Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.
1/5 보강
[BACKGROUND] Colorectal cancer (CRC) development and progression are linked to genetic factors, environmental influences, and dysregulated signaling pathways.
APA
He X, Wang W, et al. (2025). Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.. Frontiers in immunology, 16, 1615022. https://doi.org/10.3389/fimmu.2025.1615022
MLA
He X, et al.. "Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.." Frontiers in immunology, vol. 16, 2025, pp. 1615022.
PMID
41601652 ↗
Abstract 한글 요약
[BACKGROUND] Colorectal cancer (CRC) development and progression are linked to genetic factors, environmental influences, and dysregulated signaling pathways.
[METHODS] The differentially expressed pan-apoptotic genes (CPAN_DEGs) between CRC and normal colon tissues were screened from bulk RNA-sequencing (RNA-Seq) datasets. The putative biological functions of these CPAN_DEGs were explored through functional enrichment analysis and the protein-protein interaction (PI) network. Unsupervised clustering was used to stratify patients on the basis of CPAN_DEGs, and a prognostic model was constructed using LASSO dimensionality reduction. Based on the CPAN-index score, the patients were divided into the high-risk and low-risk groups, and the survival rates and immunophenotypes were compared. The predictive performance of the CPAN-index model was confirmed in an external validation set. The expression patterns of PANoptosis genes across different cell types in CRC samples, and the distribution of CPAN-index-positive cells within each subpopulation were analyzed using single cell RNA-Seq (scRNA-Seq) datasets. The expression of CDKN2A was confirmed in CRC cell lines, and its functional role was evaluated by gene knockdown.
[RESULTS] The expression levels of PANoptosis-related genes showed significant heterogeneity across CRC samples, and the highest percentage (87.4%) was that of apoptosis-related genes. The differentially expressed genes (DEGs) between the CRC and normal tissue samples were significantly enriched in pathways related to metabolism and immune regulation. The CPAN-index constructed using 11 CPAN_DEGs effectively distinguished CRC patients in to the high-risk and low-risk groups, and the high-risk group showed an "invasion-metabolism-immunosuppressive" phenotype, along with immune tolerance and non-classical immune escape. The CPAN-index gene CDKN2A was upregulated in the CRC cell lines, and knocking down the CDKN2A gene inhibited their proliferation and promoted apoptosis . ScRNA-Seq data revealed a higher proportion of CPAN-index-positive immune cells, and a lower proportion of tumor cells positive for CPAN-index, thus underscoring its critical role in the tumor immune microenvironment.
[CONCLUSIONS] CDKN2A-mediated PANoptosis signaling network drives CRC progression by reshaping the immune microenvironment and metabolic reprogramming. The CPAN-index provides a new tool for accurate risk stratification of CRC patients, and suggests potential therapeutic strategies targeting the immunometabolism-death interaction network.
[METHODS] The differentially expressed pan-apoptotic genes (CPAN_DEGs) between CRC and normal colon tissues were screened from bulk RNA-sequencing (RNA-Seq) datasets. The putative biological functions of these CPAN_DEGs were explored through functional enrichment analysis and the protein-protein interaction (PI) network. Unsupervised clustering was used to stratify patients on the basis of CPAN_DEGs, and a prognostic model was constructed using LASSO dimensionality reduction. Based on the CPAN-index score, the patients were divided into the high-risk and low-risk groups, and the survival rates and immunophenotypes were compared. The predictive performance of the CPAN-index model was confirmed in an external validation set. The expression patterns of PANoptosis genes across different cell types in CRC samples, and the distribution of CPAN-index-positive cells within each subpopulation were analyzed using single cell RNA-Seq (scRNA-Seq) datasets. The expression of CDKN2A was confirmed in CRC cell lines, and its functional role was evaluated by gene knockdown.
[RESULTS] The expression levels of PANoptosis-related genes showed significant heterogeneity across CRC samples, and the highest percentage (87.4%) was that of apoptosis-related genes. The differentially expressed genes (DEGs) between the CRC and normal tissue samples were significantly enriched in pathways related to metabolism and immune regulation. The CPAN-index constructed using 11 CPAN_DEGs effectively distinguished CRC patients in to the high-risk and low-risk groups, and the high-risk group showed an "invasion-metabolism-immunosuppressive" phenotype, along with immune tolerance and non-classical immune escape. The CPAN-index gene CDKN2A was upregulated in the CRC cell lines, and knocking down the CDKN2A gene inhibited their proliferation and promoted apoptosis . ScRNA-Seq data revealed a higher proportion of CPAN-index-positive immune cells, and a lower proportion of tumor cells positive for CPAN-index, thus underscoring its critical role in the tumor immune microenvironment.
[CONCLUSIONS] CDKN2A-mediated PANoptosis signaling network drives CRC progression by reshaping the immune microenvironment and metabolic reprogramming. The CPAN-index provides a new tool for accurate risk stratification of CRC patients, and suggests potential therapeutic strategies targeting the immunometabolism-death interaction network.
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