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Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC)
To overcome the dependency of strategies utilizing cell‐free DNA (cfDNA) on tissue sampling, the emergence of sequencing panels for non‐invasive mutation screening was promoted. However, cfDNA sequencing with panels still suffers from either inaccuracy or omission, and novel approaches for accuratel...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483605/ https://www.ncbi.nlm.nih.gov/pubmed/37496285 http://dx.doi.org/10.1002/1878-0261.13498 |
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author | Chen, Geng Peng, Fang Dong, Xiuqing Cai, Zhixiong Li, Zhenli He, Lei Hu, Jinpan Deng, Xiaoxu Guo, Yutong Qiu, Liman Zhou, Yang Liu, Jingfeng Zhang, Huqin Liu, Xiaolong |
author_facet | Chen, Geng Peng, Fang Dong, Xiuqing Cai, Zhixiong Li, Zhenli He, Lei Hu, Jinpan Deng, Xiaoxu Guo, Yutong Qiu, Liman Zhou, Yang Liu, Jingfeng Zhang, Huqin Liu, Xiaolong |
author_sort | Chen, Geng |
collection | PubMed |
description | To overcome the dependency of strategies utilizing cell‐free DNA (cfDNA) on tissue sampling, the emergence of sequencing panels for non‐invasive mutation screening was promoted. However, cfDNA sequencing with panels still suffers from either inaccuracy or omission, and novel approaches for accurately screening tumor mutations solely based on plasma without gene panel restriction are urgently needed. We performed unique molecular identifier (UMI) target sequencing on plasma samples and peripheral blood mononuclear cells (PBMCs) from 85 hepatocellular carcinoma (HCC) patients receiving surgical resection, which were divided into an exploration dataset (20 patients) or an evaluation dataset (65 patients). Plasma mutations were identified in pre‐operative plasma, and the mutation variant frequency change (MVFC) between post‐ and pre‐operative plasma was then calculated. In the exploration dataset, we observed that plasma mutations with MVFC < 0.2 were enriched for tumor mutations identified in tumor tissues and had frequency changes that correlated with tumor burden; these plasma mutations were therefore defined as MVFC‐identified tumor mutations. The presence of MVFC‐identified tumor mutations after surgery was related to shorter relapse‐free survival (RFS) in both datasets and thus indicated minimum residual disease (MRD). The combination of MVFC‐identified tumor mutations and Alpha Fetoprotein (AFP) could further improve MRD detection (P < 0.0001). Identification of tumor mutations based on MVFC was also confirmed to be applicable with a different gene panel. Overall, we proposed a novel strategy for non‐invasive tumor mutation screening using solely plasma that could be utilized in HCC tumor‐burden monitoring and MRD detection. |
format | Online Article Text |
id | pubmed-10483605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104836052023-09-08 Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) Chen, Geng Peng, Fang Dong, Xiuqing Cai, Zhixiong Li, Zhenli He, Lei Hu, Jinpan Deng, Xiaoxu Guo, Yutong Qiu, Liman Zhou, Yang Liu, Jingfeng Zhang, Huqin Liu, Xiaolong Mol Oncol Research Articles To overcome the dependency of strategies utilizing cell‐free DNA (cfDNA) on tissue sampling, the emergence of sequencing panels for non‐invasive mutation screening was promoted. However, cfDNA sequencing with panels still suffers from either inaccuracy or omission, and novel approaches for accurately screening tumor mutations solely based on plasma without gene panel restriction are urgently needed. We performed unique molecular identifier (UMI) target sequencing on plasma samples and peripheral blood mononuclear cells (PBMCs) from 85 hepatocellular carcinoma (HCC) patients receiving surgical resection, which were divided into an exploration dataset (20 patients) or an evaluation dataset (65 patients). Plasma mutations were identified in pre‐operative plasma, and the mutation variant frequency change (MVFC) between post‐ and pre‐operative plasma was then calculated. In the exploration dataset, we observed that plasma mutations with MVFC < 0.2 were enriched for tumor mutations identified in tumor tissues and had frequency changes that correlated with tumor burden; these plasma mutations were therefore defined as MVFC‐identified tumor mutations. The presence of MVFC‐identified tumor mutations after surgery was related to shorter relapse‐free survival (RFS) in both datasets and thus indicated minimum residual disease (MRD). The combination of MVFC‐identified tumor mutations and Alpha Fetoprotein (AFP) could further improve MRD detection (P < 0.0001). Identification of tumor mutations based on MVFC was also confirmed to be applicable with a different gene panel. Overall, we proposed a novel strategy for non‐invasive tumor mutation screening using solely plasma that could be utilized in HCC tumor‐burden monitoring and MRD detection. John Wiley and Sons Inc. 2023-08-07 /pmc/articles/PMC10483605/ /pubmed/37496285 http://dx.doi.org/10.1002/1878-0261.13498 Text en © 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Chen, Geng Peng, Fang Dong, Xiuqing Cai, Zhixiong Li, Zhenli He, Lei Hu, Jinpan Deng, Xiaoxu Guo, Yutong Qiu, Liman Zhou, Yang Liu, Jingfeng Zhang, Huqin Liu, Xiaolong Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title | Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title_full | Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title_fullStr | Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title_full_unstemmed | Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title_short | Identification of tumor mutations in plasma based on mutation variant frequency change (MVFC) |
title_sort | identification of tumor mutations in plasma based on mutation variant frequency change (mvfc) |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483605/ https://www.ncbi.nlm.nih.gov/pubmed/37496285 http://dx.doi.org/10.1002/1878-0261.13498 |
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