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Schmidt, S.* ; Linge, A.* ; Grosser, M.* ; Lohaus, F.* ; Gudziol, V.* ; Nowak, A.* ; Tinhofer, I.* ; Budach, V.* ; Sak, A.* ; Stuschke, M.* ; Balermpas, P.* ; Rödel, C.* ; Schäfer, H.* ; Grosu, A.-L.* ; Ganswindt, U.* ; Belka, C. ; Pigorsch, S.* ; Combs, S.E. ; Mönnich, D.* ; Zips, D.* ; Baretton, G.B.* ; Buchholz, F.* ; Löck, S.*

Comparison of GeneChip, nCounter and real-time polymerase chain reaction based gene expressions predicting loco-regional tumour control after primary and postoperative radiochemotherapy in head and neck squamous cell carcinoma.

J. Mol. Diagn. 22, 801-810 (2020)
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This article compares the expression and applicability of biomarkers, from single genes and gene signatures, identified in patients with locally advanced head and neck squamous cell carcinoma using the GeneChip Human Transcriptome Array 2.0, nCounter, and real-time PCR analyses. Two multicenter, retrospective cohorts of patients with head and neck squamous cell carcinoma from the German Cancer Consortium Radiation Oncology Group who received postoperative radiochemotherapy or primary radiochemotherapy were considered. Real-time PCR was performed for a limited number of 38 genes of the cohort who received postoperative radiochemotherapy only. Correlations between the methods were evaluated by the Spearman rank correlation coefficient. Patients were stratified based on the expression of putative cancer stem cell markers, hypoxia-associated gene signatures, and a previously developed seven-gene signature. Locoregional tumor control was compared between these patient subgroups using log-rank tests. Gene expressions obtained from nCounter analyses were moderately correlated to GeneChip analyses (median rho = approximately 0.68). A higher correlation was obtained between nCounter analyses and real-time PCR (median rho = 0.84). Significant associations with locoregional tumor control were observed for most of the considered biomarkers evaluated by GeneChip and nCounter analyses. In general, all applied biomarkers (single genes and gene signatures) classified approximately 70% to 85% of the patients similarly. Overall, gene signatures seem to be more robust and had a better transferability among different measurement methods.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Good Prognosis Subgroups; Loco-regional Control; Radiation Oncology; Sdf-1/cxcr4 Expression; Marker Expression; Hpv Status; Cancer; Multicenter; Validation; Signature
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1525-1578
e-ISSN 1943-7811
Journal Journal of Molecular Diagnostics
Quellenangaben Volume: 22, Issue: 6, Pages: 801-810 Article Number: , Supplement: ,
Publisher American Society for Investigative Pathology and the Association for Molecular Pathology
Publishing Place Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Reviewing status Peer reviewed
Institute(s) Translational Metabolic Oncology (IDC-TMO)
Institute of Radiation Medicine (IRM)
POF-Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30203 - Molecular Targets and Therapies
Research field(s) Radiation Sciences
PSP Element(s) G-521800-001
G-501300-001
DOI 10.1016/j.jmoldx.2020.03.005
WOS ID WOS:000537621100008
Scopus ID 85085345001
PubMed ID 32247864
Erfassungsdatum 2020-06-17
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