YUANYUAN XU, XIAOKE CHEN^*

Oncology Research, Vol.32, No.3, pp. 517-528, 2024, DOI:10.32604/or.2023.030293

Abstract Background: The aberrant intracellular expression of a mitochondrial aspartyl-tRNA synthetase 2 (DARS2) has been reported in human cancers. Nevertheless, its critical role and detailed mechanism in lung adenocarcinoma (LUAD) remain unexplored. Methods: Initially, The Cancer Genome Atlas (TCGA)-based Gene Expression Profiling Interactive Analysis (GEPIA) database () was used to analyze the prognostic relevance of DARS2 expression in LUAD. Further, cell counting kit (CCK)-8, immunostaining, and transwell invasion assays in LUAD cell lines in vitro, as well as DARS2 silence on LUAD by tumorigenicity experiments in vivo in nude mice, were performed. Besides, we analyzed the expression levels of p-PI3K (phosphorylated-Phosphotylinosital3… More >

YANG ZHANG^1,2,#, NANNAN QIN^5,#, XIJUN WANG^6,#, RUI LIANG⁷, QUAN LIU⁴, RUOYI GENG⁸, TIANXIAO JIANG⁸, YUNFEI LIU^8,*, JINWEI LI^3,4,*

Oncology Research, Vol.32, No.3, pp. 563-576, 2024, DOI:10.32604/or.2023.029697

Abstract Glycogen metabolism plays a key role in the development of hepatocellular carcinoma (HCC), but the function of glycogen metabolism genes in the tumor microenvironment (TME) is still to be elucidated. Single-cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells, and 65 glycogen metabolism genes were analyzed by a nonnegative matrix factorization (NMF). The prognosis and immune response of new glycogen TME cell clusters were predicted by using HCC and immunotherapy cohorts from public databases. HCC single-cell analysis was divided into fibroblasts, NT T cells, macrophages, endothelial cells, and B cells, which were separately divided into new… More >

XIAOJIA HUANG^1,#, CAILU SONG^2,#, JINHUI ZHANG², LEWEI ZHU^3,*, HAILIN TANG^2,*

Oncology Research, Vol.32, No.2, pp. 241-249, 2024, DOI:10.32604/or.2023.046582

Abstract Breast cancer has surpassed lung cancer to become the most common malignancy worldwide. The incidence rate and mortality rate of breast cancer continue to rise, which leads to a great burden on public health. Circular RNAs (circRNAs), a new class of noncoding RNAs (ncRNAs), have been recognized as important oncogenes or suppressors in regulating cancer initiation and progression. In breast cancer, circRNAs have significant roles in tumorigenesis, recurrence and multidrug resistance that are mediated by various mechanisms. Therefore, circRNAs may serve as promising targets of therapeutic strategies for breast cancer management. This study reviews the most recent studies about the… More >

XIANGDONG SUN^1,2,#, HUIJUAN WEN^1,2,#, FAZHAN LI^1,2, IHTISHAM BUKHARI^1,2, FEIFEI REN^1,2, XIA XUE^1,2, PENGYUAN ZHENG^1,2,*, YANG MI^1,2,*

Oncology Research, Vol.32, No.2, pp. 283-296, 2024, DOI:10.32604/or.2023.044618

Abstract Nicotinamide adenine dinucleotide (NAD+) plays an essential role in cellular metabolism, mitochondrial homeostasis, inflammation, and senescence. However, the role of NAD+-regulated genes, including coding and long non-coding genes in cancer development is poorly understood. We constructed a prediction model based on the expression level of NAD+ metabolism-related genes (NMRGs). Furthermore, we validated the expression of NMRGs in gastric cancer (GC) tissues and cell lines; additionally, β-nicotinamide mononucleotide (NMN), a precursor of NAD+, was used to treat the GC cell lines to analyze its effects on the expression level of NMRGs lncRNAs and cellular proliferation, cell cycle, apoptosis, and senescence-associated secretory… More > Graphic Abstract

JUAN SHEN^1,#, WEIYU ZHANG^2,3,#, QINQIN JIN^2,3,#, FUYU GONG^4,#, HEPING ZHANG⁵, HONGLIANG XU⁵, JIEJIE LI^2,3, HUI YAO^2,3, XIYA JIANG^2,3, YINTING YANG^2,3, LIN HONG^2,3, JIE MEI^2,3, YANG SONG^6,*, SHUGUANG ZHOU^2,3,7,*

Oncology Research, Vol.32, No.2, pp. 339-351, 2024, DOI:10.32604/or.2023.030887

Abstract Background: Invasive breast carcinoma (BRCA) is associated with poor prognosis and high risk of mortality. Therefore, it is critical to identify novel biomarkers for the prognostic assessment of BRCA. Methods: The expression data of polo-like kinase 1 (PLK1) in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases. PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. Single sample gene set enrichment analysis (ssGSEA) was performed to evaluate immune infiltration in the BRCA microenvironment, and the random forest (RF) and support vector machine (SVM) algorithms… More >

