2024
An Artificial Intelligence-Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma.
Li Q, Zhang W, Liao T, Gao Y, Zhang Y, Jin A, Ma B, Qu N, Zhang H, Zheng X, Li D, Yun X, Zhao J, Yu H, Gao M, Wang Y, Qian B. An Artificial Intelligence-Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma. Clinical Cancer Research 2024, 31: 139-150. PMID: 39535738, DOI: 10.1158/1078-0432.ccr-24-2356.Peer-Reviewed Original ResearchPapillary thyroid carcinomaPapillary thyroid carcinoma patientsDisease-free survivalThyroid carcinomaInflammatory subtypeRadiomics signatureTreatment responseSubtype of papillary thyroid carcinomaTianjin Medical University Cancer Institute and HospitalAssociated with poor disease-free survivalFudan University Shanghai Cancer CenterPoor disease-free survivalCancer Institute and HospitalTreatment response of patientsComplications risk stratificationShanghai Cancer CenterAnti-inflammatory traditional Chinese medicinesResponse of patientsPreoperative ultrasound imagingValidation set 2Clinicopathological variablesTraining set 1Evaluate prognosisPoor prognosisRisk stratificationSomatic gene mutations involved in DNA damage response/Fanconi anemia signaling are tissue- and cell-type specific in human solid tumors
Kumar S, Du W, Zhang J, Yu H, Deng Y, Fei P. Somatic gene mutations involved in DNA damage response/Fanconi anemia signaling are tissue- and cell-type specific in human solid tumors. Frontiers In Medicine 2024, 11: 1462810. PMID: 39421870, PMCID: PMC11483370, DOI: 10.3389/fmed.2024.1462810.Peer-Reviewed Original ResearchDNA damage responsePotential driver mutationsFanconi anemiaCellular defense networkHuman cancersStudy of DNA damage responseAlteration frequencyDriver mutationsFA proteinsPan-cancer samplesSignal transductionSomatic gene mutationsDamage responseFA signalingUBE2TMutated genesCellular insultsDevelopment of effective therapeutic strategiesCell-typeMutational signaturesGene alteration patternsGenesMutationsDefense networkProstate cancerAldehydes alter TGF-β signaling and induce obesity and cancer
Yang X, Bhowmick K, Rao S, Xiang X, Ohshiro K, Amdur R, Hassan M, Mohammad T, Crandall K, Cifani P, Shetty K, Lyons S, Merrill J, Vegesna A, John S, Latham P, Crawford J, Mishra B, Dasarathy S, Wang X, Yu H, Wang Z, Huang H, Krainer A, Mishra L. Aldehydes alter TGF-β signaling and induce obesity and cancer. Cell Reports 2024, 43: 114676. PMID: 39217614, PMCID: PMC11560041, DOI: 10.1016/j.celrep.2024.114676.Peer-Reviewed Original ResearchAldehyde dehydrogenase 2Small interfering RNADisease progression to cancerPro-oncogenic phenotypeTGF-bProgression to cancerGrowth factor BTGF-b signalingHuman metabolic syndromeSteatotic liver diseasePotential therapeutic targetMetabolic syndromePro-fibroticInduce obesityTherapeutic inhibitionLiver diseaseCurrent treatmentSmad3 signalingGlucose handlingTherapeutic targetFunctional phenotypeDehydrogenase 2Improve glucose handlingSPTBN1ObesityGenome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni Z, Kundu P, McKean D, Wheeler W, Albanes D, Andreotti G, Antwi S, Arslan A, Bamlet W, Beane-Freeman L, Berndt S, Bracci P, Brennan P, Buring J, Chanock S, Gallinger S, Gaziano J, Giles G, Giovannucci E, Goggins M, Goodman P, Haiman C, Hassan M, Holly E, Hung R, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough M, Milne R, Moore S, Neale R, Oberg A, Patel A, Peters U, Rabe K, Risch H, Shu X, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin B, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir L, Stolzenberg-Solomon R, Klein A. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1229-1239. PMID: 38869494, PMCID: PMC11928872, DOI: 10.1158/1055-9965.epi-24-0096.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskHeavy alcohol consumptionCancer riskSingle-nucleotide polymorphismsAlcohol consumptionExpression quantitative trait lociQuantitative trait lociAssociated with pancreatic cancer riskGenome-wide interaction analysisGenome-wide significant evidenceEtiology of pancreatic cancerFixed-effect meta-analysesGenomic regionsGenome-wide significant evidence of associationLead single-nucleotide polymorphismsTrait lociGenetic variantsEuropean ancestry populationsEvidence of associationGenome-wide association studiesAnalysis of single-nucleotide polymorphismsCase-control studyPancreatic cancerGenome-wide analysisAncestry populationsSu1127 MYOSTATIN CONTRIBUTES TO ALTERATIONS IN METABOLIC PATHWAYS AND MUSCLE ATROPHY IN MASH AND HCC AND IS A PROMISING BIOMARKER WITH METABOLIC MARKER PKM2 FOR RISK STRATIFICATION OF HCC
