Prediction of colorectal cancer diagnosis based on circulating plasma proteins
Surinova S, Choi M, Tao S, Schüffler PJ, Chang CY, Clough T, Vysloužil K, Khoylou M, Srovnal J, Liu Y, Matondo M, Hüttenhain R, Weisser H, Buhmann JM, Hajdúch M, Brenner H, Vitek O, Aebersold R. Prediction of colorectal cancer diagnosis based on circulating plasma proteins. EMBO Molecular Medicine 2015, 7: 1166-1178. PMID: 26253081, PMCID: PMC4568950, DOI: 10.15252/emmm.201404873.Peer-Reviewed Original ResearchConceptsColorectal cancer diagnosisBlood-based markersColorectal cancer detectionPatient's systemic circulationColorectal cancerSystemic circulationIndependent cohortCritical clinical needNon-invasive detectionDiagnostic valueClinical needTissue epitheliumCancer diagnosisPlasma samplesBiomarker signaturesPlasma proteinsBlood plasmaProtein biomarkersCancer detectionCandidate glycoproteinsClinical datasetsMass spectrometry-based approachCohortCancerDiagnosisQuantitative variability of 342 plasma proteins in a human twin population
Liu Y, Buil A, Collins BC, Gillet L, Blum LC, Cheng LY, Vitek O, Mouritsen J, Lachance G, Spector TD, Dermitzakis ET, Aebersold R. Quantitative variability of 342 plasma proteins in a human twin population. Molecular Systems Biology 2015, 11: msb145728. PMID: 25652787, PMCID: PMC4358658, DOI: 10.15252/msb.20145728.Peer-Reviewed Original ResearchConceptsQuantitative variabilityUnique plasma proteinsBlood-based biomarker studiesGenetic controlBiological processesDifferent proteinsDifferent traitsPlasma proteinsProteinAbundance variabilityProtein levelsHuman populationMass spectrometry techniquesSpecific plasma proteinsHuman plasma proteinsGenesRelative contributionTraitsHeritabilitySpectrometry techniquesTwin study designDifferent patternsPopulationClinical biomarkersVariability