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  1. Article ; Online: Silencing of circRNA circ_0001666 Represses EMT in Pancreatic Cancer Through Upregulating miR-1251 and Downregulating SOX4

    Rundong Zhang / Wanli Zhu / Chenchao Ma / Kaixing Ai

    Frontiers in Molecular Biosciences, Vol

    2021  Volume 8

    Abstract: BackgroundPancreatic cancer (PC) is an aggressive malignancy and has a poor prognosis. Although emerging research has revealed that circular RNAs (circRNAs) are crucial modulators that control tumor development and metastasis, their functional ... ...

    Abstract BackgroundPancreatic cancer (PC) is an aggressive malignancy and has a poor prognosis. Although emerging research has revealed that circular RNAs (circRNAs) are crucial modulators that control tumor development and metastasis, their functional involvement in PC has not been well characterized. Here, we examined whether and how circRNA circ_0001666 governs epithelial-mesenchymal transition (EMT) in PC.MethodsWe investigated the effects of circ_0001666 on EMT and PC cell invasion by gain- and loss-of-function assays. We also explored the mechanisms underlying the functions of circ_0001666 in PC cells.ResultsWe found that circ_0001666 is highly expressed in PC tissues and PC cell lines. Patients with high circ_0001666 expression had shorter survival times. In vitro and in vivo experiments have demonstrated that upregulation of circ_0001666 facilitates PC cell proliferation, EMT and invasiveness, whereas knockdown of circ_0001666 exhibits opposite functions. Moreover, circ_0001666 is able to bind to miR-1251, thus increasing the expression of SOX4, which is a direct downstream effector of miR-1251. The oncogenic effects of circ_0001666 on EMT and PC cell invasion were rescued by miR-1251 overexpression.ConclusionsThese results suggested that circ_0001666 acts as an oncogenic circRNA to promote EMT and invasion of PC cells through sponging miR-1251, and indicated that circ_0001666 could be explored as a potential therapeutic target for PC.
    Keywords circ_0001666 ; circular RNA ; circRNA ; pancreatic cancer ; microRNA-1251 ; EMT ; Biology (General) ; QH301-705.5
    Subject code 500
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Effectiveness and safety of nintedanib in prevention of pulmonary fibrosis induced by bleomycin in malignant ovarian germ cell tumour

    Jie Yang / Tianyu Zhang / Xinyue Zhang / Jiaxin Yang / Sijian Li / Min Yin / Rundong Zhang

    BMJ Open, Vol 13, Iss

    study protocol for a randomised, double-blind, placebo-controlled trial

    2023  Volume 12

    Abstract: Introduction Bleomycin is a crucial and irreplaceable chemotherapy regimen for malignant ovarian germ cell tumours (MOGCTs) but its toxicities especially pulmonary fibrosis have limited the dose of treatment efficacy and decreased the patients’ quality ... ...

    Abstract Introduction Bleomycin is a crucial and irreplaceable chemotherapy regimen for malignant ovarian germ cell tumours (MOGCTs) but its toxicities especially pulmonary fibrosis have limited the dose of treatment efficacy and decreased the patients’ quality of life (QoL). Nintedanib has been approved for treating progressive fibrosing interstitial lung diseases and has shown potential anti-tumour effects. This study aims to evaluate the effectiveness and safety of nintedanib in the prevention of pulmonary fibrosis induced by bleomycin in MOGCTs patients.Methods and analysis This is a multicentre, randomised, double-blinded, placebo-controlled clinical trial. We will enrol a total of 128 patients who will be randomly assigned to the nintedanib group and placebo group in a 1:1 ratio. Standard bleomycin, etoposide and cisplatin chemotherapy will be given to each MOGCT patient. In addition, patients assigned to nintedanib and the control group will be given oral nintedanib 150 mg two times per day and placebo one tablet two times per day until 1 month after the last cycle of bleomycin therapy, respectively. The primary outcome is the decline of forced vital capacity (FVC). The secondary outcomes are the decline of other pulmonary function indices (forced expiratory volume in 1 s; FVC pred%, carbon monoxide diffusion capacity) and the patients’ QoL, oncological and fertility outcomes. We will use electronic case report forms to record all the participants’ data and SPSS V.27.0/STATA V.16.0/Graphpad Prism V.8.0 to conduct statistical analysis.Ethics and dissemination The Ethics Committee of Peking Union Medical College Hospital has approved the study (I-23PJ400). Written informed consent will be obtained from all participants/guardians. Study results will be submitted to peer-reviewed medical journals for publication and presented at academic conferences.Trial registration number ChiCTR2300070492.
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Efficient Wheat Lodging Detection Using UAV Remote Sensing Images and an Innovative Multi-Branch Classification Framework

