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  • Open Access

    REVIEW

    Dysregulated PI3K/AKT signaling in oral squamous cell carcinoma: The tumor microenvironment and epigenetic modifiers as key drivers

    VINOTHKUMAR VEERASAMY1, VEERAVARMAL VEERAN2, SIDDAVARAM NAGINI1,3,*

    Oncology Research, Vol.33, No.8, pp. 1835-1860, 2025, DOI:10.32604/or.2025.064010 - 18 July 2025

    Abstract The phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) pathway is one of the most frequently dysregulated signaling networks in oral squamous cell carcinoma (OSCC). Although the tumor microenvironment (TME) and epigenetic modifiers are recognized to play a pivotal role in aberrant activation of the PI3K/AKT pathway in OSCC, the available evidence is fragmentary and a comprehensive analysis is warranted. This review evaluates the intricate mechanisms by which various components of the TME facilitate proliferation, apoptosis evasion, invasion, migration, angiogenesis, metastasis, as well as therapy resistance in OSCC through activation of PI3K/AKT signalling. The review has also More >

  • Open Access

    ARTICLE

    Linguistic Steganography Based on Sentence Attribute Encoding

    Lingyun Xiang*, Xu He, Xi Zhang, Chengfu Ou

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2375-2389, 2025, DOI:10.32604/cmc.2025.065804 - 03 July 2025

    Abstract Linguistic steganography (LS) aims to embed secret information into normal natural text for covert communication. It includes modification-based (MLS) and generation-based (GLS) methods. MLS often relies on limited manual rules, resulting in low embedding capacity, while GLS achieves higher embedding capacity through automatic text generation but typically ignores extraction efficiency. To address this, we propose a sentence attribute encoding-based MLS method that enhances extraction efficiency while maintaining strong performance. The proposed method designs a lightweight semantic attribute analyzer to encode sentence attributes for embedding secret information. When the attribute values of the cover sentence differ… More >

  • Open Access

    ARTICLE

    Semantic Secure Communication Based on the Joint Source-Channel Coding

    Yifeng Lin1,2,#, Yuer Yang1,2,3,#, Jianxiang Xie4, Tong Ji5, Peiya Li2,*

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2865-2882, 2025, DOI:10.32604/cmc.2025.065362 - 03 July 2025

    Abstract Semantic secure communication is an emerging field that combines the principles of source-channel coding with the need for secure data transmission. It is of great significance in modern communications to protect the confidentiality and privacy of sensitive information and prevent information leaks and malicious attacks. This paper presents a novel approach to semantic secure communication through the utilization of joint source-channel coding, which is based on the design of an automated joint source-channel coding algorithm and an encryption and decryption algorithm based on semantic security. The traditional and state-of-the-art joint source-channel coding algorithms are selected More >

  • Open Access

    ARTICLE

    Interpolation-Based Reversible Data Hiding in Encrypted Audio with Scalable Embedding Capacity

    Yuan-Yu Tsai1,*, Alfrindo Lin1, Wen-Ting Jao1, Yi-Hui Chen2,*

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 681-697, 2025, DOI:10.32604/cmc.2025.064370 - 09 June 2025

    Abstract With the rapid expansion of multimedia data, protecting digital information has become increasingly critical. Reversible data hiding offers an effective solution by allowing sensitive information to be embedded in multimedia files while enabling full recovery of the original data after extraction. Audio, as a vital medium in communication, entertainment, and information sharing, demands the same level of security as images. However, embedding data in encrypted audio poses unique challenges due to the trade-offs between security, data integrity, and embedding capacity. This paper presents a novel interpolation-based reversible data hiding algorithm for encrypted audio that achieves… More >

  • Open Access

    ARTICLE

    Context Encoding Deep Neural Network Driven Spectral Domain 3D-Optical Coherence Tomography Imaging in Purtscher Retinopathy Diagnosis

    Anand Deva Durai Chelladurai1, Theena Jemima Jebaseeli2, Omar Alqahtani1, Prasanalakshmi Balaji1,*, Jeniffer John Simon Christopher3

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1101-1122, 2025, DOI:10.32604/cmc.2025.062278 - 09 June 2025

    Abstract Optical Coherence Tomography (OCT) provides cross-sectional and three-dimensional reconstructions of the target tissue, allowing precise imaging and quantitative analysis of individual retinal layers. These images, based on optical inhomogeneities, reveal intricate cellular structures and are vital for tasks like retinal segmentation. The proposed study uses OCT images to identify significant differences in peripapillary retinal nerve fiber layer thickness. Incorporating spectral-domain analysis of OCT images significantly enhances the evaluation of Purtcher Retinopathy. To streamline this process, the study introduces a Context Encoding Deep Neural Network (CEDNN), which eliminates the time-consuming manual segmentation process while improving the… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Lip-Reading for Vocal Impaired Patient Rehabilitation

