2024
Analysis of HER2 expression changes from breast primary to brain metastases and the impact of HER2-low expression on overall survival
Pereslete A, Hughes M, Martin A, Files J, Nguyen K, Buckley L, Patel A, Moore A, Winer E, Dillon D, Li T, Tolaney S, Lin N, Sammons S. Analysis of HER2 expression changes from breast primary to brain metastases and the impact of HER2-low expression on overall survival. Neuro-Oncology 2024, 27: 184-194. PMID: 39211994, PMCID: PMC11726339, DOI: 10.1093/neuonc/noae163.Peer-Reviewed Original ResearchHER2-low expressionHER2-lowMetastatic breast cancerHER2-positiveHER2 expressionHER2-0Primary tumorBrain metastasesEstrogen receptorBreast cancerHER2-positive primary tumorsASCO-CAP guidelinesNCI-designated centersMultivariate survival analysisCox proportional hazards modelsAntibody-drug conjugatesProportional hazards modelActive antibody-drug conjugateASCO-CAPHER2 gainHER2 statusInferior survivalOverall survivalIntracranial activityRetrospective analysisGrowth characteristics of HCT116 xenografts lacking asparagine synthetase vary according to sex
Aladelokun O, Lu L, Zheng J, Yan H, Jain A, Gibson J, Khan S, Johnson C. Growth characteristics of HCT116 xenografts lacking asparagine synthetase vary according to sex. Human Genomics 2024, 18: 67. PMID: 38886847, PMCID: PMC11184737, DOI: 10.1186/s40246-024-00635-3.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAspartate-Ammonia LigaseCarbon-Nitrogen Ligases with Glutamine as Amide-N-DonorCell ProliferationColorectal NeoplasmsFemaleGene Expression Regulation, NeoplasticHCT116 CellsHeterograftsHumansMaleMiceReceptors, EstrogenReceptors, G-Protein-CoupledSex FactorsXenograft Model Antitumor AssaysConceptsFemale tumor-bearing miceFemale CRC patientsTumor-bearing miceCRC patientsTumor growthInferior survivalAssociated with inferior survivalMetabolic reprogrammingG protein-coupled estrogen receptorTriggering metabolic reprogrammingSustained tumor growthSuppressed tumor growthExpression of asparagine synthetaseCancer cell linesBackgroundSex-related differencesSurvival improvementImpact of sexFemale miceEstrogen receptorCancer growthTranslational relevanceRewiring of metabolic pathwaysCancer burdenMetabolic pathwaysAsparagine synthetaseMortality burden of pre‐treatment weight loss in patients with non‐small‐cell lung cancer: A systematic literature review and meta‐analysis
Bonomi P, Crawford J, Dunne R, Roeland E, Smoyer K, Siddiqui M, McRae T, Rossulek M, Revkin J, Tarasenko L. Mortality burden of pre‐treatment weight loss in patients with non‐small‐cell lung cancer: A systematic literature review and meta‐analysis. Journal Of Cachexia Sarcopenia And Muscle 2024, 15: 1226-1239. PMID: 38650388, PMCID: PMC11294038, DOI: 10.1002/jcsm.13477.Peer-Reviewed Original ResearchNon-small-cell lung cancerInternational consensus criteriaHazard ratioStatistical heterogeneityMeta-analysisWeight lossLung cancerSubgroup analysisPre-treatment weight lossAssociated with inferior survivalImpact of cachexiaKaplan-Meier curvesRandom-effects modelInferior survivalOverall survivalWorse survivalSurvival outcomesHigher mortality riskAdult patientsPoor prognosisClinical decision-makingClinical trialsMultivariate analysisCachexiaIndependent reviewers screened titles
2023
Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis
Morris M, Jain A, Sun B, Kurbatov V, Muca E, Zeng Z, Jin Y, Roper J, Lu J, Paty P, Johnson C, Khan S. Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis. Cancer Letters 2023, 574: 216384. PMID: 37716465, PMCID: PMC10620771, DOI: 10.1016/j.canlet.2023.216384.Peer-Reviewed Original ResearchConceptsLiver metastasesColon cancer liver metastasisCancer liver metastasesSided colon cancerSubset of patientsGrowth factor betaMulti-omics analysisFatty acid oxidationMetastatic diseaseInferior survivalClinical differencesClinical behaviorUntargeted metabolomics analysisTumor behaviorColon cancerBile acidsTumor cell metabolismFactor betaPatientsMetastasisPI3K-AktReactive oxygen speciesMEK-ERKLiquid chromatography-mass spectrometryRCC
