Oasis, Online Abstract Submission and Invitation System - Program…

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                                             2008 AACR Annual Meeting
                                                  April 12-16, 2008
                                                   San Diego, CA

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Abstract Number:       5163
Session Title:         Integration of Omics Technologies
Presentation Title:    LC-MS-based quantitative proteome analysis of archival melanoma tissues reveals potential
                       biomarkers associated with metastasis
Presentation           Wednesday, Apr 16, 2008, 8:00 AM -12:00 PM
Start/End Time:
Location:              Exhibit Hall B-F, San Diego Convention Center
Poster Section:        6
Poster Board           18
Number:
Author Block:          Sharon K. Huang, Marlene M. Darfler, Jin-Sam You, Kerry G. Bemis, Tony J. Tegeler, Kelly K.
                       Chong, Dave S. B. Hoon. John Wayne Cancer Institute at Saint John's Health Center, Santa
                       Monica, CA, Expression Pathology, Inc., Gaithersburg, MD, Monarch LifeSciences LLC,
                       Indianapolis, IN
Metastatic melanoma is usually associated with poor prognosis. Limited information is known about proteomic
changes during tumor progression. To better understand the changes in protein expression involved in melanoma
progression and metastasis, and to identify potential biomarkers, we conducted a global quantitative proteome
analysis on melanoma metastases and primary melanomas. Proteins were extracted from microdissected formalin-
fixed paraffin-embedded (FFPE) archival tissue of melanoma metastases and primary melanomas using Liquid
Tissue® reagents and protocols, and analyzed by a recently developed, LC/MS-based label-free protein quantification
method to profile the global protein expression. More than 1500 proteins were identified in tissue lysates prepared
from approximately 30,000 microdissected cells, covering a wide variety of biological functions. The approach
identified 120 significantly changing proteins, including 78 up-regulated and 42 down-regulated; these were identified
from multiple peptides with high ID confidence and expressed at significantly different levels in metastases as
compared with primary melanoma (q-Value < 0.05). These differentially expressed proteins were classified by their
biological process and several proteins were implicated as cancer-related or metastasis-related. Of particular interest
are those proteins which showed elevated expression levels in metastatic tissue and have functions related to cell
adhesion and migration, cell cycle modulation, and cellular metabolism. The proteins identified represent potential
biomarkers for tumor progression. Further analysis using a pathway/network software tool demonstrated significant
activated biological pathways between primary and metastatic tumors. The technology described here successfully
identified differentially expressed proteins between metastatic and primary melanoma in FFPE tissue samples.



                                             2008 AACR Annual Meeting
                                                  April 12-16, 2008
                                                   San Diego, CA



   Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 99th Annual Meeting of the American
   Association for Cancer Research; 2008 Apr 12-16; San Diego, CA. Philadelphia (PA): AACR; 2008. Abstract nr
                                                     {Abstract number}

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