Myeloid cell networks govern re-establishment of original immune landscapes in recurrent ovarian cancer

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.

Denarda Dangaj Laniti

doi:10.1016/j.ccell.2025.07.005

Immunotherapy has shown limited success in recurrent ovarian cancer (OC), with prognostic insights largely derived from treatment-naive tumors. We analyzed 697 tumor samples (566 primary and 131 recurrent) from 595 OC patients across five independent cohorts, capturing tumor-infiltrating lymphocytes (TILs) heterogeneity and identifying four immune phenotypes linked to prognosis and TIL:myeloid networks driving malignant progression. We found that in preclinical mouse models, mirroring inflamed human OCs, the recurrent Brca1

Myeloid cell networks govern re-establishment of original immune landscapes in recurrent ovarian cancer

Links

Journal

TL;DR

Institutions

Authors

Funding