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A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.
Authors
A Jemal
A Stathis
+58 more
Ai Nagano
Aldo Scarpa
Ami Desai
AV Biankin
C Curtis
C Winter
Cancer Genome Atlas Research Network
CGA Network
Claude Chelala
CQ Zhu
D Cox
EA Collisson
F Maione
FM Buffa
G Zhang
H Huang
H Janouskova
H Pei
Hemant M Kocher
HH Wong
I Kovacevic
J Adachi
JA Tercero
JD Mosley
JK Stratford
John F Marshall
Jude Fitzgibbon
Jun Wang
K Yoshihara
L Badea
Laurent Dumartin
M Hidalgo
M Taniwaki
MA Tempero
MF Brennan
MM Al-Hawary
MW Muller
N Wasif
NF Li
Nicholas R Lemoine
NL Anderson
PA Perez-Mancera
PC Boutros
PG Febbo
PJ Campbell
Prabhu Arumugam
R Grutzmann
R Grutzmann
RR Plentz
S Jones
SJ Coleman
SV Srinivasan
Syed Haider
T Barrett
Tatjana Crnogorac-Jurcevic
Thorsten Hagemann
TR Donahue
VH Coupland
Publication date
1 January 2014
Publisher
'Springer Science and Business Media LLC'
Doi
View
on
PubMed
Abstract
© 2014 Haider et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.Improved usage of the repertoires of pancreatic ductal adenocarcinoma (PDAC) profiles is crucially needed to guide the development of predictive and prognostic tools that could inform the selection of treatment options
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