1
|
Fléchon L, Arib I, Dutta AK, Hasan Bou Issa L, Sklavenitis-Pistofidis R, Tilmont R, Stewart C, Dubois R, Poulain S, Copin MC, Javed S, Nudel M, Cavalieri D, Escure G, Gower N, Chauvet P, Gazeau N, Saade C, Thiam MB, Ouelkite-Oumouchal A, Gaggero S, Cailliau É, Faiz S, Carpentier O, Duployez N, Idziorek T, Mortier L, Figeac M, Preudhomme C, Quesnel B, Mitra S, Morschhauser F, Getz G, Ghobrial IM, Manier S. Genomic profiling of mycosis fungoides identifies patients at high risk of disease progression. Blood Adv 2024; 8:3109-3119. [PMID: 38513135 DOI: 10.1182/bloodadvances.2023012125] [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: 12/12/2023] [Revised: 02/15/2024] [Accepted: 02/17/2024] [Indexed: 03/23/2024] Open
Abstract
ABSTRACT Mycosis fungoides (MF) is the most prevalent primary cutaneous T-cell lymphoma, with an indolent or aggressive course and poor survival. The pathogenesis of MF remains unclear, and prognostic factors in the early stages are not well established. Here, we characterized the most recurrent genomic alterations using whole-exome sequencing of 67 samples from 48 patients from Lille University Hospital (France), including 18 sequential samples drawn across stages of the malignancy. Genomic data were analyzed on the Broad Institute's Terra bioinformatics platform. We found that gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), or mutations in JUNB and TET2 are associated with high-risk disease stages. Furthermore, gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), and del6q16.3 (TNFAIP3) are coupled with shorter survival. Del6q16.3 (TNFAIP3) was a risk factor for progression in patients at low risk. By analyzing the clonal heterogeneity and the clonal evolution of the cohort, we defined different phylogenetic pathways of the disease with acquisition of JUNB, gain10p15.1 (IL2RA and IL15RA), or del12p13.1 (CDKN1B) at progression. These results establish the genomics and clonality of MF and identify potential patients at risk of progression, independent of their clinical stage.
Collapse
Affiliation(s)
- Léa Fléchon
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
| | - Inès Arib
- Department of Hematology, Lille Hospital, Lille, France
| | - Ankit K Dutta
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
- Department of Medical Oncology, Harvard Medical School, Boston, MA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Lama Hasan Bou Issa
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
| | - Romanos Sklavenitis-Pistofidis
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
- Department of Medical Oncology, Harvard Medical School, Boston, MA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Rémi Tilmont
- Department of Hematology, Lille Hospital, Lille, France
| | - Chip Stewart
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Romain Dubois
- Department of Pathology, Lille Hospital, Lille, France
| | - Stéphanie Poulain
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
- Department of Hematology, Biology and Pathology Center, Lille Hospital, Lille, France
| | - Marie-Christine Copin
- Department of Pathology, Angers University, Angers Hospital, INSERM, CRCI2NA, Angers, France
| | - Sahir Javed
- Department of Medical Oncology, Valenciennes Hospital, Valenciennes, France
| | - Morgane Nudel
- Department of Hematology, Lille Hospital, Lille, France
| | | | | | - Nicolas Gower
- Department of Hematology, Lille Hospital, Lille, France
| | - Paul Chauvet
- Department of Hematology, Lille Hospital, Lille, France
| | | | - Cynthia Saade
- Department of Hematology, Lille Hospital, Lille, France
| | | | | | - Silvia Gaggero
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
| | | | - Sarah Faiz
- Department of Pathology and Dermatology, Lille Hospital, Lille, France
| | | | - Nicolas Duployez
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
- Department of Hematology, Biology and Pathology Center, Lille Hospital, Lille, France
| | - Thierry Idziorek
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
| | - Laurent Mortier
- Department of Pathology and Dermatology, Lille Hospital, Lille, France
- OncoThai unit, INSERM UMR-S1189, Lille University, Lille, France
| | - Martin Figeac
- Lille University, Lille Hospital, CNRS, INSERM, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, Lille, France
| | - Claude Preudhomme
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
- Department of Hematology, Biology and Pathology Center, Lille Hospital, Lille, France
| | - Bruno Quesnel
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
- Department of Hematology, Lille Hospital, Lille, France
| | - Suman Mitra
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
| | | | - Gad Getz
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
- Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Irene M Ghobrial
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
- Department of Medical Oncology, Harvard Medical School, Boston, MA
- Harvard Medical School, Boston, MA
| | - Salomon Manier
- Canther, ONCOLille, INSERM UMR-S1277, CNRS UMR9020, Lille University, Lille, France
- Department of Hematology, Lille Hospital, Lille, France
| |
Collapse
|
2
|
Klockner TC, Campbell CS. Selection forces underlying aneuploidy patterns in cancer. Mol Cell Oncol 2024; 11:2369388. [PMID: 38919375 PMCID: PMC11197905 DOI: 10.1080/23723556.2024.2369388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/13/2024] [Indexed: 06/27/2024]
Abstract
Aneuploidy, the presence of an aberrant number of chromosomes, has been associated with tumorigenesis for over a century. More recently, advances in karyotyping techniques have revealed its high prevalence in cancer: About 90% of solid tumors and 50-70% of hematopoietic cancers exhibit chromosome gains or losses. When analyzed at the level of specific chromosomes, there are strong patterns that are observed in cancer karyotypes both pan-cancer and for specific cancer types. These specific aneuploidy patterns correlate strongly with outcomes for tumor initiation, progression, metastasis formation, immune evasion and resistance to therapeutic treatment. Despite their prominence, understanding the basis underlying aneuploidy patterns in cancer has been challenging. Advances in genetic engineering and bioinformatic analyses now offer insights into the genetic determinants of aneuploidy pattern selection. Overall, there is substantial evidence that expression changes of particular genes can act as the positive selective forces for adaptation through aneuploidy. Recent findings suggest that multiple genes contribute to the selection of specific aneuploid chromosomes in cancer; however, further research is necessary to identify the most impactful driver genes. Determining the genetic basis and accompanying vulnerabilities of specific aneuploidy patterns is an essential step in selectively targeting these hallmarks of tumors.
Collapse
Affiliation(s)
- Tamara C. Klockner
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, Austria
- Center for Molecular Biology, Department of Chromosome Biology, University of Vienna, Vienna, Austria
- A Doctoral School of the University of Vienna and the Medical University of Vienna, Vienna, Austria
| | - Christopher S. Campbell
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, Austria
- Center for Molecular Biology, Department of Chromosome Biology, University of Vienna, Vienna, Austria
| |
Collapse
|
3
|
Oh J, Kirsh C, Hsin JP, Radecki KC, Zampieri A, Manry D, Ando Y, Miller S, Chan J, McLeod E, Cunningham KM, Wong LM, Xu H, Kamb A. NOT gated T cells that selectively target EGFR and other widely expressed tumor antigens. iScience 2024; 27:109913. [PMID: 38799557 PMCID: PMC11126980 DOI: 10.1016/j.isci.2024.109913] [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: 03/22/2023] [Revised: 01/04/2024] [Accepted: 05/03/2024] [Indexed: 05/29/2024] Open
Abstract
Here, we show that a NOT gated cell therapy (Tmod) can exploit antigens such as epidermal growth factor receptor (EGFR) and human leukocyte antigen-E (HLA-E) which are widely expressed on cancer cells. Noncancerous cells-despite high expression of these antigens-are protected from cytotoxicity by the action of an inhibitory receptor ("blocker") via a mechanism that involves blocker modulation of CAR surface expression. The blocker is triggered by the product of a polymorphic HLA allele (e.g., HLA-A∗02) deleted in a significant subset of solid tumors via loss of heterozygosity. Moreover, Tmod constructs that target mouse homologs of EGFR or HLA-E for activation, and a mouse-equivalent of HLA-A∗02 for inhibition, protect mice from toxicity caused by the CAR alone. The blocker also controls graft vs. host response in allogeneic T cells in vitro, consistent with the use of Tmod cells for off-the-shelf therapy without additional gene-editing.
Collapse
Affiliation(s)
- Julyun Oh
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Charles Kirsh
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Jing-Ping Hsin
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Kelly C. Radecki
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | | | - Diane Manry
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Yuta Ando
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Sara Miller
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Jamie Chan
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Ethan McLeod
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | | | - Lu Min Wong
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Han Xu
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| | - Alexander Kamb
- A2 Biotherapeutics; 30301 Agoura Rd., Agoura Hills 91301, CA, USA
| |
Collapse
|
4
|
Desai P, Takahashi N, Kumar R, Nichols S, Malin J, Hunt A, Schultz C, Cao Y, Tillo D, Nousome D, Chauhan L, Sciuto L, Jordan K, Rajapakse V, Tandon M, Lissa D, Zhang Y, Kumar S, Pongor L, Singh A, Schroder B, Sharma AK, Chang T, Vilimas R, Pinkiert D, Graham C, Butcher D, Warner A, Sebastian R, Mahon M, Baker K, Cheng J, Berger A, Lake R, Abel M, Krishnamurthy M, Chrisafis G, Fitzgerald P, Nirula M, Goyal S, Atkinson D, Bateman NW, Abulez T, Nair G, Apolo A, Guha U, Karim B, El Meskini R, Ohler ZW, Jolly MK, Schaffer A, Ruppin E, Kleiner D, Miettinen M, Brown GT, Hewitt S, Conrads T, Thomas A. Microenvironment shapes small-cell lung cancer neuroendocrine states and presents therapeutic opportunities. Cell Rep Med 2024; 5:101610. [PMID: 38897168 DOI: 10.1016/j.xcrm.2024.101610] [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: 03/02/2023] [Revised: 08/04/2023] [Accepted: 05/17/2024] [Indexed: 06/21/2024]
Abstract
Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intratumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the cell-extrinsic drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the TME exhibit substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAFs) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting exceptionally poor prognosis. Our work provides a comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLC's adaptable nature, opening possibilities for reprogramming the TME-tumor communications that shape SCLC tumor states.
Collapse
Affiliation(s)
- Parth Desai
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, Fox Chase Cancer Center, Temple University Hospital and Lewis Katz School of Medicine, Philadelphia, PA, USA
| | - Nobuyuki Takahashi
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Rajesh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samantha Nichols
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Justin Malin
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison Hunt
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Christopher Schultz
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yingying Cao
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Desiree Tillo
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Darryl Nousome
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lakshya Chauhan
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Linda Sciuto
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kimberly Jordan
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vinodh Rajapakse
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mayank Tandon
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Delphine Lissa
- Laboratory of Human Carcinogenesis, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yang Zhang
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Suresh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lorinc Pongor
- HCEMM Cancer Genomics and Epigenetics Research Group, Szeged, Hungary
| | - Abhay Singh
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Brett Schroder
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ajit Kumar Sharma
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tiangen Chang
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rasa Vilimas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Pinkiert
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chante Graham
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Donna Butcher
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Andrew Warner
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Robin Sebastian
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mimi Mahon
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Karen Baker
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Jennifer Cheng
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ann Berger
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ross Lake
- Laboratory of Genitourinary cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Melissa Abel
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Manan Krishnamurthy
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George Chrisafis
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Fitzgerald
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Micheal Nirula
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shubhank Goyal
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Devon Atkinson
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Nicholas W Bateman
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Tamara Abulez
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrea Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Udayan Guha
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Baktiar Karim
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Rajaa El Meskini
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Zoe Weaver Ohler
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Mohit Kumar Jolly
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Alejandro Schaffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David Kleiner
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Markku Miettinen
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - G Tom Brown
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Hewitt
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas Conrads
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| |
Collapse
|
5
|
Unterman I, Avrahami D, Katsman E, Tim T, Glaser B, Berman BP. CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes. Genome Biol 2024; 25:151. [PMID: 38858759 PMCID: PMC11163775 DOI: 10.1186/s13059-024-03275-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: 08/20/2023] [Accepted: 05/13/2024] [Indexed: 06/12/2024] Open
Abstract
Deconvolution methods infer quantitative cell type estimates from bulk measurement of mixed samples including blood and tissue. DNA methylation sequencing measures multiple CpGs per read, but few existing deconvolution methods leverage this within-read information. We develop CelFiE-ISH, which extends an existing method (CelFiE) to use within-read haplotype information. CelFiE-ISH outperforms CelFiE and other existing methods, achieving 30% better accuracy and more sensitive detection of rare cell types. We also demonstrate the importance of marker selection and of tailoring markers for haplotype-aware methods. While here we use gold-standard short-read sequencing data, haplotype-aware methods will be well-suited for long-read sequencing.
Collapse
Affiliation(s)
- Irene Unterman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dana Avrahami
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Endocrinology and Metabolism, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Efrat Katsman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Triche Tim
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI, USA
| | - Benjamin Glaser
- Department of Endocrinology and Metabolism, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Benjamin P Berman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
| |
Collapse
|
6
|
Choudhury AD, Kwak L, Cheung A, Allaire KM, Marquez J, Yang DD, Tripathi A, Kilar JM, Flynn M, Maynard B, Reichel R, Pace AF, Chen BK, Van Allen EM, Kilbridge K, Wei XX, McGregor BA, Pomerantz MM, Bhatt RS, Sweeney CJ, Bubley GJ, Jacene HA, Taplin ME, Huang FW, Harshman LC, Fong L. Randomized Phase II Study Evaluating the Addition of Pembrolizumab to Radium-223 in Metastatic Castration-resistant Prostate Cancer. Cancer Immunol Res 2024; 12:704-718. [PMID: 38552171 PMCID: PMC11148544 DOI: 10.1158/2326-6066.cir-22-0306] [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: 04/26/2022] [Revised: 08/15/2023] [Accepted: 03/08/2024] [Indexed: 06/05/2024]
Abstract
The checkpoint immunotherapeutic pembrolizumab induces responses in a small minority of patients with metastatic castration-resistant prostate cancer (mCRPC). Radium-223 (R223) may increase immunogenicity of bone metastases and increase pembrolizumab (P) activity. In a randomized phase II study, we assessed the effect of R223+P compared with R223 on tumor immune infiltration, safety, and clinical outcomes in patients with mCRPC. The primary endpoint was differences in CD4+ and CD8+ T-cell infiltrate in 8-week versus baseline bone metastasis biopsies; secondary endpoints were safety, radiographic progression-free survival (rPFS), and overall survival (OS). Of the 42 treated patients (29 R223+P, 13 R223), 18 R223+P and 8 R223 patients had evaluable paired tumor biopsies. Median fold-change of CD4+ T cells was -0.7 (range: -9.3 to 4.7) with R223+P and 0.1 (-11.1 to 3.7) with R223 (P = 0.66); for CD8+ T cells, median fold-change was -0.6 (-7.4 to 5.3) with R223+P and -1.3 (-3.1 to 4.8) with R223 (P = 0.66). Median rPFS and OS was 6.1 (95% confidence interval: 2.7-11.0) and 16.9 months [12.7-not reached (NR)], respectively, with R223+P and 5.7 (2.6-NR) and 16.0 (9.0-NR), respectively, with R223. Although R223+P was well tolerated with no unexpected toxicity, the combination did not improve efficacy. High-dimensional flow cytometry demonstrated minimal immune modulation with R223, whereas R223+P induced CTLA-4 expression on circulating CD4+ T cells. Clinical responders possessed lower circulating frequencies of Ki67+ T and myeloid cells at baseline and higher circulating frequencies of TIM-3+ T and myeloid cells by week 9. Although R223+P did not induce T-cell infiltration into the tumor microenvironment, exhaustion of induced peripheral T-cell immune responses may dampen the combination's clinical activity.
