Xinyi Shen, MPH
Postgraduate AssociateAbout
Research
Publications
2023
Discovery of decreased ferroptosis in male colorectal cancer patients with KRAS mutations
Yan H, Talty R, Jain A, Cai Y, Zheng J, Shen X, Muca E, Paty P, Bosenberg M, Khan S, Johnson C. Discovery of decreased ferroptosis in male colorectal cancer patients with KRAS mutations. Redox Biology 2023, 62: 102699. PMID: 37086630, PMCID: PMC10172914, DOI: 10.1016/j.redox.2023.102699.Peer-Reviewed Original ResearchConceptsKRAS mutant tumorsMale CRC patientsCRC patientsMale patientsKRAS mutationsMutant tumorsOverall survivalMale colorectal cancer patientsKRAS wild-type tumorsAberrant tumor metabolismColorectal cancer patientsCRC patient cohortsColorectal cancer casesFerroptosis-related genesWild-type tumorsNovel potential avenuesNormal colon tissuesPoor OSKRAS statusAdverse outcomesCRC cellsPatient cohortCancer patientsType tumorsCancer casesEarly-Onset Colorectal Cancer Somatic Gene Mutations by Population Subgroups.
Shen X, DeWan A, Johnson C. Early-Onset Colorectal Cancer Somatic Gene Mutations by Population Subgroups. Cancer Discovery 2023, 13: 530-531. PMID: 36855917, DOI: 10.1158/2159-8290.cd-22-1464.Peer-Reviewed Original ResearchIdentifying Sex-Specific Cancer Metabolites and Associations to Prognosis
Shen X, Ma S, Khan S, Johnson C. Identifying Sex-Specific Cancer Metabolites and Associations to Prognosis. Learning Materials In Biosciences 2023, 271-299. DOI: 10.1007/978-3-031-44256-8_11.Peer-Reviewed Original ResearchMetabolomics dataSurvival analysisCancer metabolitesColorectal cancerCox proportional hazards regression analysisProportional hazards regression analysisHazards regression analysisSex-specific associationsClinical dataCancer patientsCancer prognosisCancerMetabolomicsMultiple comparisonsPrognosisAnalytical methodSurvivalOncology studiesPatientsAlternative analytical approachRegression analysisSex-specificMetabolitesSex interactionAssociation
2022
Machine learning prediction of exposure to acrylamide based on modelling of association between dietary exposure and internal biomarkers
Wan X, Zhang Y, Gao S, Shen X, Jia W, Pan X, Zhuang P, Jiao J, Zhang Y. Machine learning prediction of exposure to acrylamide based on modelling of association between dietary exposure and internal biomarkers. Food And Chemical Toxicology 2022, 170: 113498. PMID: 36328216, DOI: 10.1016/j.fct.2022.113498.Peer-Reviewed Original ResearchConceptsDietary exposureElderly populationInternal exposureTotal energy intakeDietary acrylamide exposureChinese elderly populationAverage dietary intakeN-acetylExposure assessmentRegression modelsUrinary biomarkersDietary intakeUrinary contentAcrylamide exposureChinese cohortPhysical activityAccurate exposure assessmentEnergy intakeElderly participantsPotential health risksL-cysteineImportant covariatesLinear regression modelsHealth risksExposureBile acid distributions, sex-specificity, and prognosis in colorectal cancer
Cai Y, Shen X, Lu L, Yan H, Huang H, Gaule P, Muca E, Theriot CM, Rattray Z, Rattray NJW, Lu J, Ahuja N, Zhang Y, Paty PB, Khan SA, Johnson CH. Bile acid distributions, sex-specificity, and prognosis in colorectal cancer. Biology Of Sex Differences 2022, 13: 61. PMID: 36274154, PMCID: PMC9590160, DOI: 10.1186/s13293-022-00473-9.Peer-Reviewed Original ResearchConceptsLeft-sided colon tumorsRight-sided colon tumorsColon cancer patientsColorectal cancerTumor locationBile acidsColon tumorsCancer patientsQuantitative immunofluorescencePrimary tumor locationImmune regulatory cellsRecurrence-free survivalBile acid metabolismSecondary bile acidsBile acid distributionBile acid analysisBackgroundBile acidsOverall survivalRegulatory cellsCRC patientsMale patientsPatient sexImmune cellsPatient prognosisImmune responseAsparagine, colorectal cancer, and the role of sex, genes, microbes, and diet: A narrative review
