Dataset Information

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.

SUBMITTER: Li Y

PROVIDER: S-EPMC8673678 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Bioinformatics analysis for the role of CALR in human cancers.

Li Yijun Y Liu Xiaoxu X Chen Heyan H Xie Peiling P Ma Rulan R He Jianjun J Zhang Huimin H

PloS one 20211215 12

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 bio ...[more]

PMID: 34910788

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Project description:Background: Dysregulation of long non-coding (lncRNA) has been reported in various solid tumors. HOXA cluster antisense RNA 2 (HOXA-AS2) is a newly identified lncRNA with abnormal expression in several human malignancies. However, its prognostic value remains controversial. This meta-analysis synthesized available data to clarify the association between HOXA-AS2 expression levels and clinical prognosis in multiple cancers. Methods: Four public databases (Embase, PubMed, Web of Science, The Cochrane Library) were used to identify eligible studies. Hazard ratios (HRs) and odds ratios (ORs) with their 95% confidence intervals (CIs) were combined to assess the correlation of HOXA-AS2 expression with survival outcomes and clinicopathological features of cancer patients. Publication bias was measured using Begg's funnel plot and Egger's regression test, and the stability of the combined results was measured using sensitivity analysis. Additionally, multiple public databases were screened and extracted to validate the results of this meta-analysis. Results: The study included 20 studies, containing 1331 patients. The meta-analysis showed that the overexpression of HOXA-AS2 was associated with poor overall survival (HR = 2.06, 95% CI 1.58-2.69, p < 0.001). In addition, the high expression of HOXA-AS2 could forecast advanced tumor stage (OR = 3.89, 95% CI 2.90-5.21, p < 0.001), earlier lymph node metastasis (OR = 3.48, 95% CI 2.29-5.29, p < 0.001), larger tumor size (OR = 2.36, 95% CI 1.52-3.66, p < 0.001) and earlier distant metastasis (OR = 3.54, 95% CI 2.00-6.28, p < 0.001). However, other clinicopathological features, including age (OR = 1.09, 95% CI 0.86-1.38, p = 0.467), gender (OR = 0.92, 95% CI 0.72-1.18, p = 0.496), depth of invasion (OR = 2.13, 95% CI 0.77-5.90, p = 0.146) and differentiation (OR = 1.02, 95% CI 0.65-1.59, p = 0.945) were not significantly different from HOXA-AS2 expression. Conclusion: Our study showed that the overexpression of HOXA-AS2 was related to poor overall survival and clinicopathological features. HOXA-AS2 may serve as a potential prognostic indicator and therapeutic target for tumor treatment.

Dataset Information

Bioinformatics analysis for the role of CALR in human cancers.

Publications

Bioinformatics analysis for the role of CALR in human cancers.

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