Matrix Metalloproteinases as Candidate Antigenic Determinants for Anti-Tumor Autoantibodies in Human Ovarian Cancer: A Post Hoc Analysis.

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Bibliographic Details
Title: Matrix Metalloproteinases as Candidate Antigenic Determinants for Anti-Tumor Autoantibodies in Human Ovarian Cancer: A Post Hoc Analysis.
Authors: Markosian C; Rutgers Cancer Institute, Newark, New Jersey, USA.; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, New Jersey, USA., Ille AM; Rutgers Cancer Institute, Newark, New Jersey, USA.; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, New Jersey, USA., Burley SK; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.; Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.; Rutgers Cancer Institute, New Brunswick, New Jersey, USA.; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA., Arap W; Rutgers Cancer Institute, Newark, New Jersey, USA.; Division of Hematology/Oncology, Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA., Pasqualini R; Rutgers Cancer Institute, Newark, New Jersey, USA.; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
Source: FASEB journal : official publication of the Federation of American Societies for Experimental Biology [FASEB J] 2025 Sep 30; Vol. 39 (18), pp. e71066.
Publication Type: Journal Article
Journal Info: Publisher: Federation of American Societies for Experimental Biology Country of Publication: United States NLM ID: 8804484 Publication Model: Print Cited Medium: Internet ISSN: 1530-6860 (Electronic) Linking ISSN: 08926638 NLM ISO Abbreviation: FASEB J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-6860
DOI:10.1096/fj.202500739RR