Erratum: Identification and verification of Hsp90-beta as a potential serum biomarker for lung cancer.
Year: 2014
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Hsp90-beta was investigated as prognostic factor because of its apparent association with tumorigenesis. The aim of this study was to investigate the expression of Hsp90-beta in lung cancer patients, to analyze the relationship with respect to the clinicopathological features and to assess whether Hsp90-beta as a potential serum marker for lung cancer. METHODS: Expression of Hsp90-beta was examined using immunohistochemistry, in-situ hybridization, western blot and enzyme-linked immunosorbent assay. Sensitivities and specificities for Hsp90-beta serum test were determined using receiver operator characteristic curve and cutoff was defined based on 95% and 85% sensitivities. RESULTS: Lung cancer tissues exhibited higher expression of Hsp90-beta than the normal tissues (P < 0.05) and the serum Hsp90-beta of lung cancer patients also exhibited higher level than control groups (P < 0.05). Moreover, increased serum Hsp90-beta was significantly associated with the pathological grade and clinical stage of lung cancer patients (P < 0.05). Using receiver operator characteristic curve analysis, the cutoffs for distinguishing lung cancer from normal and benign groups were 1.155 and 1.158 ng/ml respectively. The sensitivities of Hsp90-beta for distinguishing lung cancer from normal and benign groups were 98.77% and 95.9%, and specificities were 88.33% and 72.7%. CONCLUSION: Up-regulation of serum Hsp90-beta was associated with pathological grade and clinical stage of lung cancer patients, which indicated that it could be considered molecular biomarker for diagnosis and prognosis of lung cancer.
Source: Europe PMC (PubMed Central)
Authors: Biaoxue Rong, Chongchong Zhao, Hua Liu, Zongjuan Ming, Xiguang Cai, Wenlong Gao, Shuanying Yang
Language: English
Topic: Lung Cancer Research Studies
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W331869336