scholarly journals Interactome analysis of gene expression profiles identifies CDC6 as a potential therapeutic target modified by miR-215-5p in hepatocellular carcinoma

2020 ◽  
Vol 17 (18) ◽  
pp. 2926-2940
Author(s):  
Hongfa Xu ◽  
Jianwen Huang ◽  
Shengni Hua ◽  
Linjun Liang ◽  
Xu He ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Therapeutic Target ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Potential Therapeutic Target

scholarly journals Identification, using cDNA macroarray analysis, of distinct gene expression profiles associated with pathological and virological features of hepatocellular carcinoma

Oncogene ◽  
2002 ◽  
Vol 21 (18) ◽  
pp. 2926-2937 ◽  
Author(s):  
Oona Delpuech ◽  
Jean-Baptiste Trabut ◽  
Françoise Carnot ◽  
Jean Feuillard ◽  
Christian Brechot ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cdna Macroarray ◽  
Distinct Gene ◽  
Macroarray Analysis

scholarly journals ”BIK/NBK Gene Expression as a Possible Marker of Circulating Breast Cancer Cells in Blood“

2011 ◽  
Vol 4 (1) ◽  
pp. 8-14
Author(s):  
E. Lopez-Munoz ◽  
N. Garcia-Hernandez ◽  
R. I. Penaloza-Espinosa ◽  
M. E. Gomez-Del Toro ◽  
G. Zarco-Espinosa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cancer Cells ◽  
Therapeutic Target ◽  
Breast Cancer Cells ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Mrna Gene

The detection of circulating breast cancer cells in blood could be of special interest as an indicator of diagnosis and prognosis, and for the selection of treatment. In a previous report, our research group determined gene expression profiles in samples of breast cancer tissue, identifying over-expression of the BIK/NBK mRNA gene in 90% of the analyzed samples. In this paper, we analyze the BIK/NBK gene expression as a possible biomarker of circulating breast cancer cells in blood. We demonstrate that the BIK/NBK gene expression is not a significant biomarker in the detection of circulating breast cancer cells in the blood of women with breast cancer. Several studies have evaluated the regulation of apoptosis by estrogens in breast cancer cells, demonstrating the importance of BIK/NBK protein, in estrogen-regulated breast cancer cell apoptosis, which suggests that the regulation of its expression may be an important therapeutic target or strategy in the management of cancer, and, although we did not find statistically significant differences among the patient groups to demonstrate that BIK/NBK gene expression is a biomarker of circulating breast cancer cells in blood, we consider it necessary to continue the study of this gene in breast cancer tissue and its role in the development and progression of breast cancer, its prognostic value, and its potential use as therapeutic target.

scholarly journals A Nomogram Based on Glycolysis-related Gene Expression Profilings Serve as a Novel Prognosis Risk Classifiers for Human Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Lingyu Zhang ◽  
Yu Li ◽  
Yibei Dai ◽  
Danhua Wang ◽  
Xuchu Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Expression Profiles ◽  
Area Under The Curve ◽  
Prognostic Index ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Related Gene ◽  
Metabolic Pattern

Abstract Metabolic pattern reconstruction is an important element in tumor progression. The metabolism of tumor cells is characterized by the abnormal increase of anaerobic glycolysis, regardless of the higher oxygen concentration, resulting in a large accumulation of energy from glucose sources, and contributes to rapid cell proliferation and tumor growth which is further referenced as the Warburg effect. We tried to reconstruct the metabolic pattern in the progression of cancer to screen which genetic changes are specific in cancer cells. A total of 12 common types of solid tumors were enrolled in the prospective study. Gene set enrichment analysis (GSEA) was implemented to analyze 9 glycolysis-related gene sets, which are closely related to the glycolysis process. Univariate and multivariate analyses were used to identify independent prognostic variables for the construction of a nomogram based on clinicopathological characteristics and a glycolysis-related gene prognostic index (GRGPI). The prognostic model based on glycolysis genes has the highest area under the curve (AUC) in LIHC (Liver hepatocellular carcinoma). 8-gene signatures (AURKA, CDK1, CENPA, DEPDC1, HMMR, KIF20A, PFKFB4, STMN1) were related to overall survival (OS) and recurrence-free survival (RFS). Further analysis demonstrates that the prediction model can accurately distinguish between high- and low-risk cancer patients among patients in different clusters in LIHC. A nomogram with a well-fitted calibration curve based on gene expression profiles and clinical characteristics improves discrimination in internal and external cohorts. Furthermore, the altering expression of metabolic genes related to glycolysis may contribute to the reconstruction of the tumor-related microenvironment.

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