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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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UALCAN Mobile, an app for cancer proteogenomic data analysis.

David Rubey¹, Darshan S Chandrashekar¹, Ahmedur Rahman Shovon²

¹University of Alabama at Birmingham.

Research Square

|December 8, 2025

Summary

The UALCAN mobile app offers easy access to cancer molecular data for researchers. It helps identify potential cancer biomarkers and therapeutic targets by analyzing gene expression and proteomic data on the go.

Keywords:

app cancer data analysis gene expression

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Published on: October 18, 2013

Area of Science:

Oncology
Bioinformatics
Genomics

Background:

Cancer involves complex genomic and proteomic alterations.
Large-scale molecular data (genomics, transcriptomics) are crucial for biomarker discovery.
User-friendly tools are needed for accessible analysis of cancer data.

Purpose of the Study:

To develop the UALCAN Mobile application for on-the-go cancer data analysis.
To provide researchers with easy access to The Cancer Genome Atlas (TCGA) transcriptomic data.
To facilitate the identification of cancer biomarkers and therapeutic targets.

Main Methods:

The UALCAN Mobile app integrates TCGA transcriptomic data.
It analyzes protein-coding gene expression across various cancer stratifications.
Includes analysis of DNA promoter methylation and Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomic data.

Main Results:

The app provides access to extensive cancer molecular datasets.
Enables evaluation of gene expression based on stage, grade, race, gender, and molecular subtypes.
Facilitates discovery of potential biomarkers and therapeutic targets through data analysis.

Conclusions:

The UALCAN Mobile app is a valuable tool for cancer researchers.
It democratizes access to complex cancer molecular data.
Supports biomarker and therapeutic target identification for over 30 cancer types.