Lv Ling^1,#, Minying Lu^2,#, Ling Ye³, Yuanhang Chen², Sheng Lin², Jun Yang², Yu Rong^2,*, Guixiong Wu^4,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069889 - 30 December 2025

Abstract Background: A significant proportion of patients still cannot benefit from existing targeted therapies and immunotherapies, making the search for new treatment strategies extremely urgent. In this study, we combined integrate public data analysis with experimental validation to identify novel prognostic biomarkers and therapeutic targets for lung adenocarcinoma (LUAD). Methods: We analyzed RNA and protein databases to assess the expression levels of cytochrome C oxidase 5B (COX5B) in LUAD. Several computational algorithms were employed to investigate the relationship between COX5B and immune infiltration in LUAD. To further elucidate the role of COX5B in LUAD, we utilized… More > Graphic Abstract

Hairul Aysa Abdul Halim Sithiq^1,*, Liyana Shuib^1,*, Muneer Ahmad², Chermaine Deepa Antony³

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.067781 - 10 November 2025

Abstract Honeycombing Lung (HCL) is a chronic lung condition marked by advanced fibrosis, resulting in enlarged air spaces with thick fibrotic walls, which are visible on Computed Tomography (CT) scans. Differentiating between normal lung tissue, honeycombing lungs, and Ground Glass Opacity (GGO) in CT images is often challenging for radiologists and may lead to misinterpretations. Although earlier studies have proposed models to detect and classify HCL, many faced limitations such as high computational demands, lower accuracy, and difficulty distinguishing between HCL and GGO. CT images are highly effective for lung classification due to their high resolution,… More >

Muhammad Noman Khan^1,2,3,*, Kang Tian², John R. Gordon⁴, Fang Li², Song-Ze Ding^1,*

Oncology Research, Vol.33, No.12, pp. 3837-3854, 2025, DOI:10.32604/or.2025.069408 - 27 November 2025

Abstract Objectives: Chemotherapy-induced lung inflammation limits the efficacy of anticancer therapies such as gefitinib in non-small cell lung cancer (NSCLC). Glutamic acid-leucine-arginine positive (ELR+) CXC chemokines and their receptors, CXC chemokine receptor 1 and 2 (CXCR1 and CXCR2), mediate both inflammatory responses and tumor progression. This study evaluated the effects of CXCR1/2 antagonism by G31P, a CXC motif chemokine ligand 8 (CXCL8)-mutated peptide, alone or in combination with gefitinib, on lung cancer growth and chemotherapy-induced pulmonary inflammation. Methods: Human NSCLC cell lines (A549 and H460) were treated with gefitinib and/or G31P. Cell proliferation, apoptosis, and signaling… More > Graphic Abstract

Khanh Toan Nguyen^1,*, Thi Huong Pham^1,2, Van Lam Ngo¹, Thi Thuy My Nguyen¹, Thi Dao Nguyen¹, Khanh Hung Truong¹, Van Nhat Nguyen¹, Van Thanh Le¹, Ba Duc Ho¹, Thi Phuong Thao Nguyen¹, Thi Ha Phuong Nguyen¹, Thi My Linh Dinh¹, Thi Hong Anh Vo¹, Thi Thuy Phan¹, Thi Hai Yen Le¹, Thi Nhung Ngo¹, Khanh Ha Nguyen¹

Oncology Research, Vol.33, No.12, pp. 4013-4028, 2025, DOI:10.32604/or.2025.069281 - 27 November 2025

Abstract Objective: Patients with stage III non-small cell lung cancer (NSCLC) present with a heterogeneous disease profile and often require multifaceted treatment strategies. This research aimed to investigate the demographic features, therapeutic patterns, and survival outcomes of such patients in Vietnam. Methods: A retrospective descriptive study was conducted on 731 patients diagnosed with stage III NSCLC American Joint Committee on Cancer (AJCC) 8th edition, at Nghe An Oncology Hospital from January 2018 to August 2024. Descriptive statistics summarized baseline and treatment characteristics. We calculated progression-free survival (PFS) and overall survival (OS) through the Kaplan–Meier approach and… More >

Yan Gui^1,#, Wen Pan^1,#, Ziyi Dong^1,#, Dongzhi Hu^1,#, Yaoyang Guo¹, Xinyi Wen¹, Haiyang Zhang², Zhansheng Jiang^1,*, Xiangqian Zheng^1,*, Ming Gao^2,*, Junyi Wang^1,*

Oncology Research, Vol.33, No.12, pp. 3991-4011, 2025, DOI:10.32604/or.2025.067182 - 27 November 2025

Abstract Objectives: Metastatic spread to the lung is one of the leading causes of fatal outcomes in thyroid cancer, but the underlying molecular mechanisms remain unclear. To investigate how exosomal microRNA-17-5p (miR-17-5p) promotes lung metastasis in thyroid cancer within the framework of the “seed and soil” hypothesis. Methods: Serum exosomes from thyroid cancer lung metastasis patients and controls were analyzed for miR-17, which was elevated in metastatic cases. miR-17 was transfected into embryonic lung fibroblasts (MRC-5), and their supernatants were co-cultured with thyroid cancer cells (Cal62). Cell proliferation and migration were evaluated using colony formation, Ki67… More >

