Khalil Ibrahim Lairedj¹, Zouaoui Chama¹, Amina Bagdaoui¹, Samia Larguech², Younes Menni^3,4,*, Nidhal Becheikh⁵, Lioua Kolsi^6,*, Badr M. Alshammari⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2419-2443, 2025, DOI:10.32604/cmes.2025.069396 - 31 August 2025

Abstract Brain tumor segmentation from Magnetic Resonance Imaging (MRI) supports neurologists and radiologists in analyzing tumors and developing personalized treatment plans, making it a crucial yet challenging task. Supervised models such as 3D U-Net perform well in this domain, but their accuracy significantly improves with appropriate preprocessing. This paper demonstrates the effectiveness of preprocessing in brain tumor segmentation by applying a pre-segmentation step based on the Generalized Gaussian Mixture Model (GGMM) to T1 contrast-enhanced MRI scans from the BraTS 2020 dataset. The Expectation-Maximization (EM) algorithm is employed to estimate parameters for four tissue classes, generating a More >

Wan Mohd Faizal^1,2,*, Nurul Musfirah Mazlan^1,*, Shazril Imran Shaukat^3,4, Chu Yee Khor², Ab Hadi Mohd Haidiezul², Abdul Khadir Mohamad Syafiq²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1335-1369, 2025, DOI:10.32604/cmes.2025.068660 - 31 August 2025

Abstract Conventional oncology faces challenges such as suboptimal drug delivery, tumor heterogeneity, and therapeutic resistance, indicating a need for more personalized, and mechanistically grounded and predictive treatment strategies. This review explores the convergence of Computational Fluid Dynamics (CFD) and Machine Learning (ML) as an integrated framework to address these issues in modern cancer therapy. The paper discusses recent advancements where CFD models simulate complex tumor microenvironmental conditions, like interstitial fluid pressure (IFP) and drug perfusion, and ML enhances simulation workflows, automates image-based segmentation, and enhances predictive accuracy. The synergy between CFD and ML improves scalability and More >

Fatma M. Talaat^1,2,*, Mohamed Salem¹, Mohamed Shehata^3,4,*, Warda M. Shaban⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2325-2358, 2025, DOI:10.32604/cmes.2025.067195 - 31 August 2025

Abstract The diagnosis of brain tumors is an extended process that significantly depends on the expertise and skills of radiologists. The rise in patient numbers has substantially elevated the data processing volume, making conventional methods both costly and inefficient. Recently, Artificial Intelligence (AI) has gained prominence for developing automated systems that can accurately diagnose or segment brain tumors in a shorter time frame. Many researchers have examined various algorithms that provide both speed and accuracy in detecting and classifying brain tumors. This paper proposes a new model based on AI, called the Brain Tumor Detection (BTD)… More >

Marie Chaumel¹, Nicolas Brichart², Franck Bruyère¹, Ali Bourgi^1,*

Canadian Journal of Urology, Vol.32, No.4, pp. 359-366, 2025, DOI:10.32604/cju.2025.066470 - 29 August 2025

Abstract Background: The COVID-19 pandemic disrupted healthcare systems globally, raising concerns about delayed cancer diagnosis and treatment. In France, transurethral resection of bladder tumors (TURBT) was prioritized in national urology guidelines to ensure the timely management of urothelial carcinoma. This study aimed to assess the impact of care reorganization on tumor staging, recurrence, palliative care, and mortality in bladder cancer patients from the pre-pandemic through late-pandemic periods. Methods: We conducted a retrospective multicenter study including all patients who underwent TURBT with histologically confirmed urothelial carcinoma between April and December of 2019 (pre-pandemic), 2020 (early pandemic), 2021… More >

Siddharth Marthi^1,*, Muhammad Mukarram¹, Fatemeh Ardeshir-Larijani², Lara Rabih Harik³, Shreyas Subhash Joshi^1,2

Canadian Journal of Urology, Vol.32, No.4, pp. 349-353, 2025, DOI:10.32604/cju.2025.063775 - 29 August 2025

Abstract Tumor-to-tumor metastasis (TTM) is a rare phenomenon in which a secondary tumor colonizes within a primary tumor of a different histogenesis. It is hypothesized that TTM is encouraged by conditions that promote increased cell growth and division in the primary tumor, such as hypervascularity and expression of oncogenic cytokines. However, the exact causes of TTM likely vary on a case-by-case basis and are dependent on the microenvironment of both the primary and secondary tumors. Herein, we present the first reported example of TTM in which a pulmonary neuroendocrine tumor (NET) metastasizes to a renal oncocytoma. More >

