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The result revealed that the proportion of males was higher, as well as falls and MVCs were the first two main reasons, with older mean age of patients with TSCI than other countries. The occupations with highest risk for TSCI were peasants and laborers. All of these results prompted that preventive methods should be based on the characteristics of different type of patients with TSCI.

Caveolin-1 is the principal components of caveolae membranes, implicated in oncogenesis and angiogenesis. Until now, its expression and functional significance in hepatocellular carcinoma (HCC) are still unclear. In the present study, we demonstrated that expression of caveolin-1 was markedly upregulated in HCC patients. In addition, increased caveolin-1 expression correlated positively with the histological differentiation, portal venous invasion, hepatic venous invasion, intrahepatic metastases, and recurrence, suggesting a role for caveolin-1 in the progression of HCC. HepG2 cell line was transfected with pcDNA3.1/caveolin-1 to observe the significance of the change in caveolin-1 expression. We showed that caveolin-1 overexpression could not only protect HepG2 cells from apoptosis but also enhance its migration and invasion by upregulating MMP-2, MMP-9, and VEGF expressions. Collectively, our clinical and in vitro data indicate that the status of caveolin-1 expression may be one of causative factors for the invasion and poor prognosis in HCC.

BackgroundHepatocellular carcinoma (HCC) is a common malignancy that has a poor prognosis because there is lack of methods for early diagnosis. We aimed to utilize two serum long non-coding RNAs (lncRNAs), uc001ncr and AX800134, to diagnose hepatitis B virus (HBV)–positive HCC.MethodslncRNA microarrays were utilized to measure the differential expression of lncRNAs between tumor tissues and corresponding non-tumor tissues in HBV-positive hapatocellular carcinoma. uc001ncr and AX800134 were selected as candidate lncRNAs and detected in three independent cohorts containing a total of 684 participants (healthy individuals and chronic HBV patients and HBV-positive HCC patients) who were recruited between March 2011 and December 2012. A logistic regression model was constructed using a training cohort (n = 353) and validated using an independent cohort (n = 181). The area under the receiver operating characteristic curve (AUC) was utilized to evaluate the diagnostic accuracy.ResultsWe determined that a panel based on the expression of uc001ncr and AX800134 accurately diagnosed HBV-positive HCC (AUC values of 0.9494 and 0.9491 for the training and validation cohorts, respectively). The diagnostic performance of the panel remained high in patients with AFP≤400 ng/ml (AUC values of 0.9371 and 0.9527 for the training and validation cohorts, respectively). The panel also diagnosed early HCC (AUC values of 0.9450 and 0.9564 for the training and validation cohorts, respectively).ConclusionOur results indicated that the serum expression of uc001ncr and AX800134 has potential as novel potential biomarker for the diagnosis of HCC, especially in patients with AFP≤400 ng/ml or early-stage disease (BCLC 0+A).