    Kai Zhang / Rundong Zhang / Ziqian Yang / Jie Deng / Ahsan Abdullah / Congying Zhou / Xuan Lv / Rui Wang / Zhanhong Ma

    Remote Sensing, Vol 15, Iss 4572, p

    2023  Volume 4572

    Abstract: Wheat lodging has a significant impact on yields and quality, necessitating the accurate acquisition of lodging information for effective disaster assessment and damage evaluation. This study presents a novel approach for wheat lodging detection in large ...

    Abstract Wheat lodging has a significant impact on yields and quality, necessitating the accurate acquisition of lodging information for effective disaster assessment and damage evaluation. This study presents a novel approach for wheat lodging detection in large and heterogeneous fields using UAV remote sensing images. A comprehensive dataset spanning an area of 2.3117 km 2 was meticulously collected and labeled, constituting a valuable resource for this study. Through a comprehensive comparison of algorithmic models, remote sensing data types, and model frameworks, this study demonstrates that the Deeplabv3+ model outperforms various other models, including U-net, Bisenetv2, FastSCN, RTFormer, Bisenetv2, and HRNet, achieving a noteworthy F1 score of 90.22% for detecting wheat lodging. Intriguingly, by leveraging RGB image data alone, the current model achieves high-accuracy rates in wheat lodging detection compared to models trained with multispectral datasets at the same resolution. Moreover, we introduce an innovative multi-branch binary classification framework that surpasses the traditional single-branch multi-classification framework. The proposed framework yielded an outstanding F1 score of 90.30% for detecting wheat lodging and an accuracy of 86.94% for area extraction of wheat lodging, surpassing the single-branch multi-classification framework by an improvement of 7.22%. Significantly, the present comprehensive experimental results showcase the capacity of UAVs and deep learning to detect wheat lodging in expansive areas, demonstrating high efficiency and cost-effectiveness under heterogeneous field conditions. This study offers valuable insights for leveraging UAV remote sensing technology to identify post-disaster damage areas and assess the extent of the damage.
    Keywords wheat lodging detection ; UAV ; deep learning ; multispectral imagery ; RGB imagery ; Deeplabv3+ ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Fabrication of Size-Controllable and Arrangement-Orderly HepG2 Spheroids for Drug Screening via Decellularized Liver Matrix-Derived Micropattern Array Chips

    Xinglong Zhu / Qiong Wu / Yuting He / Mengyu Gao / Yi Li / Wanliu Peng / Shengfu Li / Yong Liu / Rundong Zhang / Ji Bao

    ACS Omega, Vol 7, Iss 2, Pp 2364-

    2022  Volume 2376

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Study on the Action Mechanism of the Yifei Jianpi Tongfu Formula in Treatment of Colorectal Cancer Lung Metastasis Based on Network Analysis, Molecular Docking, and Experimental Validation

    Wanli Zhu / Rundong Zhang / Chenchao Ma / Yangyang Hu / Xuan Shi / Xiyu Wang / Xing Wu / Kaixing Ai

    Evidence-Based Complementary and Alternative Medicine, Vol

    2022  Volume 2022

    Abstract: Objective. The lung is the second most common site of colorectal cancer (CRC) metastasis. This study aims to investigate the therapeutic effects and potential action mechanisms of Yifei Jianpi Tongfu formula (YJTF) in CRC lung metastasis in a ... ...

