{"id":1043,"date":"2013-08-07T12:43:23","date_gmt":"2013-08-07T16:43:23","guid":{"rendered":"http:\/\/admin.acceleratingscience.com\/?p=1043"},"modified":"2013-08-07T12:43:23","modified_gmt":"2013-08-07T16:43:23","slug":"genome-wide-proteomics-of-oncogenic-pathways-in-inflammatory-breast-cancer","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/proteomics\/genome-wide-proteomics-of-oncogenic-pathways-in-inflammatory-breast-cancer\/","title":{"rendered":"Genome-Wide Proteomics of Oncogenic Pathways in Inflammatory Breast Cancer"},"content":{"rendered":"

Researchers led by Dr. William S. Hancock at the Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University (Boston, MA) now report genome-wide proteomics of specific oncogenes and oncogenic pathways in inflammatory breast cancer.1 <\/sup>They report protein expression profiles in primary inflammatory breast cancer tumours using three established breast cancer cell lines (SKBR3, SUM149 and SUM190). The cell lines SUM149 and SUM190 are estrogen receptor, or ER(−), and progesterone receptor, PR(−). The SKBR3 cell line is known to express high levels of v-erb-b2 erythroblastic leukemia viral oncogene homolog 2 (ERBB2<\/em>), and is ER(−) and PR(−). These cell lines show different oncogene expression levels in ERBB2 and epidermal growth factor receptor (EGFR) signalling pathways. The American Society of Clinical Oncology recommends determination of ERBB2<\/em> status as a marker for diagnosis and evaluation in primary invasive breast cancer.2<\/sup>
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The trypsin-digested peptides of the SKBR3, SUM149 and SUM190 cells were subjected to liquid chromatography−mass spectrometry (LC−MS) analysis using a linear ion trap coupled to a Fourier transfer mass spectrometer (LTQ-FTMS, Thermo Electron, San Jose, CA). Peptide sequences were identified using Thermo Proteome Discoverer 1.3 from a human database SP.human.56.5 with full trypsin specificity. The researchers used RNA-Seq data to identify the oncogenes with significant expression levels in these cell lines. They then queried the corresponding proteomic data sets for proteins with significant interaction values with these oncogenes.<\/p>\n

Comparison of proteomic observations between cell lines indicates five RAS-related proteins with two-fold higher relative abundance in SUM190 and SKBR3, as compared to SUM149. RAS-associated proteins are usually activated in tumours in which ERBB2<\/em> is overexpressed. Cathepsin D, a marker of breast cancer, was elevated six-fold and ten-fold in SUM190 and SKBR3, as compared to SUM149.<\/p>\n

The results show the top three oncogenes with the greatest number of interactions with observed proteins; these include MYC<\/em>, GRB2<\/em> and EGFR<\/em>, with 268, 235 and 143 interactions, respectively, for SUM149.<\/p>\n

Based on the integration of transcriptomic, proteomic and interaction data, the investigators identified cancer relevant pathways. The four pathways identified in addition to ERBB2 signalling include EGFR, integrin, MYC signalling and PI3K signalling. They comprise many of the oncogene-interacting proteins. The proteins correlated with higher levels of EGFR or ERBB2 transcript, respectively, are:<\/p>\n