A Novel Molecular Grading Model: Combination of Ki67 and VEGF in Predicting Tumor Recurrence and Progression in Non-invasive Urothelial Bladder Cancer

Chen, Jun-Xing,Deng, Nan,Chen, Xu,Chen, Ling-Wu,Qiu, Shao-Peng,Li, Xiao-Fei,Li, Jia-Ping Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5

Purpose: To assess efficacy of Ki67 combined with VEGF as a molecular grading model to predict outcomes with non-muscle invasive bladder cancer (NMIBC). Materials: 72 NMIBC patients who underwent transurethral resection (TUR) followed by routine intravesical instillations were retrospectively analyzed in this study. Univariate and multivariate analyses were performed to confirm the prognostic values of the Ki67 labeling index (LI) and VEGF scoring for tumor recurrence and progression. Results: The novel molecular grading model for NMIBC contained three molecular grades including mG1 (Ki67 $LI{\leq}25%$, VEGF $scoring{\leq}8$), mG2 (Ki67 LI>25%, VEGF $scoring{\leq}8$; or Ki67 $LI{\leq}25%$, VEGF scoring > 8), and mG3 (Ki67 LI > 25%, VEGF scoring > 8), which can indicate favorable, intermediate and poor prognosis, respectively. Conclusions: The described novel molecular grading model utilizing Ki67 LI and VEGF scoring is helpful to effectively and accurately predict outcomes and optimize personal therapy.

Cell surface vimentin-targeted monoclonal antibody 86C increases sensitivity to temozolomide in glioma stem cells

Noh, Hyangsoon,Zhao, Qingnan,Yan, Jun,Kong, Ling-Yuan,Gabrusiewicz, Konrad,Hong, Sungguan,Xia, Xueqing,Heimberger, Amy B.,Li, Shulin Elsevier 2018 Cancer letters Vol.433 No.-

<P><B>Abstract</B></P> <P>Glioblastoma multiforme (GBM) is the most prevalent and aggressive brain tumor. The current standard therapy, which includes radiation and chemotherapy, is frequently ineffective partially because of drug resistance and poor penetration of the blood-brain barrier. Reducing resistance and increasing sensitivity to chemotherapy may improve outcomes. Glioma stem cells (GSCs) are a source of relapse and chemoresistance in GBM; sensitization of GSCs to temozoliomide (TMZ), the primary chemotherapeutic agent used to treat GBM, is therefore integral for therapeutic efficacy. We previously discovered a unique tumor-specific target, cell surface vimentin (CSV), on patient-derived GSCs. In this study, we found that the anti-CSV monoclonal antibody 86C efficiently increased GSC sensitivity to TMZ. The combination TMZ+86C induced significantly greater antitumor effects than TMZ alone in eight of 12 GSC lines. TMZ+86C–sensitive GSCs had higher CSV expression overall and faster CSV resurfacing among CSV<SUP>−</SUP> GSCs compared with TMZ+86C–resistant GSCs. Finally, TMZ+86C increased apoptosis of tumor cells and prolonged survival compared with either drug alone in GBM mouse models. The combination of TMZ+86C represents a promising strategy to reverse GSC chemoresistance.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Anti-CSV monoclonal antibody 86C sensitize GSCs to TMZ treatment. </LI> <LI> GSCs with higher CSV expression are more sensitive to TMZ+86C. </LI> <LI> GSCs with higher CSV resurfacing rate among CSV<SUP>−</SUP> cells are more sensitive to TMZ+86C. </LI> <LI> TMZ+86C increased apoptosis and prolonged survival in GBM models. </LI> <LI> Tumor-specific CSV antibody 86C can efficiently target human GSCs to increase their sensitivity to TMZ. </LI> </UL> </P>

Silencing of long noncoding RNA HOXA11-AS inhibits the Wnt signaling pathway via the upregulation of HOXA11 and thereby inhibits the proliferation, invasion, and self-renewal of hepatocellular carcinoma stem cells

