Proteomic Studies That Predict Patients’ Responses to High-Grade Serous Ovarian Cancer Treatments: A Systematic Review

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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.

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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.

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Jack Scanlan; Parul Mittal; Manuela-Klingler Hoffmann

doi:10.1021/acs.jproteome.5c01103

Proteomic Studies That Predict Patients’ Responses to High-Grade Serous Ovarian Cancer Treatments: A Systematic Review

Jack Scanlan & Manuela-Klingler Hoffmann et al. · 2026-01-28

Proteomic Studies That Predict Patients’ Responses to High-Grade Serous Ovarian Cancer Treatments: A Systematic Review

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