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 |
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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. |
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ISSN: | 1949-2553 1949-2553 |
DOI: | 10.18632/oncotarget.26574 |