PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Balluff, B. ; Rauser, S. ; Meding, S. ; Elsner, M. ; Schöne, C. ; Feuchtinger, A. ; Schuhmacher, C.* ; Novotny, A.* ; Jütting, U. ; Maccarrone, G.* ; Sarioglu, H. ; Ueffing, M. ; Braselmann, H. ; Zitzelsberger, H. ; Schmid, R.M. ; Höfler, H. ; Ebert, M.P.* ; Walch, A.K.

MALDI imaging identifies prognostic seven-protein signature of novel tissue markers in intestinal-type gastric cancer.

Am. J. Pathol. 179, 2720-2729 (2011)
Verlagsversion Volltext DOI PMC
Closed
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
5.224
1.503
90
118
Tags
Icb_biostatistics PROT-CF
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter no keywords
Sprache
Veröffentlichungsjahr 2011
HGF-Berichtsjahr 2011
ISSN (print) / ISBN 0002-9440
e-ISSN 1525-2191
Zeitschrift American Journal of Pathology, The
Quellenangaben Band: 179, Heft: 6, Seiten: 2720-2729 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort New York, USA
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Pathology (PATH)
Institute of Biomathematics and Biometry (IBB)
CF Metabolomics & Proteomics (CF-MPC)
Translational Metabolic Oncology (IDC-TMO)
Research Unit Analytical Pathology (AAP)
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease

30203 - Molecular Targets and Therapies
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies

Radiation Sciences
PSP-Element(e) G-500300-001
G-503800-002
G-505700-001
G-501000-001
G-500390-001
PubMed ID 22015459
DOI 10.1016/j.ajpath.2011.08.032
Scopus ID 81255214562
Erfassungsdatum 2011-11-08
[➜Korrektur melden]