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  • Open Access

    ARTICLE

    Kidney Tumor Segmentation Using Two-Stage Bottleneck Block Architecture

    Fuat Turk1,*, Murat Luy2, Necaattin Barışçı3, Fikret Yalçınkaya4

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 349-363, 2022, DOI:10.32604/iasc.2022.023710 - 05 January 2022

    Abstract Cases of kidney cancer have shown a rapid increase in recent years. Advanced technology has allowed bettering the existing treatment methods. Research on the subject is still continuing. Medical segmentation is also of increasing importance. In particular, deep learning-based studies are of great importance for accurate segmentation. Tumor detection is a relatively difficult procedure for soft tissue organs such as kidneys and the prostate. Kidney tumors, specifically, are a type of cancer with a higher incidence in older people. As age progresses, the importance of having diagnostic tests increases. In some cases, patients with kidney More >

  • Open Access

    ARTICLE

    Group Decision-Making Model of Renal Cancer Surgery Options Using Entropy Fuzzy Element Aczel-Alsina Weighted Aggregation Operators under the Environment of Fuzzy Multi-Sets

    Jing Fu1,2, Jun Ye3, Liping Xie1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1751-1769, 2022, DOI:10.32604/cmes.2022.018739 - 30 December 2021

    Abstract Since existing selection methods of surgical treatment schemes of renal cancer patients mainly depend on physicians’ clinical experience and judgments, the surgical treatment options of renal cancer patients lack their scientifical and reasonable information expression and group decision-making model for renal cancer patients. Fuzzy multi-sets (FMSs) have a number of properties, which make them suitable for expressing the uncertain information of medical diagnoses and treatments in group decision-making (GDM) problems. To choose the most appropriate surgical treatment scheme for a patient with localized renal cell carcinoma (RCC) (T1 stage kidney tumor), this article needs to… More >

  • Open Access

    ARTICLE

    Computational docking and in vitro analysis identifies novel arylidene analogue FPMXY-14 against renal cancer cells by attenuating Akt

    HASSAN M. OTIFI1, MISHARI ALSHYARBA2, MAJED AL FAYI3,4, AYED A. DERA3,4, PRASANNA RAJAGOPALAN3,4,*

    Oncology Research, Vol.29, No.3, pp. 217-227, 2021, DOI:10.32604/or.2022.03570 - 01 August 2022

    Abstract Targeted therapies are gaining global attention to tackle Renal Cancer (RC). This study aims to screen FPMXY- 14 (novel arylidene analogue) for Akt inhibition by computational and in vitro methods. FPMXY-14 was subjected to proton NMR analysis and Mass spectrum analysis. Vero, HEK-293, Caki-1, and A498 cell lines were used. Akt enzyme inhibition was studied with the fluorescent-based kit assay. Modeller 9.19, Schrodinger 2018-1, LigPrep module, and Glide docking were used in computational analysis. The nuclear status was assessed by PI/Hoechst- 333258 staining, cell cycle, and apoptosis assays were performed using flow cytometry. Scratch wound and… More >

  • Open Access

    ARTICLE

    Ritonavir Interacts With Belinostat to Cause Endoplasmic Reticulum Stress and Histone Acetylation in Renal Cancer Cells

    Makoto Isono, Akinori Sato, Kazuki Okubo, Takako Asano, Tomohiko Asano

    Oncology Research, Vol.24, No.5, pp. 327-335, 2016, DOI:10.3727/096504016X14666990347635

    Abstract The histone deacetylase (HDAC) inhibitor belinostat increases the amount of unfolded proteins in cells by promoting the acetylation of heat shock protein 90 (HSP90), thereby disrupting its chaperone function. The human immunodeficiency virus protease inhibitor ritonavir, on the other hand, not only increases unfolded proteins by suppressing HSP90 but also acts as a proteasome inhibitor. We thought that belinostat and ritonavir together would induce endoplasmic reticulum (ER) stress and kill renal cancer cells effectively. The combination of belinostat and ritonavir induced drastic apoptosis and inhibited the growth of renal cancer cells synergistically. Mechanistically, the combination More >

  • Open Access

    ARTICLE

    ABT-737, a Bcl-2 Selective Inhibitor, and Chloroquine Synergistically Kill Renal Cancer Cells

    Pei Yin*1, Jinpeng Jia†1, Jijun Li*, Yan Song*, Yiyan Zhang*, Fengkun Chen*

    Oncology Research, Vol.24, No.1, pp. 65-72, 2016, DOI:10.3727/096504016X14587366983838

    Abstract Renal cell carcinoma (RCC) is the most common malignancy in the kidney in the world, and the 5-year overall survival for patients remains poor due to the lack of effective treatment strategies. Although ABT-737, as a Bcl-2/Bcl-xL inhibitor, has recently emerged as a novel cancer therapeutic reagent, apoptosis induced by ABT-737 is often blocked in several types of cancer cells. This study investigated whether the combination of the small-molecule BH3 mimetic ABT-737 and the lysosome inhibitor chloroquine was an effective strategy for treating renal cancer cells. We found that the combination of ABT-737 and chloroquine… More >

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