-related and significant biomarkers in prognosis prediction of LUAD. As validation, lncRNA RBPMS-AS1 was proven to be co-expressed with epithelial biomarkers, suppressive for A549 cell migration, invasion and EMT, and also significantly associated with better outcomes of LUAD patients, suggesting the potential of RBPMS-AS1 to serve as a lncRNA epithelial biomarker in metastasis of LUAD. Based on the identified lncRNAs, an EMT-linked lncRNA prognostic signature was further established. Taken together, our study provides robust predictive tools, potential lncRNA targets and feasible screening strategies for future study of lung cancer metastasis.
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Affiliation(s)
- Dexin Yang
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yuequn Niu
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Heng Ni
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jing Leng
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xian Xu
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiaoyu Yuan
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Kelie Chen
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yongfeng Wu
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Han Wu
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Haohua Lu
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jinming Xu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Luming Wang
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yifan Jiang
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Dongyu Cui
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dajing Xia
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
| | - Yihua Wu
- Department of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou 310058, Zhejiang, China.
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42
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Ruohan W, Yuwei Z, Mengbo W, Xikang F, Jianping W, Shuai Cheng L. Resolving single-cell copy number profiling for large datasets. Brief Bioinform 2022; 23:6633647. [PMID: 35801503 DOI: 10.1093/bib/bbac264] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/29/2022] [Accepted: 06/06/2022] [Indexed: 11/14/2022] Open
Abstract
The advances of single-cell DNA sequencing (scDNA-seq) enable us to characterize the genetic heterogeneity of cancer cells. However, the high noise and low coverage of scDNA-seq impede the estimation of copy number variations (CNVs). In addition, existing tools suffer from intensive execution time and often fail on large datasets. Here, we propose SeCNV, an efficient method that leverages structural entropy, to profile the copy numbers. SeCNV adopts a local Gaussian kernel to construct a matrix, depth congruent map (DCM), capturing the similarities between any two bins along the genome. Then, SeCNV partitions the genome into segments by minimizing the structural entropy from the DCM. With the partition, SeCNV estimates the copy numbers within each segment for cells. We simulate nine datasets with various breakpoint distributions and amplitudes of noise to benchmark SeCNV. SeCNV achieves a robust performance, i.e. the F1-scores are higher than 0.95 for breakpoint detections, significantly outperforming state-of-the-art methods. SeCNV successfully processes large datasets (>50 000 cells) within 4 min, while other tools fail to finish within the time limit, i.e. 120 h. We apply SeCNV to single-nucleus sequencing datasets from two breast cancer patients and acoustic cell tagmentation sequencing datasets from eight breast cancer patients. SeCNV successfully reproduces the distinct subclones and infers tumor heterogeneity. SeCNV is available at https://github.com/deepomicslab/SeCNV.
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Affiliation(s)
- Wang Ruohan
- Department of Computer Science at City University of Hong Kong
| | - Zhang Yuwei
- Department of Computer Science at City University of Hong Kong
| | - Wang Mengbo
- Department of Computer Science at City University of Hong Kong
| | - Feng Xikang
- School of Software, Northwestern Polytechnical University
| | - Wang Jianping
- Department of Computer Science at City University of Hong Kong
| | - Li Shuai Cheng
- Department of Computer Science at City University of Hong Kong
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43
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Biermann J, Melms JC, Amin AD, Wang Y, Caprio LA, Karz A, Tagore S, Barrera I, Ibarra-Arellano MA, Andreatta M, Fullerton BT, Gretarsson KH, Sahu V, Mangipudy VS, Nguyen TTT, Nair A, Rogava M, Ho P, Koch PD, Banu M, Humala N, Mahajan A, Walsh ZH, Shah SB, Vaccaro DH, Caldwell B, Mu M, Wünnemann F, Chazotte M, Berhe S, Luoma AM, Driver J, Ingham M, Khan SA, Rapisuwon S, Slingluff CL, Eigentler T, Röcken M, Carvajal R, Atkins MB, Davies MA, Agustinus A, Bakhoum SF, Azizi E, Siegelin M, Lu C, Carmona SJ, Hibshoosh H, Ribas A, Canoll P, Bruce JN, Bi WL, Agrawal P, Schapiro D, Hernando E, Macosko EZ, Chen F, Schwartz GK, Izar B. Dissecting the treatment-naive ecosystem of human melanoma brain metastasis. Cell 2022; 185:2591-2608.e30. [PMID: 35803246 PMCID: PMC9677434 DOI: 10.1016/j.cell.2022.06.007] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 04/08/2022] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
Melanoma brain metastasis (MBM) frequently occurs in patients with advanced melanoma; yet, our understanding of the underlying salient biology is rudimentary. Here, we performed single-cell/nucleus RNA-seq in 22 treatment-naive MBMs and 10 extracranial melanoma metastases (ECMs) and matched spatial single-cell transcriptomics and T cell receptor (TCR)-seq. Cancer cells from MBM were more chromosomally unstable, adopted a neuronal-like cell state, and enriched for spatially variably expressed metabolic pathways. Key observations were validated in independent patient cohorts, patient-derived MBM/ECM xenograft models, RNA/ATAC-seq, proteomics, and multiplexed imaging. Integrated spatial analyses revealed distinct geography of putative cancer immune evasion and evidence for more abundant intra-tumoral B to plasma cell differentiation in lymphoid aggregates in MBM. MBM harbored larger fractions of monocyte-derived macrophages and dysfunctional TOX+CD8+ T cells with distinct expression of immune checkpoints. This work provides comprehensive insights into MBM biology and serves as a foundational resource for further discovery and therapeutic exploration.
