Kun Yang^1,2,3, Shilong Chang¹, Yucheng Wang¹, Minghui Wang¹, Jiahui Yang¹, Shuang Liu^1,2,3, Kun Liu^1,2,3, Linyan Xue^1,2,3,*

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 393-410, 2024, DOI:10.32604/cmc.2023.044994

Abstract Clear cell renal cell carcinoma (ccRCC) represents the most frequent form of renal cell carcinoma (RCC), and accurate International Society of Urological Pathology (ISUP) grading is crucial for prognosis and treatment selection. This study presents a new deep network called Multi-scale Fusion Network (MsfNet), which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images. The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity. The model was trained and tested using 90 Hematoxylin and Eosin (H&E) stained whole slide images (WSIs), which were all cropped into 320… More >

RENLONG ZHOU^1,2,#, SHUANG LI^3,#, XILIN XIAO^1,*

BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281

Abstract Background: In many cancer types, aryl hydrocarbon receptor nuclear translocator 2 (ARNT2) has been found to be associated with tumor cell proliferation and prognosis. However, the role of ARNT2 in clear cell renal cell carcinoma (ccRCC) has not been completely elucidated. In this study, the potential role of ARNT2 in ccRCC development was characterized. Methods: A pan-cancer dataset (TCGA-TARGET-GTEx) was accessed from UCSC Xena Data Browser. ARNT2 expression in normal and tumor samples was compared. Univariate Cox regression was performed to evaluate the prognostic value of ARNT2. Single sample gene set enrichment analysis (ssGSEA) was used to estimate the enrichment… More >

WENFEI GE^1,#, SHIYAN SONG^1,#, XIAOCHEN QI^1,#, FENG CHEN^1,#, XIANGYU CHE¹, YONGHAO SUN¹, JIN WANG¹, XIAOWEI LI², NANA LIU³, QIFEI WANG^1,*, GUANGZHEN WU^1,*

Oncology Research, Vol.31, No.3, pp. 255-270, 2023, DOI:10.32604/or.2023.027942

Abstract As a common tumor of the urinary system, the morbidity and mortality related to renal carcinoma, are increasing annually. Clear cell renal cell carcinoma (CCRCC) is the most common subtype of renal cell carcinoma, accounting for approximately 75% of the total number of patients with renal cell carcinoma. Currently, the clinical treatment of ccRCC involves targeted therapy, immunotherapy, and a combination of the two. In immunotherapy, PD-1/PD-L1 blocking of activated T cells to kill cancer cells is the most common treatment. However, as treatment progresses, some patients gradually develop resistance to immunotherapy. Meanwhile, other patients experience great side effects after… More > Graphic Abstract

WEI BAO^1,#, QIANGUANG HAN^2,#, XIAO GUAN³, ZIJIE WANG², MIN GU^1,2,*

Oncology Research, Vol.31, No.2, pp. 181-192, 2023, DOI:10.32604/or.2023.028051

Abstract Background: Clear-cell renal cell carcinoma (ccRCC) is the most common malignant kidney cancer. However, the tumor microenvironment and crosstalk involved in metabolic reprogramming in ccRCC are not well-understood. Methods: We used The Cancer Genome Atlas to obtain ccRCC transcriptome data and clinical information. The E-MTAB-1980 cohort was used for external validation. The GENECARDS database contains the first 100 solute carrier (SLC)-related genes. The predictive value of SLC-related genes for ccRCC prognosis and treatment was assessed using univariate Cox regression analysis. An SLC-related predictive signature was developed through Lasso regression analysis and used to determine the risk profiles of patients with… More >

Yanwen Lu^1,#, Wenliang Ma^1,#, Xiang Dong^1,#, Mackenzie Brown², Tong Lu^3,*, Weidong Gan^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 347-362, 2023, DOI:10.32604/cmes.2023.024909

Abstract This study aims to apply ResNet-18 convolutional neural network (CNN) and XGBoost to preoperative computed tomography (CT) images and clinical data for distinguishing Xp11.2 translocation renal cell carcinoma (Xp11.2 tRCC) from common subtypes of renal cell carcinoma (RCC) in order to provide patients with individualized treatment plans. Data from 45 patients with Xp11.2 tRCC from January 2007 to December 2021 are collected. Clear cell RCC (ccRCC), papillary RCC (pRCC), or chromophobe RCC (chRCC) can be detected from each patient. CT images are acquired in the following three phases: unenhanced, corticomedullary, and nephrographic. A unified framework is proposed for the classification… More >

