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Flores-Toro JA, Jagu S, Armstrong GT, Arons DF, Aune GJ, Chanock SJ, Hawkins DS, Heath A, Helman LJ, Janeway KA, Levine JE, Miller E, Penberthy L, Roberts CWM, Shalley ER, Shern JF, Smith MA, Staudt LM, Volchenboum SL, Zhang J, Zenklusen JC, Lowy DR, Sharpless NE, Guidry Auvil JM, Kerlavage AR, Widemann BC, Reaman GH, Kibbe WA, Doroshow JH. The Childhood Cancer Data Initiative: Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer. J Clin Oncol 2023; 41:4045-4053. [PMID: 37267580 PMCID: PMC10461939 DOI: 10.1200/jco.22.02208] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/31/2023] [Accepted: 03/28/2023] [Indexed: 06/04/2023] Open
Abstract
Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer.
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Affiliation(s)
| | | | | | | | | | | | | | - Allison Heath
- Children's Hospital of Philadelphia, Philadelphia, PA
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2
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Tonsing-Carter E, Agarwal R, Kyi CW, Perez-Mayoral J, Soria CT, Zenklusen JC. Abstract 4681: Human Cancer Models Initiative (HCMI): A community resource of next-generation cancer models and associated data. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-4681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
The Human Cancer Models Initiative (HCMI) is an international consortium founded by National Cancer Institute (NCI), Cancer Research UK, Wellcome Sanger Institute, and the foundation Hubrecht Organoid Technology. The initiative has generated patient derived Next-generation Cancer Models (NGCMs) from diverse tumor types and subtypes including rare adult and pediatric cancers as a community resource. HCMI addresses deficiencies in traditional cell lines models by collecting patients’ clinical data, as well as the genomes and transcriptomes of the parent tumor, case-matched normal tissue, and the derived next-generation cancer model. NCI’s Center for Cancer Genomics (CCG) sponsors four Cancer Model Development Centers (CMDCs) who are managed by Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc. CCG also supports the downstream model development pipeline. The CMDCs are tasked with generating HCMI NGCMs. The model-associated clinical data are submitted to the Clinical Data Center. The models, their associated tumor, and normal samples are processed at the Biospecimen Processing Center (BPC). The nucleic acids isolated at BPC are sent to the Genomic Characterization Centers for molecular characterization. All biospecimen, clinical, and molecular characterization data are quality controlled and submitted to NCI’s Genomic Data Commons (GDC) for the research community. The HCMI models and culture protocols are made available to the research community through a single third-party distributor. The HCMI Searchable Catalog (https://hcmi-searchable-catalog.nci.nih.gov/) is an online resource that allows users to query and identify available models using various data elements including clinical and molecular characterization data, including WGS, WXS, RNA-seq, and methylation array. To date, over 250 HCMI models are available to query on the Searchable Catalog and are available to the research community through the NCI designated model distributor, ATCC. These models have been derived from several cancer types including glioblastoma, colorectal, pediatric, gastroesophageal, pancreatic, and more. Biospecimen, clinical, and molecular characterization data are available for over 100 models at NCI’s GDC, with additional cases released as the data completes the HCMI pipeline. Data, tools, and resources generated by CCG initiatives are made publicly available via the CCG website and GDC. The CCG website also provides available data types, data usage policies and guides to access data (https://www.cancer.gov/about-nci/organization/ccg).
Citation Format: Eva Tonsing-Carter, Rachana Agarwal, Cindy W. Kyi, Julyann Perez-Mayoral, Conrado T. Soria, Jean Claude Zenklusen. Human Cancer Models Initiative (HCMI): A community resource of next-generation cancer models and associated data. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4681.
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Affiliation(s)
| | - Rachana Agarwal
- 2Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, MD
| | | | | | - Conrado T. Soria
- 2Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, MD
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3
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Rodriguez H, Zenklusen JC, Staudt LM, Doroshow JH, Lowy DR. The next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment. Cell 2021; 184:1661-1670. [PMID: 33798439 DOI: 10.1016/j.cell.2021.02.055] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/13/2021] [Accepted: 02/26/2021] [Indexed: 12/18/2022]
Abstract
When it comes to precision oncology, proteogenomics may provide better prospects to the clinical characterization of tumors, help make a more accurate diagnosis of cancer, and improve treatment for patients with cancer. This perspective describes the significant contributions of The Cancer Genome Atlas and the Clinical Proteomic Tumor Analysis Consortium to precision oncology and makes the case that proteogenomics needs to be fully integrated into clinical trials and patient care in order for precision oncology to deliver the right cancer treatment to the right patient at the right dose and at the right time.
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Affiliation(s)
- Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Jean Claude Zenklusen
- Center for Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Louis M Staudt
- Center for Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James H Doroshow
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Office of the Director, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Douglas R Lowy
- Office of the Director, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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4
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Cree IA, Indave Ruiz BI, Zavadil J, McKay J, Olivier M, Kozlakidis Z, Lazar AJ, Hyde C, Holdenrieder S, Hastings R, Rajpoot N, de la Fouchardiere A, Rous B, Zenklusen JC, Normanno N, Schilsky RL. The International Collaboration for Cancer Classification and Research. Int J Cancer 2021; 148:560-571. [PMID: 32818326 PMCID: PMC7756795 DOI: 10.1002/ijc.33260] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 12/21/2022]
Abstract
Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained within the World Health Organization (WHO) Classification of Tumours, published by the International Agency for Research on Cancer (IARC) and known worldwide as the WHO Blue Books. In addition to their relevance to individual patients, these volumes provide a valuable contribution to cancer research and surveillance, fulfilling an important role in scientific evidence synthesis and international standard setting. However, the multidimensional nature of cancer classification, the way in which the WHO Classification of Tumours is constructed, and the scientific information overload in the field pose important challenges for the translation of research findings to tumour classification and hence cancer diagnosis. To help address these challenges, we have established the International Collaboration for Cancer Classification and Research (IC3 R) to provide a forum for the coordination of efforts in evidence generation, standard setting and best practice recommendations in the field of tumour classification. The first IC3 R meeting, held in Lyon, France, in February 2019, gathered representatives of major institutions involved in tumour classification and related fields to identify and discuss translational challenges in data comparability, standard setting, quality management, evidence evaluation and copyright, as well as to develop a collaborative plan for addressing these challenges.
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Affiliation(s)
- Ian A. Cree
- International Agency for Research on Cancer (IARC), World Health Organization (WHO)LyonFrance
| | | | - Jiri Zavadil
- International Agency for Research on Cancer (IARC), World Health Organization (WHO)LyonFrance
| | - James McKay
- International Agency for Research on Cancer (IARC), World Health Organization (WHO)LyonFrance
| | - Magali Olivier
- International Agency for Research on Cancer (IARC), World Health Organization (WHO)LyonFrance
| | - Zisis Kozlakidis
- International Agency for Research on Cancer (IARC), World Health Organization (WHO)LyonFrance
| | - Alexander J. Lazar
- Departments of Pathology, Genomic Medicine, and Translational Molecular PathologyThe University of Texas, MD Anderson Cancer CenterHoustonTexasUSA
| | - Chris Hyde
- Exeter Test GroupCollege of Medicine and Health, University of ExeterExeterUK
| | | | - Ros Hastings
- GenQA (Genomics External Quality Assessment)Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation TrustOxfordUK
| | - Nasir Rajpoot
- Department of Computer ScienceUniversity of WarwickCoventryUK
- Alan Turing InstituteLondonUK
- Department of PathologyUniversity Hospitals Coventry & Warwickshire NHS TrustCoventryUK
| | | | - Brian Rous
- National Cancer Registration Service (Eastern Office), Public Health England, Victoria HouseCambridgeUK
| | - Jean Claude Zenklusen
- Center for Cancer GenomicsNational Cancer Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Nicola Normanno
- Cell Biology and Biotherapy UnitIstituto Nazionale Tumori—IRCCS—“Fondazione G. Pascale,” Via M. SemmolaNaplesItaly
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5
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Carrot-Zhang J, Yao X, Devarakonda S, Deshpande A, Damrauer JS, Silva TC, Wong CK, Choi HY, Felau I, Robertson AG, Castro MAA, Bao L, Rheinbay E, Liu EM, Trieu T, Haan D, Yau C, Hinoue T, Liu Y, Shapira O, Kumar K, Mungall KL, Zhang H, Lee JJK, Berger A, Gao GF, Zhitomirsky B, Liang WW, Zhou M, Moorthi S, Berger AH, Collisson EA, Zody MC, Ding L, Cherniack AD, Getz G, Elemento O, Benz CC, Stuart J, Zenklusen JC, Beroukhim R, Chang JC, Campbell JD, Hayes DN, Yang L, Laird PW, Weinstein JN, Kwiatkowski DJ, Tsao MS, Travis WD, Khurana E, Berman BP, Hoadley KA, Robine N, Meyerson M, Govindan R, Imielinski M. Whole-genome characterization of lung adenocarcinomas lacking the RTK/RAS/RAF pathway. Cell Rep 2021; 34:108707. [PMID: 33535033 PMCID: PMC8009291 DOI: 10.1016/j.celrep.2021.108707] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/08/2020] [Accepted: 01/08/2021] [Indexed: 12/13/2022] Open
Abstract
RTK/RAS/RAF pathway alterations (RPAs) are a hallmark of lung adenocarcinoma (LUAD). In this study, we use whole-genome sequencing (WGS) of 85 cases found to be RPA(-) by previous studies from The Cancer Genome Atlas (TCGA) to characterize the minority of LUADs lacking apparent alterations in this pathway. We show that WGS analysis uncovers RPA(+) in 28 (33%) of the 85 samples. Among the remaining 57 cases, we observe focal deletions targeting the promoter or transcription start site of STK11 (n = 7) or KEAP1 (n = 3), and promoter mutations associated with the increased expression of ILF2 (n = 6). We also identify complex structural variations associated with high-level copy number amplifications. Moreover, an enrichment of focal deletions is found in TP53 mutant cases. Our results indicate that RPA(-) cases demonstrate tumor suppressor deletions and genome instability, but lack unique or recurrent genetic lesions compensating for the lack of RPAs. Larger WGS studies of RPA(-) cases are required to understand this important LUAD subset.
