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Invasion and metastasis are the major features of malignant tumors that are responsible for 90% of cancer-related deaths. Recently, microRNAs have been discovered to have a role in suppressing tumor metastasis. This study's aim was to clarify the roles of miR-145 in gastric carcinomas and its underlying molecular mechanism in regulating tumor metastasis. Here, we demonstrate a stepwise downregulation of miR-145 level in nontumorous gastric mucosa, primary gastric cancers and their secondary metastases. In vitro analysis of miR-145's ectopic expression and loss-of-function suggests that it suppresses gastric cancer cell migration and invasion. In vivo spontaneous metastasis and experimental metastasis assay further confirm its function in suppressing the invasion-metastasis cascade, including impairing local invasion and inhibiting hematogenous metastasis in gastric cancers. Furthermore, we identified a novel mechanism of miR-145 to suppress metastasis. N-cadherin (CDH2) was proved to be a direct target of miR-145, using luciferase assay and western blot. Re-expressing N-cadherin in miR-145-transfected cells reverses their migration and invasion defects. Although not a direct target of miR-145, matrix metallopeptidase 9 (MMP9), but not MMP2, was also significantly decreased in miR-145-expressing cells. We suggest that miR-145 suppresses tumor metastasis by inhibiting N-cadherin protein translation, and then indirectly downregulates its downstream effector MMP9.

Tumor metastasis is the main reason of cancer-related death for gastric cancer (GC) patients and gene expression microarray data indicate that kinesin family member 26B (KIF26B) is one of the most upregulated genes in metastatic GC samples. Specifically, KIF26B expression was upregulated in a stepwise manner from non-tumorous gastric mucosa, primary GC tissues without metastasis, via primary GC tissues with metastasis, to secondary lymph node metastatic (LNM) foci. Increased expression of KIF26B was correlated with tumor size, positive LNM or distant metastases and poor prognosis. KIF26B, negatively regulated by miR-372, promoted GC cell proliferation and metastasis in vitro and in vivo . Mechanistic investigations confirmed that the main target of KIF26B was the vascular endothelial growth factor (VEGF) signaling pathway, particularly by inhibition or overexpression of VEGFA, PXN, FAK, PIK3CA, BCL2 and CREB1. Thus, KIF26B, a novel oncogene regulated by miR-372, promotes proliferation and metastasis through the VEGF pathway in GC.

Invasion and metastasis are the major features of malignant tumors that are responsible for 90% of cancer-related deaths. Recently, microRNAs have been discovered to have a role in suppressing tumor metastasis. This study's aim was to clarify the roles of miR-145 in gastric carcinomas and its underlying molecular mechanism in regulating tumor metastasis. Here, we demonstrate a stepwise downregulation of miR-145 level in nontumorous gastric mucosa, primary gastric cancers and their secondary metastases. In vitro analysis of miR-145's ectopic expression and loss-of-function suggests that it suppresses gastric cancer cell migration and invasion. In vivo spontaneous metastasis and experimental metastasis assay further confirm its function in suppressing the invasion–metastasis cascade, including impairing local invasion and inhibiting hematogenous metastasis in gastric cancers. Furthermore, we identified a novel mechanism of miR-145 to suppress metastasis. N-cadherin (CDH2) was proved to be a direct target of miR-145, using luciferase assay and western blot. Re-expressing N-cadherin in miR-145-transfected cells reverses their migration and invasion defects. Although not a direct target of miR-145, matrix metallopeptidase 9 (MMP9), but not MMP2, was also significantly decreased in miR-145-expressing cells. We suggest that miR-145 suppresses tumor metastasis by inhibiting N-cadherin protein translation, and then indirectly downregulates its downstream effector MMP9.

NUPR1 is a small molecule protein that plays an important role in tumor progression and drug resistance. Our previous study found that NUPR1 promotes the progression of bladder cancer, but the specific mechanism is still unclear. MYH11 encodes the smooth muscle myosin heavy chain and belongs to the conventional myosin family. MYH11 has been found to be associated with a variety of malignant tumors. We identified MYH11 as an upstream regulator of NUPR1 using a bioinformatics approach and tested this hypothesis by knocking down MYH11 and ChIP-qPCR. Subsequently, we verified the association of MYH11 and NUPR1 with the PI3 K/AKT pathway by WB. In addition, gene enrichment results showed that the effect of NUPR1 on bladder cancer was related to ferroptosis and M2 macrophage polarization. We examined ferroptosis metabolites in bladder cancer cells overexpressing NUPR1 and expression of the M2 macrophage marker CD206 in NUPR1 overexpression or MYH11 knockdown bladder cancer cells. Bioinformatics results showed that MYH11 was positively correlated with NUPR1, and there may be a mutual binding site at the promoter of NUPR1. Knockdown of MYH11 decreased NUPR1 expression, and ChIP-qPCR showed that MYH11 bound to the promoter of NUPR1. Subsequently, WB results showed that MYH11 knockdown inhibited the PI3 K/AKT pathway, whereas NUPR1 overexpression activated this pathway. After adding ferroptosis activator, the viability of bladder cancer cells decreased, and the content of Fe and MDA increased. However, ferroptosis was significantly inhibited after overexpression of NUPR1. Knockdown of MYH11 inhibited M2 macrophage polarization, while overexpression of NUPR1 promoted this process. This study suggests that MYH11 activates the PI3 K/AKT pathway by up-regulating the expression of NUPR1, and promotes bladder cancer progression by inhibiting ferroptosis and promoting M2 polarization of macrophages.

