Identification and validation of the clinical prediction model and biomarkers based on chromatin regulators in colon cancer by integrated analysis of bulk- and single-cell RNA sequencing data
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Summary
This summary is machine-generated.This study identifies key chromatin regulators (CRs) for colon adenocarcinoma (COAD) and develops a prognostic model. The gene PKM is highlighted as critical for cancer prognosis and potentially linked to drug sensitivity.
Area Of Science
- Oncology
- Genomics
- Molecular Biology
Background
- Chromatin regulators (CRs) are crucial in cancer development.
- Their specific roles in colon adenocarcinoma (COAD) require comprehensive investigation.
Purpose Of The Study
- To identify CRs for clinical diagnosis and treatment recommendations in COAD.
- To elucidate the mechanisms underlying their critical roles in COAD.
Main Methods
- Utilized TCGA and GEO databases for data acquisition.
- Employed Weighted Gene Co-Expression Network Analysis (WGCNA) and LASSO-Cox regression for CR screening and model construction.
- Integrated single-cell, immune infiltration, mutation, methylation, and drug sensitivity analyses.
- Validated gene expression via qRT-PCR and performed pan-cancer analysis.
Main Results
- Identified 32 tumor-associated CRs and developed a prognostic model using 8 key CRs (RCOR2, PPARGC1A, PKM, RAC3, PHF19, MYBBP1A, ORC1, EYA2).
- The model demonstrated an immune-related association, with lower risk scores correlating with increased immune infiltration and better response.
- PKM emerged as a critical gene, implicated in mutations, methylation, drug sensitivity, and prognosis across multiple cancers.
Conclusions
- A novel prognostic model for COAD based on CRs was developed.
- The core gene PKM's elevated expression is associated with poor prognosis in various cancers, suggesting its significance in COAD progression and treatment.

