Skip to content

Investigating the mechanisms of malignant progression in colorectal cancer using weighted gene co-expression network analysis and machine learning

Jul 2026 · Journal of Molecular Histology · Vol 57 · 0 citations · 29 references
Medicine

TL;DR

The TFAP4-CDK1 axis is established as a critical driver of malignant progression in CRC and Targeting this pathway could lead to the development of novel interventions for CRC.

View source

Similar papers

Open access 2026

Seven-Gene Signature and Immune Microenvironment as Determinants of Survival Rate in Colorectal Carcinoma

A seven-gene immune-related prognostic signature that, combined with clinicopathological parameters, provides a robust tool for individualized survival prediction and may guide precision management in CRC patients is developed and validated.

Vincenzo Rallo, Matteo Massidda, Xiaofen Wen et al. · 0 citations
Open access Sep 2026

Machine learning reveals diverse cell death patterns in colorectal cancer prognosis and therapy

Colorectal cancer is a common gastrointestinal malignancy with a high mortality rate. Cancer cells must resist all forms of cell death to progress, and these death-related genes have been shown to have a fundamental impact on cancer development and metastasis. However, these cell death-related genes are still rar...

Yi-Yang Lu, Hao Chen, Rui-Yan Mei et al. · 0 citations
Open access Aug 2026

Machine learning-based identification of hub genes and prognostic biomarkers in prostate cancer

EZH2, CDK1, and AURKA constitute an internally validated prognostic risk signature in PCa that links cell cycle dysregulation to an immunosuppressive tumor microenvironment and provides clinically actionable risk stratification and highlights candidate therapeutic targets in prostate cancer.

Gu-Quan Chen, Jie-Feng Zhang, Lin-Fu Zhao et al. · 0 citations
Aug 2026

Resveratrol Modulates Lung Cancer-Associated Hub Genes Identified by Integrated Bioinformatics, Single-Cell Analysis, Molecular Docking, and Experimental Validation

This study identified five lung cancer-associated hub genes and provided preliminary evidence that resveratrol may modulate their expression, and provides a multi-level molecular framework for further investigation of resveratrol-responsive networks in lung cancer.

Jing-Hua Yang, Han-Xiu Wei, Jie Li et al. · 0 citations
Open access Sep 2026

Integrated transcriptomic and single cell analyses identify matrix stiffness-related candidate prognostic genes and epithelial dynamics in colorectal cancer

Investigation of MS-related prognostic genes and their potential biological relevance in CRC progression finds potential clues for future studies of CRC prognosis and MS-related tumor biology.

Chang-Feng Li, Hai-Hong Liu, Yao-Ping Li · 0 citations
Open access Aug 2026

Bioinformatics Analysis Identifies Apoptosis Gene Biomarkers Linking Psoriasis and Inflammatory Bowel Disease Comorbidity

The comorbidity of psoriasis and inflammatory bowel disease (IBD) is well-established, yet the shared molecular mechanisms, particularly the role of apoptosis, remain insufficiently explored. This study aims to identify key apoptosis-related genes that link these two diseases. Microarray data from the GEO...

Qing Wei, Zhen-Qi Huang, Shao-Zhang Hou et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.