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E-GEOD-55513 - Transcriptome Analysis Predicts Clinical Outcome and Sensitivity to Anticancer Drugs of patients with a Pancreatic Adenocarcinoma

Status
Released on 9 April 2015, last updated on 10 April 2015
Organism
Homo sapiens
Samples (34)
Array (1)
Protocols (6)
Description
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. 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).
Experiment type
transcription profiling by array 
Contacts
Ezequiel L Calvo <ecalvo@crchul.ulaval.ca>, Anthony Goncalves, Celine Loncle, Erwan Bories, Ezequiel Calvo, Jacques Ewald, Jean Raoul, Juan Iovanna, Marc Barthet, Marc Giovannini, Marine Gilabert, Mehdi Ouaissi, Mohamed Gasmi, Nelson Dusetti, Odile Gayet, Olivier Turrini, Patrice Viens, Pauline Duconseil, Stephane Garcia, Veronique Secq, Vincent Moutardier
Citation
Transcriptomic analysis predicts survival and sensitivity to anticancer drugs of patients with a pancreatic adenocarcinoma. 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, Poizat F, Raoul JL, Secq V, Garcia S, Viens P, Iovanna J, Dusetti N.
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-55513.idf.txt
Sample and data relationshipE-GEOD-55513.sdrf.txt
Raw data (2)E-GEOD-55513.raw.1.zip, E-GEOD-55513.raw.2.zip
Processed data (1)E-GEOD-55513.processed.1.zip
Array designA-GEOD-16686.adf.txt
Links