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EPPK1 作为 I 型子宫内膜癌的预后生物标志物及其与免疫浸润的相关性
Authors Liu L, Yuan S , Yao S, Cao W , Wang L
Received 16 November 2023
Accepted for publication 19 April 2024
Published 29 April 2024 Volume 2024:17 Pages 1677—1694
DOI https://doi.org/10.2147/IJGM.S449986
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Scott Fraser
Lu Liu,1 Shuang Yuan,1 Shouheng Yao,1 Wenjiao Cao,1,2 Lihua Wang1
1The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, People’s Republic of China; 2Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, 200030, People’s Republic of China
Correspondence: Lihua Wang; Wenjiao Cao, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910, Hengshan Road, Xuhui District, Shanghai, 200030, People’s Republic of China, Tel +86-21-18017316018, Fax +86-21-64073896, Email drwanglh0420@163.com; cwj1479@163.com
Purpose: Approximately 20% of patients with type I endometrial cancer (EC) of the uterus experience recurrence and metastasis. However, existing data do not provide sufficient evidence for the utility of protein levels as prognostic biomarkers in type I EC. This study aims to determine whether epiplakin1 (EPPK1) and progesterone receptor (PR) play a role in the recurrence and metastasis of type I EC.
Methods: Following the Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK) for assessing the quality of biomarker research results, a retrospective analysis was conducted on clinical information and tissue samples of type I EC patients. Protein expression data and clinical data for type I EC were downloaded from The Cancer Proteome Atlas (TCPA) database. We utilized the Kaplan-Meier (K-M) method and Cox proportional hazards regression analyses to evaluate whether epiplakin1 (EPPK1), progesterone receptor (PR) and certain clinical parameters can serve as independent prognostic factors. The Immune Cell Abundance Identifier (ImmuCellAI) and Cancer Immunome Atlas (TCIA) were employed to predict responses to immunotherapy. Immunohistochemistry was carried out to assess the expression of EPPK1 in type I EC.
Results: Type I EC patients with high EPPK1 and low PR expression had higher International Federation of Gynecology and Obstetrics (FIGO) stage, recurrence, and metastasis rates. Furthermore, EPPK1 was identified as an independent prognostic factor, and low expression of EPPK1 was predominantly observed in the POLE ultramutated (POLEmut) group, indicating a favorable prognosis. Additionally, the high EPPK1 expression group had a lower Immune Prognostic Score (IPS), suggesting that the high-expression group may not benefit from immune checkpoint inhibitors.
Conclusion: High expression of EPPK1 is an independent prognostic factor in type I EC patients with low PR expression. It can identify a subgroup of patients at high risk of recurrence. A more aggressive treatment approach is recommended for these patients.
Keywords: type I endometrial cancer, progesterone receptor, epiplakin1, prognostic biomarker, immunotherapy