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  • Open Access

    ARTICLE

    Lysophosphatidylcholine acyltransferase 1 is involved in the regulation of exosome secretion and uptake in colorectal cancer cells

    HAIZHENG LIU1, SHAOFEI CHANG2,*

    BIOCELL, Vol.46, No.2, pp. 453-462, 2022, DOI:10.32604/biocell.2021.015340 - 20 October 2021

    Abstract Lysophosphatidylcholine acyltransferase 1 (LPCAT1) is a phospholipid acyltransferase that promotes phospholipid synthesis and plasma membrane reconstruction. Exosomes play an important role in tumor metastasis. The release and uptake of exosomes are key steps of their functions and depend on plasma membrane fusion and plasma membrane receptors, respectively. The purpose of this study was to explore whether LPCAT1-induced plasma membrane remodeling would change the secretion and uptake behavior of exosomes in tumor cells. We first confirmed the abnormally high expression of LPCAT1 in colorectal cancer cells by quantitative real-time PCR (qPCR) and Western blot analysis. Then,… More >

  • Open Access

    ARTICLE

    Elp3 modulates neural crest and colorectal cancer migration requiring functional integrity of HAT and SAM domains

    XIANGCAI YANG1,2,*, YA XU3, SHUTING MEI1, JIEJING LI3,*

    BIOCELL, Vol.46, No.2, pp. 463-470, 2022, DOI:10.32604/biocell.2021.014834 - 20 October 2021

    Abstract Cell migration is a finely tuned biological process that often involves epithelial-mesenchymal transition (EMT). EMT is typically characterized by the upregulation of mesenchymal markers such as Snail1. This process has been shown to be of critical importance to normal developmental processes, including neural crest migration and invasion. Interestingly, similar mechanisms are utilized in disease processes, such as tumor metastasis and migration. Notably, EMT and EMT-like processes confer tumor cells with the ability to migrate, invade, and adopt stem cell-like properties that largely account for immunosuppression and tumor recurrence. Therefore, identifying sensitive EMT markers may… More >

  • Open Access

    ARTICLE

    Intelligent Deep Learning Based Disease Diagnosis Using Biomedical Tongue Images

    V. Thanikachalam1,*, S. Shanthi2, K. Kalirajan3, Sayed Abdel-Khalek4,5, Mohamed Omri6, Lotfi M. Ladhar7

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5667-5681, 2022, DOI:10.32604/cmc.2022.020965 - 11 October 2021

    Abstract The rapid development of biomedical imaging modalities led to its wide application in disease diagnosis. Tongue-based diagnostic procedures are proficient and non-invasive in nature to carry out secondary diagnostic processes ubiquitously. Traditionally, physicians examine the characteristics of tongue prior to decision-making. In this scenario, to get rid of qualitative aspects, tongue images can be quantitatively inspected for which a new disease diagnosis model is proposed. This model can reduce the physical harm made to the patients. Several tongue image analytical methodologies have been proposed earlier. However, there is a need exists to design an intelligent… More >

  • Open Access

    REVIEW

    Metformin and colorectal cancer

    GASTÓN AMABLE#, EDUARDO MARTÍNEZ-LEÓN#, MARÍA E. PICCO, OSVALDO REY

    BIOCELL, Vol.46, No.1, pp. 51-59, 2022, DOI:10.32604/biocell.2022.017565 - 28 September 2021

    Abstract Colorectal cancer (CRC) is one of the main causes of cancer-related mortality in the developed world despite recent developments in detection and treatment. Several epidemiological studies indicate that metformin, a widely prescribed antidiabetic drug, exerts a protective effect on different cancers including CRC. Furthermore, a recent double-blind placebo-controlled, randomized trial showed that metformin significantly decreased colorectal adenoma recurrence. Studies exploring the mechanism of action of metformin in cells derived from different types of cancers reported many effects including respiratory chain complex 1 inhibition, Akt phosphorylation inhibition, ATP depletion, PKA activation and Wnt signaling inhibition. However, More >

  • Open Access

    ARTICLE

    Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

    Kamred Udham Singh1, Hatem Salem Abu-Hamatta2, Abhishek Kumar3, Achintya Singhal4, Mamoon Rashid5,*, A. K. Bashir6

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2525-2542, 2022, DOI:10.32604/cmc.2022.019302 - 27 September 2021

    Abstract Teleradiology plays a vital role in the medical field, which permits transmitting medical and imaging data over a communication network. It ensures data reliability and provides convenient communication for clinical interpretation and diagnostic purposes. The transmission of this medical data over a network raises the problems of legal, ethical issues, privacy, and copyright authenticity. The copyright protection of medical images is a significant issue in the medical field. Watermarking schemes are used to address these issues. A gray-level or binary image is used as a watermark frequently in color image watermarking schemes. In this paper,… More >

  • Open Access

    ARTICLE

    Light Intensity Affects the Coloration and Structure of Chimeric Leaves of Ananas comosus var. bracteatus

    Wei Yang, Yuke Lin, Yanbin Xue, Meiqin Mao, Xuzixing Zhou, Hao Hu, Jiawen Liu, Lijun Feng, Huiling Zhang, Jiaheng Luo, Jun Ma*

    Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 333-348, 2022, DOI:10.32604/phyton.2022.016862 - 26 September 2021

