Plasma protein profiling in a stage defined pancreatic cancer cohort – Implications for early diagnosis
| Autor: | Anna S. Gerdtsson, Malin Nordström, Carl A.K. Borrebaeck, Xin Wen, Payam Delfani, Christer Wingren, He Ren, Ulrika Ringdahl, Jihui Hao, Helena Persson |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Oncology Adult Male Proteomics Cancer Research medicine.medical_specialty Pathology Antibody microarray endocrine system diseases Disease White People Cohort Studies 03 medical and health sciences chemistry.chemical_compound Young Adult 0302 clinical medicine High-density lipoprotein Asian People Internal medicine Pancreatic cancer Genetics medicine Biomarkers Tumor Humans Young adult Research Articles Aged Neoplasm Staging Aged 80 and over Principal Component Analysis business.industry Case-control study General Medicine Blood Proteins Middle Aged medicine.disease digestive system diseases Pancreatic Neoplasms 030104 developmental biology chemistry 030220 oncology & carcinogenesis Case-Control Studies Cohort Molecular Medicine Female business Cohort study |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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