2022
Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis
Farshidfar F, Rhrissorrakrai K, Levovitz C, Peng C, Knight J, Bacchiocchi A, Su J, Yin M, Sznol M, Ariyan S, Clune J, Olino K, Parida L, Nikolaus J, Zhang M, Zhao S, Wang Y, Huang G, Wan M, Li X, Cao J, Yan Q, Chen X, Newman AM, Halaban R. Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis. Nature Communications 2022, 13: 898. PMID: 35197475, PMCID: PMC8866401, DOI: 10.1038/s41467-022-28566-4.Peer-Reviewed Original ResearchConceptsAcral melanomaMelanoma subtypesClinical profilingCommon melanoma subtypeImmune checkpoint blockadeCheckpoint blockadeInferior survivalMelanoma cell linesKey molecular driversPoor prognosisTherapeutic targetAnchorage-independent growthImmunomodulatory genesNon-white individualsHotspot mutationsMolecular driversCandidate oncogeneMelanomaApoptotic cell deathLZTR1Focal amplificationTumor promoterCell linesMetastasisTumor suppressor
2021
No Difference in Survival Among Black Patients with Mycosis Fungoides and Sézary Syndrome: A Multicenter Retrospective Analysis
Allen P, Goyal S, Greenwell I, Scribner J, Rangarajan S, Mehta A, O'Leary C, Niyogusaba T, Huen A, Switchenko J, Tarabadkar E, Ayers A, Krishnasamy S, Porcu P, Sethi T, Iyer S, Lechowicz M. No Difference in Survival Among Black Patients with Mycosis Fungoides and Sézary Syndrome: A Multicenter Retrospective Analysis. Blood 2021, 138: 2441. DOI: 10.1182/blood-2021-151911.Peer-Reviewed Original ResearchMF/SSWhite blood cell countB patientsNB patientsMedian survivalSézary syndromeInferior survivalSystemic therapyMycosis fungoidesBlack patientsInsurance statusSeattle GeneticsExact testMultivariate Cox proportional hazards modelT-cell receptor clonalityHigh rateCox proportional hazards modelAdvisory CommitteeHigher nodal stageLarge registry studyHigh-risk featuresMulticenter retrospective analysisNumber of comorbiditiesYear of diagnosisKaplan-Meier curvesOverall survival based on oncologist density in the United States: A retrospective cohort study
Malleshappa S, Giri S, Patel S, Mehta T, Appleman L, Huntington SF, Passero V, Parikh RA, Mehta KD. Overall survival based on oncologist density in the United States: A retrospective cohort study. PLOS ONE 2021, 16: e0250894. PMID: 33979399, PMCID: PMC8115849, DOI: 10.1371/journal.pone.0250894.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyHPSA designationOverall survivalCohort studyMedian survivalPrimary careHealth professional shortage area (HPSA) designationsCare servicesShortage Area DesignationEnd Results (SEER) databaseKaplan-Meier methodMetastatic solid cancersMetastatic solid tumorsAmerican Medical Association MasterfileLog-rank testPrimary care servicesAreas of needPatients' median survivalHealth service availabilityHealth care servicesNumber of oncologistsAdult patientsInferior survivalSurveillance EpidemiologyResults databaseTumor subtypes and survival in male breast cancer
Leone J, Freedman RA, Lin NU, Tolaney SM, Vallejo CT, Leone BA, Winer EP, Leone JP. Tumor subtypes and survival in male breast cancer. Breast Cancer Research And Treatment 2021, 188: 695-702. PMID: 33770314, DOI: 10.1007/s10549-021-06182-y.Peer-Reviewed Original ResearchConceptsBreast cancer-specific survivalOverall survivalTumor subtypesBreast cancerHormone receptorsWorse breast cancer-specific survivalMultivariate Cox proportional hazards analysisCox proportional hazards analysisPurposeMale breast cancerTumor subtype distributionCancer-specific survivalProportional hazards analysisInvasive breast cancerMale breast cancerAggressive tumor biologyCox hazard ratiosPopulation-based informationTN diseaseAdvanced diseaseHazard ratioHR-/HER2Inferior survivalMedian agePatient characteristicsPrognostic factors
