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Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer
Background Postoperative minimal residual disease (MRD) detection using circulating-tumour DNA (ctDNA) requires a highly sensitive analysis platform. We have developed a tumour-informed, hybrid-capture ctDNA sequencing MRD assay. Methods Personalised target-capture panels for ctDNA detection were de...
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Published in: | British journal of cancer 2023-08, Vol.129 (2), p.374-381 |
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container_title | British journal of cancer |
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creator | Ryoo, Seung-Bum Heo, Sunghoon Lim, Yoojoo Lee, Wookjae Cho, Su Han Ahn, Jongseong Kang, Jun-Kyu Kim, Su Yeon Kim, Hwang-Phill Bang, Duhee Kang, Sung-Bum Yu, Chang Sik Oh, Seong Taek Park, Ji Won Jeong, Seung-Yong Kim, Young-Joon Park, Kyu Joo Han, Sae-Won Kim, Tae-You |
description | Background
Postoperative minimal residual disease (MRD) detection using circulating-tumour DNA (ctDNA) requires a highly sensitive analysis platform. We have developed a tumour-informed, hybrid-capture ctDNA sequencing MRD assay.
Methods
Personalised target-capture panels for ctDNA detection were designed using individual variants identified in tumour whole-exome sequencing of each patient. MRD status was determined using ultra-high-depth sequencing data of plasma cell-free DNA. The MRD positivity and its association with clinical outcome were analysed in Stage II or III colorectal cancer (CRC).
Results
In 98 CRC patients, personalised panels for ctDNA sequencing were built from tumour data, including a median of 185 variants per patient. In silico simulation showed that increasing the number of target variants increases MRD detection sensitivity in low fractions ( |
doi_str_mv | 10.1038/s41416-023-02300-3 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10338477</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2836124068</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-a8ec298b0992e67b0360c10abed7cc8550fee42cefeffcc00166fede8da9dfaa3</originalsourceid><addsrcrecordid>eNp9UcluFDEQtRCIDIEf4IAsceHSUF6m231CUVilCDjA2apxV3cceexgd0-U3-CL8WRCWA4cLLv0lirXY-ypgJcClHlVtNCibUCq_QFo1D22EmslG2Fkd5-tAKBroJdwxB6VclHLHkz3kB2pThrQQq3Yjy-US4oYfKGBO5_dEnD2ceLzsk1L5m8-nXAsBa_5lZ_PecA8UVMcBuLbZa7UFLlLO8o4ER9T5oVi8bPfVdxHv8XAMxU_LPUx1CZYiA80k7tR-r04pFzLijuMjvJj9mDEUOjJ7X3Mvr17-_X0Q3P2-f3H05OzxuluPTdoyMnebKDvJbXdBlQLTgBuaOicM-s1jERaOhppHJ0DEG070kBmwH4YEdUxe33wvVw2WxocxTljsJe5Dp2vbUJv_0aiP7dT2tm6fGV011WHF7cOOX1fqMx264ujEDBSWoqVRirda933lfr8H-pF3W7d-56lWiE1tKay5IHlciol03g3jYB9W2MPmduat73J3KoqevbnP-4kv0KuBHUglArFifLv3v-x_Qnu7b0G</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2836124068</pqid></control><display><type>article</type><title>Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer</title><source>Springer Link</source><source>PubMed Central</source><creator>Ryoo, Seung-Bum ; Heo, Sunghoon ; Lim, Yoojoo ; Lee, Wookjae ; Cho, Su Han ; Ahn, Jongseong ; Kang, Jun-Kyu ; Kim, Su Yeon ; Kim, Hwang-Phill ; Bang, Duhee ; Kang, Sung-Bum ; Yu, Chang Sik ; Oh, Seong Taek ; Park, Ji Won ; Jeong, Seung-Yong ; Kim, Young-Joon ; Park, Kyu Joo ; Han, Sae-Won ; Kim, Tae-You</creator><creatorcontrib>Ryoo, Seung-Bum ; Heo, Sunghoon ; Lim, Yoojoo ; Lee, Wookjae ; Cho, Su Han ; Ahn, Jongseong ; Kang, Jun-Kyu ; Kim, Su Yeon ; Kim, Hwang-Phill ; Bang, Duhee ; Kang, Sung-Bum ; Yu, Chang Sik ; Oh, Seong Taek ; Park, Ji Won ; Jeong, Seung-Yong ; Kim, Young-Joon ; Park, Kyu Joo ; Han, Sae-Won ; Kim, Tae-You</creatorcontrib><description>Background
Postoperative minimal residual disease (MRD) detection using circulating-tumour DNA (ctDNA) requires a highly sensitive analysis platform. We have developed a tumour-informed, hybrid-capture ctDNA sequencing MRD assay.
