Jiancheng Tu

Potential diagnostic value of lncRNA SPRY4-IT1 in hepatocellular carcinoma

The manifestation of hepatocellular carcinoma (HCC) involves a multi-factor, multi-step and complex process. Due to the lack of early prediction indices, numerous patients are diagnosed in their late stage. Recently, research in the field of non-coding RNAs (ncRNAs) has changed the original idea that ncRNA genes are just ̔noise̓. Cumulative evidence shows that long non-coding RNAs (lncRNAs) among ncRNAs play an increasingly important role in epigenetics, pre-transcription and post-transcription. In the present study, we focused on the expression pattern of lncRNA SPRY4 intronic transcriptxa01 (SPRY4-IT1) and its clinical significance in HCC diagnostics. We analyzed the expression, its association with clinical characteristics and the diagnostic value of SPRY4-IT1 using HCC tissues, cell lines and plasma. The levels of SPRY4-IT1 were upregulated in HCC and were associated with tumor differentiation (r=0.249, p=0.039), tumor size (r=0.258, p=0.024) and tumor-node-metastasis (TNM) stage (r=0.287, p=0.015). Meanwhile, the sensitive of SPRY4-IT1 was 87.3% in differentiating HCC patients from controls. Our data suggest that SPRY4-IT1 plays a critical role in HCC tumorigenesis and may be considered as a potential diagnostic indicator in HCC.

Identification of Circulating Long Noncoding RNA HOTAIR as a Novel Biomarker for Diagnosis and Monitoring of Non–Small Cell Lung Cancer

Long noncoding RNA (LncRNA) homeotic genes (HOX) transcript antisense RNA (HOTAIR) has been reported to play a vital role in various cancers. It has been found that HOTAIR was upregulated in non–small cell lung cancer (NSCLC) and involved in cell invasion and metastasis. The aberrant expression of HOTAIR is expected to serve as a potential biomarker for patients with NSCLC. Our aim in this study was to detect the plasma levels of HOTAIR and further evaluate its diagnostic value for NSCLC. The levels of HOTAIR were measured in 105 patients with NSCLC and 80 healthy controls by quantitative real-time polymerase chain reaction. The results indicated that plasma HOTAIR levels were higher in NSCLC than in healthy controls. Besides, plasma HOTAIR levels were associated with histology subtype (P = .039) and tumor-node-metastasis stage (P = .022). The ROC curves showed that plasma HOTAIR has high diagnostic accuracy for NSCLC, and the area under curve (AUC) for NSCLC versus healthy was 0.791 (95% CI: 0.727-0.855) which was higher than carcinoembryonic antigen (CEA) (AUC = 0.737, 95% CI: 0.666-0.808). Moreover, the combination of HOTAIR and CEA could provide a more accurate diagnosis than HOTAIR or CEA alone (AUC = 0.841, 95% CI: 0.783-0.898). Plasma HOTAIR levels were significantly lower in postoperative samples than in preoperative samples. Plasma HOTAIR could serve as a promising biomarker for diagnosing and monitoring NSCLC.

Identification of Circulating Long Noncoding RNA Linc00152 as a Novel Biomarker for Diagnosis and Monitoring of Non-Small-Cell Lung Cancer

Objective Long noncoding RNAs (lncRNAs) have been reported to play vital roles in non-small-cell lung cancer (NSCLC). Recently, long noncoding RNA Linc00152 has been reported to play important roles in various cancers. In this study, our aim was to investigate its expression pattern and clinical significance and further evaluate its diagnostic value for NSCLC. Methods The levels of Linc00152 were detected in NSCLC tissues and plasma samples by quantitative real-time PCR (qRT-PCR). Receiver operating characteristic (ROC) curves were depicted to evaluate the diagnostic value. Results We found that Linc00152 levels were upregulated in both NSCLC tissues and plasma samples. Plasma Linc00152 levels were significantly lower in postoperative samples than in preoperative samples. Besides, high Linc00152 expression was significantly correlated with tumor size (r = 0.293, P = 0.005) and tumor stage (r = 0.324, P = 0.011). The ROC curves indicated that plasma Linc00152 has high diagnostic accuracy for NSCLC, and the area under curve (AUC) for NSCLC versus healthy was 0.816 (95% CI: 0.757–0.875). Moreover, we found that the combination of Linc00152 and CEA could provide a more powerful diagnosis efficiency than Linc00152 or CEA alone (AUCu2009=u20090.881, 95% CI: 0.836–0.926). Conclusions Plasma Linc00152 could serve as a promising biomarker for diagnosing and monitoring NSCLC.