2020
Hematopoietic cell transplantation utilization and outcomes for primary plasma cell leukemia in the current era
Dhakal B, Patel S, Girnius S, Bachegowda L, Fraser R, Davila O, Kanate AS, Assal A, Hanbali A, Bashey A, Pawarode A, Freytes CO, Lee C, Vesole D, Cornell RF, Hildebrandt GC, Murthy HS, Lazarus HM, Cerny J, Yared JA, Schriber J, Berdeja J, Stockerl-Goldstein K, Meehan K, Holmberg L, Solh M, Diaz MA, Kharfan-Dabaja MA, Farhadfar N, Bashir Q, Munker R, Olsson RF, Gale RP, Bayer RL, Seo S, Chhabra S, Hashmi S, Badawy SM, Nishihori T, Gonsalves W, Nieto Y, Efebera Y, Kumar S, Shah N, Qazilbash M, Hari P, D’Souza A. Hematopoietic cell transplantation utilization and outcomes for primary plasma cell leukemia in the current era. Leukemia 2020, 34: 3338-3347. PMID: 32313109, PMCID: PMC7572530, DOI: 10.1038/s41375-020-0830-0.Peer-Reviewed Original ResearchConceptsPrimary plasma cell leukemiaHematopoietic cell transplantationKarnofsky performance statusPlasma cell leukemiaAllo-HCTPPCL patientsCell leukemiaNovel agent eraGood partial responseOutcomes of patientsHigh relapse rateAgent eraHCT utilizationSuperior OSPartial responsePerformance statusInferior survivalMedian ageRelapse rateCell transplantationSEER dataMortality 7Multi-variate analysisPatientsSurvival 17Comprehensive T cell repertoire characterization of non-small cell lung cancer
Reuben A, Zhang J, Chiou SH, Gittelman RM, Li J, Lee WC, Fujimoto J, Behrens C, Liu X, Wang F, Quek K, Wang C, Kheradmand F, Chen R, Chow CW, Lin H, Bernatchez C, Jalali A, Hu X, Wu CJ, Eterovic AK, Parra ER, Yusko E, Emerson R, Benzeno S, Vignali M, Wu X, Ye Y, Little LD, Gumbs C, Mao X, Song X, Tippen S, Thornton RL, Cascone T, Snyder A, Wargo JA, Herbst R, Swisher S, Kadara H, Moran C, Kalhor N, Zhang J, Scheet P, Vaporciyan AA, Sepesi B, Gibbons DL, Robins H, Hwu P, Heymach JV, Sharma P, Allison JP, Baladandayuthapani V, Lee JJ, Davis MM, Wistuba II, Futreal PA, Zhang J. Comprehensive T cell repertoire characterization of non-small cell lung cancer. Nature Communications 2020, 11: 603. PMID: 32001676, PMCID: PMC6992630, DOI: 10.1038/s41467-019-14273-0.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCell lung cancerT cellsLung cancerAdoptive T-cell therapyEarly-stage NSCLC patientsT cell repertoire analysisT cell responsesLungs of patientsT-cell therapyNSCLC patientsInferior survivalClinicopathologic featuresImmune landscapeViral infectionSolid tumorsTherapeutic efficacyCell responsesCell therapyPatientsRepertoire analysisLungTumorsImmunotherapyConsiderable proportion
2019
Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis
Zeidan AM, Podoltsev NA, Wang X, Bewersdorf JP, Shallis RM, Huntington SF, Gore SD, Davidoff AJ, Ma X, Wang R. Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis. Cancer 2019, 125: 4241-4251. PMID: 31483484, PMCID: PMC7733320, DOI: 10.1002/cncr.32439.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaTime of diagnosisOlder patientsActive treatmentMyeloid leukemiaMultivariable logistic regression modelMedian overall survivalPercentage of patientsLow-intensity therapyMajority of patientsNovel therapeutic optionsQuality of careLogistic regression modelsIntensity therapyTherapy receiptOverall survivalWorse survivalClinical factorsInferior survivalEntire cohortTherapeutic optionsPatient populationRetrospective analysisHigher oddsProvider characteristics
2017
The impact of tumor size on survival in T3 non-small cell lung-cancer with direct extension.
