已发表论文

免疫组织化学分析 PGC-1α 和 ERRα 的表达揭示了其在人类卵巢癌中的临床意义

 

Authors Huang X, Ruan G, Liu G, Gao Y, Sun P

Received 23 October 2020

Accepted for publication 3 December 2020

Published 22 December 2020 Volume 2020:13 Pages 13055—13062

DOI https://doi.org/10.2147/OTT.S288332

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Prof. Dr. Takuya Aoki

Purpose: Peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) and estrogen-related receptor alpha (ERRα) play a vital role in various human cancers. The purpose of this study was to investigate whether the PGC-1α/ERRα axis could serve as an effective prognostic marker in ovarian cancer (OC).
Patients and Methods: We investigated the expression of both PGC-1α and ERRα in 42 ovarian cancer and 31 noncancerous ovarian samples by immunohistochemistry (IHC). The relationship between the expression of PGC-1α and ERRα in OC and the clinical characteristics of patients was evaluated. In addition, data from the Human Protein Atlas (HPA) database were collected to validate the prognostic significance of PGC-1α and ERRα mRNA expression in OC.
Results: PGC-1α and ERRα showed notably higher expression in OC tissues than in noncancerous tissues (P=0.0059, P=0.002). Moreover, in patients with OC, high ERRα and PGC-1α/ERRα expression significantly correlated with tumor differentiation (P=0.027; P=0.04), lymph node status (P=0.023; P=0.021), CA125 (P=0.036; P=0.021), and HE4 (P=0.021; P=0.05), while high PGC-1α expression was only significantly associated with tumor differentiation (P=0.029). The combined analysis of high PGC-1α and ERRα expression revealed a tendency towards poor cancer-specific survival (P=0.1276).
Conclusion: PGC-1α and ERRα are overexpressed in OC and might be significant prognostic factors for this cancer.
Keywords: prognostic significance, estrogen-related receptor alpha, immunohistochemistry, ovarian malignance, peroxisome proliferator-activated receptor gamma coactivator 1-alpha