MassIVE MSV000096431

Imported Reanalysis Dataset Public PXD032076

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

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Description

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. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Ffpe ; Pancreatic ductal adenocarcinoma ; Huamn ; Linear mixed model ; Lymph node ; Pdac ; Metastasis ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Jamie Feliu, Medical Oncology Service, Hospital Universitario La Paz-IdiPAZ, Madrid, N/A
Submitting User: ccms

Publications

Trilla-Fuertes L, Gámez-Pozo A, Lumbreras-Herrera MI, López-Vacas R, Heredia-Soto V, Ghanem I, López-Camacho E, Zapater-Moros A, Miguel M, Peña-Burgos EM, Palacios E, De Uribe M, Guerra L, Dittmann A, Mendiola M, Fresno Vara JÁ, Feliu J.
Identification of Carcinogenesis and Tumor Progression Processes in Pancreatic Ductal Adenocarcinoma Using High-Throughput Proteomics.
Cancers (Basel). Epub 2022 May 13.

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Identification Results
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Quantification Results
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When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.