Kawaljit Kaur^*

BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.073340 - 23 March 2026

Abstract Diffuse intrinsic pontine glioma (DIPG) is a pediatric brainstem tumor with a very poor prognosis, characterized by immunosuppressive tumor microenvironment (TME) that limits immune infiltration, including a significant reduction in circulating natural killer (NK) cells. This drop in NK cell levels and activity may promote tumor growth and immune evasion, making NK cells a promising target for immunotherapy. NK cells can attack and eliminate DIPG tumor cells, including glioma stem cells, while counteracting certain immune evasion strategies. Although the DIPG microenvironment and blood-brain barrier present challenges, NK cell-based therapies have shown encouraging tumor control and… More >

Xiaomeng Li^1,2, Xuejiao Li², Hongbo Wu^1,*, Rui Li^1,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.076176 - 23 March 2026

Abstract Lung cancer remains the leading cause of cancer-related mortality worldwide, primarily driven by metabolic reprogramming and immune evasion mechanisms within tumor cells. To adapt to the nutrient-deprived tumor microenvironment (TME), lung cancer cells undergo profound metabolic reprogramming, characterized by enhanced glycolysis (the Warburg effect), increased glutamine dependency (mediated by GLS1), and accelerated lipid synthesis (involving enzymes such as FASN). These metabolic alterations not only remodel the TME but also dampen antitumor immune responses by promoting immunosuppressive cell populations (e.g., Tregs and M2 macrophages) and inhibiting effector functions of CD8⁺ T cells and natural killer (NK) cells.… More >

Candela Cives-Losada^1,2, Cristiana Soldani², Michela Anna Polidoro², Barbara Franceschini², Ana Lleo^3,4, Marcello Di Martino^1,5, Matteo Donadon^1,5,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.074093 - 23 March 2026

Abstract Colorectal cancer (CRC) is the second deadliest cancer worldwide, being the presence of metastasis, mainly in the liver, a major contributor to high mortality rates in affected patients. The tumor microenvironment (TME)—comprised of interacting endothelial, stromal, and immune cells—plays a critical role in creating a supportive niche for tumor cell colonization and immune evasion and, thus, the establishment of metastases. The liver’s intrinsic nature further facilitates the development of immune tolerance, mediated by regulatory T cells, myeloid-derived suppressor cells, and soluble factors such as anti-inflammatory cytokines, which together dampen antitumor immune responses. This immunosuppressive milieu More > Graphic Abstract

Crystal J. Byrd¹, Monasia Evans¹, Woojung Kim², Quintera Knight³, Geou-Yarh Liou^1,2,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.073532 - 23 March 2026

Abstract Objective: The progression of prostate cancer cells to metastasis is supported by their tumor microenvironment. Within this microenvironment, infiltrating immune cells, such as B cells, can be either anti-tumorigenic or pro-tumorigenic. Our preliminary data showed that a higher density of the infiltrating B cells was found near prostate cancer cells in human cancer tissues, as compared to the benign prostate tissue regions, thus suggesting that infiltrating B cells would promote the progression of prostate cancer cells. In this study, we aim to investigate the role of infiltrating B cells in enhancing the migratory ability of… More >

Shuwen Sun^1,2,3,4,#, Jingcheng Zhang^1,2,3,#, Zongtai Zheng^5,#, Yajuan Hao^1,3, Tianyuan Xu^1,2,3, Ji Liu^1,3, Liang Sun², Aimin Wang², Yadong Guo^1,3, Shiyu Mao^1,3, Xu Zhang⁶, Yunfei Xu^1,3,*, Yifan Chen^1,2,3,*, Yang Yan^1,2,3,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.072373 - 23 March 2026

Abstract Objectives: Bladder cancer (BCa) progression is closely linked to the immune microenvironment. However, the key molecules that regulate this microenvironment and their specific mechanisms remain poorly understood. This study aims to identify a key molecule and elucidate its mechanisms, providing a theoretical basis for identifying novel therapeutic targets. Methods: Immune microenvironment-related genes in BCa were identified using The Cancer Genome Atlas and Shanghai Tenth People’s Hospital datasets. Proteasome 26S subunit non-ATPase 2 (PSMD2) expression was validated via quantitative polymerase chain reaction (qPCR), Western blot (WB) analysis, and immunofluorescence (IF). In vitro and in vivo experiments confirmed the… More > Graphic Abstract

