CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
Abstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapie...
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Format: | Article |
Language: | English |
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Wiley
2025-01-01
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Series: | Advanced Science |
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Online Access: | https://doi.org/10.1002/advs.202408007 |
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author | Xilong Zhao Jiashuo Wu Jiyin Lai Bingyue Pan Miao Ji Xiangmei Li Yalan He Junwei Han |
author_facet | Xilong Zhao Jiashuo Wu Jiyin Lai Bingyue Pan Miao Ji Xiangmei Li Yalan He Junwei Han |
author_sort | Xilong Zhao |
collection | DOAJ |
description | Abstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapies. However, current cell infiltration analysis methods only partially describe the TME's cellular landscape and overlook cell‐cell crosstalk. Here, this approach, CITMIC, can infer the cell infiltration of TME by simultaneously measuring 86 different cell types, constructing an individualized cell‐cell crosstalk network based on functional similarities between cells, and using only gene transcription data. This is a novel approach to estimating the relative cell infiltration levels, which are shown to be superior to the current methods. The TME cell‐based features generated by analyzing melanoma data are effective in predicting prognosis and treatment response. Interestingly, these features are found to be particularly effective in assessing the prognosis of high‐stage patients, and this method is applied to multiple high‐stage adenocarcinomas, where more significant prognostic performance is also observed. In conclusion, CITMIC offers a more comprehensive description of TME cell composition by considering cell‐cell crosstalk, providing an important reference for the discovery of predictive biomarkers and the development of new therapeutic strategies. |
format | Article |
id | doaj-art-52c01141875b480281e84bb3c6efbd05 |
institution | Kabale University |
issn | 2198-3844 |
language | English |
publishDate | 2025-01-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Science |
spelling | doaj-art-52c01141875b480281e84bb3c6efbd052025-01-09T11:44:45ZengWileyAdvanced Science2198-38442025-01-01121n/an/a10.1002/advs.202408007CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular CrosstalkXilong Zhao0Jiashuo Wu1Jiyin Lai2Bingyue Pan3Miao Ji4Xiangmei Li5Yalan He6Junwei Han7College of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaAbstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapies. However, current cell infiltration analysis methods only partially describe the TME's cellular landscape and overlook cell‐cell crosstalk. Here, this approach, CITMIC, can infer the cell infiltration of TME by simultaneously measuring 86 different cell types, constructing an individualized cell‐cell crosstalk network based on functional similarities between cells, and using only gene transcription data. This is a novel approach to estimating the relative cell infiltration levels, which are shown to be superior to the current methods. The TME cell‐based features generated by analyzing melanoma data are effective in predicting prognosis and treatment response. Interestingly, these features are found to be particularly effective in assessing the prognosis of high‐stage patients, and this method is applied to multiple high‐stage adenocarcinomas, where more significant prognostic performance is also observed. In conclusion, CITMIC offers a more comprehensive description of TME cell composition by considering cell‐cell crosstalk, providing an important reference for the discovery of predictive biomarkers and the development of new therapeutic strategies.https://doi.org/10.1002/advs.202408007cell‐cell crosstalkcell infiltrationindividualized analysisnetwork analysistumor microenvironment |
spellingShingle | Xilong Zhao Jiashuo Wu Jiyin Lai Bingyue Pan Miao Ji Xiangmei Li Yalan He Junwei Han CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk Advanced Science cell‐cell crosstalk cell infiltration individualized analysis network analysis tumor microenvironment |
title | CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk |
title_full | CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk |
title_fullStr | CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk |
title_full_unstemmed | CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk |
title_short | CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk |
title_sort | citmic comprehensive estimation of cell infiltration in tumor microenvironment based on individualized intercellular crosstalk |
topic | cell‐cell crosstalk cell infiltration individualized analysis network analysis tumor microenvironment |
url | https://doi.org/10.1002/advs.202408007 |
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