Oncology Research Editorial Offfce

Oncology Research, Vol.33, No.9, pp. 2599-2599, 2025, DOI:10.32604/or.2025.071884 - 28 August 2025

Abstract This article has no abstract. More >

Tatiana M. Astakhova, Nikita S. Karpov, Nataliya O. Dashenkova, Elena V. Alpeeva, Mikhail V. Nesterchuk, Sergey B. Akopov, Arsen S. Mikaelyan, Anfisa S. Ryabchenko, Pavel A. Erokhov, Natalia P. Sharova^*

Oncology Research, Vol.33, No.9, pp. 2573-2595, 2025, DOI:10.32604/or.2025.066611 - 28 August 2025

Abstract Objectives: Proteasomes, multi-subunit proteases, are key actors of cellular protein catabolism and a number of regulatory processes. The detection of subtle proteasome functioning in tumors may contribute to our understanding of the mechanisms of cancer development. The current study aimed to identify the role of low molecular mass protein 2 (LMP2), a proteasome immune subunit, in the development of mouse colon 26 (C26) adenocarcinoma. Methods: The functions of the LMP2 subunit in tumor development in Balb/c mice were studied using its irreversible inhibitor KZR-504. LMP2 activity was detected by the hydrolysis of the fluorogenic substrate… More >

Yuriy Mayasin¹, Maria Osinnikova¹, Daria Osadchaya¹, Victoria Dmitrienko¹, Anna Gorodilova¹, Chulpan Kharisova¹, Kristina Kitaeva¹, Ivan Filin¹, Valeria Solovyeva¹, Albert Rizvanov^1,2,*

Oncology Research, Vol.33, No.9, pp. 2221-2242, 2025, DOI:10.32604/or.2025.064677 - 28 August 2025

Abstract Melanoma is a malignant neoplasm with a high propensity to metastasize, arising from melanocytes and contributing significantly to global morbidity and mortality. Despite the demonstrated efficacy of many immunotherapy approaches, these methods rely on direct destruction of tumor cells with minimal impact on the aggregate of nearby non-tumor cells, the extracellular matrix, and blood vessels that form the tumor microenvironment (TME). The TME is known to be heterogeneous and dynamic, exerting both antitumor and pro-tumor effects depending on the specific features and stage of carcinogenesis. TME has been shown in several studies to promote… More >

Xinxin Hu^1,2,#, Yuye Xue^3,#, Fei Fang⁴, Jie Li², Xiaofeng Yuan², Guang Cheng⁵, Hailong Yuan³, Yongqiang Zhang², Yuefei Zhou⁵, Shuangwu Yang⁵, Pengcheng Qiu^2,*, Yunyang Lu², Haifeng Tang^2,*

Oncology Research, Vol.33, No.9, pp. 2491-2506, 2025, DOI:10.32604/or.2025.064454 - 28 August 2025

Abstract Objectives: The Sorbin and SH3 domain containing 1 (SORBS1), a protein linked to insulin signaling CBL interaction, was investigated for its role in pancreatic cancer apoptosis. This study explored polyphyllin H (PPH)’s ability to restore SORBS1-knockdown-mediated repair functions. Methods: PANC-1 cells were divided into Blank, overexpression (OE), and knockdown groups. CCK-8 assays assessed proliferation and drug toxicity. Western blot and flow cytometry analyzed SORBS1 levels and PPH effects. Comet assays quantified DNA damage. Subcutaneous xenograft tumors in nude mice (Blank vs. knockdown) were treated with PPH to evaluate in vivo efficacy. SORBS1-H2AX gene correlation was analyzed… More > Graphic Abstract

Liangju Peng^1,2, Tingting Cai^1,2, Peihang Xu^1,2, Cong Chen³, Qingzhi Xiang^1,2, Yiping Zhu^1,2, Dingwei Ye^1,2,*, Yijun Shen^1,2,*

Oncology Research, Vol.33, No.9, pp. 2463-2489, 2025, DOI:10.32604/or.2025.064331 - 28 August 2025

Abstract Background: Studies have reported the special value of PANoptosis in cancer, but there is no study on the prognostic and therapeutic effects of PANoptosis in bladder cancer (BLCA). This study aimed to explore the role of PANoptosis in BLCA heterogeneity and its impact on clinical outcomes and immunotherapy response while establishing a robust prognostic model based on PANoptosis-related features. Methods: Gene expression profiles and clinical data were collected from public databases. Spatial heterogeneity of cell death pathways in BLCA was evaluated. Consensus clustering was performed based on identified PANoptosis genes. Cell death pathway scores, molecular, and… More >