Objective MiR-375 is lowly expressed in esophageal squamous cancer cells and the downstream target gene of miR-375 remains unclear .This paper discusses the role of miR-375 in regulating the expression of short stature homobox 2 ( SHOX2) in human esophageal squamous cancer cells . Methods The bioinformatics software TargetScan , miRanda, PicTar, miRTarget2, and PITA were used to predict the assumptive targets of miR-375 in SHOX2.Then, two recombinant luciferase gene report plasmids containing wild pSHOX2 3′UTR ( pSHOX2-375-WT ) and mutant pSHOX2 3′UTR ( pSHOX2-375-mut ) were constructed , sequenced , and identified.Human esophageal squamous cancer cells were co-transfected with miR-375 mimics and pSHOX2-375-WT or pSHOX2-375-mut, respectively , and divided into 7 groups: pmiR, pSHOX2-375-WT, pSHOX2-375-WT +miR-375, pSHOX2-375-WT +miR-NC, pSHOX2-375-mut, pSHOX2-375-mut+miR-375, and pSHOX2-375-mut+miR-NC, each subjected to the measurement of luciferase activity .The expressions of SHOX 2 mRNA and protein were de-termined after transfection of the esophageal squamous cancer cells with miR-375 mimics, and so were the expressions of miR-375 and SHOX2 in the esophageal squamous carcinoma tissue samples obtained postoperatively . Results Prediction with the five software showed only one conserved function site of miR-375 in SHOX2 3′UTR at 1156-1170 bp.Luciferase activity was significantly lower in the pSHOX2-375-WT+miR-375 group (0.261 ±0.036) than in the pmiR (1.818 ±0.061), pSHOX2-375-WT (1.820 ±0.086), pSHOX2-375-WT+miR-NC (1.851 ±0.094), pSHOX2-375-mut (1.861 ±0.059), pSHOX2-375-mut +miR-375 (1.896 ± 0.048), and pSHOX2-375-mut+miR-NC group (1.760 ±0.062) ( P<0.01).SHOX2 mRNA and protein expressions were sup-pressed by the overexpression of miR-375 in the EC9706 cells.The expression of miR-375 was decreased, while that of SHOX2 in-creased in the esophageal squamous carcinoma tissue as compared with the normal esophageal tissue . Conclusion MiR-375 regu-lates the expression of the SHOX 2 gen in esophageal squamous cancer cells .

Objective To investigate the diagnostic value of multiplanar reformation (MPR)reconstruction for the detection of traumatic diaphragmatic rupture (TDR) in multi-slice CT examination.Methods Thirty six cases with thoracoabdominal trauma, including 21 cases with and 15 cases without TDR confirmed by surgery, received multi-slice CT examination. They were enrolled in this study. Three experienced radiologists retrospectively analyzed the axial and MPR images. The diagnostic criteria for TDR included abnormally elevated hemidiaphragm, diaphragmatic discontinuity, the "collar sign" or "dependent viscera "sign. Referenced to surgical results, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of axial and MPR images in detection of TDR were calculated. The McNemar was used to investigate the differences between axial and MPR images in the detection of diaphragmatic discontinuity and "collar sign", and the differences between axial and MPR images of these two signs in TDR diagnosis. Results The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of axial images in detection of TDR were 71% ( 15/21 ), 80% ( 12/15 ), 83% ( 15/18 ),67% ( 12/18 ) and 75% ( 27/36 ), respectively; of MPR images, they were 86% ( 18/21 ), 93%(14/15), 95% ( 18/19 ), 82% ( 14/17 ) and 89% ( 32/36), respectively. By axial images, twelve diaphragmatic defects or interrupts were identified in nine cases, and "collar sign" was identified in six cases. By MPR, 20 diaphragmatic defects or interrupts were identified in 15 cases ( P = 0.125 ), and "collar sign" was identified in 14 cases (P =0.021 ). The sensitivity and specificity of diaphragmatic defects or interrupts for TDR diagnosis in axial images were 43% (9/21) and 80% ( 12/15 ), respectively;in MPRimages, they were71% (15/21) (P=0.125)and93% (14/15) (P=0.500), respectively.The sensitivity and specificity of "collar sign" for TDR diagnosis in axial images were 29% (6/21) and 100% ( 15/15), respectively; in MPR images, they were 67% ( 14/21 ) (P =0. 021 ) and 100% (15/15)( P = 1.000), respectively. Conclusions MSCT presented good sensitivity, specificity and accuracy for the diagnosis of TDR. MPR images were useful supplements for axial images in TDR diagnosis which improved the diagnosis.