Investigator

Jiajie She

Joint Postdoctoral researcher · HKUST, Department of Ocean Science

JSJiajie She
Papers(1)
N6-methylandenosine-r…
Institutions(1)
Hong Kong University …

Papers

N6-methylandenosine-related lncRNAs have the prognostic predictive ability for patients with endometrial cancer

Endometrial carcinoma (EC) ranks as the fourth most common cancer among women, with increasing morbidity and mortality rates in recent years. Identifying reliable biomarkers for prognosis and therapeutic targets is crucial for improving the outcomes of EC patients. In this study, we identified 1560 m6A-related lncRNAs using Pearson correlation coefficient based on the cancer genome atlas datasets and GENCODE annotation. Through univariate Cox regression analysis, 187 m6A-related lncRNAs were found to be related to EC prognosis. Using least absolute shrinkage and selection operator Cox analysis, we constructed an m6A-related lncRNA prognostic signature (m6A-LPS) comprising 12 m6A-related lncRNAs. The m6A-LPS demonstrated robust prognostic ability, and the nomogram incorporating m6A-LPS, age, and pathological grade effectively predicted overall survival of EC patients. Furthermore, EC patients in the low-risk group exhibited higher immune cell infiltration and lower tumor purity. A competing endogenous RNA (ceRNA) network was constructed to elucidate the potential function of these m6A-related prognostic lncRNAs. Our study establishes the m6A-LPS as a stable and reliable prognostic tool for EC patients. These findings may contribute to the identification of novel biomarkers and therapeutic targets, offering insights into the molecular mechanisms underlying EC pathogenesis.

15Works
1Papers

Positions

2024–

Joint Postdoctoral researcher

HKUST · Department of Ocean Science

2020–

Postdoctoral researcher

Shenzhen Second People's Hospital · Reproductive Medicine Centre

Education

2020

Ph.D

China Agricultural University · College of Biological Sciences

2015

Undergraduate

Chongqing University of Posts and Telecommunications · College of Biological Sciences

Country

CN

Keywords
BioinformaticsPhylogenomicsdeep-sea evolution