Unraveling the biological functions of UCEC: Insights from a prognostic signature model

Qi Zhu; Wulin Shan; Xiaoyu Li; Yao Chen; Xu Huang; Bairong Xia; Liting Qian

doi:10.1016/j.compbiolchem.2024.108219

Unraveling the biological functions of UCEC: Insights from a prognostic signature model

Comput Biol Chem. 2024 Oct 11:113:108219. doi: 10.1016/j.compbiolchem.2024.108219. Online ahead of print.

Authors

Qi Zhu¹, Wulin Shan¹, Xiaoyu Li¹, Yao Chen², Xu Huang¹, Bairong Xia¹, Liting Qian³

Affiliations

¹ The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui 230031, China.
² Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233030, China.
³ The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui 230031, China. Electronic address: money2004@sina.com.

PMID: 39476483
DOI: 10.1016/j.compbiolchem.2024.108219

Abstract

Background: Uterine corpus endometrial carcinoma (UCEC) is a prevalent gynecological tumor with a bleak prognosis. Anomalous glycosylation plays a pivotal role in tumorigenesis. Currently, there is a lack of prognostic signatures based on glycosylation-related genes for UCEC. Thus, our research aims to construct a predictive model and validate the correlation between relevant genes and biological functions.

Methods: Using the TCGA database, we developed prognostic models and explored their relationships with survival outcomes. We further selected key genes to verify their expression in tissues and assess their impact on cellular behavior.

Results: The clinical prognosis of the high-risk group was significantly worse than that of the low-risk group. The nomogram model accurately predicted UCEC patient prognosis. Additionally, we identified OLFML1 as a unique signature gene that can inhibit UCEC progression and reduce radiation resistance in vitro.

Conclusions: Our model, which is based on glycosylation-related genes in UCEC, effectively identifies high-risk patients and provides valuable prognostic information. In addition, OLFML1 acts as a tumor suppressor in UCEC and enhances radiosensitivity, suggesting a new potential target for improving therapeutic efficacy.

Keywords: Endometrial cancer; OLFML1; Prognostic model; Radiation resistance.