1
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El Zarif T, Meador CB, Qiu X, Seo JH, Davidsohn MP, Savignano H, Lakshminarayanan G, McClure HM, Canniff J, Fortunato B, Li R, Banwait MK, Semaan K, Eid M, Long H, Hung YP, Mahadevan NR, Barbie DA, Oser MG, Piotrowska Z, Choueiri TK, Baca SC, Hata AN, Freedman ML, Berchuck JE. Detecting Small Cell Transformation in Patients with Advanced EGFR Mutant Lung Adenocarcinoma through Epigenomic cfDNA Profiling. Clin Cancer Res 2024; 30:3798-3811. [PMID: 38912901 DOI: 10.1158/1078-0432.ccr-24-0466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/04/2024] [Accepted: 06/20/2024] [Indexed: 06/25/2024]
Abstract
PURPOSE Histologic transformation to small cell lung cancer (SCLC) is a mechanism of treatment resistance in patients with advanced oncogene-driven lung adenocarcinoma (LUAD) that currently requires histologic review for diagnosis. Herein, we sought to develop an epigenomic cell-free DNA (cfDNA)-based approach to noninvasively detect small cell transformation in patients with EGFR mutant (EGFRm) LUAD. EXPERIMENTAL DESIGN To characterize the epigenomic landscape of transformed (t)SCLC relative to LUAD and de novo SCLC, we performed chromatin immunoprecipitation sequencing (ChIP-seq) to profile the histone modifications H3K27ac, H3K4me3, and H3K27me3; methylated DNA immunoprecipitation sequencing (MeDIP-seq); assay for transposase-accessible chromatin sequencing; and RNA sequencing on 26 lung cancer patient-derived xenograft (PDX) tumors. We then generated and analyzed H3K27ac ChIP-seq, MeDIP-seq, and whole genome sequencing cfDNA data from 1 mL aliquots of plasma from patients with EGFRm LUAD with or without tSCLC. RESULTS Analysis of 126 epigenomic libraries from the lung cancer PDXs revealed widespread epigenomic reprogramming between LUAD and tSCLC, with a large number of differential H3K27ac (n = 24,424), DNA methylation (n = 3,298), and chromatin accessibility (n = 16,352) sites between the two histologies. Tumor-informed analysis of each of these three epigenomic features in cfDNA resulted in accurate noninvasive discrimination between patients with EGFRm LUAD versus tSCLC [area under the receiver operating characteristic curve (AUROC) = 0.82-0.87]. A multianalyte cfDNA-based classifier integrating these three epigenomic features discriminated between EGFRm LUAD versus tSCLC with an AUROC of 0.94. CONCLUSIONS These data demonstrate the feasibility of detecting small cell transformation in patients with EGFRm LUAD through epigenomic cfDNA profiling of 1 mL of patient plasma.
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Affiliation(s)
- Talal El Zarif
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Catherine B Meador
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Xintao Qiu
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew P Davidsohn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hunter Savignano
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gitanjali Lakshminarayanan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Heather M McClure
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - John Canniff
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Brad Fortunato
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rong Li
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mandeep K Banwait
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Karl Semaan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Eli and Edythe L. Broad Institute, Cambridge, Massachusetts
| | - Marc Eid
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yin P Hung
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Navin R Mahadevan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zofia Piotrowska
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Sylvan C Baca
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Eli and Edythe L. Broad Institute, Cambridge, Massachusetts
| | - Aaron N Hata
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Eli and Edythe L. Broad Institute, Cambridge, Massachusetts
| | - Jacob E Berchuck
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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2
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Rachid Zaim S, Pebworth MP, McGrath I, Okada L, Weiss M, Reading J, Czartoski JL, Torgerson TR, McElrath MJ, Bumol TF, Skene PJ, Li XJ. MOCHA's advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human cohorts. Nat Commun 2024; 15:6828. [PMID: 39122670 PMCID: PMC11316085 DOI: 10.1038/s41467-024-50612-6] [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: 07/13/2024] [Indexed: 08/12/2024] Open
Abstract
Single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) is being increasingly used to study gene regulation. However, major analytical gaps limit its utility in studying gene regulatory programs in complex diseases. In response, MOCHA (Model-based single cell Open CHromatin Analysis) presents major advances over existing analysis tools, including: 1) improving identification of sample-specific open chromatin, 2) statistical modeling of technical drop-out with zero-inflated methods, 3) mitigation of false positives in single cell analysis, 4) identification of alternative transcription-starting-site regulation, and 5) modules for inferring temporal gene regulatory networks from longitudinal data. These advances, in addition to open chromatin analyses, provide a robust framework after quality control and cell labeling to study gene regulatory programs in human disease. We benchmark MOCHA with four state-of-the-art tools to demonstrate its advances. We also construct cross-sectional and longitudinal gene regulatory networks, identifying potential mechanisms of COVID-19 response. MOCHA provides researchers with a robust analytical tool for functional genomic inference from scATAC-seq data.
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Affiliation(s)
| | | | | | - Lauren Okada
- Allen Institute for Immunology, Seattle, WA, USA
| | - Morgan Weiss
- Allen Institute for Immunology, Seattle, WA, USA
| | | | - Julie L Czartoski
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - M Juliana McElrath
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | | | - Xiao-Jun Li
- Allen Institute for Immunology, Seattle, WA, USA.
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3
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Seehawer M, Li Z, Nishida J, Foidart P, Reiter AH, Rojas-Jimenez E, Goyette MA, Yan P, Raval S, Munoz Gomez M, Cejas P, Long HW, Papanastasiou M, Polyak K. Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3. Nat Cell Biol 2024; 26:1165-1175. [PMID: 38926506 PMCID: PMC11251985 DOI: 10.1038/s41556-024-01446-3] [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: 08/15/2023] [Accepted: 05/29/2024] [Indexed: 06/28/2024]
Abstract
KMT2C and KMT2D, encoding histone H3 lysine 4 methyltransferases, are among the most commonly mutated genes in triple-negative breast cancer (TNBC). However, how these mutations may shape epigenomic and transcriptomic landscapes to promote tumorigenesis is largely unknown. Here we describe that deletion of Kmt2c or Kmt2d in non-metastatic murine models of TNBC drives metastasis, especially to the brain. Global chromatin profiling and chromatin immunoprecipitation followed by sequencing revealed altered H3K4me1, H3K27ac and H3K27me3 chromatin marks in knockout cells and demonstrated enhanced binding of the H3K27me3 lysine demethylase KDM6A, which significantly correlated with gene expression. We identified Mmp3 as being commonly upregulated via epigenetic mechanisms in both knockout models. Consistent with these findings, samples from patients with KMT2C-mutant TNBC have higher MMP3 levels. Downregulation or pharmacological inhibition of KDM6A diminished Mmp3 upregulation induced by the loss of histone-lysine N-methyltransferase 2 (KMT2) and prevented brain metastasis similar to direct downregulation of Mmp3. Taken together, we identified the KDM6A-matrix metalloproteinase 3 axis as a key mediator of KMT2C/D loss-driven metastasis in TNBC.
