Oncology Research Editorial Office

Oncology Research, Vol.32, No.10, pp. 1693-1694, 2024, DOI:10.32604/or.2024.056909 - 18 September 2024

Abstract This article has no abstract. More >

FEI CHU¹, KAI TONG¹, XIANG GU¹, MEI BAO¹, YANFEN CHEN¹, BIN WANG², YANHUA SHAO¹, LING WEI^1,*

Oncology Research, Vol.32, No.10, pp. 1661-1671, 2024, DOI:10.32604/or.2024.048287 - 18 September 2024

Abstract Glutamine is one of the most abundant non-essential amino acids in human plasma and plays a crucial role in many biological processes of the human body. Tumor cells take up a large amount of glutamine to meet their rapid proliferation requirements, which is supported by the upregulation of glutamine transporters. Targeted inhibition of glutamine transporters effectively inhibits cell growth and proliferation in tumors. Among all cancers, digestive system malignant tumors (DSMTs) have the highest incidence and mortality rates, and the current therapeutic strategies for DSMTs are mainly surgical resection and chemotherapy. Due to the relatively More > Graphic Abstract

Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1537-1537, 2024, DOI:10.32604/or.2024.056125 - 23 August 2024

Abstract This article has no abstract. More >

Bo Cao^1,*, Qinghua Xing², Longyue Li², Huaixi Xing¹, Zhanfu Song¹

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1251-1275, 2024, DOI:10.32604/cmc.2024.052842 - 18 July 2024

Abstract As a core part of battlefield situational awareness, air target intention recognition plays an important role in modern air operations. Aiming at the problems of insufficient feature extraction and misclassification in intention recognition, this paper designs an air target intention recognition method (KGTLIR) based on Knowledge Graph and Deep Learning. Firstly, the intention recognition model based on Deep Learning is constructed to mine the temporal relationship of intention features using dilated causal convolution and the spatial relationship of intention features using a graph attention mechanism. Meanwhile, the accuracy, recall, and F1-score after iteration are introduced More >

LINGLI ZHANG^1,2,#, YAN LI^1,#, JINGXIN MAO^1,*

BIOCELL, Vol.48, No.6, pp. 905-922, 2024, DOI:10.32604/biocell.2024.050396 - 10 June 2024

Abstract Hepatocellular carcinoma (HCC) remains a prevalent and challenging malignancy globally, characterized by its numerous causal factors and generally unfavorable prognosis. In the relentless pursuit of effective treatment modalities, natural products have emerged as a promising and relatively non-toxic alternative, garnering significant interest. The integration of natural products with contemporary medical research has yielded encouraging therapeutic outcomes in the management of HCC. This review offers a comprehensive overview of the causal factors underlying HCC, and the diverse treatment options available, and highlights the advancements made by natural products in anti-HCC research. Particularly, we provide an outline More >

ELHAM SHAKIBA¹, SETI BOROOMAND², SIMA KHERADMAND KIA³, MEHDI HEDAYATI^4,*

Oncology Research, Vol.32, No.6, pp. 1011-1019, 2024, DOI:10.32604/or.2024.049235 - 23 May 2024

Abstract This review aimed to describe the inculpation of microRNAs (miRNAs) in thyroid cancer (TC) and its subtypes, mainly medullary thyroid carcinoma (MTC), and to outline web-based tools and databases for bioinformatics analysis of miRNAs in TC. Additionally, the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be discussed. This review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes, mainly MTC. Additionally, web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and described. MiRNAs can… More > Graphic Abstract

Yujing Ma^1,4, Zhongwang Wang², Jieyuan Zhang³, Ruijin Huo^1,4, Xiaohui Yuan^1,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 2079-2102, 2024, DOI:10.32604/cmes.2024.048488 - 20 May 2024

Abstract In this paper, an adaptive polynomial chaos expansion method (PCE) based on the method of moments (MoM) is proposed to construct surrogate models for electromagnetic scattering and further sensitivity analysis. The MoM is applied to accurately solve the electric field integral equation (EFIE) of electromagnetic scattering from homogeneous dielectric targets. Within the bistatic radar cross section (RCS) as the research object, the adaptive PCE algorithm is devoted to selecting the appropriate order to construct the multivariate surrogate model. The corresponding sensitivity results are given by the further derivative operation, which is compared with those of More >

Zihao Song, Yan Zhou^*, Wei Cheng, Futai Liang, Chenhao Zhang

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3349-3376, 2024, DOI:10.32604/cmc.2024.047034 - 26 March 2024

Abstract The frequent missing values in radar-derived time-series tracks of aerial targets (RTT-AT) lead to significant challenges in subsequent data-driven tasks. However, the majority of imputation research focuses on random missing (RM) that differs significantly from common missing patterns of RTT-AT. The method for solving the RM may experience performance degradation or failure when applied to RTT-AT imputation. Conventional autoregressive deep learning methods are prone to error accumulation and long-term dependency loss. In this paper, a non-autoregressive imputation model that addresses the issue of missing value imputation for two common missing patterns in RTT-AT is proposed.… More >

KUNLUN LI¹, DANDAN LI², BARBOD HAFEZ^3,*, MOUNIR M. SALEM BEKHIT⁴, YOUSEF A. BIN JARDAN⁴, FARS KAED ALANAZI⁴, EHAB I. TAHA⁴, SAYED H. AUDA⁴, FAIQAH RAMZAN^5,*, MUHAMMAD JAMIL⁶

Oncology Research, Vol.32, No.4, pp. 737-752, 2024, DOI:10.32604/or.2023.042925 - 20 March 2024

Abstract Kidney Renal Clear Cell Carcinoma (KIRC) is a malignant tumor that carries a substantial risk of morbidity and mortality. The MMP family assumes a crucial role in tumor invasion and metastasis. This study aimed to uncover the mechanistic relevance of the MMP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) through a comprehensive approach encompassing both computational and molecular analyses. STRING, Cytoscape, UALCAN, GEPIA, OncoDB, HPA, cBioPortal, GSEA, TIMER, ENCORI, DrugBank, targeted bisulfite sequencing (bisulfite-seq), conventional PCR, Sanger sequencing, and RT-qPCR based analyses were used in the… More >

SHAN OU^#, YUN XU^#, QINGLAN LIU, TIANWEN YANG, WEI CHEN, XIU YUAN, XIN ZUO, PENG SHI^*, JIE YAO^*

BIOCELL, Vol.48, No.3, pp. 415-429, 2024, DOI:10.32604/biocell.2024.046178 - 15 March 2024

Abstract Background: The interrelation between intestinal polyps, metabolic syndrome (MetS), and colorectal cancer (CRC) is a critical area of study. This research focuses on pinpointing potential molecular targets to understand the link between intestinal polyp formation, metabolic irregularities, and CRC progression. Methods: We examined clinical samples from patients with intestinal polyps coexisting with MetS and compared them with samples from patients with standard intestinal polyps. Transcriptome sequencing and public database analysis were employed to identify significant pathways and genes. These targets were then validated through immunohistochemistry (IHC). Following the RNA interference of key target expression, a… More > Graphic Abstract