Kim C, Salazar M, Hoag J, Rosen J, Arnold B, Boffa D, Blasberg J. The impact of tumor size on survival in T3 non-small cell lung-cancer with direct extension. Journal Of Clinical Oncology 2017, 35: e20033-e20033. DOI: 10.1200/jco.2017.35.15_suppl.e20033.Peer-Reviewed Original ResearchTumor sizeAdjuvant chemoradiationAdjuvant chemotherapyAdjuvant therapyOverall cohortInferior survivalCurrent staging guidelinesNational Cancer DatabaseImportant prognostic variablesSubset of patientsPathologic N stageLarger tumor sizeNon-small cellProportional hazards modelN0 patientsN2 patientsNeoadjuvant therapyNodal diseaseImproved survivalPositive marginsStaging guidelinesCancer DatabaseN stagePrognostic variablesHazards modelComparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium
Zeidan AM, Al Ali N, Barnard J, Padron E, Lancet JE, Sekeres MA, Steensma DP, DeZern A, Roboz G, Jabbour E, Garcia-Manero G, List A, Komrokji R. Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium. Leukemia 2017, 31: 1391-1397. PMID: 28111463, DOI: 10.1038/leu.2017.33.Peer-Reviewed Original ResearchConceptsInternational Prognostic Scoring SystemT-MDS patientsDe novo myelodysplastic syndromePrognostic scoring systemNovo myelodysplastic syndromeMyelodysplastic syndromeT-MDSClinical outcomesScoring systemMDS Clinical Research ConsortiumClinical Research ConsortiumRisk stratification toolRisk group categoriesRisk stratification modelConventional risk stratification modelPrognostic systemPrior therapyMedian survivalIndolent courseInferior survivalMDS patientsPrognostic utilityStratification toolWorse outcomesPatients
2016
Defining outcomes of patients with clinical stage I small cell lung cancer upstaged at surgery
Thomas DC, Arnold BN, Rosen JE, Salazar MC, Blasberg JD, Detterbeck FC, Boffa DJ, Kim AW. Defining outcomes of patients with clinical stage I small cell lung cancer upstaged at surgery. Lung Cancer 2016, 103: 75-81. PMID: 28024700, DOI: 10.1016/j.lungcan.2016.11.016.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantCombined Modality TherapyDatabases, FactualFemaleGuidelines as TopicHumansLung NeoplasmsLymphatic MetastasisMaleMiddle AgedNeoplasm StagingOutcome Assessment, Health CarePneumonectomyPostoperative PeriodRadiotherapySmall Cell Lung CarcinomaSurvival AnalysisConceptsStage I small cell lung cancerClinical stage ISmall cell lung cancerCell lung cancerAdjuvant chemotherapySurgical resectionPathologic upstagingStage IRadiation therapyNodal diseaseLung cancerPositive lymph node involvementNational Cancer DatabaseOutcomes of patientsLymph node involvementProportion of patientsCurative intentNodal upstagingSCLC patientsUpstaged patientsAdjuvant therapyNode involvementIndependent predictorsInferior survivalT descriptor
2008
Dynamic change in phosphorylated platelet-derived growth factor receptor in peripheral blood leukocytes following docetaxel therapy predicts progression-free and overall survival in prostate cancer
Mathew P, Thall P, Wen S, Bucana C, Jones D, Horne E, Oh W, Morris M, Lee Y, Logothetis C, Lin S, Fidler I. Dynamic change in phosphorylated platelet-derived growth factor receptor in peripheral blood leukocytes following docetaxel therapy predicts progression-free and overall survival in prostate cancer. British Journal Of Cancer 2008, 99: 1426-1432. PMID: 18841158, PMCID: PMC2579696, DOI: 10.1038/sj.bjc.6604706.Peer-Reviewed Original ResearchConceptsPlatelet-derived growth factor receptorPlasma platelet-derived growth factorOverall survivalProgression-freePlatelet-derived growth factor receptor phosphorylationGrowth factor receptorPeripheral blood leukocytesProstate cancerFactor receptorPlatelet-derived growth factor receptor inhibitionInferior median overall survivalMedian progression-free survivalPlacebo-controlled randomised studyBlood leukocytesMedian overall survivalProgression-free survivalMetastatic prostate cancerInhibitor imatinib mesylateIndividual treatment armsPlasma PDGF concentrationPlatelet-derived growth factorDocetaxel efficacyDocetaxel therapyImatinib armInferior survival
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