Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (15)
  • Open Access

    ARTICLE

    Heterogeneity beyond tumor heterogeneity—SULF2 involvement in Wnt/β-catenin signaling activation in a heterogeneous side population of liver cancer cells

    DONGYE YANG1,#,*, DONGDONG GUO2,3,#, YUNMEI PENG2, DONGMENG LIU1, YANQIU FU1, FEN SUN2, LISHI ZHOU1, JIAQI GUO1, LAIQING HUANG2,3,*

    BIOCELL, Vol.47, No.9, pp. 2037-2049, 2023, DOI:10.32604/biocell.2023.028863

    Abstract Introduction: Sulfatase 2 (SULF2), an endogenous extracellular sulfatase, can remove 6-O-sulfate groups of glucosamine residues from heparan sulfate (HS) chains to modulate the Wnt/β-catenin signaling pathway, which plays an important role in both liver carcinogenesis and embryogenesis. Side population (SP) cells are widely identified as stem-like cancer cells and are closely related to carcinoma metastasis, recurrence, and poor patient prognosis. However, the roles of SULF2 in SP cells of hepatomas are unclear, and the underlying mechanism is undefined. Objectives: This study aimed to compare the heterogeneity between SP cells and non-side population (NSP) cells derived from three different liver cancer… More > Graphic Abstract

    Heterogeneity beyond tumor heterogeneity—SULF2 involvement in Wnt/β-catenin signaling activation in a heterogeneous side population of liver cancer cells

  • Open Access

    ARTICLE

    Blue LED promotes the chemosensitivity of human hepatoma to Sorafenib by inducing DNA damage

    TONG WANG1,4,#, JINHUAN HONG1,5,#, JIAJIE XIE1,5, QIAN LIU4, JINRUI YUE1,5, XUTING HE1,5, SHIYU GE4, TAO LI4, GUOXIN LIU4, BENZHI CAI1,3,5, LINQIANG LI2,*, YE YUAN1,3,5,*

    BIOCELL, Vol.47, No.8, pp. 1811-1820, 2023, DOI:10.32604/biocell.2023.029120

    Abstract Background: Phototherapies based on sunlight, infrared, ultraviolet, visible, and laser-based treatments present advantages like high curative effects, small invasion, and negligible adverse reactions in cancer treatment. We aimed to explore the potential therapeutic effects of blue light emitting diode (LED) in human hepatoma cells and decipher the underlying cellular and molecular mechanisms. Methods: Wound healing and transwell assays were employed to probe the inhibition of the invasion and migration of hepatocellular carcinoma cells in the presence of blue LED. The sphere-forming test was used to evaluate the effect of LED blue light irradiation on cancer stem cell properties. Immunofluorescence and… More > Graphic Abstract

    Blue LED promotes the chemosensitivity of human hepatoma to Sorafenib by inducing DNA damage

  • Open Access

    REVIEW

    Mini-organs with big impact: Organoids in liver cancer studies

    MUHAMMAD BABAR KHAWAR1,2,3,#, YAJUN WANG4,#, ANEEQA MAJEED3, ALI AFZAL5, KABEER HANEEF6, HAIBO SUN1,2,*

    Oncology Research, Vol.31, No.5, pp. 677-688, 2023, DOI:10.32604/or.2023.029718

    Abstract Hepatocellular carcinoma, the most common primary liver cancer and a leading cause of death, is a difficult disease to treat due to its heterogeneous nature. Traditional models, such as 2D culture and patient-derived xenografts, have not proven effective. However, the development of 3D culture techniques, such as organoids, which can mimic the tumor microenvironment (TME) and preserve heterogeneity and pathophysiological properties of tumor cells, offers new opportunities for treatment and research. Organoids also have the potential for biomarker detection and personalized medication, as well as genome editing using CRISPR/Cas9 to study the behavior of certain genes and therapeutic interventions. This… More > Graphic Abstract

    Mini-organs with big impact: Organoids in liver cancer studies

  • Open Access

    ARTICLE

    Classifying Hematoxylin and Eosin Images Using a Super-Resolution Segmentor and a Deep Ensemble Classifier

    P. Sabitha*, G. Meeragandhi

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1983-2000, 2023, DOI:10.32604/iasc.2023.034402

    Abstract Developing an automatic and credible diagnostic system to analyze the type, stage, and level of the liver cancer from Hematoxylin and Eosin (H&E) images is a very challenging and time-consuming endeavor, even for experienced pathologists, due to the non-uniform illumination and artifacts. Albeit several Machine Learning (ML) and Deep Learning (DL) approaches are employed to increase the performance of automatic liver cancer diagnostic systems, the classification accuracy of these systems still needs significant improvement to satisfy the real-time requirement of the diagnostic situations. In this work, we present a new Ensemble Classifier (hereafter called ECNet) to classify the H&E stained… More >

  • Open Access

    ARTICLE

    A Transfer Learning Approach Based on Ultrasound Images for Liver Cancer Detection

    Murtada K. Elbashir1, Alshimaa Mahmoud2, Ayman Mohamed Mostafa1,*, Eslam Hamouda1, Meshrif Alruily1, Sadeem M. Alotaibi1, Hosameldeen Shabana3,4, Mohamed Ezz1,*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5105-5121, 2023, DOI:10.32604/cmc.2023.037728