Jun-Cheng Guo,Yi-Jun Yang,Jin-Fang Zheng,Jian-Quan Zhang,Min Guo,Xiang Yang,Xiang-Ling Jiang,Li Xiang,You Li,Huang Ping,Liu Zhuo 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths, but its molecular mechanisms are not yet well characterized. Long noncoding RNAs (lncRNAs) play crucial roles in tumorigenesis, including that of HCC. However, the role of homeobox A11 antisense (HOXA11-AS) in determining HCC stem cell characteristics remains to be explained; hence, this study aimed to investigate the effects of HOXA11-AS on HCC stem cell characteristics. Initially, the expression patterns of HOXA11-AS and HOXA11 in HCC tissues, cells, and stem cells were determined. HCC stem cells, successfully sorted from Hep3B and Huh7 cells, were transfected with short hairpin or overexpression plasmids for HOXA11-AS or HOXA11 overexpression and depletion, with an aim to study the influences of these mediators on the self-renewal, proliferation, migration, and tumorigenicity of HCC stem cells in vivo. Additionally, the potential relationship and the regulatory mechanisms that link HOXA11-AS, HOXA11, and the Wnt signaling pathway were explored through treatment with Dickkopf-1 (a Wnt signaling pathway inhibitor). HCC stem cells showed high expression of HOXA11-AS and low expression of HOXA11. Both HOXA11-AS silencing and HOXA11 overexpression suppressed the self-renewal, proliferation, migration, and tumorigenicity of HCC stem cells in vivo, as evidenced by the decreased expression of cancer stem cell surface markers (CD133 and CD44) and stemness-related transcription factors (Nanog, Sox2, and Oct4). Moreover, silencing HOXA11-AS inactivated the Wnt signaling pathway by decreasing the methylation level of the HOXA11 promoter, thereby inhibiting HCC stem cell characteristics. Collectively, this study suggested that HOXA11-AS silencing exerts an antitumor effect, suppressing HCC development via Wnt signaling pathway inactivation by decreasing the methylation level of the HOXA11 promoter.

Anti-inflammatory Activities of Lupane-triterpenoids In Vitro and Their Phytochemical Fingerprinting from Leaves of Acanthopanax gracilistylus

Xiao Jun Li,Ling Dai,Zhi Li,Xiao Dan Zhang,Xiang Qian Liu,Qin Peng Zou,Xia Xie 한국생약학회 2015 Natural Product Sciences Vol.21 No.2

The activities on the inhibition of NO on LPS-induced RAW 264.7 macrophages were investigated in this work. A simple and sensitive method has been developed and validated for fingerprinting analysis of leaves of Acanthopanax gracilistylus W.W. Smith (AGS). The cytotoxicity and inhibition of NO on LPS-induced RAW 264.7 cells of the extract and triterpenoids were determined. Optimal conditions of HPLC analysis were established as follows. The separation was performed with an ODS-C18 column at 30 oC, the detected wavelength was 210 nm, the flow rate was 1 mL/min, and the mobile phase consisted of acetonitrile (0.05% phosphoric acid) -0.05% phosphoric acid solution with gradient elution. Our results showed that impressic acid and acankoreaogenin was more effective on the inhibition of NO than the methanol extract and other compounds. There were seventeen peaks coexisted with similarities above 0.95 and nine lupane-triterpenoids including acankoreaogenin and impressic acid detected and identified. The result of anti-inflammatory activities provides a potential explanation for the use of AGS leaves as a herbal medicine in the treatment of inflammatory diseases. Our results also show that acankoreanogenin and impressic acid may be potentially useful in developing new anti-inflammatory agents. In addition, the fingerprint chromatography clearly illustrated and confirmed the material basis for the anti-inflammatory activities of this plant.

