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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 by Feng, Bohai; Shen, Ying; Pastor, Xavier; Bieg, Matthias; Plath, Michaela; Ishaque, Naveed; Eils, Roland; Freier, Kolja; Weichert, Wilko; Zaoui, Karim; Hess, Jochen is a Medicine article available to read on EtoBox.
What is 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 about?
## Abstract ## 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 integr
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- Author
- Feng, Bohai; Shen, Ying; Pastor, Xavier; Bieg, Matthias; Plath, Michaela; Ishaque, Naveed; Eils, Roland; Freier, Kolja; Weichert, Wilko; Zaoui, Karim; Hess, Jochen
- Publisher
- American Association for Cancer Research; American Association for Cancer Research (AACR) (ISSN 1078-0432)
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)