MicroRNA signature predicts survival and relapse in lung cancer.

We investigated whether microRNA expression profiles can predict clinical outcome of NSCLC patients. Using real-time RT-PCR, we obtained microRNA expressions in 112 NSCLC patients, which were divided into the training and testing sets. Using Cox regression and risk-score analysis, we identified a five-microRNA signature for the prediction of treatment outcome of NSCLC in the training set. This microRNA signature was validated by the testing set and an independent cohort. Patients with high-risk scores in their microRNA signatures had poor overall and disease-free survivals compared to the low-risk-score patients. This microRNA signature is an independent predictor of the cancer relapse and survival of NSCLC patients.

A five-gene signature and clinical outcome in non-small-cell lung cancer.

BACKGROUND: Current staging methods are inadequate for predicting the outcome of treatment of non-small-cell lung cancer (NSCLC). We developed a five-gene signature that is closely associated with survival of patients with NSCLC. METHODS: We used computer-generated random numbers to assign 185 frozen specimens for microarray analysis, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) analysis, or both. We studied gene expression in frozen specimens of lung-cancer tissue from 125 randomly selected patients who had undergone surgical resection of NSCLC and evaluated the association between the level of expression and survival. We used risk scores and decision-tree analysis to develop a gene-expression model for the prediction of the outcome of treatment of NSCLC. For validation, we used randomly assigned specimens from 60 other patients. RESULTS: Sixteen genes that correlated with survival among patients with NSCLC were identified by analyzing microarray data and risk scores. We selected five genes (DUSP6, MMD, STAT1, ERBB3, and LCK) for RT-PCR and decision-tree analysis. The five-gene signature was an independent predictor of relapse-free and overall survival. We validated the model with data from an independent cohort of 60 patients with NSCLC and with a set of published microarray data from 86 patients with NSCLC. CONCLUSIONS: Our five-gene signature is closely associated with relapse-free and overall survival among patients with NSCLC.

Anti-invasive gene expression profile of curcumin in lung adenocarcinoma based on a high throughput microarray analysis.

Curcumin has been reported to exhibit anti-invasive and/or antimetastatic activities, but the mechanism remains unclear. In this study, microarray analysis of gene expression profiles were used to characterize the anti-invasive mechanisms of curcumin in highly invasive lung adenocarcinoma cells (CL1-5). Results showed that curcumin significantly reduces the invasive capacity of CL1-5 cells in a concentration range far below its levels of cytotoxicity (20 microM) and that this anti-invasive effect was concentration dependent (10.17 +/- 0.76 x 10(3) cells at 0 microM; 5.67 +/- 1.53 x 10(3) cells at 1 microM; 2.67 +/- 0.58 x 10(3) cells at 5 microM; 1.15 +/- 1.03 x 10(3) cells at 10 microM; P < 0.05) in the Transwell cell culture chamber assay. Using microarray analysis, 81 genes were down-regulated and 71 genes were up-regulated after curcumin treatment. Below sublethal concentrations of curcumin (10 microM), several invasion-related genes were suppressed, including matrix metalloproteinase 14 (MMP14; 0.65-fold), neuronal cell adhesion molecule (0.54-fold), and integrins alpha6 (0.67-fold) and beta4 (0.63-fold). In addition, several heat-shock proteins (Hsp) [Hsp27 (2.78-fold), Hsp70 (3.75-fold), and Hsp40-like protein (3.21-fold)] were induced by curcumin. Real-time quantitative reverse transcription-polymerase chain reaction, Western blotting, and immunohistochemistry confirmed these results in both RNA and protein levels. Curcumin (1 to 10 microM) reduced the MMP14 expression in both mRNA and protein levels and also inhibited the activity of MMP2, the down-stream gelatinase of MMP14, by gelatin zymographic analysis. Based on these data, it can be concluded that curcumin might be an effective antimetastatic agent with a mechanism of anti-invasion via the regulation of certain gene expressions.

Global analysis of differentially expressed genes in early gestational decidua and chorionic villi using a 9600 human cDNA microarray.

The global gene expression profiles of the decidua and chorionic villi of early human pregnancies were analysed by using cDNA microarray technology. Decidual and villous placental tissues were obtained from first trimester abortus and mRNA was extracted for cDNA microarray analysis. The human cDNA microarray [9600 clones, including known regulatory genes and expressed sequence tags (EST)] with colorimetric detection was used to identify differentially expressed genes between early gestational decidua and villi. According to cDNA microarray analysis, we have identified 641 genes with highly expressed mRNA in both decidua and villi, 49 genes with higher expressions in decidua, and 75 genes with higher expression in chorionic villi. These differentially expressed genes were further grouped into categories by their putative functions, including: cell growth-related factors, hormones/cytokines, cell adhesion molecules, signal transduction molecules, apoptosis-related factors, cytoskeleton/extracellular matrix proteins, and EST. Immunohistochemical stainings of cathepsin L, leukaemia inhibitory factor-receptor, and proliferative cell nuclear antigen showed results consistent with the microarray data. Identification of the differentially expressed genes between decidua and villi by microarray provide a global profiling of the gene expression pattern. This work adds to our understanding of placentation by reporting the gene expression profiles during first trimester human pregnancies using cDNA microarray.