LncRNA-SNHG7 interferes with miR-34a to de-sensitize gastric cancer cells to cisplatin.

Gastric cancer (GC) remains poor prognosis and survival issues due to the resistance of chemotherapies, such as cisplatin. The long non-coding RNA small nucleolar RNA host gene 7 (lncRNA-SNHG7) is known as an oncogenic molecule in diverse cancers. Here, we demonstrate that SNHG7 was significantly upregulated in gastric cancer and positively correlated with cisplatin resistance of gastric cancer cells that SNHG7 was significantly upregulated in cisplatin resistant cells. Silencing SNHG7 dramatically sensitized cisplatin resistant cells. In contrast, a negative correlation between lncRNA-SNHG7 and miR-34a was found that miR-34a was downregulated in gastric cancer patient tissues and significantly sensitized cisplatin resistant gastric cancer cells. Intriguingly, bioinformatical analysis indicated miR-34a has putative biding site for SNHG7 and such negative association between SNHG7 and miR-34a was verified in gastric cancer tissues. The cisplatin resistant cells displayed increased glycolysis rate and SNHG7 promoted cellular glycolysis rate of gastric cancer cells. Luciferase assay illustrated LDHA, a glycolysis enzyme, was the direct target of miR-34a. Importantly, inhibiting SNHG7 successfully suppressed LDHA expressions and sensitized cisplatin resistant cells and such inhibitory effects could be recovered by further anti-miR-34a. These findings suggest an important regulator mechanism for the SNHG7-mediated cisplatin resistance via miR-34a/LDHA-glycolysis axis.

Significance of measurements of herniary area and volume and abdominal cavity volume in the treatment of incisional hernia: application of CT 3D reconstruction in 17 cases.

OBJECTIVE: To investigate the value of CT 3D reconstruction in the diagnosis and treatment of incisional hernia and the related factor of abdominal cavity volume. METHODS: Abdominal wall defect and herniary volume were measured using 3D reconstruction based on plain CT scans in 17 patients with incisional hernias. RESULTS: The herniary diameter, area and volume could be measured in the 17 patients and the abdominal cavity volume was also measured in 10 patients using the 3D reconstruction technique. The correlation indices of the abdominal cavity volume with the patient's height, weight and body mass index (BMI) were all less than 0.01. CONCLUSION: Herniary area and volume and abdominal cavity volume can be accurately calculated through CT 3D reconstruction. The patch area should be more than 5 times as large as the defect area; combined with the perioperative overlap margin measurement method, this results in more scientific surgical management. The ratio of the herniary volume to the abdominal cavity volume may be conducive to preoperative assessment of the risk of abdominal compartment syndrome (ACS); however, the ratio that may lead to postoperative ACS remains to be determined. There are correlations of abdominal cavity volume with patient height, weight and BMI, especially with weight. We therefore propose that the abdominal cavity volume should be evaluated with internationally accepted indices.