# Stemness related lncRNAs signature for the prognosis and tumor immune microenvironment of ccRCC patients

## TL;DR

This study identifies a six-lncRNA signature linked to cancer stemness and immune environment in kidney cancer, which can predict patient outcomes.

## Contribution

A novel six-lncRNA signature is developed to predict prognosis and immune microenvironment in ccRCC.

## Key findings

- A six-lncRNA signature was identified that correlates with tumor immune microenvironment in ccRCC.
- The SRlncRNA signature effectively predicts the prognosis of ccRCC patients.
- The signature was validated using Kaplan-Meier curves and nomogram analysis.

## Abstract

Long non-coding RNAs (lncRNAs) and cancer stem cells (CSCs) are crucial for the growth, migration, recurrence, and medication resistance of tumors. However, the impact of lncRNAs related to stemness on the outcome and tumor immune microenvironment (TIME) in clear cell renal cell carcinoma (ccRCC) is still unclear. In this study, we aimed to predict the outcome and TIME of ccRCC by constructing a stem related lncRNAs (SRlncRNAs) signature. We firstly downloaded ccRCC patients’ clinical data and RNA sequencing data from UCSC and TCGA databases, and abtained the differentially expressed lncRNAs highly correlated with stem index in ccRCC through gene expression differential analysis and Pearson correlation analysis. Then, we selected suitable SRlncRNAs for constructing a prognostic signature of ccRCC patients by LASSO Cox regression. Further, we used nomogram and Kaplan Meier curves to evaluate the SRlncRNA signature for the prognose in ccRCC. At last, we used ssGSEA and GSVA to evaluate the correlation between the SRlncRNAs signature and TIME in ccRCC. Finally, We obtained a signtaure based on six SRlncRNAs, which are correlated with TIME and can effectively predict the ccRCC patients’ prognosis. The SRlncRNAs signature may be a noval prognostic indicator in ccRCC.