Search

Background As a candidate oncogene, PLAC8 participate in genesis and progression of various tumors. However, the role of PLAC8 in lung cancer (LC) especially non-small cell lung cancer (NSCLC) is still limited. Methods We performed Tissue microarray analysis (TMA) and Real-Time PCR (RT-PCR) to detect the expression levels of PLAC8 in LC tissues and cell lines, respectively. Then a series of cellular experiments focusing on cell proliferation, cell cycle, cell motility were conducted to identified the role of PLAC8 in NSCLC-derived cell lines H1299 and A549. Results TMA and RT-PCR showed that PLAC8 played complicated even opposite roles in different LCs. Further cellular experiments confirmed that PLAC8 could promote cell viability, alter cell cycle, and accelerate cell mobility via regulation of cell cyclins or cadherins, respectively. Conclusions Our study indicated that PLAC8 might participate in LC especially NSCLC progression. Our study also shed new light on the potential role of PLAC8 as a therapeutic biomarker in NSCLC.

Phytochemical investigation of the resin of Liquidambar formosana Hanc led to the separation and identification of five undescribed pentacyclic triterpenoids, including two lupane type, one taraxerane type, and two oleanane type triterpenoids, in addition to ten known analogues. Structures and relative or absolute configurations were elucidated by intensive spectroscopic methods, and single-crystal X-ray diffraction analysis. All isolated compounds were evaluated for their anti-angiogenic effects in vitro against VEGF-induced endothelial cell proliferation and migration in HUVECs. Among them, (5R, 8R, 9R, 10R, 13S, 14R, 17R, 18R, 19S)-17,18-epoxy-17,18-seco-28-norlupa-17- hydroxy-20 (29) -ene-3-one, (5R, 8R, 9R, 10R, 13S, 14R, 17S, 18S, 19S, 20S)-17, 20-peroxy-28- norlupa −29 -hydroxy- 3-one, 11α,12α:13β,28-diepoxyoleanane- 3-one, 28-norlup-20 (29)-ene- 3β,17β-diol, liquidambaric lactone and 13,28-epoxy-11- oleanene- 3-one significantly inhibited VEGF-induced HUVECs proliferation with IC50 values ranging from 1.64 ± 0.36 to 7.06 ± 0.28 μM. In addition, they also effectively decreased VEGF-induced cell migration with IC50 values ranging from 1.57 ± 0.60 to 4.77 ± 0.62 μM. The structure-activity relationship of these compounds is discussed. The anti-angiogenic property of (5R, 8R, 9R, 10R, 13S, 14R, 17R, 18R, 19S)-17,18-epoxy-17,18-seco-28-norlupa-17- hydroxy-20 (29) -ene-3-one is mediated by the VEGFR2 - AKT signaling pathway.

Network representation learning is an important way for learning the low dimensional vector of nodes in the network, with preserving certain structural information between nodes in the original graph. Most existing network embedding models use truncated random walks and shallow architectures which do not fully obtain the nonlinear information and neighborhood information of the network. In this article, we propose a novel method for network representation learning which generates low-dimensional representation vectors for each node in the graph by obtaining the local and global structure information of the network. Unlike previous work, we use the hybrid BFS and DFS methods to sample the neighbor information of each node instead of using the uniform sampling method in DeepWalk to generate the linear sequences. After obtaining the linear sequences, we use a sequence to sequence network that contains a teaching sequence which is proved effective in capturing the nonlinear information of graph, to learn the reconstruction error of the input sequence and the output sequence. We named our method SSNR which is not only preserve both the local and global network structure information, but also capture the nonlinear information from network to achieve more discriminative node representation. To verify the effectiveness of SSNR, we employ the learned node representation as features in downstream experiments with node classification and graph visualization tasks. The experimental results of different datasets demonstrate that SSNR outperforms many state-of-the-art baseline models in these tasks.

To retrospectively evaluate the computed tomography (CT)/magnetic resonance imaging (MRI) imaging features of epithelioid angiomyolipoma of the liver (Epi-HAML), with pathology as a reference.The CT/MRI findings (number, diameter, lobar location, and appearance of lesions) in a series of 10 patients with 12 pathologically proven epithelioid angiomyolipomas of the liver were retrospectively analyzed. The imaging features, including attenuation/signal intensity characteristics, presence of fat, hypervascular, outer rim, and vessels within lesion, were evaluated and compared with that of non-Epi-HAML in 11 patients (13 lesions). The Fisher exact test was used to compare difference in probability of imaging features between the two types.For 21 patients, CT images of 15 patients and MR images of six patients were available. No patient underwent two examinations. For the 15 patients with a CT scan, all HAML lesions in the two groups (10 Epi-HAML and seven non-Epi-HAML) manifested as hypoattenuation. For the six patients with MRI, all lesions (two Epi-HAML and six non-Epi-HAML) were hypointense on T1WI (fat suppression) and hyperintense on T2WI. There were 10 non-Epi-HAML, but only two Epi-HAML lesions showed the presence of fat, which significantly different between the two types (P = 0.005). On the dynamic contrast enhancement (DCE) imaging, eight Epi-HAML, and 13 non-Epi lesions manifested as hypervascular. Punctate or curved vessels were displayed in 10 Epi-HAML as well as in nine non-Epi lesions and outer rim enhancement could be found with eight Epi-HAML as well as six non-Epi lesions.Little or no presence of adipose tissue was found to be an imaging feature of Epi-HAML, compared with the non-Epi type. In addition, hypervascularity with opacification of central punctiform or filiform vessels on DCE would be a characteristic enhancement pattern for Epi-HAML.