MiR-301a transcriptionally activated by HIF-2αpromotes hypoxiainduced epithelial-mesenchymal transition by targeting TP63 in pancreatic cancer

BACKGROUND Pancreatic cancer(PC)is one of the deadliest cancers worldwide.PC metastasis involves a complex set of events,including epithelial-mesenchymal transition(EMT),that increase tumor cell invasiveness.Recent evidence has shown that hypoxia is a major EMT regulator in pancreatic cancer cells and facilitates metastasis;however,the mechanisms remain elusive.AIM To investigate the role of miR-301a in hypoxia-induced EMT in PC cells.METHODS Real-time PCR and Western blot analysis were used to detect the expression of miR-301a and EMT markers in PDAC cells cultured in hypoxic and normoxic conditions.Western blot analysis was used to detect the expression of EMT markers in PDAC cells with miR-301a overexpression.Wound healing assay and Transwell assay were used to detect the migration capabilities of PDAC cells with miR-301a overexpression and knockout.Luciferase assay was used to detect the miR-301a promoter and the 3’untranslated region activity of TP63.Orthotopic PC mouse models were used to study the role of miR-301a in metastasis of PDAC cells in vivo.In situ hybridization assay was used to detect the expression of miR-301a in PDAC patient samples(adjacent paratumor and paired tumor tissues).RESULTS Hypoxic environment could directly promote the EMT of PC cells.The expression level of miR-301a was increased in a HIF2αdependent manner in hypoxia-cultured CFPAC-1 and BxPC-3 cells.Overexpression of miR-301a enhanced the hypoxia-induced EMT of PC cells,while knocking out miR-301a result in the suppression of hypoxia-induced EMT.TP63 was a direct target of miR-301a and involved in the metastatic process of PC cells.Furthermore,miR-301a upregulation facilitated PDAC distant metastasis and lymph node metastasis in vivo.Additionally,miR-301a overexpression was indicative of aggressive clinicopathological behaviors and poor prognosis.CONCLUSION The newly identified HIF-2α-miR301a-TP63 signaling pathway may play a crucial role in hypoxia-induced EMT in PDAC cells.

Preoperative diabetes as a protective factor for pancreatic fistula after pancreaticoduodenectomy: a meta-analysis

BACKGROUND： The role of diabetes mellitus （DM） in pancreatic fistula （PF） or clinical relevant PF （CR-PF） after pancreaticoduodenectomy （PD） or pylorus-preserving pancreaticoduodenectomy （PPPD） is unclear. We conducted a meta-analysis to investigate the relationship between DM and PF or CR-PF.DATA SOURCES： Embase, MEDLINE and Cochrane databases were searched systematically for relevant articles from January 2005 to June 2013. The selected studies that examined clinical risk factors of PF or CR-PF were included. We created pooled estimates for our outcomes using the random-effects model. RESULTS： Sixteen observational clinical studies were included. Pooling of PF rates from ten studies revealed that DM was associated with a decreased risk of PF （P=0.01）. CR-PF rates from 8 studies showed no significant difference between DM and control group （P=0.14）. CONCLUSIONS： DM is not a risk factor for PF in patients undergoing PD or PPPD. On the contrary, patients without DM are at a higher risk of PF because the pancreases in these patients have more fatty tissue and the pancreas is soft.

Real-Time Analysis and Prediction System for Rail Transit Passenger Flow Based on Deep Learning

With the rapid development of urban rail transit,rail transit plays an important role in alleviating city congestion.In recent years,with increasing pas-sengerflow,there has been huge pressure on passengerflow management.To address this problem,we propose a novel system to provide real-time statistics and predictions of passengerflow based on big data technology and deep learning technology.Moreover,the passengerflow is visualized efficiently in this system.It can provide refined passengerflow information so that people can make more rational decisions in terms of operation and planning,deploy contingency plans to avoid emergency situations,and integrate passengerflow analysis with train production,scheduling and operation to achieve cost reduction and efficiency enhancement.