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  • Open Access

    ARTICLE

    Death domain-associated protein (Daxx) impairs colon cancer chemotherapy by inhibiting the cGAS-STING pathway

    XI ZHU1,2,#, KAI HUANG3,#, XIAOMING KAO2, ZHAOHUI TANG3, WENJIE GUO3, TIANCONG WU4,*, QIURONG LI1,2,*

    Oncology Research, Vol.33, No.5, pp. 1149-1159, 2025, DOI:10.32604/or.2024.054930 - 18 April 2025

    Abstract Background: Colorectal cancer (CRC) holds the third position in global cancer prevalence mortality. Although chemotherapy is a conventional treatment, recent investigations have shed light on the therapeutic potential of the cGAS cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway in CRC management. Despite the primary role of the death domain-associated protein (Daxx) in cellular apoptosis, its influence on the regulation of cGAS-STING activation remains elusive. Methods: The Daxx degradation and speck formation were conducted using immunofluorescence and Western blotting. The Daxx knock-down and over-expression in CRC cells were performed to detect in vivo and in vitroMore >

  • Open Access

    ARTICLE

    A novel Wnt/β-catenin signaling gene signature for progression and metastasis of gastric cancer

    JIA CHEN1,2, FEI JIANG1, KAIYI NIU3, HAODONG ZHAO2, LI LI1,*, HONGZHU YU1,*

    Oncology Research, Vol.33, No.5, pp. 1199-1215, 2025, DOI:10.32604/or.2024.054366 - 18 April 2025

    Abstract Backgrounds: As cancer progresses through various stages of malignancy, metastasis, and drug resistance, the Wnt/-catenin signaling is frequently dysregulated. Despite advancements in medical technology and therapeutic strategies, the prognosis for numerous gastric cancer patients remains unfavorable. Methods: For the analysis of prognostic signature genes associated with Wnt signaling in GC, we used LASSO (least absolute shrinkage and selection operator) regression. To explore the function, cell specificity, and transcriptional regulation of the signature gene Carboxypeptidase Z (CPZ), we conducted co-expression analysis, single-cell RNA sequencing data analysis, transcription factor prediction, and dual luciferase reporter assay. The knockdown… More >

  • Open Access

    REVIEW

    Research progress on cancer-associated fibroblasts in osteosarcoma

    LIWEN FENG1,2,#,*, YUTING CHEN3,#, WENYI JIN4

    Oncology Research, Vol.33, No.5, pp. 1091-1103, 2025, DOI:10.32604/or.2024.054207 - 18 April 2025

    Abstract Osteosarcoma (OS) is a prevalent primary bone malignancy with limited treatment options. Therefore, it is imperative to investigate and understand the mechanisms underlying OS pathogenesis. Cancer-associated fibroblasts (CAFs) are markedly abundant in tumor stromal cells and are essentially involved in the modulation of tumor occurrence and development. In recent years, CAFs have become a hotspot as researchers aim to elucidate CAF mechanisms that regulate tumor progression. However, most studies on CAFs are limited to a few common cancers, and their association with OS remains elusive. This review describes the role and current knowledge of CAFs More >

  • Open Access

    ARTICLE

    UltraSegNet: A Hybrid Deep Learning Framework for Enhanced Breast Cancer Segmentation and Classification on Ultrasound Images

    Suhaila Abuowaida1,*, Hamza Abu Owida2, Deema Mohammed Alsekait3,*, Nawaf Alshdaifat4, Diaa Salama AbdElminaam5,6, Mohammad Alshinwan4

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3303-3333, 2025, DOI:10.32604/cmc.2025.063470 - 16 April 2025

    Abstract Segmenting a breast ultrasound image is still challenging due to the presence of speckle noise, dependency on the operator, and the variation of image quality. This paper presents the UltraSegNet architecture that addresses these challenges through three key technical innovations: This work adds three things: (1) a changed ResNet-50 backbone with sequential 3 convolutions to keep fine anatomical details that are needed for finding lesion boundaries; (2) a computationally efficient regional attention mechanism that works on high-resolution features without using a transformer’s extra memory; and (3) an adaptive feature fusion strategy that changes local and… More >

  • Open Access

    ARTICLE

    An Effective Lung Cancer Diagnosis Model Using Pre-Trained CNNs

    Majdi Rawashdeh1,2,*, Muath A. Obaidat3, Meryem Abouali4, Dhia Eddine Salhi5, Kutub Thakur6

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1129-1155, 2025, DOI:10.32604/cmes.2025.063765 - 11 April 2025

    Abstract Cancer is a formidable and multifaceted disease driven by genetic aberrations and metabolic disruptions. Around 19% of cancer-related deaths worldwide are attributable to lung and colon cancer, which is also the top cause of death worldwide. The malignancy has a terrible 5-year survival rate of 19%. Early diagnosis is critical for improving treatment outcomes and survival rates. The study aims to create a computer-aided diagnosis (CAD) that accurately diagnoses lung disease by classifying histopathological images. It uses a publicly accessible dataset that includes 15,000 images of benign, malignant, and squamous cell carcinomas in the lung.… More >

  • Open Access

    ARTICLE

    Chemical Composition, Antioxidant and Anticancer Activities of Thymus capitatus Essential Oil: Experimental and Computational Approaches