    Abstract The convolutional neural network (CNN) is one of the main algorithms that is applied to deep transfer learning for classifying two essential types of liver lesions; Hemangioma and hepatocellular carcinoma (HCC). Ultrasound images, which are commonly available and have low cost and low risk compared to computerized tomography (CT) scan images, will be used as input for the model. A total of 350 ultrasound images belonging to 59 patients are used. The number of images with HCC is 202 and 148, respectively. These images were collected from ultrasound cases.info (28 Hemangiomas patients and 11 HCC patients), the department of radiology,… More >

  • Open Access

    REVIEW

    Research progress of TRIMs protein family in tumors

    YUANYUAN HUANG#, HONGMEI WU#, RUYUAN LIU, SONG JIN, WEILAI XIANG, CHANG YANG, LI XU, XIAONIAN ZHU*

    BIOCELL, Vol.47, No.3, pp. 445-454, 2023, DOI:10.32604/biocell.2023.025880

    Abstract The tripartite motif (TRIMs) protein family has E3 ubiquitin ligase activity among most of its members. They participate in multiple cellular processes and signaling pathways in living organisms, including cell cycle, growth, and metabolism, and mediate chromatin modification, transcriptional regulation, post-translational modification, and cellular autophagy. Previous studies have confirmed that the TRIMs protein family is involved in the development of various cancers and correlated with the prognosis of tumor patients. Here we summarize the biological roles of the TRIMs protein family in cancers. More >

  • Open Access

    ARTICLE

    Heparanase/Syndecan-1 Axis Regulates the Grade of Liver Cancer and Proliferative Ability of Hepatocellular Carcinoma Cells

    Shengjin Yu, Huiming Lv, Jinhui Zhang, He Zhang, Weiwei Ju, Yu Jiang*, Lijuan Lin*

    Oncologie, Vol.24, No.3, pp. 539-551, 2022, DOI:10.32604/oncologie.2022.024882

    Abstract Background: Although heparanase/syndecan-1 axis is involved in malignant progression of many cancers, its significance in liver cancer is not well understood. In this study, we explored the value of heparanase/syndecan-1 axis expression in liver cancer and the intervention mechanisms that target this axis by inhibiting the proliferation of hepatocellular carcinoma cells. Materials and Methods: We conducted tissue microarray analysis that included 90 primary liver cancer and their corresponding adjacent samples to evaluate the expression of heparanase and syndecan-1 and their correlation with clinicopathologic characteristics. RNA interference and western blot assays were performed to analyze the effect of heparanase on syndecan-1… More >

  • Open Access

    ARTICLE

    Stacked Gated Recurrent Unit Classifier with CT Images for Liver Cancer Classification

    Mahmoud Ragab1,2,3,*, Jaber Alyami4,5

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2309-2322, 2023, DOI:10.32604/csse.2023.026877

    Abstract Liver cancer is one of the major diseases with increased mortality in recent years, across the globe. Manual detection of liver cancer is a tedious and laborious task due to which Computer Aided Diagnosis (CAD) models have been developed to detect the presence of liver cancer accurately and classify its stages. Besides, liver cancer segmentation outcome, using medical images, is employed in the assessment of tumor volume, further treatment plans, and response monitoring. Hence, there is a need exists to develop automated tools for liver cancer detection in a precise manner. With this motivation, the current study introduces an Intelligent… More >

  • Open Access

    ARTICLE

    Knockdown of Urothelial Carcinoma-Associated 1 Suppressed Cell Growth and Migration Through Regulating miR-301a and CXCR4 in Osteosarcoma MHCC97 Cells

    Genglong Zhu*, Xialei Liu*, Yonghui Su, Fangen Kong, Xiaopeng Hong*, Zhidong Lin

    Oncology Research, Vol.27, No.1, pp. 55-64, 2019, DOI:10.3727/096504018X15201143705855

    Abstract Liver cancer is one of the most common malignancies in the world and a leading cause of cancer-related mortality. Accumulating evidence has highlighted the critical role of long noncoding RNAs (lncRNAs) in various cancers. The present study aimed to explore the role of lncRNA urothelial carcinoma-associated 1 (UCA1) in cell growth and migration in MHCC97 cells and its underlying mechanism. First, we assessed the expression of UCA1 in MHCC97 and three other cell lines by RT-qPCR. Then the expression of UCA1, miR-301a, and CXCR4 in MHCC97 cells was altered by transient transfection. The effects of UCA1 and miR-301 on cell… More >

  • Open Access

    ARTICLE

    Efficacy and Safety of CalliSpheres® Drug-Eluting Beads Transarterial Chemoembolization in Barcelona Clinic Liver Cancer Stage C Patients

    Yaohong Liu, Wensou Huang, Mingji He, Hui Lian, Yongjian Guo, Jingjun Huang, Jingwen Zhou, Kangshun Zhu

    Oncology Research, Vol.27, No.5, pp. 565-573, 2019, DOI:10.3727/096504018X15313896322888

    Abstract This study aimed to investigate the efficacy and safety of drug-eluting beads transarterial chemoembolization (DEB-TACE) treatment in Barcelona Clinic Liver Cancer (BCLC) stage C liver cancer patients. In 39 patients with BCLC stage C liver cancer, after the first cycle of DEB-TACE, 2 (5.1%) and 24 (61.5%) patients achieved complete response (CR) and partial response (PR) to give an overall objective response rate (ORR) of 66.7%. With respect to the second cycle of therapy, the ORR was higher in patients receiving DEB-TACE compared with those receiving cTACE (57.1% vs. 11.1%). After the first cycle of DEB-TACE treatment, the percentages of… More >

Displaying 1-10 on page 1 of 15. Per Page