Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer

Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Aff...

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Veröffentlicht in:Oncotarget 2019-01, Vol.10 (8), p.810-824
Hauptverfasser: Gordian, Edna, Welsh, Eric A, Gimbrone, Nicholas, Siegel, Erin M, Shibata, David, Creelan, Ben C, Cress, William Douglas, Eschrich, Steven A, Haura, Eric B, Muñoz-Antonia, Teresita
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Sprache:eng
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Zusammenfassung:Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Affymetrix microarray analysis. The final 105-probeset signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the and gene signatures predicted overall survival (OS) and metastasis-free survival (MFS). The TGFβ-EMT signature was validated as prognostic of 5-year MFS in 3 cohorts: a 133 NSCLC tumor dataset ( = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors ( = 0.0015), and a previously published NSCLC MFS dataset ( = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS = -28.6%; ΔMFS = -25.2%) than at 5 years (ΔMFS = -18.6%; ΔMFS = -11.8%). In addition, the signature correlated with whether the cancer had already metastasized or not at time of surgery in a colon cancer cohort. The results show that the signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the signature has the potential to be developed as a clinically relevant predictive biomarker, for example to identify those patients with resected early stage lung cancer who may benefit from adjuvant therapy.
ISSN:1949-2553
1949-2553
DOI:10.18632/oncotarget.26574