Shen X, Jain A, Aladelokun O, Yan H, Gilbride A, Ferrucci LM, Lu L, Khan SA, Johnson CH. Asparagine, colorectal cancer, and the role of sex, genes, microbes, and diet: A narrative review. Frontiers In Molecular Biosciences 2022, 9: 958666. PMID: 36090030, PMCID: PMC9453556, DOI: 10.3389/fmolb.2022.958666.Peer-Reviewed Original ResearchColorectal cancerCRC patientsNarrative reviewSex steroid hormone estrogenFemale CRC patientsAnti-tumor effectsPI3K/Akt/Sex-related influencesSex-related factorsAsparagine synthetase expressionSex-specific factorsClinical outcomesTumor burdenCRC progressionPoor prognosisHormone estrogenEstrogen receptorSOX12 expressionRole of sexTherapeutic useAkt/Cancer cellsSynthetase expressionL-asparaginasePatientsAsparagine Metabolism in Tumors Is Linked to Poor Survival in Females with Colorectal Cancer: A Cohort Study
Shen X, Cai Y, Lu L, Huang H, Yan H, Paty PB, Muca E, Ahuja N, Zhang Y, Johnson CH, Khan SA. Asparagine Metabolism in Tumors Is Linked to Poor Survival in Females with Colorectal Cancer: A Cohort Study. Metabolites 2022, 12: 164. PMID: 35208238, PMCID: PMC8875032, DOI: 10.3390/metabo12020164.Peer-Reviewed Original ResearchRecurrence-free survivalOverall survivalColorectal cancer prognosisPoor overall survivalPrimary tumor tissuesTumor metabolomeUnique metabolite profilesCohort studyCRC patientsCRC treatmentFemale patientsPoor prognosisColorectal cancerPrognostic disadvantagePatient outcomesPoor survivalSurgical colectomySex-specific differencesCox proportionalEleven metabolitesUntargeted metabolomics analysisCancer prognosisStage ITumor tissueSignificant sex differencesAssociations of 3-monochloropropane-1,2-diol and glycidol with prevalence of metabolic syndrome: Findings from Lanxi Nutrition and Safety Study
Wan X, Jia W, Zhuang P, Wu F, Zhang Y, Shen X, Liu X, Zheng W, Jiao J, Zhang Y. Associations of 3-monochloropropane-1,2-diol and glycidol with prevalence of metabolic syndrome: Findings from Lanxi Nutrition and Safety Study. Environmental Research 2022, 209: 112746. PMID: 35063427, DOI: 10.1016/j.envres.2022.112746.Peer-Reviewed Original ResearchConceptsMetS prevalenceMetS casesRisk factorsAdult Treatment Panel III criteriaNational Cholesterol Education ProgramCholesterol Education ProgramBehavioral risk factorsPotential risk factorsUrinary creatinine contentPositive associationChinese elderly peoplePoisson regression modelsHypertriglyceridemia prevalencePrevalent MetSMetabolic syndromeUrinary biomarkersLowest quartileHigh prevalenceRelative riskElderly populationMercapturic acidsDietary exposurePrevalenceSafety studiesStrong positive association
2021
Egg and Dietary Cholesterol Consumption and the Prevalence of Metabolic Syndrome: Findings from a Population-Based Nationwide Cohort
Wu F, Zhuang P, Zhan C, Shen X, Jiao J, Zhang Y. Egg and Dietary Cholesterol Consumption and the Prevalence of Metabolic Syndrome: Findings from a Population-Based Nationwide Cohort. Journal Of The Academy Of Nutrition And Dietetics 2021, 122: 758-770.e5. PMID: 34506988, DOI: 10.1016/j.jand.2021.09.010.Peer-Reviewed Original ResearchConceptsDietary cholesterol intakeEggs/dCholesterol intakeCholesterol consumptionMetabolic syndromeMetS casesEgg consumptionHigher oddsNational Cholesterol Education Program Adult Treatment Panel III criteriaAdult Treatment Panel III criteriaFuture longitudinal cohort studiesWhole-fat dairy productsDietary cholesterol consumptionPrevalence of MetSTotal dietary cholesterolLongitudinal cohort studyTotal red meatCross-sectional studyHealthy Chinese adultsChinese Dietary GuidelinesTotal dietary intakeLogistic regression modelsHigh consumptionPrevalent MetS.Egg intake