Collapse
Affiliation(s)
- Atish D Choudhury
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Lucia Kwak
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alexander Cheung
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Kathryn M Allaire
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Jaqueline Marquez
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - David D Yang
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | | | | | | | - Rebecca Reichel
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | | | - Brandon K Chen
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Eliezer M Van Allen
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Kerry Kilbridge
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Xiao X Wei
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Bradley A McGregor
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Mark M Pomerantz
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Rupal S Bhatt
- Harvard Medical School, Boston, Massachusetts
- Beth-Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Glenn J Bubley
- Harvard Medical School, Boston, Massachusetts
- Beth-Israel Deaconess Medical Center, Boston, Massachusetts
| | - Heather A Jacene
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Mary-Ellen Taplin
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Franklin W Huang
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | | | - Lawrence Fong
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| |
Collapse
|
7
|
Feinberg J, Da Cruz Paula A, da Silva EM, Pareja F, Patel J, Zhu Y, Selenica P, Leitao MM, Abu-Rustum NR, Reis-Filho JS, Joehlin-Price A, Weigelt B. Adenoid cystic carcinoma of the Bartholin's gland is underpinned by MYB- and MYBL1- rearrangements. Gynecol Oncol 2024; 185:58-67. [PMID: 38368814 PMCID: PMC11179993 DOI: 10.1016/j.ygyno.2024.02.015] [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: 01/13/2024] [Accepted: 02/09/2024] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Adenoid cystic carcinoma (AdCC) of the Bartholin's gland (AdCC-BG) is a very rare gynecologic vulvar malignancy. AdCC-BGs are slow-growing but locally aggressive and are associated with high recurrence rates. Here we sought to characterize the molecular underpinning of AdCC-BGs. METHODS AdCC-BGs (n = 6) were subjected to a combination of RNA-sequencing, targeted DNA-sequencing, reverse-transcription PCR, fluorescence in situ hybridization (FISH) and MYB immunohistochemistry (IHC). Clinicopathologic variables, somatic mutations, copy number alterations and chimeric transcripts were assessed. RESULTS All six AdCC-BGs were biphasic, composed of ductal and myoepithelial cells. Akin to salivary gland and breast AdCCs, three AdCC-BGs had the MYB::NFIB fusion gene with varying breakpoints, all of which were associated with MYB overexpression by IHC. Two AdCC-BGs were underpinned by MYBL1 fusion genes with different gene partners, including MYBL1::RAD51B and MYBL1::EWSR1 gene fusions, and showed MYB protein expression. Although the final AdCC-BG studied had MYB protein overexpression, no gene fusion was identified. AdCC-BGs harbored few additional somatic genetic alterations, and only few mutations in cancer-related genes were identified, including GNAQ, GNAS, KDM6A, AKT1 and BCL2, none of which were recurrent. Two AdCC-BGs, both with a MYB::NFIB fusion gene, developed metastatic disease. CONCLUSIONS AdCC-BGs constitute a convergent phenotype, whereby activation of MYB or MYBL1 can be driven by the MYB::NFIB fusion gene or MYBL1 rearrangements. Our observations further support the notion that AdCCs, irrespective of organ site, constitute a genotypic-phenotypic correlation. Assessment of MYB or MYBL1 rearrangements may be used as an ancillary marker for the diagnosis of AdCC-BGs.
Collapse
Affiliation(s)
- Jacqueline Feinberg
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juber Patel
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yingjie Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mario M Leitao
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Joehlin-Price
- Cleveland Clinic Pathology and Laboratory Medicine Institute, Cleveland, OH, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
8
|
Yasumizu Y, Hagiwara M, Umezu Y, Fuji H, Iwaisako K, Asagiri M, Uemoto S, Nakamura Y, Thul S, Ueyama A, Yokoi K, Tanemura A, Nose Y, Saito T, Wada H, Kakuda M, Kohara M, Nojima S, Morii E, Doki Y, Sakaguchi S, Ohkura N. Neural-net-based cell deconvolution from DNA methylation reveals tumor microenvironment associated with cancer prognosis. NAR Cancer 2024; 6:zcae022. [PMID: 38751935 PMCID: PMC11094754 DOI: 10.1093/narcan/zcae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/18/2024] [Accepted: 05/01/2024] [Indexed: 05/18/2024] Open
Abstract
DNA methylation is a pivotal epigenetic modification that defines cellular identity. While cell deconvolution utilizing this information is considered useful for clinical practice, current methods for deconvolution are limited in their accuracy and resolution. In this study, we collected DNA methylation data from 945 human samples derived from various tissues and tumor-infiltrating immune cells and trained a neural network model with them. The model, termed MEnet, predicted abundance of cell population together with the detailed immune cell status from bulk DNA methylation data, and showed consistency to those of flow cytometry and histochemistry. MEnet was superior to the existing methods in the accuracy, speed, and detectable cell diversity, and could be applicable for peripheral blood, tumors, cell-free DNA, and formalin-fixed paraffin-embedded sections. Furthermore, by applying MEnet to 72 intrahepatic cholangiocarcinoma samples, we identified immune cell profiles associated with cancer prognosis. We believe that cell deconvolution by MEnet has the potential for use in clinical settings.
Collapse
Affiliation(s)
- Yoshiaki Yasumizu
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka, Japan
| | - Masaki Hagiwara
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
- Department of Basic Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Pharmaceutical Research Division, Shionogi & Co., Ltd., Toyonaka, Osaka, Japan
| | - Yuto Umezu
- Faculty of Medicine, Osaka University, Suita, Osaka, Japan
| | - Hiroaki Fuji
- Department of Hepato-Biliary-Pancreatic Surgery, Hyogo Medical University, Nishinomiya, Hyogo, Japan
- Division of Hepato-Biliary-Pancreatic Surgery and Transplantation, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Kyoto, Japan
| | - Keiko Iwaisako
- Division of Hepato-Biliary-Pancreatic Surgery and Transplantation, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Kyoto, Japan
- Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, Kyoto, Japan
| | - Masataka Asagiri
- Department of Pharmacology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Shinji Uemoto
- Shiga University Medical Science, Otsu, Shiga, Japan
| | - Yamami Nakamura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
| | - Sophia Thul
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
| | - Azumi Ueyama
- Pharmaceutical Research Division, Shionogi & Co., Ltd., Toyonaka, Osaka, Japan
- Department of Clinical Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Kazunori Yokoi
- Department of Dermatology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Atsushi Tanemura
- Department of Dermatology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Yohei Nose
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Takuro Saito
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Hisashi Wada
- Department of Clinical Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Mamoru Kakuda
- Department of Obstetrics and Gynecology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Masaharu Kohara
- Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Satoshi Nojima
- Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Eiichi Morii
- Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Yuichiro Doki
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Shimon Sakaguchi
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
- Department of Experimental Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Kyoto, Japan
| | - Naganari Ohkura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
- Department of Basic Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| |
Collapse
|
9
|
Coorens THH, Spencer Chapman M, Williams N, Martincorena I, Stratton MR, Nangalia J, Campbell PJ. Reconstructing phylogenetic trees from genome-wide somatic mutations in clonal samples. Nat Protoc 2024; 19:1866-1886. [PMID: 38396041 DOI: 10.1038/s41596-024-00962-8] [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: 11/23/2022] [Accepted: 12/13/2023] [Indexed: 02/25/2024]
Abstract
Phylogenetic trees are a powerful means to display the evolutionary history of species, pathogens and, more recently, individual cells of the human body. Whole-genome sequencing of laser capture microdissections or expanded stem cells has allowed the discovery of somatic mutations in clones, which can be used as natural barcodes to reconstruct the developmental history of individual cells. Here we describe Sequoia, our pipeline to reconstruct lineage trees from clones of normal cells. Candidate somatic mutations are called against the human reference genome and filtered to exclude germline mutations and artifactual variants. These filtered somatic mutations form the basis for phylogeny reconstruction using a maximum parsimony framework. Lastly, we use a maximum likelihood framework to explicitly map mutations to branches in the phylogenetic tree. The resulting phylogenies can then serve as a basis for many subsequent analyses, including investigating embryonic development, tissue dynamics in health and disease, and mutational signatures. Sequoia can be readily applied to any clonal somatic mutation dataset, including single-cell DNA sequencing datasets, using the commands and scripts provided. Moreover, Sequoia is highly flexible and can be easily customized. Typically, the runtime of the core script ranges from minutes to an hour for datasets with a moderate number (50,000-150,000) of variants. Competent bioinformatic skills, including in-depth knowledge of the R programming language, are required. A high-performance computing cluster (one that is capable of running mutation-calling algorithms and other aspects of the analysis at scale) is also required, especially if handling large datasets.
Collapse
Affiliation(s)
- Tim H H Coorens
- Wellcome Sanger Institute, Hinxton, UK.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Michael Spencer Chapman
- Wellcome Sanger Institute, Hinxton, UK.
- Department of Haematology, Barts Health NHS Trust, London, UK.
- Department of Haemato-oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
| | | | | | | | - Jyoti Nangalia
- Wellcome Sanger Institute, Hinxton, UK
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Peter J Campbell
- Wellcome Sanger Institute, Hinxton, UK.
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK.
| |
Collapse
|
10
|
Abdelrahman Z, Abdelatty A, Luo J, McKnight AJ, Wang X. Stratification of glioma based on stemness scores in bulk and single-cell transcriptomes. Comput Biol Med 2024; 175:108304. [PMID: 38663352 DOI: 10.1016/j.compbiomed.2024.108304] [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: 10/28/2023] [Revised: 03/07/2024] [Accepted: 03/12/2024] [Indexed: 05/15/2024]
Abstract
BACKGROUND Brain tumours are known to have a high mortality and morbidity rate due to their localised and frequent invasive growth. The concept that glioma resistance could originate from the dissimilarity in the vulnerability of clonogenic glial stem cells to chemotherapeutic drugs and radiation has driven the scientific community to reexamine the comprehension of glioma growth and strategies that target these cells or modify their stemness. METHODS Based on the enrichment scores of 12 stemness signatures, we identified glioma subtypes in both tumour bulks and single cells by clustering analysis. Furthermore, we comprehensively compared molecular and clinical features among the glioma subtypes. RESULTS Consistently, in seven different datasets, hierarchical clustering uncovered three subtypes of glioma, termed Stem-H, Stem-M, and Stem-L, with high, medium, and low stemness signatures, respectively. Stem-H and Stem-L exhibited the most unfavorable and favourable overall and disease-free survival, respectively. Stem-H showed the highest enrichment scores of the EMT, invasion, proliferation, differentiation, and metastasis processes signatures, while Stem-L displayed the lowest. Stem-H harboured a greater proportion of late-stage tumours compared to Stem-L. Moreover, Stem-H manifested higher tumour mutation burden, DNA damage repair and cell cycle activity, intratumour heterogeneity, and a more frequent incidence of TP53 and EGFR mutations than Stem-L. In contrast, Stem-L had higher O6-Methylguanine-DNA Methyltransferase (MGMT) methylation levels. CONCLUSION The classification of glioma based on stemness may offer new insights into the biology of the tumour, as well as more accurate clinical management of the disease.
Collapse
Affiliation(s)
- Zeinab Abdelrahman
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast, BT12 6BA, UK.
| | - Alaa Abdelatty
- Department of Pathology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt
| | - Jiangti Luo
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Amy Jayne McKnight
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast, BT12 6BA, UK
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China.
| |
Collapse
|
11
|
Drexler R, Khatri R, Sauvigny T, Mohme M, Maire CL, Ryba A, Zghaibeh Y, Dührsen L, Salviano-Silva A, Lamszus K, Westphal M, Gempt J, Wefers AK, Neumann JE, Bode H, Hausmann F, Huber TB, Bonn S, Jütten K, Delev D, Weber KJ, Harter PN, Onken J, Vajkoczy P, Capper D, Wiestler B, Weller M, Snijder B, Buck A, Weiss T, Göller PC, Sahm F, Menstel JA, Zimmer DN, Keough MB, Ni L, Monje M, Silverbush D, Hovestadt V, Suvà ML, Krishna S, Hervey-Jumper SL, Schüller U, Heiland DH, Hänzelmann S, Ricklefs FL. A prognostic neural epigenetic signature in high-grade glioma. Nat Med 2024; 30:1622-1635. [PMID: 38760585 PMCID: PMC11186787 DOI: 10.1038/s41591-024-02969-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: 08/07/2023] [Accepted: 04/03/2024] [Indexed: 05/19/2024]
Abstract
Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is limited. We present an epigenetically defined neural signature of glioblastoma that independently predicts patients' survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors. High-neural glioblastomas exhibit hypomethylated CpG sites and upregulation of genes associated with synaptic integration. Single-cell transcriptomic analysis reveals a high abundance of malignant stemcell-like cells in high-neural glioblastoma, primarily of the neural lineage. These cells are further classified as neural-progenitor-cell-like, astrocyte-like and oligodendrocyte-progenitor-like, alongside oligodendrocytes and excitatory neurons. In line with these findings, high-neural glioblastoma cells engender neuron-to-glioma synapse formation in vitro and in vivo and show an unfavorable survival after xenografting. In patients, a high-neural signature is associated with decreased overall and progression-free survival. High-neural tumors also exhibit increased functional connectivity in magnetencephalography and resting-state magnet resonance imaging and can be detected via DNA analytes and brain-derived neurotrophic factor in patients' plasma. The prognostic importance of the neural signature was further validated in patients diagnosed with diffuse midline glioma. Our study presents an epigenetically defined malignant neural signature in high-grade gliomas that is prognostically relevant. High-neural gliomas likely require a maximized surgical resection approach for improved outcomes.
Collapse
Affiliation(s)
- Richard Drexler
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Robin Khatri
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cecile L Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yahya Zghaibeh
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Amanda Salviano-Silva
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annika K Wefers
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia E Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Molecular Neurobiology Hamburg (ZMNH), University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Helena Bode
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Fabian Hausmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kerstin Jütten
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
| | - Daniel Delev
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
- Department of Neurosurgery, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Katharina J Weber
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- University Cancer Center (UCT) Frankfurt, Frankfurt am Main, Germany
| | - Patrick N Harter
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- Institute of Neuropathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Capper
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Berend Snijder
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Alicia Buck
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Pauline C Göller
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Sahm
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Joelle Aline Menstel
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - David Niklas Zimmer
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | | | - Lijun Ni
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Michelle Monje
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Dana Silverbush
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Volker Hovestadt
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mario L Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
- Translational Neurosurgery, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Sonja Hänzelmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| |
Collapse
|
12
|
Widman AJ, Shah M, Frydendahl A, Halmos D, Khamnei CC, Øgaard N, Rajagopalan S, Arora A, Deshpande A, Hooper WF, Quentin J, Bass J, Zhang M, Langanay T, Andersen L, Steinsnyder Z, Liao W, Rasmussen MH, Henriksen TV, Jensen SØ, Nors J, Therkildsen C, Sotelo J, Brand R, Schiffman JS, Shah RH, Cheng AP, Maher C, Spain L, Krause K, Frederick DT, den Brok W, Lohrisch C, Shenkier T, Simmons C, Villa D, Mungall AJ, Moore R, Zaikova E, Cerda V, Kong E, Lai D, Malbari MS, Marton M, Manaa D, Winterkorn L, Gelmon K, Callahan MK, Boland G, Potenski C, Wolchok JD, Saxena A, Turajlic S, Imielinski M, Berger MF, Aparicio S, Altorki NK, Postow MA, Robine N, Andersen CL, Landau DA. Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment. Nat Med 2024; 30:1655-1666. [PMID: 38877116 DOI: 10.1038/s41591-024-03040-4] [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: 12/21/2023] [Accepted: 04/30/2024] [Indexed: 06/16/2024]
Abstract
In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate assessment of minimal residual disease (MRD) and therapeutic response monitoring. To overcome the sparsity of ctDNA fragments in low tumor fraction (TF) settings and increase MRD sensitivity, we previously leveraged genome-wide mutational integration through plasma whole-genome sequencing (WGS). Here we now introduce MRD-EDGE, a machine-learning-guided WGS ctDNA single-nucleotide variant (SNV) and copy-number variant (CNV) detection platform designed to increase signal enrichment. MRD-EDGESNV uses deep learning and a ctDNA-specific feature space to increase SNV signal-to-noise enrichment in WGS by ~300× compared to previous WGS error suppression. MRD-EDGECNV also reduces the degree of aneuploidy needed for ultrasensitive CNV detection through WGS from 1 Gb to 200 Mb, vastly expanding its applicability within solid tumors. We harness the improved performance to identify MRD following surgery in multiple cancer types, track changes in TF in response to neoadjuvant immunotherapy in lung cancer and demonstrate ctDNA shedding in precancerous colorectal adenomas. Finally, the radical signal-to-noise enrichment in MRD-EDGESNV enables plasma-only (non-tumor-informed) disease monitoring in advanced melanoma and lung cancer, yielding clinically informative TF monitoring for patients on immune-checkpoint inhibition.
Collapse
Affiliation(s)
- Adam J Widman
- New York Genome Center, New York, NY, USA.
