biostudies-literatureChen Bthe Social Development Foundation of ZhenjiangNational Natural Science Foundation of ChinaNatural Science Foundation of Hunan ProvinceNatural Science Foundation of Jiangsu Province545https://www.ebi.ac.uk/biostudies/studies/S-EPMC8525017biostudies-literatureUnknown21(1)<h4>Background</h4>Papillary renal cell carcinoma (pRCC) ranks second in renal cell carcinoma and the prognosis of pRCC remains poor. Here, we aimed to screen and identify a novel prognostic cancer-related lncRNA signature in pRCC.<h4>Methods</h4>The RNA-seq profile and clinical feature of pRCC cases were downloaded from TCGA database. Significant cancer-related lncRNAs were obtained from the Immlnc database. Differentially expressed cancer-related lncRNAs (DECRLs) in pRCC were screened for further analysis. Cox regression report was implemented to identify prognostic cancer-related lncRNAs and establish a prognostic risk model, and ROC curve analysis was used to evaluate its precision. The correlation between RP11-63A11.1 and clinical characteristics was further analyzed. Finally, the expCancer cell internationalA novel prognostic cancer-related lncRNA signature in papillary renal cell carcinoma.PMC85250172019JJ40269SH2021033BK2021112381402100Dong DZou YHu WYao QChen BfalseA novel prognostic cancer-related lncRNA signature in papillary renal cell carcinoma.<h4>Background</h4>Papillary renal cell carcinoma (pRCC) ranks second in renal cell carcinoma and the prognosis of pRCC remains poor. Here, we aimed to screen and identify a novel prognostic cancer-related lncRNA signature in pRCC.<h4>Methods</h4>The RNA-seq profile and clinical feature of pRCC cases were downloaded from TCGA database. Significant cancer-related lncRNAs were obtained from the Immlnc database. Differentially expressed cancer-related lncRNAs (DECRLs) in pRCC were screened for further analysis. Cox regression report was implemented to identify prognostic cancer-related lncRNAs and establish a prognostic risk model, and ROC curve analysis was used to evaluate its precision. The correlation between RP11-63A11.1 and clinical characteristics was further analyzed. Finally, the exp2021-01-01T00:00:00Z2021 Oct2025-04-22T11:27:39.79Z2025-04-05T23:56:02.581ZS-EPMC85250173466332210.1186/s12935-021-02247-6