Kidney renal clear cell carcinoma (KIRC) represents a significant proportion of renal cell carcinomas and is characterized by high aggressiveness and poor prognosis despite advancements in immunotherapy. Disulfidptosis, a novel cell death pathway, has emerged as a critical mechanism in various cellular processes, including cancer. This study leverages machine learning to identify disulfidptosis-related long noncoding RNAs (DRlncRNAs) as potential prognostic biomarkers in KIRC, offering new insights into tumor pathogenesis and treatment avenues.
Our analysis of data from The Cancer Genome Atlas (TCGA) led to the identification of 431 DRlncRNAs correlated with disulfidptosis-related genes. Five key DRlncRNAs (SPINT1-AS1, AL161782.1, OVCH1-AS1, AC131009.3, and AC108673.3) were used to develop a prognostic model that effectively distinguished between low- and high-risk patients with significant differences in overall survival and progression-free survival. The low-risk group had a favorable prognosis associated with a protective immune microenvironment and a better response to targeted drugs. Conversely, the high-risk group displayed aggressive tumor features and poor immunotherapy outcomes. Validation through qRT‒PCR confirmed the differential expression of these DRlncRNAs in KIRC cells compared to normal kidney cells, underscoring their potential functional significance in tumor biology.
This study established a robust link between disulfidptosis-related lncRNAs and patient prognosis in KIRC, underscoring their potential as prognostic biomarkers and therapeutic targets. The differential expression of these lncRNAs in tumor versus normal tissue further highlights their relevance in KIRC pathogenesis. The predictive model not only enhances our understanding of KIRC biology but also provides a novel stratification tool for precision medicine approaches, improving treatment personalization and outcomes in KIRC patients.
Biology direct. 2024 Aug 22*** epublish ***
Kangjie Xu, Dongling Li, Kangkang Ji, Yanhua Zhang, Minglei Zhang, Hai Zhou, Xuefeng Hou, Jian Jiang, Zihang Zhang, Hua Dai, Hang Sun
Central Laboratory Department, Binhai County People's Hospital, Clinical Medical College of Yangzhou University, Yancheng, China., Nephrology Department, Binhai County People's Hospital, Yancheng, China., Obstetrics and Gynecology Department, Binhai County People's Hospital, Yancheng, China., Oncology Department, Binhai County People's Hospital, Yancheng, China., Science and Education Department, Binhai County People's Hospital, Yancheng, China., Pathology Department, Binhai County People's Hospital, Yancheng, China., Jiangsu Key Laboratory of Experimental & Translational Noncoding RNA Research, Yangzhou University Clinical Medical College, Yangzhou, China., Urology Department, Binhai County People's Hospital, Yancheng, China. .