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Affiliation(s)
- Jian Carrot-Zhang
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Xiaotong Yao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Siddhartha Devarakonda
- Section of Medical Oncology, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Aditya Deshpande
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Jeffrey S Damrauer
- Department of Genetics, Computational Medicine Program, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tiago Chedraoui Silva
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christopher K Wong
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Hyo Young Choi
- University of Tennessee Health Science Center, UTHSC Center for Cancer Research, TN, USA
| | - Ina Felau
- National Cancer Institute, Bethesda, MD, USA
| | - A Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Mauro A A Castro
- Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba, PR, Brazil
| | - Lisui Bao
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA
| | - Esther Rheinbay
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Eric Minwei Liu
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Tuan Trieu
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Haan
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Christina Yau
- University of California, San Francisco, San Francisco, CA, USA; Buck Institute for Research on Aging, Novato, CA, USA
| | | | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ofer Shapira
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kiran Kumar
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karen L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Hailei Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Ashton Berger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Galen F Gao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Binyamin Zhitomirsky
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Wen-Wei Liang
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, USA
| | - Meng Zhou
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Alice H Berger
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | | | - Li Ding
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, USA
| | - Andrew D Cherniack
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Olivier Elemento
- Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | - Josh Stuart
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Rameen Beroukhim
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jason C Chang
- Thoracic Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joshua D Campbell
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - D Neil Hayes
- University of Tennessee Health Science Center, UTHSC Center for Cancer Research, TN, USA
| | - Lixing Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA
| | | | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ming S Tsao
- Department of Pathology, University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - William D Travis
- Thoracic Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ekta Khurana
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin P Berman
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Hebrew University, Jerusalem, Israel
| | - Katherine A Hoadley
- Department of Genetics, Computational Medicine Program, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Matthew Meyerson
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Ramaswamy Govindan
- Section of Medical Oncology, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
| | - Marcin Imielinski
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
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6
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Wheeler DA, Takebe N, Hinoue T, Hoadley KA, Cardenas MF, Hamilton AM, Laird PW, Wang L, Johnson A, Dewal N, Miller V, Piñeyro D, Castro de Moura M, Esteller M, Shen H, Zenklusen JC, Tarnuzzer R, McShane LM, Tricoli JV, Williams PM, Lubensky I, O'Sullivan-Coyne G, Kohn EC, Little RF, White J, Malik S, Harris L, Weil C, Chen AP, Karlovich C, Rodgers B, Shankar L, Jacobs P, Nolan T, Hu J, Muzny DM, Doddapaneni H, Korchina V, Gastier-Foster J, Bowen J, Leraas K, Edmondson EF, Doroshow JH, Conley BA, Ivy SP, Staudt LM. Molecular Features of Cancers Exhibiting Exceptional Responses to Treatment. Cancer Cell 2021; 39:38-53.e7. [PMID: 33217343 PMCID: PMC8478080 DOI: 10.1016/j.ccell.2020.10.015] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/23/2020] [Accepted: 10/13/2020] [Indexed: 12/21/2022]
Abstract
A small fraction of cancer patients with advanced disease survive significantly longer than patients with clinically comparable tumors. Molecular mechanisms for exceptional responses to therapy have been identified by genomic analysis of tumor biopsies from individual patients. Here, we analyzed tumor biopsies from an unbiased cohort of 111 exceptional responder patients using multiple platforms to profile genetic and epigenetic aberrations as well as the tumor microenvironment. Integrative analysis uncovered plausible mechanisms for the therapeutic response in nearly a quarter of the patients. The mechanisms were assigned to four broad categories-DNA damage response, intracellular signaling, immune engagement, and genetic alterations characteristic of favorable prognosis-with many tumors falling into multiple categories. These analyses revealed synthetic lethal relationships that may be exploited therapeutically and rare genetic lesions that favor therapeutic success, while also providing a wealth of testable hypotheses regarding oncogenic mechanisms that may influence the response to cancer therapy.
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Affiliation(s)
- David A Wheeler
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Naoko Takebe
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Katherine A Hoadley
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Maria F Cardenas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alina M Hamilton
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Linghua Wang
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Ninad Dewal
- Foundation Medicine Inc, Cambridge, MA 02141, USA
| | | | - David Piñeyro
- Josep Carreras Leukaemia Research Institute, Badalona, 08916 Barcelona, Catalonia, Spain; Institucio Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Catalonia, Spain
| | - Manuel Castro de Moura
- Josep Carreras Leukaemia Research Institute, Badalona, 08916 Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute, Badalona, 08916 Barcelona, Catalonia, Spain; Centro de Investigacion Biomedica en Red Cancer (CIBERONC), 28029 Madrid, Spain; Institucio Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Catalonia, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Hui Shen
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | | | - Roy Tarnuzzer
- Center for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lisa M McShane
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - James V Tricoli
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Paul M Williams
- Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
| | - Irina Lubensky
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Elise C Kohn
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Richard F Little
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jeffrey White
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Shakun Malik
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lyndsay Harris
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Carol Weil
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alice P Chen
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chris Karlovich
- Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
| | - Brian Rodgers
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Paula Jacobs
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tracy Nolan
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Jianhong Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Viktoriya Korchina
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Jay Bowen
- Nationwide Children's Hospital, Columbus, OH 43205, USA
| | | | - Elijah F Edmondson
- Pathology and Histology Laboratory, Frederick National Laboratory for Cancer Research, National Cancer Institute, NIH, Frederick, MD 21701, USA
| | - James H Doroshow
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Barbara A Conley
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - S Percy Ivy
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
| | - Louis M Staudt
- Center for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
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7
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Conley BA, Staudt L, Takebe N, Wheeler DA, Wang L, Cardenas MF, Korchina V, Zenklusen JC, McShane LM, Tricoli JV, Williams PM, Lubensky I, O’Sullivan-Coyne G, Kohn E, Little RF, White J, Malik S, Harris LN, Mann B, Weil C, Tarnuzzer R, Karlovich C, Rodgers B, Shankar L, Jacobs PM, Nolan T, Berryman SM, Gastier-Foster J, Bowen J, Leraas K, Shen H, Laird PW, Esteller M, Miller V, Johnson A, Edmondson EF, Giordano TJ, Kim B, Ivy SP. The Exceptional Responders Initiative: Feasibility of a National Cancer Institute Pilot Study. J Natl Cancer Inst 2021; 113:27-37. [PMID: 32339229 PMCID: PMC7781457 DOI: 10.1093/jnci/djaa061] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 02/27/2020] [Accepted: 04/20/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Tumor molecular profiling from patients experiencing exceptional responses to systemic therapy may provide insights into cancer biology and improve treatment tailoring. This pilot study evaluates the feasibility of identifying exceptional responders retrospectively, obtaining pre-exceptional response treatment tumor tissues, and analyzing them with state-of-the-art molecular analysis tools to identify potential molecular explanations for responses. METHODS Exceptional response was defined as partial (PR) or complete (CR) response to a systemic treatment with population PR or CR rate less than 10% or an unusually long response (eg, duration >3 times published median). Cases proposed by patients' clinicians were reviewed by clinical and translational experts. Tumor and normal tissue (if possible) were profiled with whole exome sequencing and, if possible, targeted deep sequencing, RNA sequencing, methylation arrays, and immunohistochemistry. Potential germline mutations were tracked for relevance to disease. RESULTS Cases reflected a variety of tumors and standard and investigational treatments. Of 520 cases, 476 (91.5%) were accepted for further review, and 222 of 476 (46.6%) proposed cases met requirements as exceptional responders. Clinical data were obtained from 168 of 222 cases (75.7%). Tumor was provided from 130 of 168 cases (77.4%). Of 117 of the 130 (90.0%) cases with sufficient nucleic acids, 109 (93.2%) were successfully analyzed; 6 patients had potentially actionable germline mutations. CONCLUSION Exceptional responses occur with standard and investigational treatment. Retrospective identification of exceptional responders, accessioning, and sequencing of pretreatment archived tissue is feasible. Data from molecular analyses of tumors, particularly when combining results from patients who received similar treatments, may elucidate molecular bases for exceptional responses.
