| Literature DB >> 22015459 |
Benjamin Balluff1, Sandra Rauser, Stephan Meding, Mareike Elsner, Cedrik Schöne, Annette Feuchtinger, Christoph Schuhmacher, Alexander Novotny, Uta Jütting, Giuseppina Maccarrone, Hakan Sarioglu, Marius Ueffing, Herbert Braselmann, Horst Zitzelsberger, Roland M Schmid, Heinz Höfler, Matthias P Ebert, Axel Walch.
Abstract
Proteomics-based approaches allow us to investigate the biology of cancer beyond genomic initiatives. We used histology-based matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry to identify proteins that predict disease outcome in gastric cancer after surgical resection. A total of 181 intestinal-type primary resected gastric cancer tissues from two independent patient cohorts were analyzed. Protein profiles of the discovery cohort (n = 63) were directly obtained from tumor tissue sections by MALDI imaging. A seven-protein signature was associated with an unfavorable overall survival independent of major clinical covariates. The prognostic significance of three individual proteins identified (CRIP1, HNP-1, and S100-A6) was validated immunohistochemically on tissue microarrays of an independent validation cohort (n = 118). Whereas HNP-1 and S100-A6 were found to further subdivide early-stage (Union Internationale Contre le Cancer [UICC]-I) and late-stage (UICC II and III) cancer patients into different prognostic groups, CRIP1, a protein previously unknown in gastric cancer, was confirmed as a novel and independent prognostic factor for all patients in the validation cohort. The protein pattern described here serves as a new independent indicator of patient survival complementing the previously known clinical parameters in terms of prognostic relevance. These results show that this tissue-based proteomic approach may provide clinically relevant information that might be beneficial in improving risk stratification for gastric cancer patients.Entities:
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Year: 2011 PMID: 22015459 PMCID: PMC3260837 DOI: 10.1016/j.ajpath.2011.08.032
Source DB: PubMed Journal: Am J Pathol ISSN: 0002-9440 Impact factor: 4.307