Hashing via Efficient Addictive Kernel for Logistics Image Classification

Xiao-jun Liu,Qiu-ling Li,Bin Zhang,Jun-yi Li 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.2

In this paper, fast image search with efficient additive kernels and kernel locality-sensitive hashing has been proposed. As to hold the kernel functions, recent work has probed methods to create locality-sensitive hashing , which guarantee our approach’s linear time, however existing methods still do not solve the problem of locality-sensitive hashing (LSH) and indirectly sacrifice the loss in accuracy of search results in order to allow fast queries. To improve the search accuracy, we show how to apply explicit feature maps into the homogeneous kernels, which help in feature transformation and combine it with kernel locality-sensitive hashing. We prove our method on several large datasets, and illustrate that it improve the accuracy relative to commonly used methods and make the task of object classification, content-based retrieval more fast and accurate.

HIV-negative plasmablastic lymphoma: report of 8 cases and a comprehensive review of 394 published cases

Ya-Jun Li,Ji-Wei Li,Kai-Lin Chen,Jin Li,Mei-Zuo Zhong,Xian-Ling Liu,Ping-Yong Yi,Hui Zhou 대한혈액학회 2020 Blood Research Vol.55 No.1

BackgroundHuman immunodeficiency virus (HIV)-negative plasmablastic lymphoma (PBL) is a rare entity of diffuse large B-cell lymphoma (DLBCL). The clinicopathological features of and optimal treatment for HIV-negative PBL remain largely unknown.MethodsTo gain insight into this distinct lymphoma, we summarized the clinicopathologic charac-teristics of 8 unpublished HIV-negative PBLs and performed a comprehensive review of 394 published cases.ResultsOf the 8 unpublished PBLs, the median patient age was 53.0 years. Four patients pre-sented with stage IV disease. All 8 patients showed a plasma cell-like immunophenotype. Of the six patients who received anthracycline-based chemotherapy, including two who received bortezomib, three patients achieved a continuous complete response, two pa-tients died due to disease progression, and one patient was lost to follow-up. The other two patients achieved continuous complete response after receiving chemotherapy com-bined with radiotherapy and surgery. Of the 402 patients, the majority were male, with a mean age of 58.0 years. EBV infection was detected in 55.7% of the patients. The median survival times of the patients who received CHOP or CHOP-like regimens and intensive regimens were not reached and 23.0 months, respectively, and the intensive regimen did not improve the survival outcome (P=0.981). Multivariate analysis showed that EBER remained the only independent factor affecting overall survival (OS).ConclusionHIV-negative PBL is a distinct entity with a predilection for elderly and immunosup-pressed individuals. Intensive chemotherapy had no apparent survival benefits over the CHOP regimen in terms of OS; the prognosis of this disease is poor with current chemo-therapy methods, and treatment remains a challenge.

Molecule-based electrorheological material assembled using β-cyclodextrin as substrate

Yan-Li Shang,Yun-Ling Jia,Yun Ma,Jun-Ran Li,Shao-Hua Zhang,Ming-Xiu Li 한국유변학회 2010 Korea-Australia rheology journal Vol.22 No.1

Molecule-based electrorheological (ER) materials as a novel type of ER materials, the inclusion compound [H2(β-CD-A)-PTA] between p-toluenesulfonic acid (PTA, guest) and H2(β-CD-A) (host) that is dicarboxylic acid of β-cyclodextrin (β-CD) , and the rare earth (RE) complexes [(β-CD-A)-PTA]3RE2 (RE=La, Gd, Y)of H2(β-CD-A)-PTA, were synthesized. The ER performance and dielectric property of the materials were studied. Our results show that the molecule-based ER materials assembled using β-cyclodextrin as a substrate,especially the inclusion compound and its rare earth (RE) complexes exhibit clear ER effect. The inclusion PTA can markedly enhance the ER performance of H2(β-CD-A) material. The ER activity of the yttrium complex is the highest among these materials. The characteristic of the molecule in molecule-based ER materials is an important factor in influencing ER property.

