2024
Trends and predictors of Quality of Life in lung cancer survivors
Bade B, Zhao J, Li F, Tanoue L, Lazowski H, Alfano C, Silvestri G, Irwin M. Trends and predictors of Quality of Life in lung cancer survivors. Lung Cancer 2024, 191: 107793. PMID: 38640687, DOI: 10.1016/j.lungcan.2024.107793.Peer-Reviewed Original ResearchConceptsFunctional Assessment of Cancer Therapy - LungNon-small cell lung cancerHR-QOL scoresLung cancer survivorsHR-QOLAdvanced stage non-small cell lung cancerEarly-stage non-small cell lung cancerStage non-small cell lung cancerQuality of lifeCancer survivorsPhysical activityCell lung cancerEarly-stage diseasePredictors of quality of lifeHealth-related quality of lifeFollow-upHealth-related qualityHealthy weight maintenancePerformance statusAdvanced-stage non-small cell lung cancerLung cancerClinical significanceAssociated with older ageDiagnosed NSCLCTreatment-related side effects
2022
Exercise, Diet, and Weight Management During Cancer Treatment: ASCO Guideline
Ligibel JA, Bohlke K, May AM, Clinton SK, Demark-Wahnefried W, Gilchrist SC, Irwin ML, Late M, Mansfield S, Marshall TF, Meyerhardt JA, Thomson CA, Wood WA, Alfano CM. Exercise, Diet, and Weight Management During Cancer Treatment: ASCO Guideline. Journal Of Clinical Oncology 2022, 40: 2491-2507. PMID: 35576506, DOI: 10.1200/jco.22.00687.Peer-Reviewed Original ResearchConceptsWeight loss interventionCancer treatmentSystematic reviewNeutropenic dietPreoperative exerciseLoss interventionActive treatmentResistance exerciseLung cancerWeight managementActive cancer treatmentIntentional weight lossPatient-reported outcomesRisk of infectionQuality of lifeTypes of cancerCurative intentASCO guidelinesHospital stayPostoperative lengthTreatment toxicityOncology providersAdvanced cancerCochrane LibraryCardiorespiratory fitnessOral Cyanobacteria and Hepatocellular Carcinoma
Hernandez BY, Zhu X, Risch HA, Lu L, Ma X, Irwin ML, Lim JK, Taddei TH, Pawlish KS, Stroup AM, Brown R, Wang Z, Wong LL, Yu H. Oral Cyanobacteria and Hepatocellular Carcinoma. Cancer Epidemiology Biomarkers & Prevention 2022, 31: 221-229. PMID: 34697061, PMCID: PMC8755591, DOI: 10.1158/1055-9965.epi-21-0804.Peer-Reviewed Original ResearchConceptsHepatitis B virusHepatitis C virusHepatocellular carcinomaRisk factorsLiver diseaseHCC casesOral microbiomeU.S. case-control studyIndependent risk factorChronic liver diseaseFatty liver diseaseHCC risk factorsGut microbial alterationsType 2 diabetesCase-control studyLiver cancer developmentNSAID useAspirin useC virusB virusHCC riskNegative historyOral samplesSignificant associationCancer development
2021
Neighborhood and Individual Socioeconomic Disadvantage and Survival Among Patients With Nonmetastatic Common Cancers
Cheng E, Soulos PR, Irwin ML, Feliciano E, Presley CJ, Fuchs CS, Meyerhardt JA, Gross CP. Neighborhood and Individual Socioeconomic Disadvantage and Survival Among Patients With Nonmetastatic Common Cancers. JAMA Network Open 2021, 4: e2139593. PMID: 34919133, PMCID: PMC8683967, DOI: 10.1001/jamanetworkopen.2021.39593.Peer-Reviewed Original ResearchConceptsCancer-specific mortalityNeighborhood socioeconomic statusIndividual-level socioeconomic statusIndividual socioeconomic statusColorectal cancerOverall mortalitySocioeconomic statusCohort studyHazard ratioDual eligibilityCancer patientsCommon cancerLung cancerProstate cancerSocioeconomic disadvantageHigh riskEnd Results-Medicare databaseMedicare-Medicaid dual eligibilityPopulation-based cohort studyCox proportional hazards regressionSuboptimal cancer careColorectal cancer patientsBreast cancer patientsProportional hazards regressionNon-Hispanic white individualsAnalysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database
Cheng E, Blackburn HN, Ng K, Spiegelman D, Irwin ML, Ma X, Gross CP, Tabung FK, Giovannucci EL, Kunz PL, Llor X, Billingsley K, Meyerhardt JA, Ahuja N, Fuchs CS. Analysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database. JAMA Network Open 2021, 4: e2112539. PMID: 34132794, PMCID: PMC8209612, DOI: 10.1001/jamanetworkopen.2021.12539.Peer-Reviewed Original ResearchConceptsEarly-onset colorectal cancerOnset colorectal cancerNational Cancer DatabaseColorectal cancerAge 51Overall survivalCancer DatabaseIncidence of CRCCox proportional hazards regressionPrimary colorectal cancerKaplan-Meier analysisProportional hazards regressionAge 50 yearsAge 25 yearsAnalysis of survivalCohort studySurvival benefitHazards regressionUnadjusted analysesCancer incidenceMAIN OUTCOMEAge 35Survival advantageLower riskStage IAssociation of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer
