BENJIANG QIAN¹, XIAOYAN YING², GUANG YANG¹, HUIZHANG LI³, JIANMING TAN^1,*

BIOCELL, Vol.45, No.3, pp. 577-588, 2021, DOI:10.32604/biocell.2021.014972

Abstract This work aimed to discover new therapeutic targets in renal clear cell carcinoma by bioinformatics and detect the effect of candidate gene TRIP13 in renal cell carcinoma (RCC) cell proliferation, migration, and invasion. Differentially expressed mRNAs were screened based on The Cancer Genome Atlas (TCGA)-Kidney Renal Clear Cell Carcinoma (KIRC) databases, and functional enrichments, survival analysis, receiver operating characteristic curve (ROC), and Protein–Protein Interaction (PPI) protein interaction analysis were performed by R software to screen the candidate gene TRIP13. Then, the expression of candidate gene TRIP13 in 92 pairs of cancer and adjacent normal tissues of renal clear cell carcinoma… More >

MENGDAN WU¹, MENGYAO SUN¹, QINHUAI LAI¹, YIN LU¹, YUYIN FU¹, YUJIA PENG¹, WEIRONG LAI¹, LISHI ZENG¹, SHENGYAN ZHAO¹, YUYAN LI¹, ZHIXIONG ZHANG¹, XIAOFENG CHEN¹, FAN QIAO¹, YIWEN ZHANG^1,*, SHIJIE ZHOU^1,2,*, LANTU GOU¹, JINLIANG YANG^1,2

BIOCELL, Vol.45, No.3, pp. 589-597, 2021, DOI:10.32604/biocell.2021.013882

Abstract The chemokine ligand 13-chemokine receptor 5 (CXCL13-CXCR5) axis has been characterized as a critical tumor-promoting signaling pathway in the tumor microenvironment (TME) in multiple types of solid tumors. In this study, we analyzed the expression profile of CXCL13 in kidney clear cell carcinoma (KIRC) and its correlation with tumor-infiltrating immune cells (TIICs). A monoclonal antibody against CXCL13 with high affinity and purity was generated in our lab for western blot and immunohistochemistry (IHC). Bioinformatic analysis was performed based on bulk-seq data from the Cancer Genome Atlas (TCGA)-KIRC and single-cell RNA-seq data from scRNASeqDB and PanglaoDB. Results showed that high CXCL13… More >

LITING YOU^1,#, FEIFEI NA^2,#, JUAN ZHOU³, LIN JIAO³, YI ZHOU^3,*, BINWU YING^3,*

BIOCELL, Vol.45, No.3, pp. 649-663, 2021, DOI:10.32604/biocell.2021.013978

Abstract Reviews The Dectin-1 cluster comprises seven members: CLEC-12A, CLEC-12B, CLEC-1A, CLEC-7A, CLEC- 2, CLEC-9A and OLR1. These members have been demonstrated to be involved in the tumorigenesis, progression, and metastasis of several cancers. However, little is known about their roles in human lung adenocarcinoma (LUAD). The expression patterns of the Dectin-1 cluster were analyzed via the ONCOMINE and GEPIA databases. We evaluated the prognostic value of the Dectin-1 cluster in patients with LUAD using the Kaplan-Meier plotter and GEPIA. Differential expression was validated with the EMBL-EBI database, and protein expression was analyzed with the HPA database. In addition, protein-protein interaction… More >

HONG ZHOU^1,*, XIAOFENG JIA^1,2, FAN YANG¹

BIOCELL, Vol.45, No.3, pp. 711-722, 2021, DOI:10.32604/biocell.2021.014193

Abstract Uncontrolled proliferation is a hallmark of cancer cells, yet the molecular mechanisms that contribute to this proliferation are unclear. Therapeutic treatment of cancer is suboptimal in many cases, with no accurate index by which to evaluate the success of treatment or patient prognosis. In this study, we explored the protein levels of nuclear phosphoeIF4E in acute myeloid leukemia (AML) cell lines and primary leukemia samples by Western blot and immunofluorescence and as well analyzed transcriptomes by RNA-seq. We found nuclear phospho-eIF4E, an exporter of oncogenic mRNAs, to be abundant in AML. Further, nuclear phospho-eIF4E abundance was significantly associated with tumor… More >

Roderick W. J. van Grootel, Allard T. van den Hoven, Dan Bowen, Tijmen Ris, Jolien W. Roos-Hesselink, Annemien E. van den Bosch^*

Congenital Heart Disease, Vol.16, No.3, pp. 221-232, 2021, DOI:10.32604/CHD.2021.013793

