In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 5100-5100
Abstract:
Lung cancer is currently the number one cause of cancer-related deaths worldwide. Five-year survival rates for both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) are still less than twenty percent due to late stage of presentation, treatment failure and lack of biomarkers for personalized therapy. Aim of this study is to identify protein biomarkers that can be used for treatment response prediction and therapy monitoring. Rather than following a broad strategy by analyzing the proteome of whole cell or tissue lysates, we chose to use a more specific approach based on the assumption that the best tumor markers are shed or secreted by the tumor and can be detected in blood. Secretome (i.e. all proteins shed from or secreted by a cell or tissue) proteomics (Piersma SR et al. J Proteome Res. 2010 Apr 5;9(4):1913-22.) was performed on a set of tumors from conditional mouse models for SCLC and NSCLC (Meuwissen R et al. Oncogene. 2001 Oct 4;20(45):6551-8; Meuwissen R et al. Cancer Cell. 2003 Sep;4(3):181-9.), a set of human and mouse SCLC and NSCLC cell lines and a series of human NSCLC cell lines with a range of IC50-values for cisplatin (1.5 – 15 µM). Secretomes were obtained by collecting serum-free media from the cell lines or collecting PBS in which a tumor tissue piece had been incubated. In the secretome samples, up to 2,000 proteins can be identified with 80% reproducibility by label-free, shotgun nanoLC tandem mass spectrometry and quantified by spectral counting. The beta-binomial test (Pham TV et al. Bioinformatics. 2010 Feb 1;26(3):363-9.) is used to find significant differences in protein expression between the different secretomes and network analysis is performed to provide insight into the underlying cellular mechanisms. The secretomes from the mouse models are used to find proteins specifically secreted by either NSCLC or SCLC, while the comparison between the secretomes of the several human and mouse cell lines allows extrapolation of the results from the mouse models to the human situation. Furthermore, the analysis of the cell lines with various cisplatin IC50-values permits selection of the protein markers that are indicative of sensitivity or resistance. The results of the different proteomics analyses will be presented along with the most promising biomarker candidates and an overview of the functional network analysis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5100. doi:10.1158/1538-7445.AM2011-5100
Type of Medium:
Online Resource
ISSN:
0008-5472
,
1538-7445
DOI:
10.1158/1538-7445.AM2011-5100
Language:
English
Publisher:
American Association for Cancer Research (AACR)
Publication Date:
2011
detail.hit.zdb_id:
2036785-5
detail.hit.zdb_id:
1432-1
detail.hit.zdb_id:
410466-3