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Affiliation(s)
- Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Yiping Wang
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Lindsay A Caprio
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alcida Karz
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Somnath Tagore
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Irving Barrera
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Miguel A Ibarra-Arellano
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Massimo Andreatta
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Benjamin T Fullerton
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Kristjan H Gretarsson
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Varun Sahu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Vaibhav S Mangipudy
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Trang T T Nguyen
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Ajay Nair
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Meri Rogava
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Patricia Ho
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Peter D Koch
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Matei Banu
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Nelson Humala
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Aayushi Mahajan
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Zachary H Walsh
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Shivem B Shah
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Daniel H Vaccaro
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Blake Caldwell
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Michael Mu
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Florian Wünnemann
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Margot Chazotte
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Simon Berhe
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Adrienne M Luoma
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Center, Boston, MA 02215, USA
| | - Joseph Driver
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Ingham
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Shaheer A Khan
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Suthee Rapisuwon
- Division of Hematology/Oncology, Medstar Washington Cancer Institute, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Craig L Slingluff
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | - Thomas Eigentler
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venereology and Allergology, 10117, Berlin, Germany
| | - Martin Röcken
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Richard Carvajal
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Michael B Atkins
- Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Albert Agustinus
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pharmacology, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Samuel F Bakhoum
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA
| | - Markus Siegelin
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Chao Lu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Santiago J Carmona
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Hanina Hibshoosh
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Antoni Ribas
- Department of Medicine, Jonsson Comprehensive Cancer Center, University of California, Los Angeles (UCLA), Los Angeles, CA 90024, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Praveen Agrawal
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Denis Schapiro
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Eva Hernando
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Evan Z Macosko
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Gary K Schwartz
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA.
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Zhao Y, Shang J, Gao J, Han H, Gao Z, Yan Y, Zheng Q, Ye T, Fu F, Deng C, Ma Z, Zhang Y, Zheng D, Zheng S, Li Y, Cao Z, Shi L, Chen H. Increased Tumor Intrinsic Growth Potential and Decreased Immune Function Orchestrate the Progression of Lung Adenocarcinoma. Front Immunol 2022; 13:921761. [PMID: 35844495 PMCID: PMC9283781 DOI: 10.3389/fimmu.2022.921761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background The overall 5-year survival of lung cancer was reported to be only ~15%, with lung adenocarcinoma (LUAD) as the main pathological subtype. Before developing into invasive stages, LUAD undergoes pre-invasive stages of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA), where surgical resection gives an excellent 5-year survival rate. Given the dramatic decline of prognosis from pre-invasive to invasive stages, a deeper understanding of key molecular changes driving the progression of LUAD is highly needed. Methods In this study, we performed whole-exome sequencing and RNA sequencing on surgically resected 24 AIS, 74 MIA, 99 LUAD specimens, and their adjacent paired normal tissues. Survival data were obtained by follow-up after surgery. Key molecular events were found by comparing the gene expression profiles of tumors with different stages. Finally, to measure the level of imbalance between tumor intrinsic growth potential and immune microenvironment, a tumor progressive (TP) index was developed to predict tumor progression and patients’ survival outcome and validated by external datasets. Results As tumors progressed to more invasive stages, they acquired higher growth potential, mutational frequency of tumor suppressor genes, somatic copy number alterations, and tumor mutation burden, along with suppressed immune function. To better predict tumor progression and patients’ outcome, TP index were built to measure the imbalance between tumor intrinsic growth potential and immune microenvironment. Patients with a higher TP index had significantly worse recurrence-free survival [Hazard ratio (HR), 10.47; 95% CI, 3.21–34.14; p < 0.0001] and overall survival (OS) [Hazard ratio (HR), 4.83e8; 95% CI, 0–Inf; p = 0.0013]. We used The Cancer Genome Atlas (TCGA)-LUAD dataset for validation and found that patients with a higher TP index had significantly worse OS (HR, 1.10; 95% CI, 0.83–1.45; p = 0.048), demonstrating the prognostic value of the TP index for patients with LUAD. Conclusions The imbalance of tumor intrinsic growth potential and immune function orchestrate the progression of LUAD, which can be measured by TP index. Our study provided new insights into predicting survival of patients with LUAD and new target discovery for LUAD through assessing the imbalance between tumor intrinsic growth potential and immune function.
