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.

Plos One
|December 15, 2021
PubMed

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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