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

Unsupervised discoveries of microgeometric tissue organizational patterns and novel tumor subtypes using the TIPC algorithm can deepen our understanding of the tumor immune microenvironment and likely inform precision cancer immunotherapy.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-02-18
DOI
https://doi.org/10.1371/journal.pcbi.1012707
Citations
3
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
3.14

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article

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

Tomotaka Ugai, Mai Chan Lau, Jeffrey A. Meyerhardt, Jennifer Borowsky et al.
3 citations
PLoS Computational Biology
Cancer Immunotherapy and Biomarkers
3.14
article

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

Tomotaka Ugai, Mai Chan Lau, Jeffrey A. Meyerhardt, Jennifer Borowsky, Yasutoshi Takashima, Melissa Zhao, Koichiro Haruki, Annacarolina da Silva, Catherine J. Wu, Charles S. Fuchs, Simeng Gu, Jonathan Andrew Nowak, Tsuyoshi Hamada, Jochen K. Lennerz, Andressa Dias Costa, Shuji Ogino, Juha P. Väyrynen, David Tai, Minh N. Nguyen, Joe Poh-Sheng Yeong, Kota Arima
article en
3 citations

Abstract

Unsupervised discoveries of microgeometric tissue organizational patterns and novel tumor subtypes using the TIPC algorithm can deepen our understanding of the tumor immune microenvironment and likely inform precision cancer immunotherapy.

PLoS Computational BiologyVol. 21(2)
Broad Institute (US), Agency for Science, Technology and Research (SG), Jikei University School of Medicine (JP), Brigham and Women's Hospital (US), Harvard University (US), QIMR Berghofer Medical Research Institute (AU), Singapore General Hospital (SG), Oulu University Hospital (FI), Singapore Immunology Network (SG), Addgene (US), Dana-Farber Cancer Institute (US), Duke-NUS Medical School (SG), Dana-Farber/Harvard Cancer Center (US), National Cancer Centre Singapore (SG), Boston Sports & Shoulder Center (US), Bioinformatics Institute (SG), University of Oulu (FI)
American Association for Cancer Research, American Cancer Society, American Institute for Cancer Research, Entertainment Industry Foundation, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Uehara Memorial Foundation, Mitsukoshi Health and Welfare Foundation, Boston Biomedical, Agency for Science, Technology and Research, National Institutes of Health, National Medical Research Council, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 9%
Cancer Immunotherapy and Biomarkers
3.14
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