2024
Clinical activity, pharmacokinetics, and pharmacodynamics of oral hypomethylating agents for myelodysplastic syndromes/neoplasms and acute myeloid leukemia: A multidisciplinary review
Haumschild R, Kennerly-Shah J, Barbarotta L, Zeidan A. Clinical activity, pharmacokinetics, and pharmacodynamics of oral hypomethylating agents for myelodysplastic syndromes/neoplasms and acute myeloid leukemia: A multidisciplinary review. Journal Of Oncology Pharmacy Practice 2024, 30: 721-736. PMID: 38509812, PMCID: PMC11118786, DOI: 10.1177/10781552241238979.Peer-Reviewed Original ResearchOral hypomethylating agentsAcute myeloid leukemiaHypomethylating agentsPK-PD profilesPharmacokinetic (PK)-pharmacodynamicMyeloid leukemiaTreatment selectionPK-PDConcentration-time curveIntravenous (IVImprove treatment outcomesCC-486IV decitabineOral azacitidineMaintenance therapySubcutaneous azacitidineNo significant differenceImprove quality of lifeAzacitidineClinical trialsClinical activityTreatment outcomesDisease settingsDecitabineDisease outcomeSearching for the “Holy Grail” of breast cancer recurrence risk: a narrative review of the hunt for a better biomarker and the promise of circulating tumor DNA (ctDNA)
Gao L, Medford A, Spring L, Bar Y, Hu B, Jimenez R, Isakoff S, Bardia A, Peppercorn J. Searching for the “Holy Grail” of breast cancer recurrence risk: a narrative review of the hunt for a better biomarker and the promise of circulating tumor DNA (ctDNA). Breast Cancer Research And Treatment 2024, 205: 211-226. PMID: 38355821, DOI: 10.1007/s10549-024-07253-6.Peer-Reviewed Original ResearchConceptsCirculating tumor DNABreast cancer careSystemic therapyTumor DNABreast cancerBreast cancer recurrence riskRisk of recurrenceCancer careCancer recurrence riskCirculating tumor cellsNarrative reviewTreat many patientsBreast cancer evaluationDistant diseaseFear of recurrenceBreast oncologistsPredictive biomarkersRecurrence riskTumor cellsCancer evaluationImprove prognosticationClinical challengeTreatment selectionPatientsBreast
2023
ctDNA and Lung Cancer
Cheng J, Hu Y, Wong D, Patel A. ctDNA and Lung Cancer. Current Cancer Research 2023, 511-537. DOI: 10.1007/978-3-031-22903-9_20.ChaptersCell-free DNALung cancerNon-small cell lung cancerCell lung cancerMinimal residual diseaseResidual diseasePleural fluidImportant clinical applicationsClinical utilityTreatment selectionEarly cancer detectionPhysiologic underpinningsClinical modelTherapy monitoringClinical applicationCancerCancer detectionUsing micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function
Wexler B, Kish R. Using micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function. Psychiatry Research 2023, 326: 115348. PMID: 37494880, PMCID: PMC10517859, DOI: 10.1016/j.psychres.2023.115348.Peer-Reviewed Original ResearchConceptsPoor response inhibitionResponse inhibitionSymptom-based diagnosisGO/NOGO testMarked performance decrementsNew treatment developmentTD childrenADHD childrenADHD subtypesPerformance decrementsInconsistent attentionAbstract categoriesTreatment developmentNatural categoriesBrain functionADHDDifferent neuropathologiesChildren 6Individual patientsTreatment selectionLocal Therapeutics for the Treatment of Oligo Metastatic Prostate Cancer
Jalfon M, Sakhalkar O, Lokeshwar S, Marks V, Choksi A, Klaassen Z, Leapman M, Kim I. Local Therapeutics for the Treatment of Oligo Metastatic Prostate Cancer. Current Urology Reports 2023, 24: 455-461. PMID: 37369828, DOI: 10.1007/s11934-023-01173-6.Peer-Reviewed Original ResearchConceptsOligometastatic prostate cancerCytoreductive radical prostatectomyMetastatic prostate cancerProstate cancerLocal therapyRadiation therapySystemic therapyClinical trialsDe novo metastatic prostate cancerProgression-free survivalWidespread metastatic diseaseStandard of careRecent FindingsTo dateClinician decision makingCytoreductive prostatectomySystemic chemotherapyMetastatic diseaseWidespread metastasesRetrospective studyRadical prostatectomyEarly treatmentLocal treatmentTreatment selectionTherapyPatientsThe role of volume of disease for treatment selection in patients with metastatic castration sensitive prostate cancer (mCSPC): A living meta-analysis.
