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Series GSE55513 Query DataSets for GSE55513
Status Public on Apr 09, 2015
Title Transcriptome Analysis Predicts Clinical Outcome and Sensitivity to Anticancer Drugs of patients with a Pancreatic Adenocarcinoma
Organism Homo sapiens
Experiment type Expression profiling by array
Summary A major impediment to the effective treatment of patients with PDAC (Pancreatic Ductal Adenocarcinoma) is the molecular heterogeneity of the disease, which is reflected in an equally diverse pattern of clinical responses to therapy. We developed an efficient strategy in which PDAC samples from 17 consecutively patients were obtained by EUS-FNA or surgery, their cells maintained as a primary culture and tumors as breathing tumors by xenografting in immunosuppressed mice. For these patients a clinical follow up was obtained. On the breathing tumors we studied the RNA expression profile by an Affymetrix approach. We observed a significant heterogeneity in their RNA expression profile, however, the transcriptome was able to discriminate patients with long- or short-time survival which correspond to moderately- or poorly-differentiated PDAC tumors respectively. Cells allowed us the possibility to analyze their relative sensitivity to several anticancer drugs in vitro by developing a chimiogram, like an antibiogram for microorganisms, with several anticancer drugs for obtaining an individual profile of drug sensitivity and as expected, the response was patient-dependent. Interestingly, using this approach, we also found that the transcriptome analysis could predict the sensitivity to some anticancer drugs of patients with a PDAC. In conclusion, using this approach, we found that the transcriptome analysis could predict the sensitivity to some anticancer drugs and the clinical outcome of patients with a PDAC.
 
Overall design PDAC samples from 17 consecutively patients were obtained by Endoscopic Ultrasound-Guided Fine-Needle Aspiration (EUS-FNA) or surgery. Consents of informed patients were collected, and the ethics review board of the three centers approved the study. All samples were anonymized and obtained in accordance with institutional review boards. EUS-FNA cells were maintained as a primary culture and tumors as breathing tumors by xenografting in immunosuppressed mice. We characterized 17 PDAC-derived xenografts by duplicate. Total RNA was extracted and hybridized on Human Gene 2.0 (Genechip, Affymetrix) as described previously (Hamidi et al. JCI 122: 2092-2103, 2012).
 
Contributor(s) Duconseil P, Gilabert M, Gayet O, Loncle C, Moutardier V, Turrini O, Calvo E, Ewald J, Giovannini M, Gasmi M, Bories E, Barthet M, Ouaissi M, Goncalves A, Raoul J, Secq V, Garcia S, Viens P, Iovanna J, Dusetti N
Citation(s) 25765988, 28275007, 29844366, 29161242
Submission date Mar 03, 2014
Last update date Jul 08, 2019
Contact name Ezequiel L Calvo
E-mail(s) cezequiel@yahoo.com
Organization name CRCHUL
Department Molecular Endocrinilogy
Lab Microarrays
Street address 2705 Boul. Laurier
City Quebec
State/province Quebec
ZIP/Postal code G1V 4G2
Country Canada
 
Platforms (1)
GPL16686 [HuGene-2_0-st] Affymetrix Human Gene 2.0 ST Array [transcript (gene) version]
Samples (34)
GSM1338416 PDAC xenograft from patient 01.001-rep 1
GSM1338417 PDAC xenograft from patient 01.001-rep 2
GSM1338418 PDAC xenograft from patient H-Nor-rep 1
Relations
BioProject PRJNA239817

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE55513_RAW.tar 303.3 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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