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  • Open Access

    REVIEW

    Targeting triple-negative breast cancer: A clinical perspective

    LAZAR S. POPOVIC1,2,*, GORANA MATOVINA-BRKO1, MAJA POPOVIC1,2, KEVIN PUNIE3, ANA CVETANOVIC4,5, MATTEO LAMBERTINI6,7

    Oncology Research, Vol.31, No.3, pp. 221-238, 2023, DOI:10.32604/or.2023.028525

    Abstract Triple-negative breast cancer (TNBC) is a disease with often an aggressive course and a poor prognosis compared to other subtypes of breast cancer. TNBC accounts for approximately 10%–15% of all diagnosed breast cancer cases and represents a high unmet need in the field. Up to just a few years ago, chemotherapy was the only systemic treatment option for this subtype (1). To date, TNBC is considered a heterogeneous disease. One of the existing classifications is based on the analysis of mRNA expression in 587 TNBC cases, in which Lehman et al. proposed six subtypes of TNBC as follows: two basal-like… More > Graphic Abstract

    Targeting triple-negative breast cancer: A clinical perspective

  • Open Access

    ARTICLE

    Proteomics analysis provides novel biomarkers and therapeutic target candidates in the treatment of the Huang-Pu-Tong-Qiao formula in an AD rat model

    QIAN CHEN1,#, XIN LEI1,#, GUANHUA HU1,#, YAN WANG2, ZHENGQING FANG1, GUOQUAN WANG1, HANG SONG1, SHU YE1,*, BIAO CAI1,*

    BIOCELL, Vol.47, No.6, pp. 1265-1277, 2023, DOI:10.32604/biocell.2023.028811

    Abstract Background: Huang-Pu-Tong-Qiao formula (HPTQ), a traditional Chinese herbal formula, has a variety of pharmacological effects. It has been used to treat Alzheimer’s disease (AD) for decades. This study aimed to screen differentially expressed proteins in the hippocampus of AD model rats treated with HPTQ. Proteomic studies of the effects of HPTQ on AD are key to understanding the therapeutic mechanisms of HPTQ and identifying potential therapeutic targets. Methods: We hence used the isobaric tags for relative and absolute quantification (ITRAQ) approach to investigate the differentially expressed proteins in the hippocampus of AD model rats before and after HPTQ administration and… More >

  • Open Access

    ARTICLE

    Therapeutic targets and signal transduction mechanisms of medicinal plant formula Gancao Xiexin decoction against ulcerative colitis: A network pharmacological study

    CHENHAO SHI1, MAOHONG HUA2, GUANHUA XU3,*

    BIOCELL, Vol.47, No.6, pp. 1329-1344, 2023, DOI:10.32604/biocell.2023.028381

    Abstract Background: Ulcerative colitis (UC) is a chronic disease that often presents with abdominal pain, diarrhea, hematochezia, and significant morbidity. Gancao Xiexin decoction (GXD), a traditional Chinese medicine, has been applied for the clinical treatment of UC, while its action mechanisms are unclear. Methods: The active ingredients and their targets of GXD, and UC-related targets, were derived from public databases. Protein-protein interaction, Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the important active compounds, key targets, and signaling pathways. Then, molecular docking and animal experiments were performed to verify the findings. A total… More >

  • Open Access

    ARTICLE

    PF-YOLOv4-Tiny: Towards Infrared Target Detection on Embedded Platform

    Wenbo Li, Qi Wang*, Shang Gao

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 921-938, 2023, DOI:10.32604/iasc.2023.038257

    Abstract Infrared target detection models are more required than ever before to be deployed on embedded platforms, which requires models with less memory consumption and better real-time performance while considering accuracy. To address the above challenges, we propose a modified You Only Look Once (YOLO) algorithm PF-YOLOv4-Tiny. The algorithm incorporates spatial pyramidal pooling (SPP) and squeeze-and-excitation (SE) visual attention modules to enhance the target localization capability. The PANet-based-feature pyramid networks (P-FPN) are proposed to transfer semantic information and location information simultaneously to ameliorate detection accuracy. To lighten the network, the standard convolutions other than the backbone network are replaced with depthwise… More >

  • Open Access

    ARTICLE

    MEB-YOLO: An Efficient Vehicle Detection Method in Complex Traffic Road Scenes

    Yingkun Song1, Shunhe Hong1, Chentao Hu1, Pingan He2, Lingbing Tao1, Zhixin Tie1,3,*, Chengfu Ding4

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5761-5784, 2023, DOI:10.32604/cmc.2023.038910

    Abstract Rapid and precise vehicle recognition and classification are essential for intelligent transportation systems, and road target detection is one of the most difficult tasks in the field of computer vision. The challenge in real-time road target detection is the ability to properly pinpoint relatively small vehicles in complicated environments. However, because road targets are prone to complicated backgrounds and sparse features, it is challenging to detect and identify vehicle kinds fast and reliably. We suggest a new vehicle detection model called MEB-YOLO, which combines Mosaic and MixUp data augmentation, Efficient Channel Attention (ECA) attention mechanism, Bidirectional Feature Pyramid Network (BiFPN)… More >

