YAN LU^1,2,#, KANG WANG^3,#, YUANHONG PENG^3,4, MENG CHEN⁵, LIN ZHONG^3,4, LUJI HUANG^3,4, FU CHENG^3,4, XINDAN SHENG^4,6, XIN YANG^4,6, MANZHAO OUYANG^3,4, GEORGE A. CALIN^5,*, ZHIWEI HE^1,*

Oncology Research, Vol.33, No.1, pp. 103-121, 2025, DOI:10.32604/or.2024.057472 - 20 December 2024

Abstract Background: Immune checkpoint inhibitors play an important role in the treatment of solid tumors, but the currently used immune checkpoint inhibitors targeting programmed cell death-1 (PD-1), programmed cell death ligand-1 (PD-L1), and cytotoxic T-lymphocyte antigen-4 (CTLA-4) show limited clinical efficacy in many breast cancers. B7H3 has been widely reported as an immunosuppressive molecule, but its immunological function in breast cancer patients remains unclear. Methods: We analyzed the expression of B7H3 in breast cancer samples using data from the Cancer Genome Atlas Program (TCGA) and the Gene Expression Omnibus (GEO) databases. MicroRNAs were selected using the… More >

YUEZHOU ZHANG^1,#, ZHAO ZHANG^2,#, JINXIN DONG¹, CHANGAN LIU^1,*

Oncology Research, Vol.33, No.1, pp. 83-102, 2025, DOI:10.32604/or.2024.055866 - 20 December 2024

Abstract Background: Aberrant expression of RNA-binding proteins (RBPs) has been linked to a variety of diseases, including hematological disorders, cardiovascular diseases, and multiple types of cancer. Heterogeneous nuclear ribonucleoprotein C (HNRNPC), a member belonging to the heterogeneous nuclear ribonucleoprotein (hnRNP) family, plays a pivotal role in nucleic acid metabolism. Previous studies have underscored the significance of HNRNPC in tumorigenesis; however, its specific role in malignant tumor progression remains inadequately characterized. Methods: We leveraged publicly available databases, including The Cancer Genome Atlas (TCGA), to explore the potential involvement of HNRNPC across various cancers. Additionally, we performed experimental… More > Graphic Abstract

WEI ZHANG^1,3,#, WEICHENG WANG^1,#, RUI WANG¹, XIAO HAN¹, LIJUN ZHU¹, WENJIE GUO^2,*, YANHONG GU^1,*

Oncology Research, Vol.33, No.1, pp. 225-234, 2025, DOI:10.32604/or.2024.050047 - 20 December 2024

Abstract Background: As a novel blocker of vascular endothelial growth factor receptor (VEGFR), fruquintinib has been approved for treating colorectal cancer (CRC). However, its dosage and therapeutic efficacy are limited by its widespread adverse reactions. Venetoclax, recognized as the initial inhibitor of B-cell lymphoma protein 2 (BCL2), has shown potential in boosting the effectiveness of immunotherapy against CRC. This study investigated the efficacy and mechanisms of fruquintinib combined with venetoclax in treating CRC. Methods and Materials: We developed a colon cancer mouse model with the CT26 colon cell line to demonstrate fruquintinib and venetoclax’s efficacy against tumors.… More > Graphic Abstract

RYUL KIM^1,#, JOO KYUNG PARK^2,#, MINSUK KWON³, MINAE AN⁴, JUNG YONG HONG¹, JOON OH PARK¹, SUNG HEE LIM^1,*, SEUNG TAE KIM^1,*

Oncology Research, Vol.33, No.1, pp. 57-65, 2025, DOI:10.32604/or.2024.049054 - 20 December 2024

Abstract Background: Immune checkpoint inhibitors (ICIs) are effective in a subset of patients with metastatic solid tumors. However, the patients who would benefit most from ICIs in biliary tract cancer (BTC) are still controversial. Materials and methods: We molecularly characterized tissues and blood from 32 patients with metastatic BTC treated with the ICI pembrolizumab as second-line therapy. Results: All patients had microsatellite stable (MSS) type tumors. Three of the 32 patients achieved partial response (PR), with an objective response rate (ORR) of 9.4% (95% confidence interval [CI], 2.0–25.2) and nine showed stable disease (SD), exhibiting a disease… More >