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Affiliation(s)
- Barbara A Conley
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Lou Staudt
- Center for Cancer Genomics, National Cancer Institute, Bethesda, MD, USA
| | - Naoko Takebe
- Developmental Therapeutics Clinic, National Cancer Institute, Bethesda, MD, USA
| | - David A Wheeler
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maria F Cardenas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Viktoriya Korchina
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Lisa M McShane
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - James V Tricoli
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Paul M Williams
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Irina Lubensky
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | | | - Elise Kohn
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Richard F Little
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Jeffrey White
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Shakun Malik
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Lyndsay N Harris
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Bhupinder Mann
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Carol Weil
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Roy Tarnuzzer
- Center for Cancer Genomics, National Cancer Institute, Bethesda, MD, USA
| | - Chris Karlovich
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Brian Rodgers
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Paula M Jacobs
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Tracy Nolan
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Sean M Berryman
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Julie Gastier-Foster
- Nationwide Children’s Hospital, Columbus, OH, USA; Van Andel Research Institute, Grand Rapids, MI, USA
| | - Jay Bowen
- Nationwide Children’s Hospital, Columbus, OH, USA; Van Andel Research Institute, Grand Rapids, MI, USA
| | - Kristen Leraas
- Nationwide Children’s Hospital, Columbus, OH, USA; Van Andel Research Institute, Grand Rapids, MI, USA
| | - Hui Shen
- Van Andel Research Institute, Grand Rapids, MI, USA
| | | | - Manel Esteller
- Josep Carreras Leukaemia Research Institute, Badalona, Barcelona, Catalonia, Spain
| | | | | | - Elijah F Edmondson
- Pathology and Histology Laboratory, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Benjamin Kim
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - S Percy Ivy
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
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8
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Srivastava S, Ghosh S, Kagan J, Mazurchuk R, Boja E, Chuaqui R, Chavarria-Johnson E, Davidsen T, Eary J, Haim T, Hanlon S, Hewitt S, Hughes S, Jacobs P, Li J, Lively T, Lockett S, Misteli T, Nelson S, Odeh H, Ossandon M, Rosenfield S, Samimi G, Shern J, Star R, Takebe N, Tavares N, Tricoli J, Trimble T, Umar A, Velazquez J, Wang C, Zenklusen JC, Oberdoerffer P, Lee J, Kenney N. The Making of a PreCancer Atlas: Promises, Challenges, and Opportunities. Trends Cancer 2019. [DOI: 10.1016/j.trecan.2019.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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9
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Hmeljak J, Sanchez-Vega F, Hoadley KA, Shih J, Stewart C, Heiman D, Tarpey P, Danilova L, Drill E, Gibb EA, Bowlby R, Kanchi R, Osmanbeyoglu HU, Sekido Y, Takeshita J, Newton Y, Graim K, Gupta M, Gay CM, Diao L, Gibbs DL, Thorsson V, Iype L, Kantheti H, Severson DT, Ravegnini G, Desmeules P, Jungbluth AA, Travis WD, Dacic S, Chirieac LR, Galateau-Sallé F, Fujimoto J, Husain AN, Silveira HC, Rusch VW, Rintoul RC, Pass H, Kindler H, Zauderer MG, Kwiatkowski DJ, Bueno R, Tsao AS, Creaney J, Lichtenberg T, Leraas K, Bowen J, Felau I, Zenklusen JC, Akbani R, Cherniack AD, Byers LA, Noble MS, Fletcher JA, Robertson AG, Shen R, Aburatani H, Robinson BW, Campbell P, Ladanyi M. Integrative Molecular Characterization of Malignant Pleural Mesothelioma. Cancer Discov 2018; 8:1548-1565. [PMID: 30322867 DOI: 10.1158/2159-8290.cd-18-0804] [Citation(s) in RCA: 368] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 09/06/2018] [Accepted: 10/10/2018] [Indexed: 01/26/2023]
Abstract
Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options. SIGNIFICANCE: Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM.See related commentary by Aggarwal and Albelda, p. 1508.This article is highlighted in the In This Issue feature, p. 1494.
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Affiliation(s)
- Julija Hmeljak
- Department of Pathology and Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Francisco Sanchez-Vega
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Katherine A Hoadley
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Juliann Shih
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Chip Stewart
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - David Heiman
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Patrick Tarpey
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Ludmila Danilova
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, Maryland
| | - Esther Drill
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ewan A Gibb
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Rupa Kanchi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hatice U Osmanbeyoglu
- Computational Systems Biology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yoshitaka Sekido
- Division of Cancer Biology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | | | - Yulia Newton
- Department of Biomolecular Engineering and Center for Biomolecular Science and Engineering, University of California, Santa Cruz, Santa Cruz, California
| | - Kiley Graim
- Department of Biomolecular Engineering and Center for Biomolecular Science and Engineering, University of California, Santa Cruz, Santa Cruz, California
| | - Manaswi Gupta
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Carl M Gay
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | | | - Lisa Iype
- Institute for Systems Biology, Seattle, Washington
| | | | - David T Severson
- Division of Thoracic Surgery, The Lung Center and International Mesothelioma Program, Brigham and Women's Hospital, Boston, Massachusetts
| | - Gloria Ravegnini
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Patrice Desmeules
- Department of Pathology, Quebec Heart and Lung Institute, Quebec, Canada
| | - Achim A Jungbluth
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Lucian R Chirieac
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Aliya N Husain
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Henrique C Silveira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Sao Paulo, Brazil
| | - Valerie W Rusch
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Harvey Pass
- Department of Cardiothoracic Surgery, NYU Langone Medical Center, New York, New York
| | - Hedy Kindler
- Department of Medicine, Section of Hematology/Oncology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois
| | - Marjorie G Zauderer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David J Kwiatkowski
- Division of Pulmonary Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Raphael Bueno
- Division of Thoracic Surgery, The Lung Center and International Mesothelioma Program, Brigham and Women's Hospital, Boston, Massachusetts
| | - Anne S Tsao
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jenette Creaney
- School of Medicine and Pharmacology, University of Western Australia, Nedlands, Australia
| | - Tara Lichtenberg
- The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Kristen Leraas
- The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Jay Bowen
- The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | | | - Ina Felau
- National Cancer Institute, Bethesda, Maryland
| | | | - Rehan Akbani
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Lauren A Byers
- Division of Thoracic Surgery, The Lung Center and International Mesothelioma Program, Brigham and Women's Hospital, Boston, Massachusetts
| | - Michael S Noble
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Jonathan A Fletcher
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - A Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Bruce W Robinson
- School of Medicine and Pharmacology, University of Western Australia, Nedlands, Australia
| | - Peter Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Marc Ladanyi
- Department of Pathology and Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
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10
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Ding L, Bailey MH, Porta-Pardo E, Thorsson V, Colaprico A, Bertrand D, Gibbs DL, Weerasinghe A, Huang KL, Tokheim C, Cortés-Ciriano I, Jayasinghe R, Chen F, Yu L, Sun S, Olsen C, Kim J, Taylor AM, Cherniack AD, Akbani R, Suphavilai C, Nagarajan N, Stuart JM, Mills GB, Wyczalkowski MA, Vincent BG, Hutter CM, Zenklusen JC, Hoadley KA, Wendl MC, Shmulevich L, Lazar AJ, Wheeler DA, Getz G. Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics. Cell 2018; 173:305-320.e10. [PMID: 29625049 PMCID: PMC5916814 DOI: 10.1016/j.cell.2018.03.033] [Citation(s) in RCA: 210] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 02/20/2018] [Accepted: 03/13/2018] [Indexed: 12/21/2022]
Abstract
The Cancer Genome Atlas (TCGA) has catalyzed systematic characterization of diverse genomic alterations underlying human cancers. At this historic junction marking the completion of genomic characterization of over 11,000 tumors from 33 cancer types, we present our current understanding of the molecular processes governing oncogenesis. We illustrate our insights into cancer through synthesis of the findings of the TCGA PanCancer Atlas project on three facets of oncogenesis: (1) somatic driver mutations, germline pathogenic variants, and their interactions in the tumor; (2) the influence of the tumor genome and epigenome on transcriptome and proteome; and (3) the relationship between tumor and the microenvironment, including implications for drugs targeting driver events and immunotherapies. These results will anchor future characterization of rare and common tumor types, primary and relapsed tumors, and cancers across ancestry groups and will guide the deployment of clinical genomic sequencing.
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Affiliation(s)
- Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
| | - Matthew H Bailey
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, 08034 Barcelona, Spain; Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | | | - Antonio Colaprico
- Machine Learning Group (MLG), Département d'Informatique, Université Libre de Bruxelles, 1050 Brussels, Belgium; Department of Human Genetics, University of Miami, Miami, FL 33136, USA
| | - Denis Bertrand
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 13862
| | - David L Gibbs
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Amila Weerasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Kuan-Lin Huang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Collin Tokheim
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Isidro Cortés-Ciriano
- Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA; Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Reyka Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Lihua Yu
- H3 Biomedicine Inc., Cambridge, MA 02139, USA
| | - Sam Sun
- Department of Radiation Oncology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Catharina Olsen
- Machine Learning Group (MLG), Département d'Informatique, Université Libre de Bruxelles, 1050 Brussels, Belgium
| | - Jaegil Kim
- Broad Institute, Cambridge, MA 02142, USA
| | - Alison M Taylor
- Broad Institute, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Andrew D Cherniack
- Broad Institute, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Rehan Akbani
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77498, USA
| | - Chayaporn Suphavilai
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 13862
| | - Niranjan Nagarajan
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 13862
| | - Joshua M Stuart
- Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Gordon B Mills
- Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77498, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA; Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Carolyn M Hutter
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | | | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Michael C Wendl
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomic Medicine, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77498, USA
| | - David A Wheeler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Gad Getz
- Harvard Medical School, Boston, MA 02115, USA; Broad Institute, Cambridge, MA 02142, USA; Massachusetts General Hospital, Boston, MA 02114, USA.
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12
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Radovich M, Pickering CR, Felau I, Ha G, Zhang H, Jo H, Hoadley KA, Anur P, Zhang J, McLellan M, Bowlby R, Matthew T, Danilova L, Hegde AM, Kim J, Leiserson MDM, Sethi G, Lu C, Ryan M, Su X, Cherniack AD, Robertson G, Akbani R, Spellman P, Weinstein JN, Hayes DN, Raphael B, Lichtenberg T, Leraas K, Zenklusen JC, Fujimoto J, Scapulatempo-Neto C, Moreira AL, Hwang D, Huang J, Marino M, Korst R, Giaccone G, Gokmen-Polar Y, Badve S, Rajan A, Ströbel P, Girard N, Tsao MS, Marx A, Tsao AS, Loehrer PJ. The Integrated Genomic Landscape of Thymic Epithelial Tumors. Cancer Cell 2018; 33:244-258.e10. [PMID: 29438696 PMCID: PMC5994906 DOI: 10.1016/j.ccell.2018.01.003] [Citation(s) in RCA: 222] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 10/15/2017] [Accepted: 01/09/2018] [Indexed: 12/31/2022]
Abstract
Thymic epithelial tumors (TETs) are one of the rarest adult malignancies. Among TETs, thymoma is the most predominant, characterized by a unique association with autoimmune diseases, followed by thymic carcinoma, which is less common but more clinically aggressive. Using multi-platform omics analyses on 117 TETs, we define four subtypes of these tumors defined by genomic hallmarks and an association with survival and World Health Organization histological subtype. We further demonstrate a marked prevalence of a thymoma-specific mutated oncogene, GTF2I, and explore its biological effects on multi-platform analysis. We further observe enrichment of mutations in HRAS, NRAS, and TP53. Last, we identify a molecular link between thymoma and the autoimmune disease myasthenia gravis, characterized by tumoral overexpression of muscle autoantigens, and increased aneuploidy.
