In silico screening identifies a novel small molecule inhibitor that counteracts PARP inhibitor resistance in ovarian cancer
Lin ZP, Al Zouabi NN, Xu ML, Bowen NE, Wu TL, Lavi ES, Huang PH, Zhu YL, Kim B, Ratner ES. In silico screening identifies a novel small molecule inhibitor that counteracts PARP inhibitor resistance in ovarian cancer. Scientific Reports 2021, 11: 8042. PMID: 33850183, PMCID: PMC8044145, DOI: 10.1038/s41598-021-87325-5.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerSmall molecule inhibitorsPARP inhibitor resistancePARP inhibitorsBRCA mutationsOvarian cancerEOC cellsPoly ADP-ribose polymerase inhibitorsMolecule inhibitorsInhibitor resistanceADP-ribose polymerase inhibitorsTumor-bearing miceNovel small molecule inhibitorPARP inhibitor olaparibDefective homologous recombination (HR) repairEOC xenograftsClinical efficacySurvival timePutative small molecule inhibitorsInhibitor olaparibPolymerase inhibitorsHR repairInhibitorsCancerHomologous recombination repairCombination of triapine, olaparib, and cediranib suppresses progression of BRCA-wild type and PARP inhibitor-resistant epithelial ovarian cancer
Lin ZP, Zhu YL, Lo YC, Moscarelli J, Xiong A, Korayem Y, Huang PH, Giri S, LoRusso P, Ratner ES. Combination of triapine, olaparib, and cediranib suppresses progression of BRCA-wild type and PARP inhibitor-resistant epithelial ovarian cancer. PLOS ONE 2018, 13: e0207399. PMID: 30444904, PMCID: PMC6239325, DOI: 10.1371/journal.pone.0207399.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntineoplastic Combined Chemotherapy ProtocolsBRCA1 ProteinBreast NeoplasmsCell Line, TumorDrug Resistance, NeoplasmFemaleHumansMice, NudeMice, SCIDPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsPyridinesQuinazolinesThiosemicarbazonesXenograft Model Antitumor AssaysConceptsEpithelial ovarian cancerBRCA wild typeSCID-beige miceXenograft mouse modelOvarian cancerMouse modelSurvival timeNude micePARP inhibitorsEOC cell linesPARP inhibitor olaparibHomologous recombination repairCombination regimentsDefective homologous recombination (HR) repairEOC growthC tumorsSignificant prolongationBRCA mutationsAbdominal circumferenceEOC cellsSingle drugCediranibMarked suppressionTriple combinationTumor growthPredictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients
C. M, Lavi E, Altwerger G, Lin Z, Ratner E. Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients. PLOS ONE 2024, 19: e0305273. PMID: 38976671, PMCID: PMC11230535, DOI: 10.1371/journal.pone.0305273.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerEpithelial ovarian cancer patientsEpithelial ovarian cancer casesGene mutation signaturesPlatinum-based chemotherapyThe Cancer Genome AtlasResponse to treatmentOverall survivalGene mutationsMutational signaturesHomologous recombinationSurvival outcomesIncreased sensitivity to platinum-based chemotherapySensitivity to platinum-based chemotherapyAssociated with increased chemoresistanceResistance to platinum-based chemotherapySurvival timeSurvival rateFavorable response to treatmentPlatinum-induced DNA damageKaplan-Meier survival analysisPrediction of survival outcomesOvarian cancer patientsOverall survival ratePrediction of treatment outcome