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Affiliation(s)
- Marco Seehawer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Zheqi Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jun Nishida
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Pierre Foidart
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Ernesto Rojas-Jimenez
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Marie-Anne Goyette
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Pengze Yan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Shaunak Raval
- The Eli and Edythe L. Broad Institute, Cambridge, MA, USA
| | - Miguel Munoz Gomez
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Henry W Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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4
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Salignon J, Millan-Ariño L, Garcia MU, Riedel CG. Cactus: A user-friendly and reproducible ATAC-Seq and mRNA-Seq analysis pipeline for data preprocessing, differential analysis, and enrichment analysis. Genomics 2024; 116:110858. [PMID: 38735595 DOI: 10.1016/j.ygeno.2024.110858] [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: 02/09/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
The ever decreasing cost of Next-Generation Sequencing coupled with the emergence of efficient and reproducible analysis pipelines has rendered genomic methods more accessible. However, downstream analyses are basic or missing in most workflows, creating a significant barrier for non-bioinformaticians. To help close this gap, we developed Cactus, an end-to-end pipeline for analyzing ATAC-Seq and mRNA-Seq data, either separately or jointly. Its Nextflow-, container-, and virtual environment-based architecture ensures efficient and reproducible analyses. Cactus preprocesses raw reads, conducts differential analyses between conditions, and performs enrichment analyses in various databases, including DNA-binding motifs, ChIP-Seq binding sites, chromatin states, and ontologies. We demonstrate the utility of Cactus in a multi-modal and multi-species case study as well as by showcasing its unique capabilities as compared to other ATAC-Seq pipelines. In conclusion, Cactus can assist researchers in gaining comprehensive insights from chromatin accessibility and gene expression data in a quick, user-friendly, and reproducible manner.
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Affiliation(s)
- Jérôme Salignon
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
| | - Lluís Millan-Ariño
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden
| | - Maxime U Garcia
- National Genomics Infrastructure, Science for Life Laboratory, Tomtebodavägen 23A, Solna SE-171 65, Sweden; Department of Oncology-Pathology, Karolinska Institute, Visionsgatan 4, Solna SE-171 64, Sweden
| | - Christian G Riedel
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
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5
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Neeb A, Figueiredo I, Bogdan D, Cato L, Stober J, Jiménez-Vacas JM, Gourain V, Lee II, Seeger R, Muhle-Goll C, Gurel B, Welti J, Nava Rodrigues D, Rekowski J, Qiu X, Jiang Y, Di Micco P, Mateos B, Bielskutė S, Riisnaes R, Ferreira A, Miranda S, Crespo M, Buroni L, Ning J, Carreira S, Bräse S, Jung N, Gräßle S, Swain A, Salvatella X, Plymate SR, Al-Lazikani B, Long HW, Yuan W, Brown M, Cato AC, de Bono JS, Sharp A. Thio-2 Inhibits Key Signaling Pathways Required for the Development and Progression of Castration-resistant Prostate Cancer. Mol Cancer Ther 2024; 23:791-808. [PMID: 38412481 PMCID: PMC11148553 DOI: 10.1158/1535-7163.mct-23-0354] [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: 06/08/2023] [Revised: 09/26/2023] [Accepted: 02/22/2024] [Indexed: 02/29/2024]
Abstract
Therapies that abrogate persistent androgen receptor (AR) signaling in castration-resistant prostate cancer (CRPC) remain an unmet clinical need. The N-terminal domain of the AR that drives transcriptional activity in CRPC remains a challenging therapeutic target. Herein we demonstrate that BCL-2-associated athanogene-1 (BAG-1) mRNA is highly expressed and associates with signaling pathways, including AR signaling, that are implicated in the development and progression of CRPC. In addition, interrogation of geometric and physiochemical properties of the BAG domain of BAG-1 isoforms identifies it to be a tractable but challenging drug target. Furthermore, through BAG-1 isoform mouse knockout studies, we confirm that BAG-1 isoforms regulate hormone physiology and that therapies targeting the BAG domain will be associated with limited "on-target" toxicity. Importantly, the postulated inhibitor of BAG-1 isoforms, Thio-2, suppressed AR signaling and other important pathways implicated in the development and progression of CRPC to reduce the growth of treatment-resistant prostate cancer cell lines and patient-derived models. However, the mechanism by which Thio-2 elicits the observed phenotype needs further elucidation as the genomic abrogation of BAG-1 isoforms was unable to recapitulate the Thio-2-mediated phenotype. Overall, these data support the interrogation of related compounds with improved drug-like properties as a novel therapeutic approach in CRPC, and further highlight the clinical potential of treatments that block persistent AR signaling which are currently undergoing clinical evaluation in CRPC.
