Matched Tissues

Abstract: Recently, an interesting relationship between potassium channels and cancer has evolved. The aim of this study is to investigate expression of Eag1 potassium channel in gastric cancer and its role in cancer cells growth.The expression of Eag1 for gasric cancer patients and cell lines as well as gastric adenoma was investigated by immunohistochemistry and reverse transcription polymerase chain reaction. In addition, imipramine was used to identify the involvement of Eag1 in the growth of SGC-7901 and BGC-823 cells. Frequency of positive expression of Eag1 protein was 70.5% (67/95) and Eag1 mRNA was 68.2% (15/22) in gastric cancer primary tissues. Eag1 mRNA was positively expressed in two gastric cell lines. Eag1 protein and mRNA were negatively expressed in paired non-cancerous matched tissues and 5 cases of adenoma tissues. The expression level of Eag1 protein was associated with lymph node metastasis (P = 0.049) and stage (P = 0.039), but had no correlation with sex, age, differentiation grades, and other organs metastases. Imipramine significantly inhibited the proliferation of SGC-7901 and BGC-823 cells at 12 h and 24 h detected by cells number counting and MTT assay (P < 0.01). The study indicates Eag1 is aberrantly expressed in gastric cancer tissues and cell lines and associated with cancer lymph node metastasis and stage and play an important role in the proliferation of gastric cancer cells.

Abstract: Multiple gene expression studies have been performed separately in peripheral blood, lung, and airway tissues to study COPD. We performed RNA-sequencing gene expression profiling of large-airway epithelium, alveolar macrophage and peripheral blood samples from the same subset of COPD cases and controls from the COPDGene study who underwent bronchoscopy at a single center. Using statistical and gene set enrichment approaches, we sought to improve the understanding of COPD by studying gene sets and pathways across these tissues, beyond the individual genomic determinants. We performed differential expression analysis using RNA-seq data obtained from 63 samples from 21 COPD cases and controls (includes four non-smokers) via the R package DESeq2. We tested associations between gene expression and variables related to lung function, smoking history, and CT scan measures of emphysema and airway disease. We examined the correlation of differential gene expression across the tissues and phenotypes, hypothesizing that this would reveal preserved and private gene expression signatures. We performed gene set enrichment analyses using curated databases and findings from prior COPD studies to provide biological and disease relevance. The known smoking-related genes CYP1B1 and AHRR were among the top differential expression results for smoking status in the large-airway epithelium data. We observed a significant overlap of genes primarily across large-airway and macrophage results for smoking and airway disease phenotypes. We did not observe specific genes differentially expressed in all three tissues for any of the phenotypes. However, we did observe hemostasis and immune signaling pathways in the overlaps across all three tissues for emphysema, and amyloid and telomere-related pathways for smoking. In peripheral blood, the emphysema results were enriched for B cell related genes previously identified in lung tissue studies. Our integrative analyses across COPD-relevant tissues and prior studies revealed shared and tissue-specific disease biology. These replicated and novel findings in the airway and peripheral blood have highlighted candidate genes and pathways for COPD pathogenesis.

Abstract: Aurora-A kinase has recently been shown to be deregulated in thyroid cancer cells and tissues. Among the Aurora-A substrates identified, transforming acidic coiled-coil (TACC3), a member of the TACC family, plays an important role in cell cycle progression and alterations of its expression occur in different cancer tissues. In this study, we demonstrated the expression of the TACC3 gene in normal human thyroid cells (HTU5), and its modulation at both mRNA and protein levels during cell cycle. Its expression was found, with respect to HTU5 cells, unchanged in cells derived from a benign thyroid follicular tumor (HTU42), and significantly reduced in cell lines derived from follicular (FTC-133), papillary (B-CPAP), and anaplastic thyroid carcinomas (CAL-62 and 8305C). Moreover, in 16 differentiated thyroid cancer tissues, TACC3 mRNA levels were found, with respect to normal matched tissues, reduced by twofold in 56% of cases and increased by twofold in 44% of cases. In the same tissues, a correlation between the expression of the TACC3 and Aurora-A mRNAs was observed. TACC3 and Aurora-A interact in vivo in thyroid cells and both proteins localized onto the mitotic structure of thyroid cells. Finally, TACC3 localization on spindle microtubule was no more observed following the inhibition of Aurora kinase activity by VX-680. We propose that Aurora-A and TACC3 interaction is important to control the mitotic spindle organization required for proper chromosome segregation.

Abstract: MicroRNA-128 is down-regulated in glioma tissues, which regulates cell proliferation, self-renewal, apoptosis, angiogenesis and differentiation. This study aims at investigating the diagnostic value of serum miR-128 in human glioma. Real-time quantitative reverse transcriptase polymerase chain reaction was used to detect the expression levels of miR-128 in serum samples from 151 glioma patients, 59 postoperative patients, 52 meningioma patients and 53 normal donors. To analyze the association of miR-128 expression with clinicopathological parameters in serum samples and matched tissues, matched 151 glioma tissues were collected in the study. Receiver operating characteristic analysis (ROC) was utilized to evaluate the value of serum miR-128 as a biomarker for the early diagnosis of glioma. Results revealed that miR-128 expression was significantly decreased in glioma preoperative serum compared with normal controls and meningioma serum samples (both P < 0.001). ROC analyses showed that serum miR-128 levels were reliable in distinguishing patients with glioma from normal controls and meningioma, with the area under the curve (AUC) values of 0.9095 and 0.8283, respectively. In addition, the AUC value for discriminating glioma II-IV from I was 0.7362. Importantly, serum miR-128 expression was significantly elevated after surgery (P < 0.001), although it didn’t reach to normal levels (P < 0.001). Furthermore, low miR-128 levels in serum and tissue were markedly correlated with high pathological grade and low Karnofsky Performance Status score (KPS). These findings proved that serum miR-128 could be a sensitive and specific biomarker of glioma.