Shaojian Zou^1,#, Lipeng Zhang^2,#, Xiang Chen^3,#, Zhuomin Wang², Xinhui Zhu², Dandong Luo⁴, Shengxun Mao^2,*, Zhen Zong^2,*

Oncology Research, Vol.33, No.12, pp. 3753-3788, 2025, DOI:10.32604/or.2025.067586 - 27 November 2025

Abstract Traditional cancer therapies have limitations like poor efficacy on advanced tumors, healthy tissue damage, side effects, and drug resistance, creating an urgent need for new strategies. Hydrogels have good biocompatibility and controlled release, while extracellular vesicles (EVs) enable targeting and bioactive transport. This review systematically summarizes hydrogels and EVs, focusing on the construction of hydrogel-EV delivery system, key influencing factors, drug delivery mechanisms, and tumor therapy apps, clarifying their synergies. The system overcomes single-carrier flaws, construction methods/key factors affect performance, preclinical studies have confirmed efficacy in multiple therapies, but large-scale production and in vivo stability challenges More >

Xinke Chai, Shifeng Wu, Qian Shen, Qiulin Huang^*

Oncology Research, Vol.33, No.12, pp. 3731-3752, 2025, DOI:10.32604/or.2025.067546 - 27 November 2025

Abstract Gastric cancer (GC) is a prevalent malignant tumor globally, with high incidence and mortality rates. Advances in understanding molecular mechanisms underlying GC have highlighted the role of microRNAs (miRNAs) in its initiation, progression, and treatment. The Let-7 family, an important class of miRNAs, is closely associated with the biological behaviors of GC. Aberrant expression of various Let-7 family members in GC patients contributes to disease progression, as they target multiple molecular pathways and participate in diverse regulatory mechanisms throughout GC pathogenesis. This article systematically summarizes the expression patterns of Let-7 family members in GC, explores More >

Yi Tang^1,2,3,4,#, Minyi Situ^1,2,3,4,#, Zhiming Wu^1,2,3,4,#, Yanjun Wang^1,2,3,4,#, Xinpei Deng^1,2,3,4, Zhicheng Liu^1,2,3,4, Shengjie Guo^1,2,3,4, Qianghua Zhou^1,2,3,4,*, Gangjun Yuan^5,*, Xingliang Tan^1,2,3,4,*, Kai Yao^1,2,3,4,*

Oncology Research, Vol.33, No.12, pp. 3973-3989, 2025, DOI:10.32604/or.2025.066184 - 27 November 2025

Abstract Background: Current chemotherapy treatments, including the TIP (Taxol, Ifosfamide, Cisplatin) regimen, have shown limited effects but strong side effects in advanced Penile squamous cell carcinoma (PSCC) patients. Trophoblast cell-surface antigen-2 (TROP-2) is a novel target for antibody-drug conjugate (ADC) drugs and has been proven to be effective in several human cancers. This study aimed to explore the biological function and potential of the ADC target in PSCC cells. Methods: A total of 196 PSCC tumor tissue specimens and clinicopathological data were collected. TROP-2 expression was detected by IHC, and the correlation between TROP-2 expression and… More > Graphic Abstract

Byeongjun Kim^1,#, Seung-Hun Lee^2,#, Won-Du Chang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1237-1252, 2025, DOI:10.32604/cmes.2025.073530 - 26 November 2025

Abstract Side-scan sonar (SSS) is essential for acquiring high-resolution seafloor images over large areas, facilitating the identification of subsea objects. However, military security restrictions and the scarcity of subsea targets limit the availability of SSS data, posing challenges for Automatic Target Recognition (ATR) research. This paper presents an approach that uses Cycle-Consistent Generative Adversarial Networks (CycleGAN) to augment SSS images of key subsea objects, such as shipwrecks, aircraft, and drowning victims. The process begins by constructing 3D models to generate rendered images with realistic shadows from multiple angles. To enhance image quality, a shadow extractor and More >

