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Transcriptome of Tumor-Infiltrating T Cells in Colorectal Cancer Patients Uncovered a Unique Gene Signature in CD4 + T Cells Associated with Poor Disease-Specific Survival.
- Source :
-
Vaccines [Vaccines (Basel)] 2021 Apr 01; Vol. 9 (4). Date of Electronic Publication: 2021 Apr 01. - Publication Year :
- 2021
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Abstract
- Colorectal cancer (CRC) is influenced by infiltration of immune cell populations in the tumor microenvironment. While elevated levels of cytotoxic T cells are associated with improved prognosis, limited studies have reported associations between CD4 <superscript>+</superscript> T cells and disease outcomes. We recently performed transcriptomic profiling and comparative analyses of sorted CD4 <superscript>+</superscript> and CD8 <superscript>+</superscript> tumor-infiltrating lymphocytes (TILs) from bulk tumors of CRC patients with varying disease stages. In this study, we compared the transcriptomes of CD4 <superscript>+</superscript> with CD8 <superscript>+</superscript> TILs. Functional annotation pathway analyses revealed the downregulation of inflammatory response-related genes, while T cell activation and angiogenesis-related genes were upregulated in CD4 <superscript>+</superscript> TILs. The top 200 deregulated genes in CD4 <superscript>+</superscript> TILs were aligned with the cancer genome atlas (TCGA) CRC dataset to identify a unique gene signature associated with poor prognosis. Moreover, 69 upregulated and 20 downregulated genes showed similar trends of up/downregulation in the TCGA dataset and were used to calculate "poor prognosis score" (ppScore), which was significantly associated with disease-specific survival. High ppScore patients showed lower expression of Treg-, Th1-, and Th17-related genes, and higher expression of Th2-related genes. Our data highlight the significance of T cells within the TME and identify a unique candidate prognostic gene signature for CD4 <superscript>+</superscript> TILs in CRC patients.
Details
- Language :
- English
- ISSN :
- 2076-393X
- Volume :
- 9
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Vaccines
- Publication Type :
- Academic Journal
- Accession number :
- 33916009
- Full Text :
- https://doi.org/10.3390/vaccines9040334