Yingying Zhao^1,2, Jiakang Ma^1,3, Rujin Huang^1,2, Shuxian Pan^1,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.070208 - 23 March 2026

Abstract Background: Cancer-associated fibroblasts (CAFs) play critical roles in tumor progression and immunosuppression; however, their contribution to the functional classification and personalized treatment of gastric cancer remains poorly defined. This study aimed to identify effective therapeutic targets to facilitate individualized treatment strategies for patients with gastric cancer. Methods: Single-cell and bulk transcriptomic analyses were integrated to characterize gastric cancer fibroblasts. “Seurat”, “Slingshot”, and “CellChat” were used for dimensionality reduction, trajectory inference, and cell–cell communication analyses, respectively. Key metastasis-associated fibroblast modules were identified using High-dimensional weighted gene co-expression network analysis (hdWGCNA) to construct a prognostic model, which was further… More > Graphic Abstract

Thi-Loan Nguyen^1,2,*, Huy-Nam Chu³, The-Thanh Hua³, Trung-Nghia Phung², Van-Hung Le^3,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076732 - 12 March 2026

Abstract To support the process of grasping objects on a tabletop for the blind or robotic arm, it is necessary to address fundamental computer vision tasks, such as detecting, recognizing, and locating objects in space, and determining the position of the grasping information. These results can then be used to guide the visually impaired or to execute grasping tasks with a robotic arm. In this paper, we collected, annotated, and published the benchmark TQU-GraspingObject dataset for testing, validation, and evaluation of deep learning (DL) models for detecting, recognizing, and localizing grasping objects in 2D and 3D… More >

Suman Sukhavasi, Thinagaran Perumal^*, Norwati Mustapha, Razali Yaakob

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075613 - 12 March 2026

Abstract The Internet of Things (IoT) ecosystem is inherently heterogeneous, comprising diverse devices that must interoperate seamlessly to enable federated message and data exchange. However, as the number of service requests grows, existing approaches suffer from increased discovery time and degraded Quality of Service (QoS). Moreover, the massive data generated by heterogeneous IoT devices often contain redundancy and noise, posing challenges to efficient data management. To address these issues, this paper proposes a lightweight ontology-based architecture that enhances service discovery and QoS-aware semantic data management. The architecture employs Modified-Ordered Points to Identify the Clustering Structure (M-OPTICS)… More >

Yuanmeng Chang, Hongmei Liu^*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.074204 - 12 March 2026

Abstract Driven by rapid advances in deep learning, object detection has been widely adopted across diverse application scenarios. However, in low-light conditions, critical visual cues of target objects are severely degraded, posing a significant challenge for accurate low-light object detection. Existing methods struggle to preserve discriminative features while maintaining semantic consistency between low-light and normal-light images. For this purpose, this study proposes a DL-YOLO model specially tailored for low-light detection. To mitigate target feature attenuation introduced by repeated downsampling, we design a Multi-Scale Feature Convolution (MSF-Conv) module that captures rich, multi-level details via multi-scale feature learning, More >

Rui Yao^1,2, Yuye Wang^1,2,*, Fei Yu^1,2,3,*, Hongrun Wu^1,2, Zhenya Diao^1,2

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.073861 - 12 March 2026

Abstract Path planning for Unmanned Aerial Vehicles (UAVs) in complex environments presents several challenges. Traditional algorithms often struggle with the complexity of high-dimensional search spaces, leading to inefficiencies. Additionally, the non-linear nature of cost functions can cause algorithms to become trapped in local optima. Furthermore, there is often a lack of adequate consideration for real-world constraints, for example, due to the necessity for obstacle avoidance or because of the restrictions of flight safety. To address the aforementioned issues, this paper proposes a dynamic weighted spherical particle swarm optimization (DW-SPSO) algorithm. The algorithm adopts a dual Sigmoid-based More >