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Affiliation(s)
- Milan Radovich
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA
| | | | - Ina Felau
- National Cancer Institute, Bethesda, MD 20892, USA
| | - Gavin Ha
- Broad Institute, Cambridge, MA 02142, USA
| | | | - Heejoon Jo
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Katherine A Hoadley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Pavana Anur
- Oregon Health & Science University, Portland, OR 97239, USA
| | - Jiexin Zhang
- MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mike McLellan
- McDonnell Genome Institute at Washington University, St. Louis, MO 63108, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Thomas Matthew
- University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | | | | | - Jaegil Kim
- Broad Institute, Cambridge, MA 02142, USA
| | - Mark D M Leiserson
- Department of Computer Science & Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
| | - Geetika Sethi
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Charles Lu
- McDonnell Genome Institute at Washington University, St. Louis, MO 63108, USA
| | - Michael Ryan
- MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiaoping Su
- MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Rehan Akbani
- MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Paul Spellman
- Oregon Health & Science University, Portland, OR 97239, USA
| | | | - D Neil Hayes
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ben Raphael
- Department of Computer Science & Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
| | | | | | | | | | | | | | | | - David Hwang
- University Health Network, Toronto, ON M5G 2C4, Canada
| | - James Huang
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Mirella Marino
- Department of Pathology, Regina Elena National Cancer Institute, Rome 00144, Italy
| | | | | | - Yesim Gokmen-Polar
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA
| | - Sunil Badve
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA
| | - Arun Rajan
- National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Nicolas Girard
- Institute of Oncology, Cardiobiotec, Hospices Civils de Lyon, Lyon 69002, France
| | - Ming S Tsao
- Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Alexander Marx
- University Medical Centre Mannheim, University of Heidelberg, Mannheim 68167, Germany
| | - Anne S Tsao
- MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Patrick J Loehrer
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN 46202, USA.
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Conley RB, Dickson D, Zenklusen JC, Al Naber J, Messner DA, Atasoy A, Chaihorsky L, Collyar D, Compton C, Ferguson M, Khozin S, Klein RD, Kotte S, Kurzrock R, Lin CJ, Liu F, Marino I, McDonough R, McNeal A, Miller V, Schilsky RL, Wang LI. Core Clinical Data Elements for Cancer Genomic Repositories: A Multi-stakeholder Consensus. Cell 2017; 171:982-986. [PMID: 29149611 DOI: 10.1016/j.cell.2017.10.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The Center for Medical Technology Policy and the Molecular Evidence Development Consortium gathered a diverse group of more than 50 stakeholders to develop consensus on a core set of data elements and values essential to understanding the clinical utility of molecularly targeted therapies in oncology.
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Affiliation(s)
- Robert B Conley
- Center for Medical Technology Policy, Baltimore, MD 21202, USA
| | - Dane Dickson
- Molecular Evidence Development Consortium, Rexburg, ID 83440, USA.
| | | | | | - Donna A Messner
- Center for Medical Technology Policy, Baltimore, MD 21202, USA
| | - Ajlan Atasoy
- European Organisation for Research and Treatment of Cancer, 1200 Brussels, Belgium
| | | | | | - Carolyn Compton
- Arizona State University, Mayo Clinic, Phoenix, AZ 85257, USA
| | | | - Sean Khozin
- Food and Drug Administration, Silver Spring, MD 20993, USA
| | | | | | - Razelle Kurzrock
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - Frank Liu
- Merck Sharp & Dohme, North Wales, PA 19454, USA
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Abstract
The Cancer Genome Atlas (TCGA) is one of the most ambitious and successful cancer genomics programs to date. The TCGA program has generated, analyzed, and made available genomic sequence, expression, methylation, and copy number variation data on over 11,000 individuals who represent over 30 different types of cancer. This chapter provides a brief overview of the TCGA program and detailed instructions and tips for investigators on how to find, access, and download this data.
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Affiliation(s)
- Zhining Wang
- Center for Cancer Genomics, National Cancer Institute, National Institutes of Health, 31 Center Drive, Bethesda, MD, USA.
| | - Mark A Jensen
- Research Administration Directorate, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, 8560 Progress Drive, Frederick, 21701, MD, USA
| | - Jean Claude Zenklusen
- Center for Cancer Genomics, National Cancer Institute, National Institutes of Health, 31 Center Drive, Bethesda, MD, USA
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15
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Vis DJ, Lewin J, Siu L, Liao R, Zenklusen JC, Calvo F, Szepessy E, Vivancos A, Wirta V, Madhavan S, Park K, Tan D, Laskin J, Brammer M, Dias-Neto E, Tolcher A, Hudson TJ, Sawyers C, Lawler M, Voest EE. Abstract 5287: Heterogeneity of mutation calling and annotation: a survey of cancer next-generation sequencing initiatives by the Global Alliance for Genomics and Health (GA4GH). Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-5287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Although genomic data sharing is widely endorsed, practical barriers exist. For example, annotation and calling of mutations vary significantly with the method used. This poses clear challenges in data harmonization and sharing. In this setting, GA4GH conducted a survey of Cancer Next Generation Sequencing (NGS) initiatives globally to chart the technical implementation of genomic programs.
A total of 59 of 108 invited initiatives responded (response rate = 55%) via a web-based survey. In total, 63% of programs share their data, and 10% are partially sharing or planning to share. Most initiatives were North American (33%) or European (28%) based. Of the 59 respondents, 51 responded to queries on technical aspects of their NGS program (Table 1). For diagnostic application, 67% employ a small panel (<50 genes), 55% a medium panel (50-250 genes), 45% a large panel (251-1000 genes); only 22% indicated they (also) use whole exome sequencing (WES). Diagnostic programs tend to favor panels and deep sequencing, while research programs favor WES/WGS. Overall, mutation and copy number calls were stored centrally in a single project database (96% and 92% respectively), with lower rates for raw data (BAM files, 86%) and histological data (75%). Somatic mutations were identified primarily via GATK (57%), Samtools (49%), Varscan (47%), MuTect (40%); all but 7 initiatives used combinations of these tools. Mutational variants were annotated by Cosmic (73%), PolyPhen (66%), and dbSnp (64%). Germline samples were used as control in only 62% of initiatives.
In conclusion, the majority of initiatives use an ensemble of tools for calling and annotating mutational variants. Harmonization efforts on gene panel composition and the standardization of tools (eg, methods, application program interfaces (APIs)) are urgently needed to prevent continued generation of isolated data silos that hamper NGS-enabled advances in precision medicine. Primary purpose of test% Diagnostic (n = 9)% Research (n = 22)% Diagnostic & Research (n = 20)OrganizationCentralized testing22%64%30%Unique sample identifiers89%77%70%Certification ISO/CLIA/NE88%45%65%Initiative > 1000 Patients33%36%35%SequencingSequencing depth 50-250x0%55%80%Sequencing depth >250x100%45%20%Panel sequencing89%68%60%Whole Exome/Genome Sequencing22%77%65%SamplesFresh frozen (FF)11%23%15%Formalin Fixed Paraffin Embedded (FFPE)44%27%20%FFPE or FF44%50%65%Germline as control22%68%65%
Citation Format: Daniel J. Vis, Jeremy Lewin, Lillian Siu, Rachel Liao, Jean Claude Zenklusen, Fabien Calvo, Edit Szepessy, Ana Vivancos, Valtteri Wirta, Subha Madhavan, Keunchil Park, Daniel Tan, Janessa Laskin, Melissa Brammer, Emmanuel Dias-Neto, Anthony Tolcher, Thomas J. Hudson, Charles Sawyers, Mark Lawler, Emile E. Voest. Heterogeneity of mutation calling and annotation: a survey of cancer next-generation sequencing initiatives by the Global Alliance for Genomics and Health (GA4GH). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5287.
