Dan Stetson, Paul Labrousse, Hugh Russell, David Shera, Chris Abbosh, Brian Dougherty, J. Carl Barrett, Darren Hodgson, James Hadfield
{"title":"下一代MRD分析:我们有合适的工具来评估它们吗?","authors":"Dan Stetson, Paul Labrousse, Hugh Russell, David Shera, Chris Abbosh, Brian Dougherty, J. Carl Barrett, Darren Hodgson, James Hadfield","doi":"arxiv-2311.00015","DOIUrl":null,"url":null,"abstract":"Circulating tumour DNA (ctDNA) detection of molecular residual disease (MRD)\nin solid tumours correlates strongly with patient outcomes and is being adopted\nas a new clinical standard. ctDNA levels are known to correlate with tumor\nvolume, and although the absolute levels vary across indication and histology,\nits analysis is driving the adoption of MRD. MRD assays must detect tumor when\nimaging cannot and, as such, require very high sensitivity to detect the low\nlevels of ctDNA found after curative intent therapy. The minimum threshold is\n0.01% Tumour Fraction but current methods like Archer and Signatera are limited\nby detection sensitivity resulting in some patients receiving a false negative\ncall thereby missing out on earlier therapeutic intervention. Multiple vendors\nare increasing the number of somatic variants tracked in tumour-informed and\npersonalized NGS assays, from tens to thousands of variants. Most recently,\nassays using other biological features of ctDNA, e.g methylation or\nfragmentome, have been developed at the LOD required for clinical utility.\nThese uniformed, or tumour-naive and non-personalised assays may be more\neasily, and therefore more rapidly, adopted in the clinic. However, this rapid\ndevelopment in MRD assay technology results in significant challenges in\nbenchmarking these new technologies for use in clinical trials. This is further\ncomplicated by the fact that previous reference materials have focused on\nsomatic variants, and do not retain all of the epigenomic features assessed by\nnewer technologies. In this Comments and Controversy paper, we detail what is\nknown and what remains to be determined for optimal reference materials of MRD\nmethods and provide opinions generated during three-years of MRD technology\nbenchmarking in AstraZeneca Translational Medicine to help guide the community\nconversation.","PeriodicalId":501219,"journal":{"name":"arXiv - QuanBio - Other Quantitative Biology","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Next-generation MRD assays: do we have the tools to evaluate them properly?\",\"authors\":\"Dan Stetson, Paul Labrousse, Hugh Russell, David Shera, Chris Abbosh, Brian Dougherty, J. Carl Barrett, Darren Hodgson, James Hadfield\",\"doi\":\"arxiv-2311.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Circulating tumour DNA (ctDNA) detection of molecular residual disease (MRD)\\nin solid tumours correlates strongly with patient outcomes and is being adopted\\nas a new clinical standard. ctDNA levels are known to correlate with tumor\\nvolume, and although the absolute levels vary across indication and histology,\\nits analysis is driving the adoption of MRD. MRD assays must detect tumor when\\nimaging cannot and, as such, require very high sensitivity to detect the low\\nlevels of ctDNA found after curative intent therapy. The minimum threshold is\\n0.01% Tumour Fraction but current methods like Archer and Signatera are limited\\nby detection sensitivity resulting in some patients receiving a false negative\\ncall thereby missing out on earlier therapeutic intervention. Multiple vendors\\nare increasing the number of somatic variants tracked in tumour-informed and\\npersonalized NGS assays, from tens to thousands of variants. Most recently,\\nassays using other biological features of ctDNA, e.g methylation or\\nfragmentome, have been developed at the LOD required for clinical utility.\\nThese uniformed, or tumour-naive and non-personalised assays may be more\\neasily, and therefore more rapidly, adopted in the clinic. However, this rapid\\ndevelopment in MRD assay technology results in significant challenges in\\nbenchmarking these new technologies for use in clinical trials. This is further\\ncomplicated by the fact that previous reference materials have focused on\\nsomatic variants, and do not retain all of the epigenomic features assessed by\\nnewer technologies. In this Comments and Controversy paper, we detail what is\\nknown and what remains to be determined for optimal reference materials of MRD\\nmethods and provide opinions generated during three-years of MRD technology\\nbenchmarking in AstraZeneca Translational Medicine to help guide the community\\nconversation.\",\"PeriodicalId\":501219,\"journal\":{\"name\":\"arXiv - QuanBio - Other Quantitative Biology\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Other Quantitative Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2311.00015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2311.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Next-generation MRD assays: do we have the tools to evaluate them properly?
Circulating tumour DNA (ctDNA) detection of molecular residual disease (MRD)
in solid tumours correlates strongly with patient outcomes and is being adopted
as a new clinical standard. ctDNA levels are known to correlate with tumor
volume, and although the absolute levels vary across indication and histology,
its analysis is driving the adoption of MRD. MRD assays must detect tumor when
imaging cannot and, as such, require very high sensitivity to detect the low
levels of ctDNA found after curative intent therapy. The minimum threshold is
0.01% Tumour Fraction but current methods like Archer and Signatera are limited
by detection sensitivity resulting in some patients receiving a false negative
call thereby missing out on earlier therapeutic intervention. Multiple vendors
are increasing the number of somatic variants tracked in tumour-informed and
personalized NGS assays, from tens to thousands of variants. Most recently,
assays using other biological features of ctDNA, e.g methylation or
fragmentome, have been developed at the LOD required for clinical utility.
These uniformed, or tumour-naive and non-personalised assays may be more
easily, and therefore more rapidly, adopted in the clinic. However, this rapid
development in MRD assay technology results in significant challenges in
benchmarking these new technologies for use in clinical trials. This is further
complicated by the fact that previous reference materials have focused on
somatic variants, and do not retain all of the epigenomic features assessed by
newer technologies. In this Comments and Controversy paper, we detail what is
known and what remains to be determined for optimal reference materials of MRD
methods and provide opinions generated during three-years of MRD technology
benchmarking in AstraZeneca Translational Medicine to help guide the community
conversation.