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Search Results (18)
  • 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 >

  • Open Access

    ARTICLE

    Efficacy and Safety of Drug-Eluting Beads Transarterial Chemoembolization by CalliSpheres® in 275 Hepatocellular Carcinoma Patients: Results From the Chinese CalliSpheres® Transarterial Chemoembolization in Liver Cancer (CTILC) Study

    Junhui Sun*1, Guanhui Zhou*1, Xiaoxi Xie, Wenjiang Gu, Jing Huang§, Dedong Zhu, Wenhao Hu#, Qinming Hou**, Changsheng Shi††, Tiefeng Li‡‡ , Xin Zhang§§, Wenbin Ji¶¶, Shihong Ying§§, Zhiyi Peng§§, Jian Zhou##, Zhihai Yu***, Jiansong Ji†††, Haijun Du‡‡‡, Xiaohua Guo§§§, Jian Fang¶¶¶, Jun Han###, Huanhai Xu****, Zhichao Sun††††, Wenqiang Yu‡‡‡‡, Guoliang Shao§§§§, Xia Wu¶¶¶¶ ,Hongjie Hu¶¶¶¶ , Ling Li#, Jiaping Zheng§§§§, Jun Luo§§§§, Yutang Chen§§§§, Guohong Cao####, Tingyang Hu‡‡‡‡

    Oncology Research, Vol.28, No.1, pp. 75-94, 2020, DOI:10.3727/096504019X15662966719585

    Abstract The purpose of this study was to investigate the efficacy and safety of drug-eluting beads transarterial chemoembolization (DEB-TACE) treatment in Chinese hepatocellular carcinoma (HCC) patients and the prognostic factors for treatment response as well as survival. A total of 275 HCC patients were included in this prospective study. Treatment response was assessed by modified Response Evaluation Criteria in Solid Tumors (mRECIST), and progression-free survival (PFS) as well as overall survival (OS) were determined. Liver function and adverse events (AEs) were assessed before and after DEB-TACE operation. Complete response (CR), partial response (PR), and objective response rate (ORR) were 22.9%, 60.7%,… More >

  • Open Access

    ARTICLE

    The Comprehensive Analysis of Efficacy and Safety of CalliSpheres® Drug-Eluting Beads Transarterial Chemoembolization in 367 Liver Cancer Patients: A Multiple-Center, Cohort Study

    Zhiyi Peng*1, Guohong Cao†1, Qinming Hou, Ling Li§, Shihong Ying*, Junhui Sun, Guanhui Zhou, Jian Zhou#, Xin Zhang*, Wenbin Ji**, Zhihai Yu††, Tiefeng Li‡‡, Dedong Zhu§, Wenhao Hu§§, Jiansong Ji¶¶, Haijun Du##, Changsheng Shi***, Xiaohua Guo†††, Jian Fang‡‡‡, Jun Han§§§, Wenjiang Gu¶¶¶, Xiaoxi Xie###, Zhichao Sun****, Huanhai Xu††††, Xia Wu‡‡‡‡, Tingyang Hu§§§§, Jing Huang¶¶¶¶, Hongjie Hu‡‡‡‡, Jiaping Zheng####, Jun Luo####, Yutang Chen####, Wenqiang Yu§§§§, Guoliang Shao####

    Oncology Research, Vol.28, No.3, pp. 249-271, 2020, DOI:10.3727/096504019X15766663541105

    Abstract This study aimed to investigate the efficacy, safety, and prognostic factors of drug-eluting beads transarterial chemoembolization (DEB-TACE) in treating Chinese patients with liver cancer. A total of 367 liver cancer patients from 24 medical centers were consecutively enrolled in this multiple-center, prospective cohort study, including 275 hepatocellular carcinoma (HCC) cases, 37 intrahepatic cholangiocarcinoma (ICC) cases, and 55 secondary liver cancer cases. All the patients received CalliSpheres® DEB-TACE treatment. Treatment response, overall survival (OS), change of liver function, and adverse events (AEs) were assessed. DEB-TACE treatment achieved 19.9% complete response (CR) and 79.6% objective response rate (ORR), with mean OS of… More >

  • Open Access

    ARTICLE

    Drug Response Prediction of Liver Cancer Cell Line Using Deep Learning

    Mehdi Hassan1,*, Safdar Ali2, Muhammad Sanaullah3, Khuram Shahzad4, Sadaf Mushtaq5,6, Rashda Abbasi6, Zulqurnain Ali4, Hani Alquhayz7

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2743-2760, 2022, DOI:10.32604/cmc.2022.020055

    Abstract Cancer is the second deadliest human disease worldwide with high mortality rate. Rehabilitation and treatment of this disease requires precise and automatic assessment of effective drug response and control system. Prediction of treated and untreated cancerous cell line is one of the most challenging problems for precise and targeted drug delivery and response. A novel approach is proposed for prediction of drug treated and untreated cancer cell line automatically by employing modified Deep neural networks. Human hepatocellular carcinoma (HepG2) cells are exposed to anticancer drug functionalized CFO@BTO nanoparticles developed by our lab. Prediction models are developed by modifying ResNet101 and… More >

  • Open Access

    ARTICLE

    Value of Mir-1271 and GPC3 in Prognosis Evaluation of Liver Cancer Patients after Liver Transarterial Chemoembolization

    Xin Chang1,2,#,*, Jin Wang2,#, Caifang Ni1

    Oncologie, Vol.23, No.1, pp. 119-130, 2021, DOI:10.32604/oncologie.2021.014152

    Abstract Objective: This research was designed to observe the value of miR-1271 and GPC3 in evaluating the prognosis of liver cancer (LC) patients after liver transarterial chemoembolization (TACE). Methods: A total of 80 patients diagnosed as LC in our hospital from January 2018 to April 2019 were included in the LC group (LCG), and then assigned into a survival group (SG) and a death group (DG) based on prognosis. Seventy healthy subjects undergoing physical examination simultaneously were included in the normal group (NG). miR-1271 and GPC3 in serum of two groups of subjects were tested via qRT-PCR. ROC curve was drawn.… More >

  • Open Access

    ARTICLE

    Modeling Liver Cancer and Leukemia Data Using Arcsine-Gaussian Distribution

    Farouq Mohammad A. Alam1, Sharifah Alrajhi1, Mazen Nassar1,2, Ahmed Z. Afify3,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2185-2202, 2021, DOI:10.32604/cmc.2021.015089

    Abstract The main objective of this paper is to discuss a general family of distributions generated from the symmetrical arcsine distribution. The considered family includes various asymmetrical and symmetrical probability distributions as special cases. A particular case of a symmetrical probability distribution from this family is the Arcsine–Gaussian distribution. Key statistical properties of this distribution including quantile, mean residual life, order statistics and moments are derived. The Arcsine–Gaussian parameters are estimated using two classical estimation methods called moments and maximum likelihood methods. A simulation study which provides asymptotic distribution of all considered point estimators, 90% and 95% asymptotic confidence intervals are… More >

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