Mujeebu Rehman¹, Qinghua Liu¹, Ali Ghulam², Tariq Ahmad³, Jawad Khan^4,*, Dildar Hussain^5,*, Yeong Hyeon Gu⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 779-805, 2025, DOI:10.32604/cmes.2025.067412 - 30 October 2025

Abstract Identifying druggable proteins, which are capable of binding therapeutic compounds, remains a critical and resource-intensive challenge in drug discovery. To address this, we propose CEL-IDP (Comparison of Ensemble Learning Methods for Identification of Druggable Proteins), a computational framework combining three feature extraction methods Dipeptide Deviation from Expected Mean (DDE), Enhanced Amino Acid Composition (EAAC), and Enhanced Grouped Amino Acid Composition (EGAAC) with ensemble learning strategies (Bagging, Boosting, Stacking) to classify druggable proteins from sequence data. DDE captures dipeptide frequency deviations, EAAC encodes positional amino acid information, and EGAAC groups residues by physicochemical properties to generate… More >

Oncology Research Editorial Office

Oncology Research, Vol.33, No.11, pp. 3609-3609, 2025, DOI:10.32604/or.2025.074405 - 22 October 2025

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.33, No.11, pp. 3607-3607, 2025, DOI:10.32604/or.2025.074403 - 22 October 2025

Abstract This article has no abstract. More >

Xuejun Guo^1,2, Yilin Fu³, Natalia Baran^4,5, Wenxue Ma^6,*

Oncology Research, Vol.33, No.11, pp. 3375-3385, 2025, DOI:10.32604/or.2025.071708 - 22 October 2025

Abstract Cluster of differentiation 47 (CD47), an immune checkpoint commonly referred to as the “don’t eat me” signal, plays a pivotal role in tumor immune evasion by inhibiting phagocytosis through interaction with signal regulatory protein alpha (SIRPα) on macrophages and dendritic cells (DCs). Although early enthusiasm drove broad clinical development, recent discontinuations of major CD47-targeted programs have prompted re-evaluation of its therapeutic potential. The purpose of this commentary is to contextualize the setbacks observed with first-generation CD47 inhibitors and to highlight strategies aimed at overcoming their limitations. Clinical challenges, including anemia, thrombocytopenia, suboptimal pharmacokinetics, and limited… More >

Amber Hassan¹, Badr Hafiz², Taghreed Alsinani³, Rakan Bokhari⁴, Dahlia Mirdad⁵, Awab Tayyib⁵, Alaa Alkhotani⁶, Ahmad Fallata⁷, Iman Mirza⁸, Eyad Faizo^9,10, Saleh Baeesa², Huda Alghefari¹¹, Maher Kurdi^11,*

Oncology Research, Vol.33, No.11, pp. 3293-3325, 2025, DOI:10.32604/or.2025.070031 - 22 October 2025

Abstract Background: Glioblastoma (GBM) remains the most aggressive primary brain tumour in adults, marked by pronounced cellular heterogeneity, diffuse infiltration, and resistance to conventional treatment. In recent years, transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma. This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM, focusing on gene signatures associated with stemness, immune modulation, extracellular matrix remodelling, metabolic adaptation, and therapeutic resistance. Methods: We conducted a systematic search of PubMed, The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the GlioVis… More >

Bruno Špiljak^1,#, Bojan Poposki^2,#, Stjepanka Lešić^3,*

Oncology Research, Vol.33, No.11, pp. 3269-3292, 2025, DOI:10.32604/or.2025.068395 - 22 October 2025

Abstract Head and neck squamous cell carcinoma (HNSCC) is an aggressive cancer with high recurrence rates and prevalent resistance to therapeutic interventions. Tumor behavior is largely dependent on the tumor microenvironment (TME) that includes immune cells, stromal components, cancer-associated fibroblasts (CAFs), the extracellular matrix (ECM), and an associated cytokine network. In this review, we examine principal mechanisms of the tumorigenic transformation, encompassing immune checkpoint disruption, therapy resistance mediated through CAFs, the contribution of hypoxic niches, and several metabolic dependencies that hold potential as future targets. Novel therapeutics developed and/or repurposed, such as immune checkpoint inhibitors (ICIs),… More >