Dataset Information

Proteogenomic Landscape of Squamous Cell Lung Cancer 2: Tandem Mass Tag Datasets

ABSTRACT: We report an integrated analysis incorporating DNA copy number analyses, somatic exon mutations, mRNA expression via RNA-sequencing, and shotgun mass spectrometry analysis of protein abundance in 108 surgically resected squamous cell lung cancers (SCC) with accompanying clinical outcome, evaluation of tumor pathology, and other clinically relevant data. We identified three major subtypes of SCC at the proteomic level, with two groups associated with inflammation/immune response or oxidation-reduction biology. Inflamed tumors could be further sub-classified based on neutrophil infiltration or antigen presentation proteomes and reflected patterns of infiltrating immune cells. No gene mutations, mRNA signatures, or proteomic subclasses were associated with outcomes; however, the presence of B-cell rich tertiary lymph node structures could be associated with better patient outcomes. By integrating our proteogenomic data with publicly available RNA interference screen data, we identified TP63, PSAT1, and AKR1C3 as vulnerabilities in SCC, particularly in the redox proteomic group. This cohort and its deep molecular data serves as an important resource to better understand biology and targets associated with SCC.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung

DISEASE(S): Lung Squamous Cell Carcinoma

SUBMITTER: John Koomen

LAB HEAD: Eric Haura, MD

PROVIDER: PXD010429 | Pride | 2019-05-24

REPOSITORIES: Pride

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Publications

Proteogenomic landscape of squamous cell lung cancer.

Stewart Paul A PA Welsh Eric A EA Slebos Robbert J C RJC Fang Bin B Izumi Victoria V Chambers Matthew M Zhang Guolin G Cen Ling L Pettersson Fredrik F Zhang Yonghong Y Chen Zhihua Z Cheng Chia-Ho CH Thapa Ram R Thompson Zachary Z Fellows Katherine M KM Francis Jewel M JM Saller James J JJ Mesa Tania T Zhang Chaomei C Yoder Sean S DeNicola Gina M GM Beg Amer A AA Boyle Theresa A TA Teer Jamie K JK Ann Chen Yian Y Koomen John M JM Eschrich Steven A SA Haura Eric B EB

Nature communications 20190808 1

How genomic and transcriptomic alterations affect the functional proteome in lung cancer is not fully understood. Here, we integrate DNA copy number, somatic mutations, RNA-sequencing, and expression proteomics in a cohort of 108 squamous cell lung cancer (SCC) patients. We identify three proteomic subtypes, two of which (Inflamed, Redox) comprise 87% of tumors. The Inflamed subtype is enriched with neutrophils, B-cells, and monocytes and expresses more PD-1. Redox tumours are enriched for oxida ...[more]

PMID: 31395880

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Project description:Testosterone is essential to maintain qualitative spermatogenesis. Nonetheless, no studies have been yet performed in humans to analyze the testosterone-mediated expression of the sperm proteins and their importance in reproduction. Thus, this study aimed to identify sperm protein alterations in male hypogonadism using proteomic profiling. We have performed a comparative proteomic analysis comparing sperm from fertile controls (a pool of 5 normogonadic normozoospermic fertile men) versus sperm from patients with secondary hypogonadism (a pool of 5 oligozoospermic hypogonadic patients due to isolated LH deficiency). Sperm protein composition was analyzed, after peptide labelling with Isobaric Tags, via liquid chromatography followed by tandem mass spectrometry (LC-MS/MS) on an LTQ Velos-Orbitrap mass spectrometer. LC-MS/MS data were analyzed using Proteome Discoverer. Criteria used to accept protein identification included a false discovery rate (FDR) of 1% and at least 1 peptide match per protein. Up to 986 proteins were identified and, of those, 43 proteins were differentially expressed: 32 proteins were under-expressed and 11 were over-expressed in the pool of hypogonadic patients. Bioinformatic analyses were performed using UniProt Knowledgebase, and the Gene Ontology Consortium database based on PANTHER. Notably, 13 of these 43 differentially expressed proteins have been previously reported to be related to sperm function and spermatogenesis. Western blot analyses for A-Kinase Anchoring Protein 3 (AKAP3) and the Prolactin Inducible Protein (PIP) were used to confirm the proteomics data. In summary, a high-resolution mass spectrometry-based proteomic approach was used for the first time to describe alterations of the sperm proteome in secondary male hypogonadism. A panel of deregulated sperm proteins was identified, including Prosaposin, Ropporin-1B, SERPINA5, SMOC-1, SPANXB1, GSG1, ELSPBP1, fibronectin, 5-oxoprolinase, AKAP3, AKAP4, HYDIN, ROPN1B, ß-Microseminoprotein and Protein S100-A8, which might represent putative physiological in vivo targets for androgen deficiency.

Dataset Information

Proteogenomic Landscape of Squamous Cell Lung Cancer 2: Tandem Mass Tag Datasets

Publications

Proteogenomic landscape of squamous cell lung cancer.

Similar Datasets

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