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Gene expression and DNA methylation analyses suggest that two immune related genes are prognostic factors of colorectal cancer.
Xing, Xiao-Liang; Yao, Zhi-Yong; Xing, Chaoqun; Huang, Zhi; Peng, Jing; Liu, Yuan-Wu.
Afiliación
  • Xing XL; Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China.
  • Yao ZY; Hunan University of Medicine, Huaihua, 418000, Hunan, People's Republic of China.
  • Xing C; Hunan University of Medicine, Huaihua, 418000, Hunan, People's Republic of China.
  • Huang Z; Hunan University of Medicine, Huaihua, 418000, Hunan, People's Republic of China.
  • Peng J; Hunan University of Medicine, Huaihua, 418000, Hunan, People's Republic of China.
  • Liu YW; Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China. pengjing4346@163.com.
BMC Med Genomics ; 14(1): 116, 2021 04 28.
Article en En | MEDLINE | ID: mdl-33910576
ABSTRACT

BACKGROUND:

Colorectal cancer (CRC) is the second most prevalent cancer, as it accounts for approximately 10% of all annually diagnosed cancers. Studies have indicated that DNA methylation is involved in cancer genesis. The purpose of this study was to investigate the relationships among DNA methylation, gene expression and the tumor-immune microenvironment of CRC, and finally, to identify potential key genes related to immune cell infiltration in CRC.

METHODS:

In the present study, we used the ChAMP and DESeq2 packages, correlation analyses, and Cox regression analyses to identify immune-related differentially expressed genes (IR-DEGs) that were correlated with aberrant methylation and to construct a risk assessment model.

RESULTS:

Finally, we found that HSPA1A expression and CCRL2 expression were positively and negatively associated with the risk score of CRC, respectively. Patients in the high-risk group were more positively correlated with some types of tumor-infiltrating immune cells, whereas they were negatively correlated with other tumor-infiltrating immune cells. After the patients were regrouped according to the median risk score, we could more effectively distinguish them based on survival outcome, clinicopathological characteristics, specific tumor-immune infiltration status and highly expressed immune-related biomarkers.

CONCLUSION:

This study suggested that the risk assessment model constructed by pairing immune-related differentially expressed genes correlated with aberrant DNA methylation could predict the outcome of CRC patients and might help to identify those patients who could benefit from antitumor immunotherapy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación Neoplásica de la Expresión Génica Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación Neoplásica de la Expresión Génica Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2021 Tipo del documento: Article