Lv Ling^1,#, Minying Lu^2,#, Ling Ye³, Yuanhang Chen², Sheng Lin², Jun Yang², Yu Rong^2,*, Guixiong Wu^4,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069889 - 30 December 2025

Abstract Background: A significant proportion of patients still cannot benefit from existing targeted therapies and immunotherapies, making the search for new treatment strategies extremely urgent. In this study, we combined integrate public data analysis with experimental validation to identify novel prognostic biomarkers and therapeutic targets for lung adenocarcinoma (LUAD). Methods: We analyzed RNA and protein databases to assess the expression levels of cytochrome C oxidase 5B (COX5B) in LUAD. Several computational algorithms were employed to investigate the relationship between COX5B and immune infiltration in LUAD. To further elucidate the role of COX5B in LUAD, we utilized… More > Graphic Abstract

Yun Wang^1,2,#, Xin-Yu Li^1,3,#, Sheng-Li Wu^1,3, Pianchou Gongpan¹, Da-Hong Li², Chang-An Geng^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2563-2574, 2025, DOI:10.32604/phyton.2025.068185 - 29 August 2025

Abstract Twelve lignans (1–12) isolated from Amomum tsao-ko leaves were evaluated for the inhibitory effects against α-glucosidase and PTP1B. Compounds 1−4 and 10 showed inhibition on α-glucosidase with inhibitory ratios ranging from 53.8% to 90.0%, while compound 10 demonstrated 56.1% inhibition on PTP1B at 200 μM. Notably, erythro-5-methoxy-dadahol A (2) and threo-5-methoxy-dadahol A (3) displayed obvious inhibition on α-glucosidase with IC₅₀ values of 33.3 μM and 22.1 μM, significantly outperforming acarbose (IC₅₀ = 344.0 μM). Kinetic study revealed that compound 3 maintained a mixed-type mode, engaging with both free enzyme and enzyme-substrate complex via non-competitive and uncompetitive mechanisms. Molecular docking simulations further clarified its More >

Pallabi Biswas^1,#, Samarendra Nath Sur^2,#,*, Rabindranath Bera³, Agbotiname Lucky Imoize⁴, Chun-Ta Li^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 83-146, 2025, DOI:10.32604/cmes.2025.067724 - 31 July 2025

Abstract Automotive radar has emerged as a critical component in Advanced Driver Assistance Systems (ADAS) and autonomous driving, enabling robust environmental perception through precise range-Doppler and angular measurements. It plays a pivotal role in enhancing road safety by supporting accurate detection and localization of surrounding objects. However, real-world deployment of automotive radar faces significant challenges, including mutual interference among radar units and dense clutter due to multiple dynamic targets, which demand advanced signal processing solutions beyond conventional methodologies. This paper presents a comprehensive review of traditional signal processing techniques and recent advancements specifically designed to address… More > Graphic Abstract

YU ZHANG^1,2, QINGKUN WANG², YUE HAN², JUNJIE PIAO^2,*, XIUYING JIN^1,2,*

Oncology Research, Vol.33, No.8, pp. 1933-1945, 2025, DOI:10.32604/or.2025.063395 - 18 July 2025

Abstract Background: Colorectal adenocarcinoma (COAD) is one of the most common gastrointestinal malignancies. There is a pressing need to recognize reliable biomarkers that can improve diagnostic accuracy, predict prognosis, and serve as effective molecular targets. Glutathione peroxidase 4 (GPX4) is an important antioxidant protein. Evidence demonstrates that abnormal expression of GPX4 is related to cancer initiation and progression. However, the role of GPX4 in COAD remains unclear. Methods: We employed bioinformatics analysis and conducted subsequent validation of biological processes, including cell counting kit-8 assay (CCK-8), colony formation assay, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), 5-ethynyl-2′-deoxyuridine assay… More >

Guo-Zhi Xu^1,2, Han-Yang Guan¹, Yan-Guan Guo¹, Yi-Ran Zhang¹, Jing-Hua Pan¹, Simin Luo³, Hui Ding¹, Yunlong Pan^1,*, Qi Yao^4,*

Oncology Research, Vol.33, No.8, pp. 1947-1967, 2025, DOI:10.32604/or.2025.060440 - 18 July 2025

