2023
Image analysis-based tumor infiltrating lymphocytes measurement predicts breast cancer pathologic complete response in SWOG S0800 neoadjuvant chemotherapy trial
Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Liu Y, Wang L, Wei W, Pusztai L, Blenman K. Image analysis-based tumor infiltrating lymphocytes measurement predicts breast cancer pathologic complete response in SWOG S0800 neoadjuvant chemotherapy trial. Npj Breast Cancer 2023, 9: 38. PMID: 37179362, PMCID: PMC10182981, DOI: 10.1038/s41523-023-00535-0.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerComplete responseTIL scoreBreast Cancer Pathologic Complete ResponseTumor-infiltrating lymphocyte scoresEvent-free survivalNeoadjuvant chemotherapy trialsLymphocyte measurementsLymphocyte scoreNeoadjuvant chemotherapyChemotherapy trialsMean pretreatmentResidual diseaseTIL quantificationPredictive valuePretreatment samplesResponse discriminationScoresStrong positive correlationPositive correlation
2022
Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements.
Blenman K, Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Pusztai L. Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements. Journal Of Clinical Oncology 2022, 40: 594-594. DOI: 10.1200/jco.2022.40.16_suppl.594.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerNeoadjuvant chemotherapyComplete responseTIL scoreResidual diseaseResponse predictive markersBetter EFSBevacizumab benefitLymphocyte measurementsTIL assessmentFree survivalPredictive markerTIL quantificationInternational guidelinesPretreatment samplesLogistic regressionCancerOutcome discriminationChemotherapyScoresContinuous scoresTumorsClinical adoptionStrong positive correlation
2016
Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma
Wilson MA, Zhao F, Khare S, Roszik J, Woodman SE, D'Andrea K, Wubbenhorst B, Rimm DL, Kirkwood JM, Kluger HM, Schuchter LM, Lee SJ, Flaherty KT, Nathanson KL. Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma. Clinical Cancer Research 2016, 22: 374-382. PMID: 26307133, PMCID: PMC4821426, DOI: 10.1158/1078-0432.ccr-15-1162.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinDisease-Free SurvivalDNA Copy Number VariationsDNA Mutational AnalysisDouble-Blind MethodGenes, rasHumansMelanomaMutationNeoplasm StagingNiacinamidePaclitaxelPhenylurea CompoundsProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-metSorafenibTreatment OutcomeConceptsProgression-free survivalGene copy gainOverall survivalImproved progression-free survivalCopy gainImproved overall survivalGenomic alterationsCancer Genome Atlas (TCGA) datasetImproved treatment responseClinical outcomesMET amplificationV600KCCND1 amplificationTreatment responseMelanoma pathogenesisV600E mutationCurrent FDAPretreatment samplesBRAF geneTumor samplesPatientsSorafenibTherapyTumorsAtlas dataset