Xiao C, Miller AH, Peng G, Levine ME, Conneely KN, Zhao H, Eldridge RC, Wommack EC, Jeon S, Higgins KA, Shin DM, Saba NF, Smith AK, Burtness B, Park HS, Irwin ML, Ferrucci LM, Ulrich B, Qian DC, Beitler JJ, Bruner DW. Association of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer. International Journal Of Radiation Oncology • Biology • Physics 2021, 111: 157-167. PMID: 33882281, PMCID: PMC8802868, DOI: 10.1016/j.ijrobp.2021.04.002.Peer-Reviewed Original ResearchConceptsProgression-free survivalBody mass indexQuality of lifeHigher epigenetic age accelerationTreatment-related symptomsOverall survivalEpigenetic age accelerationRadiation therapyRisk factorsClinical characteristicsNeck cancerAge accelerationWorse overall survivalHuman papilloma virusFaster biological agingAdverse eventsDistant metastasisLifestyle factorsMass indexCancer outcomesBlood biomarkersPapilloma virusFunctional assessmentHigher HRPatientsRace, Income, and Survival in Stage III Colon Cancer: CALGB 89803 (Alliance)
Lee S, Zhang S, Ma C, Ou FS, Wolfe EG, Ogino S, Niedzwiecki D, Saltz LB, Mayer RJ, Mowat RB, Whittom R, Hantel A, Benson A, Atienza D, Messino M, Kindler H, Venook A, Gross CP, Irwin ML, Meyerhardt JA, Fuchs CS. Race, Income, and Survival in Stage III Colon Cancer: CALGB 89803 (Alliance). JNCI Cancer Spectrum 2021, 5: pkab034-. PMID: 34104867, PMCID: PMC8178799, DOI: 10.1093/jncics/pkab034.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlack PeopleChemotherapy, AdjuvantColonic NeoplasmsConfidence IntervalsDietDisease-Free SurvivalFemaleHealth Services AccessibilityHumansIncomeLife StyleMaleMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsProspective StudiesWhite PeopleConceptsAdjusted hazard ratioDisease-free survivalRecurrence-free survivalColon cancer patientsHome zip codeMedian household incomeCALGB 89803Hazard ratioOverall survivalCancer patientsStage III colon cancer patientsStage III colon cancerPatient's home zip codeAdjuvant chemotherapy trialsStudy of patientsColon cancer outcomesHealth care accessChemotherapy trialsStudy enrollmentBlack patientsCancer outcomesLifestyle factorsLowest quartileObservational studyPatients“Randomized trial of physical activity on quality of life and lung cancer biomarkers in patients with advanced stage lung cancer: a pilot study”
Bade BC, Gan G, Li F, Lu L, Tanoue L, Silvestri GA, Irwin ML. “Randomized trial of physical activity on quality of life and lung cancer biomarkers in patients with advanced stage lung cancer: a pilot study”. BMC Cancer 2021, 21: 352. PMID: 33794808, PMCID: PMC8015735, DOI: 10.1186/s12885-021-08084-0.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerAdvanced-stage lung cancerStage lung cancerUsual carePhysical activityIntervention groupQuality of lifeLung cancerEligible patientsStage III/IV non-small cell lung cancerLow baseline physical activityHome-based physical activityAdvanced stage diseaseSoluble PD-1Stage IV adenocarcinomaBaseline physical activityMinority of patientsCell lung cancerPatient-reported outcomesEffects of exerciseRole functioning domainsLung cancer biologyAspects of QoL.Mobile health interventionsCancer biomarkersEfficacy of Weight Loss Interventions in United States Active Duty Military Populations: A Systematic Review
Csizmar G, Irwin M. Efficacy of Weight Loss Interventions in United States Active Duty Military Populations: A Systematic Review. Military Medicine 2021, 186: 1093-1099. PMID: 33506251, DOI: 10.1093/milmed/usab012.Peer-Reviewed Original ResearchConceptsDuty service membersActive duty service membersEfficacy of weight loss interventionsWeight loss interventionService membersSystematic reviewActive duty military populationOverseas contingency operationsElectronic databases PubMedPolicy changesNational securityPolicy effortsFood environmentLifestyle interventionUnderdeveloped researchPrevention effortsMilitary populationDoD leadersInclusion criteriaMeasured outcomesMilitary membersDatabases PubMedTarget populationInterventionMember moves
2020
Effect of Exercise or Metformin on Biomarkers of Inflammation in Breast and Colorectal Cancer: A Randomized Trial
