The impact of hyperglycemia on adhesion between endothelial and cancer cells revealed by single‐cell force spectroscopy

The impact of hyperglycemia on adhesion between lung carcinoma cells (A549) and pulmonary human aorta endothelial cells (PHAEC) was studied using the single‐cell force spectroscopy. Cancer cells were immobilized on a tipless Atomic Force Microscopy (AFM) cantilever and a single layer of endothelial cells was prepared on a glass slide. The measured force‐distance curves provided information about the detachment force and about the frequency of specific ligand‐receptor rupture events. Measurements were performed for different times of short term (up to 2 h) and prolonged hyperglycemia (3 h ‐ 24 h). Single‐cell force results were correlated with the expression of cell adhesion molecules (intercellular adhesion molecule, P‐selectin) and with the length and density of the PHAECs glycocalyx layer, which were measured by AFM nanoindentation. For short‐term hyperglycemia, we observed a statistically significant increase of the adhesion parameters that was accompanied by an increase of the glycocalyx length and expression of P‐selectin. Removal of hyaluronic acid from PHAECs glycocalyx significantly decreased the adhesion parameters, which indicates that hyaluronic acid has a strong impact on adhesion in A549/PHAEC system in short term of hyperglycemia. For prolonged hyperglycemia, the most significant increase of adhesion parameters was observed for 24 hours and this phenomenon correlated with the expression of adhesion molecules and a decrease of the glycocalyx length. Taking together, presented data indicate that both mechanical and structural properties of the endothelial glycocalyx strongly modulate the adhesion in the A549/PHAEC system.     

ShRNA knock‐down of CXCR7 inhibits tumour invasion and metastasis in hepatocellular carcinoma after transcatheter arterial chemoembolization

To investigate the effects of lentiviral vector‐mediated shRNA suppressing CXCR7 on tumour invasion and metastasis in hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE). HCCLM3 cell lines were cultured and assigned into the CXCR7‐shRNA, negative control (NC) and blank groups. The qRT‐PCR and Western blotting were applied to detect the mRNA and protein expressions of CXCR7, CXCR4 and MMP‐2 in HCCLM3 cells. Cell proliferation and invasion were evaluated by MTT and Transwell assays. A Buffalo rat model of HCC was established. Fifty model rats were divided into the CXCR7‐shRNA + TACE, CXCR7‐shRNA, TACE, NC and control groups. Immunohistochemistry was performed to detect the expressions of CXCR7, MMP‐2, vascular endothelial growth factor (VEGF) and intratumoral CD31‐positive vessel count in tumour tissues of mice. Compared with the blank and NC groups, the mRNA and protein expressions of CXCR7 and MMP‐2 were decreased in the CXCR7‐shRNA group. The cell proliferation and invasion rates of the CXCR7‐shRNA group were lower than the blank and NC groups. At the 4th week after TACE, tumour weight of the CXCR7‐shRNA + TACE group increased continuously. The CXCR7‐shRNA + TACE group showed longer survival time and smaller tumour sizes than other groups. Compared with other groups, the CXCR7‐shRNA + TACE and CXCR7‐shRNA groups had less number of lung metastatic nodules and lower expressions of CXCR7, MMP‐2, VEGF and CD31‐positive vessel count. CXCR7‐shRNA inhibits tumour invasion and metastasis to improve the efficacy of TACE in HCC by reducing the expressions of CXCR7, MMP‐2 and VEGF.     

The Thr300Ala variant of ATG16L1 is associated with decreased risk of brain metastasis in patients with non-small cell lung cancer

Non-small cell lung cancer (NSCLC) often metastasizes to the brain, but identifying which patients will develop brain metastases (BM) is difficult. Macroautophagy/autophagy is critical for cancer initiation and progression. We hypothesized that genetic variants of autophagy-related genes may affect brain metastases (BM) in NSCLC patients. We genotyped 16 single nucleotide polymorphisms (SNPs) in 7 autophagy-related (ATG) genes (ATG3, ATG5, ATG7, ATG10, ATG12, ATG16L1, and MAP1LC3/LC3) by using DNA from blood samples of 323 NSCLC patients. Further, we evaluated the potential associations of these genes with subsequent BM development. Lung cancer cell lines stably transfected with ATG16L1: rs2241880 (T300A) were established. Mouse models of brain metastasis were developed using cells transfected with ATG16L1–300T or ATG16L1–300A. ATG10: rs10036653 and ATG16L1: rs2241880 were significantly associated with a decreased risk of BM (respective hazard ratios [HRs]=0.596, 95% confidence interval [CI] 0.398–0.894, P = 0.012; and HR = 0. 655, 95% CI 0.438–0.978, P = 0.039, respectively). ATG12: rs26532 was significantly associated with an increased risk of BM (HR=1.644, 95% CI 1.049–2.576, P = 0.030). Invasion and migration assays indicated that transfection with ATG16L1–300T (vs. 300A) stimulated the migration of A549 cells. An in vivo metastasis assay revealed that transfection with ATG16L1–300T (vs. 300A) significantly increased brain metastasis. Our results indicate that genetic variations in autophagy-related genes can predict BM and that genome analysis would facilitate stratification of patients for BM prevention trials.     

