Dataset Information

LC7 Proteomic Analysis of Matched Control and NSCLC Lung Adenocarcinoma Tissue.

ABSTRACT: Non-small cell lung adenocarcinoma is the most frequently diagnosed lung cancer type and remains the leading cause of cancer mortality for men and women in the United States. Management of lung cancer is hindered by high false-positive rates due to the inability to resolve benign versus malignant tumors. Therefore, better molecular analysis comparing malignant and non-malignant tissues will provide additional evidence of the underlying biology contributing to tumorigenesis. In the current study, we utilized a proteomics approach to analyze 38 malignant and non-malignant paired tissue samples obtained from current or former smokers with early stage (Stage IA/IB) lung adenocarcinoma. Statistical mixed effects modeling and orthogonal partial least squares discriminant analysis were used to identify key cancer-associated perturbations in the malignant tissue proteome. Identified proteins were subsequently assessed against clinicopathological variables.

INSTRUMENT(S): Q Exactive

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

SUBMITTER: Suzanne Miyamoto

PROVIDER: MSV000080825 | MassIVE | Fri Mar 31 13:34:00 BST 2017

SECONDARY ACCESSION(S): PXD002612

REPOSITORIES: MassIVE

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Publications

Proteomic profiling of lung adenocarcinoma indicates heightened DNA repair, antioxidant mechanisms and identifies LASP1 as a potential negative predictor of survival.

Fahrmann Johannes F JF Grapov Dmitry D Phinney Brett S BS Stroble Carol C DeFelice Brian C BC Rom William W Gandara David R DR Zhang Yanhong Y Fiehn Oliver O Pass Harvey H Miyamoto Suzanne S

Clinical proteomics 20161027

<h4>Background</h4>Lung cancer is the leading cause of cancer mortality in the United States. Non-small cell lung cancer accounts for 85% of all lung cancers for which adenocarcinoma is the most common histological type. Management of lung cancer is hindered by high false-positive rates due to difficulty resolving between benign and malignant tumors. Better molecular analysis comparing malignant and non-malignant tissues will provide important evidence of the underlying biology contributing to t ...[more]

PMID: 27799870

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