2020
How current assay approval policies are leading to unintended imprecision medicine
Salgado R, Bellizzi AM, Rimm D, Bartlett JMS, Nielsen T, Holger M, Laenkholm AV, Quinn C, Cserni G, Cunha IW, Alvarado-Cabrero I, Cree I. How current assay approval policies are leading to unintended imprecision medicine. The Lancet Oncology 2020, 21: 1399-1401. PMID: 33098760, DOI: 10.1016/s1470-2045(20)30592-1.Peer-Reviewed Original ResearchBiomarkers in Precision Cancer Immunotherapy: Promise and Challenges.
McKean WB, Moser JC, Rimm D, Hu-Lieskovan S. Biomarkers in Precision Cancer Immunotherapy: Promise and Challenges. American Society Of Clinical Oncology Educational Book 2020, 40: e275-e291. PMID: 32453632, DOI: 10.1200/edbk_280571.Peer-Reviewed Original ResearchConceptsHost immune defectsPrecision cancer immunotherapyHealth care burdenCurrent treatment modalitiesSignificant side effectsSustained remissionClinical responseCheckpoint inhibitionImmune defectsRefractory malignanciesCancer immunotherapeuticsClinical benefitPatient survivalCancer immunotherapyPredictive biomarkersTreatment modalitiesCare burdenPatient responseSide effectsTrial designTumor parenchymaClinical useBiomarker developmentBiomarkersMultiple biomarkers
2019
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology. Nature Reviews Clinical Oncology 2019, 16: 703-715. PMID: 31399699, PMCID: PMC6880861, DOI: 10.1038/s41571-019-0252-y.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceHumansMedical OncologyNeoplasmsPathology, ClinicalPrecision MedicineConceptsArtificial intelligenceMachine learning toolsDigital pathologyUse of AIDeep neural networksLearning toolsStained tissue specimensWhole slide imagesFeature-based methodologyNeural networkIntelligencePotential future opportunitiesMorphometric phenotypesNetworkValidation datasetComputational approachToolMiningEnormous divergenceDatasetImagesPrecision oncologyFrameworkComplex processFuture opportunitiesAddressing the dichotomy between individual and societal approaches to personalised medicine in oncology
Salgado R, Solit DB, Rimm DL, Bogaerts J, Canetta R, Lively T, Lyerly K, Span PN, Bateman-House A, Makady A, Bergmann L, Nagai S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Lambin P, Thomas M, Harris L, Lacombe D, Massard C, Bernards R, Bogaerts J, Canetta R, Sullivan R, Tejpar S, Lukinova N, Lyerly H, Moore H, Smith M, Yee L, DuBois R, Hahn W, Janne P, Solit D, Willman C, Rimm D, Bateman-House A, Makady A, Bergmann L, Nagai S, Thomas M, Cree I, Hegde P, Hopper S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Ingelman-Sundberg M, Nichols G, Maignen F, Besse B, Swierzewski R, Lambin P, Kiermaier A, Lacombe D, Lively T, Massard C, Caliguri M, Velculescu V, Foggi P, Hahn W, Lukinova N, Salgado R, Golfinopoulos V. Addressing the dichotomy between individual and societal approaches to personalised medicine in oncology. European Journal Of Cancer 2019, 114: 128-136. PMID: 31060925, DOI: 10.1016/j.ejca.2019.03.025.Peer-Reviewed Original ResearchConceptsReal-world evidenceClinical trialsSystemic therapeutic interventionsNovel clinical trialsNovel trial designsCancer clinical researchComprehensive tumor profilingHealth care delivery systemTumor-derived DNAIndividual molecular profileCancer drug developmentGold standard approachPatient tumorsClinical utilityTrial designTherapeutic interventionsTumor profilingPatient advocatesClinical researchMolecular profileDrug developmentTrialsPhysician autonomyDelivery systemPatients
2017
Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function
Choi M, Kadara H, Zhang J, Parra ER, Rodriguez-Canales J, Gaffney SG, Zhao Z, Behrens C, Fujimoto J, Chow C, Kim K, Kalhor N, Moran C, Rimm D, Swisher S, Gibbons DL, Heymach J, Kaftan E, Townsend JP, Lynch TJ, Schlessinger J, Lee J, Lifton RP, Herbst RS, Wistuba II. Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function. Annals Of Oncology 2017, 28: 83-89. PMID: 28177435, PMCID: PMC6246501, DOI: 10.1093/annonc/mdw437.Peer-Reviewed Original ResearchConceptsLung squamous cell carcinomaEarly stage lung squamous cell carcinomaNon-small cell lung cancerSquamous cell carcinomaWhole-exome sequencingImmune markersClinical outcomesCell carcinomaPIK3CA mutationsExact testPoor recurrence-free survivalProportional hazards regression modelsTumoral PD-L1 expressionPD-L1 expressionRecurrence-free survivalCell lung cancerComprehensive immune profilingTP53 mutant tumorsHazards regression modelsNormal lung tissuesFisher's exact testLUSC cohortAdjuvant therapyImmune profilingPoor prognosis