2023
Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Nagaraj G, Vinayak S, Khaki A, Sun T, Kuderer N, Aboulafia D, Acoba J, Awosika J, Bakouny Z, Balmaceda N, Bao T, Bashir B, Berg S, Bilen M, Bindal P, Blau S, Bodin B, Borno H, Castellano C, Choi H, Deeken J, Desai A, Edwin N, Feldman L, Flora D, Friese C, Galsky M, Gonzalez C, Grivas P, Gupta S, Haynam M, Heilman H, Hershman D, Hwang C, Jani C, Jhawar S, Joshi M, Kaklamani V, Klein E, Knox N, Koshkin V, Kulkarni A, Kwon D, Labaki C, Lammers P, Lathrop K, Lewis M, Li X, de Lima Lopes G, Lyman G, Makower D, Mansoor A, Markham M, Mashru S, McKay R, Messing I, Mico V, Nadkarni R, Namburi S, Nguyen R, Nonato T, O'Connor T, Panagiotou O, Park K, Patel J, Patel K, Peppercorn J, Polimera H, Puc M, Rao Y, Razavi P, Reid S, Riess J, Rivera D, Robson M, Rose S, Russ A, Schapira L, Shah P, Shanahan M, Shapiro L, Smits M, Stover D, Streckfuss M, Tachiki L, Thompson M, Tolaney S, Weissmann L, Wilson G, Wotman M, Wulff-Burchfield E, Mishra S, French B, Warner J, Lustberg M, Accordino M, Shah D. Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study. ELife 2023, 12: e82618. PMID: 37846664, PMCID: PMC10637772, DOI: 10.7554/elife.82618.Peer-Reviewed Original ResearchConceptsCOVID-19 severityWorse COVID-19 outcomesCOVID-19 outcomesBreast cancerCause mortalityCohort studyAcute respiratory syndrome coronavirus 2 infectionCOVID-19Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionRegistry-based retrospective cohort studyHistory of BCIntensive care unit admissionNon-Hispanic white patientsSyndrome coronavirus 2 infectionWorse ECOG performance statusMultivariable ordinal logistic regression modelsCare unit admissionCoronavirus 2 infectionECOG performance statusRetrospective cohort studyPacific Islander patientsCoronavirus disease 2019American Cancer SocietyLogistic regression modelsResearch grant support
2021
Genomic features of rapid versus late relapse in triple negative breast cancer
Zhang Y, Asad S, Weber Z, Tallman D, Nock W, Wyse M, Bey JF, Dean KL, Adams EJ, Stockard S, Singh J, Winer EP, Lin NU, Jiang YZ, Ma D, Wang P, Shi L, Huang W, Shao ZM, Cherian M, Lustberg MB, Ramaswamy B, Sardesai S, VanDeusen J, Williams N, Wesolowski R, Obeng-Gyasi S, Sizemore GM, Sizemore ST, Verschraegen C, Stover DG. Genomic features of rapid versus late relapse in triple negative breast cancer. BMC Cancer 2021, 21: 568. PMID: 34006255, PMCID: PMC8130400, DOI: 10.1186/s12885-021-08320-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkers, TumorChemotherapy, AdjuvantDatasets as TopicDisease-Free SurvivalDNA Copy Number VariationsFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLogistic ModelsMastectomyMiddle AgedModels, GeneticMutationNeoadjuvant TherapyNeoplasm Recurrence, LocalPrognosisRisk AssessmentTime FactorsTriple Negative Breast NeoplasmsConceptsLate relapseRapid relapseImmune signaturesBreast cancerAnti-tumor CD8 T cellsBackgroundTriple-negative breast cancerTriple-negative breast cancerCD8 T cellsTumor mutation burdenIndependent validation cohortNegative breast cancerFisher's exact testPearson's chi-squared testChi-squared testLogistic regression modelsLuminal signaturePrimary TNBCTNBC subsetImmune subsetsClinical featuresValidation cohortWhole-genome copy numberPrimary tumorM1 macrophagesT cells