Molecular profiling of breast cancer via targeted tissue proteomics.

• DOI: 10.1200/jco.2010.28.15_suppl.e21026
• Publication Date: 2017-02-24T02:41:10Z
• Authors: D. J. Johann; S. Mukherjee; J. Rodriguez-Canales; J. Hanson; T. D. Veenstra; M. Emmert-Buck; J. Blonder
• Keywords: Laser capture microdissection; Biomarker Discovery; Proteome

e21026 Background: The analysis of clinical breast tissue specimens that includes a functional coupling laser capture microdissection (LCM) and mass spectrometry (MS) for molecular profiling tumors, is the purpose this study. A heterogeneous architecture common characteristic all solid tumors. Cancer product microenvironment, composed diverse set cells with distinct morphologies proteomic elements. which both modified unmodified stromal elements serves to nurture malignant process. Innovative approaches are needed facilitate better understanding cancer tumor heterogeneity in particular, microenvironment. Methods: Tissue proteomics methods were employed including LCM. Homogeneous regions exhibiting uniform histology isolated captured from fresh frozen specimens, obtained human carcinoma samples. Results: Prepared samples analyzed by LC-MS/MS resulting more than 500 unique protein identifications. High confidence measures only proteins identified ≥ 2 peptides. Decoy database searching was used reduce false-positive rate. Molecular data subjected machine learning discern complex expression multiple cellular phenotypes due tumor. Cross validation via Western Blot confirmed specific linkage 12 validated underlying pathology their potential role heterogeneity. Conclusions: New biomarker discovery needed. functional-linkage LCM LC/MS-MS being pursued understand Tumor may be viewed as memory map process thus effective study yield insights regarding development therapy. biological background such not well understood. With continued research optimization, approach lead an improved heterogeneity, serve platform discovery. No significant financial relationships disclose.