CTTIME: A Database for Analyzing Cancer Therapy’s Impact on Tumor Immune Microenvironment

Tumor immune microenvironment (TIME) significantly affects the regulation of immune checkpoint blockade (ICB)- based therapy. Anti-cancer drugs also have the potential to modify the TIME, which in turn affects the potency of ICB and combined therapies. Therefore, identifying the prediction of therapeutic efficacy and developing combination therapy strategies will be significantly enhanced by placing the dynamic change of TIME during anti-cancer therapies in cancer types. A computational pipeline and database was designed to identify dynamic molecular profiles under various anti-cancer therapies. This database comprised 92 transcriptomic datasets, including 5311 pre- and post-treatment biopsies from 20 cancer types and 9 treatment strategies. A systematic approach was used to identify differentially expressed genes (DEGs) and functional enrichment, significant associations among immune cell populations, and dynamic alteration of immune cell abundance and ICB-related immune features during various therapeutic strategies. Finally, a user-friendly database, Impact of Cancer Therapy on TIME (CTTIME), was developed to browse, search, visualize, and download data of interest which will serve as a valuable resource for investigating innovative anti-cancer therapies. CTTIME is available at https://www.cttime.yelab.site/.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2025-09-22
DOI
https://doi.org/10.1093/gpbjnl/qzaf086
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
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article

CTTIME: A Database for Analyzing Cancer Therapy’s Impact on Tumor Immune Microenvironment

C. Zhang, Youqiong Ye, Jintong Shi, Leng Han et al.
Genomics Proteomics & Bioinformatics
Cancer Immunotherapy and Biomarkers
article

CTTIME: A Database for Analyzing Cancer Therapy’s Impact on Tumor Immune Microenvironment

C. Zhang, Youqiong Ye, Jintong Shi, Leng Han, Yuan Liu, Yu Dong
article en

Abstract

Tumor immune microenvironment (TIME) significantly affects the regulation of immune checkpoint blockade (ICB)- based therapy. Anti-cancer drugs also have the potential to modify the TIME, which in turn affects the potency of ICB and combined therapies. Therefore, identifying the prediction of therapeutic efficacy and developing combination therapy strategies will be significantly enhanced by placing the dynamic change of TIME during anti-cancer therapies in cancer types. A computational pipeline and database was designed to identify dynamic molecular profiles under various anti-cancer therapies. This database comprised 92 transcriptomic datasets, including 5311 pre- and post-treatment biopsies from 20 cancer types and 9 treatment strategies. A systematic approach was used to identify differentially expressed genes (DEGs) and functional enrichment, significant associations among immune cell populations, and dynamic alteration of immune cell abundance and ICB-related immune features during various therapeutic strategies. Finally, a user-friendly database, Impact of Cancer Therapy on TIME (CTTIME), was developed to browse, search, visualize, and download data of interest which will serve as a valuable resource for investigating innovative anti-cancer therapies. CTTIME is available at https://www.cttime.yelab.site/.

Genomics Proteomics & Bioinformatics
Indiana University Health (US), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Ruijin Hospital (CN), Shanghai Library (CN), Center for Excellence in Brain Science and Intelligence Technology (CN), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 65%
Cancer Immunotherapy and Biomarkers
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