Bhowmick K, Xiang X, Ohshiro K, Amdur R, Yang X, Wong L, Shetty K, Latham P, Lau L, Crandall K, Cifani P, Cacaj F, Mishra B, Dasarathy S, Wang X, Yu H, Wang Z, Krainer A, Satapathy S, Crawford J, Mishra L. Su1127 MYOSTATIN CONTRIBUTES TO ALTERATIONS IN METABOLIC PATHWAYS AND MUSCLE ATROPHY IN MASH AND HCC AND IS A PROMISING BIOMARKER WITH METABOLIC MARKER PKM2 FOR RISK STRATIFICATION OF HCC. Gastroenterology 2024, 166: s-666. DOI: 10.1016/s0016-5085(24)01982-6.Peer-Reviewed Original Research459 REGULATION OF CEACAM1 IN METABOLIC DYSFUNCTION ASSOCIATED STEATOHEPATITIS (MASH) AND HCC BY TGF-β SIGNALING
Bhowmick K, Yang X, Xiang X, Ohshiro K, Latham P, Crawford J, Amdur R, Hassan M, Mohammad T, Crandall K, Cifani P, Mishra B, Dasarathy S, Wang X, Yu H, Wang Z, Krainer A, Mishra L. 459 REGULATION OF CEACAM1 IN METABOLIC DYSFUNCTION ASSOCIATED STEATOHEPATITIS (MASH) AND HCC BY TGF-β SIGNALING. Gastroenterology 2024, 166: s-1547. DOI: 10.1016/s0016-5085(24)04005-8.Peer-Reviewed Original ResearchHypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2)
Habeshian T, Peeri N, De Vivo I, Schouten L, Shu X, Cote M, Bertrand K, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gallagher G, Gierach G, Goodman M, Jordan S, La Vecchia C, Lacey J, Levi F, Liao L, Lipworth L, Lu L, Matias-Guiu X, Moysich K, Mutter G, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara T, Hernández I, Palmer J, Parazzini F, Patel A, Penney K, Prizment A, Ricceri F, Risch H, Sacerdote C, Sandin S, Stolzenberg-Solomon R, van den Brandt P, Webb P, Wentzensen N, Wijayabahu A, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan V. Hypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiology Biomarkers & Prevention 2024, 33: 788-795. PMID: 38530242, PMCID: PMC11145161, DOI: 10.1158/1055-9965.epi-23-1444.Peer-Reviewed Original ResearchConceptsEpidemiology of Endometrial Cancer ConsortiumRisk of endometrial cancerComponents of metabolic syndromeCancer ConsortiumRisk factorsAssociated with endometrial cancer riskIncidence rates of endometrial cancerMultivariable unconditional logistic regression modelStronger magnitude of associationEtiology of endometrial cancerStudy designUnconditional logistic regression modelsIncreased risk of endometrial cancerEndometrial cancer riskRates of endometrial cancerUsers of postmenopausal hormone therapyConfidence intervalsRising prevalence of obesityPrevalence of obesityEndometrial cancerMagnitude of associationEndometrial cancer casesMetabolic syndromeBody mass indexLogistic regression modelsDetection of hepatocellular carcinoma methylation markers in salivary DNA
Mezzacappa C, Wang Z, Lu L, Risch H, Taddei T, Yu H. Detection of hepatocellular carcinoma methylation markers in salivary DNA. Bioscience Reports 2024, 44: bsr20232063. PMID: 38457142, PMCID: PMC10958141, DOI: 10.1042/bsr20232063.Peer-Reviewed Original ResearchHepatocellular carcinoma screeningCase patientsHepatocellular carcinomaControl subjectsDiagnosis of hepatocellular carcinomaAssociated with hepatocellular carcinomaScreening testSalivary DNASaliva-based testCpG sitesStudy of risk factorsSalivary DNA methylationDNA methylationViral hepatitisCirculating DNAAlterations to DNA methylationRisk factorsMethylation markersPatientsRegulation of cell cycle progressionBlood samplesCell cycle progressionAffected individualsAlternative to blood samplingMultiple comparisonsMechanistically based blood proteomic markers in the TGF-β pathway stratify risk of hepatocellular cancer in patients with cirrhosis.