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | | | - Amanda Frydendahl
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Daniel Halmos
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Cole C Khamnei
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Nadia Øgaard
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Srinivas Rajagopalan
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Anushri Arora
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Aditya Deshpande
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | | | - Jean Quentin
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Jake Bass
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Mingxuan Zhang
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Theophile Langanay
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Laura Andersen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Will Liao
- New York Genome Center, New York, NY, USA
| | - Mads Heilskov Rasmussen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Tenna Vesterman Henriksen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Sarah Østrup Jensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jesper Nors
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Christina Therkildsen
- Gastro Unit, Copenhagen University Hospital, Amager - Hvidovre Hospital, Hvidovre, Denmark
| | - Jesus Sotelo
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Ryan Brand
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Joshua S Schiffman
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Ronak H Shah
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Colleen Maher
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Lavinia Spain
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
- Renal and Skin Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Kate Krause
- Mass General Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Dennie T Frederick
- Mass General Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Wendie den Brok
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Caroline Lohrisch
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Tamara Shenkier
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Christine Simmons
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Diego Villa
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Andrew J Mungall
- Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada
| | - Richard Moore
- Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada
| | - Elena Zaikova
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Viviana Cerda
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Esther Kong
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Daniel Lai
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | | | - Dina Manaa
- New York Genome Center, New York, NY, USA
| | | | - Karen Gelmon
- Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Genevieve Boland
- Mass General Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Catherine Potenski
- New York Genome Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Jedd D Wolchok
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Samra Turajlic
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
- Renal and Skin Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Sam Aparicio
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Michael A Postow
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | | | - Claus Lindbjerg Andersen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Dan A Landau
- New York Genome Center, New York, NY, USA.
- Weill Cornell Medicine, New York, NY, USA.
| |
Collapse
|
13
|
Min Q, Zhang M, Lin D, Zhang W, Li X, Zhao L, Teng H, He T, Sun W, Fan J, Yu X, Chen J, Li J, Gao X, Dong B, Liu R, Liu X, Song Y, Cui Y, Lu SH, Li R, Guo M, Wang Y, Zhan Q. Genomic characterization and risk stratification of esophageal squamous dysplasia. MEDICAL REVIEW (2021) 2024; 4:244-256. [PMID: 38919397 PMCID: PMC11195426 DOI: 10.1515/mr-2024-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/15/2024] [Indexed: 06/27/2024]
Abstract
Objectives The majority of esophageal squamous dysplasia (ESD) patients progress slowly, while a subset of patients can undergo recurrence rapidly or progress to invasive cancer even after proper treatment. However, the molecular mechanisms underlying these clinical observations are still largely unknown. Methods By sequencing the genomic data of 160 clinical samples from 49 tumor-free ESD patients and 88 esophageal squamous cell carcinoma (ESCC) patients, we demonstrated lower somatic mutation and copy number alteration (CNA) burden in ESD compared with ESCC. Results Cross-species screening and functional assays identified ACSM5 as a novel driver gene for ESD progression. Furthermore, we revealed that miR-4292 promoted ESD progression and could serve as a non-invasive diagnostic marker for ESD. Conclusions These findings largely expanded our understanding of ESD genetics and tumorigenesis, which possessed promising significance for improving early diagnosis, reducing overtreatment, and identifying high-risk ESD patients.
Collapse
Affiliation(s)
- Qingjie Min
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | | | - Dongmei Lin
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Weimin Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xianfeng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Lianmei Zhao
- Research Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Huajing Teng
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Tao He
- Department of Gastroenterology & Hepatology, Chinese PLA General Hospital, Beijing, China
- Department of Pathology, Characteristic Medical Center of Chinese People’s Armed Police Force, Tianjin, China
| | - Wei Sun
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Jiawen Fan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiying Yu
- Department of Etiology and Carcinogenesis and State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jinting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaohan Gao
- State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Rui Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xuefeng Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Yongmei Song
- State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongping Cui
- Shenzhen Peking University-The Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Shih-Hsin Lu
- Department of Etiology and Carcinogenesis and State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Mingzhou Guo
- Department of Gastroenterology & Hepatology, Chinese PLA General Hospital, Beijing, China
| | - Yan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qimin Zhan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
- Peking University International Cancer Institute, Peking University, Beijing, China
- Soochow University Cancer Institute, Suzhou, China
- State Key Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| |
Collapse
|
14
|
Li GX, Chen L, Hsiao Y, Mannan R, Zhang Y, Luo J, Petralia F, Cho H, Hosseini N, Leprevost FDV, Calinawan A, Li Y, Anand S, Dagar A, Geffen Y, Kumar-Sinha C, Chugh S, Le A, Ponce S, Guo S, Zhang C, Schnaubelt M, Al Deen NN, Chen F, Caravan W, Houston A, Hopkins A, Newton CJ, Wang X, Polasky DA, Haynes S, Yu F, Jing X, Chen S, Robles AI, Mesri M, Thiagarajan M, An E, Getz GA, Linehan WM, Hostetter G, Jewell SD, Chan DW, Wang P, Omenn GS, Mehra R, Ricketts CJ, Ding L, Chinnaiyan AM, Cieslik MP, Dhanasekaran SM, Zhang H, Nesvizhskii AI. Comprehensive proteogenomic characterization of rare kidney tumors. Cell Rep Med 2024; 5:101547. [PMID: 38703764 PMCID: PMC11148773 DOI: 10.1016/j.xcrm.2024.101547] [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: 03/20/2023] [Revised: 09/29/2023] [Accepted: 04/10/2024] [Indexed: 05/06/2024]
Abstract
Non-clear cell renal cell carcinomas (non-ccRCCs) encompass diverse malignant and benign tumors. Refinement of differential diagnosis biomarkers, markers for early prognosis of aggressive disease, and therapeutic targets to complement immunotherapy are current clinical needs. Multi-omics analyses of 48 non-ccRCCs compared with 103 ccRCCs reveal proteogenomic, phosphorylation, glycosylation, and metabolic aberrations in RCC subtypes. RCCs with high genome instability display overexpression of IGF2BP3 and PYCR1. Integration of single-cell and bulk transcriptome data predicts diverse cell-of-origin and clarifies RCC subtype-specific proteogenomic signatures. Expression of biomarkers MAPRE3, ADGRF5, and GPNMB differentiates renal oncocytoma from chromophobe RCC, and PIGR and SOSTDC1 distinguish papillary RCC from MTSCC. This study expands our knowledge of proteogenomic signatures, biomarkers, and potential therapeutic targets in non-ccRCC.
Collapse
Affiliation(s)
- Ginny Xiaohe Li
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lijun Chen
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Yi Hsiao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Rahul Mannan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jie Luo
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hanbyul Cho
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Noshad Hosseini
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Anna Calinawan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Shankara Anand
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Aniket Dagar
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA
| | - Chandan Kumar-Sinha
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Seema Chugh
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Anne Le
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Sean Ponce
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, USA
| | - Shenghao Guo
- Department of Biomedical Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, USA
| | - Cissy Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Michael Schnaubelt
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Nataly Naser Al Deen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Andrew Houston
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Alex Hopkins
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Xiaoming Wang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Daniel A Polasky
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sarah Haynes
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Xiaojun Jing
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Siqi Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | | | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Gad A Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Daniel W Chan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Rohit Mehra
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christopher J Ricketts
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Marcin P Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Saravana M Dhanasekaran
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
15
|
Shahrouzi P, Forouz F, Mathelier A, Kristensen VN, Duijf PHG. Copy number alterations: a catastrophic orchestration of the breast cancer genome. Trends Mol Med 2024:S1471-4914(24)00120-5. [PMID: 38772764 DOI: 10.1016/j.molmed.2024.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/12/2024] [Accepted: 04/26/2024] [Indexed: 05/23/2024]
Abstract
Breast cancer (BCa) is a prevalent malignancy that predominantly affects women around the world. Somatic copy number alterations (CNAs) are tumor-specific amplifications or deletions of DNA segments that often drive BCa development and therapy resistance. Hence, the complex patterns of CNAs complement BCa classification systems. In addition, understanding the precise contributions of CNAs is essential for tailoring personalized treatment approaches. This review highlights how tumor evolution drives the acquisition of CNAs, which in turn shape the genomic landscapes of BCas. It also discusses advanced methodologies for identifying recurrent CNAs, studying CNAs in BCa and their clinical impact.
Collapse
Affiliation(s)
- Parastoo Shahrouzi
- Department of Medical Genetics, Institute of Basic Medical Science, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.
| | - Farzaneh Forouz
- School of Pharmacy, University of Queensland, Woolloongabba, Brisbane, Australia
| | - Anthony Mathelier
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318 Oslo, Norway; Center for Bioinformatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway; Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Vessela N Kristensen
- Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway; Division of Medicine, Department of Clinical Molecular Biology and Laboratory Science (EpiGen), Akershus University Hospital, Lørenskog, Norway; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Pascal H G Duijf
- Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway; Centre for Cancer Biology, UniSA Clinical and Health Sciences, University of South Australia and SA Pathology, Adelaide, Australia.
| |
Collapse
|
16
|
Voutsadakis IA. Molecular alterations in claudin 18 suppressed and non-suppressed gastric adenocarcinomas to guide targeted therapies. Tissue Barriers 2024:2348852. [PMID: 38713052 DOI: 10.1080/21688370.2024.2348852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 04/24/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Gastric adenocarcinoma represents an aggressive type of cancer and an important cause of cancer mortality. Progress in gastric cancer therapeutics has resulted from a better understanding of the molecular pathogenesis of the disease and introduction of targeted therapies, but most gastric cancer patients still rely on non-targeted chemotherapy as the mainstay of treatment for advanced disease. METHODS An analysis of publicly available series from The Cancer Genome Atlas (TCGA) gastric cancer cohort was undertaken to delineate the clinical and genomic landscape of gastric cancers with suppressed expression of claudin 18 compared with cancers with non-suppressed claudin 18. Claudin 18 suppressed cancers were defined as having an mRNA expression z-score relative to normal samples (log RNA Seq V2) of less than -1. Claudin 18 non-suppressed cancers were defined as having an mRNA expression z-score relative to normal samples (log RNA Seq V2) above 0.5. RESULTS Gastric cancers with claudin 18 mRNA suppression represented 7.7% of the gastric adenocarcinomas of TCGA cohort, while non-suppressed cancers represented 46.6% of the cases. The two groups did not differ in clinical and genomic characteristics, such as mean age, histology, grade, and stage. The mutation landscape of claudin 18 suppressed cases included high mutation rates of TP53, of genes of the WNT/β-catenin pathway and of ubiquitin ligase FBXW7. Moreover, a subset of both claudin 18 suppressed and non-suppressed cancers displayed mutations in Mismatch Repair (MMR) associated genes or a high tumor mutation burden (TMB). At the mRNA expression level, claudin 18 suppressed gastric cancers showed up-regulation of EMT core transcription factor Snail 2 and down-regulation of genes of HLA cluster. The survival of gastric cancer patients with claudin 18 mRNA suppression was not significantly different compared with patients with non-suppressed claudin 18. CONCLUSION Sub-sets of gastric cancers with claudin 18 mRNA suppression displayed characteristics of potential therapeutic interest, such as mutations in WNT and PI3K pathways and MMR defects. These may guide the development of alternative targeted therapies, in this sub-set of gastric cancers which are not candidates for claudin 18 targeting therapies.
Collapse
Affiliation(s)
- Ioannis A Voutsadakis
- Algoma District Cancer Program, Sault Area Hospital, Sault Ste Marie, Ontario, Canada
- Division of Clinical Sciences, Section of Internal Medicine, Northern Ontario School of Medicine, Sudbury, ON, Canada
| |
Collapse
|
17
|
Pei G, Sun K, Yang Y, Wang S, Li M, Ma X, Wang H, Chen L, Qin J, Cao S, Liu J, Huang Y. Classification of multiple primary lung cancer in patients with multifocal lung cancer: assessment of a machine learning approach using multidimensional genomic data. Front Oncol 2024; 14:1388575. [PMID: 38764572 PMCID: PMC11100425 DOI: 10.3389/fonc.2024.1388575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/08/2024] [Indexed: 05/21/2024] Open
Abstract
Background Multiple primary lung cancer (MPLC) is an increasingly well-known clinical phenomenon. However, its molecular characterizations are poorly understood, and still lacks of effective method to distinguish it from intrapulmonary metastasis (IM). Herein, we propose an identification model based on molecular multidimensional analysis in order to accurately optimize treatment. Methods A total of 112 Chinese lung cancers harboring at least two tumors (n = 270) were enrolled. We retrospectively selected 74 patients with 121 tumor pairs and randomly divided the tumor pairs into a training cohort and a test cohort in a 7:3 ratio. A novel model was established in training cohort, optimized for MPLC identification using comprehensive genomic profiling analyzed by a broad panel with 808 cancer-related genes, and evaluated in the test cohort and a prospective validation cohort of 38 patients with 112 tumors. Results We found differences in molecular characterizations between the two diseases and rigorously selected the characterizations to build an identification model. We evaluated the performance of the classifier using the test cohort data and observed an 89.5% percent agreement (PA) for MPLC and a 100.0% percent agreement for IM. The model showed an excellent area under the curve (AUC) of 0.947 and a 91.3% overall accuracy. Similarly, the assay achieved a considerable performance in the independent validation set with an AUC of 0.938 and an MPLC predictive value of 100%. More importantly, the MPLC predictive value of the classification achieved 100% in both the test set and validation cohort. Compared to our previous mutation-based method, the classifier showed better κ consistencies with clinical classification among all 112 patients (0.84 vs. 0.65, p <.01). Conclusion These data provide novel evidence of MPLC-specific genomic characteristics and demonstrate that our one-step molecular classifier can accurately classify multifocal lung tumors as MPLC or IM, which suggested that broad panel NGS may be a useful tool for assisting with differential diagnoses.
Collapse
Affiliation(s)
- Guotian Pei
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Kunkun Sun
- Department of Pathology, Peking University People’s Hospital, Beijing, China
| | - Yingshun Yang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Shuai Wang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Mingwei Li
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Xiaoxue Ma
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Huina Wang
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Libin Chen
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Jiayue Qin
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Shanbo Cao
- Department of Medical Affairs, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Jun Liu
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Yuqing Huang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| |
Collapse
|
18
|
Rickles-Young M, Tinoco G, Tsuji J, Pollock S, Haynam M, Lefebvre H, Glover K, Owen DH, Collier KA, Ha G, Adalsteinsson VA, Cibulskis C, Lennon NJ, Stover DG. Assay Validation of Cell-Free DNA Shallow Whole-Genome Sequencing to Determine Tumor Fraction in Advanced Cancers. J Mol Diagn 2024; 26:413-422. [PMID: 38490303 PMCID: PMC11090203 DOI: 10.1016/j.jmoldx.2024.01.014] [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: 04/05/2023] [Revised: 09/21/2023] [Accepted: 01/18/2024] [Indexed: 03/17/2024] Open
Abstract
Blood-based liquid biopsy is increasingly used in clinical care of patients with cancer, and fraction of tumor-derived DNA in circulation (tumor fraction; TFx) has demonstrated clinical validity across multiple cancer types. To determine TFx, shallow whole-genome sequencing of cell-free DNA (cfDNA) can be performed from a single blood sample, using an established computational pipeline (ichorCNA), without prior knowledge of tumor mutations, in a highly cost-effective manner. We describe assay validation of this approach to facilitate broad clinical application, including evaluation of assay sensitivity, precision, repeatability, reproducibility, pre-analytic factors, and DNA quality/quantity. Sensitivity to detect TFx of 3% (lower limit of detection) was 97.2% to 100% at 1× and 0.1× mean sequencing depth, respectively. Precision was demonstrated on distinct sequencing instruments (HiSeqX and NovaSeq) with no observable differences. The assay achieved prespecified 95% agreement of TFx across replicates of the same specimen (repeatability) and duplicate samples in different batches (reproducibility). Comparison of samples collected in EDTA and Streck tubes from single venipuncture in 23 patients demonstrated that EDTA or Streck tubes were comparable if processed within 8 hours. On the basis of a range of DNA inputs (1 to 50 ng), 20 ng cfDNA is the preferred input, with 5 ng minimum acceptable. Overall, this shallow whole-genome sequencing of cfDNA and ichorCNA approach offers sensitive, precise, and reproducible quantitation of TFx, facilitating assay application in clinical cancer care.
