Abstract Despite the recognized advances in the treatment of breast cancer, it still accounts for 15% of all cancer-related deaths. Ninety percent of breast cancer deaths are due to unpredicted metastasis. There is neither successful treatment for metastatic patients nor a specific test to predict or detect secondary lesions. Patients with primary tumor will be either overtreated with cytotoxic side effects or undertreated and risk recurrence. This necessitates the need for personalized treatment, which is hard to offer for such heterogeneous disease. Obstacles in treating breast cancer metastasis are mainly due to the gaps exist in the understanding of the molecular mechanism of metastasis. The linear model of metastasis is supported by several observations that reflect an early crosstalk between the primary and secondary tumor, which in turn makes the secondary microenvironment fertile for the growth of disseminated cells. This communication occurs through circulation and utilizes molecules which have not been identified to date. Identifying such molecules may help in detecting initial stages of tumor colonization and predict the target organ of metastasis. Furthermore, these molecules may help to provide a personalized therapy that aims to tailor treatment according to the biology of the individual tumor. Advances in proteomics allows for more reproducible and sensitive biomarker discovery. Proteomic biomarkers are often more translatable to the clinic compared to biomarkers identified using other -omics approaches. Further, protein biomarkers can be found in biological fluids making them a non invasive way to treat or investigate cancer patients. In this study we are screening serum samples of stage I and stage III breast cancer patients using cLC-MS/MS, with a focus on characterizing the differential expression of small peptide biomarkers. We typically analyze 2500 individual small peptide biomarkers in a single serum sample. Comparisons between different sample types (from stage I and III breast cancer patients in this case) allows for the detection of unique short peptide biomarkers present in one sample type. In our preliminary analysis of 6 patients of each type, we find roughly 64 short peptide biomarkers to be upregulated in patients with metastatic breast cancer. We also see the downregulation of an addition 92 short peptides in these same patients. The serum expression pattern and identity of peptides in metastatic patients may provide clues about the biology underlying tumor cell dissemination and colonization to specific sites. Citation Format: Adhari A. AlZaabi, Marc Hansen, Steven Graves. Serum proteomics uncover possible biomarkers associated with progression of metastatic breast cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4016. doi:10.1158/1538-7445.AM2014-4016
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