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Updated: Oct 10, 2025

Using CRISPR/Cas9 Gene Editing to Investigate the Oncogenic Activity of Mutant Calreticulin in Cytokine Dependent Hematopoietic Cells
Published on: January 5, 2018
Bioinformatics analysis for the role of CALR in human cancers
Yijun Li1, Xiaoxu Liu1, Heyan Chen1
1Departments of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
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.
Insights
The study investigated Calreticulin (CALR) in various cancers, finding its expression linked to relapse-free survival (RFS). CALR shows potential as a prognostic biomarker and therapeutic target for cancer immunotherapy.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Cancer poses a significant global health challenge with limited traditional treatment efficacy.
- Novel therapeutic targets are crucial for improving cancer treatment outcomes.
- The role of Calreticulin (CALR) in pan-cancer analysis remains underexplored.
Purpose of the Study:
- To comprehensively analyze Calreticulin (CALR) expression across various cancers.
- To evaluate CALR as a potential therapeutic target and survival biomarker.
- To investigate the relationship between CALR and tumor-infiltrating immune cells.
Main Methods:
- Utilized multiple bioinformatics databases (GeneCards, UALCAN, GEPIA, etc.) for data collection and analysis.
- Examined CALR expression in normal tissues and diverse tumor types and stages.
- Performed in vitro experiments to verify CALR expression in breast cancer cell lines.
Main Results:
- CALR expression levels were associated with relapse-free survival (RFS) in pan-cancer analysis.
- CALR mutations were frequently observed in various tumor types.
- CALR demonstrated interactions with other genes and proteins, and showed correlations with immune cell infiltration.
Conclusions:
- Calreticulin (CALR) can serve as a valuable biomarker for predicting cancer patient prognosis.
- CALR presents a promising target for molecular and immunotherapies in cancer treatment.
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