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Affiliation(s)
- Yue Zhao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jun Shang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Jian Gao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- International Human Phenome Institutes (Shanghai), Shanghai, China
| | - Han Han
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhendong Gao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yueren Yan
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Zheng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ting Ye
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fangqiu Fu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chaoqiang Deng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zelin Ma
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Zhang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Difan Zheng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shanbo Zheng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuan Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhiwei Cao
- School of Life Sciences, Fudan University, Shanghai, China
- *Correspondence: Haiquan Chen, ; Leming Shi, ; Zhiwei Cao,
| | - Leming Shi
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
- *Correspondence: Haiquan Chen, ; Leming Shi, ; Zhiwei Cao,
| | - Haiquan Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Haiquan Chen, ; Leming Shi, ; Zhiwei Cao,
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Markowska M, Cąkała T, Miasojedow B, Aybey B, Juraeva D, Mazur J, Ross E, Staub E, Szczurek E. CONET: copy number event tree model of evolutionary tumor history for single-cell data. Genome Biol 2022; 23:128. [PMID: 35681161 PMCID: PMC9185904 DOI: 10.1186/s13059-022-02693-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 05/23/2022] [Indexed: 11/10/2022] Open
Abstract
Copy number alterations constitute important phenomena in tumor evolution. Whole genome single-cell sequencing gives insight into copy number profiles of individual cells, but is highly noisy. Here, we propose CONET, a probabilistic model for joint inference of the evolutionary tree on copy number events and copy number calling. CONET employs an efficient, regularized MCMC procedure to search the space of possible model structures and parameters. We introduce a range of model priors and penalties for efficient regularization. CONET reveals copy number evolution in two breast cancer samples, and outperforms other methods in tree reconstruction, breakpoint identification and copy number calling.
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Affiliation(s)
- Magda Markowska
- University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, Banacha 2, Warsaw, Poland
- Medical University of Warsaw, Postgraduate School of Molecular Medicine, Ks. Trojdena 2a Street, Warsaw, Poland
| | - Tomasz Cąkała
- University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, Banacha 2, Warsaw, Poland
| | - BłaŻej Miasojedow
- University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, Banacha 2, Warsaw, Poland
| | - Bogac Aybey
- Merck Healthcare KGaA, Translational Medicine, Oncology Bioinformatics, Frankfurter Str. 250, Darmstadt, 64293 Germany
| | - Dilafruz Juraeva
- Merck Healthcare KGaA, Translational Medicine, Oncology Bioinformatics, Frankfurter Str. 250, Darmstadt, 64293 Germany
| | - Johanna Mazur
- Merck Healthcare KGaA, Translational Medicine, Oncology Bioinformatics, Frankfurter Str. 250, Darmstadt, 64293 Germany
| | - Edith Ross
- Merck Healthcare KGaA, Translational Medicine, Oncology Bioinformatics, Frankfurter Str. 250, Darmstadt, 64293 Germany
| | - Eike Staub
- Merck Healthcare KGaA, Translational Medicine, Oncology Bioinformatics, Frankfurter Str. 250, Darmstadt, 64293 Germany
| | - Ewa Szczurek
- University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, Banacha 2, Warsaw, Poland
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46
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Steele CD, Abbasi A, Islam SMA, Bowes AL, Khandekar A, Haase K, Hames-Fathi S, Ajayi D, Verfaillie A, Dhami P, McLatchie A, Lechner M, Light N, Shlien A, Malkin D, Feber A, Proszek P, Lesluyes T, Mertens F, Flanagan AM, Tarabichi M, Van Loo P, Alexandrov LB, Pillay N. Signatures of copy number alterations in human cancer. Nature 2022; 606:984-991. [PMID: 35705804 PMCID: PMC9242861 DOI: 10.1038/s41586-022-04738-6] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 04/07/2022] [Indexed: 12/15/2022]
Abstract
Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-related processes of replication stress, mitotic errors, spindle multipolarity and breakage-fusion-bridge cycles, among others, which may lead to chromosomal instability and aneuploidy1,2. These copy number alterations contribute to cancer initiation, progression and therapeutic resistance3-5. Here we present a conceptual framework to examine the patterns of copy number alterations in human cancer that is widely applicable to diverse data types, including whole-genome sequencing, whole-exome sequencing, reduced representation bisulfite sequencing, single-cell DNA sequencing and SNP6 microarray data. Deploying this framework to 9,873 cancers representing 33 human cancer types from The Cancer Genome Atlas6 revealed a set of 21 copy number signatures that explain the copy number patterns of 97% of samples. Seventeen copy number signatures were attributed to biological phenomena of whole-genome doubling, aneuploidy, loss of heterozygosity, homologous recombination deficiency, chromothripsis and haploidization. The aetiologies of four copy number signatures remain unexplained. Some cancer types harbour amplicon signatures associated with extrachromosomal DNA, disease-specific survival and proto-oncogene gains such as MDM2. In contrast to base-scale mutational signatures, no copy number signature was associated with many known exogenous cancer risk factors. Our results synthesize the global landscape of copy number alterations in human cancer by revealing a diversity of mutational processes that give rise to these alterations.