Naqvi S, Riaz I, He H, Imran M, Orme J, Childs D, Ravi P, Hussain S, Singh P, Bryce A. The role of volume of disease for treatment selection in patients with metastatic castration sensitive prostate cancer (mCSPC): A living meta-analysis. Journal Of Clinical Oncology 2023, 41: 5088-5088. DOI: 10.1200/jco.2023.41.16_suppl.5088.Peer-Reviewed Original ResearchMetastatic castration-sensitive prostate cancerVolume of diseaseTriplet therapyDoublet therapyLV diseaseHazard ratioCastration-sensitive prostate cancerSensitive prostate cancerLow-volume diseaseEfficacious treatment optionConfidence intervalsInverse variance approachMixed treatment comparisonMCSPC patientsTreatment intensificationTreatment optionsClinical trialsProstate cancerEfficacious treatmentTreatment selectionDisease subgroupsPatientsComparative effectivenessTherapyDiseaseArtificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment.
Senthil Kumar K, Miskovic V, Blasiak A, Sundar R, Pedrocchi A, Pearson A, Prelaj A, Ho D. Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment. American Society Of Clinical Oncology Educational Book 2023, 43: e390084. PMID: 37235822, DOI: 10.1200/edbk_390084.Peer-Reviewed Educational MaterialsConceptsDigital pathologyClinical oncology communityArtificial intelligence (AI)-based applicationsClinical oncologyDeployment of AIDomain of digital pathologyTreatment selectionOncology communityBiomarker developmentArtificial intelligenceImprove patient outcomesAI innovationRegimen optimizationModulating dosesStandard histologyPatient outcomesNovel Approaches and Future Directions in Myelodysplastic Syndrome Treatment
Bewersdorf J, Xie Z, Zeidan A. Novel Approaches and Future Directions in Myelodysplastic Syndrome Treatment. The Cancer Journal 2023, 29: 195-202. PMID: 37195776, DOI: 10.1097/ppo.0000000000000658.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHigh-risk MDS patientsInternational Prognostic Scoring SystemPhase III clinical trialsErythropoiesis-stimulating agentsPrognostic scoring systemRisk stratification toolAdvanced clinical testingStandard of careAcute myeloid leukemiaTelomerase inhibitor imetelstatEncouraging early resultsMyelodysplastic Syndromes TreatmentAnemic patientsAgent monotherapyMDS patientsStratification toolSyndrome treatmentCombination therapyDysplastic changesClinical trialsMyeloid leukemiaTreatment decisionsClonal disorderTreatment selectionClinical testingAKT/mTOR signaling modulates resistance to endocrine therapy and CDK4/6 inhibition in metastatic breast cancers
Abu-Khalaf M, Alex Hodge K, Hatzis C, Baldelli E, El Gazzah E, Valdes F, Sikov W, Mita M, Denduluri N, Murphy R, Zelterman D, Liotta L, Dunetz B, Dunetz R, Petricoin E, Pierobon M. AKT/mTOR signaling modulates resistance to endocrine therapy and CDK4/6 inhibition in metastatic breast cancers. Npj Precision Oncology 2023, 7: 18. PMID: 36797347, PMCID: PMC9935518, DOI: 10.1038/s41698-023-00360-5.Peer-Reviewed Original ResearchEndocrine therapyProgressive diseaseCDK4/6 inhibitionImmune cellsTumor epitheliumOpen-label multicenter clinical trialMetastatic breast cancer patientsPI3K/AKT/mTOR activationFirst-line treatmentMetastatic breast cancerBreast cancer patientsAkt/mTOR activationMulticenter clinical trialAkt/mTORMBC patientsCancer patientsPredictive markerClinical trialsDisease progressionBreast cancerTreatment selectionTissue biopsiesPatientsNumber of FDAMTOR activationBaseline skin cytokine profiles determined by RNA in situ hybridization correlate with response to dupilumab in patients with eczematous dermatitis