Collapse
Affiliation(s)
- Micah Rickles-Young
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Gabriel Tinoco
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio; Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Junko Tsuji
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Sam Pollock
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Marcy Haynam
- Ohio State University Comprehensive Cancer Center, Columbus, Ohio; Stefanie Spielman Comprehensive Breast Center, Columbus, Ohio
| | - Heather Lefebvre
- Ohio State University Comprehensive Cancer Center, Columbus, Ohio; Stefanie Spielman Comprehensive Breast Center, Columbus, Ohio
| | - Kristyn Glover
- Ohio State University Comprehensive Cancer Center, Columbus, Ohio; Stefanie Spielman Comprehensive Breast Center, Columbus, Ohio
| | - Dwight H Owen
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio; Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Katharine A Collier
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio; Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Gavin Ha
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Viktor A Adalsteinsson
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Carrie Cibulskis
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Niall J Lennon
- Genomics Platform, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts.
| | - Daniel G Stover
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio; Ohio State University Comprehensive Cancer Center, Columbus, Ohio; Stefanie Spielman Comprehensive Breast Center, Columbus, Ohio.
| |
Collapse
|
19
|
Cai Q, Peng M. Identification of CNKSR1 as a biomarker for "cold" tumor microenvironment in lung adenocarcinoma: An integrative analysis based on a novel workflow. Heliyon 2024; 10:e29126. [PMID: 38628722 PMCID: PMC11019179 DOI: 10.1016/j.heliyon.2024.e29126] [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: 02/02/2024] [Revised: 03/20/2024] [Accepted: 04/01/2024] [Indexed: 04/19/2024] Open
Abstract
Background Therapies targeting PD1/PD-L1 pathway have revolutionized the treatment of lung cancer. However, anti-PD1/PD-L1 therapies have proven beneficial for only a select group of lung adenocarcinoma (LUAD) patients and generally do not work for immuno-cold tumors characterized by a lack of immune cell infiltration. Identifying novel biomarkers is vital to broad therapeutic options for LUAD patients with no response to anti-PD1/PD-L1 immunotherapies. Methods Our study has developed a novel strategy to identify a promising biomarker that addresses the limitations of anti-PD1/PD-L1 immunotherapy in treating immunological cold tumors. We exacted LUAD RNA-seq data from the Cancer Genome Atlas database (TCGA). Using several machine learning methods, we identified the candidate biomarker. Based on the expression level of PD-L1 and the identified biomarker, samples were categorized into four groups. We further used ESTIMATE, ssGSEA, and CIBERSORT algorithms to calculate the immune infiltration level of each group. The results were validated in three independent bulk datasets and one scRNA-seq dataset. Immunohistochemistry (IHC) assessments were performed in clinical samples to further evaluate the coexpression of CNKSR1 and PD-L1, and to compare CD8 + T cell infiltration among groups. Results After comprehensive analyses, CNKSR1 was identified as a novel promising biomarker for immuno-cold LUAD. CNKSR1 mRNA expression levels exhibited a negative correlation with both PD-L1 mRNA expression and the extent of immune cell infiltration in LUAD. Besides, in contrast to the significant association between the expression of PD-L1 and the majority of other well-established or widely studied immune checkpoint molecules, a mutually exclusive expression pattern is observed between CNKSR1 and these molecules. The aforementioned results were consistent in validation datasets. The prognostic model built based on the CNKSR1 coexpression module also showed robust predictive performance. Additionally, IHC assessments have confirmed that the coexpression of CNKSR1 and PD-L1 is rare in LUAD samples. Notably, LUADs in the high-CNKSR1 group, characterized by high CNKSR1 but low PD- L1 expression, demonstrated reduced infiltration of CD8+ T cells. Conclusions In summary, CNKSR1 emerges as a promising biomarker for immune-cold LUADs, and the study into CNKSR1 modulating T-cell infiltration may lead to the identification of compensatory molecules to enhance the effectiveness of current immunotherapy for LUAD.
Collapse
Affiliation(s)
- Qidong Cai
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy, Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Mou Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy, Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| |
Collapse
|
20
|
Nadeem O, Aranha MP, Redd R, Timonian M, Magidson S, Lightbody ED, Alberge JB, Bertamini L, Dutta AK, El-Khoury H, Bustoros M, Laubach JP, Bianchi G, O'Donnell E, Wu T, Tsuji J, Anderson K, Getz G, Trippa L, Richardson PG, Sklavenitis-Pistofidis R, Ghobrial IM. Long-Term Follow-Up Defines the Population That Benefits from Early Interception in a High-Risk Smoldering Multiple Myeloma Clinical Trial Using the Combination of Ixazomib, Lenalidomide, and Dexamethasone. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.19.24306082. [PMID: 38699307 PMCID: PMC11064995 DOI: 10.1101/2024.04.19.24306082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background Early therapeutic intervention in high-risk SMM (HR-SMM) has demonstrated benefit in previous studies of lenalidomide with or without dexamethasone. Triplets and quadruplet studies have been examined in this same population. However, to date, none of these studies examined the impact of depth of response on long-term outcomes of participants treated with lenalidomide-based therapy, and whether the use of the 20/2/20 model or the addition of genomic alterations can further define the population that would benefit the most from early therapeutic intervention. Here, we present the results of the phase II study of the combination of ixazomib, lenalidomide, and dexamethasone in patients with HR-SMM with long-term follow-up and baseline single-cell tumor and immune sequencing that help refine the population to be treated for early intervention studies. Methods This is a phase II trial of ixazomib, lenalidomide, and dexamethasone (IRD) in HR-SMM. Patients received 9 cycles of induction therapy with ixazomib 4mg on days 1, 8, and 15; lenalidomide 25mg on days 1-21; and dexamethasone 40mg on days 1, 8, 15, and 22. The induction phase was followed by maintenance with ixazomib 4mg on days 1, 8, and 15; and lenalidomide 15mg d1-21 for 15 cycles for 24 months of treatment. The primary endpoint was progression-free survival after 2 years of therapy. Secondary endpoints included depth of response, biochemical progression, and correlative studies included single-cell RNA sequencing and/or whole-genome sequencing of the tumor and single-cell sequencing of immune cells at baseline. Results Fifty-five patients, with a median age of 64, were enrolled in the study. The overall response rate was 93%, with 31% of patients achieving a complete response and 45% achieving a very good partial response or better. The most common grade 3 or greater treatment-related hematologic toxicities were neutropenia (16 patients; 29%), leukopenia (10 patients; 18%), lymphocytopenia (8 patients; 15%), and thrombocytopenia (4 patients; 7%). Non-hematologic grade 3 or greater toxicities included hypophosphatemia (7 patients; 13%), rash (5 patients; 9%), and hypokalemia (4 patients; 7%). After a median follow-up of 50 months, the median progression-free survival (PFS) was 48.6 months (95% CI: 39.9 - not reached; NR) and median overall survival has not been reached. Patients achieving VGPR or better had a significantly better progression-free survival (p<0.001) compared to those who did not achieve VGPR (median PFS 58.2 months vs. 31.3 months). Biochemical progression preceded or was concurrent with the development of SLiM-CRAB criteria in eight patients during follow-up, indicating that biochemical progression is a meaningful endpoint that correlates with the development of end-organ damage. High-risk 20/2/20 participants had the worst PFS compared to low- and intermediate-risk participants. The use of whole genome or single-cell sequencing of tumor cells identified high-risk aberrations that were not identified by FISH alone and aided in the identification of participants at risk of progression. scRNA-seq analysis revealed a positive correlation between MHC class I expression and response to proteasome inhibition and at the same time a decreased proportion of GZMB+ T cells within the clonally expanded CD8+ T cell population correlated with suboptimal response. Conclusions Ixazomib, lenalidomide and dexamethasone in HR-SMM demonstrates significant clinical activity with an overall favorable safety profile. Achievement of VGPR or greater led to significant improvement in time to progression, suggesting that achieving deep response is beneficial in HR-SMM. Biochemical progression correlates with end-organ damage. Patients with high-risk FISH and lack of deep response had poor outcomes. ClinicalTrials.gov identifier: ( NCT02916771 ).
Collapse
|
21
|
Deng Y, Xia L, Zhang J, Deng S, Wang M, Wei S, Li K, Lai H, Yang Y, Bai Y, Liu Y, Luo L, Yang Z, Chen Y, Kang R, Gan F, Pu Q, Mei J, Ma L, Lin F, Guo C, Liao H, Zhu Y, Liu Z, Liu C, Hu Y, Yuan Y, Zha Z, Yuan G, Zhang G, Chen L, Cheng Q, Shen S, Liu L. Multicellular ecotypes shape progression of lung adenocarcinoma from ground-glass opacity toward advanced stages. Cell Rep Med 2024; 5:101489. [PMID: 38554705 PMCID: PMC11031428 DOI: 10.1016/j.xcrm.2024.101489] [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: 09/30/2022] [Revised: 01/26/2024] [Accepted: 03/06/2024] [Indexed: 04/02/2024]
Abstract
Lung adenocarcinoma is a type of cancer that exhibits a wide range of clinical radiological manifestations, from ground-glass opacity (GGO) to pure solid nodules, which vary greatly in terms of their biological characteristics. Our current understanding of this heterogeneity is limited. To address this gap, we analyze 58 lung adenocarcinoma patients via machine learning, single-cell RNA sequencing (scRNA-seq), and whole-exome sequencing, and we identify six lung multicellular ecotypes (LMEs) correlating with distinct radiological patterns and cancer cell states. Notably, GGO-associated neoantigens in early-stage cancers are recognized by CD8+ T cells, indicating an immune-active environment, while solid nodules feature an immune-suppressive LME with exhausted CD8+ T cells, driven by specific stromal cells such as CTHCR1+ fibroblasts. This study also highlights EGFR(L858R) neoantigens in GGO samples, suggesting potential CD8+ T cell activation. Our findings offer valuable insights into lung adenocarcinoma heterogeneity, suggesting avenues for targeted therapies in early-stage disease.
Collapse
Affiliation(s)
- Yulan Deng
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Liang Xia
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Jian Zhang
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Senyi Deng
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Mengyao Wang
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China; Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, Sai Ying Pun, Hong Kong, China
| | - Shiyou Wei
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Kaixiu Li
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China; Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, Sai Ying Pun, Hong Kong, China
| | - Hongjin Lai
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yunhao Yang
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yuquan Bai
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yongcheng Liu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Lanzhi Luo
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Zhenyu Yang
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yaohui Chen
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Ran Kang
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Fanyi Gan
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Qiang Pu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Jiandong Mei
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Lin Ma
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Feng Lin
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Chenglin Guo
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Hu Liao
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yunke Zhu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Zheng Liu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Chengwu Liu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yang Hu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Yong Yuan
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Zhengyu Zha
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Gang Yuan
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China
| | - Gao Zhang
- Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, Sai Ying Pun, Hong Kong, China
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Qing Cheng
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Shensi Shen
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China.
| | - Lunxu Liu
- Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China; Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu 610041, China.
| |
Collapse
|
22
|
Lv Y, Feng G, Yang L, Wu X, Wang C, Ye A, wang S, Xu C, Shi H. Differential whole-genome doubling based signatures for improvement on clinical outcomes and drug response in patients with breast cancer. Heliyon 2024; 10:e28586. [PMID: 38576569 PMCID: PMC10990872 DOI: 10.1016/j.heliyon.2024.e28586] [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: 08/12/2023] [Revised: 03/20/2024] [Accepted: 03/20/2024] [Indexed: 04/06/2024] Open
Abstract
Whole genome doublings (WGD), a hallmark of human cancer, is pervasive in breast cancer patients. However, the molecular mechanism of the complete impact of WGD on survival and treatment response in breast cancer remains unclear. To address this, we performed a comprehensive and systematic analysis of WGD, aiming to identify distinct genetic alterations linked to WGD and highlight its improvement on clinical outcomes and treatment response for breast cancer. A linear regression model along with weighted gene co-expression network analysis (WGCNA) was applied on The Cancer Genome Atlas (TCGA) dataset to identify critical genes related to WGD. Further Cox regression models with random selection were used to optimize the most useful prognostic markers in the TCGA dataset. The clinical implication of the risk model was further assessed through prognostic impact evaluation, tumor stratification, functional analysis, genomic feature difference analysis, drug response analysis, and multiple independent datasets for validation. Our findings revealed a high aneuploidy burden, chromosomal instability (CIN), copy number variation (CNV), and mutation burden in breast tumors exhibiting WGD events. Moreover, 247 key genes associated with WGD were identified from the distinct genomic patterns in the TCGA dataset. A risk model consisting of 22 genes was optimized from the key genes. High-risk breast cancer patients were more prone to WGD and exhibited greater genomic diversity compared to low-risk patients. Some oncogenic signaling pathways were enriched in the high-risk group, while primary immune deficiency pathways were enriched in the low-risk group. We also identified a risk gene, ANLN (anillin), which displayed a strong positive correlation with two crucial WGD genes, KIF18A and CCNE2. Tumors with high expression of ANLN were more prone to WGD events and displayed worse clinical survival outcomes. Furthermore, the expression levels of these risk genes were significantly associated with the sensitivities of BRCA cell lines to multiple drugs, providing valuable insights for targeted therapies. These findings will be helpful for further improvement on clinical outcomes and contribution to drug development in breast cancer.
Collapse
Affiliation(s)
| | | | - Lei Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Xiaoliang Wu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chengyi Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Aokun Ye
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Shuyuan wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chaohan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Hongbo Shi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| |
Collapse
|
23
|
Lauss M, Phung B, Borch TH, Harbst K, Kaminska K, Ebbesson A, Hedenfalk I, Yuan J, Nielsen K, Ingvar C, Carneiro A, Isaksson K, Pietras K, Svane IM, Donia M, Jönsson G. Molecular patterns of resistance to immune checkpoint blockade in melanoma. Nat Commun 2024; 15:3075. [PMID: 38594286 PMCID: PMC11004175 DOI: 10.1038/s41467-024-47425-y] [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: 07/27/2023] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
Immune checkpoint blockade (ICB) has improved outcome for patients with metastatic melanoma but not all benefit from treatment. Several immune- and tumor intrinsic features are associated with clinical response at baseline. However, we need to further understand the molecular changes occurring during development of ICB resistance. Here, we collect biopsies from a cohort of 44 patients with melanoma after progression on anti-CTLA4 or anti-PD1 monotherapy. Genetic alterations of antigen presentation and interferon gamma signaling pathways are observed in approximately 25% of ICB resistant cases. Anti-CTLA4 resistant lesions have a sustained immune response, including immune-regulatory features, as suggested by multiplex spatial and T cell receptor (TCR) clonality analyses. One anti-PD1 resistant lesion harbors a distinct immune cell niche, however, anti-PD1 resistant tumors are generally immune poor with non-expanded TCR clones. Such immune poor microenvironments are associated with melanoma cells having a de-differentiated phenotype lacking expression of MHC-I molecules. In addition, anti-PD1 resistant tumors have reduced fractions of PD1+ CD8+ T cells as compared to ICB naïve metastases. Collectively, these data show the complexity of ICB resistance and highlight differences between anti-CTLA4 and anti-PD1 resistance that may underlie differential clinical outcomes of therapy sequence and combination.
Collapse
Affiliation(s)
- Martin Lauss
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Bengt Phung
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Troels Holz Borch
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Katja Harbst
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Kamila Kaminska
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Anna Ebbesson
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Ingrid Hedenfalk
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Lund University Cancer Center, LUCC, Lund, Sweden
| | - Joan Yuan
- Division of Molecular Hematology, Department of Laboratory Medicine, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - Kari Nielsen
- Lund University Cancer Center, LUCC, Lund, Sweden
- Division of Dermatology, Skåne University Hospital and Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - Christian Ingvar
- Division of Surgery, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - Ana Carneiro
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital Comprehensive Cancer Center, 22185, Lund, Sweden
| | - Karolin Isaksson
- Lund University Cancer Center, LUCC, Lund, Sweden
- Division of Surgery, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden
- Department of Surgery, Kristianstad Hospital, 29133, Kristianstad, Sweden
| | - Kristian Pietras
- Lund University Cancer Center, LUCC, Lund, Sweden
- Division of Translational Cancer Research, Department of Laboratory Medicine, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - Inge Marie Svane
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Marco Donia
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Göran Jönsson
- Division of Oncology, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22185, Lund, Sweden.
