ncStem

ncStem catalogs curated and predicted non-coding RNAs (ncRNAs) associated with cancer stemness to support research on cancer initiation, progression, and therapeutic targeting.

Key Features:

• Curated ncRNA Entries: ncStem contains 645 experimentally verified entries, including 159 long non-coding RNAs (lncRNAs), 254 microRNAs (miRNAs), 39 circular RNAs (circRNAs), and 5 other ncRNAs, with detailed information including ncRNA name, identifier, disease, reference, expression direction, tissue, and species.
• Predicted ncRNAs: ncStem provides computationally predicted cancer stemness-associated ncRNAs for 33 TCGA cancers, including 11,132 lncRNAs and 972 miRNAs.
• Functional Enrichment Analysis: ncStem provides tools for functional enrichment analysis of cancer stemness-associated ncRNAs.
• Survival Analysis: ncStem provides tools for survival analysis of cancer stemness-associated ncRNAs.
• Cell Location Interrogation: ncStem provides tools for cell location interrogation of cancer stemness-associated ncRNAs.

Scientific Applications:

• Cancer Stemness Research: ncStem facilitates research on cancer stemness by providing a comprehensive resource of experimentally verified and predicted ncRNAs associated with cancer stemness.
• Therapeutic Target Discovery: ncStem offers potential targets for cancer treatment by identifying ncRNAs involved in cancer stemness regulation.
• TCGA Cancer Analysis: ncStem enables investigation of cancer stemness-associated ncRNAs across 33 TCGA cancer types through predicted ncRNA data.

Methodology:

Predicted cancer stemness-associated ncRNAs were prioritized using the random walk with restart (RWR) algorithm based on regulatory and co-expression networks.