Inflammatory cytokines and combined biomarker panels in pancreatic ductal adenocarcinoma: Enhancing diagnostic accuracy
Autor: | Yandiswa Y Yako, J. Devar, Martin Smith, Deirdre Kruger, Nicola Lahoud |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Oncology Male endocrine system diseases Physiology Logistic regression Pathology and Laboratory Medicine Biochemistry 0302 clinical medicine Immune Physiology Adenocarcinomas Medicine and Health Sciences Medicine Bile Prospective Studies Prospective cohort study Immune Response Innate Immune System Multidisciplinary Common bile duct Jaundice Middle Aged Body Fluids Neoplasm Proteins medicine.anatomical_structure Liver 030220 oncology & carcinogenesis Biomarker (medicine) Cytokines Female medicine.symptom Anatomy Research Article Carcinoma Pancreatic Ductal Adult medicine.medical_specialty Pancreatic ductal adenocarcinoma Science Immunology Carcinomas Proinflammatory cytokine 03 medical and health sciences Signs and Symptoms Diagnostic Medicine Internal medicine Carcinoma Cancer Detection and Diagnosis Biomarkers Tumor Humans Aged Inflammation business.industry Biology and Life Sciences Cancers and Neoplasms Bilirubin Molecular Development medicine.disease digestive system diseases Pancreatic Neoplasms 030104 developmental biology Immune System Biliary System Bile Ducts business Biomarkers Developmental Biology |
Zdroj: | PLoS ONE, Vol 14, Iss 8, p e0221169 (2019) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | BackgroundEarly diagnosis of pancreatic ductal adenocarcinoma (PDAC) is challenged by the absence of accurate early diagnostic and prognostic biomarkers. CA19-9 is the established, diagnostic tumour marker in PDAC, despite its limitations. Effective primary screening using circulating biomarker panels have only been considered in a handful of studies and we investigated whether combinations of inflammatory cytokines and angiogenic factors in multivariate logistic models could facilitate earlier diagnosis in our South African setting.MethodsPlasma levels of 38 cytokines and angiogenic factors were measured in 131 Black South African patients, 85 with PDAC, 25 with benign biliary pathology (BBP) and 21 benign non-HPB controls (BC), by use of human magnetic multiplex screening assays. Multivariate biomarker panels were developed by identifying the top performing biomolecules from univariate logistic regression. Receiver-operator characteristic (ROC) curves and area under the ROC curve (AUC) are reported.ResultsClassification modelling to distinguish PDAC patients from BC showed that a panel of CA19-9 and CXCL10 (IP-10) demonstrated improved diagnostic power over CA19-9 alone (AUC = 0.977 vs. AUC = 0.807, p-value = 0.001). A combined panel including age, BMI and IL-15 showed significant diagnostic power in discriminating PDAC from BBP (AUC = 0.952, p < 0.0001). Finally, a combined panel of IL-8, IL-15 and gender demonstrated diagnostic accuracy (AUC = 0.830, p < 0.0001) in distinguishing PDAC in the presence of jaundice from benign controls with either jaundice, choledocholithiasis or common bile duct injury.ConclusionsCombined biomarker panels improve diagnostic accuracy in PDAC. In addition to CA19-9, cytokines CXCL10, IL-8 and IL-15 are strong additions to diagnostic biomarker panels in PDAC in Black South Africans. |
Databáze: | OpenAIRE |
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