Prognostic gene signature for squamous cell carcinoma with a higher risk for treatment failure and accelerated MEK-ERK pathway activity
Squamous cell carcinoma (SCC) is the most prevalent histological type of human cancer, including head and neck squamous cell carcinoma (HNSCC). However, reliable prognostic gene signatures for SCC and underlying genetic and/or epigenetic principles are still unclear. We identified 37 prognostic cand...
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| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
15 October 2021
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| In: |
Cancers
Year: 2021, Jahrgang: 13, Heft: 20, Pages: 1-22 |
| ISSN: | 2072-6694 |
| DOI: | 10.3390/cancers13205182 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/cancers13205182 Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2072-6694/13/20/5182 
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| Verfasserangaben: | Bohai Feng, Kai Wang, Esther Herpel, Michaela Plath, Wilko Weichert, Kolja Freier, Karim Zaoui and Jochen Hess |
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| 520 | |a Squamous cell carcinoma (SCC) is the most prevalent histological type of human cancer, including head and neck squamous cell carcinoma (HNSCC). However, reliable prognostic gene signatures for SCC and underlying genetic and/or epigenetic principles are still unclear. We identified 37 prognostic candidate genes by best cutoff computation based on survival in a pan-SCC cohort (n = 1334) of The Cancer Genome Atlas (TCGA), whose expression stratified not only the pan-SCC cohort but also independent HNSCC validation cohorts into three distinct prognostic subgroups. The most relevant prognostic genes were prioritized by a Least Absolute Shrinkage and Selection Operator Cox regression model and were used to identify subgroups with high or low risks for unfavorable survival. An integrative analysis of multi-omics data identified FN1, SEMA3A, CDH2, FBN1, COL5A1, and ADAM12 as key nodes in a regulatory network related to the prognostic phenotype. An in-silico drug screen predicted two MEK inhibitors (Trametinib and Selumetinib) as effective compounds for high-risk SCC based on the Cancer Cell Line Encyclopedia, which is supported by a higher p-MEK1/2 immunohistochemical staining of high-risk HNSCC. In conclusion, our data identified a molecular classifier for high-risk HNSCC as well as other SCC patients, who might benefit from treatment with MEK inhibitors. | ||
| 650 | 4 | |a genetic and epigenetic alterations | |
| 650 | 4 | |a HNSCC | |
| 650 | 4 | |a MEK inhibitors | |
| 650 | 4 | |a MEK-ERK signaling | |
| 650 | 4 | |a multi-omics analysis | |
| 650 | 4 | |a prognostic classifier | |
| 650 | 4 | |a squamous cell carcinoma | |
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