COMP promotes the progression of colorectal cancer by regulating epithelial mesenchymal transition

Epithelial-mesenchymal transition (EMT) plays a crucial role in the progression and metastasis of colorectal cancer (CRC). This study investigates the molecular mechanisms of EMT and its prognostic biomarkers in CRC. Multi-omics bioinformatics analyses were conducted using CRC transcriptomic datasets from GEO and TCGA. EMT-related differentially expressed genes (EMT-DEGs) were identified and subjected to pathway enrichment and machine learning-based prognostic modeling. COMP was selected as a hub gene for further validation. Single-cell RNA sequencing (scRNA-seq) data were also analyzed to determine the cell-type-specific expression pattern of COMP and EMT-DEGs. Clinical CRC tissue samples were analyzed via RT-qPCR, Western blot, and histology. Functional assays in HT-29 cells assessed the effects of COMP knockdown on EMT markers, proliferation, apoptosis, invasion, and migration. EMT was significantly enriched in CRC, with 36 EMT-DEGs identified. These DEGs were enriched in pathways such as ECM-receptor interaction, focal adhesion, and the PI3K-Akt signaling pathway. Among the constructed machine learning models, the random survival forest (RSF) model demonstrated the strongest ability to predict CRC prognosis. This model stratified CRC patients into high-risk and low-risk groups, with poorer prognosis observed in the high-risk group. Cox regression forest plots and Kaplan-Meier survival analysis identified COMP as a top EMT-related prognostic gene enriched in pathways including ECM-receptor interaction and PI3K-Akt signaling. High COMP expression correlated with poor patient prognosis and EMT marker dysregulation in metastatic CRC tissues. In vitro, COMP knockdown significantly reduced mesenchymal markers, restored E-cadherin, and inhibited proliferation and invasion of CRC cells. EMT plays a vital role in CRC progression and metastasis, with COMP identified as a key prognostic biomarker and potential therapeutic target. This study provides new insights into the molecular mechanisms and intervention strategies for CRC metastasis.

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Publication Details

Journal
BMC Cancer
Published
2025-11-04
DOI
https://doi.org/10.1186/s12885-025-15000-3
Citations
2
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
2.09
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article

COMP promotes the progression of colorectal cancer by regulating epithelial mesenchymal transition

He Huang, Lei Wang, Haijiang Wang, Song Gao
2 citations
BMC Cancer
Cancer Cells and Metastasis
2.09
article

COMP promotes the progression of colorectal cancer by regulating epithelial mesenchymal transition

He Huang, Lei Wang, Haijiang Wang, Song Gao
article en
2 citations

Abstract

Epithelial-mesenchymal transition (EMT) plays a crucial role in the progression and metastasis of colorectal cancer (CRC). This study investigates the molecular mechanisms of EMT and its prognostic biomarkers in CRC. Multi-omics bioinformatics analyses were conducted using CRC transcriptomic datasets from GEO and TCGA. EMT-related differentially expressed genes (EMT-DEGs) were identified and subjected to pathway enrichment and machine learning-based prognostic modeling. COMP was selected as a hub gene for further validation. Single-cell RNA sequencing (scRNA-seq) data were also analyzed to determine the cell-type-specific expression pattern of COMP and EMT-DEGs. Clinical CRC tissue samples were analyzed via RT-qPCR, Western blot, and histology. Functional assays in HT-29 cells assessed the effects of COMP knockdown on EMT markers, proliferation, apoptosis, invasion, and migration. EMT was significantly enriched in CRC, with 36 EMT-DEGs identified. These DEGs were enriched in pathways such as ECM-receptor interaction, focal adhesion, and the PI3K-Akt signaling pathway. Among the constructed machine learning models, the random survival forest (RSF) model demonstrated the strongest ability to predict CRC prognosis. This model stratified CRC patients into high-risk and low-risk groups, with poorer prognosis observed in the high-risk group. Cox regression forest plots and Kaplan-Meier survival analysis identified COMP as a top EMT-related prognostic gene enriched in pathways including ECM-receptor interaction and PI3K-Akt signaling. High COMP expression correlated with poor patient prognosis and EMT marker dysregulation in metastatic CRC tissues. In vitro, COMP knockdown significantly reduced mesenchymal markers, restored E-cadherin, and inhibited proliferation and invasion of CRC cells. EMT plays a vital role in CRC progression and metastasis, with COMP identified as a key prognostic biomarker and potential therapeutic target. This study provides new insights into the molecular mechanisms and intervention strategies for CRC metastasis.

BMC CancerVol. 25(1)
Xinjiang Medical University (CN), Fifth Affiliated Hospital of Xinjiang Medical University (CN)
Openalex Percentile: Top 10%
Cancer Cells and Metastasis
2.09
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