Singh K, Valido K, Swallow M, Okifo K, Wang A, Cohen J, Damsky W. Baseline skin cytokine profiles determined by RNA in situ hybridization correlate with response to dupilumab in patients with eczematous dermatitis. Journal Of The American Academy Of Dermatology 2023, 88: 1094-1100. PMID: 36780951, DOI: 10.1016/j.jaad.2022.12.052.Peer-Reviewed Original ResearchConceptsEczematous dermatitisHistologic featuresTreatment selectionType 1Type 3 inflammationInflammatory skin diseaseCertain histologic featuresSitu hybridization correlatesClinical responseNonresponder groupCytokine profileCytokine stainingAtopic dermatitisCytokine RNAEczematous disordersSitu hybridizationDupilumabIL13 expressionSkin diseasesType 2PatientsDermatitisNonrespondersMolecular heterogeneityImproved responseSerotonin transporter availability in physically aggressive personality disordered patients: associations with trait and state aggression, and response to fluoxetine
Rosell D, Slifstein M, Thompson J, Xu X, Perez-Rodriguez M, McClure M, Hazlett E, New A, Nabulsi N, Huang Y, Carson R, Siever L, Abi-Dargham A, Koenigsberg H. Serotonin transporter availability in physically aggressive personality disordered patients: associations with trait and state aggression, and response to fluoxetine. Psychopharmacology 2023, 240: 361-371. PMID: 36640190, DOI: 10.1007/s00213-022-06306-2.Peer-Reviewed Original ResearchConceptsAnterior cingulate cortexAnti-aggressive effectsIED patientsPositron emission tomographyVentral striatumTransporter availabilityChildhood traumaSerotonin transporter availabilityRational treatment selectionIntermittent explosive disorderFluoxetine 20Fluoxetine treatmentSerotonergic abnormalitiesHealthy comparison participantsTreatment selectionRisk individualsObjectivesThe aimPatientsCingulate cortexExplosive disorderEmission tomographyImpulsive aggressionNovel therapeuticsFluoxetineNeuroanatomical basisGenomic and Transcriptomic Predictors of Response from Stereotactic Body Radiation Therapy in Patients with Oligoprogressive Renal Cell Carcinoma
Zengin Z, Govindarajan A, Salgia N, Sayegh N, Tripathi N, Muddasani R, Chehrazi-Raffle A, Feng M, Mercier B, Ladbury C, Hao C, Salgia S, Chawla N, Meza L, Malhotra J, Dizman N, Hsu J, Castro D, Barragan-Carrillo R, Ebrahimi H, Philip E, Chang M, Zhang J, Byron S, Lyou Y, Dorff T, Pal S, Dandapani S. Genomic and Transcriptomic Predictors of Response from Stereotactic Body Radiation Therapy in Patients with Oligoprogressive Renal Cell Carcinoma. European Urology Oncology 2023, 6: 447-450. PMID: 36609061, DOI: 10.1016/j.euo.2022.11.006.Peer-Reviewed Original ResearchConceptsMetastatic renal cell carcinomaStereotactic body radiation therapyRenal cell carcinomaBody radiation therapyCell carcinomaRadiation therapyClear cell renal cell carcinomaFirst-line treatmentCell renal cell carcinomaStereotactic body radiotherapyKidney cancer patientsOligoprogressive diseaseSystemic treatmentReactive oxygen species pathwayBody radiotherapyCancer patientsTreatment selectionPatientsTreatment changesOxygen species pathwayRadiation treatmentCarcinomaCell proliferationPotential roleRadiotherapy
2022
Development of a model to predict antidepressant treatment response for depression among Veterans
Puac-Polanco V, Ziobrowski H, Ross E, Liu H, Turner B, Cui R, Leung L, Bossarte R, Bryant C, Joormann J, Nierenberg A, Oslin D, Pigeon W, Post E, Zainal N, Zaslavsky A, Zubizarreta J, Luedtke A, Kennedy C, Cipriani A, Furukawa T, Kessler R. Development of a model to predict antidepressant treatment response for depression among Veterans. Psychological Medicine 2022, 53: 5001-5011. PMID: 37650342, PMCID: PMC10519376, DOI: 10.1017/s0033291722001982.Peer-Reviewed Original ResearchConceptsMajor depressive disorderVeterans Health AdministrationTreatment responseAntidepressant medicationADM treatmentDepression Symptomatology-Self ReportUS Veterans Health AdministrationBaseline self-reported dataAntidepressant treatment responseSheehan Disability ScaleBaseline symptom severityBeginning of treatmentVHA patientsQuick InventoryDisability ScaleDepressive disorderTreatment characteristicsSelf-report assessmentsTreatment selectionAlternative treatmentHealth AdministrationPatientsSymptom severityROC curveSelf-reported dataHow to Treat Renal Cell Carcinoma The Current Treatment Landscape and Cardiovascular Toxicities
