JINGDAN QUAN¹, ZIXIN WAN¹, WEI WU², XINYUAN CAO², JIAYUAN QIU², XIAOYE LIU², ZHIWEI ZHANG^1,*

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 >

XIAOBI HUANG¹, CHUNYUAN CHEN², YONGYANG CHEN¹, HONGLIAN ZHOU¹, YONGHUA CHEN¹, ZHONG HUANG¹, YULIU XIE¹, BAIYANG LIU¹, YUDONG GUO¹, ZHIXIONG YANG¹, GUANGHUA CHEN³, WENMEI SU^1,4

Oncology Research, Vol.33, No.5, pp. 1249-1250, 2025, DOI:10.32604/or.2024.061822 - 18 April 2025

Abstract This article has no abstract. More >

MOEKA NAKASHIMA, NAOKO SUGA, AKARI FUKUMOTO, SAYURI YOSHIKAWA, SATORU MATSUDA^*

Oncology Research, Vol.33, No.5, pp. 1007-1017, 2025, DOI:10.32604/or.2025.059657 - 18 April 2025

Abstract Malignant tumors are heterogeneous diseases characterized by uncontrolled cell proliferation, invasion, metastasis, and/or recurrence of their malignancies. In particular, cancer stem cells (CSCs) within these tumors might be responsible for the property of invasiveness and/or therapies-resistance. CSCs are a self-renewing, awfully tumorigenic subpopulation of cancer cells, which are notorious for strong chemoresistance and are frequently responsible the aggravated invasion, metastasis, and/or recurrence. Developing targeting therapies against CSCs, therefore, may be deliberated a more encouraging mission for the greater cancer therapy. Innovation for a more potent anti-CSC treatment has been required as soon as possible.… More > Graphic Abstract

JIAHUI WANG^1,#, HONGCHENG GE^2,3,#, ZHENGYUAN YU^1,*, LINGZHI WU^1,*

Oncology Research, Vol.33, No.5, pp. 1033-1054, 2025, DOI:10.32604/or.2024.058256 - 18 April 2025

Abstract Lung cancer is a common cause of cancer-related death globally. The majority of lung cancer patients initially benefit from chemotherapy and immunotherapy. However, as the treatment cycle progresses and the disease evolves, the emergence of acquired resistance leads to treatment failure. Many researches have shown that non-coding RNAs (ncRNAs) not only influence lung cancer progression but also act as potential mediators of immunotherapy and chemotherapy resistance in lung cancer, mediating drug resistance by regulating multiple targets and pathways. In addition, the regulation of immune response by ncRNAs is dualistic, forming a microenvironment for inhibits/promotes More >

Omar Alqahtani, Mohamed Ghouse^*, Asfia Sabahath, Omer Bin Hussain, Arshiya Begum

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2221-2244, 2025, DOI:10.32604/cmc.2025.061977 - 16 April 2025

Abstract This paper introduces a novel method for medical image retrieval and classification by integrating a multi-scale encoding mechanism with Vision Transformer (ViT) architectures and a dynamic multi-loss function. The multi-scale encoding significantly enhances the model’s ability to capture both fine-grained and global features, while the dynamic loss function adapts during training to optimize classification accuracy and retrieval performance. Our approach was evaluated on the ISIC-2018 and ChestX-ray14 datasets, yielding notable improvements. Specifically, on the ISIC-2018 dataset, our method achieves an F1-Score improvement of +4.84% compared to the standard ViT, with a precision increase of +5.46% More >

Oncology Research Editorial Office

Oncology Research, Vol.33, No.4, pp. 989-989, 2025, DOI:10.32604/or.2024.056912 - 19 March 2025

Abstract This article has no abstract. More >

HENG ZHANG^1,#, XIAO YANG^2,#, YUJIN GUO³, HAIBO ZHAO⁴, PEI JIANG^5,*, QING-QING YU^3,*

Oncology Research, Vol.33, No.4, pp. 837-849, 2025, DOI:10.32604/or.2024.053882 - 19 March 2025

Abstract As living conditions improve and diagnostic capabilities advance, the incidence of tumors has increased, with cancer becoming a leading cause of death worldwide. Surgery, chemotherapy, and radiotherapy are the most common treatments. Despite advances in treatment options, chemotherapy remains a routine first-line treatment for most tumors. Due to the continuous and extensive use of chemotherapy drugs, tumor resistance often develops, becoming a significant cause of treatment failure and poor prognosis. Recent research has increasingly focused on how long stranded non-coding RNAs (LncRNAs) influence the development of malignant tumors and drug resistance by regulating gene expression More >

Sang-Hoon Choi¹, Ki-Woong Park^2,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4021-4039, 2025, DOI:10.32604/cmc.2025.061267 - 06 March 2025

Abstract The proliferation of Internet of Things (IoT) devices has established edge computing as a critical paradigm for real-time data analysis and low-latency processing. Nevertheless, the distributed nature of edge computing presents substantial security challenges, rendering it a prominent target for sophisticated malware attacks. Existing signature-based and behavior-based detection methods are ineffective against the swiftly evolving nature of malware threats and are constrained by the availability of resources. This paper suggests the Genetic Encoding for Novel Optimization of Malware Evaluation (GENOME) framework, a novel solution that is intended to improve the performance of malware detection and… More >

Wei Liu¹, Sen Liu^2,3,*, Yinchao He², Jiaojiao Wang¹, Yu Gu¹

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4863-4880, 2025, DOI:10.32604/cmc.2025.059295 - 06 March 2025

Abstract To address the issues of slow diagnostic speed, low accuracy, and poor generalization performance in traditional rolling bearing fault diagnosis methods, we propose a rolling bearing fault diagnosis method based on Markov Transition Field (MTF) image encoding combined with a lightweight convolutional neural network that integrates a Convolutional Block Attention Module (CBAM-LCNN). Specifically, we first use the Markov Transition Field to convert the original one-dimensional vibration signals of rolling bearings into two-dimensional images. Then, we construct a lightweight convolutional neural network incorporating the convolutional attention module (CBAM-LCNN). Finally, the two-dimensional images obtained from MTF mapping… More >

Eunsam Kim¹, Choonhwa Lee^2,*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2555-2581, 2025, DOI:10.32604/cmc.2025.059682 - 17 February 2025

Abstract Personal video recorders (PVRs) have altered the way users consume television (TV) content by allowing users to record programs and watch them at their convenience, overcoming the constraints of live broadcasting. However, standalone PVRs are limited by their individual storage capacities, restricting the number of programs they can store. While online catch-up TV services such as Hulu and Netflix mitigate this limitation by offering on-demand access to broadcast programs shortly after their initial broadcast, they require substantial storage and network resources, leading to significant infrastructural costs for service providers. To address these challenges, we propose… More >