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Expression of TGFβ-inducible myosin-X predicts survival and chemotherapy resistance in squamous cell lung cancer

ABSTRACT: Squamous cell lung carcinoma (SCC) corresponds to about 25% of all lung cancers. Therapeutic approaches are very limited and platinum-based chemotherapy remains the main treatment option. Despite multiple studies, there are no generally accepted predictive biomarkers for SCC. Transforming growth factor-β (TGFβ) signaling was shown to be implicated in numerous pro-tumorigenic processes, including immune evasion, inflammation and cancer metastasis. In the context of SCC epithelial-to-mesenchymal transition phenotype that is commonly mediated by TGFβ was widely observed in surgically resected specimens. However, the relation between TGFβ-induced changes and SCC progression remains to be elucidated. In the presented work, we combined phenotypic and transcriptome-wide approaches to identify novel predictive biomarkers for SCC. We show that TGFβ treatment activated Smad-mediated signal transduction and resulted in increase of migratory and invasive properties of SK-MES1 cells. Multiple actin cytoskeleton-related proteins, including myosin motor proteins such as Myosin-X, were up-regulated upon TGFβ stimulation. siRNA-mediated knockdown of Myosin-X completely abrogated TGFβ-induced collagen gel invasion. Finally, analysis of mRNA expression in paired surgically resected tissues of 151 SCC patients with corresponding 80-month clinical follow-up, showed that the mRNA expression ratio of Myosin-X in tumor and adjacent non-tumor tissue is predictive for overall survival and chemotherapy resistance independently of tumor stage. Given Myosin-X role in cellular motility and invasion, it can represent a new biomarker for aggressive disease and serve as a potential molecular target for therapeutic intervention in patients with SCC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE95536 | GEO | 2018/06/15

REPOSITORIES: GEO

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Project description:PURPOSE: Non-small cell lung cancers (NSCLC) comprise multiple distinct biological groups with different prognoses. For example, patients with epithelial-like (EL) tumors have a better prognosis and exhibit greater sensitivity to inhibitors of the epidermal growth factor receptor (EGFR) pathway than patients with mesenchymal-like (ML) tumors. Here we test the hypothesis that EL NSCLCs can be distinguished from ML NSCLCs on the basis of global DNA methylation patterns. EXPERIMENTAL DESIGN: To determine whether phenotypic subsets of NSCLC can be defined based on their DNA methylation patterns, we combined microfluidics-based gene expression analysis and genome-wide methylation profiling. We derived robust classifiers for both gene expression and methylation in cell lines and tested these classifiers in surgically resected NSCLC tumors. We validate our approach using quantitative RT-PCR and methylation specific PCR in formalin-fixed biopsies from NSCLC patients who went on to fail front-line chemotherapy. RESULTS: We show that patterns of methylation divide NSCLCs into EL and ML subsets as defined by gene expression and that these signatures are similarly correlated in NSCLC cell lines and tumors. We identify multiple DMRs, including ERBB2 and ZEB2, whose methylation status is strongly associated with an epithelial phenotype in NSCLC cell lines, surgically resected tumors, and formalin-fixed biopsies from NSCLC patients who went on to fail front-line chemotherapy. CONCLUSIONS: Our data demonstrate that patterns of DNA methylation can divide NSCLCs into two phenotypically distinct subtypes of tumors and provide proof of principle that differences in DNA methylation can be used for predictive biomarker discovery and development. To determine whether phenotypic subsets of NSCLC can be defined based on their DNA methylation patterns, we combined microfluidics-based gene expression analysis and genome-wide methylation profiling. We derived robust classifiers for both gene expression and methylation in cell lines and tested these classifiers in surgically resected NSCLC tumors. We validate our approach using quantitative RT-PCR and methylation specific PCR in formalin-fixed biopsies from NSCLC patients who went on to fail front-line chemotherapy.

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Expression of TGFβ-inducible myosin-X predicts survival and chemotherapy resistance in squamous cell lung cancer

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