Castro D, Malhotra J, Meza L, Govindarajan A, Philip E, Pal S. How to Treat Renal Cell Carcinoma The Current Treatment Landscape and Cardiovascular Toxicities. JACC CardioOncology 2022, 4: 271-275. PMID: 35818545, PMCID: PMC9270613, DOI: 10.1016/j.jaccao.2022.04.004.Peer-Reviewed Original ResearchA guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation— part 1: a guide to decision-making
Detterbeck FC, Blasberg JD, Woodard GA, Decker RH, Kumbasar U, Park HS, Mase VJ, Bade BC, Li AX, Brandt WS, Madoff DC. A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation— part 1: a guide to decision-making. Journal Of Thoracic Disease 2022, 0: 0-0. PMID: 35813719, PMCID: PMC9264102, DOI: 10.21037/jtd-21-1823.Peer-Reviewed Original ResearchLong-term outcomesIndividual patientsHealthy patientsLung cancerFavorable tumorsStage I lung cancerBetter long-term outcomesI lung cancerStage I NSCLCOlder patientsPatient selectionPoint of careSurgical approachClinical careEffect modifiersTreatment selectionPatientsTreatment approachesPatient valuesClinical judgmentSystematic reviewRelevant outcomesLong-term differencesAvailable evidenceShort-term differencesRedefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies
Wolf DM, Yau C, Wulfkuhle J, Brown-Swigart L, Gallagher RI, Lee PRE, Zhu Z, Magbanua MJ, Sayaman R, O’Grady N, Basu A, Delson A, Coppé JP, Lu R, Braun J, Investigators I, Asare SM, Sit L, Matthews JB, Perlmutter J, Hylton N, Liu MC, Pohlmann P, Symmans WF, Rugo HS, Isaacs C, DeMichele AM, Yee D, Berry DA, Pusztai L, Petricoin EF, Hirst GL, Esserman LJ, van 't Veer LJ. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies. Cancer Cell 2022, 40: 609-623.e6. PMID: 35623341, PMCID: PMC9426306, DOI: 10.1016/j.ccell.2022.05.005.Peer-Reviewed Original ResearchConceptsBreast cancer subtypesHormone receptorsHuman epidermal growth factor receptor 2 (HER2) statusCancer subtypesEpidermal growth factor receptor 2 statusPathologic complete response rateTreatment prioritizationComplete response ratePatient selectionPredictive biomarkersTreatment allocationPlatform trialsClinical dataLuminal phenotypeTreatment selectionResponse rateTumor biologyNew treatmentsDrug responseSubtypesCancer therapyBiomarkersProtein/phosphoproteinGene expressionDiverse biologyFront-Line Therapy for Metastatic Renal Cell Carcinoma: A Perspective on the Current Algorithm and Future Directions
Govindarajan A, Castro D, Zengin Z, Salgia S, Patel J, Pal S. Front-Line Therapy for Metastatic Renal Cell Carcinoma: A Perspective on the Current Algorithm and Future Directions. Cancers 2022, 14: 2049. PMID: 35565179, PMCID: PMC9106028, DOI: 10.3390/cancers14092049.Peer-Reviewed Original ResearchMetastatic renal cell carcinomaImmune checkpoint inhibitorsRenal cell carcinomaCheckpoint inhibitorsCell carcinomaMetastatic renal cell carcinoma (mRCC) therapyFront-line settingFront-line therapyRenal cell carcinoma therapyDoublet therapyDurable responsesOverall survivalClinical outcomesCombination therapyTherapy optionsTreatment paradigmTreatment selectionDrug AdministrationCarcinoma therapyTherapyCarcinomaInhibitorsFuture directionsAdministrationVEGFRKidney Cancer, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology.
