MassIVE MSV000080236

Partial Public PXD005116

Comparative Tissue Proteomics for the Diagnosis of Indeterminate Pulmonary Nodules

Description

We identified candidate protein biomarkers to distinguish lung adenocarcinomas from benign nodules. We employed shotgun proteomics using a multidimensional peptide separation approach coupled to tandem mass spectrometry (LC-MS/MS) to characterize proteomes of a collection of 34 benign lung nodules. The benign lung nodule inventories were compared to inventories from early stage lung adenocarcinomas, from 24 patients with non-adjuvant treatment following the resection, and to inventories from normal tissue collected from 10 patients as bronchial and alveolar epithelium to identify biomarkers.We developed PRM assays to quantify a subset of 43 candidate biomarker proteins via 170 tryptic peptides in a single LC-PRM-MS run using a validation cohort of 20 benign nodules, 20 adenocarcinoma, and 20 normal lung tissues. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Granuloma, Shotgun Proteomics, Parallel Reaction Monitoring, Adenocarcinoma

Contact

Principal Investigators:
(in alphabetical order)
Daniel Liebler
Submitting User: rslebos

Publications

Rahman SM, Ji X, Zimmerman LJ, Li M, Harris BK, Hoeksema MD, Trenary IA, Zou Y, Qian J, Slebos RJ, Beane J, Spira A, Shyr Y, Eisenberg R, Liebler DC, Young JD, Massion PP.
The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer.
JCI Insight. 2016 Nov 17;1(19):e88814. Epub 2016 Dec 17.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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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.

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

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