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)
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.
Impact Factor
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Good Prognosis Subgroups; Loco-regional Control; Radiation Oncology; Sdf-1/cxcr4 Expression; Marker Expression; Hpv Status; Cancer; Multicenter; Validation; Signature
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2020
Prepublished im Jahr
HGF-Berichtsjahr
2020
ISSN (print) / ISBN
1525-1578
e-ISSN
1943-7811
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 22,
Heft: 6,
Seiten: 801-810
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
American Society for Investigative Pathology and the Association for Molecular Pathology
Verlagsort
Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30203 - Molecular Targets and Therapies
Forschungsfeld(er)
Radiation Sciences
PSP-Element(e)
G-521800-001
G-501300-001
Förderungen
Copyright
Erfassungsdatum
2020-06-17