Meng Cao, Rundong Zhang, Anlan Hong, Shanyuan Ye, Zequn Qiu, Dongqing Li, Tong Lin^*, Yan Wang^*

Oncology Research, Vol.33, No.9, pp. 2507-2527, 2025, DOI:10.32604/or.2025.064780 - 28 August 2025

Abstract Introduction: Acral melanoma (AM) is the predominant subtype of cutaneous melanoma in Asian populations, characterized by more aggressive clinical features and limited neoadjuvant therapy response. Centrosomal protein 55 kDa (CEP55) has been implicated in the pathogenesis of various malignancies, but its role in AM remains undefined. Methods: CEP55 expression in melanoma tissues and cell lines was analyzed by RT-qPCR, Western blotting, and immunohistochemistry (IHC). Databases (GEPIA, Sangerbox, Kaplan-Meier plotter, and TIMER) were used to analyze the expression of CEP55 and its correlation with clinical data of melanoma patients. Functional assays were conducted in vitro and in vivo.… More >

Asad Iqbal¹, Mehdi Hussain^1,*, Qaiser Riaz¹, Madiha Khalid¹, Rafia Mumtaz¹, Ki-Hyun Jung^2,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1693-1714, 2025, DOI:10.32604/cmc.2025.064260 - 29 August 2025

Abstract Ransomware, particularly crypto-ransomware, remains a significant cybersecurity challenge, encrypting victim data and demanding a ransom, often leaving the data irretrievable even if payment is made. This study proposes an early detection approach to mitigate such threats by identifying ransomware activity before the encryption process begins. The approach employs a two-tiered approach: a signature-based method using hashing techniques to match known threats and a dynamic behavior-based analysis leveraging Cuckoo Sandbox and machine learning algorithms. A critical feature is the integration of the most effective Application Programming Interface call monitoring, which analyzes system-level interactions such as file More >

Muhammad Sibtain¹, Mehdi Hussain^1,*, Qaiser Riaz¹, Sana Qadir¹, Naveed Riaz¹, Ki-Hyun Jung^2,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5177-5199, 2025, DOI:10.32604/cmc.2025.066198 - 30 July 2025

Abstract Ransomware is malware that encrypts data without permission, demanding payment for access. Detecting ransomware on Android platforms is challenging due to evolving malicious techniques and diverse application behaviors. Traditional methods, such as static and dynamic analysis, suffer from polymorphism, code obfuscation, and high resource demands. This paper introduces a multi-stage approach to enhance behavioral analysis for Android ransomware detection, focusing on a reduced set of distinguishing features. The approach includes ransomware app collection, behavioral profile generation, dataset creation, feature identification, reduction, and classification. Experiments were conducted on ∼3300 Android-based ransomware samples, despite the challenges posed… More >

Chuncheng Liu¹, Xiaohan Liu¹, Ziqi Li¹, Yanruoxue Wei¹, Bangdong Liu², Peng Zhu², Yukun Liu^1,2,*, Ran Zhao^1,2,*

Oncology Research, Vol.33, No.8, pp. 2085-2105, 2025, DOI:10.32604/or.2025.065739 - 18 July 2025

Abstract Background: VPS37A (VPS37A subunit of ESCRT-I), a component of the ESCRT-I (endosomal sorting complex required for transport I) complex, mediates vesicular trafficking through sorting endocytic ubiquitinated cargos into multivesicular bodies (MVBs). Although accumulating evidence indicates that VPS37A deficiency occurs in numerous malignancies and exerts tumor-suppressive effects during cancer progression, its functional significance in colorectal cancer (CRC) pathogenesis remains poorly characterized. Therefore, this study aims to further investigate the functional and molecular mechanisms by which VPS37A downregulation contributes to malignant biological phenotypes in CRC, with a specific focus on how its dysregulation affects cell death pathways.… More > Graphic Abstract

