Prognostic biomarkers for pancreatic ductal adenocarcinoma: A contemporary systematic review and modelling study

doi:10.5528/wjtm.126295

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 4

This Article

(2)

(3)

(0)

(141)

Peer-Review Report of This Article

Journal Information of This Article

Publication Name

World Journal of Translational Medicine

ISSN

2220-6132

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Systematic Reviews

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Transl Med. Nov 28, 2026; 12(4): 126295
Published online Nov 28, 2026. doi: 10.5528/wjtm.126295

Full Size Figure Download Figure

Figure 8 Distribution of the least absolute shrinkage and selection operator-derived risk score in the external GSE71729 cohort. Patients are ranked by increasing risk score and stratified into low- and high-risk groups based on the median cut-off.

Citation: Tarara V, Panteris E, Varlamis S, Andreadou E, Pessach I, Bobos M, Chatzidimitriou M, Mitka S, Papoutsi A, Eleftheriou P, Skepastianos P, Karamitrousis E. Prognostic biomarkers for pancreatic ductal adenocarcinoma: A contemporary systematic review and modelling study. World J Transl Med 2026; 12(4): 126295
URL: https://www.wjgnet.com/2220-6132/full/v12/i4/126295.htm
DOI: https://dx.doi.org/10.5528/wjtm.126295

Tarara V, Panteris E, Varlamis S, Andreadou E, Pessach I, Bobos M, Chatzidimitriou M, Mitka S, Papoutsi A, Eleftheriou P, Skepastianos P, Karamitrousis E. Prognostic biomarkers for pancreatic ductal adenocarcinoma: A contemporary systematic review and modelling study. World J Transl Med 2026; 12(4): 126295 [DOI: 10.5528/wjtm.126295]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.