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Affiliation(s)
- Antje Neeb
- Institute of Cancer Research, London, United Kingdom
| | | | - Denisa Bogdan
- Institute of Cancer Research, London, United Kingdom
| | - Laura Cato
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jutta Stober
- Karlsruhe Institute of Technology (KIT), Institute for Biological and Chemical Systems – Biological Information Processing (IBCS-BIP), Eggenstein-Leopoldshafen, Germany
| | | | - Victor Gourain
- Karlsruhe Institute of Technology (KIT), Institute for Biological and Chemical Systems – Biological Information Processing (IBCS-BIP), Eggenstein-Leopoldshafen, Germany
| | - Irene I. Lee
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rebecca Seeger
- Karlsruhe Institute of Technology (KIT), Institute for Biological and Chemical Systems – Biological Information Processing (IBCS-BIP), Eggenstein-Leopoldshafen, Germany
| | - Claudia Muhle-Goll
- Karlsruhe Institute of Technology (KIT), Institute for Biological Interfaces 4 (IBG-4), Eggenstein-Leopoldshafen, Germany
| | - Bora Gurel
- Institute of Cancer Research, London, United Kingdom
| | | | | | - Jan Rekowski
- Institute of Cancer Research, London, United Kingdom
| | - Xintao Qiu
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yija Jiang
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Patrizio Di Micco
- Institute of Cancer Research, London, United Kingdom
- MD Anderson Cancer Centre, Houston, Texas
| | - Borja Mateos
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Stasė Bielskutė
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Ruth Riisnaes
- Institute of Cancer Research, London, United Kingdom
| | - Ana Ferreira
- Institute of Cancer Research, London, United Kingdom
| | | | - Mateus Crespo
- Institute of Cancer Research, London, United Kingdom
| | | | - Jian Ning
- Institute of Cancer Research, London, United Kingdom
| | | | - Stefan Bräse
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems – Functional Molecular Systems (IBCS-FMS), Eggenstein-Leopoldshafen, Germany
| | - Nicole Jung
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems – Functional Molecular Systems (IBCS-FMS), Eggenstein-Leopoldshafen, Germany
| | - Simone Gräßle
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems – Functional Molecular Systems (IBCS-FMS), Eggenstein-Leopoldshafen, Germany
| | - Amanda Swain
- Institute of Cancer Research, London, United Kingdom
| | - Xavier Salvatella
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | - Stephen R. Plymate
- University of Washington, Seattle, Washington
- Geriatrics Research, Education and Clinical Center, VAPSHCS, Seattle, Washington
| | | | | | - Wei Yuan
- Institute of Cancer Research, London, United Kingdom
| | - Myles Brown
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew C.B. Cato
- Karlsruhe Institute of Technology (KIT), Institute for Biological and Chemical Systems – Biological Information Processing (IBCS-BIP), Eggenstein-Leopoldshafen, Germany
| | - Johann S. de Bono
- Institute of Cancer Research, London, United Kingdom
- Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Adam Sharp
- Institute of Cancer Research, London, United Kingdom
- Royal Marsden NHS Foundation Trust, London, United Kingdom
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6
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Goyette MA, Stevens LE, DePinho CR, Seehawer M, Nishida J, Li Z, Wilde CM, Li R, Qiu X, Pyke AL, Zhao S, Lim K, Tender GS, Northey JJ, Riley NM, Long HW, Bertozzi CR, Weaver VM, Polyak K. Cancer-stromal cell interactions in breast cancer brain metastases induce glycocalyx-mediated resistance to HER2-targeting therapies. Proc Natl Acad Sci U S A 2024; 121:e2322688121. [PMID: 38709925 PMCID: PMC11098130 DOI: 10.1073/pnas.2322688121] [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: 12/22/2023] [Accepted: 03/27/2024] [Indexed: 05/08/2024] Open
Abstract
Brain metastatic breast cancer is particularly lethal largely due to therapeutic resistance. Almost half of the patients with metastatic HER2-positive breast cancer develop brain metastases, representing a major clinical challenge. We previously described that cancer-associated fibroblasts are an important source of resistance in primary tumors. Here, we report that breast cancer brain metastasis stromal cell interactions in 3D cocultures induce therapeutic resistance to HER2-targeting agents, particularly to the small molecule inhibitor of HER2/EGFR neratinib. We investigated the underlying mechanisms using a synthetic Notch reporter system enabling the sorting of cancer cells that directly interact with stromal cells. We identified mucins and bulky glycoprotein synthesis as top-up-regulated genes and pathways by comparing the gene expression and chromatin profiles of stroma-contact and no-contact cancer cells before and after neratinib treatment. Glycoprotein gene signatures were also enriched in human brain metastases compared to primary tumors. We confirmed increased glycocalyx surrounding cocultures by immunofluorescence and showed that mucinase treatment increased sensitivity to neratinib by enabling a more efficient inhibition of EGFR/HER2 signaling in cancer cells. Overexpression of truncated MUC1 lacking the intracellular domain as a model of increased glycocalyx-induced resistance to neratinib both in cell culture and in experimental brain metastases in immunodeficient mice. Our results highlight the importance of glycoproteins as a resistance mechanism to HER2-targeting therapies in breast cancer brain metastases.
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Affiliation(s)
- Marie-Anne Goyette
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
| | - Laura E. Stevens
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
| | - Carolyn R. DePinho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
| | - Marco Seehawer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
| | - Jun Nishida
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
| | - Zheqi Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
| | - Callahan M. Wilde
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
| | - Rong Li
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA02215
| | - Xintao Qiu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA02215
| | - Alanna L. Pyke
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
| | - Stephanie Zhao
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
| | - Klothilda Lim
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA02215
| | | | - Jason J. Northey
- Center for Bioengineering and Tissue Regeneration, University of California San Francisco, San Francisco, CA94143
| | | | - Henry W. Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA02215
| | - Carolyn R. Bertozzi
- Department of Chemistry, Stanford University, Stanford, CA94305
- HHMI, Stanford University, Stanford, CA94305
- Sarafan ChEM-H, Stanford University, Stanford, CA94305
| | - Valerie M. Weaver
- Center for Bioengineering and Tissue Regeneration, University of California San Francisco, San Francisco, CA94143
- Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA94143
- Department of Surgery, University of California San Francisco, San Francisco, CA94143
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA94143
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA94143
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA94143
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA02215
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Department of Medicine, Brigham and Women's Hospital, Boston, MA02115
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7
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Wang J, Nakato R. Churros: a Docker-based pipeline for large-scale epigenomic analysis. DNA Res 2024; 31:dsad026. [PMID: 38102723 DOI: 10.1093/dnares/dsad026] [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: 11/23/2023] [Accepted: 12/13/2023] [Indexed: 12/17/2023] Open
Abstract
The epigenome, which reflects the modifications on chromatin or DNA sequences, provides crucial insight into gene expression regulation and cellular activity. With the continuous accumulation of epigenomic datasets such as chromatin immunoprecipitation followed by sequencing (ChIP-seq) data, there is a great demand for a streamlined pipeline to consistently process them, especially for large-dataset comparisons involving hundreds of samples. Here, we present Churros, an end-to-end epigenomic analysis pipeline that is environmentally independent and optimized for handling large-scale data. We successfully demonstrated the effectiveness of Churros by analyzing large-scale ChIP-seq datasets with the hg38 or Telomere-to-Telomere (T2T) human reference genome. We found that applying T2T to the typical analysis workflow has important impacts on read mapping, quality checks, and peak calling. We also introduced a useful feature to study context-specific epigenomic landscapes. Churros will contribute a comprehensive and unified resource for analyzing large-scale epigenomic data.
