Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment.

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Title: Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment.
Authors: Lau MC; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A* STAR), Singapore, Republic of Singapore.; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A* STAR), Singapore, Republic of Singapore.; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Borowsky J; Conjoint Gastroenterology Department, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia., Väyrynen JP; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, United States of America.; Cancer and Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland., Haruki K; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan., Zhao M; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Dias Costa A; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, United States of America., Gu S; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., da Silva A; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Ugai T; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America., Arima K; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Nguyen MN; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A* STAR), Singapore, Republic of Singapore., Takashima Y; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, United States of America., Yeong J; Division of Pathology, Singapore General Hospital, Singapore, Republic of Singapore.; Integrative Biology for Theranostics, Institute of Molecular Cell Biology, Agency of Science, Technology and Research (A* STAR), Singapore, Republic of Singapore., Tai D; Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Republic of Singapore.; Duke NUS Medical School, Singapore, Republic of Singapore., Hamada T; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America., Lennerz JK; BostonGene; Waltham, Boston, Massachusetts, United States of America., Fuchs CS; Genentech, South San Francisco, California, United States of America., Wu CJ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.; Cancer Vaccine Center, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America., Meyerhardt JA; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, United States of America., Ogino S; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.; Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, Massachusetts, United States of America., Nowak JA; Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Feb 18; Vol. 21 (2), pp. e1012707. Date of Electronic Publication: 2025 Feb 18 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1012707