Dynamic changes in TP53 mutated circulating tumor DNA predicts outcome of patients with high-grade ovarian carcinomas

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

Maria Kfoury

doi:10.1136/ijgc-2024-005581

Dynamic changes in TP53 mutated circulating tumor DNA predicts outcome of patients with high-grade ovarian carcinomas

Maria Kfoury · 2024-11-04

There is a lack of biomarkers to predict outcome following initial treatment in patients with high-grade ovarian cancer. We hypothesized that monitoring

Dynamic changes in TP53 mutated circulating tumor DNA predicts outcome of patients with high-grade ovarian carcinomas

Links

Journal

Institutions

Authors

Funding