S. Kannan^1,*, S. Anusuya²

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3835-3851, 2023, DOI:10.32604/cmc.2023.042465

Abstract Gliomas, the most prevalent primary brain tumors, require accurate segmentation for diagnosis and risk assessment. In this paper, we develop a novel deep learning-based method, the Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis (DHA-ISSP) model. The DHA-ISSP model combines a three-band 3D convolutional neural network (CNN) U-Net architecture with dynamic hierarchical attention mechanisms, enabling precise tumor segmentation and survival prediction. The DHA-ISSP model captures fine-grained details and contextual information by leveraging attention mechanisms at multiple levels, enhancing segmentation accuracy. By achieving remarkable results, our approach surpasses 369 competing teams in the 2020 Multimodal Brain Tumor Segmentation Challenge. With… More >

KUAILU LIN^1,2, QIANYU GU², XIXI LAI^2,3,*

BIOCELL, Vol.47, No.12, pp. 2681-2696, 2023, DOI:10.32604/biocell.2023.043298

Abstract Objectives: Triple-negative breast cancer (TNBC) poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune behavior. Methods: We analyzed clinical information and mRNA expression data from 162 TNBC patients in TCGA-BRCA and 320 patients in METABRIC-BRCA. Utilizing weighted gene coexpression network analysis, we pinpointed 34 TNBC immune genes linked to survival. The least absolute shrinkage and selection operator Cox regression method identified key TNBC immune candidates for prognosis prediction. We calculated chemotherapy sensitivity scores using the “pRRophetic” package in R software and assessed immunotherapy response using the Tumor Immune Dysfunction and… More >

ZHONGXIANG TANG^1,2, LILI WANG^1,2, GUOJUN WU^1,2, LING QIN^1,2,*, YURONG TAN^1,2,*

BIOCELL, Vol.47, No.11, pp. 2503-2516, 2023, DOI:10.32604/biocell.2023.031565

Abstract Background: Non-small cell lung cancer (NSCLC) has a poor prognosis with a low 5-year survival rate. Lung adenocarcinoma (LUAD) accounts for 50%. Facio-genital dysplasia-5 (FGD5), a member of a subfamily of Rho GTP-GDP exchange factors, may be a good molecular biomarker for diagnosis and prognosis. Objective: To explore the clinical application of FGD5, the study was designed to investigate the prognosis value of FGD5 expression and its correlation with immune infiltrates in LUAD patients. Methods: Through the Wilcoxon signed-rank test and logistic regression, the correlation between clinical characteristics and FGD5 expression was analyzed. Kaplan–Meier plotter analysis, Cox regression, and a… More > Graphic Abstract

HAOSHENG ZHENG^1,#, RUIJUN LIN^2,#, WEIJIE CAI¹, YUZHEN ZHENG¹, XINGPING YANG¹, ZUI LIU¹, FEI QIN¹, YONGJIE CAI³, XIANYU QIN^1,*, HONGYING LIAO^1,*

BIOCELL, Vol.47, No.11, pp. 2453-2469, 2023, DOI:10.32604/biocell.2023.030032

Abstract Introduction: The difficulty in treating lung adenocarcinoma (LUAD) is caused by a shortage of knowledge about the biological mechanisms and a lack of treatment choices. Objectives: The aim of this study was to identify a valuable molecular target for the treatment of LUAD. Methods: Using multiple databases, we screened for hub genes in LUAD using Cytoscape and explored the expression and prognosis of DLG associated protein 5 (DLGAP5) in LUAD. We investigated the genetic variation, functional enrichment, and epigenetic activity of DLGAP5. Furthermore, we evaluated the relationship between the tumor microenvironment (TME) and DLGAP5. Results: Our study identified 10 hub… More > Graphic Abstract

JING GUO¹, CHANGYONG TONG¹, JIANGUANG SHI¹, XINJIAN LI¹, XUEQIN CHEN^2,*

Oncology Research, Vol.32, No.1, pp. 199-212, 2024, DOI:10.32604/or.2023.030969

Abstract Oxidative stress (OS) is intimately associated with tumorigenesis and has been considered a potential therapeutic strategy. However, the OS-associated therapeutic target for esophageal squamous cell carcinoma (ESCC) remains unconfirmed. In our study, gene expression data of ESCC and clinical information from public databases were downloaded. Through LASSO-Cox regression analysis, a risk score (RS) signature map of prognosis was constructed and performed external verification with the GSE53625 cohort. The ESTIMATE, xCell, CIBERSORT, TIMER, and ImmuCellAI algorithms were employed to analyze infiltrating immune cells and generate an immune microenvironment (IM). Afterward, functional enrichment analysis clarified the underlying mechanism of the model. Nomogram… More >