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Search Results (175)
  • Open Access

    ARTICLE

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

    QIOU GU1, CHUILIN LAI1, XIAO GUAN1, JING ZHU2, TIAN ZHAN1, JIANPING ZHANG1,*

    BIOCELL, Vol.48, No.2, pp. 253-269, 2024, DOI:10.32604/biocell.2023.028336

    Abstract Objectives: Colorectal cancer (CRC) is a serious threat to human health worldwide. Oxaliplatin is a platinum analog and is widely used to treat CRC. However, resistance to oxaliplatin restricts its effectiveness and application while its target recognition and mechanism of action also remain unclear. Therefore, we aimed to develop an oxaliplatin-resistant prognostic model to clarify these aspects. Methods: We first obtained oxaliplatin-resistant and parental cell lines, and identified oxaliplatin-resistant genes using RNA sequencing (RNA-seq) and differential gene analysis. We then acquired relevant data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Cox regression and Least Absolute… More > Graphic Abstract

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

  • Open Access

    ARTICLE

    Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine

    Arslan Akram1,2, Imran Khan1, Javed Rashid2,3, Mubbashar Saddique4,*, Muhammad Idrees4, Yazeed Yasin Ghadi5, Abdulmohsen Algarni6

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1311-1328, 2024, DOI:10.32604/cmc.2023.040512

    Abstract Algorithms for steganography are methods of hiding data transfers in media files. Several machine learning architectures have been presented recently to improve stego image identification performance by using spatial information, and these methods have made it feasible to handle a wide range of problems associated with image analysis. Images with little information or low payload are used by information embedding methods, but the goal of all contemporary research is to employ high-payload images for classification. To address the need for both low- and high-payload images, this work provides a machine-learning approach to steganography image classification that uses Curvelet transformation to… More >

  • Open Access

    ARTICLE

    Smart Colorimetric Corn Starch Films Combined with Anthocyanin-Loaded Glutenin-Carboxymethyl Chitosan Nanocomplexes for Freshness Monitoring of Chilled Pork

    Juan Yan1, Wenchao Li1, Xianfang Zhang1, Shisheng Liu2,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 71-87, 2024, DOI:10.32604/jrm.2023.028927

    Abstract In this study, intelligent, pH-responsive colorimetric films were prepared by encapsulating anthocyanins in nanocomplexes prepared from glutenin and carboxymethyl chitosan. These nanocomplexes were added to a corn starch matrix and used in the freshness monitoring of chilled pork. The effects of anthocyanin-loaded nanocomplexes on the physical, structural, and functional characteristics of the films were investigated. The addition of anthocyanin-loaded nanocomplexes increased the tensile strength, elongation at break, hydrophobicity, and light transmittance of the films while decreasing their water vapor permeability. This is because new hydrogen bonds are formed between the film components, resulting in a more homogeneous and dense structure.… More >

  • Open Access

    ARTICLE

    Identification and validation of novel prognostic fatty acid metabolic gene signatures in colon adenocarcinoma through systematic approaches

    HENG ZHANG1,#, WENJING CHENG2,#, HAIBO ZHAO2, WEIDONG CHEN2, QIUJIE ZHANG2,*, QING-QING YU2,*

    Oncology Research, Vol.32, No.2, pp. 297-308, 2024, DOI:10.32604/or.2023.043138

    Abstract Background: Colorectal cancer (CRC) belongs to the class of significantly malignant tumors found in humans. Recently, dysregulated fatty acid metabolism (FAM) has been a topic of attention due to its modulation in cancer, specifically CRC. However, the regulatory FAM pathways in CRC require comprehensive elucidation. Methods: The clinical and gene expression data of 175 fatty acid metabolic genes (FAMGs) linked with colon adenocarcinoma (COAD) and normal cornerstone genes were gathered through The Cancer Genome Atlas (TCGA)-COAD corroborating with the Molecular Signature Database v7.2 (MSigDB). Initially, crucial prognostic genes were selected by uni- and multi-variate Cox proportional regression analyses; then, depending… More >

  • Open Access

    ARTICLE

    Absent in melanoma 2 attenuates proliferation and migration and promotes apoptosis of human colorectal cancer cells by activating P38MAPK signaling pathway

    ZHI ZHANG1,#, XIAOSONG LI1,2,#, YING ZHANG1,2,#, HAO ZHU1,2, ZHENGUO QIAO3, YANG LU4, XIUWEI MI4, HUIHUA CAO5, GENHAI SHEN1,*, SONGBING HE4,*

    Oncology Research, Vol.32, No.2, pp. 353-360, 2024, DOI:10.32604/or.2023.042986

    Abstract Colorectal cancer (CRC) stands among the top prevalent cancers worldwide and holds a prominent position as a major contributor to cancer-related mortality globally. Absent in melanoma 2 (AIM2), a constituent of the interferon-inducible hematopoietic interferon-inducible nuclear antigens with 200 amino acid repeats protein family, contributes to both cancer progression and inflammasome activation. Despite this understanding, the precise biological functions and molecular mechanisms governed by AIM2 in CRC remain elusive. Consequently, this study endeavors to assess AIM2’s expression levels, explore its potential antitumor effects, elucidate associated cancer-related processes, and decipher the underlying signaling pathways in CRC. Our findings showed a reduced… More > Graphic Abstract

    Absent in melanoma 2 attenuates proliferation and migration and promotes apoptosis of human colorectal cancer cells by activating P38MAPK signaling pathway

