In the context of cancer, HPO provides a systematic framework for describing tumor characteristics, patient symptoms, and other associated phenotypes. This standardization is crucial for several reasons: 1. Clinical Diagnosis: It aids clinicians in accurately diagnosing different types of cancers by providing a common language. 2. Research: Researchers can use HPO terms to correlate phenotypic data with genetic mutations, thus identifying potential biomarkers and therapeutic targets. 3. Data Sharing: A standardized vocabulary allows for effective data sharing and comparison across different databases, studies, and institutions.
