Plasma protein profiling in a stage defined pancreatic cancer cohort – Implications for early diagnosis
(2016) In Molecular Oncology 10(8). p.1305-1316- 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... (More)
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.
(Less)
- author
- Gerdtsson, Anna Sandström LU ; Wingren, Christer LU ; Persson, Helena LU ; Delfani, Payam LU ; Nordström, Malin LU ; Ren, He ; Wen, Xin ; Ringdahl, Ulrika LU ; Borrebaeck, Carl A K LU and Hao, Jihui
- organization
- publishing date
- 2016-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Antibody microarrays, Biomarker signatures, Early detection, Pancreatic cancer, Recombinant antibodies
- in
- Molecular Oncology
- volume
- 10
- issue
- 8
- pages
- 12 pages
- publisher
- Elsevier
- external identifiers
-
- pmid:27522951
- wos:000384391900014
- scopus:84981747462
- ISSN
- 1574-7891
- DOI
- 10.1016/j.molonc.2016.07.001
- language
- English
- LU publication?
- yes
- id
- 40b8d5ef-9c18-4243-b7b1-39ae386a80f3
- date added to LUP
- 2016-11-16 11:59:42
- date last changed
- 2025-01-12 15:16:13
@article{40b8d5ef-9c18-4243-b7b1-39ae386a80f3, abstract = {{<p>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.</p>}}, author = {{Gerdtsson, Anna Sandström and Wingren, Christer and Persson, Helena and Delfani, Payam and Nordström, Malin and Ren, He and Wen, Xin and Ringdahl, Ulrika and Borrebaeck, Carl A K and Hao, Jihui}}, issn = {{1574-7891}}, keywords = {{Antibody microarrays; Biomarker signatures; Early detection; Pancreatic cancer; Recombinant antibodies}}, language = {{eng}}, month = {{10}}, number = {{8}}, pages = {{1305--1316}}, publisher = {{Elsevier}}, series = {{Molecular Oncology}}, title = {{Plasma protein profiling in a stage defined pancreatic cancer cohort – Implications for early diagnosis}}, url = {{http://dx.doi.org/10.1016/j.molonc.2016.07.001}}, doi = {{10.1016/j.molonc.2016.07.001}}, volume = {{10}}, year = {{2016}}, }