BackgroundWe aimed to investigate the function of miR-1307 in chemoresistance and to explore its chemoresistance mechanism in ovarian cancer.MethodsIC50 determination was used to test the chemoresistance profling in ovarian cancer cells. QRT-PCR or western blot was used to validate the expression level of miR-1307 and candidate gene or protein. Colony formation assay and FITC-labeled enhanced Annexin V immunofluorescence were used to compare cell proliferation and apoptosis ability, respectively. The potential target gene and its biological function of miRNA-1307 were also analyzed. Bioinformatics and Luciferase Reporter Gene Assay were conducted to validate the regulation of miRNA-1307 on the ING5 expression. Xenografts assay was used to demonstrate the inhibiting effect of miR-1307 ASO and Taxol therapy against ovarian cancer in vivo.ResultsMiR-1307 was over-expressed in chemoresistant ovarian cancer cell line A2780/Taxol, and over-expression or loss of miR-1307 promoted or inhabited chemoresistance. And we also found that the over-expression of miR-1307 promoted proliferation and inhibited apoptosis in ovarian cancer cells. Besides, we demonstrated that ING5 was a direct target of miR-1307 and miR-1307 down-regulated the ING5 expression in ovarian cancer cells. Additionally, we showed that ING5 inhibited cell proliferation, promoted cell apoptosis and inhabited chemoresistance reversely. Furthermore, the up-regulated ability of cell apoptosis and down-regulated ability of chemoresistance following the loss of miR-1307 was reversed by adding ING5 siRNA in vitro. Finally, we proved the inhibiting effect of miR-1307 ASO and Taxol therapy by increasing the ING5 expression against ovarian cancer through xenografts assay in vivo.ConclusionOur results suggested that miR-1307 could promote ovarian cancer chemoresistance by targeting the ING5 expression and miR-1307 might serve as a therapeutic target for ovarian cancer.

Knee osteoarthritis (OA) is a highly prevalent chronic degenerative joint disease that mainly affects the elderly population. The aim of this study was to investigate serum signature metabolites as potential biomarkers for early diagnosis of knee OA. Global serum metabolic profiles of 40 patients with knee OA and 20 healthy controls (HC) were analyzed by ultra-performance liquid chromatography coupled to mass spectrometry. An OA-specific metabolic profile was established that can clearly discriminate patients with OA from HCs. Fourteen metabolites that are involved in the metabolism of amino acids, purine, energy, glycolysis, fatty acids, and lipids were significantly altered in patients with OA compared to HCs. These metabolites could be potentially used as biomarkers for the diagnosis of knee OA.

Keratin 7 (KRT7) is a member of the keratin gene family. KRT7 is abnormally expressed in various types of cancer and promotes the malignant progression of tumors. However, the role of KRT7 in ovarian cancer remains unclear. The present study aimed to validate the role of KRT7 in ovarian cancer progression. KRT7 expression levels in patients with ovarian cancer were analyzed using data obtained from the Human Protein Atlas and The Cancer Genome Atlas databases. KRT7 mRNA and protein expression levels were upregulated in ovarian cancer tissue compared with normal tissue. KRT7 expression was associated with the grading, staging and poor prognosis of ovarian cancer. The differentially expressed genes affected by KRT7 were primarily enriched in the functions of cell migration, cell adhesion and cell growth. In vitro studies, including a CCK8 assay, were used to detect cell proliferation. In addition, wound healing and transwell assays were performed to analyze cell migration. The results demonstrated that KRT7 overexpression was associated with increased proliferation, migration and epithelial-mesenchymal transition (EMT) of ovarian cancer cells, and the migration and EMT of ovarian cancers cells were decreased following knockdown with KRT7 small interfering RNA. In vivo , knockdown of KRT7 inhibited tumor growth of ovarian cancer. Furthermore, KRT7 regulated EMT in ovarian cancer via the TGF-β/Smad2/3 pathway, and regulated cell-matrix adhesion through integrin-β1-focal adhesion kinase signaling. These results suggest that KRT7 may be a potential molecular marker for prognosis prediction in patients with ovarian cancer.

