Prognosis biomarker and potential therapeutic target CRIP2 associated with radiosensitivity in NSCLC cells.

Abstract

Radiotherapy plays a major role in non-small cell lung cancer (NSCLC) treatment. The curative efficacy of advanced NSCLC is unsatisfactory because of its radioresistance to conventional radiotherapy. The biomarkers which can be used to diagnose radiosensitivity or predict for prognosis are beneficial in promoting curative effects. In this study, NSCLC cell lines with acquired radioresistance to X-rays were obtained through fractionated irradiation. The differentially expressed proteins (DEPs) between the self-established radioresistant NSCLC cell line A549-R11 and control (A549-CK) were measured by proteomic analysis. Among the detected DEPs, CRIP2, ARHGDIB, and PADI3 were validated to be up-regulated in radioresistant cells, in mRNA and protein levels. Further analysis of bioinformatics deciphered that CRIP2, as a potential biomarker for diagnosis and a key biomarker for prediction of prognosis, may impact the X-ray radiosensitivity of NSCLC by regulating the occurrence of apoptosis and cell cycle arrest; as such, it may serve as a potent therapeutic target to facilitate NSCLC radiotherapy. CRIP2 and other DEPs may shed new light on the recognition of complex factors associated with radiation-responsiveness and finally be beneficial in the advancement of personalized therapies and precision medical treatment.

• Authors: Feifei Li, Zhitong Bing, Weiqiang Chen, Fei Ye, Yan Liu, Lan Ding, Xiaodong Jin
• Journal: Biochemical and biophysical research communications (Biochem Biophys Res Commun) Vol. 584 Pg. 73-79 (12 20 2021) ISSN: 1090-2104 [Electronic] United States
• PMID: 34773852 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2021 Elsevier Inc. All rights reserved.

Chemical References

• Adaptor Proteins, Signal Transducing
• Biomarkers, Tumor
• CRIP2 protein, human
• LIM Domain Proteins
• RNA, Messenger

Topics

• A549 Cells
• Adaptor Proteins, Signal Transducing (genetics, metabolism)
• Apoptosis (genetics, radiation effects)
• Biomarkers, Tumor (genetics, metabolism)
• Carcinoma, Non-Small-Cell Lung (diagnosis, genetics, radiotherapy)
• Gene Expression Regulation, Neoplastic (radiation effects)
• Humans
• Kaplan-Meier Estimate
• LIM Domain Proteins (genetics, metabolism)
• Lung Neoplasms (diagnosis, genetics, radiotherapy)
• Prognosis
• Proteomics (methods)
• RNA, Messenger (genetics, metabolism)
• ROC Curve
• Radiation Tolerance (genetics)
• X-Rays