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  • Open Access

    REVIEW

    Does young feces make the elderly live better? Application of fecal microbiota transplantation in healthy aging

    YUANYUAN LIAO1,2,3, XINSI LI2,3, QIAN LI2,3, YIZHONG WANG4, XIUJUN TAN1,2,3, TING GONG2,3,5,*

    BIOCELL, Vol.48, No.6, pp. 873-887, 2024, DOI:10.32604/biocell.2024.050324

    Abstract As we are facing an aging society, anti-aging strategies have been pursued to reduce the negative impacts of aging and increase the health span of human beings. Gut microbiota has become a key factor in the anti-aging process. Modulation of gut microbiota by fecal microbiota transplantation (FMT) to prevent frailty and unhealthy aging has been a hot topic of research. This narrative review summarizes the benefits of FMT for health span and lifespan, brains, eyes, productive systems, bones, and others. The mechanisms of FMT in improving healthy aging are discussed. The increased beneficial bacteria and More >

  • Open Access

    REVIEW

    Molecularly Targeted Drugs Plus Radiotherapy and Temozolomide Treatment for Newly Diagnosed Glioblastoma: A Meta-Analysis and Systematic Review

    Jiahao Su*, Meiqin Cai*, Wensheng Li*, Bo Hou, Haiyong He, Cong Ling,Tengchao Huang, Huijiao Liu, Ying Guo*

    Oncology Research, Vol.24, No.2, pp. 117-128, 2016, DOI:10.3727/096504016X14612603423511

    Abstract Glioblastoma (GBM) is the most common primary malignant brain tumor that nearly always results in a bad prognosis. Temozolomide plus radiotherapy (TEM+RAD) is the most common treatment for newly diagnosed GBM. With the development of molecularly targeted drugs, several clinical trials were reported; however, the efficacy of the treatment remains controversial. So we attempted to measure the dose of the molecularly targeted drug that could improve the prognosis of those patients. The appropriate electronic databases (PubMed, MEDLINE, EMBASE, and the Cochrane Library) were searched for relevant studies. A meta-analysis was performed after determining which studies… More >

  • Open Access

    ARTICLE

    Phase II Trial of Intensity-Modulated Radiotherapy Concurrent With Chemotherapy for Postoperative Node-Positive Esophageal Squamous Cell Carcinoma

    Hua Tao, Yiqin Zhou, Chengyun Yao, Dayong Gu, Wei Chen, Jincheng Lu

    Oncology Research, Vol.25, No.8, pp. 1357-1362, 2017, DOI:10.3727/096504017X14889842609577

    Abstract The aim of this study was to evaluate the efficacy and toxicity of intensity-modulated radiotherapy concurrent with weekly docetaxel in patients with node-positive esophageal squamous cell carcinoma after radical surgery. Between January 2011 and December 2013, a total of 46 eligible patients were enrolled. All patients received intensity-modulated radiotherapy concurrent with weekly docetaxel (20 mg/m2 ). Patients were treated 5 days per week at 2.0 Gy/day. The total dose of external radiotherapy given was 50 Gy in 25 fractions. The primary endpoints included treatment completion and safety. The secondary endpoint was to assess whether the approach… More >

  • Open Access

    ARTICLE

    Polymorphic Variations Associated With Doxorubicin-Induced Cardiotoxicity in Breast Cancer Patients

    Valentina K. Todorova*, Issam Makhoul, Ishwori Dhakal, Jeanne Wei§, Annjanette Stone, Weleetka Carter, Aaron Owen*, V. Suzanne Klimberg*

    Oncology Research, Vol.25, No.8, pp. 1223-1229, 2017, DOI:10.3727/096504017X14876245096439

    Abstract Doxorubicin (DOX) is a commonly used antineoplastic agent for the treatment of various malignancies, and its use is associated with unpredictable cardiotoxicity. Susceptibility to DOX cardiotoxicity is largely patient dependent, suggesting genetic predisposition. We have previously found that individual sensitivity to DOX cardiotoxicity was associated with differential expression of genes implicated in inflammatory response and immune trafficking, which was consistent with the increasing number of reports highlighting the important role of human leukocyte antigen (HLA) complex polymorphism in hypersensitivity to drug toxicity. This pilot study aimed to investigate DNA from patients treated with DOX-based chemotherapy… More >

  • Open Access

    ARTICLE

    Long Noncoding RNA CRNDE/PRC2 Participated in the Radiotherapy Resistance of Human Lung Adenocarcinoma Through Targeting p21 Expression

    Ming Zhang*, Change Gao, Yi Yang*, Gaofeng Li, Jian Dong§, Yiqin Ai*, Nan Chen, Wenhui Li*

