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Mitochondrial RNA modification in colorectal cancer: From single-cell analysis to machine learning-based risk
Qingfang Yue1, Hongxia Wen2, Zeyu Zhang3
1Department of Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China; Shaanxi International Science and Technology Cooperation Base for Clinical Medicine, China.
This study identifies seven mitochondrial RNA modification (MRM) score-associated genes as potential prognostic markers for colorectal cancer (CRC). These findings could improve prognostic stratification and guide future CRC treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- The clinical significance of mitochondrial RNA modification (MRM) in colorectal cancer (CRC) for prognosis remains unclear.
- Accurate prognostic markers are crucial for effective CRC patient management.
Purpose of the Study:
- To identify MRM score-associated prognostic genes in CRC.
- To develop a predictive risk model for colorectal cancer using these genes.
Main Methods:
- Integrated bulk transcriptomic data, machine learning, and single-cell analysis.
- Selected seven prognostic genes: SPARCL1, MGP, PRELP, PALMD, TNS1, ARHGEF25, and PTGIS.
- Validated prognostic performance using nomogram assessment and analyzed cellular associations.
Main Results:
- A novel risk signature incorporating the seven genes demonstrated favorable prognostic performance in CRC.
- Gene Set Enrichment Analysis suggested cytokine-related pathways in CRC progression.
- TNS1 exhibited significant associations with natural killer and T helper cells; specific gene expression patterns were observed across various cell types.
Conclusions:
- The identified genes (SPARCL1, MGP, PRELP, PALMD, TNS1, ARHGEF25, PTGIS) may serve as valuable MRM score-associated prognostic markers for colorectal cancer.
- Further research is warranted to confirm their clinical utility and explore targeted therapeutic strategies.