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MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India

BACKGROUND: MassARRAY (Agena Bioscience™) combines competitive PCR with MALDI-TOF mass spectrometry (MS) analysis that gives highly accurate, sensitive, and high-throughput methods for the quantitative analysis of variation of gene expression in multiple samples. SNPs (Single Nucleotide Polymorphism...

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Autores principales: Shah, Ruchi, Sharma, Varun, Bhat, Amrita, Singh, Hemender, Sharma, Indu, Verma, Sonali, Bhat, Gh. Rasool, Sharma, Bhanu, Bakshi, Divya, Kumar, Rakesh, Dar, Nazir Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268327/
https://www.ncbi.nlm.nih.gov/pubmed/32487238
http://dx.doi.org/10.1186/s12885-020-06991-2
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author Shah, Ruchi
Sharma, Varun
Bhat, Amrita
Singh, Hemender
Sharma, Indu
Verma, Sonali
Bhat, Gh. Rasool
Sharma, Bhanu
Bakshi, Divya
Kumar, Rakesh
Dar, Nazir Ahmed
author_facet Shah, Ruchi
Sharma, Varun
Bhat, Amrita
Singh, Hemender
Sharma, Indu
Verma, Sonali
Bhat, Gh. Rasool
Sharma, Bhanu
Bakshi, Divya
Kumar, Rakesh
Dar, Nazir Ahmed
author_sort Shah, Ruchi
collection PubMed
description BACKGROUND: MassARRAY (Agena Bioscience™) combines competitive PCR with MALDI-TOF mass spectrometry (MS) analysis that gives highly accurate, sensitive, and high-throughput methods for the quantitative analysis of variation of gene expression in multiple samples. SNPs (Single Nucleotide Polymorphisms) have a very high potential of discovering disease-gene relationships. SNP-genotyping through MassARRAY is not only a cost-effective genotyping method but also provides a platform to validate variants observed through a high-throughput Next-generation sequencing (NGS). METHODS: In the present study, we have incorporated the use of matrix-assisted laser desorption/ionization-time of flight, mass spectrometry (MALDI-TOF) as a tool for differentiating genotypes based on the mass of variant. We have performed multiplex PCR and genotyped 12 SNPs in 758 samples (166 cases and 592 controls). The 12 studied SNPs were chosen with a rationale for their association with multiple cancers in literature. RESULTS: This is the first study to explore these SNPs with esophageal cancer within the J&K population. Out of 12 SNPs, two SNPs rs12190287 of TCF21 and rs10046 of CYP19A1 were significantly associated with esophageal cancer with Odds Ratio (OR) 1.412 (1.09–1.8 at 95% CI, p = 0.008) and 1.54 (1.21–2.072 at 95% CI, p = 0.0007) within the population of Jammu and Kashmir. CONCLUSION: We explored 12 SNPs that were found to be associated with multiple cancers in literature with esophageal cancer within the population of J&K. This is the first study to find the relation of these SNPs with ESCC within the studied population. This study explores the relation of genetic and environmental factors with the ESCC susceptibility.
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spelling pubmed-72683272020-06-07 MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India Shah, Ruchi Sharma, Varun Bhat, Amrita Singh, Hemender Sharma, Indu Verma, Sonali Bhat, Gh. Rasool Sharma, Bhanu Bakshi, Divya Kumar, Rakesh Dar, Nazir Ahmed BMC Cancer Research Article BACKGROUND: MassARRAY (Agena Bioscience™) combines competitive PCR with MALDI-TOF mass spectrometry (MS) analysis that gives highly accurate, sensitive, and high-throughput methods for the quantitative analysis of variation of gene expression in multiple samples. SNPs (Single Nucleotide Polymorphisms) have a very high potential of discovering disease-gene relationships. SNP-genotyping through MassARRAY is not only a cost-effective genotyping method but also provides a platform to validate variants observed through a high-throughput Next-generation sequencing (NGS). METHODS: In the present study, we have incorporated the use of matrix-assisted laser desorption/ionization-time of flight, mass spectrometry (MALDI-TOF) as a tool for differentiating genotypes based on the mass of variant. We have performed multiplex PCR and genotyped 12 SNPs in 758 samples (166 cases and 592 controls). The 12 studied SNPs were chosen with a rationale for their association with multiple cancers in literature. RESULTS: This is the first study to explore these SNPs with esophageal cancer within the J&K population. Out of 12 SNPs, two SNPs rs12190287 of TCF21 and rs10046 of CYP19A1 were significantly associated with esophageal cancer with Odds Ratio (OR) 1.412 (1.09–1.8 at 95% CI, p = 0.008) and 1.54 (1.21–2.072 at 95% CI, p = 0.0007) within the population of Jammu and Kashmir. CONCLUSION: We explored 12 SNPs that were found to be associated with multiple cancers in literature with esophageal cancer within the population of J&K. This is the first study to find the relation of these SNPs with ESCC within the studied population. This study explores the relation of genetic and environmental factors with the ESCC susceptibility. BioMed Central 2020-06-01 /pmc/articles/PMC7268327/ /pubmed/32487238 http://dx.doi.org/10.1186/s12885-020-06991-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Shah, Ruchi
Sharma, Varun
Bhat, Amrita
Singh, Hemender
Sharma, Indu
Verma, Sonali
Bhat, Gh. Rasool
Sharma, Bhanu
Bakshi, Divya
Kumar, Rakesh
Dar, Nazir Ahmed
MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title_full MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title_fullStr MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title_full_unstemmed MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title_short MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India
title_sort massarray analysis of twelve cancer related snps in esophageal squamous cell carcinoma in j&k, india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268327/
https://www.ncbi.nlm.nih.gov/pubmed/32487238
http://dx.doi.org/10.1186/s12885-020-06991-2
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