SHIQIN JIANG^1,#, YICHUN TANG^2,#, FENG MA³, YUCHUN NIU^4,*, LEI SUN^5,*

Oncology Research, Vol.33, No.1, pp. 213-224, 2025, DOI:10.32604/or.2024.046895 - 20 December 2024

Abstract Objective: Small cell lung cancer (SCLC) is commonly recognized as the most fatal lung cancer type. Despite substantial advances in immune checkpoint blockade therapies for treating solid cancers, their benefits are limited to a minority of patients with SCLC. In the present study, novel indicators for predicting the outcomes and molecular targets for SCLC treatment were elucidated. Methods: We conducted bioinformatics analysis to identify the key genes associated with tumor-infiltrating lymphocytes in SCLC. The functional role of the key gene identified in SCLC was determined both in vitro and in vivo. Results: A significant correlation was observed between… More >

Kaviyaraj Ravichandran^*, Uma Mohan^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 185-208, 2025, DOI:10.32604/cmes.2024.056387 - 17 December 2024

Abstract Augmented reality (AR) is an emerging dynamic technology that effectively supports education across different levels. The increased use of mobile devices has an even greater impact. As the demand for AR applications in education continues to increase, educators actively seek innovative and immersive methods to engage students in learning. However, exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration. Concurrently, this surge in demand has prompted the identification of specific barriers, one of which is three-dimensional (3D) modeling. Creating 3D objects for augmented reality education applications can be challenging and… More > Graphic Abstract

Weiwei Hu¹, Kiran Sree Pokkuluri², Rajesh Arunachalam^3,*, Bander A. Jabr⁴, Yasser A. Ali⁴, Preethi Palanisamy⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4833-4851, 2024, DOI:10.32604/cmc.2024.055561 - 19 December 2024

Abstract Wireless Sensor Network (WSNs) consists of a group of nodes that analyze the information from surrounding regions. The sensor nodes are responsible for accumulating and exchanging information. Generally, node localization is the process of identifying the target node’s location. In this research work, a Received Signal Strength Indicator (RSSI)-based optimal node localization approach is proposed to solve the complexities in the conventional node localization models. Initially, the RSSI value is identified using the Deep Neural Network (DNN). The RSSI is conceded as the range-based method and it does not require special hardware for the node… More >

Yuxiang Peng^1,*, Pengnan Sun¹, Niannian Liu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011902

Abstract Immersed boundary method (IBM) has been widely applied in the simulation of fluid-structure interaction problems. The traditional direct force model is less accurate, and the sharp-interface approaches involve complex topological operations which are not conducive to dealing with complex structures. The boundary data immersion method (BDIM) is a new fluid-structure coupling scheme that does not need to cut the mesh and can be extended to reach second-order accuracy. However, the traditional boundary data immersion method needs special treatment to deal with the sharp corners of the structure. In the present work, the volume fraction of More >

Ziying Zhang^1,*, Chu Li¹, Junwei Zhu¹, Qinghong Wu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010912

Abstract The process of perfusion seeding of cells into a porous scaffold represents a pivotal initial stage in the development of tissue-engineered bones. The rheological behavior of the cell suspension plays a crucial role in influencing the transport and distribution of cells within the scaffold. Currently, there is limited understanding of the non-Newtonian rheology of cell suspensions in complex pores which differs significantly from simple channels or linear shear flow. In this study, we utilize our previously developed mesoscopic model of perfusion cell seeding to investigate the rheological behavior of cell suspensions at the cellular scale. More >

ZHEN WANG¹, JUN FU¹, SAISAI ZHU¹, HAODONG TANG², KUI SHI¹, JIHUA YANG³, MENG WANG³, MENGGE WU¹, DUNFENG QI^1,*

Oncology Research, Vol.32, No.12, pp. 1851-1866, 2024, DOI:10.32604/or.2024.055286 - 13 November 2024

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) has a rich and complex tumor immune microenvironment (TIME). M2 macrophages are among the most extensively infiltrated immune cells in the TIME and are necessary for the growth and migration of cancers. However, the mechanisms and targets mediating M2 macrophage infiltration in pancreatic cancer remain elusive. Methods: The M2 macrophage infiltration score of patients was assessed using the xCell algorithm. Using weighted gene co-expression network analysis (WGCNA), module genes associated with M2 macrophages were identified, and a predictive model was designed. The variations in immunological cell patterns, cancer mutations, and… More > Graphic Abstract