- Lund University Cancer Center, LUCC, Lund, Sweden.
| |
Collapse
|
24
|
Lin CJ, Jin X, Ma D, Chen C, Ou-Yang Y, Pei YC, Zhou CZ, Qu FL, Wang YJ, Liu CL, Fan L, Hu X, Shao ZM, Jiang YZ. Genetic interactions reveal distinct biological and therapeutic implications in breast cancer. Cancer Cell 2024; 42:701-719.e12. [PMID: 38593782 DOI: 10.1016/j.ccell.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 01/16/2024] [Accepted: 03/13/2024] [Indexed: 04/11/2024]
Abstract
Co-occurrence and mutual exclusivity of genomic alterations may reflect the existence of genetic interactions, potentially shaping distinct biological phenotypes and impacting therapeutic response in breast cancer. However, our understanding of them remains limited. Herein, we investigate a large-scale multi-omics cohort (n = 873) and a real-world clinical sequencing cohort (n = 4,405) including several clinical trials with detailed treatment outcomes and perform functional validation in patient-derived organoids, tumor fragments, and in vivo models. Through this comprehensive approach, we construct a network comprising co-alterations and mutually exclusive events and characterize their therapeutic potential and underlying biological basis. Notably, we identify associations between TP53mut-AURKAamp and endocrine therapy resistance, germline BRCA1mut-MYCamp and improved sensitivity to PARP inhibitors, and TP53mut-MYBamp and immunotherapy resistance. Furthermore, we reveal that precision treatment strategies informed by co-alterations hold promise to improve patient outcomes. Our study highlights the significance of genetic interactions in guiding genome-informed treatment decisions beyond single driver alterations.
Collapse
Affiliation(s)
- Cai-Jin Lin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xi Jin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ding Ma
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Chao Chen
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yang Ou-Yang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yu-Chen Pei
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Chao-Zheng Zhou
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Fei-Lin Qu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yun-Jin Wang
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Lei Fan
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xin Hu
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| |
Collapse
|
25
|
Zhuang X, Ye R, Zhou Y, Cheng MY, Cui H, Wang L, Zhang S, Wang S, Cui Y, Zhang W. Leveraging new methods for comprehensive characterization of mitochondrial DNA in esophageal squamous cell carcinoma. Genome Med 2024; 16:50. [PMID: 38566210 PMCID: PMC10985887 DOI: 10.1186/s13073-024-01319-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Mitochondria play essential roles in tumorigenesis; however, little is known about the contribution of mitochondrial DNA (mtDNA) to esophageal squamous cell carcinoma (ESCC). Whole-genome sequencing (WGS) is by far the most efficient technology to fully characterize the molecular features of mtDNA; however, due to the high redundancy and heterogeneity of mtDNA in regular WGS data, methods for mtDNA analysis are far from satisfactory. METHODS Here, we developed a likelihood-based method dMTLV to identify low-heteroplasmic mtDNA variants. In addition, we described fNUMT, which can simultaneously detect non-reference nuclear sequences of mitochondrial origin (non-ref NUMTs) and their derived artifacts. Using these new methods, we explored the contribution of mtDNA to ESCC utilizing the multi-omics data of 663 paired tumor-normal samples. RESULTS dMTLV outperformed the existing methods in sensitivity without sacrificing specificity. The verification using Nanopore long-read sequencing data showed that fNUMT has superior specificity and more accurate breakpoint identification than the current methods. Leveraging the new method, we identified a significant association between the ESCC overall survival and the ratio of mtDNA copy number of paired tumor-normal samples, which could be potentially explained by the differential expression of genes enriched in pathways related to metabolism, DNA damage repair, and cell cycle checkpoint. Additionally, we observed that the expression of CBWD1 was downregulated by the non-ref NUMTs inserted into its intron region, which might provide precursor conditions for the tumor cells to adapt to a hypoxic environment. Moreover, we identified a strong positive relationship between the number of mtDNA truncating mutations and the contribution of signatures linked to tumorigenesis and treatment response. CONCLUSIONS Our new frameworks promote the characterization of mtDNA features, which enables the elucidation of the landscapes and roles of mtDNA in ESCC essential for extending the current understanding of ESCC etiology. dMTLV and fNUMT are freely available from https://github.com/sunnyzxh/dMTLV and https://github.com/sunnyzxh/fNUMT , respectively.
Collapse
Affiliation(s)
- Xuehan Zhuang
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Rui Ye
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yong Zhou
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Matthew Yibo Cheng
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Heyang Cui
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Longlong Wang
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Shuangping Zhang
- The Department of Thoracic Surgery, Shanxi Cancer Hospital; Key Laboratory of Cellular Physiology of the Ministry of Education, Department of Pathology, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Shubin Wang
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China
| | - Yongping Cui
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China.
- The Department of Thoracic Surgery, Shanxi Cancer Hospital; Key Laboratory of Cellular Physiology of the Ministry of Education, Department of Pathology, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
| | - Weimin Zhang
- Cancer Institute, Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Peking University-the Hong Kong University of Science and Technology (PKU-HKUST) Medical Center; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518000, China.
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute; Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, 100142, China.
| |
Collapse
|
26
|
Liu W, Cheng H, Huang Z, Li Y, Zhang Y, Yang Y, Jin T, Sun Y, Deng Z, Zhang Q, Lou F, Cao S, Wang H, Niu X. The correlation between clinical outcomes and genomic analysis with high risk factors for the progression of osteosarcoma. Mol Oncol 2024; 18:939-955. [PMID: 37727135 PMCID: PMC10994228 DOI: 10.1002/1878-0261.13526] [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: 06/15/2023] [Revised: 08/30/2023] [Accepted: 09/18/2023] [Indexed: 09/21/2023] Open
Abstract
Osteosarcoma (OS) is a rare but aggressive malignancy. Despite previous reports, molecular characterization of this disease is not well understood, and little is known regarding OS in Chinese patients. Herein, we analyzed the genomic signatures of 73 Chinese OS cases. TP53, NCOR1, LRP1B, ATRX, RB1, and TFE3 were the most frequently mutated gene in our OS cohort. In addition, the genomic analysis of Western OS patients was performed. Notably, there were remarkable disparities in mutational landscape, base substitution pattern, and tumor mutational burden between the Chinese and Western OS cohorts. Specific molecular mechanisms, including DNA damage repair (DDR) gene mutations, copy number variation (CNV) presence, aneuploidy, and intratumoral heterogeneity, were associated with disease progression. Additionally, 30.1% of OS patients carried clinically actionable alterations, which were mainly enriched in PI3K, MAPK, DDR, and RTK signaling pathways. A specific molecular subtype incorporating DDR alterations and CNVs was significantly correlated with distant metastasis-free survival and event-free survival, and this correlation was observed in all subgroups with different characteristics. These findings comprehensively elucidated the genomic profile and revealed novel prognostic factors in OS, which would contribute to understanding this disease and promoting precision medicine of this population.
Collapse
Affiliation(s)
- Weifeng Liu
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | | | - Zhen Huang
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Yaping Li
- Acornmed Biotechnology Co., Ltd.BeijingChina
| | | | - Yongkun Yang
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Tao Jin
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Yang Sun
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Zhiping Deng
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Qing Zhang
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| | - Feng Lou
- Acornmed Biotechnology Co., Ltd.BeijingChina
| | - Shanbo Cao
- Acornmed Biotechnology Co., Ltd.BeijingChina
| | - Huina Wang
- Acornmed Biotechnology Co., Ltd.BeijingChina
| | - Xiaohui Niu
- Department of Orthopaedic Oncology Surgery, Beijing Jishuitan HospitalPeking UniversityBeijingChina
- Fourth Medical College of Peking UniversityBeijingChina
- National Center for OrthopeadicsBeijingChina
| |
Collapse
|
27
|
Lei J, Luo J, Liu Q, Wang X. Identifying cancer subtypes based on embryonic and hematopoietic stem cell signatures in pan-cancer. Cell Oncol (Dordr) 2024; 47:587-605. [PMID: 37821797 DOI: 10.1007/s13402-023-00886-7] [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] [Accepted: 09/29/2023] [Indexed: 10/13/2023] Open
Abstract
PURPOSE Cancer cells with stem cell-like properties may contribute to cancer development and therapy resistance. The advancement of multi-omics technology has sparked interest in exploring cancer stemness from a multi-omics perspective. However, there is a limited number of studies that have attempted to subtype cancer by combining different types of stem cell signatures. METHODS In this study, 10,323 cancer specimens from 33 TCGA cancer types were clustered based on the enrichment scores of six stemness gene sets, representing two types of stem cell backgrounds: embryonic stem cells (ESCs) and hematopoietic stem cells (HSCs). RESULTS We identified four subtypes of pan-cancer, termed StC1, StC2, StC3 and StC4, which displayed distinct molecular and clinical features, including stemness, genome integrity, intratumor heterogeneity, methylation levels, tumor microenvironment, tumor progression, responses to chemotherapy and immunotherapy, and survival prognosis. Importantly, this subtyping method for pan-cancer is reproducible at the protein level. CONCLUSION Our findings indicate that the ESC signature is an adverse prognostic factor in cancer, while the HSC signature and ratio of HSC/ESC signatures are positive prognostic factors. The subtyping of cancer based on ESC and HSC signatures may provide insights into cancer biology and clinical implications of cancer.
Collapse
Affiliation(s)
- Jiali Lei
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Jiangti Luo
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Qian Liu
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China.
| |
Collapse
|
28
|
Alfayyadh MM, Maksemous N, Sutherland HG, Lea RA, Griffiths LR. Unravelling the Genetic Landscape of Hemiplegic Migraine: Exploring Innovative Strategies and Emerging Approaches. Genes (Basel) 2024; 15:443. [PMID: 38674378 PMCID: PMC11049430 DOI: 10.3390/genes15040443] [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: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
Migraine is a severe, debilitating neurovascular disorder. Hemiplegic migraine (HM) is a rare and debilitating neurological condition with a strong genetic basis. Sequencing technologies have improved the diagnosis and our understanding of the molecular pathophysiology of HM. Linkage analysis and sequencing studies in HM families have identified pathogenic variants in ion channels and related genes, including CACNA1A, ATP1A2, and SCN1A, that cause HM. However, approximately 75% of HM patients are negative for these mutations, indicating there are other genes involved in disease causation. In this review, we explored our current understanding of the genetics of HM. The evidence presented herein summarises the current knowledge of the genetics of HM, which can be expanded further to explain the remaining heritability of this debilitating condition. Innovative bioinformatics and computational strategies to cover the entire genetic spectrum of HM are also discussed in this review.
Collapse
Affiliation(s)
| | | | | | | | - Lyn R. Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia; (M.M.A.); (N.M.); (H.G.S.); (R.A.L.)
| |
Collapse
|
29
|
Tien JCY, Chang Y, Zhang Y, Chou J, Cheng Y, Wang X, Yang J, Mannan R, Shah P, Wang XM, Todd AJ, Eyunni S, Cheng C, Rebernick RJ, Xiao L, Bao Y, Neiswender J, Brough R, Pettitt SJ, Cao X, Miner SJ, Zhou L, Wu YM, Labanca E, Wang Y, Parolia A, Cieslik M, Robinson DR, Wang Z, Feng FY, Lord CJ, Ding K, Chinnaiyan AM. CDK12 Loss Promotes Prostate Cancer Development While Exposing Vulnerabilities to Paralog-Based Synthetic Lethality. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.20.585990. [PMID: 38562774 PMCID: PMC10983964 DOI: 10.1101/2024.03.20.585990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Biallelic loss of cyclin-dependent kinase 12 (CDK12) defines a unique molecular subtype of metastatic castration-resistant prostate cancer (mCRPC). It remains unclear, however, whether CDK12 loss per se is sufficient to drive prostate cancer development-either alone, or in the context of other genetic alterations-and whether CDK12-mutant tumors exhibit sensitivity to specific pharmacotherapies. Here, we demonstrate that tissue-specific Cdk12 ablation is sufficient to induce preneoplastic lesions and robust T cell infiltration in the mouse prostate. Allograft-based CRISPR screening demonstrated that Cdk12 loss is positively associated with Trp53 inactivation but negatively associated with Pten inactivation-akin to what is observed in human mCRPC. Consistent with this, ablation of Cdk12 in prostate organoids with concurrent Trp53 loss promotes their proliferation and ability to form tumors in mice, while Cdk12 knockout in the Pten-null prostate cancer mouse model abrogates tumor growth. Bigenic Cdk12 and Trp53 loss allografts represent a new syngeneic model for the study of androgen receptor (AR)-positive, luminal prostate cancer. Notably, Cdk12/Trp53 loss prostate tumors are sensitive to immune checkpoint blockade. Cdk12-null organoids (either with or without Trp53 co-ablation) and patient-derived xenografts from tumors with CDK12 inactivation are highly sensitive to inhibition or degradation of its paralog kinase, CDK13. Together, these data identify CDK12 as a bona fide tumor suppressor gene with impact on tumor progression and lends support to paralog-based synthetic lethality as a promising strategy for treating CDK12-mutant mCRPC.
Collapse
Affiliation(s)
- Jean Ching-Yi Tien
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yu Chang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- These authors contributed equally to this work
| | - Yuping Zhang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- These authors contributed equally to this work
| | - Jonathan Chou
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, CA, USA
- These authors contributed equally to this work
| | - Yunhui Cheng
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- These authors contributed equally to this work
| | - Xiaoju Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Jianzhang Yang
- State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People’s Republic of China
- International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, College of Pharmacy, Jinan University, Guangzhou 511400, People’s Republic of China
| | - Rahul Mannan
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Palak Shah
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Xiao-Ming Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Abigail J. Todd
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Sanjana Eyunni
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Caleb Cheng
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ryan J. Rebernick
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Lanbo Xiao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yi Bao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - James Neiswender
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK
| | - Rachel Brough
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK
| | - Stephen J. Pettitt
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK
| | - Xuhong Cao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Stephanie J. Miner
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Licheng Zhou
- State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People’s Republic of China
- International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, College of Pharmacy, Jinan University, Guangzhou 511400, People’s Republic of China
| | - Yi-Mi Wu
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Estefania Labanca
- Department of Genitourinary Medical Oncology and David H. Koch Center for Applied Research of Genitourinary Cancer, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuzhuo Wang
- Vancouver Prostate Centre, Vancouver General Hospital and Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada
| | - Abhijit Parolia
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Dan R. Robinson
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Zhen Wang
- State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People’s Republic of China
- International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, College of Pharmacy, Jinan University, Guangzhou 511400, People’s Republic of China
| | - Felix Y. Feng
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, CA, USA
- Departments of Radiation Oncology and Urology, University of California, San Francisco, CA, USA
| | - Christopher J. Lord
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK
| | - Ke Ding
- State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People’s Republic of China
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
- Lead contact
| |
Collapse
|
30
|
Krull JE, Wenzl K, Hopper MA, Manske MK, Sarangi V, Maurer MJ, Larson MC, Mondello P, Yang Z, Novak JP, Serres M, Whitaker KR, Villasboas Bisneto JC, Habermann TM, Witzig TE, Link BK, Rimsza LM, King RL, Ansell SM, Cerhan JR, Novak AJ. Follicular lymphoma B cells exhibit heterogeneous transcriptional states with associated somatic alterations and tumor microenvironments. Cell Rep Med 2024; 5:101443. [PMID: 38428430 PMCID: PMC10983045 DOI: 10.1016/j.xcrm.2024.101443] [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: 09/16/2022] [Revised: 08/14/2023] [Accepted: 02/05/2024] [Indexed: 03/03/2024]
Abstract
Follicular lymphoma (FL) is an indolent non-Hodgkin lymphoma of germinal center origin, which presents with significant biologic and clinical heterogeneity. Using RNA-seq on B cells sorted from 87 FL biopsies, combined with machine-learning approaches, we identify 3 transcriptional states that divide the biological ontology of FL B cells into inflamed, proliferative, and chromatin-modifying states, with relationship to prior GC B cell phenotypes. When integrated with whole-exome sequencing and immune profiling, we find that each state was associated with a combination of mutations in chromatin modifiers, copy-number alterations to TNFAIP3, and T follicular helper cells (Tfh) cell interactions, or primarily by a microenvironment rich in activated T cells. Altogether, these data define FL B cell transcriptional states across a large cohort of patients, contribute to our understanding of FL heterogeneity at the tumor cell level, and provide a foundation for guiding therapeutic intervention.