ZEKUN XIN^1,#, YUDAN MA^2,#, WEIQIANG SONG³, HAO GAO³, LIJUN DONG³, BAO ZHANG^1,*, ZHILONG REN^3,*

BIOCELL, Vol.47, No.3, pp. 555-567, 2023, DOI:10.32604/biocell.2023.026254

Abstract Background: Recently, researchers have been attracted in identifying the crucial genes related to cancer, which plays important role in cancer diagnosis and treatment. However, in performing the cancer molecular subtype classification task from cancer gene expression data, it is challenging to obtain those significant genes due to the high dimensionality and high noise of data. Moreover, the existing methods always suffer from some issues such as premature convergence. Methods: To address those problems, we propose a new ant colony optimization (ACO) algorithm called DACO to classify the cancer gene expression datasets, identifying the essential genes of different diseases. In DACO,… More >

JIAFU FENG^1,2,#,*, BEI XU^1,2,#, CHUNMEI DAI^1,2,#, YAODONG WANG^1,4, GANG XIE^1,5, WENYU YANG^1,2, BIN ZHANG^1,2, XIAOHAN LI⁶, JUN WANG³

Oncology Research, Vol.29, No.5, pp. 331-349, 2021, DOI:10.32604/or.2022.03554

Abstract Due to its difficulty in early diagnosis and lack of sensitivity to chemotherapy and radiotherapy, renal cell carcinoma (RCC) remains to be a frequent cause of cancer-related death. Here, we probed into new targets for its early diagnosis and treatment for RCC. microRNA (miRNA) data of M2-EVs and RCC were searched on the Gene Expression Omnibus database, followed by the prediction of the potential downstream target. Expression of target genes was measured via RT-qPCR and Western blot, respectively. M2 macrophage was obtained via flow cytometry with M2-EVs extracted. The binding ability of miR-342-3p to NEDD4L and to CEP55 ubiquitination was… More >

DAWEI ZHU^1,#, LEI ZHANG^1,#, XIAOKAI SHI¹, SHENGLIN GAO¹, CHUANG YUE¹, LIFENG ZHANG¹, YU BAI¹, QIFENG WANG², ATSUSHI OKADA³, TAKAHIRO YASUI³, CHAO WANG^1,4, XINGANG CUI^4,5,*, LI ZUO^1,*

Oncology Research, Vol.29, No.3, pp. 159-174, 2021, DOI:10.32604/or.2022.03458

Abstract Identifying prognostic indicators of clear cell renal cell carcinoma (ccRCC) and elucidating the mechanisms underlying ccRCC progression are crucial for improving ccRCC patient prognosis. This study investigated the clinical significance and biological role of Ring finger protein 43 (RNF43) in ccRCC. Two independent cohorts of patients with ccRCC were employed to determine the prognostic significance of RNF43 by immunohistochemistry and statistical analyses. In vitro and in vivo experiments, RNA-seq, and other techniques were used to determine the biological role of RNF43 in ccRCC and related molecular mechanisms. RNF43 expression was commonly decreased in ccRCC specimens, and low expression of RNF43… More >

Dayu Tian¹, Yang Shi¹, Li Lei¹, Xiangmin Qiu¹, Tao Song^2,*, Qianyin Li^1,*

Oncologie, Vol.24, No.2, pp. 261-282, 2022, DOI:10.32604/oncologie.2022.022838

Abstract Background: Six2, a transcription factor, exerts an oncogenic role in clear cell renal cell carcinoma (ccRCC). Increased Six2 expression could enhance cancer metastasis. However, the regulatory mechanism of Six2 in promoting metastasis remains unclear. The purpose of this study is to analyze the regulatory pattern of Six2 and the potential role of Six2 in the tumor immune microenvironment. Materials and Methods: Firstly, transcriptional data in TCGA-KIRC cohorts was used to analyze the relationship between Six2 expression and clinical information. Secondly, we detect the association between Six2 and the tumor immune microenvironment in ccRCC. Then, we analyzed Six2-related differentially expressed genes… More >

Gang Li^*, Tie Chong^*, Jie Yang^†, Hongliang Li^*, Haiwen Chen^*

Oncology Research, Vol.27, No.1, pp. 125-137, 2019, DOI:10.3727/096504018X15213115046567

Abstract KIFC1 (kinesin family member C1) plays a critical role in clustering of extra centrosomes in various cancer cells and thus could be considered as a promising therapeutic target. However, whether KIFC1 is involved in the procession of renal cell carcinoma (RCC) still remains unclear. In this study, we found that KIFC1 was upregulated in RCC tissues and is responsible for RCC tumorigenesis (p<0.001). The high expression of KIFC1 correlates with aggressive clinicopathologic parameters. Kaplan–Meier analysis suggested that KIFC1 was associated with poor survival prognosis in RCC. Silencing KIFC1 dramatically resulted in inhibition of proliferation, delayed the cell cycle at G₂/M… More >