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Affiliation(s)
- Daniel J. Vis
- 1Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Jeremy Lewin
- 2Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Lillian Siu
- 2Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Rachel Liao
- 3Genomics and Health, Toronto, Ontario, Canada
| | - Jean Claude Zenklusen
- 4The Cancer Genome Atlas at Center for Cancer Genomics, National Cancer Institute, Washington, DC
| | - Fabien Calvo
- 5Cancer Core Europe, Gustave Roussy, Villejuif Cedex, France
| | | | - Ana Vivancos
- 7Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | | | | | | | - Daniel Tan
- 11National Cancer Centre Singapore, Signapore, Singapore
| | | | | | | | | | | | | | - Mark Lawler
- 18Centre for Cancer Research and Cell Biology, Queen's University, Belfast, United Kingdom
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Brat DJ, Verhaak RGW, Aldape KD, Yung WKA, Salama SR, Cooper LAD, Rheinbay E, Miller CR, Vitucci M, Morozova O, Robertson AG, Noushmehr H, Laird PW, Cherniack AD, Akbani R, Huse JT, Ciriello G, Poisson LM, Barnholtz-Sloan JS, Berger MS, Brennan C, Colen RR, Colman H, Flanders AE, Giannini C, Grifford M, Iavarone A, Jain R, Joseph I, Kim J, Kasaian K, Mikkelsen T, Murray BA, O'Neill BP, Pachter L, Parsons DW, Sougnez C, Sulman EP, Vandenberg SR, Van Meir EG, von Deimling A, Zhang H, Crain D, Lau K, Mallery D, Morris S, Paulauskis J, Penny R, Shelton T, Sherman M, Yena P, Black A, Bowen J, Dicostanzo K, Gastier-Foster J, Leraas KM, Lichtenberg TM, Pierson CR, Ramirez NC, Taylor C, Weaver S, Wise L, Zmuda E, Davidsen T, Demchok JA, Eley G, Ferguson ML, Hutter CM, Mills Shaw KR, Ozenberger BA, Sheth M, Sofia HJ, Tarnuzzer R, Wang Z, Yang L, Zenklusen JC, Ayala B, Baboud J, Chudamani S, Jensen MA, Liu J, Pihl T, Raman R, Wan Y, Wu Y, Ally A, Auman JT, Balasundaram M, Balu S, Baylin SB, Beroukhim R, Bootwalla MS, Bowlby R, Bristow CA, Brooks D, Butterfield Y, Carlsen R, Carter S, Chin L, Chu A, Chuah E, Cibulskis K, Clarke A, Coetzee SG, Dhalla N, Fennell T, Fisher S, Gabriel S, Getz G, Gibbs R, Guin R, Hadjipanayis A, Hayes DN, Hinoue T, Hoadley K, Holt RA, Hoyle AP, Jefferys SR, Jones S, Jones CD, Kucherlapati R, Lai PH, Lander E, Lee S, Lichtenstein L, Ma Y, Maglinte DT, Mahadeshwar HS, Marra MA, Mayo M, Meng S, Meyerson ML, Mieczkowski PA, Moore RA, Mose LE, Mungall AJ, Pantazi A, Parfenov M, Park PJ, Parker JS, Perou CM, Protopopov A, Ren X, Roach J, Sabedot TS, Schein J, Schumacher SE, Seidman JG, Seth S, Shen H, Simons JV, Sipahimalani P, Soloway MG, Song X, Sun H, Tabak B, Tam A, Tan D, Tang J, Thiessen N, Triche T, Van Den Berg DJ, Veluvolu U, Waring S, Weisenberger DJ, Wilkerson MD, Wong T, Wu J, Xi L, Xu AW, Yang L, Zack TI, Zhang J, Aksoy BA, Arachchi H, Benz C, Bernard B, Carlin D, Cho J, DiCara D, Frazer S, Fuller GN, Gao J, Gehlenborg N, Haussler D, Heiman DI, Iype L, Jacobsen A, Ju Z, Katzman S, Kim H, Knijnenburg T, Kreisberg RB, Lawrence MS, Lee W, Leinonen K, Lin P, Ling S, Liu W, Liu Y, Liu Y, Lu Y, Mills G, Ng S, Noble MS, Paull E, Rao A, Reynolds S, Saksena G, Sanborn Z, Sander C, Schultz N, Senbabaoglu Y, Shen R, Shmulevich I, Sinha R, Stuart J, Sumer SO, Sun Y, Tasman N, Taylor BS, Voet D, Weinhold N, Weinstein JN, Yang D, Yoshihara K, Zheng S, Zhang W, Zou L, Abel T, Sadeghi S, Cohen ML, Eschbacher J, Hattab EM, Raghunathan A, Schniederjan MJ, Aziz D, Barnett G, Barrett W, Bigner DD, Boice L, Brewer C, Calatozzolo C, Campos B, Carlotti CG, Chan TA, Cuppini L, Curley E, Cuzzubbo S, Devine K, DiMeco F, Duell R, Elder JB, Fehrenbach A, Finocchiaro G, Friedman W, Fulop J, Gardner J, Hermes B, Herold-Mende C, Jungk C, Kendler A, Lehman NL, Lipp E, Liu O, Mandt R, McGraw M, Mclendon R, McPherson C, Neder L, Nguyen P, Noss A, Nunziata R, Ostrom QT, Palmer C, Perin A, Pollo B, Potapov A, Potapova O, Rathmell WK, Rotin D, Scarpace L, Schilero C, Senecal K, Shimmel K, Shurkhay V, Sifri S, Singh R, Sloan AE, Smolenski K, Staugaitis SM, Steele R, Thorne L, Tirapelli DPC, Unterberg A, Vallurupalli M, Wang Y, Warnick R, Williams F, Wolinsky Y, Bell S, Rosenberg M, Stewart C, Huang F, Grimsby JL, Radenbaugh AJ, Zhang J. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. N Engl J Med 2015; 372:2481-98. [PMID: 26061751 PMCID: PMC4530011 DOI: 10.1056/nejmoa1402121] [Citation(s) in RCA: 2118] [Impact Index Per Article: 235.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Diffuse low-grade and intermediate-grade gliomas (which together make up the lower-grade gliomas, World Health Organization grades II and III) have highly variable clinical behavior that is not adequately predicted on the basis of histologic class. Some are indolent; others quickly progress to glioblastoma. The uncertainty is compounded by interobserver variability in histologic diagnosis. Mutations in IDH, TP53, and ATRX and codeletion of chromosome arms 1p and 19q (1p/19q codeletion) have been implicated as clinically relevant markers of lower-grade gliomas. METHODS We performed genomewide analyses of 293 lower-grade gliomas from adults, incorporating exome sequence, DNA copy number, DNA methylation, messenger RNA expression, microRNA expression, and targeted protein expression. These data were integrated and tested for correlation with clinical outcomes. RESULTS Unsupervised clustering of mutations and data from RNA, DNA-copy-number, and DNA-methylation platforms uncovered concordant classification of three robust, nonoverlapping, prognostically significant subtypes of lower-grade glioma that were captured more accurately by IDH, 1p/19q, and TP53 status than by histologic class. Patients who had lower-grade gliomas with an IDH mutation and 1p/19q codeletion had the most favorable clinical outcomes. Their gliomas harbored mutations in CIC, FUBP1, NOTCH1, and the TERT promoter. Nearly all lower-grade gliomas with IDH mutations and no 1p/19q codeletion had mutations in TP53 (94%) and ATRX inactivation (86%). The large majority of lower-grade gliomas without an IDH mutation had genomic aberrations and clinical behavior strikingly similar to those found in primary glioblastoma. CONCLUSIONS The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class. Lower-grade gliomas with an IDH mutation either had 1p/19q codeletion or carried a TP53 mutation. Most lower-grade gliomas without an IDH mutation were molecularly and clinically similar to glioblastoma. (Funded by the National Institutes of Health.).
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Wuchty S, Arjona D, Li A, Kotliarov Y, Walling J, Ahn S, Zhang A, Maric D, Anolik R, Zenklusen JC, Fine HA. Prediction of Associations between microRNAs and Gene Expression in Glioma Biology. PLoS One 2011; 6:e14681. [PMID: 21358821 PMCID: PMC3040173 DOI: 10.1371/journal.pone.0014681] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2010] [Accepted: 01/15/2011] [Indexed: 12/19/2022] Open
Abstract
Despite progress in the determination of miR interactions, their regulatory role in cancer is only beginning to be unraveled. Utilizing gene expression data from 27 glioblastoma samples we found that the mere knowledge of physical interactions between specific mRNAs and miRs can be used to determine associated regulatory interactions, allowing us to identify 626 associated interactions, involving 128 miRs that putatively modulate the expression of 246 mRNAs. Experimentally determining the expression of miRs, we found an over-representation of over(under)-expressed miRs with various predicted mRNA target sequences. Such significantly associated miRs that putatively bind over-expressed genes strongly tend to have binding sites nearby the 3′UTR of the corresponding mRNAs, suggesting that the presence of the miRs near the translation stop site may be a factor in their regulatory ability. Our analysis predicted a significant association between miR-128 and the protein kinase WEE1, which we subsequently validated experimentally by showing that the over-expression of the naturally under-expressed miR-128 in glioma cells resulted in the inhibition of WEE1 in glioblastoma cells.
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Affiliation(s)
- Stefan Wuchty
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dolores Arjona
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Aiguo Li
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Yuri Kotliarov
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Jennifer Walling
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Susie Ahn
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Alice Zhang
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dragan Maric
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Rachel Anolik
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Jean Claude Zenklusen
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Howard A. Fine
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
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18
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Schreiber SL, Shamji AF, Clemons PA, Hon C, Koehler AN, Munoz B, Palmer M, Stern AM, Wagner BK, Powers S, Lowe SW, Guo X, Krasnitz A, Sawey ET, Sordella R, Stein L, Trotman LC, Califano A, Dalla-Favera R, Ferrando A, Iavarone A, Pasqualucci L, Silva J, Stockwell BR, Hahn WC, Chin L, DePinho RA, Boehm JS, Gopal S, Huang A, Root DE, Weir BA, Gerhard DS, Zenklusen JC, Roth MG, White MA, Minna JD, MacMillan JB, Posner BA. Towards patient-based cancer therapeutics. Nat Biotechnol 2010; 28:904-6. [PMID: 20829823 PMCID: PMC2939009 DOI: 10.1038/nbt0910-904] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
A new approach to the discovery of cancer therapeutics is emerging that begins with the cancer patient. Genomic analysis of primary tumors is providing an unprecedented molecular characterization of the disease. The next step requires relating the genetic features of cancers to acquired gene and pathway dependencies and identifying small-molecule therapeutics that target them.
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Affiliation(s)
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- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
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19
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Charong N, Patmasiriwat P, Zenklusen JC. Abstract 2969: Localization and characterization of ST7 in cancer. Cancer Res 2010. [DOI: 10.1158/1538-7445.am10-2969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
ST7 has been proposed as a tumor suppressor gene at the chromosome region 7q31.1-q31.2. In order to gain some insight into its role in cancer, localization and verification of ST7 expression levels were performed. Various types of ST7 expression vectors tagged with sequences of GFP, YFP or V5 were created using gateway cloning system and full length ST7 cDNA isolated from a human adult brain cDNA library. Cytosolic ST7 expression in HCT-116, MCF-7 and PC-3 cell lines was detected via the fluorescence signal of the fusion proteins. ST7 translocation from cytoplasm to nucleus has not been observed in any of the conditions assayed. A cell cycle synchronization study demonstrated that both ST7 and SERPINE1 were over expressed when cells were arrested. Expression of these genes was found to be substantially diminished when the cells re-entered cell division status. In addition, we also found that Survivin, MMP13, and CyclinD1 were differentially expressed during cell cycle. Our findings suggest that ST7 mediates tumor suppression through regulation of the genes involved in maintaining cellular structure of the cell and involved in oncogenic pathways.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2969.