    Chiara Innocente1,*, Matteo Boemio2, Gianmarco Lorenzetti2, Ilaria Pulito2, Diego Romagnoli2, Valeria Saponaro2, Giorgia Marullo1, Luca Ulrich1, Enrico Vezzetti1

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1355-1379, 2025, DOI:10.32604/cmes.2025.063186 - 30 May 2025

    Abstract Lip-reading technology, based on visual speech decoding and automatic speech recognition, offers a promising solution to overcoming communication barriers, particularly for individuals with temporary or permanent speech impairments. However, most Visual Speech Recognition (VSR) research has primarily focused on the English language and general-purpose applications, limiting its practical applicability in medical and rehabilitative settings. This study introduces the first Deep Learning (DL) based lip-reading system for the Italian language designed to assist individuals with vocal cord pathologies in daily interactions, facilitating communication for patients recovering from vocal cord surgeries, whether temporarily or permanently impaired. To… More >

  • Open Access

    RETRACTION

    Retraction: Overexpression of the Long Noncoding RNA FOXD2-AS1 Promotes Cisplatin Resistance in Esophageal Squamous Cell Carcinoma Through the miR-195/Akt/mTOR Axis

    Oncology Research Editorial Office

    Oncology Research, Vol.33, No.6, pp. 1509-1509, 2025, DOI:10.32604/or.2024.062048 - 29 May 2025

    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    Decoding CD24: Roles of chemoradiotherapy resistance and potential as therapeutic targets

    YU HONG1,#, YUNXIANG TANG1,#, WENYAN ZHOU1, HANYUE LUO2, LINLIN BU2, HUI QIU3,*, QIUJI WU3,*

    Oncology Research, Vol.33, No.6, pp. 1347-1361, 2025, DOI:10.32604/or.2025.059327 - 29 May 2025

    Abstract As a rising immune checkpoint on tumor cells, CD24 is closely related to tumorigenesis and progression. CD24 can directly regulate the malignant behavior of tumor cells and indirectly inhibit the function of immune cells in the meantime, which promotes the immune escape of tumor cells, induces cancer invasion and causes poor prognosis. The basic principle of cancer treatment is to induce cell death and inhibit cell survival. Resistance to chemoradiotherapy is a critical challenge in oncology, which limits the effectiveness of anti-cancer treatments. Many studies have shown a strong association between CD24 and chemoradiotherapy More >

  • Open Access

    ARTICLE

    Hypoxia-induced exosomal lncRNA-PVT1 as a biomarker and mediator of EMT in hepatocellular carcinoma

    LIBO LIANG1, XINYI WANG2,3,4, YUPING ZENG2,3,4, HAO CHEN2,3,4, WEN ZHOU1, HONGYING MU2,3,4, GA LIAO5,6,*

    Oncology Research, Vol.33, No.6, pp. 1405-1421, 2025, DOI:10.32604/or.2024.056708 - 29 May 2025

    Abstract Objectives: Exosomal long noncoding RNAs (lncRNAs) might facilitate epithelial–mesenchymal transition (EMT) in liver cancer after transarterial chemoembolization (TACE), thereby enhancing tumor cell invasiveness and migration. This study investigated the prognostic role of plasma exosomal long noncoding RNA-plasmacytoma variant translocation 1 (lncRNA-PVT1) in TACE treated hepatocellular carcinoma (HCC). Methods: Plasma exosomal lncRNA-PVT1 was evaluated via qPCR before and after TACE. Hepatoma cell behavior was investigated in different HCC cell lines. A lncRNA-PVT1 plasmid was synthesized and overexpressed, and si-lncRNA PVT1 was transfected into poorly invasive cells to reveal its influence on cell characteristics. The lncRNA-PVT1–FoxM1 interaction… More > Graphic Abstract

    Hypoxia-induced exosomal lncRNA-PVT1 as a biomarker and mediator of EMT in hepatocellular carcinoma

  • Open Access

    REVIEW

    Classical biomarkers and non-coding RNAs associated with diagnosis and treatment in gastric cancer

    JINGDAN QUAN1, ZIXIN WAN1, WEI WU2, XINYUAN CAO2, JIAYUAN QIU2, XIAOYE LIU2, ZHIWEI ZHANG1,*

    Oncology Research, Vol.33, No.5, pp. 1069-1089, 2025, DOI:10.32604/or.2025.063005 - 18 April 2025

    Abstract One of the most prevalent malignant tumors worldwide, stomach cancer still has a high incidence and fatality rate in China, and the number of young people developing early-onset gastric cancer is steadily increasing. The 5-year survival rate of stomach cancer is typically 30%–35%, the prognosis is bad, the patients’ quality of life is low, and the progression of advanced gastric cancer cannot be effectively managed despite the use of surgical surgery, chemotherapy, and other medicines. We urgently need molecular biomarkers with high specificity and sensitivity to increase the early gastric cancer detection rate, extend patient… More >

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