IMMUNOTAR - Integrative prioritization of cell surface targets for cancer immunotherapy.

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

SUBMITTER: Shraim R 

PROVIDER: S-EPMC11185603 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature