Advanced

Plasma protein profiling in a stage defined pancreatic cancer cohort – Implications for early diagnosis

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 (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)
Please use this url to cite or link to this publication:
author
organization
publishing date
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
  • scopus:84981747462
  • wos:000384391900014
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
2017-08-17 03:00:24
@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},
  keyword      = {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},
  volume       = {10},
  year         = {2016},
}