2024
A process to reanalyze clinical DNA sequencing data for biomarker matching in the Lung-MAP Master Protocol
Neal J, Minichiello K, Brennick R, Huang R, Hiemenz M, Amler C, Patel J, Herbst R, Reckamp K, Borghaei H, Highleyman L, Redman M, Pasquina L, Kozono D. A process to reanalyze clinical DNA sequencing data for biomarker matching in the Lung-MAP Master Protocol. The Oncologist 2024, 29: e843-e847. PMID: 38597608, PMCID: PMC11144964, DOI: 10.1093/oncolo/oyae062.Peer-Reviewed Original ResearchLung mappingClinical trialsStandard-of-care testingTumor genomic profilingClinical trial assayMaster protocolDNA sequence dataRaw genomic dataMedian timeBioinformatics pipelineSequence dataGenomic dataBiomarker testingGenomic profilingCancer clinical trialsMolecular resultsTissue samplesPatientsSubstudy
2021
Practical Considerations Relating to Routine Clinical Biomarker Testing for Non–small Cell Lung Cancer: Focus on Testing for RET Fusions
Herbst RS, Aisner DL, Sonett JR, Turk AT, Weintraub JL, Lindeman NI. Practical Considerations Relating to Routine Clinical Biomarker Testing for Non–small Cell Lung Cancer: Focus on Testing for RET Fusions. Frontiers In Medicine 2021, 7: 562480. PMID: 33553195, PMCID: PMC7859651, DOI: 10.3389/fmed.2020.562480.Peer-Reviewed Original ResearchNon-small cell lung cancerCell lung cancerLung cancerAdvanced non-small cell lung cancerGenomic profilingExpert consensus guidanceMultidisciplinary advisory boardAccurate histopathological diagnosisGenomic screening programDrug Administration approvalProto-oncogene tyrosine-protein kinase receptor RetNumber of biomarkersStandard careInvestigational agentsTargetable alterationsHistopathological diagnosisRET fusionsActionable biomarkersAdministration approvalBiomarker testingScreening programSurgical pathologistsSpecific small molecule inhibitorsTreatment selectionBiopsy tissue
2020
A multi-stakeholder platform to prospectively link longitudinal real-world clinico-genomic, imaging, and outcomes data for patients with metastatic lung cancer.
Lu M, Walia G, Schulze K, Doral M, Maund S, Gaffey S, Cabili M, Bourla A, Green R, Santos E, Herbst R, Chiang A, Schwartzberg L. A multi-stakeholder platform to prospectively link longitudinal real-world clinico-genomic, imaging, and outcomes data for patients with metastatic lung cancer. Journal Of Clinical Oncology 2020, 38: tps2087-tps2087. DOI: 10.1200/jco.2020.38.15_suppl.tps2087.Peer-Reviewed Original ResearchCell lung cancerLung cancerOverall survivalOutcome dataExtensive-stage small-cell lung cancerMetastatic non-small cell lung cancerNon-small cell lung cancerSmall cell lung cancerReal-world clinical outcomesGenomic profilingFirst tumor assessmentFlatiron Health networkTechnology-enabled abstractionLines of therapyMetastatic lung cancerEnd of treatmentWithdrawal of consentClinical data pointsEnd of studyTumor DNA ProfilingAnti-neoplastic treatmentCase report formsTumor tissue samplesBlood genomic profilingElectronic health records
2015
Lung-MAP—framework, overview, and design principles
Ferrarotto R, Redman MW, Gandara DR, Herbst RS, Papadimitrakopoulou VA. Lung-MAP—framework, overview, and design principles. Chinese Clinical Oncology 2015, 4: 36-36. PMID: 26408303, DOI: 10.3978/j.issn.2304-3865.2015.09.02.Peer-Reviewed Original ResearchConceptsSquamous cell carcinomaLung-MAPClinical trialsMetastatic lung squamous cell carcinomaLung squamous cell carcinomaLung SCC patientsLimited therapeutic optionsEvidence of efficacyPoor patient outcomesClinical trial designDriver genetic alterationsEligible patientsSCC patientsPatients' qualityTreatment armsTherapeutic optionsCell carcinomaTherapy clinical trialsPatient outcomesTrial designMaster protocolsPatientsFDA approvalGenomic profilingPromising agent