Expression ratio of the TGFβ-inducible gene MYO10 is prognostic for overall survival of squamous cell lung cancer patients and predicts chemotherapy response.
D DvornikovM A SchneiderS OhseM SzczygiełI TitkovaM RosenblattT MuleyA WarthF J HerthH DienemannM ThomasJ TimmerMarcel SchillingH BuschM BoerriesM MeisterUrsula KlingmüllerPublished in: Scientific reports (2018)
In lung cancer a deregulation of Transforming Growth Factor-β (TGFβ) signaling has been observed. Yet, the impact of TGFβ in squamous cell carcinoma of the lung (LUSC) remained to be determined. We combined phenotypic and transcriptome-wide studies and showed that the stimulation of the LUSC cell line SK-MES1 with TGFβ results in an increase of migratory invasive properties. The analysis of the dynamics of gene expression by next-generation sequencing revealed that TGFβ stimulation orchestrates the upregulation of numerous motility- and actin cytoskeleton-related genes. Among these the non-muscle myosin 10 (MYO10) showed the highest upregulation in a LUSC patient cohort of the Cancer Genome Atlas (TCGA). Knockdown of MYO10 abrogated TGFβ-induced collagen gel invasion of SK-MES1 cells. The analysis of MYO10 mRNA expression in paired tissues of 151 LUSC patients with corresponding 80-month clinical follow-up data showed that the mRNA expression ratio of MYO10 in tumor and tumor-free tissue is prognostic for overall survival of LUSC patients and predictive for the response of these patients to adjuvant chemotherapy. Thus, MYO10 represents a new clinical biomarker for this aggressive disease and due to its role in cellular motility and invasion could serve as a potential molecular target for therapeutic interventions in patients with LUSC.
Keyphrases
- transforming growth factor
- gene expression
- epithelial mesenchymal transition
- squamous cell carcinoma
- squamous cell
- end stage renal disease
- ejection fraction
- newly diagnosed
- poor prognosis
- prognostic factors
- single cell
- induced apoptosis
- peritoneal dialysis
- case report
- genome wide
- skeletal muscle
- physical activity
- machine learning
- cystic fibrosis
- risk assessment
- oxidative stress
- locally advanced
- human health
- papillary thyroid
- radiation therapy
- high glucose
- endothelial cells
- patient reported
- cell death
- young adults