    Abstract Objective. The lung is the second most common site of colorectal cancer (CRC) metastasis. This study aims to investigate the therapeutic effects and potential action mechanisms of Yifei Jianpi Tongfu formula (YJTF) in CRC lung metastasis in a comprehensive and systematic way by network analysis, molecular docking, and experimental verification. Methods. The main ingredients in YJTF were screened from the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP) and Traditional Chinese Medicine Integrated Database (TCMID), and the disease-related targets from the Online Mendelian Inheritance in Man (OMIM) and GeneCards and the compound-related targets from SwissTargetPrediction were collected. Then, Metascape was used for pathway annotation and enrichment analysis, and meanwhile, a protein-protein interaction (PPI) network was constructed. Molecular docking was carried out to investigate interactions between the active compounds and the potential targets. The in vivo effect of YJTF on CRC lung metastasis was observed in a tail vein injection mouse model. Results. A total of 243 active compounds and 81 disease-related targets of YJTF were selected for analysis. The results of multiple network analysis showed that the core targets of YJTF were enriched onto various cancer-related pathways, especially focal adhesion and adherens junction. The results of molecular docking demonstrated that all core compounds (quercetin, kaempferol, luteolin, apigenin, and isorhamnetin) were capable of binding with AKT1, EGFR, SRC, ESR1, and PTGS2. Experimental validation in vivo demonstrated that YJTF combined with oxaliplatin could significantly reduce the number of lung metastases and improve the quality of life in mice. Further research suggested that YJTF inhibited CRC lung metastasis probably by modulating epithelial-to-mesenchymal transition (EMT). Conclusions. According to the analysis, YJTF can be considered as an effective adjuvant therapy for CRC lung metastasis.
    Keywords Other systems of medicine ; RZ201-999
    Subject code 540
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Synthesis, characterization and targeting chemotherapy for ovarian cancer of trastuzumab-SN-38 conjugates

    Yao, Yuqin / Lin Yu / Xiaolan Su / Yuxi Wang / Wenting Li / Yangpin Wu / Xiangzheng Cheng / Hang Zhang / Xian Wei / Hao Chen / Rundong Zhang / Lantu Gou / Xiaoxin Chen / Yongmei Xie / Bo Zhang / Yonghui Zhang / Jinliang Yang / Yuquan Wei

    Journal of Controlled Release. 2015 Dec. 28, v. 220

    2015  

    Abstract: Antibody-drug conjugates (ADCs), combining monoclonal antibody with high cytotoxicity chemotherapeutic drug (warhead), have been successfully applied for clinical cancer therapy. Linker technology to select and design linker connecting warhead with ... ...

    Abstract Antibody-drug conjugates (ADCs), combining monoclonal antibody with high cytotoxicity chemotherapeutic drug (warhead), have been successfully applied for clinical cancer therapy. Linker technology to select and design linker connecting warhead with antibody, is critical to the success of therapeutic ADCs. In this study, three kinds of linkers were designed to connect SN-38, the bioactive metabolite of the anticancer drug irinotecan (CPT-11), which is 100–1000 times more potent than CPT-11, with the anti-HER2 antibody trastuzumab to prepare three different ADC conjugates (T-SN38 A, B and C). Meanwhile, we compared the anti-ovarian cancer effect of these three T-SN38 conjugates with trastuzumab in vitro and in vivo. Our in vitro results showed that T-SN38 A, B and C (drug-to-antibody ratio, DAR=3.7, 3.2, 3.4) were 2 to 3 times as cytotoxic as SN-38, and the IC50 for these three conjugates on SKOV-3 cell line at 72h were 5.2±0.3, 4.4±0.7, and 5.1±0.4nM respectively. In our in vivo studies, T-SN38 conjugates had well targeting ability for tumor tissue and all three of them had much higher anti-ovarian cancer potency than trastuzumab. Among of them, T-SN38 B, which coupled SN-38 with trastuzumab by a carbonate bond, has the best anti-ovarian cancer potency. In conclusion, the novel HER2-targeting ADCs T-SN38 have great potential for HER2-positive ovarian cancer. Moreover, the SN-38-Linkers designed in this study can also be used to connect with other antibodies for the therapy of other cancers.
    Keywords antineoplastic agents ; cytotoxicity ; drug therapy ; in vivo studies ; inhibitory concentration 50 ; metabolites ; monoclonal antibodies ; ovarian neoplasms
    Language English
    Dates of publication 2015-1228
    Size p. 5-17.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 632533-6
    ISSN 1873-4995 ; 0168-3659
    ISSN (online) 1873-4995
    ISSN 0168-3659
    DOI 10.1016/j.jconrel.2015.09.058
    Database NAL-Catalogue (AGRICOLA)

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