Bioinformatics analysis for the role of CALR in human cancers.

Abstract

Cancer is one of the most important public health problems in the world. The curative effect of traditional surgery, radiotherapy and chemotherapy is limited and has inevitable side effects. As a potential target for tumor therapy, few studies have comprehensively analyzed the role of CALR in cancers. Therefore, by using GeneCards, UALCAN, GEPIA, Kaplan-Meier Plotter, COSMIC, Regulome Explorer, String, GeneMANIA and TIMER databases, we collected and analyzed relevant data to conduct in-depth bioinformatics research on the CALR expression in Pan-cancer to assess the possibility of CALR as a potential therapeutic target and survival biomarker. We studied the CALR expression in normal human tissues and various tumors of different stages, and found that CALR expression was associated with relapse free survival (RFS). We verified the expression of CALR in breast cancer cell lines by vitro experiments. Mutations of CALR were widely present in tumors. CALR interacted with different genes and various proteins. In tumors, a variety of immune cells are closely related to CALR. In conclusion, CALR can be used as a biomarker for predicting prognosis and a potential target for tumor molecular and immunotherapy.

• Authors: Yijun Li, Xiaoxu Liu, Heyan Chen, Peiling Xie, Rulan Ma, Jianjun He, Huimin Zhang
• Journal: PloS one (PLoS One) Vol. 16 Issue 12 Pg. e0261254 ( 2021) ISSN: 1932-6203 [Electronic] United States
• PMID: 34910788 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• CALR protein, human
• Calreticulin

Topics

• Calreticulin (genetics, metabolism)
• Cell Line, Tumor
• Computational Biology (methods)
• Databases, Genetic
• Humans
• Neoplasms (genetics)
• Prognosis