  • Open Access

    ARTICLE

    Nuclei Segmentation in Histopathology Images Using Structure-Preserving Color Normalization Based Ensemble Deep Learning Frameworks

    Manas Ranjan Prusty1, Rishi Dinesh2, Hariket Sukesh Kumar Sheth2, Alapati Lakshmi Viswanath2, Sandeep Kumar Satapathy2,3,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3077-3094, 2023, DOI:10.32604/cmc.2023.042718

    Abstract This paper presents a novel computerized technique for the segmentation of nuclei in hematoxylin and eosin (H&E) stained histopathology images. The purpose of this study is to overcome the challenges faced in automated nuclei segmentation due to the diversity of nuclei structures that arise from differences in tissue types and staining protocols, as well as the segmentation of variable-sized and overlapping nuclei. To this extent, the approach proposed in this study uses an ensemble of the UNet architecture with various Convolutional Neural Networks (CNN) architectures as encoder backbones, along with stain normalization and test time augmentation, to improve segmentation accuracy.… More >

  • Open Access

    ARTICLE

    LIM1863 is useful to explore collective cancer cell migration, and the group of heterogeneous cells undergoing collective migration behaves like a supracellular unit

    JINSONG WU1,2, ZHENG ZHI1, WENZHONG XU1, DIANCGENG LI1, QIUBO LI1, YAN HAN1, JIANMING HE1,3,*, XI LIANG1,*

    BIOCELL, Vol.47, No.12, pp. 2671-2680, 2023, DOI:10.32604/biocell.2023.043494

    Abstract Introduction: Collective cancer cell migration (CCCM) and epithelial-to-mesenchymal transition (EMT) play key roles in metastasis. This study reports that the colorectal carcinoma cell line LIM1863 is useful for the study of CCCM and EMT. Methods: Hematoxylin and eosin staining, scanning electron microscopy, transmission electron microscopy, and western blot analysis were performed. Results: LIM1863 automatically grew as spheroids in suspension and had important typical epithelial properties, including several layers of cells arranged around a central lumen, apical-basal polarity, and types of cell-cell junctions. Treatment with a combination of both TGF beta 1 and TNF alpha induced definite and distinct EMT, a… More >

  • Open Access

    ARTICLE

    Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space

    Mudassir Khalil1, Muhammad Imran Sharif2,*, Ahmed Naeem3, Muhammad Umar Chaudhry1, Hafiz Tayyab Rauf4,*, Adham E. Ragab5

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2031-2047, 2023, DOI:10.32604/cmc.2023.043687

    Abstract Early detection of brain tumors is critical for effective treatment planning. Identifying tumors in their nascent stages can significantly enhance the chances of patient survival. While there are various types of brain tumors, each with unique characteristics and treatment protocols, tumors are often minuscule during their initial stages, making manual diagnosis challenging, time-consuming, and potentially ambiguous. Current techniques predominantly used in hospitals involve manual detection via MRI scans, which can be costly, error-prone, and time-intensive. An automated system for detecting brain tumors could be pivotal in identifying the disease in its earliest phases. This research applies several data augmentation techniques… More >

  • Open Access

    ARTICLE

    Hsa_circ_0036740 in familial adenomatous polyposis: Immune regulation and neutrophil effects in CRC based on high-throughput assay

    ZHIWANG LI, HAN YU, YUPING LIU, WEISHENG WU, HAIJING ZENG, EN LI*

    BIOCELL, Vol.47, No.11, pp. 2409-2422, 2023, DOI:10.32604/biocell.2023.031186

    Abstract Familial adenomatous polyposis (FAP) is an autosomal dominant disease with a high probability of becoming cancerous. Many RNAs potentially associated with FAP have not been identified. In this study, a circRNA (circular RNA) expression profile of FAP was established using a circRNA microarray, and differentially expressed circRNAs were verified by RT-qPCR. The effects of hsa_circ_0036740 on the malignant behavior of tumor cells (proliferation, apoptosis, and epithelial mesenchymal transition) and the levels of C3A complement protein expression were evaluated. Moreover, neutrophils were isolated and co-cultured with colorectal cancer cells (CRCs), followed by measurements of MPO-DNA, citrullinated histone H3, interleukin (IL)-1β, IL-6,… More > Graphic Abstract

    Hsa_circ_0036740 in familial adenomatous polyposis: Immune regulation and neutrophil effects in CRC based on high-throughput assay

  • Open Access

    REVIEW

    Application of exosomal miRNA mediated macrophage polarization in colorectal cancer: Current progress and challenges

    YUN ZHANG1,2,#, SHALING TANG1,2,#, YUBO GAO1,2, ZHONGTING LU1,2, YUAN YANG1,2, JING CHEN3, TAO LI4,*

    Oncology Research, Vol.32, No.1, pp. 61-71, 2024, DOI:10.32604/or.2023.043481

    Abstract Colorectal cancer (CRC) is a major global health problem with high morbidity and mortality rates. Surgical resection is the main treatment for early-stage CRC, but detecting it early is challenging. Therefore, effective therapeutic targets for advanced patients are still lacking. Exosomes, tiny vesicles in body fluids, play a crucial role in tumor metastasis, immune regulation, and drug resistance. Interestingly, they can even serve as a biomarker for cancer diagnosis and prognosis. Studies have shown that exosomes can carry miRNA, mediate the polarization of M1/M2 macrophages, promote the proliferation and metastasis of cancer cells, and affect the prognosis of CRC. Since… More > Graphic Abstract

    Application of exosomal miRNA mediated macrophage polarization in colorectal cancer: Current progress and challenges

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