scholarly journals Quantitative analysis of apoptosis-related gene expression in hepatocellular carcinoma

Cancer ◽  
2002 ◽  
Vol 95 (9) ◽  
pp. 1938-1945 ◽  
Author(s):  
Masahide Ikeguchi ◽  
Yasuaki Hirooka ◽  
Nobuaki Kaibara
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Quantitative Analysis ◽  
Related Gene ◽  
Apoptosis Related Gene

The effects of grape seed on apoptosis-related gene expression and oxidative stress in streptozotocin-induced diabetic rats

Renal Failure ◽  
2015 ◽  
Vol 37 (2) ◽  
pp. 192-197 ◽  
Author(s):  
Aydın Güçlü ◽  
Nilüfer Yonguç ◽  
Yavuz Dodurga ◽  
Gülşah Gündoğdu ◽  
Zuhal Güçlü ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Gene Expression ◽  
Grape Seed ◽  
Diabetic Rats ◽  
Related Gene ◽  
And Oxidative Stress ◽  
Apoptosis Related Gene

scholarly journals Apoptosis-related gene expression can predict the response of ovarian cancer cell lines to treatment with recombinant human TRAIL alone or combined with cisplatin

Clinics ◽  
2020 ◽  
Vol 75 ◽  
Author(s):  
Letícia da Conceição Braga ◽  
Nikole Gontijo Gonçales ◽  
Rafaela de Souza Furtado ◽  
Warne Pedro de Andrade ◽  
Luciana Maria Silva ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Ovarian Cancer Cell ◽  
Cancer Cell Lines ◽  
Related Gene ◽  
Ovarian Cancer Cell Lines ◽  
Apoptosis Related Gene

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.

Enhancement of Apoptosis-Related Gene Expression in Human Renal Graft Rejection

2000 ◽  
Vol 6 (S2) ◽  
pp. 626-627
Author(s):  
P. Y. Lau ◽  
J. Papadimitriou ◽  
C. Drachenberg ◽  
M. R. Weir ◽  
C. Wei
Keyword(s):  
Gene Expression ◽  
Kidney Transplantation ◽  
Graft Rejection ◽  
Human Kidney ◽  
Renal Tissue ◽  
Related Gene ◽  
Renal Graft ◽  
Normal Human ◽  
Apoptosis Related Gene ◽  
Renal Graft Rejection

Apoptosis or programmed cell death is involved in many diseases include end-stage renal failure. Apoptosis-related genes include both stimulate genes and inhibitory gene of apoptosis. The genes which stimulate apoptosis include p53 and p21-WAF. The genes which inhibit apoptosis include bcl-2 gene family. The mechanisms of apoptosis include p53-dependend pathway and p53- independent pathway. We hypothesized that apoptosis-related genes may activate in renal graft rejection after kidney transplantation. Therefore, the present study was designed to investigate apoptosis-related gene expression and localization by immunohistochemical staining (IHCS) in human renal tissues with graft rejection and compare with that in normal human renal tissue.Human renal biopsy (n=5) were obtained after kidney transplantation with mild and moderate renal rejection. Normal human kidney biopsy was obtained during nephrectomy. P53, p21-WAF and Bcl-2 levels in renal tissue were determined by IHCS. The results of IHCS was evaluated by IHCS staining density scores (0, no staining; 1, minimal staining; 2, mild staining; 3, moderate staining; and 4, strong staining).

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