    Abstract Ananas comosus var. bracteatus is an important ornamental plant because of its green/white chimeric leaves. The accumulation of anthocyanin makes the leaf turn to red especially in the marginal part. However, the red fades away in summer and winter. Light intensity is one of the most important factors affecting leaf color along the seasons. In order to understand the effects of light intensity on the growth and coloration of the chimeric leaves, Ananas comosus var. bracteatus was grown under full sunlight, 50% shade and 75% shade for 75 days to evaluate the concentration of pigments, the color parameters… More >

  • Open Access

    ARTICLE

    MicroRNA-188-5p targeting Forkhead Box L1 promotes colorectal cancer progression via activating Wnt/β-catenin signaling

    JIALIN WU1,2,#, ZEHONG CHEN3, WENWEI LIU1,#, YONGXIN ZHANG1, WEI FENG1, YUJIE YUAN1, JINNING YE1, LIANG WANG1, SHIRONG CAI1, YULONG HE1, SUIJING WU4,*, WU SONG1,*

    Oncology Research, Vol.29, No.2, pp. 119-128, 2021, DOI:10.32604/or.2022.03178 - 13 July 2022

    Abstract Objective: MicroRNA-188-5p (miR-188) enhances oncologic progression in various human malignancies. This study aimed to explore its role in colorectal cancer (CRC). Materials and Methods: Human CRC tissues paired with normal tissues, and several CRC cell lines were utilized. Real-time quantitative PCR was applied to measure the expression of miR-188. Overexpression and knockdown were used to access the function of miR-188 and to investigate whether FOXL1/Wnt signaling mediates such function. The proliferation, migration and invasion of cancer cells were evaluated by CCK8, wound-healing and transwell assays, respectively. Whether FOXL1 acted as a direct target of miR-188 was verified More >

  • Open Access

    ARTICLE

    Comparison of UGT1A1 Polymorphism as Guidance of Irinotecan Dose Escalation in RAS Wild-Type Metastatic Colorectal Cancer Patients Treated With Cetuximab or Bevacizumab Plus FOLFIRI as the First-Line Therapy

    Hsiang-Lin Tsai*†, Yen-Cheng Chen*‡, Tzu-Chieh Yin*§¶, Wei-Chih Su*‡, Po-Jung Chen*,Tsung-Kun Chang*†, Ching-Chun Li*, Ching-Wen Huang*†, Jaw-Yuan Wang*†‡#**††‡‡

    Oncology Research, Vol.29, No.1, pp. 47-61, 2021, DOI:10.3727/096504022X16451187313084

    Abstract Uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1) polymorphism plays a crucial role in the increased susceptibility and toxicity of patients to irinotecan. This retrospective, observational study compared the clinical outcomes and adverse events (AEs) in RAS wild-type metastatic colorectal cancer (mCRC) patients treated with cetuximab or bevacizumab plus FOLFIRI with UGT1A1 genotyping and irinotecan dose escalation as the first-line therapy. In total, 173 patients with mCRC with RAS wild-type were enrolled. Among them, 98 patients were treated with cetuximab, whereas 75 patients were treated with bevacizumab. All patients received irinotecan dose escalation based on UGT1A1 genotyping. We compared the progression-free… More >

  • Open Access

    ARTICLE

    Real-World Data: Fruquintinib in Treating Metastatic Colorectal Cancer

    Shuai Liu*†1, Lu Lu*†1, Feng Pan, Chunsheng Yang*†, Jing Liang§, Jinfeng Liu, Jian Wang#, Rong Shen**, Fu-Ze Xin††, Nan Zhang*†

    Oncology Research, Vol.29, No.1, pp. 25-31, 2021, DOI:10.3727/096504022X16427607626672

    Abstract Fruquintinib, also called HMPL-013, was first discovered by Hutchison Whampoa Pharmaceuticals Co. Ltd., Shanghai, China, and it is an oral vascular endothelial growth factor receptor (VEGFR) inhibitor. In clinical trials, fruquintinib has demonstrated a survival benefit in metastatic colorectal cancer (mCRC) patients. The purpose of this study was to retrospectively evaluate the efficacy and toxicity of fruquintinib in real-world patients. We collected data from patients with mCRC treated with oral fruquintinib from 2018 to 2020 in six different institutions. Patients with mCRC initially received 5 mg of oral fruquintinib daily for 3 weeks. Progression-free survival… More >

  • Open Access

    ARTICLE

    Machine Learning-based Detection and Classification of Walnut Fungi Diseases

    Muhammad Alyas Khan1, Mushtaq Ali1, Mohsin Shah2, Toqeer Mahmood3, Muneer Ahmad4, NZ Jhanjhi5, Mohammad Arif Sobhan Bhuiyan6,*, Emad Sami Jaha7

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 771-785, 2021, DOI:10.32604/iasc.2021.018039 - 20 August 2021

    Abstract Fungi disease affects walnut trees worldwide because it damages the canopies of the trees and can easily spread to neighboring trees, resulting in low quality and less yield. The fungal disease can be treated relatively easily, and the main goal is preventing its spread by automatic early-detection systems. Recently, machine learning techniques have achieved promising results in many applications in the agricultural field, including plant disease detection. In this paper, an automatic machine learning-based detection method for identifying walnut diseases is proposed. The proposed method first resizes a leaf’s input image and pre-processes it using… More >

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