2024
An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers
Xirou V, Moutafi M, Bai Y, Nwe Aung T, Burela S, Liu M, Kimple R, Shabbir Ahmed F, Schultz B, Flieder D, Connolly D, Psyrri A, Burtness B, Rimm D. An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers. Oral Oncology 2024, 152: 106750. PMID: 38547779, PMCID: PMC11060915, DOI: 10.1016/j.oraloncology.2024.106750.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesHead and neck cancerTILs evaluationHPV-positiveNeck cancerPrognostic valueHead and neck squamous cell cancer casesTIL variablesAssociated with favorable prognosisHPV-negative headHPV-negative populationHematoxylin-eosin-stained sectionsCox regression analysisPotential clinical implicationsInter-observer variabilityInfiltrating lymphocytesClinicopathological factorsFavorable prognosisValidation cohortTumor cellsCancer casesProspective settingQuPath softwareRetrospective collectionPredictive significanceImpact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers
Haider S, Zeevi T, Sharaf K, Gross M, Mahajan A, Kann B, Judson B, Prasad M, Burtness B, Aboian M, Canis M, Reichel C, Baumeister P, Payabvash S. Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266637. PMID: 38514087, DOI: 10.2967/jnumed.123.266637.Peer-Reviewed Original ResearchOropharyngeal squamous cell carcinomaSquamous cell carcinomaHuman papillomavirusRadiomic featuresIntraclass correlation coefficientCell carcinomaLentiform nucleusHuman papillomavirus statusReceiver-operating-characteristic analysisReceiver-operating-characteristic curvePET radiomic featuresUnivariate logistic regressionF-FDGPrimary tumorTraining cohortValidation cohortRadiomic biomarkersUnivariate analysisInterindividual comparabilityPredictive valueDegree of reproducibilityMedian areaRadiomic markersLogistic regressionAUC
2022
Outcomes Stratification of Head and Neck Cancer Using Pre- and Post-treatment DNA Methylation From Peripheral Blood
Qian D, Ulrich B, Peng G, Zhao H, Conneely K, Miller A, Bruner D, Eldridge R, Wommack E, Higgins K, Shin D, Saba N, Smith A, Burtness B, Park H, Stokes W, Beitler J, Xiao C. Outcomes Stratification of Head and Neck Cancer Using Pre- and Post-treatment DNA Methylation From Peripheral Blood. International Journal Of Radiation Oncology • Biology • Physics 2022, 115: 1217-1228. PMID: 36410685, DOI: 10.1016/j.ijrobp.2022.11.009.Peer-Reviewed Original ResearchConceptsRecurrence-free survivalWorse recurrence-free survivalOverall survivalMethylation risk scoreRadiation therapyValidation cohortPeripheral bloodDiscovery cohortOutcome stratificationShorter recurrence-free survivalNeck squamous cell carcinomaGastrostomy tube insertionHigher neutrophil countOral cavity cancerAforementioned risk factorsSquamous cell carcinomaPeripheral blood samplesNonmetastatic HNSCCNeutrophil countPrognostic factorsCox regressionPrognostic valueCell carcinomaTube insertionImmune modulation
2021
Outcomes Stratification of Head and Neck Cancer Using Pre- and Post-Treatment DNA Methylation in Peripheral Blood
Qian D, Ulrich B, Peng G, Zhao H, Conneely K, Miller A, Bruner D, Eldridge R, Wommack E, Higgins K, Shin D, Saba N, Smith A, Burtness B, Park H, Stokes W, Beitler J, Xiao C. Outcomes Stratification of Head and Neck Cancer Using Pre- and Post-Treatment DNA Methylation in Peripheral Blood. International Journal Of Radiation Oncology • Biology • Physics 2021, 111: s143-s144. DOI: 10.1016/j.ijrobp.2021.07.323.Peer-Reviewed Original ResearchProgression-free survivalSquamous cell carcinomaOverall survivalHigh-risk scoreRisk scoreDiscovery cohortValidation cohortPeripheral bloodRisk factorsNon-metastatic squamous cell carcinomaMethods Peripheral blood samplesWorse progression-free survivalShorter progression-free survivalPoor progression-free survivalNeck squamous cell carcinomaHPV-negative statusPEG tube insertionPost-treatment time pointsCompletion of radiotherapyHigher neutrophil countOral cavity cancerNeck cancer recurrenceAforementioned risk factorsPeripheral blood samplesClinicopathologic covariates
2017
NSD1- and NSD2-damaging mutations define a subset of laryngeal tumors with favorable prognosis
Peri S, Izumchenko E, Schubert AD, Slifker MJ, Ruth K, Serebriiskii IG, Guo T, Burtness BA, Mehra R, Ross EA, Sidransky D, Golemis EA. NSD1- and NSD2-damaging mutations define a subset of laryngeal tumors with favorable prognosis. Nature Communications 2017, 8: 1772. PMID: 29176703, PMCID: PMC5701248, DOI: 10.1038/s41467-017-01877-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCohort StudiesFemaleGene Expression Regulation, NeoplasticHistone MethyltransferasesHistone-Lysine N-MethyltransferaseHumansIntracellular Signaling Peptides and ProteinsLaryngeal NeoplasmsMaleMiddle AgedMutationNuclear ProteinsPrognosisRepressor ProteinsSquamous Cell Carcinoma of Head and NeckConceptsUseful clinical metricSquamous cell carcinomaLaryngeal cancer patientsPoor overall survivalIndependent validation cohortDistinct prognostic outcomesMolecular prognostic biomarkersOverall survivalCancer Genome AtlasFavorable prognosisBetter prognosisValidation cohortCell carcinomaCancer patientsLaryngeal tumorsLaryngeal cancerPrognostic outcomesTreatment stratificationPrognostic biomarkerNasal cavityOral cavityHigh recurrenceAnatomical sitesPatient stratificationCancer subtypes