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Proteomic surfaceome analysis of mesothelioma. | LitMetric

AI Article Synopsis

  • - The study focuses on finding new protein markers for malignant pleural mesothelioma (MPM) to create better diagnostic tools, using a method that analyzes cell surface proteins (N-glycoproteins) of cancer cells.
  • - Researchers employed advanced mass spectrometry to compare the surface proteins of MPM cells with those from lung adenocarcinoma (ADCA) cells, identifying key differences in their protein profiles.
  • - Two promising markers, thy-1/CD90 (THY1) and teneurin-2 (ODZ2), were identified through this approach, with THY1 being validated as a distinguishing marker between MPM and ADCA using tissue samples.

Article Abstract

Identification of new markers for malignant pleural mesothelioma (MPM) is a challenging clinical need. Here, we propose a quantitative proteomics primary screen of the cell surface exposed MPM N-glycoproteins, which provides the basis for the development of new protein-based diagnostic assays. Using the antibody-independent mass-spectrometry based cell surface capturing (CSC) technology, we specifically investigated the N-glycosylated surfaceome of MPM towards the identification of protein-marker candidates discriminatory between MPM and lung adenocarcinoma (ADCA). Relative quantitative CSC analysis of MPM cell line ZL55 in comparison with ADCA cell line Calu-3 revealed a bird's eye view of their respective surfaceomes. In a secondary screen of fifteen MPM and six ADCA, we used high throughput low density microarrays (LDAs) to verify specificity and sensitivity of nineteen N-glycoproteins overregulated in the surfaceome of MPM. This proteo-transcriptomic approach revealed thy-1/CD90 (THY1) and teneurin-2 (ODZ2) as protein-marker candidates for the discrimination of MPM from ADCA. Thy-1/CD90 was further validated by immunohistochemistry on frozen tissue sections of MPM and ADCA samples. Together, we present a combined proteomic and transcriptomic approach enabling the relative quantitative identification and pre-clinical selection of new MPM marker candidates.

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Source
http://dx.doi.org/10.1016/j.lungcan.2011.07.009DOI Listing

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