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Affiliation(s)
- Jiankang Wang
- School of Biomedical Sciences, Hunan University, Changsha, Hunan, China
- Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Ryuichiro Nakato
- Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
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8
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Lampe GD, King RT, Halpin-Healy TS, Klompe SE, Hogan MI, Vo PLH, Tang S, Chavez A, Sternberg SH. Targeted DNA integration in human cells without double-strand breaks using CRISPR-associated transposases. Nat Biotechnol 2024; 42:87-98. [PMID: 36991112 PMCID: PMC10620015 DOI: 10.1038/s41587-023-01748-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
Conventional genome engineering with CRISPR-Cas9 creates double-strand breaks (DSBs) that lead to undesirable byproducts and reduce product purity. Here we report an approach for programmable integration of large DNA sequences in human cells that avoids the generation of DSBs by using Type I-F CRISPR-associated transposases (CASTs). We optimized DNA targeting by the QCascade complex through protein design and developed potent transcriptional activators by exploiting the multi-valent recruitment of the AAA+ ATPase TnsC to genomic sites targeted by QCascade. After initial detection of plasmid-based integration, we screened 15 additional CAST systems from a wide range of bacterial hosts, identified a homolog from Pseudoalteromonas that exhibits improved activity and further increased integration efficiencies. Finally, we discovered that bacterial ClpX enhances genomic integration by multiple orders of magnitude, likely by promoting active disassembly of the post-integration CAST complex, akin to its known role in Mu transposition. Our work highlights the ability to reconstitute complex, multi-component machineries in human cells and establishes a strong foundation to exploit CRISPR-associated transposases for eukaryotic genome engineering.
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Affiliation(s)
- George D Lampe
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Rebeca T King
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Tyler S Halpin-Healy
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA
| | - Sanne E Klompe
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Department of Genomes and Genetics, Institut Pasteur, Paris, France
| | - Marcus I Hogan
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Phuc Leo H Vo
- Department of Molecular Pharmacology and Therapeutics, Columbia University, New York, NY, USA
- Vertex Pharmaceuticals, Inc., Boston, MA, USA
| | - Stephen Tang
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Alejandro Chavez
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Samuel H Sternberg
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.
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9
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Alečković M, Li Z, Zhou N, Qiu X, Lulseged B, Foidart P, Huang XY, Garza K, Shu S, Kesten N, Li R, Lim K, Garrido-Castro AC, Guerriero JL, Qi J, Long HW, Polyak K. Combination Therapies to Improve the Efficacy of Immunotherapy in Triple-negative Breast Cancer. Mol Cancer Ther 2023; 22:1304-1318. [PMID: 37676980 PMCID: PMC10618734 DOI: 10.1158/1535-7163.mct-23-0303] [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: 05/18/2023] [Revised: 07/05/2023] [Accepted: 08/31/2023] [Indexed: 09/09/2023]
Abstract
Immune checkpoint inhibition combined with chemotherapy is currently approved as first-line treatment for patients with advanced PD-L1-positive triple-negative breast cancer (TNBC). However, a significant proportion of metastatic TNBC is PD-L1-negative and, in this population, chemotherapy alone largely remains the standard-of-care and novel therapeutic strategies are needed to improve clinical outcomes. Here, we describe a triple combination of anti-PD-L1 immune checkpoint blockade, epigenetic modulation thorough bromodomain and extra-terminal (BET) bromodomain inhibition (BBDI), and chemotherapy with paclitaxel that effectively inhibits both primary and metastatic tumor growth in two different syngeneic murine models of TNBC. Detailed cellular and molecular profiling of tumors from single and combination treatment arms revealed increased T- and B-cell infiltration and macrophage reprogramming from MHCIIlow to a MHCIIhigh phenotype in mice treated with triple combination. Triple combination also had a major impact on gene expression and chromatin profiles shifting cells to a more immunogenic and senescent state. Our results provide strong preclinical evidence to justify clinical testing of BBDI, paclitaxel, and immune checkpoint blockade combination.
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Affiliation(s)
- Maša Alečković
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Zheqi Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ningxuan Zhou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Xintao Qiu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Bethlehem Lulseged
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Pierre Foidart
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Xiao-Yun Huang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kodie Garza
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Shaokun Shu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Nikolas Kesten
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Rong Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Klothilda Lim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Ana C. Garrido-Castro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jennifer L. Guerriero
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Surgery, Division of Breast Surgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jun Qi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Henry W. Long
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
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10
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Hermida-Prado F, Xie Y, Sherman S, Nagy Z, Russo D, Akhshi T, Chu Z, Feit A, Campisi M, Chen M, Nardone A, Guarducci C, Lim K, Font-Tello A, Lee I, García-Pedrero J, Cañadas I, Agudo J, Huang Y, Sella T, Jin Q, Tayob N, Mittendorf EA, Tolaney SM, Qiu X, Long H, Symmans WF, Lin JR, Santagata S, Bedrosian I, Yardley DA, Mayer IA, Richardson ET, Oliveira G, Wu CJ, Schuster EF, Dowsett M, Welm AL, Barbie D, Metzger O, Jeselsohn R. Endocrine Therapy Synergizes with SMAC Mimetics to Potentiate Antigen Presentation and Tumor Regression in Hormone Receptor-Positive Breast Cancer. Cancer Res 2023; 83:3284-3304. [PMID: 37450351 PMCID: PMC10543960 DOI: 10.1158/0008-5472.can-23-1711] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Immunotherapies have yet to demonstrate significant efficacy in the treatment of hormone receptor-positive (HR+) breast cancer. Given that endocrine therapy (ET) is the primary approach for treating HR+ breast cancer, we investigated the effects of ET on the tumor immune microenvironment (TME) in HR+ breast cancer. Spatial proteomics of primary HR+ breast cancer samples obtained at baseline and after ET from patients enrolled in a neoadjuvant clinical trial (NCT02764541) indicated that ET upregulated β2-microglobulin and influenced the TME in a manner that promotes enhanced immunogenicity. To gain a deeper understanding of the underlying mechanisms, the intrinsic effects of ET on cancer cells were explored, which revealed that ET plays a crucial role in facilitating the chromatin binding of RelA, a key component of the NF-κB complex. Consequently, heightened NF-κB signaling enhanced the response to interferon-gamma, leading to the upregulation of β2-microglobulin and other antigen presentation-related genes. Further, modulation of NF-κB signaling using a SMAC mimetic in conjunction with ET augmented T-cell migration and enhanced MHC-I-specific T-cell-mediated cytotoxicity. Remarkably, the combination of ET and SMAC mimetics, which also blocks prosurvival effects of NF-κB signaling through the degradation of inhibitors of apoptosis proteins, elicited tumor regression through cell autonomous mechanisms, providing additional support for their combined use in HR+ breast cancer. SIGNIFICANCE Adding SMAC mimetics to endocrine therapy enhances tumor regression in a cell autonomous manner while increasing tumor immunogenicity, indicating that this combination could be an effective treatment for HR+ patients with breast cancer.