Motzer RJ, Jonasch E, Agarwal N, Alva A, Baine M, Beckermann K, Carlo MI, Choueiri TK, Costello BA, Derweesh IH, Desai A, Ged Y, George S, Gore JL, Haas N, Hancock SL, Kapur P, Kyriakopoulos C, Lam ET, Lara PN, Lau C, Lewis B, Madoff DC, Manley B, Michaelson MD, Mortazavi A, Nandagopal L, Plimack ER, Ponsky L, Ramalingam S, Shuch B, Smith ZL, Sosman J, Dwyer MA, Gurski LA, Motter A. Kidney Cancer, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology. Journal Of The National Comprehensive Cancer Network 2022, 20: 71-90. PMID: 34991070, PMCID: PMC10191161, DOI: 10.6004/jnccn.2022.0001.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaStage IV renal cell carcinomaNCCN guidelinesKidney cancerTreatment selectionNCCN Clinical Practice GuidelinesAdvanced renal cell carcinomaSystemic therapy recommendationsFirst-line treatmentPre-existing comorbiditiesClinical practice guidelinesKidney cancer therapyRecommended regimensSystemic therapyRisk stratificationTumor histologyCell carcinomaTreatment recommendationsTherapy recommendationsRisk groupsPractice guidelinesCancer fociTherapy selectionCancer panelPatients
2021
Impact of the COVID-19 Pandemic on Treatment Patterns for Patients With Metastatic Solid Cancer in the United States
Parikh RB, Takvorian SU, Vader D, Wileyto E, Clark AS, Lee DJ, Goyal G, Rocque GB, Dotan E, Geynisman DM, Phull P, Spiess PE, Kim RY, Davidoff AJ, Gross CP, Neparidze N, Miksad RA, Calip GS, Hearn CM, Ferrell W, Shulman LN, Mamtani R, Hubbard RA, Investigators T. Impact of the COVID-19 Pandemic on Treatment Patterns for Patients With Metastatic Solid Cancer in the United States. Journal Of The National Cancer Institute 2021, 114: 571-578. PMID: 34893865, PMCID: PMC9002283, DOI: 10.1093/jnci/djab225.Peer-Reviewed Original ResearchConceptsMetastatic solid cancersFirst-line systemic therapyTreatment initiationSolid cancersSystemic therapyTreatment patternsMyelosuppressive therapyTreatment selectionCommunity-based oncology practicesCOVID-19 pandemicTechnology-enabled abstractionDays of diagnosisLife-threatening conditionInterrupted time series analysisMetastatic diagnosisUS patientsEffect modificationOncology practiceMetastatic cancerAdjusted probabilityPatientsPandemic periodPandemic-related delaysTherapyCancerQuantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade.
Pulvirenti A, Yamashita R, Chakraborty J, Horvat N, Seier K, McIntyre C, Lawrence S, Midya A, Koszalka M, Gonen M, Klimstra D, Reidy D, Allen P, Do R, Simpson A. Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade. JCO Clinical Cancer Informatics 2021, 5: 679-694. PMID: 34138636, PMCID: PMC8462651, DOI: 10.1200/cci.20.00121.Peer-Reviewed Original ResearchConceptsTumor gradePanNET gradeCT scanComputed tomographyManagement of pancreatic neuroendocrine tumorsPancreatic neuroendocrine tumor gradesRadiographic descriptorsArterial phase CT scansNeuroendocrine tumor gradingTumor grade assessmentPancreatic neuroendocrine tumorsQuantitative image analysisComputed tomography image analysisResected PanNETsGrade tumorsNeuroendocrine tumorsPrimary tumorInstitutional databaseProspective studyTherapeutic managementUnivariate analysisPanNETsTreatment selectionRadiomic featuresTumor
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