Xiangyu Yan^1,#, Yusheng Jin^1,#, Yan Yuan¹, Xubaihe Zhang¹, Jiayi Li¹, Ying Xu¹, Yangyang Ge², Anqing Wu^1,*

BIOCELL, Vol.49, No.10, pp. 1929-1946, 2025, DOI:10.32604/biocell.2025.066935 - 22 October 2025

Abstract Objectives: Fractionated radiotherapy represents a standardized and widely adopted treatment modality for cancer management, with approximately 40% of non-small cell lung cancer (NSCLC) patients receiving it. However, repeated irradiation may induce radioresistance in cancer cells, reducing treatment effectiveness and raising recurrence risk. The long noncoding RNA CRYBG3 (lncRNA CRYBG3), which is upregulated in lung cancer cells after X-ray irradiation, contributes to the radioresistance of NSCLC cells by promoting wild-type p53 protein degradation. This study aims to elucidate the mechanism of fractionated irradiation-induced radioresistance, in which lncRNA CRYBG3 regulates radiation-induced mitochondrial damage and reactive oxygen species… More >

Sudhakar Tummala^1,2,*, Sajjad Hussain Chauhdary³, Vikash Singh⁴, Roshan Kumar⁵, Seifedine Kadry⁶, Jungeun Kim^7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3585-3605, 2025, DOI:10.32604/cmes.2025.069731 - 30 September 2025

Abstract Lightweight deep learning models are increasingly required in resource-constrained environments such as mobile devices and the Internet of Medical Things (IoMT). Multi-head convolution with channel attention can facilitate learning activations relevant to different kernel sizes within a multi-head convolutional layer. Therefore, this study investigates the capability of novel lightweight models incorporating residual multi-head convolution with channel attention (ResMHCNN) blocks to classify medical images. We introduced three novel lightweight deep learning models (BT-Net, LCC-Net, and BC-Net) utilizing the ResMHCNN block as their backbone. These models were cross-validated and tested on three publicly available medical image datasets:… More >

Eleni Kokkotou^*, Andriani Charpidou, Nikolaos Syrigos

Oncology Research, Vol.33, No.10, pp. 2657-2672, 2025, DOI:10.32604/or.2025.066228 - 26 September 2025

Abstract Vascular endothelial growth factor (VEGF) and its receptors (VEGFRs) serve an essential role in tumor angiogenesis and have emerged as potential therapeutic targets in lung cancer. This review explores the significance of serum VEGF levels as a predictive biomarker in non-small cell lung cancer (NSCLC). The VEGF family, consisting of VEGFA, VEGFB, VEGFC, VEGFD, and placenta growth factor (PlGF), engages with specific receptors, including tyrosine kinase receptors (VEGFR-1, VEGFR-2, and VEGFR-3) and neuropilin receptors (NRP-1 and NRP-2), to promote angiogenesis and lymphangiogenesis. VEGF-A, the primary component of the VEGF family, binds to VEGFR-2 to stimulate… More >

Junqi Guo^1,2, Yun Yang^1,2, Wei Zhao^1,2, Zhonghai Yan³, Xia Yang⁴, Yunfei Yan^1,2, Ruimin Hao^1,2, Jinxia Hu^1,2,*, Fei Jiao^1,2,*

BIOCELL, Vol.49, No.9, pp. 1797-1797, 2025, DOI:10.32604/biocell.2025.071013 - 25 September 2025

Abstract This article has no abstract. More >

Anjali Kariyarath Valappil^1,#, Reshmi Akter^2,#, Muhammad Awais², Dong Uk Yang³, Daehyo Jung², Li Ling⁴, Eun Kim⁵, Kyu Hyeong Yoon⁵, Yoon Ok Lee⁵, Deok Chun Yang^1,2,4,*

BIOCELL, Vol.49, No.9, pp. 1771-1795, 2025, DOI:10.32604/biocell.2025.069145 - 25 September 2025

Abstract Objectives: The phytochemical investigation of traditional herbal medicines holds significant promise for modern drug discovery, particularly in cancer therapy. This study aimed to evaluate the cytotoxicity, apoptosis induction, and immune-modulatory activities of extracts from three herbal medicines with historical use in traditional medicine—Acanthopanax sessiliflorus, Phragmites communis, and Pinus densiflora, as well as their combined extract (GMAS 01/COM), on human lung cancer cells (A549) and normal cell lines, including murine macrophages (RAW 264.7) and human keratinocytes (HaCaT). Methods: Plant extracts were prepared using aqueous extraction, sonication, and rotary evaporation. The total phenolic and flavonoid contents were quantified using the… More >