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Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature (TGFβ-EMT) 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 TGFβ-EMT signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the TGFβ-EMT and TGFβ-EMTN 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 (P = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors (P = 0.0015), and a previously published NSCLC MFS dataset (P = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS TGFβ-EMT = −28.6%; ΔMFS TGFβ-EMTN = −25.2%) than at 5 years (ΔMFS TGFβ-EMT = −18.6%; ΔMFS TGFβ-EMTN = −11.8%). In addition, the TGFβ-EMT 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 TGFβ-EMT signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the TGFβ-EMT 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.

INTRODUCTION To address the lack of genomic data from Hispanic/Latino (H/L) patients with lung cancer, the Latino Lung Cancer Registry was established to collect patient data and biospecimens from these patients. METHODS This retrospective observational study examined lung cancer tumor samples from 163 H/L patients, and tumor-derived DNA was subjected to targeted-exome sequencing (>1000 genes, including EGFR, KRAS, STK11, and TP53) and ancestry analysis. Mutation frequencies in this H/L cohort were compared with those in a similar cohort of non-Hispanic white (NHW) patients and were correlated with ancestry, sex, smoking status, and tumor histology. RESULTS Among adenocarcinomas (n=120) in the H/L cohort, 31% had EGFR mutations, versus 17% in the NHW control group (p < 0.001). KRAS (20% vs. 38%; p=0.002) and STK11 (8% vs. 16%; p=0.065) mutations occurred at lower frequency, and mutations in TP53 occurred at similar frequency (46% vs. 40%; p=0.355) in H/L and NHW patients, respectively. Within the Hispanic cohort, ancestry influenced the rate of TP53 mutations (p=0.009) and may influence the rate of EGFR, KRAS, and STK11 mutations. CONCLUSIONS Driver mutations in H/L lung adenocarcinoma patients differ in frequency from those in NHWs associated with their Indigenous American ancestry. The spectrum of driver mutations needs to be further assessed in the H/L population.