UALCAN Mobile, an app for cancer proteogenomic data analysis.

Area of Science:

• Oncology
• Bioinformatics
• Genomics

Background:

• Cancer involves complex genomic and proteomic alterations during progression and metastasis.
• Large-scale molecular data (genomics, transcriptomics) offers potential for biomarker and target identification.
• User-friendly tools are needed for accessible analysis and visualization of cancer data for researchers without programming skills.

Purpose of the Study:

• To introduce the UALCAN Mobile application, an extension of the UALCAN platform.
• To provide mobile access to comprehensive cancer molecular datasets for biomarker and therapeutic target discovery.

Main Methods:

• Development of a mobile application integrating The Cancer Genome Atlas (TCGA) transcriptomic data.
• Inclusion of data analysis options for DNA promoter methylation and Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomic data.
• Stratification of gene expression analysis by cancer stage, grade, race, gender, and molecular subtypes across over 30 cancer types.

Main Results:

• The UALCAN Mobile app provides on-the-go access to extensive cancer molecular datasets.
• Enables evaluation of protein-coding gene expression and epigenetic changes.
• Facilitates identification of potential biomarkers and therapeutic targets through data stratification.

Conclusions:

• The UALCAN Mobile app is a valuable tool for cancer researchers, offering accessible data analysis for biomarker and therapeutic target identification.
• The app supports data-driven discoveries by providing insights into gene and protein expression changes.
• Available on iOS and Android, the app has seen significant initial adoption.