Dataset Information

Integration of Proteomics, Phosphoproteomics and Kinomics Enables the Discovery of Anticancer Drugs for Pancreatic Cancer

ABSTRACT: Here we performed phosphoproteomic, kinome examination of surgical specimens and patient-derived cancer cell lines.Kinomics and phosphoproteomics identified changes in the activity of a number of identical protein kinases in PDAC tumors and tissue culture cells. This allowed us to use these kinases as small molecular inhibitor targets for successful in vitro PDAC cell eradication.

INSTRUMENT(S): Synapt G2 HDMS

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Algirdas Kaupinis

PROVIDER: MSV000089736 | MassIVE | Mon Jun 27 04:02:00 BST 2022

REPOSITORIES: MassIVE

ACCESS DATA

Similar Datasets

Project 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).

Dataset Information

Integration of Proteomics, Phosphoproteomics and Kinomics Enables the Discovery of Anticancer Drugs for Pancreatic Cancer

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure