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A disintegrin and metalloproteinase with thrombospondin motifs 10 (ADAMTS10) plays a role in extracellular matrix and correlates with Weill-Marchesani syndrome. However, its role in gastric cancer remains unknown. Thus, we started this research to unveil the role of ADAMTS10 in gastric cancer (GC).The expression of ADAMTS10 in GC was analyzed by immunohistochemical staining and quantitative RT-PCR (qRT-PCR). The effects of ADAMTS10 inhibiting GC cell progression were conducted by functional experiments in vitro and in vivo. Flow cytometry was used to discover changing of cell cycle, apoptosis and ROS by ADAMTS10 in GC cell. Western blot was applied to identify targets of ADAMTS10. Western blot, qRT-PCR and flow cytometry were applied to discover the effect of ADAMT10 on THP1.ADAMTS10 expression was downregulated in GC tissue and patients with low ADAMTS10 levels had poorer overall survival. ADAMTS10 overexpression altered cell cycle, promoted apoptosis, and inhibited proliferation, migration, and invasion in vitro and in vivo. ADAMTS10 regulated TXNIP and ROS through the JAK/STAT/c-MYC pathway. Decreasing TXNIP and ROS reversed the inhibitory effect of ADAMTS10 on cell migration and invasion in vitro. ADAMTS10 secreted by GC cells was absorbed by THP1 and regulated TXNIP and ROS in THP1. ADAMTS10 secreted by GC cells inhibited macrophage M2 polarization.These results suggest that ADAMTS10 targets TXNIP and ROS via the JAK/STAT/c-MYC pathway and that may play important roles in GC progression and macrophage polarization which indicates that ADAMTS10 can be a potential survival marker for gastric cancer.

The geometric and spatial characteristics of pore structures determine the permeability and water retention of soils, which have important effects on soil functional diversity and ecological restoration. Until recently, there have not been tools and methods to visually and quantitatively describe the characteristics of soil pores. To solve this problem, this research reconstructs the geometry and spatial distribution of soil pores by the marching cubes method, texture mapping method and the ray casting method widely used in literature. The objectives were to explore an optimal method for three-dimensional visualization of soil pore structure by comparing the robustness of the three methods on soil CT images with single pore structure and porosity ranging from low (2–5%) to high (12–18%), and to evaluate the reconstruction performance of the three methods with different geometric features. The results demonstrate that there are aliases (jagged edges) and deficiency at the boundaries of the model reconstructed by the marching cubes method and pore volumes are smaller than the ground truth, whereas the results of the texture mapping method lack the details of pore structures. For all the soil images, the ray casting method is preferable since it better preserves the pore characteristics of the ground truth. Furthermore, the ray casting method produced the best soil pore model with higher rendering speed and lower memory consumption. Therefore, the ray casting method provides a more advanced method for visualization of pore structures and provides an optional technique for the study of the transport of moisture and the exchange of air in soil.

The complex geometry and topology of soil is widely recognised as the key driver in many ecological processes. X-ray computed tomography (CT) provides insight into the internal structure of soil pores automatically and accurately. Until recently, there have not been methods to identify soil pore structures. This has restricted the development of soil science, particularly regarding pore geometry and spatial distribution. Through the adoption of the fuzzy clustering theory and the establishment of pore identification rules, a novel pore identification method is described to extract pore structures from CT soil images. The robustness of the adaptive fuzzy C-means method (AFCM), the adaptive threshold method, and Image-Pro Plus tools were compared on soil specimens under different conditions, such as frozen, saturated, and dry situations. The results demonstrate that the AFCM method is suitable for identifying pore clusters, especially tiny pores, under various soil conditions. The method would provide an optional technique for the study of soil micromorphology.

Background Despite the robotic surgery is widely applied, sleeve lobectomy for lung cancer using the Da Vinci surgical system is still less performed. We described a sleeve lobectomy for adenocarcinoma located at the left lower lobe using the Da Vinci surgical system. Case presentation A case of 57-year old female referred to our hospital. Computed tomography scan showed an occupation located at the left lower lobe and adenocarcinoma project from the lobe bronchus was diagnosed by bronchoscope examination. A sleeve lobectomy was performed using the Da Vinci surgical system and the postoperative recovery was uneventful. Conclusions Robotic thoracic surgery is feasible to perform sleeve lobectomy inspite of inadequate experience.

Although the survival of lung cancer patients has improved significantly due to the development of early detective tools, lung cancer remains a leading cause of cancer-related death after curative surgery. So it is extremely important for cancer patients to predict early metastasis, especially pleural dissemination, the most frequent type of recurrence in patients after surgery. Based on a retrospective study of 86 curatively resected lung cancer patients (training set), we determined a cutoff value of NSE mRNA using receiver-operating characteristic curve. Then, we prospectively used this cutoff value to validate the risk of pleural recurrence in a new cohort of 81 lung cancer patients (validation set) between April 2009 and June 2010 by real-time reverse transcriptase-polymerase chain reaction. During the median 27 months of postoperative surveillance, 16 of the 81 patients died, and 9 of the 16 developed pleural metastases. Multivariate analysis with the Cox proportional hazards model showed that positive NSE mRNA was a significant independent risk factor with both overall survival and pleural recurrence-free survival (both P < 0.0001) as end points which were significantly worse in patients with positive NSE mRNA (P < 0.0001). These results indicate that quantitative NSE mRNA in pleural fluid is a reliable prognostic indicator of pleural recurrence in the clinical setting.