Methods
Personalised target-capture panels for ctDNA detection were designed using individual variants identified in tumour whole-exome sequencing of each patient. MRD status was determined using ultra-high-depth sequencing data of plasma cell-free DNA. The MRD positivity and its association with clinical outcome were analysed in Stage II or III colorectal cancer (CRC).
Results
In 98 CRC patients, personalised panels for ctDNA sequencing were built from tumour data, including a median of 185 variants per patient. In silico simulation showed that increasing the number of target variants increases MRD detection sensitivity in low fractions (<0.01%). At postoperative 3-week, 21.4% of patients were positive for MRD by ctDNA. Postoperative positive MRD was strongly associated with poor disease-free survival (DFS) (adjusted hazard ratio 8.40, 95% confidence interval 3.49–20.2). Patients with a negative conversion of MRD after adjuvant therapy showed significantly better DFS (
P
< 0.001).
Conclusion
Tumour-informed, hybrid-capture-based ctDNA assay monitoring a large number of patient-specific mutations is a sensitive strategy for MRD detection to predict recurrence in CRC.</description><identifier>ISSN: 0007-0920</identifier><identifier>EISSN: 1532-1827</identifier><identifier>DOI: 10.1038/s41416-023-02300-3</identifier><identifier>PMID: 37280413</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4028/67/1504/1885/1393 ; 692/4028/67/1504/1885/1777 ; 692/53/2422 ; Bioassays ; Biomarkers, Tumor - genetics ; Biomedical and Life Sciences ; Biomedicine ; Cancer Research ; Circulating Tumor DNA - genetics ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - genetics ; Deoxyribonucleic acid ; Disease-Free Survival ; DNA ; Drug Resistance ; Epidemiology ; Humans ; Minimal residual disease ; Molecular Medicine ; Mutation ; Neoplasm, Residual - genetics ; Oncology ; Patients ; Tumors</subject><ispartof>British journal of cancer, 2023-08, Vol.129 (2), p.374-381</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-a8ec298b0992e67b0360c10abed7cc8550fee42cefeffcc00166fede8da9dfaa3</citedby><cites>FETCH-LOGICAL-c475t-a8ec298b0992e67b0360c10abed7cc8550fee42cefeffcc00166fede8da9dfaa3</cites><orcidid>0000-0003-3275-431X ; 0000-0003-0046-8175 ; 0000-0001-6407-0444 ; 0000-0001-5220-0352</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338477/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338477/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,730,783,787,888,27936,27937,53804,53806</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37280413$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ryoo, Seung-Bum</creatorcontrib><creatorcontrib>Heo, Sunghoon</creatorcontrib><creatorcontrib>Lim, Yoojoo</creatorcontrib><creatorcontrib>Lee, Wookjae</creatorcontrib><creatorcontrib>Cho, Su Han</creatorcontrib><creatorcontrib>Ahn, Jongseong</creatorcontrib><creatorcontrib>Kang, Jun-Kyu</creatorcontrib><creatorcontrib>Kim, Su Yeon</creatorcontrib><creatorcontrib>Kim, Hwang-Phill</creatorcontrib><creatorcontrib>Bang, Duhee</creatorcontrib><creatorcontrib>Kang, Sung-Bum</creatorcontrib><creatorcontrib>Yu, Chang Sik</creatorcontrib><creatorcontrib>Oh, Seong Taek</creatorcontrib><creatorcontrib>Park, Ji Won</creatorcontrib><creatorcontrib>Jeong, Seung-Yong</creatorcontrib><creatorcontrib>Kim, Young-Joon</creatorcontrib><creatorcontrib>Park, Kyu Joo</creatorcontrib><creatorcontrib>Han, Sae-Won</creatorcontrib><creatorcontrib>Kim, Tae-You</creatorcontrib><title>Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer</title><title>British journal of cancer</title><addtitle>Br J Cancer</addtitle><addtitle>Br J Cancer</addtitle><description>Background
Postoperative minimal residual disease (MRD) detection using circulating-tumour DNA (ctDNA) requires a highly sensitive analysis platform. We have developed a tumour-informed, hybrid-capture ctDNA sequencing MRD assay.
