GGCn polymorphism of eRF3a/GSPT1 gene and breast cancer susceptibility.

Med Oncol

Department of Biology, Faculty of Sciences, University of Isfahan, Hezar-Jarib, Isfahan, Iran.

Published: September 2012

The significance of translation regulatory factors in elevating the risk of cancer has been recently recognized. Eukaryotic release factor 3a (eRF3a) is a translation termination protein that is encoded by G1 to S phase transition 1 gene (GSPT1). The eRF3a/GSPT1 exon 1 contains a trinucleotide GGC repeat coding for a polyglycine expansion in the N-terminal of the protein. In the present study, we determined the allelic length of the GGC(n) repeat in the eRF3a gene in 250 women with breast cancer and 250 age-matched controls. Our results show that the presence of the longer allele, 12-GGC, is correlated with threefold increased risk of breast cancer development. Our findings also suggest that women who are homozygous for 7-GGC allele are possibly at higher risk of developing breast cancer, especially before the age of 50. No significant effect of the allelic length of eRF3a/GSPT1 polymorphism on inheritance or the grade of this disease was observed.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12032-011-0111-xDOI Listing

Publication Analysis

Top Keywords

breast cancer
16
allelic length
8
cancer
5
ggcn polymorphism
4
polymorphism erf3a/gspt1
4
erf3a/gspt1 gene
4
breast
4
gene breast
4
cancer susceptibility
4
susceptibility significance
4

Similar Publications

GradeDiff-IM: An Ensembles Model-based Grade Classification of Breast Cancer.

Biomed Phys Eng Express

January 2025

School of Engineering and Computing, University of the West of Scotland, University of the West of Scotland - Paisley Campus, Paisley PA1 2BE, UK, City, Paisley, PA1 2BE, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Cancer grade classification is a challenging task identified from the cell structure of healthy and abnormal tissues. The partitioner learns about the malignant cell through the grading and plans the treatment strategy accordingly. A major portion of researchers used DL models for grade classification.

View Article and Find Full Text PDF

Background: Bangladesh and West Bengal, India, are 2 densely populated South Asian neighboring regions with many socioeconomic and cultural similarities. In dealing with breast cancer (BC)-related issues, statistics show that people from these regions are having similar problems and fates. According to the Global Cancer Statistics 2020 and 2012 reports, for BC (particularly female BC), the age-standardized incidence rate is approximately 22 to 25 per 100,000 people, and the age-standardized mortality rate is approximately 11 to 13 per 100,000 for these areas.

View Article and Find Full Text PDF

Purpose: Breast cancer ranks as the most prevalent cancer in women, characterized by heightened fatty acid synthesis and glycolytic activity. Fatty acid synthase (FASN) is prominently expressed in breast cancer cells, regulating fatty acid synthesis, thereby enhancing tumor growth and migration, and leading to radioresistance. This study aims to investigate how FASN inhibition affects cell proliferation, migration, and radioresistance in breast cancer, as well as the mechanisms involved.

View Article and Find Full Text PDF

Triple negative breast cancers often contain higher numbers of tumour-infiltrating lymphocytes compared with other breast cancer subtypes, with their number correlating with prolonged survival. Since little is known about tumour-infiltrating lymphocyte trafficking in triple negative breast cancers, we investigated the relationship between tumour-infiltrating lymphocytes and the vascular compartment to better understand the immune tumour microenvironment in this aggressive cancer type. We aimed to identify mechanisms and signaling pathways responsible for immune cell trafficking in triple negative breast cancers, specifically of basal type, that could potentially be manipulated to change such tumours from immune "cold" to "hot" thereby increasing the likelihood of successful immunotherapy in this challenging patient population.

View Article and Find Full Text PDF

This study presents a novel approach to modeling breast cancer dynamics, one of the most significant health threats to women worldwide. Utilizing a piecewise mathematical framework, we incorporate both deterministic and stochastic elements of cancer progression. The model is divided into three distinct phases: (1) initial growth, characterized by a constant-order Caputo proportional operator (CPC), (2) intermediate growth, modeled by a variable-order CPC, and (3) advanced stages, capturing stochastic fluctuations in cancer cell populations using a stochastic operator.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!