Association of HOTAIR (rs920778 and rs1899663) and NME1 (rs16949649 and rs2302254) gene polymorphisms with breast cancer risk in India.

Breast cancer (BC) Genetic susceptibility HOXTranscript Antisense Intergenic RNA (HOTAIR) Interaction Long non-coding RNAs (lncRNAs) Nucleoside diphosphate kinase 1 (NME1) Single Nucleotide Polymorphisms (SNPs)

Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
15 Dec 2020
Historique:
received: 19 05 2020
revised: 20 07 2020
accepted: 04 08 2020
pubmed: 12 8 2020
medline: 9 10 2020
entrez: 12 8 2020
Statut: ppublish

Résumé

Until now, no study has reported the combined effect of genetic variants of HOTAIR and NME1 towards breast cancer (BC) pathogenesis. Hence, the aim of the present study is to determine the risk of breast cancer development with HOTAIR (rs920778 C > T and rs1899663 G > T) and NME1 (rs16949649 T > C and rs2302254 C > T) genetic polymorphisms in the Indian population for the first time. To investigate the genetic association of these four SNPs, we conducted a population-based case-control study involving 1011 subjects (502 histologically confirmed BC patients and 509 disease-free controls) using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. HOTAIR rs920778 TC genotype elevated the risk of BC (OR = 1.39, 95% CI = 1.06-1.83, p = 0.018) and individuals carrying the mutant allele (T) of rs1899663 had increased BC risk (OR = 1.23, 95% CI = 1.02-1.47, p = 0.026). The presence of the NME1 rs16949649 CC genotype increased the risk of BC (OR = 1.76, 95% CI = 1.15-2.71, p = 0.009). Moreover, the HOTAIR rs920778 variant (TC + CC) increased the risk of BC in pre-menopausal women (OR = 5.86; p < 0.0001). Women carrying 2 or 3 mutant alleles for the investigated SNPs were observed to have an elevated risk of BC. The results of the present study highlight the presence of significant associations between NME1 rs16949649 and HOTAIR (rs920778 and rs1899663) polymorphisms and breast cancer development in Indian women.

Sections du résumé

BACKGROUND BACKGROUND
Until now, no study has reported the combined effect of genetic variants of HOTAIR and NME1 towards breast cancer (BC) pathogenesis. Hence, the aim of the present study is to determine the risk of breast cancer development with HOTAIR (rs920778 C > T and rs1899663 G > T) and NME1 (rs16949649 T > C and rs2302254 C > T) genetic polymorphisms in the Indian population for the first time.
MATERIALS AND METHODS METHODS
To investigate the genetic association of these four SNPs, we conducted a population-based case-control study involving 1011 subjects (502 histologically confirmed BC patients and 509 disease-free controls) using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.
RESULTS RESULTS
HOTAIR rs920778 TC genotype elevated the risk of BC (OR = 1.39, 95% CI = 1.06-1.83, p = 0.018) and individuals carrying the mutant allele (T) of rs1899663 had increased BC risk (OR = 1.23, 95% CI = 1.02-1.47, p = 0.026). The presence of the NME1 rs16949649 CC genotype increased the risk of BC (OR = 1.76, 95% CI = 1.15-2.71, p = 0.009). Moreover, the HOTAIR rs920778 variant (TC + CC) increased the risk of BC in pre-menopausal women (OR = 5.86; p < 0.0001). Women carrying 2 or 3 mutant alleles for the investigated SNPs were observed to have an elevated risk of BC.
CONCLUSION CONCLUSIONS
The results of the present study highlight the presence of significant associations between NME1 rs16949649 and HOTAIR (rs920778 and rs1899663) polymorphisms and breast cancer development in Indian women.

Identifiants

pubmed: 32781191
pii: S0378-1119(20)30702-2
doi: 10.1016/j.gene.2020.145033
pii:
doi:

Substances chimiques

HOTAIR long untranslated RNA, human 0
NM23 Nucleoside Diphosphate Kinases 0
RNA, Long Noncoding 0
NME1 protein, human EC 2.7.4.6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145033

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Taruna Rajagopal (T)

Cancer Genomics Laboratory, School of Chemical and Biotechnology, SASTRA - Deemed University, Thanjavur, India.

Arun Seshachalam (A)

Department of Medical and Paediatric Oncology, Dr.G.V.N Cancer Institute, Trichy, India.

R L Akshaya (RL)

Cancer Genomics Laboratory, School of Chemical and Biotechnology, SASTRA - Deemed University, Thanjavur, India.

Krishna Kumar Rathnam (KK)

Department of Hemato Oncology - Medical Oncology and Bone Marrow Transplantation, Meenakshi Mission Hospital & Research Centre, Madurai, India.

Srikanth Talluri (S)

Dana Farber Cancer Institute, Boston, MA, USA; Veterans Administration Boston Healthcare System, West Roxbury, MA, USA.

Arunachalam Jothi (A)

Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA - Deemed University, Thanjavur, India.

Nageswara Rao Dunna (NR)

Cancer Genomics Laboratory, School of Chemical and Biotechnology, SASTRA - Deemed University, Thanjavur, India. Electronic address: dnrao@biotech.sastra.edu.

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Classifications MeSH