Learning with Information Entropy Method for Transportation Image Retrieval

Liu Xiao-jun,Li Qing-ling,Li Yong-jian,Li Jun-yi 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7

As a new learning framework, Multi-Instance learning is labeled recently and has successfully found application in vision classification. A novel Multi-instance bag generating method is presented in this paper on basis of Gaussian Mixed Model. The generated GMM model composes not only color but also the locally stable unchangeable components. It is frequently named as MI bag by researchers. Besides, another method called Agglomerative Information Bottleneck clustering is applied to replace the MIL problem with the help of single-instance learning ones. Meanwhile, single-instance classifiers are employed for classification. Finally, ensemble learning is adopted to strengthen classifiers’ generalization ability of RBM (Restricted Boltzmann Machine) as the base classifier. On the basis of large-scale datasets, this method is tested and the corresponding result shows that our method provides high accuracy and good performance for image annotation, feature matching and example-based object-classification.

Mixtures of Tea and Citrus maxima (pomelo) Alleviate Lipid Deposition in HepG2 Cells Through the AMPK/ACC Signaling Pathway

Ran An,Shuai Wen,Dong-Li Li,Qiu-Hua Li,Xing-Fei Lai,Wen-Ji Zhang,Ruo-Hong Chen,Jun-Xi Cao,Zhi-Gang Li,Qiu-Sheng Huang,Ling-Li Sun,Shi-Li Sun 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.9

Tea and citrus maxima are natural, medicinal homologous plants, typically used for making beverages, which have anticancer, antiobesity, and antioxidation properties. Green tea, yellow tea, and black tea were combined with citrus maxima to obtain green tea and Citrus maxima (GTCM), yellow tea and Citrus maxima (YTCM), and black tea and Citrus maxima (BTCM). The biochemical components of these mixtures were analyzed, and their possible effects and mechanisms on relieving liver lipid deposition were explored. The tea polyphenols, free amino acids, phenolamine ratio, and caffeine were comparable in YTCM and GTCM, being significantly higher than those in BTCM. In addition, the content of esterified catechins, nonesterified catechins, and total catechins in YTCM was significantly higher than those in GTCM and BTCM. All three mixtures of Citrus maxima tea significantly reduced lipid deposition in HepG2 cells, with GTCM and YTCM being slightly more effective than BTCM. Regarding the possible mechanism, Western blot analysis revealed that the three Citrus maxima tea mixtures could activate the AMPK/ACC signaling pathway, upregulate the expression of p-AMPK, p-ACC, and CPT-1 proteins, and downregulate the expression of SREBP1c and fatty acid synthase proteins to inhibit fat synthesis, thereby relieving lipid deposition in liver cells. In conclusion, as a novel and healthy beverage, Citrus maxima tea has the potential to alleviate liver lipid deposition, and further could be responsible for obesity treatment.

An eigenspace projection clustering method for structural damage detection

Jun-hua Zhu,Ling Yu,Li-li Yu 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.44 No.2

An eigenspace projection clustering method is proposed for structural damage detection by combining projection algorithm and fuzzy clustering technique. The integrated procedure includes data selection, data normalization, projection, damage feature extraction, and clustering algorithm to structural damage assessment. The frequency response functions (FRFs) of the healthy and the damaged structure are used as initial data, median values of the projections are considered as damage features, and the fuzzy c-means (FCM) algorithm are used to categorize these features. The performance of the proposed method has been validated using a three-story frame structure built and tested by Los Alamos National Laboratory, USA. Two projection algorithms, namely principal component analysis (PCA) and kernel principal component analysis (KPCA), are compared for better extraction of damage features, further six kinds of distances adopted in FCM process are studied and discussed. The illustrated results reveal that the distance selection depends on the distribution of features. For the optimal choice of projections, it is recommended that the Cosine distance is used for the PCA while the Seuclidean distance and the Cityblock distance suitably used for the KPCA. The PCA method is recommended when a large amount of data need to be processed due to its higher correct decisions and less computational costs.