| Literature DB >> 32247864 |
Stefan Schmidt1, Annett Linge2, Marianne Grosser3, Fabian Lohaus4, Volker Gudziol5, Alexander Nowak6, Ingeborg Tinhofer7, Volker Budach7, Ali Sak8, Martin Stuschke8, Panagiotis Balermpas9, Claus Rödel9, Henning Schäfer10, Anca-Ligia Grosu10, Amir Abdollahi11, Jürgen Debus12, Ute Ganswindt13, Claus Belka14, Steffi Pigorsch15, Stephanie E Combs16, David Mönnich17, Daniel Zips18, Gustavo B Baretton19, Frank Buchholz20, Michael Baumann21, Mechthild Krause22, Steffen Löck4.
Abstract
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 ρ = approximately 0.68). A higher correlation was obtained between nCounter analyses and real-time PCR (median ρ = 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.Entities:
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Year: 2020 PMID: 32247864 DOI: 10.1016/j.jmoldx.2020.03.005
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568