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Objective: To evaluate the association between genetic polymorphisms of CYP2E1 RsaI and GSTM1 and development of bladder cancer in a south-eastern Han Chinese population. Methods: We hypothesized that the CYP2E1-1019T>A and GSTM1 polymorphisms were associated with risk of bladder cancer. In a hospitalbased case-control study of 202 case patients with newly diagnosed bladder transitional cell carcinoma and 272 cancer-free controls frequencymatched by the age and sex, we genotyped these two polymorphisms using a polymerase chain reaction-restriction fragment length polymorphism method. Results: We found that the GSTM1 null genotype was associated with an increased risk of bladder cancer (adjusted odds ratio [OR] = 1.73, 95% confidence interval [CI] = 1.17-2.56) compared with those with the non-null genotype, but the CYP2E1-1019T>A polymorphisms did not show any association. In the stratification analysis of the GSTM1 polymorphism, we found that the increased risk was more pronounced among subgroups aged Յ60 years (OR = 2.02, 95% CI = 1.08-3.77), smokers (OR = 1.94, 95% CI = 1.11-3.38) and non-drinkers (OR = 3.86, 95% CI = 1.28-11.60). Conclusion: GSTM1 polymorphism (but not CYP2E1 RsaI polymorphism) appears to contribute to the etiology of bladder cancer in a southeastern Chinese population.

Lysine acetylation is a vital post-translational modification (PTM) of proteins, which plays an important role in cancer development. In healthy human liver tissues, multiple non-histone proteins were identified with acetylation modification, however, the role of acetylated proteins in hepatocellular carcinoma (HCC) development remains largely unknown. Here we performed a quantitative acetylome study of tumor and normal liver tissues from HCC patients. Overall, 598 lysine acetylation sites in 325 proteins were quantified, and almost 59% of their acetylation levels were significantly changed. The differentially acetylated proteins mainly consisted of non-histone proteins located in mitochondria and cytoplasm, which accounted for 42% and 24%, respectively. Bioinformatics analysis showed that differentially acetylated proteins were enriched in metabolism, oxidative stress, and signal transduction processes. In tumor tissues, 278 lysine sites in 189 proteins showed decreased acetylation levels, which occupied 98% of differentially acetylated proteins. Moreover, we collected twenty pairs of tumor and normal liver tissues from HCC male patients, and found that expression levels of SIRT1 (p = 0.002), SIRT2 (p = 0.01), and SIRT4 (p = 0.045) were significantly up-regulated in tumor tissues. Over-expression of possibly accounted for the widespread deacetylation of non-histone proteins identified in HCC tumor tissues, which could serve as promising predictors of HCC. Taken together, our work illustrates abundant differentially acetylated proteins in HCC tumor tissues, and offered insights into the role of lysine acetylation in HCC development. It provided potential biomarker and drug target candidates for clinical HCC diagnosis and treatment.

The detection and recognition of moving objects in image sequence images involve many aspects, such as pattern recognition, image processing, and computer vision. The main difficulties of target detection and recognition are complex background interference, local occlusion, real-time recognition, illumination changes, target size type changes, etc. However, it is very difficult to solve these problems in practical applications. This article introduces image pre-processing for the pre-processing of image sequences. Selectively we highlight the visually obvious features that are helpful for target detection in the image, weaken the image background and features that are not related to the target, and improve the quality of the image sequence. A multi-information integrated probability density estimation kernel integrating gray scale, spatial relationship and local standard deviation information is designed, and the multiinformation integrated kernel is used to extract the feature of the moving target. In terms of moving target recognition, Naive Bayes is used as a weak learner. In order to avoid the over-fitting of the classifier caused by high-noise moving image sequence features, the regularized Adaboost recognition model is introduced as a moving target recognition classifier. In order to completely separate the target and the background, we propose a moving target extraction method based on multi-information kernel density estimation, and input relevant target feature description vectors into the regularized Adaboost-based moving target recognition framework. Robust target recognition performance is obtained, and the reliability of target recognition under high noise data is improved.

Malignant peripheral nerve sheath tumors (MPNSTs) are unusual and aggressive malignant soft-tissue tumors that comprise 5–10% of all soft-tissue sarcomas. Approximately 50% of MPNST cases are associated with neurofibromatosis type-1 (NF-1). As a rare MPNST subset, the epithelioid variant of MPNST (eMPNST) is histologically characterized by the predominant presence of epithelioid tumor cells, and accounts for <5% of all MPNSTs. In addition, eMPNST is rarely associated with NF-1 when compared with conventional MPNST. Although extensive clinicopathological studies have been conducted on eMPNST, clinicians face difficulty when attempting to make an accurate diagnosis. Subsequently, the biological consequences, including recurrence, metastasis and mortality rate in patients with eMPNST remain unclear. The current study presents the case of a 71-year-old woman with eMPNST and a family history of NF-1 in whom tumors had recurred twice on the lower back. A literature search for eMPNSTs was conducted by browsing PubMed and MEDLINE for English-language articles, as well as references from review articles, and revealed 129 published cases. Only 5 cases of eMPNST were associated with NF-1. The studies were retrospectively reviewed and the clinicopathological data of the patients, including tumor site, treatment, follow-up, prognosis, and immunohistochemical positivity were collected.