A novel defined risk signature of endoplasmic reticulum stress-related genes for predicting the prognosis and immune infiltration status of ovarian cancer.
- Author:
Jiahang MO
1
;
Shunyi RUAN
1
;
Baicai YANG
1
;
Yunfeng JIN
1
;
Keyi LIU
1
;
Xukai LUO
1
;
Hua JIANG
2
Author Information
- Publication Type:Journal Article
- Keywords: Endoplasmic reticulum (ER) stress; Immune infiltration; Ovarian cancer (OvCa); Prognosis; Risk signature
- MeSH: Humans; Female; Ovarian Neoplasms/genetics*; Cell Proliferation; Cytokines; Endoplasmic Reticulum Stress/genetics*
- From: Journal of Zhejiang University. Science. B 2023;24(1):64-77
- CountryChina
- Language:English
- Abstract: Endoplasmic reticulum (ER) stress, as an emerging hallmark feature of cancer, has a considerable impact on cell proliferation, metastasis, invasion, and chemotherapy resistance. Ovarian cancer (OvCa) is one of the leading causes of cancer-related mortality across the world due to the late stage of disease at diagnosis. Studies have explored the influence of ER stress on OvCa in recent years, while the predictive role of ER stress-related genes in OvCa prognosis remains unexplored. Here, we enrolled 552 cases of ER stress-related genes involved in OvCa from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts for the screening of prognosis-related genes. The least absolute shrinkage and selection operator (LASSO) regression was applied to establish an ER stress-related risk signature based on the TCGA cohort. A seven-gene signature revealed a favorable predictive efficacy for the TCGA, International Cancer Genome Consortium (ICGC), and another GEO cohort (P<0.001, P<0.001, and P=0.04, respectively). Moreover, functional annotation indicated that this signature was enriched in cellular response and senescence, cytokines interaction, as well as multiple immune-associated terms. The immune infiltration profiles further delineated an immunologic unresponsive status in the high-risk group. In conclusion, ER stress-related genes are vital factors predicting the prognosis of OvCa, and possess great application potential in the clinic.
