YARU DU^1,2,#, ZHIHUI PEI^1,3,#, SHUQIN HU⁴, CHUANWEN LIAO¹, SHUHAO LIU^1,*

Oncology Research, Vol.33, No.2, pp. 309-325, 2025, DOI:10.32604/or.2024.058273 - 16 January 2025

Abstract Objectives: KH-type splicing regulatory protein (KHSRP) is an RNA-binding protein involved in several cellular processes, including nuclear splicing, mRNA localization, and cytoplasmic degradation. While KHSRP’s role has been studied in other cancers, its specific involvement in gastric cancer remains poorly understood. This study aims to explore KHSRP expression in gastric cancer and its potential effects on tumor progression and immune response. Methods: KHSRP expression in gastric cancer tissues and normal tissues was analyzed using data from The Cancer Genome Atlas (TCGA) database. The correlation between KHSRP expression, patient survival, and immune response was also assessed.… More >

NAIXIONG PENG, YUEFENG CAI, DONG CHEN, LING DENG, ZEJIAN ZHANG, WEI LI^*

Oncology Research, Vol.33, No.2, pp. 347-356, 2025, DOI:10.32604/or.2024.056039 - 16 January 2025

Abstract Background: Clear cell renal carcinoma (ccRCC), the leading histological subtype of RCC, lacks any targeted therapy options. Although some studies have shown that early growth response factor 1 (EGR1) has a significant role in cancer development and progression, its role and underlying mechanisms in ccRCC remain poorly understood. Methods: The Cancer Genome Atlas (TCGA) database was utilized to examine the expression of EGR1 in ccRCC. The expression of EGR1 in 55 ccRCC tissues was evaluated using immunohistochemistry. The link between EGR1 expression and clinicopathological variables was examined through an analysis. Gain-of-function assays were employed to… More >

MAGDALENA WILCZAK^1,2,#, MAGDALENA SURMAN^1,#,*, MAłGORZATA PRZYBYłO^1,*

Oncology Research, Vol.33, No.2, pp. 245-262, 2025, DOI:10.32604/or.2024.055449 - 16 January 2025

Abstract Angiogenesis, the expansion of pre-existing vascular networks, is crucial for normal organ growth and tissue repair, but is also involved in various pathologies, including inflammation, ischemia, diabetes, and cancer. In solid tumors, angiogenesis supports growth, nutrient delivery, waste removal, and metastasis. Tumors can induce angiogenesis through proangiogenic factors including VEGF, FGF-2, PDGF, angiopoietins, HGF, TNF, IL-6, SCF, tryptase, and chymase. This balance is disrupted in tumors, and extracellular vesicles (EVs) contribute to this by transferring proangiogenic factors and increasing their expression in endothelial cells (ECs). Malignant melanoma, a particular type of skin cancer, accounts for More >

EDMUND CHEUNG SO^1,2,#, LOUIS W. C. CHOW^3,#, CHIN-MIN CHUANG⁴, CING YU CHEN^5,6, CHENG-HSUN WU⁷, LIAN-RU SHIAO⁸, TING-TSZ OU⁹, KAR-LOK WONG¹⁰, YUK-MAN LEUNG^8,*, YI-PING HUANG^8,*

Oncology Research, Vol.33, No.2, pp. 397-406, 2025, DOI:10.32604/or.2024.052743 - 16 January 2025

Abstract Objectives: Mitochondrial Ca²⁺ uniporter (MCU) provides a Ca²⁺ influx pathway from the cytosol into the mitochondrial matrix and a moderate mitochondrial Ca²⁺ rise stimulates ATP production and cell growth. MCU is highly expressed in various cancer cells including breast cancer cells, thereby increasing the capacity of mitochondrial Ca²⁺ uptake, ATP production, and cancer cell proliferation. The objective of this study was to examine MCU inhibition as an anti-cancer mechanism. Methods: The effects of MCU-i4, a newly developed MCU inhibitor, on cell viability, apoptosis, cytosolic Ca²⁺, mitochondrial Ca²⁺ and potential, glycolytic rate, generation of ATP, and reactive oxygen species,… More >

MARTA SANTOS¹, DIANA MARTINS^1,2,3,4, FERNANDO MENDES^1,2,3,4,5,*

Oncology Research, Vol.33, No.2, pp. 263-281, 2025, DOI:10.32604/or.2024.052207 - 16 January 2025

Abstract Background: Gastric Cancer (GC) is the 5th most prevalent and 4th most deadly neoplasm globally. Immunotherapy has emerged as a promising treatment approach in GC, potentially improving positive clinical outcomes while addressing the limitations of conventional therapies. GC immunotherapy modalities consist of adoptive cell therapy (ACT), cancer vaccines, and immune checkpoint inhibitors (ICI). Objectives: This systematic review aims to provide an overview of the advances in immune-based therapeutic approaches in GC, highlighting the potential of this therapy as a strategy for GC treatment. Methods: Key studies investigating several immunotherapeutic agents and combination therapies were searched in… More > Graphic Abstract