Glioblastoma is the most frequent form of malignant brain tumor. Cytoplasmic polyadenylation element binding protein 4 (CPEB4) is overexpressed and involved in the tumorigenesis and metastasis of glioblastoma. miR-130a-3p has been revealed to be aberrantly expressed in tumors and has aroused wide attention. In present study, we would like to investigate the effect and potential mechanism of miR-130a-3p on the proliferation and migration in glioblastoma. The relative expression levels of miR-130a-3p and CPEB4 in glioblastoma cell lines were detected by real-time quantitative polymerase chain reaction. Cell viability and migration were detected by methylthiazolyl tetrazolium assay and transwell assay, and cell cycle analysis was detected by flow cytometry. The expression of CPEB4 protein and epithelial-mesenchymal transition associated markers were detected by western blot. Bioinformatics and luciferase activity analysis were used to verify the targeting relationship between miR-130a-3p and CPEB4. We observed that the expression of CPEB4 was upregulated while that of miR-130a-3p was downregulated in glioblastoma cell lines. CPEB4 was validated as a target of miR-130a-3p by luciferase activity assay. Increased levels of miR-130a-3p inhibited the proliferation and migration of the glioblastoma cells and the overexpression of miR-130a-3p inhibited epithelial-mesenchymal transition. However, CPEB4 overexpression resisted the inhibitory effects of miR-130a-3p. Our study elucidates CPEB4 is upregulated because of the downregulated miR-130a-3p in glioblastoma, which enhances the glioblastoma growth and migration, suggesting a potential therapeutic target for the disease.

To investigate the effect of Jiedu Xiaozheng Yin (JXY) on the polarization of macrophages in colitis-associated colon cancer (CAC). An orthotopic model of CAC was established to monitor changes in the pathological state of mice. Colon length, number of colon tumors were recorded, and indices for liver, spleen, and thymus were calculated. Hematoxylin and eosin (H&E) staining was employed to observe intestinal mucosal injury and tumor formation. Immunohistochemistry (IHC) staining was utilized to investigate the effect of JXY on M1 and M2 polarization of macrophages in the colonic mucosa of CAC mice. For in vitro experiments, RT-qPCR (Reverse Transcription-quantitative PCR) and flow cytometry were used to observe the effect of JXY on various M1-related molecules such as IL-1β, TNF-α, iNOS, CD80, CD86, and its phagocytic function as well as M2-related molecules including Arg-1, CD206, and IL-10. Subsequently, after antagonizing the TLR4 pathway with antagonists (TAK242, PDTC, KG501, SR11302, LY294002), the expression of IL-6, TNF-α, iNOS, and IL-1β mRNA were detected by RT-qPCR. In vivo experiments, the results showed that JXY improved the pathological condition of mice in general. And JXY treatment decreased the shortening of colon length and number of tumors as compared to non-treated CAC mice. Additionally, JXY treatment improved the lesions in the colonic tissue and induced a polarization of intestinal mucosal macrophages towards the M1 phenotype, while inhibiting polarization towards the M2 phenotype. In vitro experiments further confirmed that JXY treatment promoted the activation of macrophages towards the M1 phenotype, leading to increased expression of IL-1β, TNF-α, iNOS, CD80, CD86, as well as enhanced phagocytic function. JXY treatment concomitantly inhibited the expression of M2-phenotype related molecules Arginase-1 (Arg-1), CD206, and IL-10. Furthermore, JXY inhibited M1-related molecules such as IL-6, TNF-α, iNOS, and IL-1β after antagonizing the TLR4 pathway. Obviously, JXY could exhibit inhibitory effects on the development of colon tumors in mice with CAC by promoting M1 polarization through TLR4-mediated signaling and impeding M2 polarization of macrophages.

A new type of transformation induced plasticity （TRIP） steel with not only high strength and high ductility but also superior welding and galvanizing properties was designed and developed recently. Low carbon and low silicon content were preliminarily selected with the aim of meeting the requirements of superior quality in both welding and galvanizing. Phosphorus was chosen as one of the alloying elements, because it could reduce carbon activity in cementite and increase the stability of austenite. In addition, the possibility of phosphorus segregating at grain boundary was also discussed by thermodynamics as well as kinetics. Phase diagram was estimated at high temperature and the composition of the steel was then selected in the hyperperitectic range to avoid problems, which might occur in sheet steel continuous casting. Phase diagram in the inter.critical temperature was estimated for the steel to obtain the starting temperature of fast cooling. For understanding the minimum rate of fast cooling, pearlite growth kinetics was calculated with self-developed diffusion coefficients of elements in grain boundary. Overaging temperature was determined through the calculation of To temperature by both equilibrium and para-equilibrium assumptions, which was different from the current determination, which is only based on an equilibrium estimation.

Searching for the ground state of a given system is one of the most fundamental and classical questions in scientific research fields. However, when the system is complex and large, it often becomes an intractable problem; there is essentially no possibility of finding a global energy minimum state with reasonable computational resources. Recently, a novel method based on deep learning techniques was devised as an innovative optimization method to estimate the ground state. We apply this method to one of the most complicated spin-ice systems, aperiodic Penrose P3 patterns. From the results, we discover new configurations of topologically induced emergent frustrated spins, different from those previously known. Additionally, a candidate of the ground state for a still unexplored type of Penrose P3 spin-ice system is first proposed through this study. We anticipate that the capabilities of the deep learning techniques will not only improve our understanding on the physical properties of artificial spin-ice systems, but also bring about significant advances in a wide range of scientific research fields requiring computational approaches for optimization.