Peripheral Blood Leukocyte Expression of lncRNA MIAT and Its Diagnostic and Prognostic Value in Ischemic Stroke

BACKGROUNDnIschemic stroke (IS) is an extremely heterogeneous disease with variable pathogenesis. Due to the lack of early diagnostic markers, the mortality rate of IS remains high. Cumulative evidence shows that long noncoding RNAs among noncoding RNAs play important roles in cardiovascular diseases. In the present study, we focused on the expression pattern of myocardial infarction-associated transcript (MIAT) and its clinical significance in IS.nnnMETHODSnBlood samples were obtained from IS patients (nu2009=u2009189) and healthy controls (nu2009=u2009189). The National Institutes of Health Stroke Scale (NIHSS) was measured at the time of admission. Short-term functional outcome was measured by the modified Rankin Scale (mRS) at 3 months after admission. Multivariate analyses were performed using logistic regression models. The receiver operating characteristic (ROC) curve was used to evaluate the accuracy of MIAT in the diagnosis and prognosis of IS.nnnRESULTSnIn IS patients, MIAT expression level was significantly upregulated and correlated with NIHSS scores (ru2009=u2009.421, Pu2009<.001), mRS (ru2009=u2009.339, Pu2009<.001), high-sensitivity C-reactive protein (ru2009=u2009.309, Pu2009<.001), and infarct volume (ru2009=u2009.318, Pu2009<.001). ROC curves indicated that MIAT could serve as a potential marker for discriminating IS patients from the controls with an area under the curve of .842 (95% confidence interval, .802-.881). The overall survival analysis showed that patients with higher MIAT expression had a relatively poor prognosis. Meanwhile, the multivariate analysis revealed that MIAT was an independent prognostic marker of functional outcome and death in patients with IS.nnnCONCLUSIONnOur data suggested that MIAT might be a potential diagnostic and prognostic indicator in IS.

Plasma miR-92a-2 as a biomarker for small cell lung cancer

MicroRNAs (miRNAs) are small, non-coding RNAs that play important roles in the carcinogenesis and progression of cancers. Aberrant expression of miRNAs in tissue and plasma has been found in various solid tumors. Our research aims to determine whether the abnormal plasma miRNA expression patterns can be used as a predictive marker for the diagnosis and prognosis of small cell lung cancer (SCLC). Fifty SCLC patients and 30 healthy controls annotated with clinical characteristics and specific questionnaire survey for smoking history were available. Quantification of several miRNAs (miR-20a-5p, miR-92a-2-5p and miR-17-5p) was performed using quantitative real-time polymerase chain reaction (qRT-PCR), and results were analyzed using SPSS statistics 17.0. Plasma miR-92a-2 level was significantly higher in the SCLC patients group compared with healthy control (P< 0.0001), the receiver operating characteristic (ROC) curve analysis showed that the specificity and sensitivity were at 100% and 56% for diagnosis of SCLC, area under the ROC curve (AUC) was 0.761. No other statistically significant differences were found in the expression level of plasma miR-92a-2 among survival analysis in SCLC. Detection of miR-92a-2 levels in plasma could be a potential and noninvasive method for the diagnosis of SCLC.

Prognostic and Diagnostic Significance of SDPR-Cavin-2 in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is a malignant tumor worldwide. Due to the lack of early prediction marker, numerous patients were diagnosed in their late stage. The family of cavins plays important roles in caveolae formation and cellular processes. Cavin-2, one of the members of cavins, has been reported as a suppresser in cancers. In this study, we have investigated its expression pattern and clinical significance in HCC. Methods: RT‑qPCR was performed to detect the expression of cavin-2. Results: Cavin-2 was down-regulated in HCC and associated with tumor differentiation (r=-0.275, P=0.013) and tumor-node-metastasis (TNM) stage (r=-0.216, P=0.035). The Overall survival analysis showed that patients with lower cavin-2 expression had a relatively poor prognosis. Meanwhile, the multivariate analysis revealed that cavin-2 was an independent prognostic factor. The receiver operating characteristic curve analyses indicated that plasma cavin-2 presented a high accuracy (AUC=0.727, 0.865, 0.901) for diagnosing HCC cases from controls, hepatitis B and cirrhosis patients, respectively. Meanwhile, plasma cavin-2 showed a high sensitivity (88.4%, 89.9%) for detecting HCC with the serum α‑fetoprotein (AFP) levels below 200 ng/ml from those hepatitis B and cirrhosis cases. Conclusion: Our data suggested that cavin-2 might be considered as a potential prognostic and diagnostic indicator in HCC.

