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Series GSE51798

Query DataSets for GSE51798

Status

Public on Apr 22, 2014

Title

Transcriptional dissection of pancreatic tumors engrafted in mice

Organism

Homo sapiens

Experiment type

Expression profiling by array
Third-party reanalysis

Summary

Engraftment of primary pancreas ductal adenocarcinomas (PDAC) in mice to generate patient derived xenograft (PDX) models is a promising platform to for biological and therapeutic studies in this disease. However, these models are still incompletely characterized. Here, we measured the impact of the murine environment on the gene expression of the engrafted human tumoral cells. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published microarray data from PDAC and hepatocellular carcinoma (HCC). Our results showed that PDX models derived from PDAC, or HCC, were clearly different to the cell lines derived from the same cancer tissues. Indeed, PDAC- and HCC-derived cell lines are indistinguishable one from the other based in their gene expression profiles. In contrast, the transcriptomes of PDAC and HCC PDX models are clearly different and more similar to their original tumor than to PDX models from the other tumor type. Interestingly, the main differences between pancreatic PDX models and human PDAC is the expression of genes involved in pathways related with extracellular matrix interactions and cell cycle regulation likely reflecting the adaptations of the tumors to the new environment. Furthermore, most of these differences are detected in the first passages after the tumor engraftment, indicating early phases of the adaptation process. In conclusion, different from conventional cancer cell lines, PDX models of PDAC retain similar gene expression profiles of PDAC. Expression changes are mainly related to genes involved in stromal pathways likely reflecting the adaptation to new environments. We also provide evidence of the stability of gene expression patterns over subsequent passages.

Overall design

We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published in GEO microarray data. We used PDX models, primary tumors and cell lines from PDAC and hepatocellular carcinoma. All these public data were re-process in order to compare with our 35 samples

Contributor(s)

Martínez-García R, Valencia A, Hidalgo M

Citation(s)

24739241

Submission date

Oct 28, 2013

Last update date

Mar 25, 2019

Contact name

Manuel Hidalgo

E-mail(s)

mhidalgo@cnio.es

Phone

+34917328000

Organization name

CNIO

Department

Clinical Research Programme

Lab

Gastrointestinal Cancer Clinical Research Unit

Street address

C/Melchor Fernandez Almagro 3

City

Madrid

State/province

Madrid

ZIP/Postal code

28029

Country

Spain

Platforms (1)

GPL570

[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array

Samples (37)

More...

GSM1252892	PDX_JH010
GSM1252893	PDX_JH011
GSM1252894	PDX_JH015

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BioProject

Download family	Format
SOFT formatted family file(s)	SOFT
MINiML formatted family file(s)	MINiML
Series Matrix File(s)	TXT

Supplementary file	Size	Download	File type/resource
GSE51798_PDX_and_PT_data_plus_reprocessed_data.txt.gz	94.2 Mb	(ftp)(http)	TXT
GSE51798_RAW.tar	170.1 Mb	(http)(custom)	TAR (of CEL)
Processed data included within Sample table
Processed data are available on Series record