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Detection of Distinct Changes in Gene-expression Profiles in Specimens of Tumors and Transition Zones of Tenascin-positive/-negative Head and Neck Squamous Cell Carcinoma
V. Zivicova, P. Gal, A. Mifkova, S. Novak, H. Kaltner, M. Kolar, H. Strnad, J. Sachova, M. Hradilova, M. Chovanec, HJ. Gabius, K. Smetana, Z. Fik,
Jazyk angličtina Země Řecko
Typ dokumentu časopisecké články
Grantová podpora
NV15-28933A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
Zdroj
NLK
Free Medical Journals
od 2004 do Před 2 roky
Open Access Digital Library
od 2004-01-01
- MeSH
- fibronektiny genetika metabolismus MeSH
- galektin 1 genetika metabolismus MeSH
- genová ontologie MeSH
- lidé MeSH
- nádorové biomarkery genetika MeSH
- nádory hlavy a krku genetika metabolismus chirurgie MeSH
- přežití bez známek nemoci MeSH
- regulace genové exprese u nádorů * MeSH
- resekční okraje MeSH
- sliznice metabolismus MeSH
- spinocelulární karcinom genetika metabolismus chirurgie MeSH
- stanovení celkové genové exprese metody MeSH
- tenascin genetika metabolismus MeSH
- transkriptom * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND/AIM: Having previously initiated genome-wide expression profiling in head and neck squamous cell carcinoma (HNSCC) for regions of the tumor, the margin of surgical resecate (MSR) and normal mucosa (NM), we here proceed with respective analysis of cases after stratification according to the expression status of tenascin (Ten). MATERIALS AND METHODS: Tissue specimens of each anatomical site were analyzed by immunofluorescent detection of Ten, fibronectin (Fn) and galectin-1 (Gal-1) as well as by microarrays. RESULTS: Histopathological examination demonstrated that Ten+Fn+Gal-1+co-expression occurs more frequently in samples of HNSCC (55%) than in NM (9%; p<0.01). Contrary, the Ten-Fn+Gal-1-(45%) and Ten-Fn-Gal-1-(39%) status occurred with significantly (p<0.01) higher frequency than in HNSCC (3% and 4%, respectively). In MSRs, different immunophenotypes were distributed rather equally (Ten+Fn+Gal-1+=24%; Ten-Fn+Gal-1-=36%; Ten-Fn-Gal-1-=33%), differing to the results in tumors (p<0.05). Absence/presence of Ten was used for stratification of patients into cohorts without a difference in prognosis, to comparatively examine gene-activity signatures. Microarray analysis revealed i) expression of several tumor progression-associated genes in Ten+HNSCC tumors and ii) a strong up-regulation of gene expression assigned to lipid metabolism in MSRs of Ten-tumors, while NM profiles remained similar. CONCLUSION: The presented data reveal marked and specific changes in tumors and MSR specimens of HNSCC without a separation based on prognosis.
Citace poskytuje Crossref.org
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- $a Zivicova, Veronika $u Institute of Anatomy, 1st Faculty of Medicine, Charles University, Prague, Czech Republic. Department of Otorhinolaryngology, Head and Neck Surgery, 1st Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
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- $a BACKGROUND/AIM: Having previously initiated genome-wide expression profiling in head and neck squamous cell carcinoma (HNSCC) for regions of the tumor, the margin of surgical resecate (MSR) and normal mucosa (NM), we here proceed with respective analysis of cases after stratification according to the expression status of tenascin (Ten). MATERIALS AND METHODS: Tissue specimens of each anatomical site were analyzed by immunofluorescent detection of Ten, fibronectin (Fn) and galectin-1 (Gal-1) as well as by microarrays. RESULTS: Histopathological examination demonstrated that Ten+Fn+Gal-1+co-expression occurs more frequently in samples of HNSCC (55%) than in NM (9%; p<0.01). Contrary, the Ten-Fn+Gal-1-(45%) and Ten-Fn-Gal-1-(39%) status occurred with significantly (p<0.01) higher frequency than in HNSCC (3% and 4%, respectively). In MSRs, different immunophenotypes were distributed rather equally (Ten+Fn+Gal-1+=24%; Ten-Fn+Gal-1-=36%; Ten-Fn-Gal-1-=33%), differing to the results in tumors (p<0.05). Absence/presence of Ten was used for stratification of patients into cohorts without a difference in prognosis, to comparatively examine gene-activity signatures. Microarray analysis revealed i) expression of several tumor progression-associated genes in Ten+HNSCC tumors and ii) a strong up-regulation of gene expression assigned to lipid metabolism in MSRs of Ten-tumors, while NM profiles remained similar. CONCLUSION: The presented data reveal marked and specific changes in tumors and MSR specimens of HNSCC without a separation based on prognosis.
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