Xiang X, Bhowmick K, Shetty K, Ohshiro K, Yang X, Wong L, Yu H, Latham P, Satapathy S, Brennan C, Dima R, Chambwe N, Sharifova G, Cacaj F, John S, Crawford J, Huang H, Dasarathy S, Krainer A, He A, Amdur R, Mishra L. Mechanistically based blood proteomic markers in the TGF-β pathway stratify risk of hepatocellular cancer in patients with cirrhosis. Genes & Cancer 2024, 15: 1-14. PMID: 38323119, PMCID: PMC10843195, DOI: 10.18632/genesandcancer.234.Peer-Reviewed Original ResearchHepatocellular carcinomaPyruvate kinase M2TGF-bPresence of hepatocellular carcinomaEarly detection of HCCRisk of hepatocellular cancerDetection of hepatocellular carcinomaAdvanced incurable stageRisk-stratifying biomarkersTGF-B pathwayAssociated with hepatocellular carcinomaProteomic markersEarly detectionBiologically relevant markersIncurable stageBlood-based biomarkersHepatocellular cancerRisk stratificationStratify riskNon-HCCClinical variablesBlood levelsLiver diseaseAnimal modelsBiological role
2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survivalHula as a physical activity and social support intervention for sustained activity in female breast and gynecologic cancer survivors
Bantum E, Yamada P, Makolo T, Yu H, Pagano I, Subia N, Walsh C, Loo L. Hula as a physical activity and social support intervention for sustained activity in female breast and gynecologic cancer survivors. Frontiers In Psychology 2023, 14: 1190532. PMID: 37941759, PMCID: PMC10629222, DOI: 10.3389/fpsyg.2023.1190532.Peer-Reviewed Original ResearchPhysical activityCancer survivorsMaintenance of physical activityPhysical activity improves healthPre-and post-interventionQuality of life of cancer survivorsGynecologic cancer survivorsBenefits of social supportModerate physical activitySocial support interventionsSustained physical activityLife of cancer survivorsRandomized wait-listSupport interventionsPost-interventionIntervention groupNational Cancer InstituteWaist circumferencePsychosocial dataSupport groupsSocial supportNative HawaiiansPsychosocial functioningFemale breastImprove enjoymentElucidating the role of blood metabolites on pancreatic cancer risk using two‐sample Mendelian randomization analysis
Zhong H, Liu S, Zhu J, Xu T, Yu H, Wu L. Elucidating the role of blood metabolites on pancreatic cancer risk using two‐sample Mendelian randomization analysis. International Journal Of Cancer 2023, 154: 852-862. PMID: 37860916, PMCID: PMC10843029, DOI: 10.1002/ijc.34771.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaPDAC riskBlood metabolitesGenetic instrumentsTwo-sample Mendelian randomization studyPancreatic Cancer Case-Control ConsortiumEPIC-Norfolk cohortPancreatic cancer riskEuropean ancestryPancreatic Cancer Cohort ConsortiumPotential side effectsCanadian Longitudinal StudyAssociations of metabolitesMendelian randomization studyTwo-sample Mendelian randomization (MR) analysisGenome-wide association studiesMendelian randomization analysisFatal malignancyDuctal adenocarcinomaCancer riskPDAC casesSide effectsAging CohortMetabolite biomarkersRandomization studyNight shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
Frias-Gomez J, Alemany L, Benavente Y, Clarke M, de Francisco J, De Vivo I, Du M, Goodman M, Lacey J, Liao L, Lipworth L, Lu L, Merritt M, Michels K, O'Connell K, Paytubi S, Pelegrina B, Peremiquel-Trillas P, Petruzella S, Ponce J, Risch H, Setiawan V, Schouten L, Shu X, Trabert B, Van den Brandt P, Wentzensen N, Wilkens L, Yu H, Costas L. Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2). Sleep Medicine Reviews 2023, 72: 101848. PMID: 37716022, PMCID: PMC10840870, DOI: 10.1016/j.smrv.2023.101848.Peer-Reviewed Original ResearchConceptsNight shift workEndometrial Cancer ConsortiumEndometrial cancer riskEndometrial cancerSleep durationShift workPostmenopausal womenPooled analysisInverse associationOdds ratioCancer riskCancer ConsortiumNon-significant inverse associationStudy-specific odds ratiosEndometrial cancer casesStrong risk factorConfidence intervalsLong sleep durationDaily sleep durationObese womenRisk factorsCancer casesLogistic regressionIndividual dataCancerIdentification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects
