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Researchers can now explore prognostic mRNA biomarkers across 18 cancer types using PROGgene, a comprehensive web tool. This resource accelerates the discovery of potential cancer biomarkers by analyzing publicly available data.

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Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Prognostic messenger RNA (mRNA) biomarkers have been identified for numerous cancer types.
  • Data from these studies are publicly archived, offering extensive resources for analysis.
  • These datasets can be leveraged to investigate mRNA's prognostic implications across diverse cancers and patient subgroups.

Purpose of the Study:

  • To develop a user-friendly web application for investigating the prognostic implications of mRNA biomarkers in various cancers.
  • To create a comprehensive resource for survival analysis by compiling data from public repositories.

Main Methods:

  • Data were collected from public repositories including Gene Expression Omnibus (GEO), EBI ArrayExpress, and The Cancer Genome Atlas (TCGA).
  • A web application, PROGgene, was developed to facilitate survival analysis.
  • The tool integrates 64 patient series across 18 cancer types.

Main Results:

  • PROGgene offers the most extensive resource for survival analysis currently available.
  • The application provides a platform for exploring prognostic mRNA biomarkers.

Conclusions:

  • PROGgene serves as a hypothesis-generation tool for identifying potential prognostic mRNA biomarkers.
  • The web application's simplicity aims to accelerate biomarker discovery in cancer research.
  • Results from PROGgene can indicate the disease-specific prognostic value of biomarkers.