Abstract Background: Tumor angiogenesis is related to solid tumor occurrence. Ubiquitin-specific peptidase 13 (USP13) is a deubiquitinating enzyme with a pivotal effect on tumor proliferation, metastasis, and tumorigenesis. Nonetheless, its effect on colorectal cancer (CRC) angiogenesis remains poorly understood. Methods: Human umbilical vein endothelial cells (HUVECs) and CRC cells were cultivated, followed by USP13 knockdown/overexpression using shRNA lentiviral vectors or plasmids. Conditioned media (CM) from treated CRC cells were collected to assess HUVEC migration, invasion, and tube formation. Phosphatase and tensin homolog (PTEN) overexpression and recombinant vascular endothelial growth factor A (VEGFA) rescue experiments were performed.… More >

CHENG CHENG^1,2,3, CHAO SHI^1,2, SHANG WU^1,2, WEIXING WU³, JINGPING LI^1,2, SINUO GAO^1,2, MENG HAN³, YIMIN WANG³, XIANGMEI ZHANG^2,4,*, YUNJIANG LIU^1,2,*

Oncology Research, Vol.33, No.7, pp. 1633-1648, 2025, DOI:10.32604/or.2025.061637 - 26 June 2025

Abstract Objectives: While programmed cell death 1 (PD-1) inhibitors have improved cancer treatment, the function and mechanisms of programmed cell death ligand 1 (PD-L1), particularly when expressed by cancer cells, remain unclear. This study aims to explore the role of PD-L1 within breast cancer cells and identify key targets for future immunotherapy. Methods: RNA-seq was performed on breast cancer cells with silenced PD-L1 to screen for differentially expressed genes, followed by bioinformatics analysis. Clinical specimens from breast cancer patients undergoing primary surgery without preoperative treatment were collected, along with in vitro analysis to validate the potential mechanism. Results:… More >

Rongwei Yu¹, Jie Yin^1,*, Jingyi Xiang¹, Qiyun Shao², Lina Wang¹

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 365-391, 2025, DOI:10.32604/cmc.2025.064438 - 09 June 2025

Abstract With the emergence of new attack techniques, traffic classifiers usually fail to maintain the expected performance in real-world network environments. In order to have sufficient generalizability to deal with unknown malicious samples, they require a large number of new samples for retraining. Considering the cost of data collection and labeling, data augmentation is an ideal solution. We propose an optimized noise-based traffic data augmentation system, ONTDAS. The system uses a gradient-based searching algorithm and an improved Bayesian optimizer to obtain optimized noise. The noise is injected into the original samples for data augmentation. Then, an More >

Tehreem Fatima¹, Kewen Xia^1,*, Wenbiao Yang², Qurat Ul Ain¹, Poornima Lankani Perera¹

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 811-826, 2025, DOI:10.32604/cmc.2025.063686 - 09 June 2025

Abstract The rising prevalence of diabetes in modern society underscores the urgent need for precise and efficient diagnostic tools to support early intervention and treatment. However, the inherent limitations of existing datasets, including significant class imbalances and inadequate sample diversity, pose challenges to the accurate prediction and classification of diabetes. Addressing these issues, this study proposes an innovative diabetes prediction framework that integrates a hybrid Convolutional Neural Network-Bidirectional Gated Recurrent Unit (CNN-BiGRU) model for classification with Adaptive Synthetic Sampling (ADASYN) for data augmentation. ADASYN was employed to generate synthetic yet representative data samples, effectively mitigating class… More >

JIA CHEN^1,2, FEI JIANG¹, KAIYI NIU³, HAODONG ZHAO², LI LI^1,*, HONGZHU YU^1,*

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 >

Deen Bandhu Dimri¹, Manisha Nigam^1,*, Naresh Singh¹, Shilpa Semwal¹, Marcello Iriti^2,3,*, Abhay Prakash Mishra⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 1007-1027, 2025, DOI:10.32604/phyton.2025.061270 - 31 March 2025

Abstract Cornus capitata, commonly known as the Himalayan strawberry, is a dogwood species from the family Cornaceae. Dogwood plants have been used extensively to practice conventional medicine due to their biological activities; however, the mechanisms behind these activities, particularly in C. capitata, remain largely unexplored. This study focuses on the preliminary phytochemical screening, antioxidant activity, anti-diabetic potential, and antimicrobial profiling of different extracts (i.e., leaves, bark, and fruit) from C. capitata to evaluate its potential pharmaceutical and medicinal applications. The in-vitro antioxidant activity was evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging assay, Ferric-reducing antioxidant power (FRAP) assay, and Superoxide Anion Scavenging assay.… More > Graphic Abstract