M3Cs

M3Cs catalogs published microRNA (miRNA) research relevant to 16 pediatric cancer diseases to consolidate evidence for clinical and preclinical investigations.


Key Features:

  • Curated Collection: Aggregates 538 miRNAs from 268 clinical-domain publications and 7 miRNAs from 5 publications that span both clinical and drug domains.
  • Data-driven Clinical Significance: Emphasizes clinical implications of reported miRNAs across 16 pediatric cancer diseases.
  • Data-driven Human Pediatric Cell Line Models: Focuses on studies using pediatric cell line models to investigate miRNA roles in cancer biology and therapeutic response.
  • Comprehensive Cell Line Data: Includes 538 miRNAs from 1,268 cell-line publications and 211 miRNAs from 177 publications intersecting with drug research.
  • Development Phases: Incorporates literature mining (external database searches and rigorous screening), data extraction, curation, and annotation.
  • Translational Bioinformatics Pathway: Facilitates translation of miRNA research into clinical practice and drug discovery to support hypothesis generation and policy development.

Scientific Applications:

  • Clinical Significance: Aggregated miRNA evidence supports evaluation of miRNAs as biomarkers or therapeutic targets in pediatric oncology.
  • Drug Discovery: Highlights miRNAs involved in drug response and intersections between cell line and drug-domain studies to inform target identification.
  • Health Informatics: Provides curated miRNA evidence to inform healthcare decision-making and policy formulation related to pediatric cancer.

Methodology:

Literature mining via external database searches and rigorous screening, followed by data extraction, curation, and annotation.

Topics

Details

Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
6/28/2022
Last Updated:
11/24/2024

Operations

Publications

Rashed WM, Adel F, Rezk MA, Basiouny L, Rezk AA, Abdel-Razek AH. MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer. Database. 2022;2022. doi:10.1093/database/baac013. PMID:35303059. PMCID:PMC9216566.