Five genes identified as prognostic markers for colorectal cancer through the integration of genome-wide association study and expression quantitative trait loci data.
Cuizhen ZhangWenjie HuangWanjie NiuHuiying YangYingyi ZhengXuan GaoXiao-Yan QiuPublished in: Personalized medicine (2024)
Background: Colorectal cancer (CRC) is a prominent form of cancer globally, ranking second in terms of prevalence and serving as a leading cause of cancer-related deaths, but the underlying biological interpretation remains largely unknown. Methods: We used the summary data-based Mendelian randomization method to integrate CRC genome-wide association studies (n case = 7062; n control = 195,745) and expression quantitative trait loci summary data in peripheral whole blood (Consortium for Architecture of Gene Expression: n = 2765; Genotype-Tissue Expression [v8]: n = 755) and colon tissue (colon-transverse: n = 406; colon-sigmoid: n = 373) and identified related genes. Results: Genes ABTB1 , CYP21A2 , NLRP1 , PHKG1 and PIP5K1C have emerged as significant prognostic markers for CRC patient survival. Functional analysis revealed their involvement in cancer cell migration and invasion mechanisms, providing valuable insights for the development of future anti-CRC drugs. Conclusion: We successfully identified five CRC risk genes, providing new insights and research directions for the effective mechanisms of CRC.
Keyphrases
- genome wide
- genome wide association study
- genome wide association
- poor prognosis
- dna methylation
- gene expression
- electronic health record
- big data
- high resolution
- genome wide identification
- bioinformatics analysis
- long non coding rna
- papillary thyroid
- data analysis
- deep learning
- artificial intelligence
- case control
- free survival