Supplementary Figure 3 from Identification of a Three-Biomarker Panel in Urine for Early Detection of Pancreatic Adenocarcinoma

Autor: Tatjana Crnogorac-Jurcevic, Nick R. Lemoine, William Greenhalf, Eithne Costello, John Neoptolemos, Núria Malats, Francisco X. Real, Cristiane Murta-Nascimento, Luisa Guarner (posthumous), Stephen P. Pereira, Hemant M. Kocher, Stephen W. Duffy, Darren Ennis, Laurent Dumartin, Wasfi Alrawashdeh, Richard Jones, Nathalie J. Massat, Tomasz P. Radon
Rok vydání: 2023
DOI: 10.1158/1078-0432.22455278
Popis: Diagnostic performance of urine biomarkers in discriminating pancreatic adenocarcinoma all stages (A-C) and stage I-II (D-F) from chronic pancreatitis patients. A, ROC curves of PDAC (n=143) versus CP (n=62) patients for individual urine biomarkers in the training set (70% of the data). B, ROC curves of PDAC versus CP patients for the panel in the training set and in the independent validation set (30% of the data, PDAC n=49, CP n=30). C, Summary table. D, ROC curves of individual urine biomarkers in training dataset (70%, PDAC stage I-II n= 56, CP=66). E, ROC curves of the panel in training and validation (PDAC stage I-II n=15, CP n=26) dataset. F, Summary table. Cnorm, creatinine-normalised, creat, creatinine, AUC: area under the curve SN: sensitivity, SP: specificity with 95% Confidence Interval (CI). SN and SP in the validation set were derived for optimal cutpoint determined in the training dataset.
Databáze: OpenAIRE