Abstract Aims: To assess the prognostic value of left ventricular (LV) global longitudinal strain (GLS) and global longitudinal early diastolic strain rate (GLSre) with regard to cardiovascular events, as congenital aortic stenosis (AoS) is associated with significant mortality and morbidity but predictors for clinical outcome are scarce. Strain analysis provides a robust and reproducible method for early detection of LV dysfunction, which might be of prognostic value. Methods: This prospective study, included clinically stable patients with congenital AoS between 2011–2013. LV GLS and GLSre was performed in the apical 4, 3 and 2-chamber views using Tomtec software. The endpoint was a… More >

Imran Ashraf¹, Waleed S. Alnumay², Rashid Ali³, Soojung Hur¹, Ali Kashif Bashir⁴, Yousaf Bin Zikria^1,*

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3009-3044, 2021, DOI:10.32604/cmc.2021.015140

Abstract The COVID-19 pandemic has caused hundreds of thousands of deaths, millions of infections worldwide, and the loss of trillions of dollars for many large economies. It poses a grave threat to the human population with an excessive number of patients constituting an unprecedented challenge with which health systems have to cope. Researchers from many domains have devised diverse approaches for the timely diagnosis of COVID-19 to facilitate medical responses. In the same vein, a wide variety of research studies have investigated underlying medical conditions for indicators suggesting the severity and mortality of, and role of age groups and gender on,… More >

WENXI GAO^1,2,#, QIANQIAN MA^3,#, CHENYU TANG^2,#, YUELI ZHAN⁴, YINONG DUAN², HUIHUA NI^5,*, YUNZHAO XU^5,6,*

BIOCELL, Vol.44, No.4, pp. 597-605, 2020, DOI:10.32604/biocell.2020.011328

Abstract Cervical cancer (CESC) is one of the most common cancers and affects the female genital tract. Consistent HPV infection status has been determined to be a vital cause of tumorigenesis. HPV infection may induce changes to the immune system and limit the host’s immune response. Immunotherapy is therefore essential to improving the overall survival of both locally advanced and recurrent CESC patients. Using 304 relevant samples from TCGA, we assessed immune cell function in CESC patients to better understand the status of both tumor micro-environment cells and immune cells in CESC. Functional enrichment analysis, pathway enrichment analysis, and PPI network… More >

Nan Geng¹, Wenxia Hu¹, Zhikun Liu², Jingwei Su², Wenyu Sun³, Shaonan Xie⁴, Cuimin Ding^1,*

Oncologie, Vol.22, No.4, pp. 245-254, 2020, DOI:10.32604/oncologie.2020.014125

Abstract Objective: This study was set out to inquire into the expression and clinical significance of lncRNA activated by transforming growth factor β (LncRNA-ATB) and in cancer tissues of patients with non-small cell lung cancer (NSCLC). Methods: LncRNA-ATB in cancer tissues and adjacent tissues of 89 NSCLC patients was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and its clinical diagnostic value in NSCLC was determined by receiver operating characteristic (ROC) curves. Based on the median expression of LncRNAATB in NSCLC tissues, 89 patients were allocated into high- and low-expression groups. The 3-year survival rate was calculated using Kaplan-Meier method and… More >

Burcu BİTERGE SÜT^1,*, Ayşe İKİNCİ KELE޲

Oncologie, Vol.22, No.3, pp. 147-154, 2020, DOI:10.32604/oncologie.2020.014449

Abstract Components of the protein synthesis machinery are subjected to alterations in cancer cells. eEF1D gene, which lies within the frequently amplified 8q24 locus, is one of the subunits of the human eukaryotic elongation factor complex. This study aimed to evaluate the prognostic and predictive significance of eEF1D in breast cancer using in silico analysis tools. For this purpose, we analyzed genomic alterations of the eEF1D gene using TCGA datasets via cBioPortal. Histopathological analysis was performed on patient tissue images obtained from cBioPortal and the Human Protein Atlas. Survival analysis was carried out using the KM Plotter and the prediction of… More >

Le Sun^1,*, Qiandi Yu¹, Dandan Peng¹, Sudha Subramani², Xuyang Wang¹

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 603-619, 2021, DOI:10.32604/cmc.2020.012515

Abstract Recently, an increasing number of works start investigating the combination of fog computing and electronic health (ehealth) applications. However, there are still numerous unresolved issues worth to be explored. For instance, there is a lack of investigation on the disease prediction in fog environment and only limited studies show, how the Quality of Service (QoS) levels of fog services and the data stream mining techniques influence each other to improve the disease prediction performance (e.g., accuracy and time efficiency). To address these issues, we propose a fog-based framework for disease prediction based on Medical sensor data streams, named FogMed. This… More >