Brown JC, Zhang S, Ligibel JA, Irwin ML, Jones LW, Campbell N, Pollak MN, Sorrentino A, Cartmel B, Harrigan M, Tolaney SM, Winer EP, Ng K, Abrams TA, Sanft T, Douglas PS, Hu FB, Fuchs CS, Meyerhardt JA. Effect of Exercise or Metformin on Biomarkers of Inflammation in Breast and Colorectal Cancer: A Randomized Trial. Cancer Prevention Research 2020, 13: 1055-1062. PMID: 32859615, PMCID: PMC7718298, DOI: 10.1158/1940-6207.capr-20-0188.Peer-Reviewed Original ResearchConceptsHs-CRPColorectal cancerPhysical activityHigh-sensitivity C-reactive proteinLow baseline physical activitySurvivors of breastTrial product estimandBaseline physical activityBiomarkers of inflammationC-reactive proteinMeasures of inflammationImproved clinical outcomesEffects of exerciseType 2 diabetesCombination of exerciseStandard therapyClinical outcomesCancer recurrenceObservational studyTreatment groupsInflammation outcomesMetforminIL6Factorial trialInflammationPilot study of combined aerobic and resistance exercise on fatigue for patients with head and neck cancer: Inflammatory and epigenetic changes
Xiao C, Beitler JJ, Higgins KA, Chico CE, Withycombe JS, Zhu Y, Zhao H, Lin IH, Li F, Jeon S, Irwin M, Bruner DW, Miller AH, Gary R. Pilot study of combined aerobic and resistance exercise on fatigue for patients with head and neck cancer: Inflammatory and epigenetic changes. Brain Behavior And Immunity 2020, 88: 184-192. PMID: 32330594, PMCID: PMC7415514, DOI: 10.1016/j.bbi.2020.04.044.Peer-Reviewed Original ResearchConceptsExercise groupInflammatory markersChair standNeck cancerBiceps curlSoluble TNF receptor IIMultidimensional Fatigue Inventory-20Tumor necrosis factor αPilot studyResistance exercise interventionTNF receptor IIPlasma interleukin-6Anti-inflammatory effectsC-reactive proteinPhysical function measuresIL1 receptor antagonistHand grip strengthNecrosis factor αIntensity-modulated radiotherapyStandard careExercise interventionWalk distanceRadiotherapy regimenHNC patientsMean ageRisk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study
Shen Y, Risch H, Lu L, Ma X, Irwin ML, Lim JK, Taddei T, Pawlish K, Stroup A, Brown R, Wang Z, Jia W, Wong L, Mayne ST, Yu H. Risk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study. Cancer Causes & Control 2020, 31: 321-332. PMID: 32060838, PMCID: PMC7136513, DOI: 10.1007/s10552-020-01277-1.Peer-Reviewed Original ResearchConceptsRisk of HCCCase-control studyHepatocellular carcinomaRisk factorsHCV infectionHCC riskOdds ratioHepatitis C virus antibodyUnconditional logistic regression modelsElevated HCC riskRapid case ascertainmentC virus antibodyHeavy alcohol intakeConfidence intervalsFamily cancer historyImportant risk factorRandom digit dialingLow socioeconomic statusUnhealthy lifestyle choicesLower household incomeLogistic regression modelsNSAID useAlcohol intakeCigarette smokingHigher BMI
2011
A review of web‐based weight loss interventions in adults
Arem H, Irwin M. A review of web‐based weight loss interventions in adults. Obesity Reviews 2011, 12: e236-e243. PMID: 20804523, PMCID: PMC3086798, DOI: 10.1111/j.1467-789x.2010.00787.x.Peer-Reviewed Original ResearchConceptsWeight lossWeb-based weight loss interventionObesity-related health complicationsWeight loss interventionBurden of diseasePublic health practitionersInternet-delivered interventionsAssociated health consequencesLoss interventionLow adherenceHealthcare costsEfficacious interventionsHealth complicationsObesity ratesControl groupNon-Caucasian participantsHealth consequencesWeight gainHealth practitionersIntervention resultsDefinitive conclusionsPopulation-specific researchPeer-reviewed literatureInterventionMore males
2001
Estimation of Energy Expenditure from Physical Activity Measures: Determinants of Accuracy
Irwin M, Ainsworth B, Conway J. Estimation of Energy Expenditure from Physical Activity Measures: Determinants of Accuracy. Obesity 2001, 9: 517-525. PMID: 11557832, DOI: 10.1038/oby.2001.68.Peer-Reviewed Original ResearchConceptsBody fatPA recordsEnergy expenditureOverestimation of EESeven-Day Physical Activity RecallEstimation of EEMen 50 yearsBody mass indexHigher body fatnessPhysical activity levelsPhysical activity measuresPhysical activity recallYears of agePA assessment methodsEstimates of EEMass indexActivity recallBody fatnessBody weightOlder agePA levelsActivity measuresPA behaviorAdditional studiesPA measures