The prognostic significance of long noncoding RNAs in non-small cell lung cancer: a meta-analysis

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. The overall 5-year survival rate of patients is extremely low and to find a new marker is urgently needed. Numerous studies indicate that long noncoding RNAs (lncRNAs) abnormally express in cancers. However, the results have been disputed, especially in the aspects of tumor prognosis. Therefore, we performed this meta-analysis to systematically summarize the relationship between lncRNAs expression and NSCLC. A total of 34 eligible studies including 30 on overall survival, 10 on progression-free survival and 23 on clinicopathological features were identified from the databases. Our results indicated that the levels of lncRNAs were associated with the overall survival (OS; hazard ratios [HR], 1.43; 95% confidence interval [95% CI], 1.17-1.76; P < 0.001). However, there was no relationship between lncRNAs and progression-free survival (PFS; hazard ratios [HR], 1.55; 95% confidence interval [95% CI], 0.91-2.63; P = 0.11). Moreover, lncRNAs were related to lymph node metastasis (odds ratios [OR], 1.70; 95% confidence interval [95% CI], 1.03-2.80; P = 0.04), while no association was observed with other characteristics. In conclusion, our present meta-analysis indicated that lncRNAs transcription levels may serve as a promising marker for prognosis of patients with NSCLC.

The Circular RNA hsa_circ_0001445 Regulates the Proliferation and Migration of Hepatocellular Carcinoma and May Serve as a Diagnostic Biomarker

Circular RNAs (circRNA), a class of noncoding RNAs, have been found to be involved in various diseases. Here, the expression levels of the circRNA hsa_circ_0001445 in 73 pairs of hepatocellular carcinoma (HCC) and adjacent nontumor tissues were investigated by quantitative real-time polymerase chain reaction (qRT-PCR). Our data demonstrate that the hsa_circ_0001445 levels were significantly decreased in HCC tissues (P < 0.001) and markedly associated with the number of tumor foci (P = 0.014). Furthermore, in vitro approaches showed that overexpression of hsa_circ_0001445 promoted apoptosis and inhibited proliferation, migration, and invasion of HCC-derived cells, suggesting that hsa_circ_0001445 might be involved in the development of HCC. In addition, we found that the plasma hsa_circ_0001445 transcription levels in HCC patients were lower than those in cirrhosis (P < 0.001) and hepatitis B (P < 0.001) patients as well as in healthy controls (P < 0.001). In fact, receiver operating characteristic curve analysis indicated that plasma hsa_circ_0001445 could be a fairly accurate marker to distinguish HCC cases from healthy controls as well as patients with cirrhosis or hepatitis B.

Long Non-Coding RNA SPRY4-IT1 Can Predict Unfavorable Prognosis and Lymph Node Metastasis: a Meta-Analysis

Emerging evidences suggested that long non-coding RNAs (lncRNAs) play an interesting role in the tumor development and progression in various types of cancer. The aim of this study was to analyse the potential prognostic value for cancer patients . We systematically searched the reports through PubMed, Web of Science, Medline, CNKI, and the Cochrane Library from inception to March, 2016, and carefully identified according to eligibility criteria. This quantitative meta-analysis collected all relevant articles to investigated the association of SPRY4-IT1 expression status with overall survival (OS) and lymph node metastasis (LNM). A total of 765 patients with cancer from 8 studies were included in the final analysis. The hazard ratio (HR) of OS and the odds ratios (OR) of LNM were calculated to assess the association . The meta-analysis results showed high SPRY4-IT1 expression could predict unfavorable OS in various cancers (pooled HR: 2.18, 95% CI: 1.45–3.27, pxa0=xa00.001). Moreover, we found high SPRY4-IT1 expression was related to LNM (pooled ORxa0=xa03.86, 95%CI:1.31–11.35, Pxa0=xa00.01). LncRNA SPRY4-IT1 can serve as a new molecular marker for cancer metastasis and prognosis.

Prognostic value of abnormally expressed lncRNAs in ovarian carcinoma: a systematic review and meta-analysis

Ovarian cancer (OC) is the most deadly gynecological cancer and it is urgently needed to find a new marker for the progress of OC. Many long noncoding RNAs (lncRNAs) have been reported to be aberrantly expressed in ovarian carcinoma, and may serve as prognostic markers. Therefore, we conducted this meta-analysis to gain a better understanding of the prognostic value of lncRNAs in patients with varian carcinoma. We systematically searched PubMed, EMBASE, and Web of Science. A total of 13 eligible studies, including 10 on clinicopathological features, 13 on prognosis were identified. Pooled hazard ratios (HRs) or odds ratios (OR) and 95% confidence intervals (95% CIs) were calculated using random- or fixed-effects models. Our results revealed that the increased expressions of 8 lncRNAs were associated with poor prognosis and the decreased expressions of 5 lncRNAs were related to poor prognosis in ovarian carcinoma. High HOTAIR expression was associated with shorter overall survival in ovarian cancer (pooled HR: 2.05, 95% CI: 1.51-2.77, P < 0.001). In conclusion, our meta-analysis suggested that LncRNAs could function as potential prognostic markers for ovarian cancer patients and high expression HOTAIR was associated with shorter overall survival in ovarian cancer.