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GSTM, GSTT and p53 polymorphisms as modifiers of clinical outcome in colorectal cancer.

Authors: Andras, Csejtei; Antal, Tibold; Zsuzsa, Varga; Katalin, Koltai; Agoston, Ember; Zsuzsa, Orsos; Gergely, Feher; +3 Authors

GSTM, GSTT and p53 polymorphisms as modifiers of clinical outcome in colorectal cancer.

Abstract

Cancer of the colorectal region is the second most frequent cause of death among malignant diseases. The influence of two allelic polymorphisms of GSTM1 and GSTT1, and that of p53 gene codon 72 on colon cancer was investigated.Intraoperatively removed tissue samples were processed from colorectal cancer patients. Cancer-free human samples were used as matched controls. Samples were digested with proteinase-K. DNA solution was used for PCR amplification.No significant difference was found between tumor patients and controls in the investigated polymorphisms. A significant association was found in Dukes' B stage patients between the GSTM1 and p53 gene variants and survival. In patients with GSTM1 null genotype and p53 Arg/Pro heterozygotes or Pro/Pro homozygotes the chance of survival is significantly lower than in the case of GSTM1+ and p53 Arg/Arg variants (p=0.009 and p=0.008, respectively).The significance of the investigated polymorphisms in prognosis is dependent on the tumor stage. These parameters might be used in certain cases as prognostic biomarkers in clinical diagnostics and in the planning of individual therapy.

Keywords

Male, Polymorphism, Genetic, Adenocarcinoma, Middle Aged, Genes, p53, Survival Rate, Humans, Female, Tumor Suppressor Protein p53, Colorectal Neoplasms, Alleles, Glutathione Transferase, Neoplasm Staging

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research