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Affiliation(s)
- Francisco Hermida-Prado
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), IUOPA, Oviedo, Spain
- CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Yingtian Xie
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Shira Sherman
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zsuzsanna Nagy
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Douglas Russo
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tara Akhshi
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zhengtao Chu
- Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City, Utah
| | - Avery Feit
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marco Campisi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Minyue Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Immunology, Harvard Medical School, Boston, Massachusetts
| | - Agostina Nardone
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cristina Guarducci
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Klothilda Lim
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alba Font-Tello
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Irene Lee
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Juana García-Pedrero
- University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), IUOPA, Oviedo, Spain
- CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Israel Cañadas
- Blood Cell Development and Function Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Judith Agudo
- Harvard Medical School, Boston, Massachusetts
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ying Huang
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tal Sella
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Qingchun Jin
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nabihah Tayob
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Elizabeth A. Mittendorf
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sara M. Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Xintao Qiu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Jia-Ren Lin
- Ludwig Center at Harvard and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
| | - Sandro Santagata
- Ludwig Center at Harvard and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Isabelle Bedrosian
- Department of Breast Surgical Oncology, Division of Surgery, MD Anderson Cancer Center, Houston, Texas
| | - Denise A. Yardley
- Department of Medical Oncology, Sarah Cannon Cancer Center, Nashville, Tennessee
- Tennessee Oncology, Nashville, Tennessee
| | - Ingrid A. Mayer
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Edward T. Richardson
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Catherine J. Wu
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Eugene F. Schuster
- The BC Now Toby Robins Research Centre at the Institute of Cancer Research, London, United Kingdom
- Ralph Lauren Centre for BC Research, Royal Marsden Hospital, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Mitch Dowsett
- The BC Now Toby Robins Research Centre at the Institute of Cancer Research, London, United Kingdom
- Ralph Lauren Centre for BC Research, Royal Marsden Hospital, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Alana L. Welm
- Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City, Utah
| | - David Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Otto Metzger
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Rinath Jeselsohn
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
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11
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Fei L, Zhang K, Poddar N, Hautaniemi S, Sahu B. Single-cell epigenome analysis identifies molecular events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells. Dev Cell 2023; 58:1701-1715.e8. [PMID: 37751683 DOI: 10.1016/j.devcel.2023.08.023] [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: 03/08/2023] [Revised: 07/13/2023] [Accepted: 08/16/2023] [Indexed: 09/28/2023]
Abstract
Cell fate can be reprogrammed by ectopic expression of lineage-specific transcription factors (TFs). However, the exact cell state transitions during transdifferentiation are still poorly understood. Here, we have generated pancreatic exocrine cells of ductal epithelial identity from human fibroblasts using a set of six TFs. We mapped the molecular determinants of lineage dynamics using a factor-indexing method based on single-nuclei multiome sequencing (FI-snMultiome-seq) that enables dissecting the role of each individual TF and pool of TFs in cell fate conversion. We show that transition from mesenchymal fibroblast identity to epithelial pancreatic exocrine fate involves two deterministic steps: an endodermal progenitor state defined by activation of HHEX with FOXA2 and SOX17 and a temporal GATA4 activation essential for the maintenance of pancreatic cell fate program. Collectively, our data suggest that transdifferentiation-although being considered a direct cell fate conversion method-occurs through transient progenitor states orchestrated by stepwise activation of distinct TFs.
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Affiliation(s)
- Liangru Fei
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland
| | - Kaiyang Zhang
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland
| | - Nikita Poddar
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland
| | - Biswajyoti Sahu
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland; Medicum, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki 00014, Finland; Centre for Molecular Medicine Norway, Faculty of Medicine, University of Oslo, Gaustadelléen 21, 0349 Oslo, Norway.
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12
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Duplaquet L, Li Y, Booker MA, Xie Y, Olsen SN, Patel RA, Hong D, Hatton C, Denize T, Walton E, Laimon YN, Li R, Jiang Y, Bronson RT, Southard J, Li S, Signoretti S, Qiu X, Cejas P, Armstrong SA, Long HW, Tolstorukov MY, Haffner MC, Oser MG. KDM6A epigenetically regulates subtype plasticity in small cell lung cancer. Nat Cell Biol 2023; 25:1346-1358. [PMID: 37591951 PMCID: PMC10546329 DOI: 10.1038/s41556-023-01210-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 07/19/2023] [Indexed: 08/19/2023]
Abstract
Small cell lung cancer (SCLC) exists broadly in four molecular subtypes: ASCL1, NEUROD1, POU2F3 and Inflammatory. Initially, SCLC subtypes were thought to be mutually exclusive, but recent evidence shows intra-tumoural subtype heterogeneity and plasticity between subtypes. Here, using a CRISPR-based autochthonous SCLC genetically engineered mouse model to study the consequences of KDM6A/UTX inactivation, we show that KDM6A inactivation induced plasticity from ASCL1 to NEUROD1 resulting in SCLC tumours that express both ASCL1 and NEUROD1. Mechanistically, KDM6A normally maintains an active chromatin state that favours the ASCL1 subtype with its loss decreasing H3K4me1 and increasing H3K27me3 at enhancers of neuroendocrine genes leading to a cell state that is primed for ASCL1-to-NEUROD1 subtype switching. This work identifies KDM6A as an epigenetic regulator that controls ASCL1 to NEUROD1 subtype plasticity and provides an autochthonous SCLC genetically engineered mouse model to model ASCL1 and NEUROD1 subtype heterogeneity and plasticity, which is found in 35-40% of human SCLCs.
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Affiliation(s)
- Leslie Duplaquet
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yixiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthew A Booker
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yingtian Xie
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sarah Naomi Olsen
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Boston Children's Hospital, Boston, MA, USA
| | - Radhika A Patel
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Deli Hong
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Charlie Hatton
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Boston Children's Hospital, Boston, MA, USA
| | - Thomas Denize
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Emily Walton
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yasmin N Laimon
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rong Li
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yijia Jiang
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Roderick T Bronson
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA
| | - Jackson Southard
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shuqiang Li
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sabina Signoretti
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Xintao Qiu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Paloma Cejas
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Scott A Armstrong
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Boston Children's Hospital, Boston, MA, USA
| | - Henry W Long
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael Y Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael C Haffner
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
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13
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Lampe GD, King RT, Halpin-Healy TS, Klompe SE, Hogan MI, Vo PLH, Tang S, Chavez A, Sternberg SH. Targeted DNA integration in human cells without double-strand breaks using CRISPR RNA-guided transposases. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.17.533036. [PMID: 36993517 PMCID: PMC10055298 DOI: 10.1101/2023.03.17.533036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Traditional genome-editing reagents such as CRISPR-Cas9 achieve targeted DNA modification by introducing double-strand breaks (DSBs), thereby stimulating localized DNA repair by endogenous cellular repair factors. While highly effective at generating heterogenous knockout mutations, this approach suffers from undesirable byproducts and an inability to control product purity. Here we develop a system in human cells for programmable, DSB-free DNA integration using Type I CRISPR-associated transposons (CASTs). To adapt our previously described CAST systems, we optimized DNA targeting by the QCascade complex through a comprehensive assessment of protein design, and we developed potent transcriptional activators by exploiting the multi-valent recruitment of the AAA+ ATPase, TnsC, to genomic sites targeted by QCascade. After initial detection of plasmid-based transposition, we screened 15 homologous CAST systems from a wide range of bacterial hosts, identified a CAST homolog from Pseudoalteromonas that exhibited improved activity, and increased integration efficiencies through parameter optimization. We further discovered that bacterial ClpX enhances genomic integration by multiple orders of magnitude, and we propose that this critical accessory factor functions to drive active disassembly of the post-transposition CAST complex, akin to its demonstrated role in Mu transposition. Our work highlights the ability to functionally reconstitute complex, multi-component machineries in human cells, and establishes a strong foundation to realize the full potential of CRISPR-associated transposons for human genome engineering.
