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Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry
BACKGROUND: Detection of somatic mutations in tumor tissues helps to understand tumor biology and guide treatment selection. Methods such as quantitative PCR can analyze a few mutations with high efficiency, while next generation sequencing (NGS) based methods can analyze hundreds to thousands of mu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532609/ https://www.ncbi.nlm.nih.gov/pubmed/33008377 http://dx.doi.org/10.1186/s12920-020-00804-y |
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author | Xu, Chang Peng, Danli Li, Jialu Chen, Meihua Hu, Yujie Hou, Mingliang Shang, Qingjuan Liang, Qi Li, Jie Li, Wenfeng Wu, Xiaoli Liu, Changbao Hu, Wanle Cai, Mao Zhang, Huxiang Chen, Guorong Yu, Lingling Zheng, Xiaoqun Jiang, Feizhao Luan, Ju Jin, Shengnan Ding, Chunming |
author_facet | Xu, Chang Peng, Danli Li, Jialu Chen, Meihua Hu, Yujie Hou, Mingliang Shang, Qingjuan Liang, Qi Li, Jie Li, Wenfeng Wu, Xiaoli Liu, Changbao Hu, Wanle Cai, Mao Zhang, Huxiang Chen, Guorong Yu, Lingling Zheng, Xiaoqun Jiang, Feizhao Luan, Ju Jin, Shengnan Ding, Chunming |
author_sort | Xu, Chang |
collection | PubMed |
description | BACKGROUND: Detection of somatic mutations in tumor tissues helps to understand tumor biology and guide treatment selection. Methods such as quantitative PCR can analyze a few mutations with high efficiency, while next generation sequencing (NGS) based methods can analyze hundreds to thousands of mutations. However, there is a lack of cost-effective method for quantitatively analyzing tens to a few hundred mutations of potential biological and clinical significance. METHODS: Through a comprehensive database and literature review we selected 299 mutations associated with colorectal cancer. We then designed a highly multiplexed assay panel (8-wells covering 299 mutations in 109 genes) based on an automated MADLI-TOF mass spectrometry (MS) platform. The multiplex panel was tested with a total of 319 freshly frozen tissues and 92 FFPE samples from 229 colorectal cancer patients, with 13 samples also analyzed by a targeted NGS method covering 532 genes. RESULTS: Multiplex somatic mutation panel based on MALDI-TOF MS detected and quantified at least one somatic mutation in 142 patients, with KRAS, TP53 and APC being the most frequently mutated genes. Extensive validation by both capillary sequencing and targeted NGS demonstrated high accuracy of the multiplex MS assay. Out of 35 mutations tested with plasmid constructs, sensitivities of 5 and 10% mutant allele frequency were achieved for 19 and 16 mutations, respectively. CONCLUSIONS: Automated MALDI-TOF MS offers an efficient and cost-effective platform for highly multiplexed quantitation of 299 somatic mutations, which may be useful in studying the biological and clinical significance of somatic mutations with large numbers of cancer tissues. |
format | Online Article Text |
id | pubmed-7532609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75326092020-10-05 Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry Xu, Chang Peng, Danli Li, Jialu Chen, Meihua Hu, Yujie Hou, Mingliang Shang, Qingjuan Liang, Qi Li, Jie Li, Wenfeng Wu, Xiaoli Liu, Changbao Hu, Wanle Cai, Mao Zhang, Huxiang Chen, Guorong Yu, Lingling Zheng, Xiaoqun Jiang, Feizhao Luan, Ju Jin, Shengnan Ding, Chunming BMC Med Genomics Research Article BACKGROUND: Detection of somatic mutations in tumor tissues helps to understand tumor biology and guide treatment selection. Methods such as quantitative PCR can analyze a few mutations with high efficiency, while next generation sequencing (NGS) based methods can analyze hundreds to thousands of mutations. However, there is a lack of cost-effective method for quantitatively analyzing tens to a few hundred mutations of potential biological and clinical significance. METHODS: Through a comprehensive database and literature review we selected 299 mutations associated with colorectal cancer. We then designed a highly multiplexed assay panel (8-wells covering 299 mutations in 109 genes) based on an automated MADLI-TOF mass spectrometry (MS) platform. The multiplex panel was tested with a total of 319 freshly frozen tissues and 92 FFPE samples from 229 colorectal cancer patients, with 13 samples also analyzed by a targeted NGS method covering 532 genes. RESULTS: Multiplex somatic mutation panel based on MALDI-TOF MS detected and quantified at least one somatic mutation in 142 patients, with KRAS, TP53 and APC being the most frequently mutated genes. Extensive validation by both capillary sequencing and targeted NGS demonstrated high accuracy of the multiplex MS assay. Out of 35 mutations tested with plasmid constructs, sensitivities of 5 and 10% mutant allele frequency were achieved for 19 and 16 mutations, respectively. CONCLUSIONS: Automated MALDI-TOF MS offers an efficient and cost-effective platform for highly multiplexed quantitation of 299 somatic mutations, which may be useful in studying the biological and clinical significance of somatic mutations with large numbers of cancer tissues. BioMed Central 2020-10-02 /pmc/articles/PMC7532609/ /pubmed/33008377 http://dx.doi.org/10.1186/s12920-020-00804-y 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 Xu, Chang Peng, Danli Li, Jialu Chen, Meihua Hu, Yujie Hou, Mingliang Shang, Qingjuan Liang, Qi Li, Jie Li, Wenfeng Wu, Xiaoli Liu, Changbao Hu, Wanle Cai, Mao Zhang, Huxiang Chen, Guorong Yu, Lingling Zheng, Xiaoqun Jiang, Feizhao Luan, Ju Jin, Shengnan Ding, Chunming Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title | Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title_full | Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title_fullStr | Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title_full_unstemmed | Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title_short | Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry |
title_sort | highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated maldi-tof mass spectrometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532609/ https://www.ncbi.nlm.nih.gov/pubmed/33008377 http://dx.doi.org/10.1186/s12920-020-00804-y |
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