Diagnostic and prognostic value of HSPD1 in oesophageal cancer Online publication date: Wed, 13-Jul-2022
by Xin Chen; Can Luo; Yuting Bai; Xi Zhou; Lei Xu; Xiaolan Guo; Qing Wu; Xiaowu Zhong
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 26, No. 1/2, 2021
Abstract: HSPD1 is a potential biomarker in many cancers. However, its role in oesophageal cancer (ESCA) is poorly understood. Among patients with ESCA, a high HSPD1 expression is linked to a poor outcome. As suggested by Cox analysis results combined with ROC (receiver operating characteristic) graph, HSPD1 is an independent outcome predictor for the ESCA population and had a diagnostic value. Moreover, HSPD1 is linked to immunofiltration, genetic alteration and methylation in ESCA, which is also involved in biological processes, such as chaperonin-containing T-complex, PI3K/Akt signalling pathway, and thyroid hormone signalling pathway. According to a final analysis of drug susceptibility, low HSPD1 expression is correlated with resistance to 23 drugs. This phenomenon provided new insights for the probable predictor role of HSPD1 in the ESCA diagnosis and prognosis.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com