Collapse
Affiliation(s)
| | - Kerstin Wenzl
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Matthew J Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Melissa C Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - ZhiZhang Yang
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | | | - Brian K Link
- Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, IA, USA
| | - Lisa M Rimsza
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ, USA
| | - Rebecca L King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - James R Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Anne J Novak
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
| |
Collapse
|
31
|
Gómez Tejeda Zañudo J, Barroso-Sousa R, Jain E, Jin Q, Li T, Buendia-Buendia JE, Pereslete A, Abravanel DL, Ferreira AR, Wrabel E, Helvie K, Hughes ME, Partridge AH, Overmoyer B, Lin NU, Tayob N, Tolaney SM, Wagle N. Exemestane plus everolimus and palbociclib in metastatic breast cancer: clinical response and genomic/transcriptomic determinants of resistance in a phase I/II trial. Nat Commun 2024; 15:2446. [PMID: 38503755 PMCID: PMC10951222 DOI: 10.1038/s41467-024-45835-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 02/02/2024] [Indexed: 03/21/2024] Open
Abstract
The landscape of cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) resistance is still being elucidated and the optimal subsequent therapy to overcome resistance remains uncertain. Here we present the final results of a phase Ib/IIa, open-label trial (NCT02871791) of exemestane plus everolimus and palbociclib for CDK4/6i-resistant metastatic breast cancer. The primary objective of phase Ib was to evaluate safety and tolerability and determine the maximum tolerated dose/recommended phase II dose (100 mg palbociclib, 5 mg everolimus, 25 mg exemestane). The primary objective of phase IIa was to determine the clinical benefit rate (18.8%, n = 6/32), which did not meet the predefined endpoint (65%). Secondary objectives included pharmacokinetic profiling (phase Ib), objective response rate, disease control rate, duration of response, and progression free survival (phase IIa), and correlative multi-omics analysis to investigate biomarkers of resistance to CDK4/6i. All participants were female. Multi-omics data from the phase IIa patients (n = 24 tumor/17 blood biopsy exomes; n = 27 tumor transcriptomes) showed potential mechanisms of resistance (convergent evolution of HER2 activation, BRAFV600E), identified joint genomic/transcriptomic resistance features (ESR1 mutations, high estrogen receptor pathway activity, and a Luminal A/B subtype; ERBB2/BRAF mutations, high RTK/MAPK pathway activity, and a HER2-E subtype), and provided hypothesis-generating results suggesting that mTOR pathway activation correlates with response to the trial's therapy. Our results illustrate how genome and transcriptome sequencing may help better identify patients likely to respond to CDK4/6i therapies.
Collapse
Affiliation(s)
- Jorge Gómez Tejeda Zañudo
- Cancer Program, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Romualdo Barroso-Sousa
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Oncology Center, Hospital Sírio-Libanês, Brasília, Brazil
| | - Esha Jain
- Cancer Program, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Repare Therapeutics, Cambridge, MA, USA
| | - Qingchun Jin
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, MA, USA
| | - Tianyu Li
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, MA, USA
| | - Jorge E Buendia-Buendia
- Cancer Program, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Cellarity, Somerville, MA, USA
| | | | - Daniel L Abravanel
- Cancer Program, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Arlindo R Ferreira
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal
| | - Eileen Wrabel
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Karla Helvie
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Ann H Partridge
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Beth Overmoyer
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nancy U Lin
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nabihah Tayob
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, MA, USA
| | - Sara M Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nikhil Wagle
- Cancer Program, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Genentech, South San Francisco, CA, USA.
| |
Collapse
|
32
|
Schneider MP, Cullen AE, Pangonyte J, Skelton J, Major H, Van Oudenhove E, Garcia MJ, Chaves Urbano B, Piskorz AM, Brenton JD, Macintyre G, Markowetz F. scAbsolute: measuring single-cell ploidy and replication status. Genome Biol 2024; 25:62. [PMID: 38438920 PMCID: PMC10910719 DOI: 10.1186/s13059-024-03204-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: 06/15/2023] [Accepted: 02/22/2024] [Indexed: 03/06/2024] Open
Abstract
Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy. Correct estimation of the ploidy of single-cell genomes is paramount for downstream analysis. Based only on single-cell DNA sequencing information, scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status, including whole-genome duplications. We demonstrate scAbsolute's capabilities using experimental cell multiplets, a FUCCI cell cycle expression system, and a benchmark against state-of-the-art methods. scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and has the potential to enable improvements in a number of downstream analyses.
Collapse
Affiliation(s)
- Michael P Schneider
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Amy E Cullen
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Justina Pangonyte
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Jason Skelton
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Harvey Major
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Elke Van Oudenhove
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Maria J Garcia
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - Anna M Piskorz
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - James D Brenton
- University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Geoff Macintyre
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Florian Markowetz
- University of Cambridge, Cambridge, UK.
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK.
| |
Collapse
|
33
|
Zhu W, Yang L, Gao Y, Zhou Y, Shi Y, Liu K, Yu R, Shao Y, Zhang W, Wu G, He J. Clinical value of FAT1 mutations to indicate the immune response in colorectal cancer patients. Genomics 2024; 116:110808. [PMID: 38364976 DOI: 10.1016/j.ygeno.2024.110808] [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: 07/20/2023] [Revised: 01/23/2024] [Accepted: 02/11/2024] [Indexed: 02/18/2024]
Abstract
Immunotherapy is currently approved for CRC whose tumors have high MSI-H. To find additional biomarkers for immunotherapy in CRC, targeted sequencing was performed on tumor tissues from a discovery cohort of 161 CRC patients. Validation cohorts from the cBioPortal were also used for survival and tumor cell infiltration analyses. The FAT1-mutated CRC group often co-occurred with MSI events and displayed a higher tumor mutational burden compared to the FAT1 wild-type CRC. Overall survival was higher in patients with FAT1 mutations than in patients with wild type FAT1. The altered PI3K-AKT pathway and immune pathways were enriched in the FAT1-mutated CRC. A higher infiltration rate of immune cells including CD4+ T cells, CD8+ T cells, macrophages M1 and regulatory T cells were also observed in the colorectal tumors with FAT1 mutation compared to tumors with wild type FAT1. The results showed that CRC patients with FAT1 mutations exhibited an immunotherapy-favorable profile.
Collapse
Affiliation(s)
- Wei Zhu
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lan Yang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu Gao
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Zhou
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuqian Shi
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Kaihua Liu
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Ruoying Yu
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang Shao
- Nanjing Geneseeq Technology Inc., Nanjing, China; School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wentong Zhang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guosheng Wu
- Department of Colorectal Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Junjun He
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| |
Collapse
|
34
|
Chang E, An JY. Whole-genome doubling is a double-edged sword: the heterogeneous role of whole-genome doubling in various cancer types. BMB Rep 2024; 57:125-134. [PMID: 38449300 PMCID: PMC10979346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 03/08/2024] Open
Abstract
Whole-genome doubling (WGD), characterized by the duplication of an entire set of chromosomes, is commonly observed in various tumors, occurring in approximately 30-40% of patients with different cancer types. The effect of WGD on tumorigenesis varies depending on the context, either promoting or suppressing tumor progression. Recent advances in genomic technologies and large-scale clinical investigations have led to the identification of the complex patterns of genomic alterations underlying WGD and their functional consequences on tumorigenesis progression and prognosis. Our comprehensive review aims to summarize the causes and effects of WGD on tumorigenesis, highlighting its dualistic influence on cancer cells. We then introduce recent findings on WGD-associated molecular signatures and genetic aberrations and a novel subtype related to WGD. Finally, we discuss the clinical implications of WGD in cancer subtype classification and future therapeutic interventions. Overall, a comprehensive understanding of WGD in cancer biology is crucial to unraveling its complex role in tumorigenesis and identifying novel therapeutic strategies. [BMB Reports 2024; 57(3): 125-134].
Collapse
Affiliation(s)
- Eunhyong Chang
- Department of Integrated Biomedical and Life Science, Korea University, Seoul 02841, Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul 02841, Korea
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, Seoul 02841, Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul 02841, Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul 02841, Korea
| |
Collapse
|
35
|
George J, Maas L, Abedpour N, Cartolano M, Kaiser L, Fischer RN, Scheel AH, Weber JP, Hellmich M, Bosco G, Volz C, Mueller C, Dahmen I, John F, Alves CP, Werr L, Panse JP, Kirschner M, Engel-Riedel W, Jürgens J, Stoelben E, Brockmann M, Grau S, Sebastian M, Stratmann JA, Kern J, Hummel HD, Hegedüs B, Schuler M, Plönes T, Aigner C, Elter T, Toepelt K, Ko YD, Kurz S, Grohé C, Serke M, Höpker K, Hagmeyer L, Doerr F, Hekmath K, Strapatsas J, Kambartel KO, Chakupurakal G, Busch A, Bauernfeind FG, Griesinger F, Luers A, Dirks W, Wiewrodt R, Luecke A, Rodermann E, Diel A, Hagen V, Severin K, Ullrich RT, Reinhardt HC, Quaas A, Bogus M, Courts C, Nürnberg P, Becker K, Achter V, Büttner R, Wolf J, Peifer M, Thomas RK. Evolutionary trajectories of small cell lung cancer under therapy. Nature 2024; 627:880-889. [PMID: 38480884 PMCID: PMC10972747 DOI: 10.1038/s41586-024-07177-7] [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: 01/25/2023] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
The evolutionary processes that underlie the marked sensitivity of small cell lung cancer (SCLC) to chemotherapy and rapid relapse are unknown1-3. Here we determined tumour phylogenies at diagnosis and throughout chemotherapy and immunotherapy by multiregion sequencing of 160 tumours from 65 patients. Treatment-naive SCLC exhibited clonal homogeneity at distinct tumour sites, whereas first-line platinum-based chemotherapy led to a burst in genomic intratumour heterogeneity and spatial clonal diversity. We observed branched evolution and a shift to ancestral clones underlying tumour relapse. Effective radio- or immunotherapy induced a re-expansion of founder clones with acquired genomic damage from first-line chemotherapy. Whereas TP53 and RB1 alterations were exclusively part of the common ancestor, MYC family amplifications were frequently not constituents of the founder clone. At relapse, emerging subclonal mutations affected key genes associated with SCLC biology, and tumours harbouring clonal CREBBP/EP300 alterations underwent genome duplications. Gene-damaging TP53 alterations and co-alterations of TP53 missense mutations with TP73, CREBBP/EP300 or FMN2 were significantly associated with shorter disease relapse following chemotherapy. In summary, we uncover key processes of the genomic evolution of SCLC under therapy, identify the common ancestor as the source of clonal diversity at relapse and show central genomic patterns associated with sensitivity and resistance to chemotherapy.
Collapse
Affiliation(s)
- Julie George
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany.
| | - Lukas Maas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nima Abedpour
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Cancer Research Centre Cologne Essen, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Maria Cartolano
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Laura Kaiser
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Rieke N Fischer
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Andreas H Scheel
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Philipp Weber
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Hellmich
- Institute of Medical Statistics, and Computational Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Graziella Bosco
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Caroline Volz
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Christian Mueller
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany
| | - Ilona Dahmen
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Felix John
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Cleidson Padua Alves
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Werr
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jens Peter Panse
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Martin Kirschner
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Walburga Engel-Riedel
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Jessica Jürgens
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Erich Stoelben
- Thoraxclinic Cologne, Thoracic Surgery, St. Hildegardis-Krankenhaus, Cologne, Germany
| | - Michael Brockmann
- Department of Pathology, City of Cologne Municipal Hospitals, Witten/Herdecke University, Cologne, Germany
| | - Stefan Grau
- Department of General Neurosurgery, Centre of Neurosurgery, University Hospital Cologne, Cologne, Germany
- University Medicine Marburg - Campus Fulda, Department of Neurosurgery, Fulda, Germany
| | - Martin Sebastian
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
| | - Jan A Stratmann
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
| | - Jens Kern
- Klinikum Würzburg Mitte - Missioklinik site, Pneumology and Respiratory Medicine, Würzburg, Germany
| | - Horst-Dieter Hummel
- Translational Oncology/Early Clinical Trial Unit, Comprehensive Cancer Centre Mainfranken, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Balazs Hegedüs
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
| | - Martin Schuler
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
| | - Till Plönes
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
- Division of Thoracic Surgery, Department of General, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Clemens Aigner
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Thoracic Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria
| | - Thomas Elter
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | - Karin Toepelt
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | | | - Sylke Kurz
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Christian Grohé
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Monika Serke
- DGD Lungenklinik Hemer, Internal Medicine, Pneumology and Oncology, Hemer, Germany
| | - Katja Höpker
- Clinic III for Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lars Hagmeyer
- Clinic of Pneumology and Allergology, Centre for Sleep Medicine and Respiratory Care, Bethanien Hospital Solingen, Solingen, Germany
| | - Fabian Doerr
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Khosro Hekmath
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Judith Strapatsas
- Department of Haematology, Oncology and Clinical Immunology, University Hospital of Duesseldorf, Düsseldorf, Germany
| | | | | | - Annette Busch
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Franz-Georg Bauernfeind
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Frank Griesinger
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Anne Luers
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Wiebke Dirks
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Rainer Wiewrodt
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Andrea Luecke
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Ernst Rodermann
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Andreas Diel
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Volker Hagen
- Clinic II for Internal Medicine, St.-Johannes-Hospital Dortmund, Dortmund, Germany
| | - Kai Severin
- Haematologie und Onkologie Köln MV-Zentrum, Cologne, Germany
| | - Roland T Ullrich
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Hans Christian Reinhardt
- Department of Haematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
- West German Cancer Centre, University Hospital Essen, Essen, Germany
| | - Alexander Quaas
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Magdalena Bogus
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Cornelius Courts
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Kerstin Becker
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Viktor Achter
- Computing Centre, University of Cologne, Cologne, Germany
| | - Reinhard Büttner
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jürgen Wolf
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Peifer
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany.
| | - Roman K Thomas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany.
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany.
| |
Collapse
|
36
|
Simpson JT. Detecting Somatic Mutations Without Matched Normal Samples Using Long Reads. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582089. [PMID: 38464143 PMCID: PMC10925087 DOI: 10.1101/2024.02.26.582089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
DNA sequencing of tumours to identify somatic mutations has become a critical tool to guide the type of treatment given to cancer patients. The gold standard for mutation calling is comparing sequencing data from the tumour to a matched normal sample to avoid mis-classifying inherited SNPs as mutations. This procedure works extremely well, but in certain situations only a tumour sample is available. While approaches have been developed to find mutations without a matched normal, they have limited accuracy or require specific types of input data (e.g. ultra-deep sequencing). Here we explore the application of single molecule long read sequencing to calling somatic mutations without matched normal samples. We develop a simple theoretical framework to show how haplotype phasing is an important source of information for determining whether a variant is a somatic mutation. We then use simulations to assess the range of experimental parameters (tumour purity, sequencing depth) where this approach is effective. These ideas are developed into a prototype somatic mutation caller, smrest, and its use is demonstrated on two highly mutated cancer cell lines. Finally, we argue that this approach has potential to measure clinically important biomarkers that are based on the genome-wide distribution of mutations: tumour mutation burden and mutation signatures.
Collapse
Affiliation(s)
- Jared T. Simpson
- Ontario Institute for Cancer Research, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
- Department of Computer Science, University of Toronto, Toronto, Canada
| |
Collapse
|
37
|
Andel D, Viergever BJ, Peters NA, Elisabeth Raats DA, Schenning-van Schelven SJ, Willem Intven MP, Zandvliet M, Hagendoorn J, Max Borel Rinkes IH, Kranenburg O. Pre-existing subclones determine radioresistance in rectal cancer organoids. Cell Rep 2024; 43:113735. [PMID: 38310513 DOI: 10.1016/j.celrep.2024.113735] [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: 09/28/2023] [Revised: 12/05/2023] [Accepted: 01/17/2024] [Indexed: 02/06/2024] Open
Abstract
More than half of all patients with cancer receive radiation therapy, but resistance is commonly observed. Currently, it is unknown whether resistance to radiation therapy is acquired or inherently present. Here, we employed organoids derived from rectal cancer and single-cell whole-genome sequencing to investigate the long-term evolution of subclones in response to radiation. Comparing single-cell whole-genome karyotypes between in-vitro-unirradiated and -irradiated organoids revealed three patterns of subclonal evolution: (1) subclonal persistence, (2) subclonal extinction, and (3) subclonal expansion. Organoids in which subclonal shifts occurred (i.e., expansion or extinction) became more resistant to radiation. Although radioresistant subclones did not share recurrent copy-number alterations that could explain their radioresistance, resistance was associated with reduced chromosomal instability, an association that was also observed in 529 human cancer cell lines. These data suggest that resistance to radiation is inherently present and associated with reduced chromosomal instability.