    Oncology Research, Vol.26, No.8, pp. 1245-1255, 2018, DOI:10.3727/096504017X14944585873668

    Abstract Long noncoding RNAs (lncRNAs), a new class of functional regulators involved in human tumorigenesis, have been attracting the increasing attention of researchers. The lncRNA colorectal neoplasia differentially expressed (CRNDE) gene, transcribed from chromosome 16 on the strand opposite the adjacent IRX5 gene, was originally found to be increased in CRC and was reported to be abnormally expressed in many cancers. However, its potential role and the molecular mechanism underlying the radioresistant phenotype formation of lung adenocarcinoma (LAD) remain unclear. In our present study, we identified that CRNDE was significantly upregulated in LAD tissue and radioresistant… More >

  • Open Access

    ARTICLE

    Long-Term Use of Nimotuzumab in Combination With Intensity-Modulated Radiotherapy and Chemotherapy in the Treatment of Locoregionally Advanced Nasopharyngeal Carcinoma: Experience of a Single Institution

    Wang Fangzheng*†1, Jiang Chuner‡1, Ye Zhiming*†, Liu Tongxin*†, Yan Fengqin*†, Wang Lei*†, Li Bin*†, Hu Fujun*†, Chen Ming*†, Qin Weifeng*†, Fu Zhenfu*†

    Oncology Research, Vol.26, No.2, pp. 277-287, 2018, DOI:10.3727/096504017X15079846743590

    Abstract In this retrospective review of a single institution’s experience, the efficacy and safety of the long-term use of nimotuzumab in combination with intensity-modulated radiotherapy (IMRT) and chemotherapy in the treatment of locally advanced nasopharyngeal carcinoma (NPC) were studied. Between August 2008 and March 2014, 39 newly diagnosed patients with stages III–IV NPC were treated with IMRT, chemotherapy, and nimotuzumab. Twenty patients were diagnosed with stage III (51.3%), 14 with stage IVA (35.9%), and 5 with stage IVB (12.8%) disease. All patients received at least one cycle of cisplatin-based induction chemotherapy followed by IMRT and more… More >

  • Open Access

    ARTICLE

    Traffic Flow Prediction with Heterogeneous Spatiotemporal Data Based on a Hybrid Deep Learning Model Using Attention-Mechanism

    Jing-Doo Wang1, Chayadi Oktomy Noto Susanto1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1711-1728, 2024, DOI:10.32604/cmes.2024.048955

    Abstract A significant obstacle in intelligent transportation systems (ITS) is the capacity to predict traffic flow. Recent advancements in deep neural networks have enabled the development of models to represent traffic flow accurately. However, accurately predicting traffic flow at the individual road level is extremely difficult due to the complex interplay of spatial and temporal factors. This paper proposes a technique for predicting short-term traffic flow data using an architecture that utilizes convolutional bidirectional long short-term memory (Conv-BiLSTM) with attention mechanisms. Prior studies neglected to include data pertaining to factors such as holidays, weather conditions, and More >

  • Open Access

    REVIEW

    A Review of Hybrid Cyber Threats Modelling and Detection Using Artificial Intelligence in IIoT

    Yifan Liu1, Shancang Li1,*, Xinheng Wang2, Li Xu3

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1233-1261, 2024, DOI:10.32604/cmes.2024.046473

    Abstract The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest were More >

  • Open Access

    ARTICLE

    Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

    Sohaib Latif1,*, M. Saad Bin Ilyas1, Azhar Imran2, Hamad Ali Abosaq3, Abdulaziz Alzubaidi4, Vincent Karovič Jr.5

    Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 353-379, 2024, DOI:10.32604/iasc.2024.047080

    Abstract The Internet of Things (IoT) is growing rapidly and impacting almost every aspect of our lives, from wearables and healthcare to security, traffic management, and fleet management systems. This has generated massive volumes of data and security, and data privacy risks are increasing with the advancement of technology and network connections. Traditional access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF failure. Additionally, conventional privacy preservation methods have high latency costs and overhead for resource-constrained devices. Previous machine learning approaches were… More >

  • Open Access

    ARTICLE

    Predicting 3D Radiotherapy Dose-Volume Based on Deep Learning

    Do Nang Toan1,*, Lam Thanh Hien2, Ha Manh Toan1, Nguyen Trong Vinh2, Pham Trung Hieu1

    Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 319-335, 2024, DOI:10.32604/iasc.2024.046925

    Abstract Cancer is one of the most dangerous diseases with high mortality. One of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and technicians. In our study, we focused on the 3D dose prediction problem in radiotherapy by applying the deep-learning approach to computed tomography (CT) images of cancer patients. Medical image data has more complex characteristics than normal image data, and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the… More >

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