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Preprint
IMMUNOTAR - Integrative prioritization of cell surface targets for cancer immunotherapy
bioRxiv : the preprint server for biology
06 Jun 2024
Abstract
Cancer remains a leading cause of mortality globally. Recent improvements in survival have been facilitated by the development of less toxic immunotherapies; however, identifying targets for immunotherapies remains a challenge in the field. To address this challenge, we developed IMMUNOTAR, a computational tool that systematically prioritizes and identifies candidate immunotherapeutic targets. IMMUNOTAR integrates user-provided RNA-sequencing or proteomics data with quantitative features extracted from publicly available databases based on predefined optimal immunotherapeutic target criteria and quantitatively prioritizes potential surface protein targets. We demonstrate the utility and flexibility of IMMUNOTAR using three distinct datasets, validating its effectiveness in identifying both known and new potential immunotherapeutic targets within the analyzed cancer phenotypes. Overall, IMMUNOTAR enables the compilation of data from multiple sources into a unified platform, allowing users to simultaneously evaluate surface proteins across diverse criteria. By streamlining target identification, IMMUNOTAR empowers researchers to efficiently allocate resources and accelerate immunotherapy development.Cancer remains a leading cause of mortality globally. Recent improvements in survival have been facilitated by the development of less toxic immunotherapies; however, identifying targets for immunotherapies remains a challenge in the field. To address this challenge, we developed IMMUNOTAR, a computational tool that systematically prioritizes and identifies candidate immunotherapeutic targets. IMMUNOTAR integrates user-provided RNA-sequencing or proteomics data with quantitative features extracted from publicly available databases based on predefined optimal immunotherapeutic target criteria and quantitatively prioritizes potential surface protein targets. We demonstrate the utility and flexibility of IMMUNOTAR using three distinct datasets, validating its effectiveness in identifying both known and new potential immunotherapeutic targets within the analyzed cancer phenotypes. Overall, IMMUNOTAR enables the compilation of data from multiple sources into a unified platform, allowing users to simultaneously evaluate surface proteins across diverse criteria. By streamlining target identification, IMMUNOTAR empowers researchers to efficiently allocate resources and accelerate immunotherapy development.
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Details
- Title
- IMMUNOTAR - Integrative prioritization of cell surface targets for cancer immunotherapy
- Creators
- Rawan Shraim - Children's Hospital of PhiladelphiaBrian MooneyKarina L Conkrite - Children's Hospital of PhiladelphiaAmber K Weiner - Children's Hospital of PhiladelphiaGregg B Morin - BC Cancer AgencyPoul H SorensenJohn M Maris - Children's Hospital of PhiladelphiaSharon J Diskin - Children's Hospital of PhiladelphiaAhmet Sacan - Drexel University
- Publication Details
- bioRxiv : the preprint server for biology
- Publisher
- American Physical Society (APS)
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Other Identifier
- 991021888115704721