Literature DB >> 33721012

Association between SNP rs527616 in lncRNA AQP4-AS1 and susceptibility to breast cancer in a southern Brazilian population.

Rafael D Marchi1, Carolina Mathias1, Gabriel A K Reiter1, Rubens Silveira de Lima2, Flávia Kuroda2, Cícero de Andrade Urban2, Ricardo L R de Souza1, Daniela F Gradia1, Enilze M S F Ribeiro1, Iglenir J Cavalli1, Jaqueline Carvalho de Oliveira1.   

Abstract

Breast cancer (BC) is the leading cause of death by this disease in women worldwide. Among the factors involved in tumorigenesis, long non-coding RNAs (lncRNAs) and their differential expression have been associated. Differences in gene expression may be triggered by variations in DNA sequence, including single nucleotide polymorphisms (SNPs). In the present study, we analyzed the rs527616 (C>G), located in the lncRNA AQP4-AS1, using PCR-SSP in 306 BC patients and 312 controls, from a Brazilian population. In the BC group, the frequency found for CG heterozygotes was above the expected and the overdominant model is the best one to explain our results (OR: 1.70, IC 95%: 1.23-2.34, P<0.001). Furthermore, the SNP were associated with age at BC diagnosis and the risk genotype more frequent in the older age group. According to TCGA data, AQP4-AS1 is down-regulated in BC tissue, and the overexpression is associated with better prognoses, including Luminal A, HER2-, stage 1 of disease and smaller tumor. In conclusion, the CG genotype is associated with increased susceptibility in the southern Brazilian population. This SNP is mapped in the lncRNA AQP4-AS1, showing differential expression in BC samples. Based on these results, we emphasize the potential of the role of AQP4-AS1 in cancer.

Entities:  

Year:  2021        PMID: 33721012     DOI: 10.1590/1678-4685-GMB-2020-0216

Source DB:  PubMed          Journal:  Genet Mol Biol        ISSN: 1415-4757            Impact factor:   1.771


  3 in total

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Journal:  Genes (Basel)       Date:  2022-03-25       Impact factor: 4.141

2.  Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC.

Authors:  Meng Li; Yanpeng Zhang; Meng Fan; Hui Ren; Mingwei Chen; Puyu Shi
Journal:  BMC Med Genomics       Date:  2021-12-03       Impact factor: 3.063

3.  Combined Transcriptomic and Metabolomic Analysis of Women with Polycystic Ovary Syndrome.

Authors:  Ye Tian-Min; Lin Suxia; Ding Shufang; Cao Dandan; Luo Long-Dan; Yeung William Shu Biu
Journal:  Dis Markers       Date:  2022-08-28       Impact factor: 3.464

  3 in total

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