Zhong H, Zhu J, Liu S, Ghoneim D, Surendran P, Liu T, Fahle S, Butterworth A, Alam A, Deng H, Yu H, Wu C, Wu L. Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects. Human Molecular Genetics 2023, 32: 3181-3193. PMID: 37622920, PMCID: PMC10630250, DOI: 10.1093/hmg/ddad139.Peer-Reviewed Original ResearchConceptsPCa riskProstate cancerHuge public health burdenEtiology of PCaBlood protein biomarkersConventional epidemiologic studiesProstate cancer riskPublic health burdenConventional observational studiesCancer Genome AtlasPCa patientsHealth burdenProtein biomarker candidatesObservational studyEpidemiologic studiesCancer riskTherapeutic strategiesCancer-related pathwaysSignificant associationBiomarker candidatesGenome AtlasProtein levelsDrug repurposingRiskPositive associationGenetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King S, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan V, Wilkens L, Shu X, Arslan A, Beane Freeman L, Bracci P, Canzian F, Du M, Gallinger S, Giles G, Goodman P, Haiman C, Kogevinas M, Kooperberg C, LeMarchand L, Neale R, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt S, Brais L, Brennan P, Buring J, Rabe K, Bamlet W, Chanock S, Fuchs C, Gaziano J, Giovannucci E, Hackert T, Hassan M, Katzke V, Kurtz R, Lee I, Malats N, Murphy N, Oberg A, Orlow I, Porta M, Real F, Rothman N, Sesso H, Silverman D, Thompson I, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin B, Duell E, Li D, Hung R, Perdomo S, McCullough M, Freedman N, Patel A, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden S, Kraft P, Risch H, Amundadottir L, Klein A, Stolzenberg-Solomon R, Antwi S. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1265-1269. PMID: 37351909, PMCID: PMC10529823, DOI: 10.1158/1055-9965.epi-23-0453.Peer-Reviewed Original ResearchConceptsNonalcoholic fatty liver diseasePancreatic cancer riskFatty liver diseasePancreatic cancerCancer riskLiver diseaseGenetic predispositionMendelian randomizationPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic Cancer Cohort ConsortiumPC risk factorsMR methodsRisk factorsGenome-wide association studiesGenetic susceptibilityLogistic regressionCancerMetabolic perturbationsMetabolic conditionsRiskDiseaseGenetic variantsAssociationPredispositionAssociation between use of antihypertensive drugs and the risk of cancer: a population-based cohort study in Shanghai
Wang S, Xie L, Zhuang J, Qian Y, Zhang G, Quan X, Li L, Yu H, Zhang W, Zhao W, Qian B. Association between use of antihypertensive drugs and the risk of cancer: a population-based cohort study in Shanghai. BMC Cancer 2023, 23: 425. PMID: 37165412, PMCID: PMC10173582, DOI: 10.1186/s12885-023-10849-8.Peer-Reviewed Original ResearchConceptsPopulation-based cohort studyTotal cancerAntihypertensive drugsHypertensive patientsCohort studyAntihypertensive medicinesThyroid cancerHigh riskPossible dose-response relationshipAntihypertensive drug administrationCommon antihypertensive drugsRisk of cancerCommunity healthcare centersDose-response relationshipMajor cancer typesAntihypertensive classesCancer casesMAIN OUTCOMECancer riskHealthcare centersDrug AdministrationPatientsSignificant associationCancerCancer typesMulti-omics profiling of papillary thyroid microcarcinoma reveals different somatic mutations and a unique transcriptomic signature
Li Q, Feng T, Zhu T, Zhang W, Qian Y, Zhang H, Zheng X, Li D, Yun X, Zhao J, Li Y, Yu H, Gao M, Qian B. Multi-omics profiling of papillary thyroid microcarcinoma reveals different somatic mutations and a unique transcriptomic signature. Journal Of Translational Medicine 2023, 21: 206. PMID: 36941725, PMCID: PMC10026500, DOI: 10.1186/s12967-023-04045-2.Peer-Reviewed Original ResearchConceptsTCGA patientsPositive thyroglobulin antibodiesPapillary thyroid microcarcinomaNew therapeutic hypothesesUnique transcriptomic signaturesImmune-related genesWhole-exome sequencingImmune interventionPeroxidase antibodiesThyroglobulin antibodiesEtiology of cancerRET fusionsThyroid microcarcinomaTCGA cohortBRAF mutationsPatientsDifferent somatic mutationsMulti-omics profilingLarger studyConclusionsOur findingsResultsIn additionExome sequencingTherapeutic hypothesesTranscriptomic signaturesMolecular landscapeGenetic variants of glucose metabolism and exposure to smoking in African American breast cancer.