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Affiliation(s)
| | | | - Jean Claude Zenklusen
- 2Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
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Kotliarova S, Pastorino S, Kovell LC, Kotliarov Y, Song H, Zhang W, Bailey R, Maric D, Zenklusen JC, Lee J, Fine HA. Glycogen synthase kinase-3 inhibition induces glioma cell death through c-MYC, nuclear factor-kappaB, and glucose regulation. Cancer Res 2008; 68:6643-51. [PMID: 18701488 DOI: 10.1158/0008-5472.can-08-0850] [Citation(s) in RCA: 212] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Glycogen synthase kinase 3 (GSK3), a serine/threonine kinase, is involved in diverse cellular processes ranging from nutrient and energy homeostasis to proliferation and apoptosis. Its role in glioblastoma multiforme has yet to be elucidated. We identified GSK3 as a regulator of glioblastoma multiforme cell survival using microarray analysis and small-molecule and genetic inhibitors of GSK3 activity. Various molecular and genetic approaches were then used to dissect out the molecular mechanisms responsible for GSK3 inhibition-induced cytotoxicity. We show that multiple small molecular inhibitors of GSK3 activity and genetic down-regulation of GSK3alpha/beta significantly inhibit glioma cell survival and clonogenicity. The potency of the cytotoxic effects is directly correlated with decreased enzyme activity-activating phosphorylation of GSK3alpha/beta Y276/Y216 and with increased enzyme activity inhibitory phosphorylation of GSK3alpha S21. Inhibition of GSK3 activity results in c-MYC activation, leading to the induction of Bax, Bim, DR4/DR5, and tumor necrosis factor-related apoptosis-inducing ligand expression and subsequent cytotoxicity. Additionally, down-regulation of GSK3 activity results in alteration of intracellular glucose metabolism resulting in dissociation of hexokinase II from the outer mitochondrial membrane with subsequent mitochondrial destabilization. Finally, inhibition of GSK3 activity causes a dramatic decrease in intracellular nuclear factor-kappaB activity. Inhibition of GSK3 activity results in c-MYC-dependent glioma cell death through multiple mechanisms, all of which converge on the apoptotic pathways. GSK3 may therefore be an important therapeutic target for gliomas. Future studies will further define the optimal combinations of GSK3 inhibitors and cytotoxic agents for use in gliomas and other cancers.
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Affiliation(s)
- Svetlana Kotliarova
- Neuro-Oncology Branch, National Cancer Institute, NIH, Bethesda, Maryland 20892, USA
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21
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Li A, Walling J, Kotliarov Y, Center A, Steed ME, Ahn SJ, Rosenblum M, Mikkelsen T, Zenklusen JC, Fine HA. Genomic Changes and Gene Expression Profiles Reveal That Established Glioma Cell Lines Are Poorly Representative of Primary Human Gliomas. Mol Cancer Res 2008; 6:21-30. [DOI: 10.1158/1541-7786.mcr-07-0280] [Citation(s) in RCA: 186] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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22
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Lee J, Son MJ, Woolard K, Donin NM, Li A, Cheng CH, Kotliarova S, Kotliarov Y, Walling J, Ahn S, Kim M, Totonchy M, Cusack T, Ene C, Ma H, Su Q, Zenklusen JC, Zhang W, Maric D, Fine HA. Epigenetic-mediated dysfunction of the bone morphogenetic protein pathway inhibits differentiation of glioblastoma-initiating cells. Cancer Cell 2008; 13:69-80. [PMID: 18167341 PMCID: PMC2835498 DOI: 10.1016/j.ccr.2007.12.005] [Citation(s) in RCA: 339] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2007] [Revised: 10/11/2007] [Accepted: 12/06/2007] [Indexed: 12/25/2022]
Abstract
Despite similarities between tumor-initiating cells with stem-like properties (TICs) and normal neural stem cells, we hypothesized that there may be differences in their differentiation potentials. We now demonstrate that both bone morphogenetic protein (BMP)-mediated and ciliary neurotrophic factor (CNTF)-mediated Jak/STAT-dependent astroglial differentiation is impaired due to EZH2-dependent epigenetic silencing of BMP receptor 1B (BMPR1B) in a subset of glioblastoma TICs. Forced expression of BMPR1B either by transgene expression or demethylation of the promoter restores their differentiation capabilities and induces loss of their tumorigenicity. We propose that deregulation of the BMP developmental pathway in a subset of glioblastoma TICs contributes to their tumorigenicity both by desensitizing TICs to normal differentiation cues and by converting otherwise cytostatic signals to proproliferative signals.
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Affiliation(s)
- Jeongwu Lee
- Neuro-Oncology Branch, National Cancer Institute, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
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Zenklusen JC, Conti CJ, Green ED. Mutational and functional analyses reveal that ST7 is a highly conserved tumor-suppressor gene on human chromosome 7q31. Nat Genet 2001; 27:392-8. [PMID: 11279520 DOI: 10.1038/86891] [Citation(s) in RCA: 64] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Loss of heterozygosity (LOH) of markers on human chromosome 7q31 is frequently encountered in a variety of human neoplasias, indicating the presence of a tumor-suppressor gene (TSG). By a combination of microcell-fusion and deletion-mapping studies, we previously established that this TSG resides within a critical region flanked by the genetic markers D7S522 and D7S677. Using a positional cloning strategy and aided by the availability of near-complete sequence of this genomic interval, we have identified a TSG within 7q31, named ST7 (for suppression of tumorigenicity 7; this same gene was recently reported in another context and called RAY1). ST7 is ubiquitously expressed in human tissues. Analysis of a series of cell lines derived from breast tumors and primary colon carcinomas revealed the presence of mutations in ST7. Introduction of the ST7 cDNA into the prostate-cancer-derived cell line PC3 had no effect on the in vitro proliferation of the cells, but abrogated their in vivo tumorigenicity. Our data indicate that ST7 is a TSG within chromosome 7q31 and may have an important role in the development of some types of human cancer.
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Affiliation(s)
- J C Zenklusen
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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Zenklusen JC, Hodges LC, LaCava M, Green ED, Conti CJ. Definitive functional evidence for a tumor suppressor gene on human chromosome 7q31.1 neighboring the Fra7G site. Oncogene 2000; 19:1729-33. [PMID: 10763831 DOI: 10.1038/sj.onc.1203488] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We have previously shown that loss of heterozygosity (LOH) on human chromosome (hchr) 7 at q31.1 is common in a variety of tumors of epithelial origin. Frequent LOH of a specific chromosomal marker is indicative of a closely linked tumor suppressor gene (TSG). However, recent reports have also indicated that such a high frequency of LOH could be due to the presence in this region of the second most common aphidicolin-inducible fragile site in the human genome (Fra7G). To address this controversy, we introduced single copies of hchr7 or hchr12 into a highly aggressive human prostate carcinoma cell line (PC3) by microcell-mediated transfer. The tumorigenicity of six clones of PC3/hchr7 hybrids and three clones of PCRhchr12 hybrids, obtained in four separate fusion experiments, were studied in BALB/c nude mice. All but one of the PC3/hchr7 hybrids increased tumor latency by at least twofold, whereas none of the PC3/hchr12 hybrids delayed tumor onset. No differences in the in vitro growth rate were observed among any of the cell lines assayed (parental and hybrids) suggesting that the observed tumor suppression was due to factors other than cell cycle regulation. Deletion mapping of the PC3/hchr7 tumors obtained after reversion to the malignant phenotype revealed a common region of loss centred around 7q31.1, supporting the TSG hypothesis. The smallest commonly deleted region was approximately 1.5 Mb in size and flanked by the markers D7S486 and D7S655.
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Affiliation(s)
- J C Zenklusen
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
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Zenklusen JC, Weintraub LA, Green ED. Construction of a high-resolution physical map of the approximate 1-Mb region of human chromosome 7q31.1-q31.2 harboring a putative tumor suppressor gene. Neoplasia 1999; 1:16-22. [PMID: 10935466 PMCID: PMC1764836 DOI: 10.1038/sj.neo.7900011] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Reports of frequent loss of heterozygosity (LOH) of markers on human chromosome 7q in malignant myeloid disorders as well as breast, prostate, ovarian, colon, head and neck, gastric, pancreatic, and renal cell carcinomas suggest the presence of a tumor suppressor gene (TSG). Functional assays have demonstrated that the introduction of an intact copy of human chromosome 7 (hchr7) can restore senescence to immortalized human fibroblast cell lines having LOH of markers within 7q31-q32 and can inhibit the tumorigenic phenotype of a murine squamous cell carcinoma cell line. To facilitate the cloning of the putative TSG, we have constructed a high-resolution physical map of this region of hchr7, specifically that encompassing the markers D7S522 and D7S677 within 7q31.1-q31.2. By using a lower resolution yeast artificial chromosome-based map as a starting framework, we established complete clone coverage of the implicated critical region in bacterial-artificial chromosomes (BACs) and P1-derived artificial chromosomes (PACs). The resulting BAC/PAC-based contig map has provided suitable clones for the systematic sequencing of the entire interval. In addition, we have already identified 29 clusters of overlapping expressed-sequence tags (ESTs) and 4 known genes contained within these clones. Together, the physical map reported here coupled with the evolving sequence and gene maps should hasten the identification of the putative TSG residing within this region of hchr7.
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Affiliation(s)
- J C Zenklusen
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892-4431, USA
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Bolontrade MF, Stern MC, Binder RL, Zenklusen JC, Gimenez-Conti IB, Conti CJ. Angiogenesis is an early event in the development of chemically induced skin tumors. Carcinogenesis 1998; 19:2107-13. [PMID: 9886564 DOI: 10.1093/carcin/19.12.2107] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In this study we have analyzed the vascular response induced in the two-stage carcinogenesis model in SENCAR mice. The role of angiogenesis has not been explored in this model, which is the paradigm of multistage carcinogenesis and a model for neoplastic lesions derived from exophytic premalignant lesions (e.g. colon carcinoma, bladder papilloma). We investigated if angiogenesis is involved in the formation of papillomas and in the progression from papilloma to carcinoma. To this end we analyzed the vasculature of normal and hyperplastic skin, focal epidermal hyperplasias that are precursors of papillomas, papillomas at different stages and squamous cell carcinomas. We also analyzed the vascularization of papillomas induced in two strains of mice that differ in their susceptibility to malignant progression. We show here that angiogenesis is turned on in the earliest stages of papilloma formation. In late stages, regardless of state of progression, the predominant response is an increase in the size of blood vessels. Thus, in the SENCAR mouse model, representative of exophytic tumors, the angiogenesis switch is a very early event, probably mechanistically related to the development of the primarily exophytic lesions. Therefore, the density of blood vessels cannot be used as a predictor of malignant progression in this model.