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Affiliation(s)
- Christopher D Steele
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | - Ammal Abbasi
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - S M Ashiqul Islam
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Amy L Bowes
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Kerstin Haase
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Shadi Hames-Fathi
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | - Dolapo Ajayi
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | | | - Pawan Dhami
- CRUK-UCL Cancer Institute Translational Technology Platform (Genomics), London, UK
| | - Alex McLatchie
- CRUK-UCL Cancer Institute Translational Technology Platform (Genomics), London, UK
| | - Matt Lechner
- Research Department of Oncology, UCL Cancer Institute, London, UK
| | - Nicholas Light
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Adam Shlien
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - David Malkin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Andrew Feber
- Translational Epigenetics, Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Clinical Genomics, Translational Research Laboratory, Royal Marsden NHS Trust, London, UK
| | - Paula Proszek
- Translational Epigenetics, Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Clinical Genomics, Translational Research Laboratory, Royal Marsden NHS Trust, London, UK
| | - Tom Lesluyes
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Fredrik Mertens
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Department of Clinical Genetics and Pathology, Division of Laboratory Medicine, Lund, Sweden
| | - Adrienne M Flanagan
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK
| | - Maxime Tarabichi
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research, Université Libre de Bruxelles, Brussels, Belgium
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA.
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA.
| | - Nischalan Pillay
- Research Department of Pathology, Cancer Institute, University College London, London, UK.
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK.
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Sibilio P, Belardinilli F, Licursi V, Paci P, Giannini G. An integrative in-silico analysis discloses a novel molecular subset of colorectal cancer possibly eligible for immune checkpoint immunotherapy. Biol Direct 2022; 17:10. [PMID: 35534873 PMCID: PMC9082922 DOI: 10.1186/s13062-022-00324-y] [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: 02/16/2022] [Accepted: 04/23/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Historically, the molecular classification of colorectal cancer (CRC) was based on the global genomic status, which identified microsatellite instability in mismatch repair (MMR) deficient CRC, and chromosomal instability in MMR proficient CRC. With the introduction of immune checkpoint inhibitors, the microsatellite and chromosomal instability classification regained momentum as the microsatellite instability condition predicted sensitivity to immune checkpoint inhibitors, possibly due to both high tumor mutation burden (TMB) and high levels of infiltrating lymphocytes. Conversely, proficient MMR CRC are mostly resistant to immunotherapy. To better understand the relationship between the microsatellite and chromosomal instability classification, and eventually discover additional CRC subgroups relevant for therapeutic decisions, we developed a computational pipeline that include molecular integrative analysis of genomic, epigenomic and transcriptomic data. RESULTS The first step of the pipeline was based on unsupervised hierarchical clustering analysis of copy number variations (CNVs) versus hypermutation status that identified a first CRC cluster with few CNVs enriched in Hypermutated and microsatellite instability samples, a second CRC cluster with a high number of CNVs mostly including non-HM and microsatellite stable samples, and a third cluster (7.8% of the entire dataset) with low CNVs and low TMB, which shared clinical-pathological features with Hypermutated CRCs and thus defined Hypermutated-like CRCs. The mutational features, DNA methylation profile and base substitution fingerprints of these tumors revealed that Hypermutated-like patients are molecularly distinct from Hypermutated and non-Hypermutated tumors and are likely to develop and progress through different genetic events. Transcriptomic analysis highlighted further differences amongst the three groups and revealed an inflamed tumor microenvironment and modulation Immune Checkpoint Genes in Hypermutated-like CRCs. CONCLUSION Therefore, our work highlights Hypermutated-like tumors as a distinct and previously unidentified CRC subgroup possibly responsive to immune checkpoint inhibitors. If further validated, these findings can lead to expanding the fraction of patients eligible to immunotherapy.
