Hedgehog signaling pathway molecules and ALDH1A1 expression in early-stage non-small cell lung cancer.

INTRODUCTION: The Hedgehog Signaling Pathway (HHSP) has been implicated in the development of multiple cancers. HHSP activation may primarily be hedgehog ligand-dependent in non-small cell lung cancer (NSCLC); while a subset may be ligand-independent. In this study NSCLC primary tumors were used to identify correlations between multiple biomarkers thought to be involved in the HHSP and the clinical outcomes of patients with NSCLC. Identification of such correlations could be used to aid in NSCLC treatment and predicting patient prognosis. METHODS: A tissue microarray representing 248 clinically annotated stage I-II NSCLC cases was stained using immunohistochemistry (IHC) and scored for HHSP proteins namely, SHH, PTCH1, SMO, GLI1, and GLI2; as well as, ALDH1A1, a putative cancer stem cell marker. Data was analyzed for correlation between IHC staining, EGFR and KRAS mutations, and clinical characteristics including relapse-free survival (RFS) and overall survival (OS). RESULTS: In adenocarcinoma, there were significant correlations of IHC expression between SHH and downstream HHSP receptor SMO (p=0.017) and transcription factor GLI1 (p=0.001), while SMO correlated with GLI1 (p=0.007). In squamous cell carcinoma, SHH significantly correlated with GLI2 protein expression (p=0.003). After multiple testing correction, there was no significant correlation between any of the six markers and RFS or OS. CONCLUSIONS: Key downstream components of the HHSP show correlation with sonic hedgehog ligand (SHH) expression, suggesting that ligand-dependent signaling is more prevalent in primary NSCLC tumors. Surprisingly, in early-stage NSCLC, there were no significant correlations between HHSP proteins or ALDH1A1 and RFS or OS.

miR-1254 and miR-574-5p: serum-based microRNA biomarkers for early-stage non-small cell lung cancer.

INTRODUCTION: The ability to diagnose non-small cell lung cancer (NSCLC) at an early stage may lead to improved survival. The aim of this study was to identify differentially expressed serum-based microRNAs (miRNAs) between patients with early-stage NSCLC and controls. These miRNAs may serve as biomarkers for NSCLC early detection. METHODS: miRNA profiling was performed on total RNA extracted from serum obtained from 22 individuals (11 controls and 11 patients with early-stage NSCLC). Quantitative polymerase chain reaction (qPCR) was used to validate the profiling results in the discovery set and in a validation set of 31 controls and 22 patients with early-stage NSCLC. Additionally, six matched plasma samples (four NSCLC cases and two controls) and three serum mesothelioma samples were analyzed by qPCR. Receiver operating characteristic curves were generated for each possible combination of the miRNAs measured by qPCR. RESULTS: The expression of hsa-miR-1254 and hsa-miR-574-5p was significantly increased in the early-stage NSCLC samples with respect to the controls. Receiver operating characteristic curves plotting these two miRNAs were able to discriminate early-stage NSCLC samples from controls with 82% and 77% of sensitivity and specificity, respectively, in the discovery cohort and with 73% and 71% of sensitivity and specificity, respectively, in the validation cohort. The mesothelioma and plasma samples did not seem to classify into either NSCLC or control groups. CONCLUSIONS: Serum miRNAs are differentially expressed between patients with early-stage NSCLC and controls. The utility of miR-1254 and miR-574-5p serum-based biomarkers as minimally invasive screening and triage tools for subsequent diagnostic evaluation warrants additional validation.

Resistance may not be futile: microRNA biomarkers for chemoresistance and potential therapeutics.

Chemoresistance to many commercially available cancer therapeutic drugs is a common occurrence and contributes to cancer mortality as it often leads to disease progression. There have been a number of studies evaluating the mechanisms of resistance and the biological factors involved. microRNAs have recently been identified as playing a role in the regulation of key genes implicated as cancer therapeutic targets or in mechanisms of chemoresistance including EGFR, MDR1, PTEN, Bak1, and PDCD4 among others. This article briefly reviews chemoresistance mechanisms, discusses how microRNAs can play a role in those mechanisms, and summarizes current research involving microRNAs as both regulators of key target genes for chemoresistance and biomarkers for treatment response. It is clear from the accumulating literature that microRNAs can play an important role in chemoresistance and hold much promise for the development of targeted therapies and personalized medicine. This review brings together much of this new research as a starting point for identifying key areas of interest and potentials for future study.