Collapse
Affiliation(s)
- Daan Andel
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Bas Jeroen Viergever
- Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Niek Alexander Peters
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | | | | | - Martijn Peter Willem Intven
- Department of Radiation Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Maurice Zandvliet
- Department of Clinical Sciences - Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jeroen Hagendoorn
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Inne Hilbrand Max Borel Rinkes
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands.
| | - Onno Kranenburg
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Utrecht Platform for Organoid Technology, Utrecht University, Utrecht, the Netherlands.
| |
Collapse
|
38
|
Blanco-Heredia J, Souza CA, Trincado JL, Gonzalez-Cao M, Gonçalves-Ribeiro S, Gil SR, Pravdyvets D, Cedeño S, Callari M, Marra A, Gazzo AM, Weigelt B, Pareja F, Vougiouklakis T, Jungbluth AA, Rosell R, Brander C, Tresserra F, Reis-Filho JS, Tiezzi DG, de la Iglesia N, Heyn H, De Mattos-Arruda L. Converging and evolving immuno-genomic routes toward immune escape in breast cancer. Nat Commun 2024; 15:1302. [PMID: 38383522 PMCID: PMC10882008 DOI: 10.1038/s41467-024-45292-1] [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: 08/21/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
The interactions between tumor and immune cells along the course of breast cancer progression remain largely unknown. Here, we extensively characterize multiple sequential and parallel multiregion tumor and blood specimens of an index patient and a cohort of metastatic triple-negative breast cancers. We demonstrate that a continuous increase in tumor genomic heterogeneity and distinct molecular clocks correlated with resistance to treatment, eventually allowing tumors to escape from immune control. TCR repertoire loses diversity over time, leading to convergent evolution as breast cancer progresses. Although mixed populations of effector memory and cytotoxic single T cells coexist in the peripheral blood, defects in the antigen presentation machinery coupled with subdued T cell recruitment into metastases are observed, indicating a potent immune avoidance microenvironment not compatible with an effective antitumor response in lethal metastatic disease. Our results demonstrate that the immune responses against cancer are not static, but rather follow dynamic processes that match cancer genomic progression, illustrating the complex nature of tumor and immune cell interactions.
Collapse
Affiliation(s)
- Juan Blanco-Heredia
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carla Anjos Souza
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Juan L Trincado
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Josep Carreras Leukemia Research Institute, Barcelona, Spain
| | | | | | - Sara Ruiz Gil
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | | | - Samandhy Cedeño
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Maurizio Callari
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea M Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Theodore Vougiouklakis
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Achim A Jungbluth
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rafael Rosell
- Dexeus Institute of Oncology, Quironsalud Group, Barcelona, Spain
| | - Christian Brander
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- ICREA, Passeig de Lluís Companys, 23, Barcelona, Spain
- Universitat de Vic-Universitat Central de Catalunya, Catalunya, Spain
| | | | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Guimarães Tiezzi
- Department of Gynecology and Obstetrics - Breast Disease Division and Laboratory for Translational Data Science, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
- Advanced Research Center in Medicine (CEPAM), Union of the Colleges of the Great Lakes (UNILAGO), São José do Rio Preto, Brazil
| | | | - Holger Heyn
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Omniscope, Barcelona, Spain
| | - Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain.
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
| |
Collapse
|
39
|
Wang S, Wu CY, He MM, Yong JX, Chen YX, Qian LM, Zhang JL, Zeng ZL, Xu RH, Wang F, Zhao Q. Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer. Nat Commun 2024; 15:1515. [PMID: 38373991 PMCID: PMC10876971 DOI: 10.1038/s41467-024-45479-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/24/2024] [Indexed: 02/21/2024] Open
Abstract
The clinical implications of extrachromosomal DNA (ecDNA) in cancer therapy remain largely elusive. Here, we present a comprehensive analysis of ecDNA amplification spectra and their association with clinical and molecular features in multiple cohorts comprising over 13,000 pan-cancer patients. Using our developed computational framework, GCAP, and validating it with multifaceted approaches, we reveal a consistent pan-cancer pattern of mutual exclusivity between ecDNA amplification and microsatellite instability (MSI). In addition, we establish the role of ecDNA amplification as a risk factor and refine genomic subtypes in a cohort from 1015 colorectal cancer patients. Importantly, our investigation incorporates data from four clinical trials focused on anti-PD-1 immunotherapy, demonstrating the pivotal role of ecDNA amplification as a biomarker for guiding checkpoint blockade immunotherapy in gastrointestinal cancer. This finding represents clinical evidence linking ecDNA amplification to the effectiveness of immunotherapeutic interventions. Overall, our study provides a proof-of-concept of identifying ecDNA amplification from cancer whole-exome sequencing (WES) data, highlighting the potential of ecDNA amplification as a valuable biomarker for facilitating personalized cancer treatment.
Collapse
Affiliation(s)
- Shixiang Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Chen-Yi Wu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Ming-Ming He
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jia-Xin Yong
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yan-Xing Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Li-Mei Qian
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jin-Ling Zhang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Zhao-Lei Zeng
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Rui-Hua Xu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060, China.
| | - Feng Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| |
Collapse
|
40
|
Dopeso H, Gazzo AM, Derakhshan F, Brown DN, Selenica P, Jalali S, Da Cruz Paula A, Marra A, da Silva EM, Basili T, Gusain L, Colon-Cartagena L, Bhaloo SI, Green H, Vanderbilt C, Oesterreich S, Grabenstetter A, Kuba MG, Ross D, Giri D, Wen HY, Zhang H, Brogi E, Weigelt B, Pareja F, Reis-Filho JS. Genomic and epigenomic basis of breast invasive lobular carcinomas lacking CDH1 genetic alterations. NPJ Precis Oncol 2024; 8:33. [PMID: 38347189 PMCID: PMC10861500 DOI: 10.1038/s41698-024-00508-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/14/2023] [Indexed: 02/15/2024] Open
Abstract
CDH1 (E-cadherin) bi-allelic inactivation is the hallmark alteration of breast invasive lobular carcinoma (ILC), resulting in its discohesive phenotype. A subset of ILCs, however, lack CDH1 genetic/epigenetic inactivation, and their genetic underpinning is unknown. Through clinical targeted sequencing data reanalysis of 364 primary ILCs, we identified 25 ILCs lacking CDH1 bi-allelic genetic alterations. CDH1 promoter methylation was frequent (63%) in these cases. Targeted sequencing reanalysis revealed 3 ILCs harboring AXIN2 deleterious fusions (n = 2) or loss-of-function mutation (n = 1). Whole-genome sequencing of 3 cases lacking bi-allelic CDH1 genetic/epigenetic inactivation confirmed the AXIN2 mutation and no other cell-cell adhesion genetic alterations but revealed a new CTNND1 (p120) deleterious fusion. AXIN2 knock-out in MCF7 cells resulted in lobular-like features, including increased cellular migration and resistance to anoikis. Taken together, ILCs lacking CDH1 genetic/epigenetic alterations are driven by inactivating alterations in other cell adhesion genes (CTNND1 or AXIN2), endorsing a convergent phenotype in ILC.
Collapse
Affiliation(s)
- Higinio Dopeso
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea M Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fatemeh Derakhshan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - David N Brown
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sahar Jalali
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Thais Basili
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laxmi Gusain
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lorraine Colon-Cartagena
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shirin Issa Bhaloo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hunter Green
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chad Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steffi Oesterreich
- Department of Pharmacology & Chemical Biology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anne Grabenstetter
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - M Gabriela Kuba
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dara Ross
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dilip Giri
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hannah Y Wen
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hong Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edi Brogi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| |
Collapse
|
41
|
Varkaris A, Fece de la Cruz F, Martin EE, Norden BL, Chevalier N, Kehlmann AM, Leshchiner I, Barnes H, Ehnstrom S, Stavridi AM, Yuan X, Kim JS, Ellis H, Papatheodoridi A, Gunaydin H, Danysh BP, Parida L, Sanidas I, Ji Y, Lau K, Wulf GM, Bardia A, Spring LM, Isakoff SJ, Lennerz JK, Del Vecchio K, Pierce L, Pazolli E, Getz G, Corcoran RB, Juric D. Allosteric PI3Kα Inhibition Overcomes On-target Resistance to Orthosteric Inhibitors Mediated by Secondary PIK3CA Mutations. Cancer Discov 2024; 14:227-239. [PMID: 37916958 PMCID: PMC10850944 DOI: 10.1158/2159-8290.cd-23-0704] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
PIK3CA mutations occur in ∼8% of cancers, including ∼40% of HR-positive breast cancers, where the PI3K-alpha (PI3Kα)-selective inhibitor alpelisib is FDA approved in combination with fulvestrant. Although prior studies have identified resistance mechanisms, such as PTEN loss, clinically acquired resistance to PI3Kα inhibitors remains poorly understood. Through serial liquid biopsies and rapid autopsies in 39 patients with advanced breast cancer developing acquired resistance to PI3Kα inhibitors, we observe that 50% of patients acquire genomic alterations within the PI3K pathway, including PTEN loss and activating AKT1 mutations. Notably, although secondary PIK3CA mutations were previously reported to increase sensitivity to PI3Kα inhibitors, we identified emergent secondary resistance mutations in PIK3CA that alter the inhibitor binding pocket. Some mutations had differential effects on PI3Kα-selective versus pan-PI3K inhibitors, but resistance induced by all mutations could be overcome by the novel allosteric pan-mutant-selective PI3Kα-inhibitor RLY-2608. Together, these findings provide insights to guide strategies to overcome resistance in PIK3CA-mutated cancers. SIGNIFICANCE In one of the largest patient cohorts analyzed to date, this study defines the clinical landscape of acquired resistance to PI3Kα inhibitors. Genomic alterations within the PI3K pathway represent a major mode of resistance and identify a novel class of secondary PIK3CA resistance mutations that can be overcome by an allosteric PI3Kα inhibitor. See related commentary by Gong and Vanhaesebroeck, p. 204 . See related article by Varkaris et al., p. 240 . This article is featured in Selected Articles from This Issue, p. 201.
Collapse
Affiliation(s)
- Andreas Varkaris
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ferran Fece de la Cruz
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Bryanna L. Norden
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Nicholas Chevalier
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Allison M. Kehlmann
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Haley Barnes
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Sara Ehnstrom
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Xin Yuan
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Janice S. Kim
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Haley Ellis
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | | | - Brian P. Danysh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | - Ioannis Sanidas
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Yongli Ji
- Hematology-Oncology, Exeter Hospital, New Haven
| | - Kayao Lau
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Gerburg M. Wulf
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Aditya Bardia
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Laura M. Spring
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Steven J. Isakoff
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jochen K. Lennerz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Levi Pierce
- Relay Therapeutics, Cambridge, Massachusetts
| | | | - Gad Getz
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Ryan B. Corcoran
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Dejan Juric
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
42
|
Lawrence-Paul MR, Pan TC, Pant DK, Shih NNC, Chen Y, Belka GK, Feldman M, DeMichele A, Chodosh LA. Rare subclonal sequencing of breast cancers indicates putative metastatic driver mutations are predominately acquired after dissemination. Genome Med 2024; 16:26. [PMID: 38321573 PMCID: PMC10848417 DOI: 10.1186/s13073-024-01293-9] [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: 03/29/2023] [Accepted: 01/22/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Evolutionary models of breast cancer progression differ on the extent to which metastatic potential is pre-encoded within primary tumors. Although metastatic recurrences often harbor putative driver mutations that are not detected in their antecedent primary tumor using standard sequencing technologies, whether these mutations were acquired before or after dissemination remains unclear. METHODS To ascertain whether putative metastatic driver mutations initially deemed specific to the metastasis by whole exome sequencing were, in actuality, present within rare ancestral subclones of the primary tumors from which they arose, we employed error-controlled ultra-deep sequencing (UDS-UMI) coupled with FFPE artifact mitigation by uracil-DNA glycosylase (UDG) to assess the presence of 132 "metastasis-specific" mutations within antecedent primary tumors from 21 patients. Maximum mutation detection sensitivity was ~1% of primary tumor cells. A conceptual framework was developed to estimate relative likelihoods of alternative models of mutation acquisition. RESULTS The ancestral primary tumor subclone responsible for seeding the metastasis was identified in 29% of patients, implicating several putative drivers in metastatic seeding including LRP5 A65V and PEAK1 K140Q. Despite this, 93% of metastasis-specific mutations in putative metastatic driver genes remained undetected within primary tumors, as did 96% of metastasis-specific mutations in known breast cancer drivers, including ERRB2 V777L, ESR1 D538G, and AKT1 D323H. Strikingly, even in those cases in which the rare ancestral subclone was identified, 87% of metastasis-specific putative driver mutations remained undetected. Modeling indicated that the sequential acquisition of multiple metastasis-specific driver or passenger mutations within the same rare subclonal lineage of the primary tumor was highly improbable. CONCLUSIONS Our results strongly suggest that metastatic driver mutations are sequentially acquired and selected within the same clonal lineage both before, but more commonly after, dissemination from the primary tumor, and that these mutations are biologically consequential. Despite inherent limitations in sampling archival primary tumors, our findings indicate that tumor cells in most patients continue to undergo clinically relevant genomic evolution after their dissemination from the primary tumor. This provides further evidence that metastatic recurrence is a multi-step, mutation-driven process that extends beyond primary tumor dissemination and underscores the importance of longitudinal tumor assessment to help guide clinical decisions.
Collapse
Affiliation(s)
- Matthew R Lawrence-Paul
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Abramson Family Cancer Research Institute, Philadelphia, USA
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tien-Chi Pan
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Abramson Family Cancer Research Institute, Philadelphia, USA
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dhruv K Pant
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Abramson Family Cancer Research Institute, Philadelphia, USA
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Natalie N C Shih
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yan Chen
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Abramson Family Cancer Research Institute, Philadelphia, USA
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - George K Belka
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Abramson Family Cancer Research Institute, Philadelphia, USA
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michael Feldman
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Angela DeMichele
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA.
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Lewis A Chodosh
- 2-PREVENT Translational Center of Excellence, Philadelphia, USA.
- Abramson Family Cancer Research Institute, Philadelphia, USA.
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
| |
Collapse
|
43
|
Sannigrahi MK, Cao AC, Rajagopalan P, Sun L, Brody RM, Raghav L, Gimotty PA, Basu D. A novel pipeline for prioritizing cancer type-specific therapeutic vulnerabilities using DepMap identifies PAK2 as a target in head and neck squamous cell carcinomas. Mol Oncol 2024; 18:336-349. [PMID: 37997254 PMCID: PMC10850805 DOI: 10.1002/1878-0261.13558] [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: 06/10/2023] [Revised: 10/23/2023] [Accepted: 11/22/2023] [Indexed: 11/25/2023] Open
Abstract
There is limited guidance on exploiting the genome-wide loss-of-function CRISPR screens in cancer Dependency Map (DepMap) to identify new targets for individual cancer types. This study integrated multiple tools to filter these data in order to seek new therapeutic targets specific to head and neck squamous cell carcinoma (HNSCC). The resulting pipeline prioritized 143 targetable dependencies that represented both well-studied targets and emerging target classes like mitochondrial carriers and RNA-binding proteins. In total, 14 targets had clinical inhibitors used for other cancers or nonmalignant diseases that hold near-term potential to repurpose for HNSCC therapy. Comparing inhibitor response data that were publicly available for 13 prioritized targets between the cell lines with high vs. low dependency on each target uncovered novel therapeutic potential for the PAK2 serine/threonine kinase. PAK2 gene dependency was found to be associated with wild-type p53, low PAK2 mRNA, and diploid status of the 3q amplicon containing PAK2. These findings establish a generalizable pipeline to prioritize clinically relevant targets for individual cancer types using DepMap. Its application to HNSCC highlights novel relevance for PAK2 inhibition and identifies biomarkers of PAK2 inhibitor response.