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Affiliation(s)
- Pasquale Sibilio
- Department of Translational and Precision Medicine, University La Sapienza, 00161, Rome, Italy.,Institute for Systems Analysis and Computer Science Antonio Ruberti, National Research Council, 00185, Rome, Italy
| | | | - Valerio Licursi
- Department of Biology and Biotechnologies "Charles Darwin", University La Sapienza, 00185, Rome, Italy.,Institute of Molecular Biology and Pathology, National Research Council of Italy, Via degli Apuli, 4, 00185, Rome, Italy
| | - Paola Paci
- Institute for Systems Analysis and Computer Science Antonio Ruberti, National Research Council, 00185, Rome, Italy.,Department of Computer Engineering, Automation and Management, University La Sapienza, 00161, Rome, Italy
| | - Giuseppe Giannini
- Department of Molecular Medicine, University La Sapienza, 00161, Rome, Italy. .,Istituto Pasteur-Fondazione Cenci Bolognetti, 00161, Rome, Italy.
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48
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Cimmino F, Montella A, Tirelli M, Avitabile M, Lasorsa VA, Visconte F, Cantalupo S, Maiorino T, De Angelis B, Morini M, Castellano A, Locatelli F, Capasso M, Iolascon A. FGFR1 is a potential therapeutic target in neuroblastoma. Cancer Cell Int 2022; 22:174. [PMID: 35488346 PMCID: PMC9052553 DOI: 10.1186/s12935-022-02587-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 04/13/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND FGFR1 regulates cell-cell adhesion and extracellular matrix architecture and acts as oncogene in several cancers. Potential cancer driver mutations of FGFR1 occur in neuroblastoma (NB), a neural crest-derived pediatric tumor arising in sympathetic nervous system, but so far they have not been studied experimentally. We investigated the driver-oncogene role of FGFR1 and the implication of N546K mutation in therapy-resistance in NB cells. METHODS Public datasets were used to predict the correlation of FGFR1 expression with NB clinical outcomes. Whole genome sequencing data of 19 paired diagnostic and relapse NB samples were used to find somatic mutations. In NB cell lines, silencing by short hairpin RNA and transient overexpression of FGFR1 were performed to evaluate the effect of the identified mutation by cell growth, invasion and cologenicity assays. HEK293, SHSY5Y and SKNBE2 were selected to investigate subcellular wild-type and mutated protein localization. FGFR1 inhibitor (AZD4547), alone or in combination with PI3K inhibitor (GDC0941), was used to rescue malignant phenotypes induced by overexpression of FGFR1 wild-type and mutated protein. RESULTS High FGFR1 expression correlated with low relapse-free survival in two independent NB gene expression datasets. In addition, we found the somatic mutation N546K, the most recurrent point mutation of FGFR1 in all cancers and already reported in NB, in one out of 19 matched primary and recurrent tumors. Loss of FGFR1 function attenuated invasion and cologenicity in NB cells, whereas FGFR1 overexpression enhanced oncogenicity. The overexpression of FGFR1N546K protein showed a higher nuclear localization compared to wild-type protein and increased cellular invasion and cologenicity. Moreover, N546K mutation caused the failure in response to treatment with FGFR1 inhibitor by activation of ERK, STAT3 and AKT pathways. The combination of FGFR1 and PI3K pathway inhibitors was effective in reducing the invasive and colonigenic ability of cells overexpressing FGFR1 mutated protein. CONCLUSIONS FGFR1 is an actionable driver oncogene in NB and a promising therapy may consist in targeting FGFR1 mutations in patients with therapy-resistant NB.
