Ferroptosis-associated lncRNA prognostic signature predicts prognosis and immune response in clear cell renal cell carcinoma

Abstract

Clear cell Renal Cell Carcinoma (ccRCC), the most deadly and life-threatening tumor in the urinary system, has a dismal prognosis and a high risk of metastasizing. Regulation of ferroptosis is a prospective therapeutic target to eradicate malignant cells. Our objective was to seek ferroptosis-associated long non-coding RNAs (FALs) and developed a prediction signature for ccRCC. We extracted transcriptome data and clinical information from The Cancer Genome Atlas (TCGA) databases. Ferroptosis-associated genes (FAGs) were obtained from FerrDb database. A ferroptosis-associated lncRNA prognostic signature (FLPS) of ccRCC was generated utilizing univariate Cox regression, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression, sequentially, based on 8 lncRNAs (LINC00460, AC124854.1, AC084876.1, IGFL2-AS1, LINC00551, AC083967.1, AC073487.1, and LINC02446). The signature's independent predictive value for ccRCC was demonstrated using univariate and multivariate regression analysis (P < 0.05). Subsequently, by combining independent predictive factors, a prognostic nomogram was established. Immunity analysis proclaimed a striking difference in terms of cells, function, checkpoints, and ESTIMATE scores between low- and high-risk groups. Overall, the innovative signature of ferroptosis-associated signatures may have a considerable effect on the immune response and prognosis for ccRCC.

Construction of a five-disulfidptosis-related-lncRNA signature for predicting prognosis and immune activity in kidney renal clear cell carcinoma

“…In-depth studies have revealed that lncRNAs can either promote or suppress tumours by participating in gene signalling regulation and can serve as promising potential biomarkers [48][49][50]. In a study, eight ferroptosis-associated lncRNAs were used to construct a predictive model that accurately predicted the prognosis of KIRC and suggested treatment options [51]. However, the role of DRlncRNAs in KIRC remains elusive.…”

A Model to Predict Prognosis of Renal Cell Clear Cell Carcinoma Based on 3 Angiogenesis-related Long Non-coding RNAs

“…Compared to existing signatures including several lncRNAs (more than 6) [25,26], our 3-lncRNA model contains the fewer genes and should be easy to apply in the clinic. Different functional lncRNA models, specifically ferroptosis/cuproptosis-associated lncRNA signatures and tumor-infiltrating lymphocyte-related lncRNA models, have been reported to predict ccRCC prognosis [27][28][29]. However, these lncRNAs in models are closely related to immunotherapy and drug response but not to ccRCC prognosis.…”

Construction of five disulfidptosis-related lncRNA signature for predicting prognosis and immune activity in kidney renal clear cell carcinoma

“…Meanwhile, with the in-depth study of a large number of lncRNAs, it was found that lncRNAs can play cancer-promoting or cancer-suppressing roles in a variety of tumors, including KIRC, by participating in gene signaling regulation, and can serve as promising potential biomarkers [46][47][48]. Eight ferroptosisassociated lncRNAs were built into a predictive model that accurately predicted the prognosis of KIRC patients and supplied them with anti-cancer treatment options [49]. However, the role of DRlncRNAs in KIRC remains unknown.…”