ArticlePeerJ2026
Nicotinamide metabolism-related signature and lncRNA regulatory network in kidney renal clear cell carcinoma.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Not a Messenger, but Lots to Say: New Insights on Long Noncoding RNAs in the Kidney.Acta physiologica (Oxford, England) · 2026Article
- Integrative analysis identifies a glycosylation-related lncRNA signature associated with prognosis in kidney renal clear cell carcinoma.Translational andrology and urology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Renal carcinoma ranks among the most lethal cancers, primarily attributed to its atypical symptoms and high metastatic potential. The metabolism of nicotinamide (NAM) plays a significant role in the progression of various tumors. However, investigations into the impact of the NAM metabolism-related signature (NMRS) in kidney renal clear cell carcinoma (KIRC) remain insufficient. Clinical and RNA sequencing data (RNA-seq) from 541 KIRC tissues and 72 adjacent normal tissues were extracted from TCGA. NAM metabolism-related genes (NMRGs) were identified through the Molecular Signatures Database. Cox regression analyses (univariate/multivariate) were conducted to develop NMRS. Time-dependent ROC curve analysis showed that this method had good accuracy in predicting 1-year (AUC = 0.691), 3-year (AUC = 0.749), and 5-year (AUC = 0.764) survival. The Receiver Operating Characteristic (ROC) curve from the external RECA-EU dataset (AUC = 0.682) highlights the accurate prognostic assessment of the NMRS. Overall survival (OS) rates across distinct risk groups were compared using KM analysis. The Cox proportional hazards model assessed the influence of clinicopathological factors and risk scores on survival outcomes (HR = 1.437, 95% CI [1.232-1.676];
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Registered trials
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