Jung S, Papp J, Sobel E, Pellegrini M, Yu H. Genetic variants of glucose metabolism and exposure to smoking in African American breast cancer. Endocrine Related Cancer 2023, 30 PMID: 36705562, PMCID: PMC10095926, DOI: 10.1530/erc-22-0184.Peer-Reviewed Original ResearchConceptsInsulin resistanceBC riskLifestyle factorsSingle nucleotide polymorphismsAA womenRisk genotypesAfrican American postmenopausal womenAfrican-American breast cancerRisk of BCBreast cancer developmentDose-dependent mannerPostmenopausal womenPositive BCPredictive markerRisk factorsFemale hormonesBreast cancerGlucose metabolismMetabolic biomarkersGene-environment interaction analysisSmokingPreventive interventionsCancer developmentWhite womenIndividual single nucleotide polymorphismsAssociation of SNPs in the PAI1 Gene with Disease Recurrence and Clinical Outcome in Bladder Cancer
Murakami K, Furuya H, Hokutan K, Goodison S, Pagano I, Chen R, Shen C, Chan M, Ng C, Kobayashi T, Ogawa O, Miyake M, Thornquist M, Shimizu Y, Hayashi K, Wang Z, Yu H, Rosser C. Association of SNPs in the PAI1 Gene with Disease Recurrence and Clinical Outcome in Bladder Cancer. International Journal Of Molecular Sciences 2023, 24: 4943. PMID: 36902377, PMCID: PMC10003630, DOI: 10.3390/ijms24054943.Peer-Reviewed Original ResearchConceptsPlasminogen activator inhibitor-1Bladder cancerSingle nucleotide polymorphismsMutational statusWorse recurrence-free survivalUntranslated region (UTR) single nucleotide polymorphismRecurrence-free survivalBladder cancer developmentHuman bladder tumorsAssociation of SNPsCommon cancer typesActivator inhibitor-1Anti-apoptotic effectsOverall survivalDisease recurrenceClinical outcomesOverall incidenceBladder tumorsCaucasian patientsIndependent cohortCancer typesCancer developmentCancerInhibitor-1Cellular proliferation
2022
Pathogenesis to management of hepatocellular carcinoma
Da B, Suchman K, Lau L, Rabiee A, He A, Shetty K, Yu H, Wong L, Amdur R, Crawford J, Fox S, Grimaldi G, Shah P, Weinstein J, Bernstein D, Satapathy S, Chambwe N, Xiang X, Mishra L. Pathogenesis to management of hepatocellular carcinoma. Genes & Cancer 2022, 13: 72-87. PMID: 36533190, PMCID: PMC9746873, DOI: 10.18632/genesandcancer.226.Peer-Reviewed Original ResearchHepatocellular carcinomaCommon primary liver cancerEarly-stage hepatocellular carcinomaLiver-directed therapiesPathogenesis of HCCPrimary liver cancerMetastatic hepatocellular carcinomaViable animal modelAdvanced diseaseLiver resectionSystemic therapyPoor prognosisRisk factorsHCC managementHistological classificationLiver cancerNew therapiesAnimal modelsTherapyTissue samplingRelevant biomarkersAlcohol useMolecular targetsCarcinomaPathogenesis
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