Shorouk Eldash
Egypt
Studying the Association of Genetic Variations in Long Intergenic Noncoding RNA 00511 (LINC00511) with Breast Cancer Among the Egyptian Population
Shorouk Eldash1, Dina Nada1, Eman F. Sanad2, Reham A.A. Elshimy3 and Nadia M. Hamdy2
1Pharmacology and Biochemistry Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt
2Biochemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
3Clinical and Chemical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
Abstract
Background
Millions of women are affected by breast cancer (BC), the most frequent malignancy among women worldwide. Studies have revealed that LINC00511 can promote tumor development and metastasis and is frequently overexpressed in cancer including breast cancer (BC). The genomic region of long non-coding RNAs (lncRNAs) contain a number of single nucleotide polymorphisms (SNPs), which are linked to the carcinogenesis of numerous malignancies. Assessing whether LINC00511 SNPs may be associated with BC risk in the Egyptian population is the aim of the current study.
Methods
Five SNPs of LINC00511 were genotyped in a case-control study including 267 BC cases and 150 controls. Logistic regression analysis was used to test the association between LINC00511 SNPs and BC risk.
Results
We found that the TT genotype of SNP 1 significantly increased BC risk whereas the TT genotype of SNP 2 was associated with reduced BC susceptibility. SNPs 1,3 and 4 were significantly associated with progesterone receptor (PR), tumor stage and no lymph node metastasis, respectively. SNPs 1 and 3 were associated with increased risk of luminal A BC and luminal B BC subtypes, respectively. On the other hand, in the recessive model, SNP 2 was associated with decreased risk of luminal B BC subtype.
Conclusions
These findings suggest that LINC00511 SNPs 1 and 2 were associated with BC susceptibility in the Egyptian population and SNPs 1,2 and 3 were associated with different BC subtypes and tumor characteristics.
Leave A Comment