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Affiliation(s)
- M F Bolontrade
- Department of Carcinogenesis, University of Texas M.D. Anderson Cancer Center, Smithville 78957, USA
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Zenklusen JC, Hodges LC, Conti CJ. Loss of heterozygosity on murine chromosome 6 in two-stage carcinogenesis: evidence for a conserved tumor suppressor gene. Oncogene 1997; 14:109-14. [PMID: 9010237 DOI: 10.1038/sj.onc.1200806] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
We have recently demonstrated that loss of heterozygosity (LOH) at 7q31 is frequent in many kinds of human primary tumors and that introducing a single human chromosome (hchr) 7 into a murine squamous cell carcinoma (SCC)-derived cell line suppresses the malignant phenotype. To investigate whether the putative tumor suppressor gene on hchr 7 is conserved in mice, we studied LOH on mouse chromosome (mchr) 6 in chemically induced SCCs in (C57BL x DBA2) F1 (B6D2F1) females. LOH analysis was performed by polymerase chain reaction amplification of 17 (CA)n microsatellite repeats in mchr 6 A1-C3. As expected, all the B6D2F1-derived tumors were informative for all the locus assayed. The highest percentage of LOH in the hchr 7q-homologous segment was found at D6Mit50 (60.0%) and the other markers in this segment had LOH incidences normally distributed around the peak. The high incidence of LOH in the tumors studied suggests that a tumor suppressor gene relevant to the development of epithelial cancers is present on mchr 6 A2. As this segment is homologous with hchr 7q31, these data suggest that the putative tumor suppressor gene is conserved in the two species and explains the suppression of tumorigenicity when a single hchr 7 is introduced to a murine SCC cell line.
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Affiliation(s)
- J C Zenklusen
- Department of Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville 78957, USA
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Zenklusen JC, Rodriguez LV, LaCava M, Wang Z, Goldstein LS, Conti CJ. Novel susceptibility locus for mouse hepatomas: evidence for a conserved tumor suppressor gene. Genome Res 1996; 6:1070-6. [PMID: 8938430 DOI: 10.1101/gr.6.11.1070] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
We have identified previously a putative tumor suppressor gene (TSG) locus at human chromosome (hchr) 7q31 showing that it is altered in a variety of human epithelial tumors. To determine whether this TSG is conserved in mice, we studied loss of heterozygosity (LOH) in chemically induced mouse liver adenomas. The LOH analysis was performed by polymerase chain reaction amplification of 17 (CA)n microsatellite repeats on mouse chromosome (mchr) 6 A2-C3. Ninety-six of 106 cases (90.6%) had LOH at D6Mit50, and 89.5% had LOH at D6Mit179. These two loci are 0.2 cM apart on mchr 6A2. Another high-LOH site was found in the C3 band. The high incidence of LOH in the 7q-homologous segment of mchr 6 indicates that the human TSG is conserved and is involved in the development of hepatomas.
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Affiliation(s)
- J C Zenklusen
- Department of Carcinogenesis, University of Texas M.D. Anderson Cancer Center, Smithville 78957, USA
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Affiliation(s)
- J C Zenklusen
- Department of Carcinogenesis, University of Texas M.D. Anderson Cancer Center, Smithville 78957, USA
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Zenklusen JC, Weitzel JN, Ball HG, Conti CJ. Allelic loss at 7q31.1 in human primary ovarian carcinomas suggests the existence of a tumor suppressor gene. Oncogene 1995; 11:359-63. [PMID: 7624150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
We studied loss of heterozygosity (LOH) in chromosome 7q in order to determine the location of a putative tumor suppressor gene (TSG) in human epithelial ovarian carcinomas. Samples were obtained from 26 primary ovarian carcinomas at the time of staging laparotomy. Paired normal and tumoral DNAs were used as templates for polymerase chain reaction amplification of a set of 14 (C-A)n microsatellite repeats on 7q21-qter. All the cases studied presented LOH at one or more loci on 7q. Seventy-three percent LOH (in 14 of 19 informative cases) were detected in D7S522 at 7q31.1. The percentages of LOH were normally distributed around microsatellite D7S522 determining a smallest common deleted region of 1 cM. The high incidence of LOH in primary ovarian carcinomas suggests that a TSG relevant to the development of ovarian cancers is present at 7q31.1, confirming our previous functional evidence for a TSG in this region.
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Affiliation(s)
- J C Zenklusen
- Department of Carcinogenesis, University of Texas M.D. Anderson Cancer Center, Smithville 78957, USA
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Zenklusen JC, Oshimura M, Barrett JC, Conti CJ. Human chromosome 11 inhibits tumorigenicity of a murine squamous cell carcinoma cell line. Genes Chromosomes Cancer 1995; 13:47-53. [PMID: 7541643 DOI: 10.1002/gcc.2870130108] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Loss of heterozygosity (LOH) of mouse chromosome 7 has been consistently demonstrated in chemically induced murine squamous cell carcinomas (SCCs). The region of this chromosome presenting LOH in the mouse tumors is syntenic to human chromosome segments 11p15 and 11q. To determine whether the introduction of human chromosome (Hchr) 11 can suppress the growth of murine SCC, we injected four clones of a chemically induced murine SCC cell line bearing an Hchr 11 into athymic BALB/c nude mice. All microcell hybrid clones with Hchr 11 (CH72/Hchr 11) had latency periods twice as long as those of the parental CH72 cells and control hybrids containing a Hchr 12. Tumor-derived cells from CH72/Hchr 11 hybrids had lost centromeric and telomeric sequences from Hchr 11. All repressed cell lines grew significantly more slowly in vitro than did the controls. These results suggest that Hchr 11 contains a tumor-suppressor gene capable of inhibiting tumorigenicity in chemically induced SCC, confirming common pathways in the development of human neoplasias and the murine model.
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MESH Headings
- Alleles
- Animals
- Carcinoma, Squamous Cell/genetics
- Cell Division
- Cell Transformation, Neoplastic/genetics
- Chromosome Deletion
- Chromosomes, Human, Pair 11
- Disease Models, Animal
- Genes, Tumor Suppressor/genetics
- Heterozygote
- Humans
- In Situ Hybridization, Fluorescence
- Mice
- Mice, Inbred BALB C
- Mice, Nude
- Polymerase Chain Reaction
- Transfection
- Tumor Cells, Cultured
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Affiliation(s)
- J C Zenklusen
- Research Division, M.D. Anderson Cancer Center, University of Texas, Smithville 78957, USA
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Zenklusen JC, Thompson JC, Klein-Szanto AJ, Conti CJ. Frequent loss of heterozygosity in human primary squamous cell and colon carcinomas at 7q31.1: evidence for a broad range tumor suppressor gene. Cancer Res 1995; 55:1347-50. [PMID: 7882334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Consistent deletions and loss of heterozygosity (LOH) in polymorphic markers in a determinate chromosomal fragment are known to be indicative of a closely mapping tumor suppressor gene. Deletion of the long arm of chromosome 7 is a frequent trait in many kinds of human primary tumors. We studied LOH of 14 markers on chromosome 7q in order to determine the location of a putative tumor suppressor gene in human primary squamous cell carcinoma of the head and neck and in human primary colon carcinomas. Samples were obtained from 18 primary squamous cell carcinomas of the head and neck and 18 primary colon carcinomas surgically removed from patients at the Fox Chase Cancer Center. Loss of heterozygosity was studied performing PCR amplifications of a set of 14 CA microsatellite repeats encompassing 7q21-qter. Of 18 squamous cell carcinomas of the head and neck cases studied, 12 had LOH at one or more loci on 7q. Fifty-three percent of 15 informative cases had LOH of the CA microsatellite dinucleotide repeat marker D7S522 at 7q31.1-7q31.2. Eleven of 18 colon carcinoma cases had LOH of one or more markers assayed, and the maximum LOH (80% of 10 informative cases) was at D7S522. Distributions of percentage of LOH in both tumor types were normally distributed around microsatellite D7S522. The high incidence of LOH in both tumor types studied suggests that a tumor suppressor gene relevant to the development of epithelial cancers is present on the 7q31.1-31.2, confirming our previous functional evidence for a tumor suppressor gene on chromosome 7.
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Affiliation(s)
- J C Zenklusen
- University of Texas, M. D. Anderson Cancer Center, Science Park-Research Division, Smithville 78957
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Zenklusen JC, Thompson JC, Troncoso P, Kagan J, Conti CJ. Loss of heterozygosity in human primary prostate carcinomas: a possible tumor suppressor gene at 7q31.1. Cancer Res 1994; 54:6370-3. [PMID: 7987830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
We studied loss of heterozygosity (LOH) on human chromosome 7q to determine the location of a putative tumor suppressor gene (TSG) in human primary prostate carcinomas. Samples were obtained from 16 primary prostate carcinomas surgically removed from patients at The University of Texas M. D. Anderson Cancer Center. Paired normal and tumor DNAs were used as template for PCR amplification of a set of 14 CA microsatellite repeats on 7q21-qter. Twelve of 16 cases studied had LOH at one or more loci on 7q. Eighty-three percent LOH (five of six informative cases) was detected with D7S522 at 7q31.1-7q31.2. Percentage of LOH was normally distributed around D7S522. The high incidence of LOH in primary prostate carcinomas suggests that there is a TSG relevant to the development of prostate cancers at 7q31.1-31.2, confirming our previous functional evidence for a TSG at this location. Further research needs to be conducted to establish the identity and function of this putative TSG.
