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Updated: Jan 12, 2026
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
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Leveraging oncology clinical case report data through the Cancer Knowledgebase (CKB)
Rewatee H Gokhale1, Cara M Statz1, Taofei Yin1
1Genomenon Inc, Ann Arbor, MI, USA.
Personalized Medicine
|November 3, 2025
Summary
Clinical case reports offer valuable oncology data. The Cancer Knowledgebase (CKB) organizes this data, enabling healthcare providers to identify targeted therapies for rare cancers and complex patient cases.
Area of Science:
- Oncology
- Bioinformatics
- Clinical Data Mining
Background:
- Clinical case reports in oncology contain rich patient data linking molecular alterations, tumor types, and treatment responses.
- Systematic organization of this clinical evidence is lacking, hindering its use in practice.
Purpose of the Study:
- To demonstrate the utility of the Cancer Knowledgebase (CKB) for interpreting oncology case report data.
- To showcase CKB's capability in organizing clinical evidence for healthcare providers.
Main Methods:
- Analysis of 5527 manually curated case reports within the CKB.
- Extraction of data on molecular profiles, therapies, indications, and patient responses.
Main Results:
- Efficacy evidence spans over 500 genes, 2800 molecular profiles, and 300 tumor types, including rare and pediatric cancers.
- Each case report is annotated with molecular profile, therapy, indication, and response.
Conclusions:
- CKB is a valuable resource for identifying treatment options for rare cancers and oncogenic variants.
- CKB aids in selecting therapies for patients with multiple treatment options or resistance to first-line therapy.
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