Siti Ramadhani^1,2, Lestari Handayani², Theam Foo Ng³, Sumayyah Dzulkifly¹, Roziana Ariffin^4,5, Haldi Budiman⁶, Shir Li Wang^1,7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2711-2765, 2025, DOI:10.32604/cmes.2025.062709 - 30 June 2025

Abstract In recent years, feature selection (FS) optimization of high-dimensional gene expression data has become one of the most promising approaches for cancer prediction and classification. This work reviews FS and classification methods that utilize evolutionary algorithms (EAs) for gene expression profiles in cancer or medical applications based on research motivations, challenges, and recommendations. Relevant studies were retrieved from four major academic databases–IEEE, Scopus, Springer, and ScienceDirect–using the keywords ‘cancer classification’, ‘optimization’, ‘FS’, and ‘gene expression profile’. A total of 67 papers were finally selected with key advancements identified as follows: (1) The majority of papers… More > Graphic Abstract

Yuhe Wang^1,2, Haijun Sun³, Yaqiong Hao^2,4, Xiancan Zhu¹, Ju Min^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1735-1750, 2025, DOI:10.32604/phyton.2025.063868 - 27 June 2025

Abstract Over the past three decades, the expansion of intensive vegetable farming in southern China has led to excessive nitrogen (N) and phosphorus (P) fertilizer application, causing substantial N and P runoff losses. This study investigated four major vegetable production regions in southern China—the upper reaches of the Yangtze River (U-YR), the middle lower reaches of the Yangtze River (ML-YR), the Southeast Coast (SC), and the Pearl River basin (PR)—analyzing 175 published articles to characterize spatiotemporal patterns of N and P fertilizer applications and associated runoff losses from 1992 to 2021. The result showed that the… More >

LICHEN XU^1,2, PAN ZHANG³, GUIQI ZHANG², ZHAOLIANG SHEN⁴, XIZHUANG BAI^1,3,*

Oncology Research, Vol.33, No.7, pp. 1797-1798, 2025, DOI:10.32604/or.2024.061279 - 26 June 2025

Abstract This article has no abstract. More >

LINGJIE XU¹, YIQIN XIA¹, QIN QIN¹, GUIQUN WANG¹, KAI TAO², WEI WEI^1,*

Oncology Research, Vol.33, No.7, pp. 1649-1666, 2025, DOI:10.32604/or.2025.056176 - 26 June 2025

Abstract Background: The centrosome, a crucial cellular structure involved in the mitotic process of eukaryotic cells, plays a significant role in tumor progression by regulating the growth and differentiation of neoplastic cells. This makes the centrosome a promising target for therapeutic strategies in cancer treatment. Methods: Utilizing data from the TCGA database, we identified centrosome-related genes and constructed a prognostic model for 518 lung adenocarcinoma patients. Prognosis-associated genes were initially screened using univariate Cox regression, with overfitting minimized by applying LASSO regression to remove collinearity. Finally, a set of 12 genes was selected through multivariable Cox… More >

JUNPING LIU^1,2, FEIRAN GAO¹, DANTING WANG², RUIXUE ZHOU², CHUNYAN HUANG^2,*

Oncology Research, Vol.33, No.6, pp. 1323-1334, 2025, DOI:10.32604/or.2024.059113 - 29 May 2025

Abstract Exosomes (EXOs) play an important role in the progression of breast cancer. EXOs, with a diameter of approximately 100 nm, have a simple structure but diverse functions, and can affect the development of breast cancer through signal transduction and molecular transfer, etc. Angiogenesis provides nutrients for the growth and metastasis of breast cancer and is a crucial part of tumor progression. The mechanism of tumor angiogenesis is complex. The VEGF/VEGFR pathway promotes angiogenesis by regulating the activities of ECs. Hypoxia, a common feature in the tumor microenvironment, as a key regulator, can affect angiogenesis… More > Graphic Abstract

LIBO LIANG¹, XINYI WANG^2,3,4, YUPING ZENG^2,3,4, HAO CHEN^2,3,4, WEN ZHOU¹, HONGYING MU^2,3,4, GA LIAO^5,6,*

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