Journal Article

DKFZ-2024-00270

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer.

Bao, X. ; Li, Q. ; Chen, D. ; Dai, X. ; Liu, C. ; Tian, W. ; Zhang, H. ; Jin, Y. ; Wang, Y. ; Cheng, J. ; Lai, C. ; Ye, C. ; Xin, S. ; Li, X.DKFZ* ; Su, G. ; Ding, Y. ; Xiong, Y. ; Xie, J. ; Tano, V. ; Wang, Y. ; Fu, W. ; Deng, S. ; Fang, W. ; Sheng, J. ; Ruan, J. ; Zhao, P.

2024
Elsevier Maryland Heights, MO

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Please use a persistent id in citations: doi:10.1016/j.xcrm.2024.101399

Abstract: Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor microenvironment (TME) has been characterized well at single-cell resolution. However, a spatial interaction map of the CRC TME is still elusive. Here, we integrate multiomics analyses and establish a spatial interaction map to improve the prognosis, prediction, and therapeutic development for CRC. We construct a CRC immune module (CCIM) that comprises FOLR2+ macrophages, exhausted CD8+ T cells, tolerant CD8+ T cells, exhausted CD4+ T cells, and regulatory T cells. Multiplex immunohistochemistry is performed to depict the CCIM. Based on this, we utilize advanced deep learning technology to establish a spatial interaction map and predict chemotherapy response. CCIM-Net is constructed, which demonstrates good predictive performance for chemotherapy response in both the training and testing cohorts. Lastly, targeting FOLR2+ macrophage therapeutics is used to disrupt the immunosuppressive CCIM and enhance the chemotherapy response in vivo.

Keyword(s): FOLR2(+) macrophages ; artificial intelligence ; colorectal cancer ; immuno module ; tumor microenvironment

Note: 2024 Feb 20;5(2):101399

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Contributing Institute(s):

1. Chronische Entzündung und Krebs (F180)
2. Chronische Entzündung und Krebs (D440)

Research Program(s):

1. 314 - Immunologie und Krebs (POF4-314) (POF4-314)

Appears in the scientific report 2024

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Database coverage:
; ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 10 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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