Proteomics

Dataset Information

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Identification of carcinogenesis and tumor progression processes in pancreatic ductal adenocarcinoma using high-throughput proteomics


ABSTRACT: Pancreatic adenocarcinoma (PDAC) is an aggressive disease with an overall 5 year-survival rate of just 5%. A better understanding of both the carcinogenesis processes and the mechanisms of progression of PDAC disease is mandatory. For this, proteomics data from FFPE samples of 173 primary tumor, normal tissue, preneoplastic lesions (PanIN), or lymph node metastases were analyzed from a Systems Biology perspective. Protein expression data was analyzed using probabilistic graphical models, allowing functional characterization. Functional node activities were calculated as the mean of expression of those proteins related to the main function of each node. Comparisons between groups were done using linear mixed models.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Pancreas

DISEASE(S): Pancreatic Ductal Adenocarcinoma

SUBMITTER: Antje Dittmann  

LAB HEAD: Jamie Feliu

PROVIDER: PXD032076 | Pride | 2022-06-21

REPOSITORIES: pride

Dataset's files

Source:
Action DRS
20200618_002_S216289_69_rep2.raw Raw
20200618_003_S216286_66_rep2.raw Raw
20200618_004_S216268_48_rep.raw Raw
20200618_005_S216277_57_rep.raw Raw
20200618_007_S216295_75_rep.raw Raw
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Publications


Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with an overall 5-year survival rate of just 5%. A better understanding of the carcinogenesis processes and the mechanisms of the progression of PDAC is mandatory. Fifty-two PDAC patients treated with surgery and adjuvant therapy, with available primary tumors, normal tissue, preneoplastic lesions (PanIN), and/or lymph node metastases, were selected for the study. Proteins were extracted from small punches and analyzed by LC-MS/MS  ...[more]

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