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Affiliation(s)
- George D Lampe
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Rebeca T King
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Tyler S Halpin-Healy
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Sanne E Klompe
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Marcus I Hogan
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Phuc Leo H Vo
- Department of Molecular Pharmacology and Therapeutics, Columbia University, New York, NY, USA
| | - Stephen Tang
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Alejandro Chavez
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Samuel H Sternberg
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
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14
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Ma X, Chen Y, Liu M, Xue X, Zhang X, Xu L, Lai Z, Lin Y. Genome-wide analysis of the XTH gene family and functional analysis of DlXTH23.5/25 during early longan somatic embryogenesis. FRONTIERS IN PLANT SCIENCE 2022; 13:1043464. [PMID: 36507400 PMCID: PMC9727300 DOI: 10.3389/fpls.2022.1043464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/31/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Xyloglucan endotransglucosylase (XET)/hydrolase (XTH) is a cell wall-modifying protein that affects cell expansion and loosening of the cell wall. RESULTS This study focused on the regulatory mechanism of DlXTH genes during early somatic embryogenesis (SE) and the heat stress response in longan. Mining of the available D. longan genome sequence yielded 25 putative XTH genes. Transcript profiles based on RNA sequencing (RNA-seq) data showed that most of the 17 detected DlXTH genes were highly expressed in the embryogenic callus (EC) (8) and globular embryo (GE) (8), and 13 of them responded significantly to heat stress. The assay for transposase-accessible chromatin sequencing (ATAC-seq) data analysis showed that in terms of chromatin accessibility, 22 of the 25 DlXTH genes were open during early SE, and most of the peak DlXTH genes with transcription differences during early SE were associated with high levels of H3K4me1. The most differentially expressed genes, DlXTH23.5 and DlXTH25, were selected for analysis. According to subcellular localization and quantitative real-time PCR (qRT-PCR) analysis, DlXTH23.5/25, which encode cell membrane-localized proteins, were expressed at the highest level in the GE and significantly responded to heat stress. Dual-luciferase assays and transient transformation showed that the transcription factors (TFs) DlWRKY31, DlERF1, and DlERF5 might bind to the DlXTH23.5/25 promoters to activate gene transcription. Transient overexpression of TFs and DlXTH23.5/25 induced XET activity in Nicotiana benthamiana leaves. Under heat stress in the longan EC, the XET activities and expression levels of TFs and DlXTH23.5/25 were significantly increased, and a high concentration of XET might inhibit longan SE. DISCUSSIONS Thus, the regulatory network composed of DlXTH23.5/25 and its related TFs may regulate early longan SE and participate in the regulatory pathway of longan under heat stress via cell wall repair through the action of XET.
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15
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Biermann J, Melms JC, Amin AD, Wang Y, Caprio LA, Karz A, Tagore S, Barrera I, Ibarra-Arellano MA, Andreatta M, Fullerton BT, Gretarsson KH, Sahu V, Mangipudy VS, Nguyen TTT, Nair A, Rogava M, Ho P, Koch PD, Banu M, Humala N, Mahajan A, Walsh ZH, Shah SB, Vaccaro DH, Caldwell B, Mu M, Wünnemann F, Chazotte M, Berhe S, Luoma AM, Driver J, Ingham M, Khan SA, Rapisuwon S, Slingluff CL, Eigentler T, Röcken M, Carvajal R, Atkins MB, Davies MA, Agustinus A, Bakhoum SF, Azizi E, Siegelin M, Lu C, Carmona SJ, Hibshoosh H, Ribas A, Canoll P, Bruce JN, Bi WL, Agrawal P, Schapiro D, Hernando E, Macosko EZ, Chen F, Schwartz GK, Izar B. Dissecting the treatment-naive ecosystem of human melanoma brain metastasis. Cell 2022; 185:2591-2608.e30. [PMID: 35803246 PMCID: PMC9677434 DOI: 10.1016/j.cell.2022.06.007] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 04/08/2022] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
Melanoma brain metastasis (MBM) frequently occurs in patients with advanced melanoma; yet, our understanding of the underlying salient biology is rudimentary. Here, we performed single-cell/nucleus RNA-seq in 22 treatment-naive MBMs and 10 extracranial melanoma metastases (ECMs) and matched spatial single-cell transcriptomics and T cell receptor (TCR)-seq. Cancer cells from MBM were more chromosomally unstable, adopted a neuronal-like cell state, and enriched for spatially variably expressed metabolic pathways. Key observations were validated in independent patient cohorts, patient-derived MBM/ECM xenograft models, RNA/ATAC-seq, proteomics, and multiplexed imaging. Integrated spatial analyses revealed distinct geography of putative cancer immune evasion and evidence for more abundant intra-tumoral B to plasma cell differentiation in lymphoid aggregates in MBM. MBM harbored larger fractions of monocyte-derived macrophages and dysfunctional TOX+CD8+ T cells with distinct expression of immune checkpoints. This work provides comprehensive insights into MBM biology and serves as a foundational resource for further discovery and therapeutic exploration.
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Affiliation(s)
- Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Yiping Wang
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Lindsay A Caprio
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alcida Karz
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Somnath Tagore
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Irving Barrera
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Miguel A Ibarra-Arellano
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Massimo Andreatta
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Benjamin T Fullerton
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Kristjan H Gretarsson
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Varun Sahu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Vaibhav S Mangipudy
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Trang T T Nguyen
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Ajay Nair
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Meri Rogava
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Patricia Ho
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Peter D Koch
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Matei Banu
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Nelson Humala
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Aayushi Mahajan
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Zachary H Walsh
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Shivem B Shah
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Daniel H Vaccaro
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Blake Caldwell
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Michael Mu
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Florian Wünnemann
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Margot Chazotte
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Simon Berhe
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Adrienne M Luoma
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Center, Boston, MA 02215, USA
| | - Joseph Driver
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Ingham
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Shaheer A Khan
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Suthee Rapisuwon
- Division of Hematology/Oncology, Medstar Washington Cancer Institute, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Craig L Slingluff
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | - Thomas Eigentler
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venereology and Allergology, 10117, Berlin, Germany
| | - Martin Röcken
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Richard Carvajal
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Michael B Atkins
- Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Albert Agustinus
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pharmacology, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Samuel F Bakhoum
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA
| | - Markus Siegelin
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Chao Lu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Santiago J Carmona
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Hanina Hibshoosh
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Antoni Ribas
- Department of Medicine, Jonsson Comprehensive Cancer Center, University of California, Los Angeles (UCLA), Los Angeles, CA 90024, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Praveen Agrawal
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Denis Schapiro
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Eva Hernando
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Evan Z Macosko
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Gary K Schwartz
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA.
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16
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Qiu X, Brown LG, Conner JL, Nguyen HM, Boufaied N, Abou Alaiwi S, Seo JH, El Zarif T, Bell C, O’Connor E, Hanratty B, Pomerantz M, Freedman ML, Brown M, Haffner MC, Nelson PS, Feng FY, Labbé DP, Long HW, Corey E. Response to supraphysiological testosterone is predicted by a distinct androgen receptor cistrome. JCI Insight 2022; 7:157164. [PMID: 35603787 PMCID: PMC9220831 DOI: 10.1172/jci.insight.157164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The androgen receptor (AR) is a master transcription factor that regulates prostate cancer (PC) development and progression. Inhibition of AR signaling by androgen deprivation is the first-line therapy with initial efficacy for advanced and recurrent PC. Paradoxically, supraphysiological levels of testosterone (SPT) also inhibit PC progression. However, as with any therapy, not all patients show a therapeutic benefit, and responses differ widely in magnitude and duration. In this study, we evaluated whether differences in the AR cistrome before treatment can distinguish between SPT-responding (R) and -nonresponding (NR) tumors. We provide the first preclinical evidence to our knowledge that SPT-R tumors exhibit a distinct AR cistrome when compared with SPT-NR tumors, indicating a differential biological role of the AR. We applied an integrated analysis of ChIP-Seq and RNA-Seq to the pretreatment tumors and identified an SPT-R signature that distinguishes R and NR tumors. Because transcriptomes of SPT-treated clinical specimens are not available, we interrogated available castration-resistant PC (CRPC) transcriptomes and showed that the SPT-R signature is associated with improved survival and has the potential to identify patients who would respond to SPT. These findings provide an opportunity to identify the subset of patients with CRPC who would benefit from SPT therapy.
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Affiliation(s)
- Xintao Qiu
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Lisha G. Brown
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Jennifer L. Conner
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Holly M. Nguyen
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Nadia Boufaied
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
| | - Sarah Abou Alaiwi
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Ji-Heui Seo
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Talal El Zarif
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Connor Bell
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Edward O’Connor
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Brian Hanratty
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mark Pomerantz
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Matthew L. Freedman
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Myles Brown
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael C. Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Peter S. Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Felix Y. Feng
- University of California at San Francisco, San Francisco, California, USA
| | - David P. Labbé
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
- Department of Surgery, Division of Urology, McGill University, Montréal, Québec, Canada
| | - Henry W. Long
- Center for Functional Cancer Epigenetics, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, Washington, USA
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17
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Qiu X, Boufaied N, Hallal T, Feit A, de Polo A, Luoma AM, Alahmadi W, Larocque J, Zadra G, Xie Y, Gu S, Tang Q, Zhang Y, Syamala S, Seo JH, Bell C, O'Connor E, Liu Y, Schaeffer EM, Jeffrey Karnes R, Weinmann S, Davicioni E, Morrissey C, Cejas P, Ellis L, Loda M, Wucherpfennig KW, Pomerantz MM, Spratt DE, Corey E, Freedman ML, Shirley Liu X, Brown M, Long HW, Labbé DP. MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets. Nat Commun 2022; 13:2559. [PMID: 35562350 PMCID: PMC9106722 DOI: 10.1038/s41467-022-30257-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 04/22/2022] [Indexed: 12/30/2022] Open
Abstract
c-MYC (MYC) is a major driver of prostate cancer tumorigenesis and progression. Although MYC is overexpressed in both early and metastatic disease and associated with poor survival, its impact on prostate transcriptional reprogramming remains elusive. We demonstrate that MYC overexpression significantly diminishes the androgen receptor (AR) transcriptional program (the set of genes directly targeted by the AR protein) in luminal prostate cells without altering AR expression. Analyses of clinical specimens reveal that concurrent low AR and high MYC transcriptional programs accelerate prostate cancer progression toward a metastatic, castration-resistant disease. Data integration of single-cell transcriptomics together with ChIP-seq uncover an increase in RNA polymerase II (Pol II) promoter-proximal pausing at AR-dependent genes following MYC overexpression without an accompanying deactivation of AR-bound enhancers. Altogether, our findings suggest that MYC overexpression antagonizes the canonical AR transcriptional program and contributes to prostate tumor initiation and progression by disrupting transcriptional pause release at AR-regulated genes.
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Affiliation(s)
- Xintao Qiu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Nadia Boufaied
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
| | - Tarek Hallal
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Department of Anatomy and Cell Biology, McGill University, Montréal, QC, Canada
| | - Avery Feit
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Anna de Polo
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Division of Urology, Department of Surgery, McGill University, Montréal, QC, Canada
| | - Adrienne M Luoma
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Walaa Alahmadi
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, QC, Canada
| | - Janie Larocque
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, QC, Canada
| | - Giorgia Zadra
- Departments of Oncologic Pathology and Pathology, Dana-Farber Cancer Institute and Brigham's Women Hospital, Boston, MA, USA
- Institute of Molecular Genetics, National Research Council, Pavia, Italy
| | - Yingtian Xie
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Shengqing Gu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qin Tang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yi Zhang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sudeepa Syamala
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Connor Bell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Edward O'Connor
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Yang Liu
- Decipher Biosciences, San Diego, CA, USA
| | | | | | - Sheila Weinmann
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Leigh Ellis
- Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Cedars-Sinai Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weil Cornell Medicine, New York Presbyterian-Weill Cornell Campus, New York, NY, USA
| | - Kai W Wucherpfennig
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Mark M Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Daniel E Spratt
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Matthew L Freedman
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, USA
| | - X Shirley Liu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Myles Brown
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Henry W Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
| | - David P Labbé
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada.