Collapse
Affiliation(s)
- Malay K. Sannigrahi
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Austin C. Cao
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Pavithra Rajagopalan
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Lova Sun
- Department of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Robert M. Brody
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Lovely Raghav
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Phyllis A. Gimotty
- Department of Biostatistics, Epidemiology and InformaticsUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Devraj Basu
- Department of Otorhinolaryngology‐Head and Neck SurgeryUniversity of PennsylvaniaPhiladelphiaPAUSA
- Ellen and Ronald Caplan Cancer CenterThe Wistar InstitutePhiladelphiaPAUSA
| |
Collapse
|
44
|
Derakhshan F, Da Cruz Paula A, Selenica P, da Silva EM, Grabenstetter A, Jalali S, Gazzo AM, Dopeso H, Marra A, Brown DN, Ross DS, Mandelker D, Razavi P, Chandarlapaty S, Wen HY, Brogi E, Zhang H, Weigelt B, Pareja F, Reis-Filho JS. Nonlobular Invasive Breast Carcinomas with Biallelic Pathogenic CDH1 Somatic Alterations: A Histologic, Immunophenotypic, and Genomic Characterization. Mod Pathol 2024; 37:100375. [PMID: 37925055 DOI: 10.1016/j.modpat.2023.100375] [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: 04/17/2023] [Revised: 09/25/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
CDH1 encodes for E-cadherin, and its loss of function is the hallmark of invasive lobular carcinoma (ILC). Albeit vanishingly rare, biallelic CDH1 alterations may be found in nonlobular breast carcinomas (NL-BCs). We sought to determine the clinicopathologic characteristics and repertoire of genetic alterations of NL-BCs harboring CDH1 biallelic genetic alterations. Analysis of 5842 breast cancers (BCs) subjected to clinical tumor-normal sequencing with an FDA-cleared multigene panel was conducted to identify BCs with biallelic CDH1 pathogenic/likely pathogenic somatic mutations lacking lobular features. The genomic profiles of NL-BCs with CDH1 biallelic genetic alterations were compared with those of ILCs and invasive ductal carcinomas (IDCs), matched by clinicopathologic characteristics. Of the 896 CDH1-altered BCs, 889 samples were excluded based on the diagnosis of invasive mixed ductal/lobular carcinoma or ILC or the detection of monoallelic CDH1 alterations. Only 7 of the 5842 (0.11%) BCs harbored biallelic CDH1 alterations and lacked lobular features. Of these, 4/7 (57%) cases were ER-positive/HER2-negative, 1/7 (14%) was ER-positive/HER2-positive, and 2/7 (29%) were ER-negative/HER2-negative. In total, 5/7 (71%) were of Nottingham grade 2, and 2/7 (29%) were of grade 3. The NL-BCs with CDH1 biallelic genetic alterations included a mucinous carcinoma (n = 1), IDCs with focal nested growth (n = 2), IDC with solid papillary (n = 1) or apocrine (n = 2) features, and an IDC of no special type (NST; n = 1). E-cadherin expression, as detected by immunohistochemistry, was absent (3/5) or aberrant (discontinuous membranous/cytoplasmic/granular; 2/5). However, NL-BCs with CDH1 biallelic genetic alterations displayed recurrent genetic alterations, including TP53, PIK3CA (57%, 4/7; each), FGFR1, and NCOR1 (28%, 2/7, each) alterations. Compared with CDH1 wild-type IDC-NSTs, NL-BCs less frequently harbored GATA3 mutations (0% vs 47%, P = .03), but no significant differences were detected when compared with matched ILCs. Therefore, NL-BCs with CDH1 biallelic genetic alterations are vanishingly rare, predominantly comprise IDCs with special histologic features, and have genomic features akin to luminal B ER-positive BCs.
Collapse
Affiliation(s)
- Fatemeh Derakhshan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology and Cell Biology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Arnaud Da Cruz Paula
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anne Grabenstetter
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sahar Jalali
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrea M Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Higinio Dopeso
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David N Brown
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Dara S Ross
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pedram Razavi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sarat Chandarlapaty
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hannah Y Wen
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Edi Brogi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hong Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; AstraZeneca, Gaithersburg, Maryland
| |
Collapse
|
45
|
Baker TM, Waise S, Tarabichi M, Van Loo P. Aneuploidy and complex genomic rearrangements in cancer evolution. NATURE CANCER 2024; 5:228-239. [PMID: 38286829 PMCID: PMC7616040 DOI: 10.1038/s43018-023-00711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/14/2023] [Indexed: 01/31/2024]
Abstract
Mutational processes that alter large genomic regions occur frequently in developing tumors. They range from simple copy number gains and losses to the shattering and reassembly of entire chromosomes. These catastrophic events, such as chromothripsis, chromoplexy and the formation of extrachromosomal DNA, affect the expression of many genes and therefore have a substantial effect on the fitness of the cells in which they arise. In this review, we cover large genomic alterations, the mechanisms that cause them and their effect on tumor development and evolution.
Collapse
Affiliation(s)
- Toby M Baker
- The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sara Waise
- The Francis Crick Institute, London, UK
- Cancer Sciences Unit, University of Southampton, Southampton, UK
| | - Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research (IRIBHM), Université Libre de Bruxelles, Brussels, Belgium
| | - Peter Van Loo
- The Francis Crick Institute, London, UK.
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
46
|
Antonello A, Bergamin R, Calonaci N, Househam J, Milite S, Williams MJ, Anselmi F, d'Onofrio A, Sundaram V, Sosinsky A, Cross WCH, Caravagna G. Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc. Genome Biol 2024; 25:38. [PMID: 38297376 PMCID: PMC10832148 DOI: 10.1186/s13059-024-03170-5] [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: 05/02/2023] [Accepted: 01/10/2024] [Indexed: 02/02/2024] Open
Abstract
Copy number alterations (CNAs) are among the most important genetic events in cancer, but their detection from sequencing data is challenging because of unknown sample purity, tumor ploidy, and general intra-tumor heterogeneity. Here, we present CNAqc, an evolution-inspired method to perform the computational validation of clonal and subclonal CNAs detected from bulk DNA sequencing. CNAqc is validated using single-cell data and simulations, is applied to over 4000 TCGA and PCAWG samples, and is incorporated into the validation process for the clinically accredited bioinformatics pipeline at Genomics England. CNAqc is designed to support automated quality control procedures for tumor somatic data validation.
Collapse
Affiliation(s)
- Alice Antonello
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Riccardo Bergamin
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Nicola Calonaci
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Jacob Househam
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Salvatore Milite
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
- Centre for Computational Biology, Human Technopole, Milan, Italy
| | - Marc J Williams
- Department of Computational Oncology, Memorial Sloan Kettering, New York, USA
| | - Fabio Anselmi
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Alberto d'Onofrio
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | | | | | - William C H Cross
- Department of Research Pathology, UCL Cancer Institute, University College London, London, UK
| | - Giulio Caravagna
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy.
- Evolutionary Genomics and Modelling Team, Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
| |
Collapse
|
47
|
Teixeira E, Fernandes C, Bungărdean M, Paula ADC, Lima RT, Batista R, Vinagre J, Sobrinho-Simões M, Máximo V, Soares P. Investigating USP42 Mutation as Underlying Cause of Familial Non-Medullary Thyroid Carcinoma. Int J Mol Sci 2024; 25:1522. [PMID: 38338801 PMCID: PMC10855484 DOI: 10.3390/ijms25031522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
In a family with Familial Non-Medullary Thyroid Carcinoma (FNMTC), our investigation using Whole-Exome Sequencing (WES) uncovered a novel germline USP42 mutation [p.(Gly486Arg)]. USP42 is known for regulating p53, cell cycle arrest, and apoptosis, and for being reported as overexpressed in breast and gastric cancer patients. Recently, a USP13 missense mutation was described in FNMTC, suggesting a potential involvement in thyroid cancer. Aiming to explore the USP42 mutation as an underlying cause of FNMTC, our team validated the mutation in blood and tissue samples from the family. Using immunohistochemistry, the expression of USP42, Caspase-3, and p53 was assessed. The USP42 gene was silenced in human thyroid Nthy-Ori 3-1 cells using siRNAs. Subsequently, expression, viability, and morphological assays were conducted. p53, Cyclin D1, p21, and p27 proteins were evaluated by Western blot. USP42 protein was confirmed in all family members and was found to be overexpressed in tumor samples, along with an increased expression of p53 and cleaved Caspase-3. siRNA-mediated USP42 downregulation in Nthy-Ori 3-1 cells resulted in reduced cell viability, morphological changes, and modifications in cell cycle-related proteins. Our results suggest a pivotal role of USP42 mutation in thyroid cell biology, and this finding indicates that USP42 may serve as a new putative target in FNMTC.
Collapse
Affiliation(s)
- Elisabete Teixeira
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Biomedicina da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Cláudia Fernandes
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Bioquímica da Faculdade de Ciências da Universidade do Porto—FCUP, Rua do Campo Alegre 1021 1055, 4169-007 Porto, Portugal
- Departamento de Patologia e Imunologia Molecular do Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto—ICBAS, R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Maria Bungărdean
- Department of Pathology, Iuliu Haţieganu University of Medicine and Pharmacy, Municipal Clinical Hospital, Cluj-Napoca 400139, Romania
| | - Arnaud Da Cruz Paula
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
| | - Raquel T. Lima
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Patologia da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Rui Batista
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
| | - João Vinagre
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Patologia da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Manuel Sobrinho-Simões
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Patologia da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Valdemar Máximo
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Patologia da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Paula Soares
- Cancer Signalling and Metabolism Group do Instituto de Investigação e Inovação em Saúde—i3s, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
- Cancer Signalling and Metabolism Group do Instituto de Patologia e Imunologia Molecular da Universidade do Porto—Ipatimup, Rua Júlio Amaral de Carvalho 45, 4200-135 Porto, Portugal
- Departamento de Patologia da Faculdade de Medicina da Universidade do Porto—FMUP, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| |
Collapse
|
48
|
Zhao H, Baudis M. labelSeg: segment annotation for tumor copy number alteration profiles. Brief Bioinform 2024; 25:bbad541. [PMID: 38300514 PMCID: PMC10833088 DOI: 10.1093/bib/bbad541] [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] [Revised: 11/09/2023] [Accepted: 12/28/2024] [Indexed: 02/02/2024] Open
Abstract
Somatic copy number alterations (SCNAs) are a predominant type of oncogenomic alterations that affect a large proportion of the genome in the majority of cancer samples. Current technologies allow high-throughput measurement of such copy number aberrations, generating results consisting of frequently large sets of SCNA segments. However, the automated annotation and integration of such data are particularly challenging because the measured signals reflect biased, relative copy number ratios. In this study, we introduce labelSeg, an algorithm designed for rapid and accurate annotation of CNA segments, with the aim of enhancing the interpretation of tumor SCNA profiles. Leveraging density-based clustering and exploiting the length-amplitude relationships of SCNA, our algorithm proficiently identifies distinct relative copy number states from individual segment profiles. Its compatibility with most CNA measurement platforms makes it suitable for large-scale integrative data analysis. We confirmed its performance on both simulated and sample-derived data from The Cancer Genome Atlas reference dataset, and we demonstrated its utility in integrating heterogeneous segment profiles from different data sources and measurement platforms. Our comparative and integrative analysis revealed common SCNA patterns in cancer and protein-coding genes with a strong correlation between SCNA and messenger RNA expression, promoting the investigation into the role of SCNA in cancer development.
Collapse
Affiliation(s)
- Hangjia Zhao
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Computational Oncogenomics Group, Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Michael Baudis
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Computational Oncogenomics Group, Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| |
Collapse
|
49
|
Drexler R, Khatri R, Schüller U, Eckhardt A, Ryba A, Sauvigny T, Dührsen L, Mohme M, Ricklefs T, Bode H, Hausmann F, Huber TB, Bonn S, Voß H, Neumann JE, Silverbush D, Hovestadt V, Suvà ML, Lamszus K, Gempt J, Westphal M, Heiland DH, Hänzelmann S, Ricklefs FL. Temporal change of DNA methylation subclasses between matched newly diagnosed and recurrent glioblastoma. Acta Neuropathol 2024; 147:21. [PMID: 38244080 PMCID: PMC10799798 DOI: 10.1007/s00401-023-02677-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/08/2023] [Accepted: 12/24/2023] [Indexed: 01/22/2024]
Abstract
The longitudinal transition of phenotypes is pivotal in glioblastoma treatment resistance and DNA methylation emerged as an important tool for classifying glioblastoma phenotypes. We aimed to characterize DNA methylation subclass heterogeneity during progression and assess its clinical impact. Matched tissues from 47 glioblastoma patients were subjected to DNA methylation profiling, including CpG-site alterations, tissue and serum deconvolution, mass spectrometry, and immunoassay. Effects of clinical characteristics on temporal changes and outcomes were studied. Among 47 patients, 8 (17.0%) had non-matching classifications at recurrence. In the remaining 39 cases, 28.2% showed dominant DNA methylation subclass transitions, with 72.7% being a mesenchymal subclass. In general, glioblastomas with a subclass transition showed upregulated metabolic processes. Newly diagnosed glioblastomas with mesenchymal transition displayed increased stem cell-like states and decreased immune components at diagnosis and exhibited elevated immune signatures and cytokine levels in serum. In contrast, tissue of recurrent glioblastomas with mesenchymal transition showed increased immune components but decreased stem cell-like states. Survival analyses revealed comparable outcomes for patients with and without subclass transitions. This study demonstrates a temporal heterogeneity of DNA methylation subclasses in 28.2% of glioblastomas, not impacting patient survival. Changes in cell state composition associated with subclass transition may be crucial for recurrent glioblastoma targeted therapies.
Collapse
Affiliation(s)
- Richard Drexler
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Robin Khatri
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Alicia Eckhardt
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Department of Radiation Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Tammo Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Helena Bode
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Fabian Hausmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannah Voß
- Section of Mass Spectrometric Proteomics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia E Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dana Silverbush
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Volker Hovestadt
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mario L Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - Sonja Hänzelmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| |
Collapse
|
50
|
Fan Z, Liu Y, Li C, Jiang Y, Wang N, Wang M, Li C, Diao Y, Qiu W, Zhu X, Wang G, Cai S, Yang T, Lv G. T proliferating cells derived autophagy signature associated with prognosis and immunotherapy resistance in a pan-cancer analysis. iScience 2024; 27:108701. [PMID: 38222108 PMCID: PMC10784705 DOI: 10.1016/j.isci.2023.108701] [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: 05/25/2023] [Revised: 09/11/2023] [Accepted: 12/06/2023] [Indexed: 01/16/2024] Open
Abstract
Despite autophagy modulating tumor immunity in the tumor microenvironment (TME), the immunotherapeutic efficacy and potential mechanism of autophagy signature was not explicit. We manually curated an autophagy gene set and defined a pan-cancer autophagy signature by comparing malignant tissues and normal tissues in The Cancer Genome Atlas (TCGA) cohort. The pan-cancer autophagy signature was derived from T proliferating cells as demonstrated in multiple single-cell RNA sequencing (scRNA-seq) datasets. The pan-cancer autophagy signature could influence the cell-cell interactions in the TME and predict the responsiveness of immune checkpoint inhibitors (ICIs) in the metastatic renal cell carcinoma, non-small cell lung cancer, bladder cancer, and melanoma cohorts. Metabolism inactivation accompanied with dysregulation of autophagy was investigated with transcriptomic and proteomic data. The immunotherapeutic predictive role and mechanism regulation of the autophagy signature was validated in an in-house cohort. Our study provides valuable insights into the mechanisms of ICI resistance.
Collapse
Affiliation(s)
- Zhongqi Fan
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Jilin, China
| | - Yutao Liu
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Yanfang Jiang
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Centre, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Nanya Wang
- Phase I Clinical Trial Unit, First Hospital of Jilin University, Jilin, China
| | - Mingda Wang
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai, China
| | - Chao Li
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai, China
| | - Yongkang Diao
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai, China
| | - Wei Qiu
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Jilin, China
| | - Xin Zhu
- Burning Rock Biotech, Guangdong, China
| | | | | | - Tian Yang
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Jilin, China
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai, China
| | - Guoyue Lv
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Jilin, China
| |
Collapse
|