| Literature DB >> 27522951 |
Anna Sandström Gerdtsson1, Christer Wingren2, Helena Persson3, Payam Delfani4, Malin Nordström5, He Ren6, Xin Wen7, Ulrika Ringdahl8, Carl A K Borrebaeck9, Jihui Hao10.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a disease where detection preceding clinical symptoms significantly increases the life expectancy of patients. In this study, a recombinant antibody microarray platform was used to analyze 213 Chinese plasma samples from PDAC patients and normal control (NC) individuals. The cohort was stratified according to disease stage, i.e. resectable disease (stage I/II), locally advanced (stage III) and metastatic disease (stage IV). Support vector machine analysis showed that all PDAC stages could be discriminated from controls and that the accuracy increased with disease progression, from stage I to IV. Patients with stage I/II PDAC could be discriminated from NC with high accuracy based on a plasma protein signature, indicating a possibility for early diagnosis and increased detection rate of surgically resectable tumors.Entities:
Keywords: Antibody microarrays; Biomarker signatures; Early detection; Pancreatic cancer; Recombinant antibodies
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Year: 2016 PMID: 27522951 PMCID: PMC5423191 DOI: 10.1016/j.molonc.2016.07.001
Source DB: PubMed Journal: Mol Oncol ISSN: 1574-7891 Impact factor: 6.603