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Affiliation(s)
- J C Zenklusen
- Department of Carcinogenesis, University of Texas M. D. Anderson Cancer Center, Smithville 78957
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Zenklusen JC, Bièche I, Lidereau R, Conti CJ. (C-A)n microsatellite repeat D7S522 is the most commonly deleted region in human primary breast cancer. Proc Natl Acad Sci U S A 1994; 91:12155-8. [PMID: 7991599 PMCID: PMC45395 DOI: 10.1073/pnas.91.25.12155] [Citation(s) in RCA: 88] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Loss of heterozygosity in human chromosome 7q was studied to determine the location of a putative tumor suppressor gene. Twenty-six of 31 cases studied presented loss of heterozygosity at one or more loci on chromosome 7q. Eighty-three percent loss of heterozygosity (in 11 informative cases) was detected by using the (C-A)n microsatellite repeat marker D7S522 at 7q31.1-7q31.2. These results suggest that a tumor suppressor gene relevant to the development of breast cancer is present in the 7q31.1-7q31.2 region, confirming our previous evidence for a tumor suppressor gene in this chromosome and frequent deletions of the long arm in human primary breast cancers.
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Affiliation(s)
- J C Zenklusen
- University of Texas M. D. Anderson Cancer Center Science Park-Research Division, Smithville 78957
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Zenklusen JC, Oshimura M, Barrett JC, Conti CJ. Inhibition of tumorigenicity of a murine squamous cell carcinoma (SCC) cell line by a putative tumor suppressor gene on human chromosome 7. Oncogene 1994; 9:2817-25. [PMID: 8084587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Alterations in oncogenes and tumor suppressor genes (TSG) are considered to be critical steps in oncogenesis. However information on putative TSG involved in the development of squamous cell carcinomas (SCC) is very limited. In this study we confirmed the existence of a tumor suppressor gene (TSG) on human chromosome 7 (hchr 7) that suppresses the tumorigenicity of squamous cell carcinomas (SCCs). We injected seven clones of CH72 cells (a murine SCC-derived cell line) bearing a hchr 7 (CH72/hchr 7) introduced by microcell fusion, two clones bearing human chromosome 12 (CH72/hchr 12) and parental CH72 cells into athymic Balb/c nude mice. The sizes of the tumors were determined twice a week until tumors reached 12 mm diameter. In situ hybridization for centromeric repetitive sequences of the transferred chromosomes were performed on the cell lines injected and the tumors arising after the injection. Southern blots and polymerase chain reaction (PCR) amplifications of near terminal sequences and (CA) microsatellite repeats were done to test the integrity of the introduced chromosomes. Five out of seven CH72/hchr 7 clones had a twofold and threefold longer latency periods than CH72 cells. The remaining CH72/hchr 7 clones (MF 6 and 13 no. 4) had latency periods similar to that of parental CH72; MF 6 had a deletion in the introduced chromosome 7 involving q31.3-q31.3, whereas the other hybrid (MF 13 no. 4) seemed to have an intact hchr 7. Tumor-derived cells from CH72/hchr 7 hybrids with a delayed latency had lost centromeric and telomeric sequences of Chr 7. In contrast, tumors derived from the MF 6 and MF 13 no. 4 as well as the CH72/hchr 12 clones retained the introduced human chromosome as shown by chromosome 7 or 12 centromeric and telomeric sequences. These results indicate that the tumorigenicity of CH72 murine SCC cells was suppressed by hchr 7 and that the CH72/hchr 7 regain the tumorigenic phenotype after loss of the introduced chromosome, suggesting the presence of a TSG on hchr 7.
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MESH Headings
- Animals
- Carcinoma, Squamous Cell/genetics
- Carcinoma, Squamous Cell/pathology
- Cell Division
- Cell Fusion
- Chromosomes, Human, Pair 12
- Chromosomes, Human, Pair 7
- Female
- Genes, Tumor Suppressor
- Humans
- In Situ Hybridization
- Mice
- Mice, Inbred BALB C
- Mice, Nude
- Neoplasm Transplantation
- Phenotype
- Tumor Cells, Cultured
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Affiliation(s)
- J C Zenklusen
- University of Texas M.D. Anderson Cancer Center Science Park, Research Division, Smithville 78957
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Patamalai B, Burow DL, Gimenez-Conti I, Zenklusen JC, Conti CJ, Klein-Szanto AJ, Fischer SM. Altered expression of transforming growth factor-beta 1 mRNA and protein in mouse skin carcinogenesis. Mol Carcinog 1994; 9:220-9. [PMID: 8148055 DOI: 10.1002/mc.2940090406] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Transforming growth factor (TGF)-beta 1, whose gene is located on mouse chromosome 7, has been proposed to be involved in skin carcinogenesis. In the study presented here, we demonstrated that single topical treatments with different types of tumor promoters, i.e., the protein kinase C activator 12-O-tetradecanoylphorbol-13-acetate (TPA, 2 micrograms); the non-protein kinase C activators anthralin (22.6 micrograms), benzoyl peroxide (20 mg), and cumene hydroperoxide (1.2 mg); the first-stage tumor promoters 4-O-methyl-TPA (500 micrograms) and A23187 (166 micrograms); and the second-stage tumor promoter mezerein (2 micrograms) produced transient induction of TGF-beta 1 mRNA in SSIN (inbred SENCAR) mouse skin. The time of maximum induction varied from 3 to 12 h; the relative extent of induction was ranked as cumene hydroperoxide > benzoyl peroxide > anthralin > TPA > 4-O-methyl-TPA > mezerein > A23187. These findings suggested that TGF-beta 1 mRNA induction is a common response of skin to several types of complete and stage-specific promoters; however, the extent of induction did not correlate with the reported hyperplastic activity of single applications of these promoters. We also demonstrated that TGF-beta 1 mRNA expression in papillomas of SENCAR mice generally correlated with expression levels of cyclin D1, another gene on chromosome 7, and with stage of tumor progression. TGF-beta 1 mRNA expression was constitutively elevated in most squamous cell carcinomas from either initiation-promotion or complete carcinogenesis protocols. Cell lines established from carcinomas also overexpressed TGF-beta 1 mRNA. Immunohistochemical staining of tissue sections of normal and TPA-treated skin revealed the presence of extracellular TGF-beta 1 protein in the dermis and intracellular TGF-beta 1 protein in the epidermis, especially in the suprabasal layers. The staining patterns of papillomas varied, with 62 +/- 13% of the tissue showing strong intracellular staining but only 25 +/- 8% of the connective tissue staining for extracellular TGF-beta 1. Variable staining patterns were also found in carcinomas; some areas stained heavily for both the intracellular and extracellular forms of TGF-beta 1. Overall, 28 +/- 6% of the tissue of the 12 analyzed carcinomas stained for the intracellular form and 18 +/- 5% for the extracellular form of TGF-beta 1.
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Affiliation(s)
- B Patamalai
- University of Texas M.D. Anderson Cancer Center, Science Park-Research Division, Smithville 78957
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Zenklusen JC, Stockman SL, Fischer SM, Conti CJ, Gimenez-Conti IB. Transforming growth factor-beta 1 expression in Syrian hamster cheek pouch carcinogenesis. Mol Carcinog 1994; 9:10-6. [PMID: 8297479 DOI: 10.1002/mc.2940090104] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The expression pattern of transforming growth factor-beta 1 (TGF-beta 1) during the stages of complete carcinogenesis in the hamster cheek pouch model was studied. The right cheek pouches of 18 male hamsters were treated with 0.5%, 7,12-dimethylbenz[a]anthracene (DMBA) for 16 wk. TGF-beta 1 was detected immunohistochemically in the resulting samples with two different polyclonal monospecific antibodies that recognize intracellular and extracellular forms of TGF-beta 1. In the normal cheek pouch, extracellular protein stained the corium strongly, but the reaction was not evenly distributed. As treatment progressed, the reaction increased in both area and intensity; the peak was reached at 8 wk. Intracellular TGF-beta 1 expression followed a similar pattern, with a peak at 4 wk of treatment. The results of northern blot analysis were concordant with the immunohistochemical results. Overexpression of TGF-beta 1 was also observed in the malignant tumors, but only the extracellular form of the protein was present; intracellular TGF-beta 1 was not detected in these tumors. The expression of TGF-beta 1 in this carcinogenesis model seems to have two formal stages, the first being an overexpression step as a reaction to the uncontrolled growth and the second being one in which tumors have no internal expression of TGF-beta 1 but in which external protein accumulates in the surrounding stroma. A possible explanation of this paradox may be that TGF-beta 1 has functions other than its growth-repressing activity.
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Affiliation(s)
- J C Zenklusen
- University of Texas M. D. Anderson Cancer Center, Science Park-Research Division, Smithville 78957
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Wainstok de Calmanovici R, Cochón AC, Zenklusen JC, Aldonatti C, Cabral JR, San Martín de Viale LC. Influence of hepatic tumors caused by diethylnitrosamine on hexachlorobenzene-induced porphyria in rats. Cancer Lett 1991; 58:225-32. [PMID: 1649694 DOI: 10.1016/0304-3835(91)90105-q] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The response of female BDVI rats bearing diethylnitrosamine(DENA)-induced hepatic tumors to the porphyrinogenic action of hexachlorobenzene (HCB) was studied. (1) The heme pathway operates in these tumors but they were less affected by HCB than the liver. (2) Tumors did not accumulate porphyrins although the surrounding liver accumulated more porphyrins than livers treated with HCB. (3) DENA/HCB livers which developed a well defined tumor showed slightly less porphyrinogen carboxylyase inhibition and delta-aminolaevulinate synthase induction than HCB rats. (4) The results of the present work suggest that endogenously formed porphyrins would be unable to be accumulated by DENA-induced tumors when the tumoral development precedes the onset of the porphyria.
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Affiliation(s)
- R Wainstok de Calmanovici
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
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