胃癌侵袭转移相关基因研究进展

胃癌死亡率居高不下的原因主要在于广泛的侵袭和转移。恶性肿瘤的侵袭和转移是一个受多因素调控、多种基因参与的多步骤、多阶段、连续复杂的主动过程,很多机制现在还不清楚。但是目前很多研究表明肿瘤间质中的血管生成和细胞外基质的降解是恶性肿瘤侵袭和转移的重要步骤。随着分子生物技术的飞速发展,对这两个步骤基因水平上的研究已成为热点,并发现了例如血管内皮生长因子、基质金属蛋白酶多种基因通过不同方式调控肿瘤血管生成和细胞外基质降解,从而导致胃癌的侵袭和转移。     

Actuation of single downstream nodes in growth factor network steers immune cell migration

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Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

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Chibby1 knockdown promotes mesenchymal-to-epithelial transition-like changes

Chibby1 (Cby1) was originally isolated as a binding partner for β-catenin, a dual function protein in cell-cell adhesion and in canonical Wnt signaling. The canonical Wnt/β-catenin pathway is dysregulated in various diseases including cancer, most notably of the gastrointestinal origin. To investigate the role of Cby1 in colorectal tumorigenesis, we generated stable Cby1-knockdown (K_D) SW480 colon cancer cells. Unexpectedly, we found that Cby1 K_D induces mesenchymal-to-epithelial transition (MET)-like changes in SW480 as well as in HEK293 cells. Cby1-K_D cells displayed a cuboidal epithelial morphology with tight cell-cell contacts. In Cby1-K_D cells, the plasma membrane localization of E-cadherin and β-catenin was dramatically increased with formation of cortical actin rings, while the levels of the mesenchymal marker vimentin were decreased. Consistent with these changes, in wound healing assays, Cby1-K_D cells exhibited epithelial cell-like properties as they migrated collectively as epithelial sheets. Furthermore, the anchorage-independent growth of Cby1-K_D cells was reduced as determined by soft agar assays. These findings suggest that chronic Cby1 K_D in colon cancer cells may counteract tumor progression by promoting the MET process.     

Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS)

Artificial immune recognition system (AIRS) classification algorithm, which has an important place among classification algorithms in the field of artificial immune systems, has showed an effective and intriguing performance on the problems it was applied. AIRS was previously applied to some medical classification problems including breast cancer, Cleveland heart disease, diabetes and it obtained very satisfactory results. So, AIRS proved to be an efficient artificial intelligence technique in medical field. In this study, the resource allocation mechanism of AIRS was changed with a new one determined by fuzzy-logic. This system, named as fuzzy-AIRS was used as a classifier in the diagnosis of lymph diseases, which is of great importance in medicine. The classifications of lymph diseases dataset taken from University of California at Irvine (UCI) Machine Learning Repository were done using 10-fold cross-validation method. Reached classification accuracies were evaluated by comparing them with reported classifiers in UCI web site in addition to other systems that are applied to the related problems. Also, the obtained classification performances were compared with AIRS with regard to the classification accuracy, number of resources and classification time. While only AIRS algorithm obtained 83.138% classification accuracy, fuzzy-AIRS classified the lymph diseases dataset with 90.00% accuracy. For lymph diseases dataset, fuzzy-AIRS obtained the highest classification accuracy according to the UCI web site. Beside of this success, fuzzy-AIRS gained an important advantage over the AIRS by means of classification time. By reducing classification time as well as obtaining high classification accuracies in the applied datasets, fuzzy-AIRS classifier proved that it could be used as an effective classifier for medical problems.     

Synthesis and evaluation of 2,5 and 2,6 pyridine-based CXCR4 inhibitors

Targeting the interaction between G-Protein Coupled Receptor, CXCR4, and its natural ligand CXCL12 is a leading strategy to mitigate cancer metastasis and reduce inflammation. Several pyridine-based compounds modeled after known small molecule CXCR4 antagonists, AMD3100 and WZ811, were synthesized. Nine hit compounds were identified. These compounds showed lower binding concentrations than AMD3100 (1000 nM) and six of the nine compounds had an effective concentration (EC) less than or equal to WZ811 (10 nM). Two of the hit compounds (2g and 2w) inhibited invasion of metastatic cells at a higher rate than AMD3100 (62%). Compounds 2g and 2w also inhibit inflammation in the same range as WZ811 in the paw edema test at 40% reduction in inflammation. These preliminary results are the promising foundation of a new class of pyridine-based CXCR4 antagonists.