Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry

Abstract 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 thousan...

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Main Authors: Chang Xu (Author), Danli Peng (Author), Jialu Li (Author), Meihua Chen (Author), Yujie Hu (Author), Mingliang Hou (Author), Qingjuan Shang (Author), Qi Liang (Author), Jie Li (Author), Wenfeng Li (Author), Xiaoli Wu (Author), Changbao Liu (Author), Wanle Hu (Author), Mao Cai (Author), Huxiang Zhang (Author), Guorong Chen (Author), Lingling Yu (Author), Xiaoqun Zheng (Author), Feizhao Jiang (Author), Ju Luan (Author), Shengnan Jin (Author), Chunming Ding (Author)
Format: Book
Published: BMC, 2020-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Chang Xu  |e author 
700 1 0 |a Danli Peng  |e author 
700 1 0 |a Jialu Li  |e author 
700 1 0 |a Meihua Chen  |e author 
700 1 0 |a Yujie Hu  |e author 
700 1 0 |a Mingliang Hou  |e author 
700 1 0 |a Qingjuan Shang  |e author 
700 1 0 |a Qi Liang  |e author 
700 1 0 |a Jie Li  |e author 
700 1 0 |a Wenfeng Li  |e author 
700 1 0 |a Xiaoli Wu  |e author 
700 1 0 |a Changbao Liu  |e author 
700 1 0 |a Wanle Hu  |e author 
700 1 0 |a Mao Cai  |e author 
700 1 0 |a Huxiang Zhang  |e author 
700 1 0 |a Guorong Chen  |e author 
700 1 0 |a Lingling Yu  |e author 
700 1 0 |a Xiaoqun Zheng  |e author 
700 1 0 |a Feizhao Jiang  |e author 
700 1 0 |a Ju Luan  |e author 
700 1 0 |a Shengnan Jin  |e author 
700 1 0 |a Chunming Ding  |e author 
245 0 0 |a Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry 
260 |b BMC,   |c 2020-10-01T00:00:00Z. 
500 |a 10.1186/s12920-020-00804-y 
500 |a 1755-8794 
520 |a Abstract 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. 
546 |a EN 
690 |a Somatic mutation 
690 |a Colorectal cancer 
690 |a MALDI-TOF mass spectrometry 
690 |a Multiplex detection 
690 |a Internal medicine 
690 |a RC31-1245 
690 |a Genetics 
690 |a QH426-470 
655 7 |a article  |2 local 
786 0 |n BMC Medical Genomics, Vol 13, Iss 1, Pp 1-10 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12920-020-00804-y 
787 0 |n https://doaj.org/toc/1755-8794 
856 4 1 |u https://doaj.org/article/0bc5a1db3f2f44f88de0f077b70f45f4  |z Connect to this object online.