Expression data of final 74 custom microarray genes in 20 gastric cancer patients.

<p>Each column represents a tumor and each row a gene. </p

Expression data matrix of 371 potential prognostic markers genes from tumors of 20 gastric cancer patients hybridized using the custom microarray.

<p>Each column represents a tumor and each row a gene. The length and the subdivision of the branches display the relatedness of the GC (bottom) and the expression of the genes (right). The yellow line marks the subdivision into two dominant clusters. The expressions of genes between two groups have significant differences, fold change log₂ >=1 or <= -1, P<0.01.</p

Converting a Microarray Signature into a Diagnostic Test: A Trial of Custom 74 Gene Array for Clarification and Prediction the Prognosis of Gastric Cancer

<div><p>Background</p><p>Gastric cancer (GC) is associated with high mortality rates and an unfavorable prognosis at advanced stages. In addition, there are no effective methods for diagnosing gastric cancer at an early stage or for predicting the outcome for the purpose of selecting patient-specific treatment options. Therefore, it is important to investigate new methods for GC diagnosis. </p> <p>Methodology/Principal Findings</p><p>To facilitate its use in a diagnostic setting, a group of 74 genes with diagnostic and prognostic information was translated into a customized microarray containing a reduced set of 1,042 probes suitable for high throughput processing. In this report, we demonstrate for the first time that the custom mini-array can be used as a reliable diagnostic tool in gastric cancer. With an AUC value of 0.565 (95% CI 0.305-0.825) indicating a perfect test, the sensitivity and specificity of diagnosis from the ROC curve were calculated to be 70% and 80%, respectively. </p> <p>Conclusions/Significance</p><p>The data clearly demonstrate the reproducibility and robustness of the small custom-made microarray. The array is an excellent tool for classifying and predicting the outcome of disease in gastric cancer patients.</p> </div

Expression data matrix of reproduction associated genes from tumors of 20 gastric cancer patients hybridized using the custom microarray.

<p>The expressions of genes between two groups have significant differences, fold change log₂ >=1 or <= -1, P<0.01.</p

Survival curves of patients in two groups classified by the 74 genes microarray.

<p>The x-axis indicated the months within which the patients still alive. The y-axis indicated that the percentage of alive patients (including the ones with metastasis or recurrence).</p

Expression data of genes from tumors and non-tumor specimens of 20 gastric cancer patients hybridized using the custom microarray of differential expression genes between two groups.

<p>Each column represents a sample and each row a gene. The character of “T” refers to tumor and the character of “S” refers to premalignant tissue in sample names. The expressions of genes between two groups have significant differences, fold change log₂ >=1 or <= -1, P<0.01.</p

Comparison of the expression changes detected by oligonucleotide microarray and quantitative QRT-PCR analyses.

<p>The vertical numbers with log₂ transformation are the pair-matched ratio of malignant lesions to premalignant lesions. A. The columns stand for the ratios derived from quantitative QRT- PCR experiment. B. Comparison of the ratios between microarray and quantitative QRT-PCR analyses.</p

Expression data of final 74 custom microarray genes of the patients in previous study in the former data.

<p>The yellow line marks the subdivision into two dominant clusters by two-dimensional cluster analysis. The white line marks the subdivision into two dominant clusters with optimized sensitivity.</p

Expression data of custom microarray compared to previous study of the whole genes array with the same patient.

<p>The data indicated the expression ratio of malignant/premalignant. There were no significant differences between two groups.</p

Snail-Regulated MiR-375 Inhibits Migration and Invasion of Gastric Cancer Cells by Targeting JAK2

<div><p>MicroRNAs (miRNAs) have been reported to play a critical role in cancer invasion and metastasis. Our previous study showed that miR-375 frequently downregulated in gastric cancer suppresses cell proliferation by targeting Janus kinase 2 (JAK2). Here, we further found that the expression level of miR-375 is significantly decreased in metastatic gastric cancer tissues compared with the non-metastasis controls. Ectopic expression of miR-375 inhibits the migration and invasion of gastric cancer cells partially by targeting JAK2. Furthermore, miR-375 expression is negatively regulated by the metastasis associated transcription factor Snail, which directly binds to the putative promoter of miR-375. Moreover, overexpression of Snail can partially reverse the inhibition of gastric cancer cell migration caused by miR-375. Taken together, these data suggest that miR-375 may be negatively regulated by Snail and involved in gastric cancer cell migration and invasion potentially by targeting JAK2.</p></div