4.6 Article

Plasma-Derived Extracellular Vesicles Convey Protein Signatures That Reflect Pathophysiology in Lung and Pancreatic Adenocarcinomas

期刊

CANCERS
卷 12, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/cancers12051147

关键词

extracellular vesicles; exosomes; proteomics; liquid biopsy; lung cancer; pancreatic cancer; adenocarcinoma; biomarker discovery

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资金

  1. National Institutes of Health (NIH) through the University of Texas Lung Specialized Programs of Research Excellence (SPORE) grant [P50CA70907]
  2. NIH [1-S10-OD024976-01, 5-R01-CA218230-02, 1-P50-CA221707-01A1, 5-U01-CA196403-05, 5-U01-CA200468-04, 1-U24-CA224020-01]
  3. Cancer Prevention and Research Institute of Texas [RP180505]
  4. NIH Cancer Center Support Grant (CCSG) [P30-CA016672]

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Using a combination of mass-spectrometry and aptamer array-based proteomics, we characterized the protein features of circulating extracellular vesicles (EVs) in the context of lung (LUAD) and pancreatic ductal (PDAC) adenocarcinomas. We profiled EVs isolated from conditioned media of LUAD and PDAC cell lines to identify EV-associated protein cargoes released by these cancer cell types. Analysis of the resulting data identified LUAD and PDAC specific and pan-adenocarcinoma EV protein signatures. Bioinformatic analyses confirmed enrichment of proteins annotated to vesicle-associated processes and intracellular compartments, as well as representation of cancer hallmark functions and processes. Analysis of upstream regulator networks indicated significant enrichment of TP53, MYC, TGFB1 and KRAS-driven network effectors (p = 1.69 x 10(-77)-2.93 x 10(-49)) manifest in the adenocarcinoma sEV protein cargoes. We extended these findings by profiling the proteome of EVs isolated from lung (N = 15) and pancreatic ductal (N = 6) adenocarcinoma patient plasmas obtained at time of diagnosis, along with EVs derived from matched healthy controls (N = 21). Exploration of these proteomic data revealed abundant protein features in the plasma EVs with capacity to distinguish LUAD and PDAC cases from controls, including features yielding higher performance in the plasma EV isolates relative to unfractionated plasmas.

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