Integrative analysis of ,multi-omics data identified EGFR and PTGS2 as key nodes in a gene regulatory network related to immune phenotypes in head and neck cancer

Purpose: Malignant progression exhibits a tightly orchestrated balance between immune effector response and tolerance. However, underlying molecular principles that drive the establishment and maintenance of the tumor immune phenotype remain to be elucidated. - Experimental Design: We trained a nove...

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Hauptverfasser: Feng, Bohai (VerfasserIn) , Shen, Ying (VerfasserIn) , Hostench, Xavier Pastor (VerfasserIn) , Bieg, Matthias (VerfasserIn) , Plath, Michaela (VerfasserIn) , Ishaque, Naveed (VerfasserIn) , Eils, Roland (VerfasserIn) , Freier, Kolja (VerfasserIn) , Weichert, Wilko (VerfasserIn) , Plath, Karim (VerfasserIn) , Heß, Jochen (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: March 11, 2020
In: Clinical cancer research
Year: 2020, Jahrgang: 26, Heft: 14, Pages: 3616-3628
ISSN:1557-3265
DOI:10.1158/1078-0432.CCR-19-3997
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1158/1078-0432.CCR-19-3997
Verlag, lizenzpflichtig, Volltext: https://clincancerres.aacrjournals.org/content/26/14/3616
Volltext
Verfasserangaben:Bohai Feng, Ying Shen, Xavier Pastor Hostench, Matthias Bieg, Michaela Plath, Naveed Ishaque, Roland Eils, Kolja Freier, Wilko Weichert, Karim Zaoui, and Jochen Hess
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Zusammenfassung:Purpose: Malignant progression exhibits a tightly orchestrated balance between immune effector response and tolerance. However, underlying molecular principles that drive the establishment and maintenance of the tumor immune phenotype remain to be elucidated. - Experimental Design: We trained a novel molecular classifier based on immune cell subsets related to programmed death-ligand 1 (PD-L1) and interferon γ (IFNγ) expression, which revealed distinct subgroups with higher (cluster A) or lower (subcluster B3) cytotoxic immune phenotypes. Integrative analysis of multi-omics data was conducted to identify differences in genetic and epigenetic landscapes as well as their impact on differentially expressed genes (DEG) among immune phenotypes. A prognostic gene signature for immune checkpoint inhibition (ICI) was established by a least absolute shrinkage and selection operator (LASSO)-Cox regression model. - Results: Mutational landscape analyses unraveled a higher frequency of CASP8 somatic mutations in subcluster A1, while subcluster B3 exhibited a characteristic pattern of copy-number alterations affecting chemokine signaling and immune effector response. The integrative multi-omics approach identified EGFR and PTGS2 as key nodes in a gene regulatory network related to the immune phenotype, and several DEGs related to the immune phenotypes were affected by EGFR inhibition in tumor cell lines. Finally, we established a prognostic gene signature by a LASSO-Cox regression model based on DEGs between nonprogressive disease and progressive disease subgroups for ICI. - Conclusions: Our data highlight a complex interplay between genetic and epigenetic events in the establishment of the tumor immune phenotype and provide compelling experimental evidence that a patient with squamous cell carcinoma of the head and neck at higher risk for ICI treatment failure might benefit from a combination with EGFR inhibition.
Beschreibung:Gesehen am 07.09.2020
Beschreibung:Online Resource
ISSN:1557-3265
DOI:10.1158/1078-0432.CCR-19-3997