  • Open Access

    ARTICLE

    Improving Targeted Multimodal Sentiment Classification with Semantic Description of Images

    Jieyu An*, Wan Mohd Nazmee Wan Zainon, Zhang Hao

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5801-5815, 2023, DOI:10.32604/cmc.2023.038220

    Abstract Targeted multimodal sentiment classification (TMSC) aims to identify the sentiment polarity of a target mentioned in a multimodal post. The majority of current studies on this task focus on mapping the image and the text to a high-dimensional space in order to obtain and fuse implicit representations, ignoring the rich semantic information contained in the images and not taking into account the contribution of the visual modality in the multimodal fusion representation, which can potentially influence the results of TMSC tasks. This paper proposes a general model for Improving Targeted Multimodal Sentiment Classification with Semantic Description of Images (ITMSC) as… More >

  • Open Access

    ARTICLE

    Comprehensively analyzing the genetic alterations, and identifying key genes in ovarian cancer

    QINGLING TANG1, WARDA ATIQ2, SHAISTA MAHNOOR2, MOSTAFA A. ABDEL-MAKSOUD3, MOHAMMED AUFY4, HAMID YAZ3,*, JIANYU ZHU5,*

    Oncology Research, Vol.31, No.2, pp. 141-156, 2023, DOI:10.32604/or.2023.028548

    Abstract Though significant improvements have been made in the treatment methods for ovarian cancer (OC), the prognosis for OC patients is still poor. Exploring hub genes associated with the development of OC and utilizing them as appropriate potential biomarkers or therapeutic targets is highly valuable. In this study, the differentially expressed genes (DEGs) were identified from an independent GSE69428 Gene Expression Omnibus (GEO) dataset between OC and control samples. The DEGs were processed to construct the protein-protein interaction (PPI) network using STRING. Later, hub genes were identified through Cytohubba analysis of the Cytoscape. Expression and survival profiling of the hub genes… More >

  • Open Access

    ARTICLE

    Detection Algorithm of Surface Defect Word on Printed Circuit Board

    Min Zhang*, Haixu Xi

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3911-3923, 2023, DOI:10.32604/csse.2023.036709

    Abstract For Printed Circuit Board (PCB) surface defect detection, traditional detection methods mostly focus on template matching-based reference method and manual detections, which have the disadvantages of low defect detection efficiency, large errors in defect identification and localization, and low versatility of detection methods. In order to further meet the requirements of high detection accuracy, real-time and interactivity required by the PCB industry in actual production life. In the current work, we improve the You-only-look-once (YOLOv4) defect detection method to train and detect six types of PCB small target defects. Firstly, the original Cross Stage Partial Darknet53 (CSPDarknet53) backbone network is… More >

  • Open Access

    REVIEW

    Transcriptional factor RUNX1: A potential therapeutic target for fibrotic pulmonary disease

    JIA LIU1,2,#, FAPING WANG1,2,#, BO YUAN3, FENGMING LUO1,2,*

    BIOCELL, Vol.47, No.4, pp. 697-705, 2023, DOI:10.32604/biocell.2023.026148

    Abstract Runt-related transcription factor-1 (RUNX1), also known as the core-binding factor alpha 2 subunit, is closely related to human leukemia. The functions of RUNX1 in modulating cell proliferation, differentiation, and survival in multiple systems have been gradually discovered with the emergence of transgenic mice. RUNX1 is a powerful transcription factor implicated in diverse signaling pathways and cellular mechanisms that participate in lung development and pulmonary diseases. RUNX1 has recently been identified as a target regulator of fibrotic remodeling diseases, particularly in the kidney. However, the role of RUNX1 in pulmonary fibrosis is unclear. Pulmonary fibrosis is characterized by obscure nosogenesis, limited… More >

  • Open Access

    ARTICLE

    Inhibition of apoptosis-regulatory protein Siva-1 reverses multidrug resistance in gastric cancer by targeting PCBP1

    FANBIAO KONG1,2,#, KUN WU3,4,#, LIMING PANG2,#, YULIANG HUANG2,#, LEI LI3, JING XU2, FEITONG LI2, YAN QING2, ZHONGYU WANG2, XIURONG HUANG3, SHENG XU2, XIAOGANG ZHONG2, ZHOU ZHU2, XIAOTONG WANG3,*, JIANRONG YANG5,*

    Oncology Research, Vol.30, No.6, pp. 277-288, 2022, DOI:10.32604/or.2022.027301

    Abstract Introduction: Siva-1, as a pro-apoptotic protein, has been shown to induce extensive apoptosis in a number of different cell lines. In our previous study, we showed that overexpressed Siva-1 decreased the apoptosis of gastric cancer cells. So, we believe that it can also work as an anti-apoptotic protein. The present study aimed to determine the specific role of Siva-1 in anticancer drug resistance in gastric cancer in vivo and in vitro and preliminarily reveal the mechanism. Materials and Methods: A vincristine-resistant MKN-28/VCR gastric cancer cell line with stably downregulated Siva-1 was established. The effect of Siva-1 downregulation on chemotherapeutic drug… More >

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