Repository of Research and Investigative Information

Repository of Research and Investigative Information

Zabol University of Medical Sciences

Value of HSP90alpha in Lung Cancer Diagnosis and Recurrence Prediction: A Cohort Study

(2021) Value of HSP90alpha in Lung Cancer Diagnosis and Recurrence Prediction: A Cohort Study. Oncology research and treatment. pp. 1-6. ISSN 2296-5262 (Electronic) 2296-5270 (Linking)

Full text not available from this repository.

Official URL: https://www.ncbi.nlm.nih.gov/pubmed/34547748

Abstract

PURPOSE: In the current study, we tried to analyze the diagnostic value of HSP90alpha expression during the course of disease in patients treated with and without surgery. METHODS: Three hundred and twelve patients with lung cancer who referred to Qinhuangdao First Hospital from June 2016 to March 2021 were selected as the experimental group and 160 healthy individuals subjected as the control group in this cohort study. The ELISA method was used to detect the expression level of plasma HSP90alpha. RESULTS: We observed significant differences in the level of HSP90alpha in pathologic type, differentiation degree, stage, and presence of lung, liver, and bone metastasis; HSP90alpha was significantly higher in non-small cell lung carcinoma in comparison with small cell lung carcinoma, especially in lung adenocarcinoma. Our results demonstrated that HSP90alpha at 71.45 ng/mL had a sensitivity of 66.3 and a specificity of 95.0 for diagnosing lung cancer. Also, we observed that the HSP90alpha expression was significantly increased prior to lung cancer relapse in patients treated with chemoradiotherapy and surgery. CONCLUSION: Serum level of plasma HSP90alpha could be a reliable biomarker in diagnosing lung cancer and its subtypes and might be a valid biomarker for predicting lung cancer relapse in patients treated with chemoradiotherapy and surgery.

Item Type: Article
Keywords: Biomarker Diagnostic accuracy Heat shock protein 90alpha Lung cancer
Divisions:
Page Range: pp. 1-6
Journal or Publication Title: Oncology research and treatment
Identification Number: 10.1159/000519277
ISSN: 2296-5262 (Electronic) 2296-5270 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.zbmu.ac.ir/id/eprint/3954

Actions (login required)

View Item View Item