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  • Open Access

    ARTICLE

    Calcium supplementation in colorectal cancer prevention: A systematic meta-analysis of adverse events

    XUE MEI LUO1, SHAHANAVAJ KHAN2,3,4,*, ABDUL MALIK2, FAHAD M. ALDAKHEEL5, ANIS AHMAD CHAUDHARY6, SHOUKI BAZARBASHI7, FATEMEH TABATABAIE8

    BIOCELL, Vol.46, No.3, pp. 759-767, 2022, DOI:10.32604/biocell.2022.016586

    Abstract Despite the multiple systematic reviews and meta-analyses accumulating evidence on the preventive effect of calcium supplementation for colorectal cancer, most of the associated adverse effects are not systematically analyzed. The aim of the study is evaluating adverse events associated with calcium supplementation for colorectal cancer prevention through a systematic meta-analysis. We searched Medline, PubMed Central, EMBASE (Excerpta Medica database), Scopus, Cochrane Central Register of Controlled Trials, and Web of Science published in English from database inception up to 31 July 2019. In the current systematic meta-analysis, we included human studies (including cohort studies, clinical trials, case-control studies) on supplementation of… More >

  • 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

    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, SW620 cells were used as… 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

    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 contribute to cancer prognosis and diagnosis… 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

    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 Deep Learning (DL) based disease… 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

    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, many of these results were… 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

    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, the authors propose a novel… 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

    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 (values L*,… 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

    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 intensity adjustment and histogram equalization.… More >

  • Open Access

    ARTICLE

    Color Contrast Enhancement on Pap Smear Images Using Statistical Analysis

    Nadzirah Nahrawi1, Wan Azani Mustafa2,3,*, Siti Nurul Aqmariah Mohd Kanafiah1, Mohd Yusoff Mashor1

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 431-438, 2021, DOI:10.32604/iasc.2021.018635

    Abstract In the conventional cervix cancer diagnosis, the Pap smear sample images are taken by using a microscope,causing the cells to be hazy and afflicted by unwanted noise. The captured microscopic images of Pap smear may suffer from some defects such as blurring or low contrasts. These problems can hide and obscure the important cervical cell morphologies, leading to the risk of false diagnosis. The quality and contrast of the Pap smear images are the primary keys that could affect the diagnosis’ accuracy. The paper's main objective is to propose the best contrast enhancement to eliminate contrast problems in images and… More >

  • Open Access

    ARTICLE

    Exendin-4 inhibits the survival and invasiveness of two colorectal cancer cell lines via suppressing GS3Kβ/β-catenin/NF-κB axis through activating SIRT1

    ATTALLA F. EL-KOTT1,2,*, AYMAN E. EL-KENAWY3, EMAN R. ELBEALY4, ALI S. ALSHEHRI1, HEBA S. KHALIFA2, MASHAEL MOHAMMED BIN-MEFERIJ5, EHAB E. MASSOUD6,7,8, AMIRA M. ALRAMLAWY9

    BIOCELL, Vol.45, No.5, pp. 1337-1353, 2021, DOI:10.32604/biocell.2021.015464

    Abstract This study examined if the anti-tumorigenesis effect of Exendin-4 in HT29 and HCT116 colorectal cancer (CRC) involves modulation of SIRT1 and Akt/GSR3K/β-catenin/NF-κB axis. HT29 and HCT116 cells were treated either with increasing levels of Exendin-4 (0.0-200 µM) or with Exendin-4 (at its IC50) in the presence or absence of EX-527 (10 µM/a selective SIRT1 inhibitor) or Exendin-4 (9-39) amide (E (9-39) A) (1 µM/an Exendin-4 antagonist). In a dose-dependent manner, Exendin-4 inhibited cell survival, but enhanced levels of lactate dehydrogenase (LDH) and single-stranded DNA (ssDNA) in both HT29 and HCT116. In both cell lines and at it has an IC50More >

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