    Hamada Imtara1,2,*, Feras Abujaber1, Faady Siouri1, Aziz Tumeh1, Bashar Saad2

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 723-737, 2025, DOI:10.32604/phyton.2025.063403 - 31 March 2025

    Abstract Traditional Palestinian medicine uses Thymus capitatus (T. capitatus), a plant recognized for its therapeutic properties due to its high concentration of essential oils such as thymol and carvacrol, to treat skin diseases, gastrointestinal disorders, and respiratory infections. The present study was conducted to evaluate the antioxidant and anticancer activities of T. capitatus essential oil (EO). Moreover, this study employed computational methods including ADMET analysis and molecular docking. Using Gas chromatography-mass spectrometry (GC-MS) analysis, the phytochemical composition of T. capitatus essential oil was identified. The DPPH scavenging method was used to assess antioxidant activity. The Michigan Cancer Foundation-7 (MCF-7) and… More >

  • Open Access

    ARTICLE

    Epibrassinolide Induces Apoptosis and Inhibits the Migration of Gastric Cancer AGS Cells by Regulating Reactive Oxygen Species-Mediated Signaling Pathways

    Chang Wang1,2,#, Zhi Zhang1,#, Wei Sun1, Quan Quan3, Wenshuang Hou3, Chenghao Jin1,3,4,*

    BIOCELL, Vol.49, No.3, pp. 465-482, 2025, DOI:10.32604/biocell.2025.062155 - 31 March 2025

    Abstract Objectives: Epibrassinolide (EBR) is a steroid hormone with anti-tumor properties. Nevertheless, its potential to inhibit gastric cancer (GC) cells remains unknown. The aim of this research was to examine the effects of EBR on GC cells and to investigate the specific mechanism of EBR. Methods: A cell counting kit-8 (CCK-8) assay was utilized to determine cell survival rates. The investigation of apoptosis, cell cycle progression, and reactive oxygen species (ROS) levels was performed using flow cytometry. To detect cell migration, a wound-healing assay was performed on AGS cells. Furthermore, western blotting assay was utilized to determine… More >

  • Open Access

    REVIEW

    Involvement of ZBP1 in Cancer and Its Potential Therapeutic Target Effects

    Emmanuel Mago1, Jiayi Xu1, Dan Weng1,*, Yan Pan2,*

    BIOCELL, Vol.49, No.3, pp. 381-398, 2025, DOI:10.32604/biocell.2025.059432 - 31 March 2025

    Abstract Z-DNA binding protein 1 (ZBP1) has emerged as a critical player in cancer biology, functioning as a cytosolic nucleic acid sensor that triggers PANoptosis, a form of programmed cell death that integrates pyroptosis, apoptosis, and necroptosis. Although ZBP1 was initially recognized for its role in antiviral defense, recent research has highlighted its importance in the tumor microenvironment (TME), where it is essential for suppressing tumor growth and proliferation. This review explores the multifaceted role of ZBP1 in various cancer types, emphasizing its ability to detect Z-nucleic acids and double-stranded RNAs, leading to the initiation of… More >

  • Open Access

    ARTICLE

    NUDT21 Functions as a Pro-Tumorigenic Gene in Colorectal Cancer by Upregulating the TAZ Protein Expression

    Xiaojian Chen1,2,#, Zhujiang Dai1,#, Qiang Wang3, Wei Chen1, Yun Liu1,*, Zhongchuan Wang1,*

    BIOCELL, Vol.49, No.3, pp. 503-518, 2025, DOI:10.32604/biocell.2025.059286 - 31 March 2025

    Abstract Background: Nudix Hydrolase 21 (NUDT21) is crucial for the regulation of alternative polyadenylation, with its reduced expression frequently resulting in a shortened mRNA 3 untranslated region (UTR), thereby enhancing the protein levels of downstream genes. Although NUDT21 is widely recognized for its tumor-suppressive function in various cancers, its involvement in colorectal cancer (CRC) remains poorly understood. Methods: The expression of NUDT21 in CRC and adjacent normal tissues was analyzed through qPCR, Western blot, and immunohistochemistry (IHC). Additionally, we investigated the correlation between NUDT21 expression and patient prognosis. With Cell Counting Kit-8 assay and Transwell assay, we… More >

  • Open Access

    ARTICLE

    xCViT: Improved Vision Transformer Network with Fusion of CNN and Xception for Skin Disease Recognition with Explainable AI

    Armughan Ali1,2, Hooria Shahbaz2, Robertas Damaševičius3,*

    CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1367-1398, 2025, DOI:10.32604/cmc.2025.059301 - 26 March 2025

    Abstract Skin cancer is the most prevalent cancer globally, primarily due to extensive exposure to Ultraviolet (UV) radiation. Early identification of skin cancer enhances the likelihood of effective treatment, as delays may lead to severe tumor advancement. This study proposes a novel hybrid deep learning strategy to address the complex issue of skin cancer diagnosis, with an architecture that integrates a Vision Transformer, a bespoke convolutional neural network (CNN), and an Xception module. They were evaluated using two benchmark datasets, HAM10000 and Skin Cancer ISIC. On the HAM10000, the model achieves a precision of 95.46%, an… More >

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