Abstract A019: UALCAN Mobile app, an update to the cancer multi-omic data analysis application

Abstract Cancer is a major cause of death worldwide. Various genomic and proteomic alterations in cells results in initiation of cancer, disease progression, and tumor metastasis. Large scale molecular data has been generated recently that can help identify these molecular changes. These genomic, transcriptomic, proteomic and epigenetic data can be utilized to evaluate and identify cancer biomarkers and sub-class specific precision targets. In order to analyze the large scale data, user friendly tools are needed. We had earlier developed UALCAN, an integrative pan-cancer cancer data analysis platform that allows users to evaluate the expression of each genes, microRNAs and long-noncoding RNAs and identify changes between normal and cancer tissues. Previously, we have described the development and release of the UALCAN Mobile application (app) that provides cancer transcriptomic data from The Cancer Genome Atlas (TCGA) to evaluate gene expression based on cancer subtypes. Here, we describe the update to the UALCAN mobile, which now provides data analysis option for epigenetic changes due to DNA promoter methylation and Clinical Proteomic Tumor Analysis Consortium (CPTAC) cancer proteomic data. This app, which is suitable for tablets and mobile devices, provides access to large cancer molecular datasets at the fingertips of the researchers. To find changes in expression of causative genes and to identify biomarkers and therapeutic targets, app will be extremely valuable. The app is free and can be downloaded from both iOS/Apple and Android play store. Citation Format: Sooryanarayana Varambally, David Rubey, Darshan Shimoga Chandrashekar, Ahmedur Rahman Shovon, Gopi Chand Puli, Santhosh Kumar Karthikeyan, Upender Manne, Chad J. Creighton, Sidarth Kumar. UALCAN Mobile app, an update to the cancer multi-omic data analysis application [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr A019.

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Publication Details

Journal
Cancer Research
Published
2025-03-11
DOI
https://doi.org/10.1158/1538-7445.genfunc25-a019
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81
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article

Abstract A019: UALCAN Mobile app, an update to the cancer multi-omic data analysis application

Ahmedur Rahman Shovon, Santhosh Kumar Karthikeyan, Chad J. Creighton, Darshan S. Chandrashekar et al.
1 citations
Cancer Research
Bioinformatics and Genomic Networks
0.81
article

Abstract A019: UALCAN Mobile app, an update to the cancer multi-omic data analysis application

Ahmedur Rahman Shovon, Santhosh Kumar Karthikeyan, Chad J. Creighton, Darshan S. Chandrashekar, Upender Manne, Sooryanarayana Varambally, Gopi Chand Puli, S. Kumar
article en
1 citations

Abstract

Abstract Cancer is a major cause of death worldwide. Various genomic and proteomic alterations in cells results in initiation of cancer, disease progression, and tumor metastasis. Large scale molecular data has been generated recently that can help identify these molecular changes. These genomic, transcriptomic, proteomic and epigenetic data can be utilized to evaluate and identify cancer biomarkers and sub-class specific precision targets. In order to analyze the large scale data, user friendly tools are needed. We had earlier developed UALCAN, an integrative pan-cancer cancer data analysis platform that allows users to evaluate the expression of each genes, microRNAs and long-noncoding RNAs and identify changes between normal and cancer tissues. Previously, we have described the development and release of the UALCAN Mobile application (app) that provides cancer transcriptomic data from The Cancer Genome Atlas (TCGA) to evaluate gene expression based on cancer subtypes. Here, we describe the update to the UALCAN mobile, which now provides data analysis option for epigenetic changes due to DNA promoter methylation and Clinical Proteomic Tumor Analysis Consortium (CPTAC) cancer proteomic data. This app, which is suitable for tablets and mobile devices, provides access to large cancer molecular datasets at the fingertips of the researchers. To find changes in expression of causative genes and to identify biomarkers and therapeutic targets, app will be extremely valuable. The app is free and can be downloaded from both iOS/Apple and Android play store. Citation Format: Sooryanarayana Varambally, David Rubey, Darshan Shimoga Chandrashekar, Ahmedur Rahman Shovon, Gopi Chand Puli, Santhosh Kumar Karthikeyan, Upender Manne, Chad J. Creighton, Sidarth Kumar. UALCAN Mobile app, an update to the cancer multi-omic data analysis application [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr A019.

Cancer ResearchVol. 85(5_Supplement)
Baylor College of Medicine (US), University of Alabama at Birmingham (US), University of Illinois Chicago (US)
Openalex Percentile: Top 30%
Bioinformatics and Genomic Networks
0.81
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