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

Author:
  • Anna Sandström Gerdtsson
  • Christer Wingren
  • Helena Persson
  • Payam Delfani
  • Malin Nordström
  • He Ren
  • Xin Wen
  • Ulrika Ringdahl
  • Carl A K Borrebaeck
  • Jihui Hao
Publishing year: 2016-10-01
Language: English
Pages: 1305-1316
Publication/Series: Molecular Oncology
Volume: 10
Issue: 8
Document type: Journal article
Publisher: Elsevier

Abstract english

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.

Keywords

  • Cancer and Oncology
  • Antibody microarrays
  • Biomarker signatures
  • Early detection
  • Pancreatic cancer
  • Recombinant antibodies

Other

Published
  • ISSN: 1574-7891
Carl B
Carl Borrebaeck
E-mail: carl [dot] borrebaeck [at] immun [dot] lth [dot] se

Professor

Department of Immunotechnology

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Director

Create Health

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