Oncology Research Editorial Office

Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.090478 - 13 August 2026

Abstract This article has no abstract. More >

Hsueh-Ju Lu^1,2,*, Chiao-Wen Lin^3,4, Chun-Yi Chuang^2,5, Chun-Wen Su^6,7, Shun-Fa Yang^6,7,*

Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.080527 - 13 August 2026

Abstract Background: Interleukin-31 receptor alpha (IL31RA) has been implicated in cancer progression and tumor cell migration, but its genetic associations across cancers remain unclear. This study aimed to examine IL31RA polymorphisms in relation to lymph node involvement in oral cavity squamous cell carcinoma (OCSCC). Methods: In this case-control study, 2845 participants were enrolled, including 1352 patients with OCSCC and 1493 cancer-free controls. Associations between IL31RA SNPs and OCSCC susceptibility and clinicopathological characteristics were evaluated. Functional analyses, including cell migration assays, together with bioinformatic database analyses, were performed to investigate the biological significance of IL31RA and genotype–expression correlations. Logistic… More >

Lea Barbarić¹, Marina Oskomić¹, Anđela Horvat², Katja Ester², Nikolina Stojanović³, Ana Tomašić Paić¹, Mihaela Matovina^1,*

BIOCELL, Vol.50, No.8, 2026, DOI:10.32604/biocell.2026.080282 - 27 July 2026

Abstract Objectives: Dipeptidyl peptidase 3 (DPP3) is a zinc metallopeptidase involved in peptide turnover and possibly in blood pressure and pain regulation. It also modulates oxidative stress response via the Kelch-like ECH-associated protein 1–nuclear factor erythroid 2-related factor 2 (KEAP1–NRF2) pathway. Although frequently upregulated in cancer, its role in carcinogenesis remains unclear. This study examined the effects of DPP3 knockdown (KD) and overexpression on migration, proliferation, and KEAP1–NRF2 pathway regulation in HeLa cells. Methods: We assessed the effects of DPP3-KD and overexpression on HeLa cell migration using a wound healing assay, and on NRF2 activity by measuring… More >

Yun Liu¹, Jinghua Zhao¹, Liang Ma¹, Zijie Huang^2,3,*, Lizhi Cai^2,3, Jianxin Ge^2,3

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084179 - 23 July 2026

Abstract Automated library migration reduces refactoring costs but challenges traditional evolutionary algorithms, which often suffer from premature convergence and poor recall in sparse, complex API mapping spaces. To address this, we propose QIMIG, a multi-objective optimization framework integrating quantum-inspired encoding with quality-aware and greedy heuristic filtering. QIMIG utilizes a probabilistic Q-bit representation to maintain population diversity and avoid local optima. Simultaneously, its heuristic components leverage historical usage context to filter semantic noise and guide the search toward valid mappings. Evaluated on 9 real-world migration rules derived from 57,447 open-source projects, QIMIG statistically significantly outperforms state-of-the-art baselines More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.088697 - 16 July 2026

Abstract This article has no abstract. More >

Ching-Chun Ho¹, Yen-Cheng Chen^1,2, Wei-Liang Lean¹, Wen-Sheng Wu^1,*

Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.077693 - 16 July 2026

Abstract Objectives: Triple-negative breast cancer (TNBC) is a highly aggressive form of breast cancer. Mitogen-activated protein kinases (MAPKs), including extracellular signal-regulated kinase (ERK) and c-Jun N-terminal kinase (JNK), as well as protein kinase B (AKT), are potential therapeutic targets for TNBC. Programmed death-ligand 1 (PD-L1) is implicated in TNBC progression and is associated with AKT and ERK signaling pathways. In addition, reactive oxygen species (ROS) act upstream of MAPK/AKT and PD-L1. In this study, we aimed to clarify the role of PD-L1 in TNBC progression and to delineate the underlying signaling mechanisms. Methods: Western blotting and reverse… More >

Dejun Wu^1,2,*, Chunlei Yu¹, Xuan Lu¹, Deshuo Tao¹, Xiaoning Li¹, Hao Song³

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.084484 - 30 June 2026

Abstract To address the short peak-production period and limited incremental recovery commonly encountered during chemical flooding of high water-cut reservoirs, this study investigates the dynamic evolution of displacement fronts and their controlling factors through laboratory experiments and numerical simulation. Two-dimensional plate flooding experiments were first conducted to characterize the evolution of the oil bank in homogeneous and heterogeneous reservoirs, revealing a four-stage process of formation, enrichment, mobilization, and residual depletion. Based on water-cut behavior, the flooding process was further classified into early-response, peak-response, and late-response stages. A three-dimensional heterogeneous reservoir model was subsequently developed to quantify… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.086719 - 16 June 2026

Abstract This article has no abstract. More >

Kanyang Jiang¹, Yingkai Kang², Ming Li^2,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.083294 - 15 June 2026

Abstract The Internet of Vehicular Agents (IoVA) interconnects distributed AI agents across vehicular networks to deliver real-time intelligent services for vehicular users. Due to the limited computing capacity of vehicles, AI agents are deployed on nearby RoadSide Units (RSUs) to perform computation-intensive inference. As vehicles traverse RSU coverage boundaries, AI agents must migrate to target RSUs to maintain service continuity. However, the communication and computing resources at each RSU are shared among multiple co-served vehicles, creating coupled allocation decisions that jointly determine system latency and energy consumption. To address this challenge, we propose a low-latency and… More >

Kaidi Yin, Lili Deng, Wen Liu^*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.075185 - 21 May 2026

Abstract Objectives: Although claudin-1 (CLDN1) interacts with Cluster of Differentiation 81 (CD81) in various cell types, the specific mechanism underlying this interaction and its functional implications in colorectal cancer (CRC) cells remain poorly understood. This study outlines the regulatory role of CLDN1 in CRC cell tumorigenicity through its interaction with CD81, elucidating the underlying signaling cascade. Methods: Changes in the expression of CLDN1 and CD81, as well as their correlation with the survival of CRC patients, were analyzed using samples from The Cancer Genome Atlas database, the Kaplan‒Meier plotter database, and tissue microarrays. CLDN1 and CD81 were… More >