Xinyi Shen, MPH
Postgraduate AssociateAbout
Titles
Postgraduate Associate
Biography
PhD candidate in EHS at YSPH
MPH in CDE at YSPH, class of 2021
Appointments
Departments & Organizations
Education & Training
- MPH
- Yale School of Public Health (2021)
Research
Overview
Sex differences in cancer metabolism and drug response using bioinformatics approaches.
ORCID
0000-0001-6519-9311
Research at a Glance
Yale Co-Authors
Frequent collaborators of Xinyi Shen's published research.
Publications Timeline
A big-picture view of Xinyi Shen's research output by year.
Caroline Helen Johnson, PhD
Sajid A Khan, MD, FACS, FSSO
Lingeng Lu, MD, PhD
Abhishek Jain, PhD, ME, BEngSci
Andrew DeWan, PhD, MPH
Jun Lu, PhD
12Publications
218Citations
Publications
2024
Asparagine synthetase and G‐protein coupled estrogen receptor are critical responders to nutrient supply in KRAS mutant colorectal cancer
Lu L, Zhang Q, Aladelokun O, Berardi D, Shen X, Marin A, Garcia‐Milian R, Roper J, Khan S, Johnson C. Asparagine synthetase and G‐protein coupled estrogen receptor are critical responders to nutrient supply in KRAS mutant colorectal cancer. International Journal Of Cancer 2024 PMID: 39039782, DOI: 10.1002/ijc.35104.Peer-Reviewed Original ResearchCitationsConceptsG protein-coupled estrogen receptor 1KRAS mutant colorectal cancerAsparagine synthetase expressionMutant colorectal cancerColorectal cancerAsparagine synthetaseG-protein coupled estrogen receptor 1 expressionG protein-coupled estrogen receptorWild-typeAssociated with poor overall survivalAdvanced stage tumorsKRAS wild-typeProtective effect of estradiolEffects of estradiolPoor overall survivalEstrogen receptor 1Expression of asparagine synthetasePresence of estradiolIncreased caspase-3 activityDepletion inhibited cell growthColon cancer cohortNutrient supplyAdvanced tumorsOverall survivalStage tumors
2023
TheMarker: a comprehensive database of therapeutic biomarkers
Zhang Y, Zhou Y, Zhou Y, Yu X, Shen X, Hong Y, Zhang Y, Wang S, Mou M, Zhang J, Tao L, Gao J, Qiu Y, Chen Y, Zhu F. TheMarker: a comprehensive database of therapeutic biomarkers. Nucleic Acids Research 2023, 52: d1450-d1464. PMID: 37850638, PMCID: PMC10767989, DOI: 10.1093/nar/gkad862.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsClinical practiceTherapeutic biomarkersTherapy-induced toxicityClinical outcomesPredictive biomarkersPharmacodynamic biomarkersClinical managementPrognostic biomarkerSafety biomarkersClinical developmentPatient statusPharmacological effectsMonitoring biomarkerTherapyBiomarkersAnticancer therapyDrug developmentDrug discoveryDisease classesStatusDatabaseTTD: Therapeutic Target Database describing target druggability information
Zhou Y, Zhang Y, Zhao D, Yu X, Shen X, Zhou Y, Wang S, Qiu Y, Chen Y, Zhu F. TTD: Therapeutic Target Database describing target druggability information. Nucleic Acids Research 2023, 52: d1465-d1477. PMID: 37713619, PMCID: PMC10767903, DOI: 10.1093/nar/gkad751.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsDiscovery 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsKRAS 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsIdentifying 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 ResearchConceptsMetabolomics 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 ResearchCitationsMeSH Keywords and ConceptsConceptsDietary 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLeft-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 ResearchCitationsAltmetricConceptsColorectal 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 ResearchCitationsAltmetricConceptsRecurrence-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 differences
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