TIANYUN ZHU^1,2,#, CUNYAN ZHAO^1,2,#, RUI GONG^1,2, AO QIAN¹, XIAOSHU WANG¹, FANGHUI LU², GANG HUO¹, LIANGJUN QIAO³, SONG CHEN^1,*

Oncology Research, Vol.33, No.2, pp. 431-442, 2025, DOI:10.32604/or.2024.050794 - 16 January 2025

Abstract Background: PLK3, which played an important role in cell cycle progression and stress response, was identified as highly expressed in various carcinomas. However, the functions, molecular characteristics, and prognostic value of PLK3 in glioma remained unexplored. Methods: We analyzed PLK3 expression in glioma samples from multiple databases. Both overexpression and knockdown of Plk3 were performed to investigate tumor cell growth in glioma, and the transplanted glioma mouse model demonstrated the role of Plk3 on tumor progression. Immunohistochemistry was conducted to detect PLK3 expression and immune cell infiltration. The trans-well assay for PLK3 on the immune… More >

TANVI VIJAY GUJARAN^1,#, VIGNESH BALAJI EASWARAN^1,#, RUNALI SANKHE¹, PUGAZHANDHI BAKTHAVATCHALAM^2,3, HERMAN SUNIL DSOUZA⁴, K. SREEDHARA RANGANATH PAI^1,*

Oncology Research, Vol.33, No.2, pp. 381-395, 2025, DOI:10.32604/or.2024.049538 - 16 January 2025

Abstract Background: To date, there is no effective cure for the highly malignant brain tumor glioblastoma (GBM). GBM is the most common, aggressive central nervous system tumor (CNS). It commonly originates in glial cells such as microglia, oligodendroglia, astrocytes, or subpopulations of cancer stem cells (CSCs). Glucose plays an important role in the, which energy metabolism of normal and cancer cells, but cancer cells exhibit an increased demand for glucose is required for their differentiation and proliferation. The main aim of this study is to explore the anti-cancer efficacy of the ketogenic diet against GBM. Also,… More >

Yi Wang¹, Bing Wang², Changwen Li², Feng Zheng¹, Yong Liu², Shaohua He^3,*

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 385-398, 2025, DOI:10.32604/sdhm.2024.054761 - 15 January 2025

Abstract Complex bridge structures designed and constructed by humans often necessitate extensive on-site execution, which carries inherent risks. Consequently, a variety of engineering practices are employed to monitor bridge construction. This paper presents a case study of a large-span prestressed concrete (PC) variable-section continuous girder bridge in China, proposing a feedback system for construction monitoring and establishing a finite element (FE) analysis model for the entire bridge. The alignment of the completed bridge adheres to the initial design expectations, with maximum displacement and pre-arch differences from the ideal state measuring 6.39 and 17.7 mm, respectively, which More >

Yongfeng Tai¹, Xingyu Yan², Xiangyi Geng³, Lin Mu⁴, Mingshun Jiang², Faye Zhang^2,*

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 365-383, 2025, DOI:10.32604/sdhm.2024.053998 - 15 January 2025

Abstract The remaining useful life prediction of rolling bearing is vital in safety and reliability guarantee. In engineering scenarios, only a small amount of bearing performance degradation data can be obtained through accelerated life testing. In the absence of lifetime data, the hidden long-term correlation between performance degradation data is challenging to mine effectively, which is the main factor that restricts the prediction precision and engineering application of the residual life prediction method. To address this problem, a novel method based on the multi-layer perception neural network and bidirectional long short-term memory network is proposed. Firstly,… More >

Tabassum Kanwal¹, Saif Ur Rehman^1,*, Azhar Imran², Haitham A. Mahmoud³

Computer Systems Science and Engineering, Vol.49, pp. 185-212, 2025, DOI:10.32604/csse.2024.056535 - 10 January 2025

Abstract This study presents an energy-efficient Internet of Things (IoT)-based wireless sensor network (WSN) framework for autonomous data validation in remote environmental monitoring. We address two critical challenges in WSNs: ensuring data reliability and optimizing energy consumption. Our novel approach integrates an artificial neural network (ANN)-based multi-fault detection algorithm with an energy-efficient IoT-WSN architecture. The proposed ANN model is designed to simultaneously detect multiple fault types, including spike faults, stuck-at faults, outliers, and out-of-range faults. We collected sensor data at 5-minute intervals over three months, using temperature and humidity sensors. The ANN was trained on 70%… More >