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Affiliation(s)
- Flora Cimmino
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy
| | - Annalaura Montella
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy.,Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy
| | - Matilde Tirelli
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy.,European School of Molecular Medicine, Università Degli Studi di Milano, 20122, Milan, Italy
| | - Marianna Avitabile
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy
| | | | - Feliciano Visconte
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy
| | - Sueva Cantalupo
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy.,Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy
| | - Teresa Maiorino
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy.,Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy
| | - Biagio De Angelis
- Hematology/Oncology and Cell and Gene Therapy Department, IRCCS Bambino Gesù Children's Hospital, 00165, Rome, Italy
| | - Martina Morini
- Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Aurora Castellano
- Paediatric Haematology/Oncology Department, IRCCS Bambino Gesù Children's Hospital, 00165, Rome, Italy
| | - Franco Locatelli
- IRCCS Bambino Gesù Children's Hospital, Sapienza, University of Rome, 00165, Rome, Italy
| | - Mario Capasso
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy. .,Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
| | - Achille Iolascon
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, 486, 80145, Naples, Italy. .,Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
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Neoantigen-specific CD8 T cell responses in the peripheral blood following PD-L1 blockade might predict therapy outcome in metastatic urothelial carcinoma. Nat Commun 2022; 13:1935. [PMID: 35410325 PMCID: PMC9001725 DOI: 10.1038/s41467-022-29342-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/07/2022] [Indexed: 12/14/2022] Open
Abstract
CD8+ T cell reactivity towards tumor mutation-derived neoantigens is widely believed to facilitate the antitumor immunity induced by immune checkpoint blockade (ICB). Here we show that broadening in the number of neoantigen-reactive CD8+ T cell (NART) populations between pre-treatment to 3-weeks post-treatment distinguishes patients with controlled disease compared to patients with progressive disease in metastatic urothelial carcinoma (mUC) treated with PD-L1-blockade. The longitudinal analysis of peripheral CD8+ T cell recognition of patient-specific neopeptide libraries consisting of DNA barcode-labelled pMHC multimers in a cohort of 24 patients from the clinical trial NCT02108652 also shows that peripheral NARTs derived from patients with disease control are characterised by a PD1+ Ki67+ effector phenotype and increased CD39 levels compared to bystander bulk- and virus-antigen reactive CD8+ T cells. The study provides insights into NART characteristics following ICB and suggests that early-stage NART expansion and activation are associated with response to ICB in patients with mUC. Immune checkpoint blockade therapy is successful in a high proportion of cancer patients, but others remain unresponsive. Authors here show that therapeutic success might be predictable in metastatic bladder cancer by longitudinal analysis of the early neoantigen-specific CD8 T cell response in peripheral blood.
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50
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Hui S, Nielsen R. SCONCE: a method for profiling copy number alterations in cancer evolution using single-cell whole genome sequencing. Bioinformatics 2022; 38:1801-1808. [PMID: 35080614 PMCID: PMC8963318 DOI: 10.1093/bioinformatics/btac041] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 12/23/2021] [Accepted: 01/24/2022] [Indexed: 02/04/2023] Open
Abstract
MOTIVATION Copy number alterations (CNAs) are a significant driver in cancer growth and development, but remain poorly characterized on the single cell level. Although genome evolution in cancer cells is Markovian through evolutionary time, CNAs are not Markovian along the genome. However, existing methods call copy number profiles with Hidden Markov Models or change point detection algorithms based on changes in observed read depth, corrected by genome content and do not account for the stochastic evolutionary process. RESULTS We present a theoretical framework to use tumor evolutionary history to accurately call CNAs in a principled manner. To model the tumor evolutionary process and account for technical noise from low coverage single-cell whole genome sequencing data, we developed SCONCE, a method based on a Hidden Markov Model to analyze read depth data from tumor cells using matched normal cells as negative controls. Using a combination of public data sets and simulations, we show SCONCE accurately decodes copy number profiles, and provides a useful tool for understanding tumor evolution. AVAILABILITYAND IMPLEMENTATION SCONCE is implemented in C++11 and is freely available from https://github.com/NielsenBerkeleyLab/sconce. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Sandra Hui
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Rasmus Nielsen
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Statistics, University of California, Berkeley, Berkeley, CA 94720, USA
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