Abstract 3378: Targeted serum proteomics identifies a signature for use in multivariable logistic regression modeling to predict HCC
Rao S, Amdur R, Xiyan X, Shetty K, Yu H, Wong L, Jogunoori W, Amin K, Latham P, Mishra L. Abstract 3378: Targeted serum proteomics identifies a signature for use in multivariable logistic regression modeling to predict HCC. Cancer Research 2022, 82: 3378-3378. DOI: 10.1158/1538-7445.am2022-3378.Peer-Reviewed Original ResearchPositive predictive valueMultivariate logistic regressionTargeted serum proteomicsArea under the curveHepatocellular carcinomaReceiver operating characteristicTGF-bAmerican Association for Cancer Research annual meetingsClinical variablesDetect early HCCLogistic regressionEarly stage HCCHigh-throughput proteomic assayPrediction of hepatocellular carcinomaStages of hepatocellular carcinomaTGF-B pathwayFollow-up study of patientsStage hepatocellular carcinomaNon-HCC groupDetect hepatocellular carcinomaHepatocellular carcinoma groupEarly HCCHepatocellular carcinoma patientsSerum proteomeStudy of patients