- Department of Anatomy and Cell Biology, McGill University, Montréal, QC, Canada.
- Division of Urology, Department of Surgery, McGill University, Montréal, QC, Canada.
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, QC, Canada.
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18
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Li Y, Qiu X, Wang X, Liu H, Geck RC, Tewari AK, Xiao T, Font-Tello A, Lim K, Jones KL, Morrow M, Vadhi R, Kao PL, Jaber A, Yerrum S, Xie Y, Chow KH, Cejas P, Nguyen QD, Long HW, Liu XS, Toker A, Brown M. FGFR-inhibitor-mediated dismissal of SWI/SNF complexes from YAP-dependent enhancers induces adaptive therapeutic resistance. Nat Cell Biol 2021; 23:1187-1198. [PMID: 34737445 DOI: 10.1038/s41556-021-00781-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 09/26/2021] [Indexed: 12/20/2022]
Abstract
How cancer cells adapt to evade the therapeutic effects of drugs targeting oncogenic drivers is poorly understood. Here we report an epigenetic mechanism leading to the adaptive resistance of triple-negative breast cancer (TNBC) to fibroblast growth factor receptor (FGFR) inhibitors. Prolonged FGFR inhibition suppresses the function of BRG1-dependent chromatin remodelling, leading to an epigenetic state that derepresses YAP-associated enhancers. These chromatin changes induce the expression of several amino acid transporters, resulting in increased intracellular levels of specific amino acids that reactivate mTORC1. Consistent with this mechanism, addition of mTORC1 or YAP inhibitors to FGFR blockade synergistically attenuated the growth of TNBC patient-derived xenograft models. Collectively, these findings reveal a feedback loop involving an epigenetic state transition and metabolic reprogramming that leads to adaptive therapeutic resistance and provides potential therapeutic strategies to overcome this mechanism of resistance.
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Affiliation(s)
- Yihao Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xintao Qiu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xiaoqing Wang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Hui Liu
- Department of Pathology, and Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Renee C Geck
- Department of Pathology, and Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tengfei Xiao
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alba Font-Tello
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Klothilda Lim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kristen L Jones
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Boston, MA, USA
| | - Murry Morrow
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Boston, MA, USA
| | - Raga Vadhi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Pei-Lun Kao
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Aliya Jaber
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Smitha Yerrum
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yingtian Xie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kin-Hoe Chow
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Paloma Cejas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Quang-Dé Nguyen
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Boston, MA, USA
| | - Henry W Long
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - X Shirley Liu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alex Toker
- Department of Pathology, and Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA. .,Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
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19
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Cejas P, Xie Y, Font-Tello A, Lim K, Syamala S, Qiu X, Tewari AK, Shah N, Nguyen HM, Patel RA, Brown L, Coleman I, Hackeng WM, Brosens L, Dreijerink KMA, Ellis L, Alaiwi SA, Seo JH, Baca S, Beltran H, Khani F, Pomerantz M, Dall'Agnese A, Crowdis J, Van Allen EM, Bellmunt J, Morrisey C, Nelson PS, DeCaprio J, Farago A, Dyson N, Drapkin B, Liu XS, Freedman M, Haffner MC, Corey E, Brown M, Long HW. Subtype heterogeneity and epigenetic convergence in neuroendocrine prostate cancer. Nat Commun 2021; 12:5775. [PMID: 34599169 PMCID: PMC8486778 DOI: 10.1038/s41467-021-26042-z] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 09/07/2021] [Indexed: 12/30/2022] Open
Abstract
Neuroendocrine carcinomas (NEC) are tumors expressing markers of neuronal differentiation that can arise at different anatomic sites but have strong histological and clinical similarities. Here we report the chromatin landscapes of a range of human NECs and show convergence to the activation of a common epigenetic program. With a particular focus on treatment emergent neuroendocrine prostate cancer (NEPC), we analyze cell lines, patient-derived xenograft (PDX) models and human clinical samples to show the existence of two distinct NEPC subtypes based on the expression of the neuronal transcription factors ASCL1 and NEUROD1. While in cell lines and PDX models these subtypes are mutually exclusive, single-cell analysis of human clinical samples exhibits a more complex tumor structure with subtypes coexisting as separate sub-populations within the same tumor. These tumor sub-populations differ genetically and epigenetically contributing to intra- and inter-tumoral heterogeneity in human metastases. Overall, our results provide a deeper understanding of the shared clinicopathological characteristics shown by NECs. Furthermore, the intratumoral heterogeneity of human NEPCs suggests the requirement of simultaneous targeting of coexisting tumor populations as a therapeutic strategy. Neuroendocrine carcinomas (NECs) arise from different anatomic sites, but have similar histological and clinical features. Here, the authors show that the epigenetic landscape of a range of NECs converges towards a common epigenetic state, while distinct subtypes occur within neuroendocrine prostate cancer contributing to intratumor heterogeneity in clinical samples.
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Affiliation(s)
- Paloma Cejas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA. .,Translational Oncology Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ) and CIBERONC, La Paz University Hospital, Madrid, Spain.
| | - Yingtian Xie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alba Font-Tello
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Klothilda Lim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sudeepa Syamala
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xintao Qiu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Neel Shah
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Holly M Nguyen
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Radhika A Patel
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lisha Brown
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Ilsa Coleman
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wenzel M Hackeng
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lodewijk Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Leigh Ellis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Sarah Abou Alaiwi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Sylvan Baca
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Himisha Beltran
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Francesca Khani
- Weill Cornell Medical Center, Department of Pathology and Laboratory Medicine, New York Presbyterian Hospital, New York, NY, USA
| | - Mark Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | | | - Jett Crowdis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joaquim Bellmunt
- Beth Israel Deaconess Medical Center and PSMAR-IMIM Lab. Harvard Medical School, Boston, Massachusetts, USA
| | - Colm Morrisey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Peter S Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - James DeCaprio
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Anna Farago
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Nicholas Dyson
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Benjamin Drapkin
- Nancy B. and Jake L. Hamon Center for Therapeutic Oncology Research, Dallas, TX, USA.,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - X Shirley Liu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthew Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael C Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Pathology, University of Washington, Seattle, WA, USA
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Henry W Long
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
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20
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Cui Y, Li JS, Li W. From Reads to Insights: Integrative Pipelines for Biological Interpretation of ATAC-seq Data. GENOMICS, PROTEOMICS & BIOINFORMATICS 2021; 19:519-521. [PMID: 34273562 PMCID: PMC9039543 DOI: 10.1016/j.gpb.2021.06.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 06/30/2021] [Accepted: 07/07/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Ya Cui
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA.
| | - Jason Sheng Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA
| | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA
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