Bioinformatics analysis for the role of CALR in human cancers

• Published in: PloS one Vol. 16; no. 12; p. e0261254
• Main Authors: Li, Yijun, Liu, Xiaoxu, Chen, Heyan, Xie, Peiling, Ma, Rulan, He, Jianjun, Zhang, Huimin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 15-12-2021; Public Library of Science (PLoS)
• Subjects: Analysis; Bioinformatics; Biology and Life Sciences; Biomarkers; Breast cancer; Calreticulin - genetics; Calreticulin - metabolism; Cancer; Cell Line, Tumor; Chemotherapy; Computational Biology - methods; Databases, Genetic; Esophageal cancer; Genetic aspects; Genomics; Health aspects; Health problems; Human tissues; Humans; Immune system; Immunotherapy; Medical prognosis; Medicine and Health Sciences; Mutation; Neoplasms - genetics; Ovarian cancer; Prognosis; Prostate cancer; Proteins; Public health; Radiation therapy; Research and Analysis Methods; Side effects; Survival; Therapeutic targets; Tumor cell lines; Tumors; Websites; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0261254

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.