Methods
Personalised target-capture panels for ctDNA detection were designed using individual variants identified in tumour whole-exome sequencing of each patient. MRD status was determined using ultra-high-depth sequencing data of plasma cell-free DNA. The MRD positivity and its association with clinical outcome were analysed in Stage II or III colorectal cancer (CRC).
Results
In 98 CRC patients, personalised panels for ctDNA sequencing were built from tumour data, including a median of 185 variants per patient. In silico simulation showed that increasing the number of target variants increases MRD detection sensitivity in low fractions (<0.01%). At postoperative 3-week, 21.4% of patients were positive for MRD by ctDNA. Postoperative positive MRD was strongly associated with poor disease-free survival (DFS) (adjusted hazard ratio 8.40, 95% confidence interval 3.49–20.2). Patients with a negative conversion of MRD after adjuvant therapy showed significantly better DFS (
P
< 0.001).
Conclusion
Tumour-informed, hybrid-capture-based ctDNA assay monitoring a large number of patient-specific mutations is a sensitive strategy for MRD detection to predict recurrence in CRC.</description><subject>692/4028/67/1504/1885/1393</subject><subject>692/4028/67/1504/1885/1777</subject><subject>692/53/2422</subject><subject>Bioassays</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Circulating Tumor DNA - genetics</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Deoxyribonucleic acid</subject><subject>Disease-Free Survival</subject><subject>DNA</subject><subject>Drug Resistance</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Minimal residual disease</subject><subject>Molecular Medicine</subject><subject>Mutation</subject><subject>Neoplasm, Residual - genetics</subject><subject>Oncology</subject><subject>Patients</subject><subject>Tumors</subject><issn>0007-0920</issn><issn>1532-1827</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UcluFDEQtRCIDIEf4IAsceHSUF6m231CUVilCDjA2apxV3cceexgd0-U3-CL8WRCWA4cLLv0lirXY-ypgJcClHlVtNCibUCq_QFo1D22EmslG2Fkd5-tAKBroJdwxB6VclHLHkz3kB2pThrQQq3Yjy-US4oYfKGBO5_dEnD2ceLzsk1L5m8-nXAsBa_5lZ_PecA8UVMcBuLbZa7UFLlLO8o4ER9T5oVi8bPfVdxHv8XAMxU_LPUx1CZYiA80k7tR-r04pFzLijuMjvJj9mDEUOjJ7X3Mvr17-_X0Q3P2-f3H05OzxuluPTdoyMnebKDvJbXdBlQLTgBuaOicM-s1jERaOhppHJ0DEG070kBmwH4YEdUxe33wvVw2WxocxTljsJe5Dp2vbUJv_0aiP7dT2tm6fGV011WHF7cOOX1fqMx264ujEDBSWoqVRirda933lfr8H-pF3W7d-56lWiE1tKay5IHlciol03g3jYB9W2MPmduat73J3KoqevbnP-4kv0KuBHUglArFifLv3v-x_Qnu7b0G</recordid><startdate>20230810</startdate><enddate>20230810</enddate><creator>Ryoo, Seung-Bum</creator><creator>Heo, Sunghoon</creator><creator>Lim, Yoojoo</creator><creator>Lee, Wookjae</creator><creator>Cho, Su Han</creator><creator>Ahn, Jongseong</creator><creator>Kang, Jun-Kyu</creator><creator>Kim, Su Yeon</creator><creator>Kim, Hwang-Phill</creator><creator>Bang, Duhee</creator><creator>Kang, Sung-Bum</creator><creator>Yu, Chang Sik</creator><creator>Oh, Seong Taek</creator><creator>Park, Ji Won</creator><creator>Jeong, Seung-Yong</creator><creator>Kim, Young-Joon</creator><creator>Park, Kyu Joo</creator><creator>Han, Sae-Won</creator><creator>Kim, Tae-You</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3275-431X</orcidid><orcidid>https://orcid.org/0000-0003-0046-8175</orcidid><orcidid>https://orcid.org/0000-0001-6407-0444</orcidid><orcidid>https://orcid.org/0000-0001-5220-0352</orcidid></search><sort><creationdate>20230810</creationdate><title>Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer</title><author>Ryoo, Seung-Bum ; Heo, Sunghoon ; Lim, Yoojoo ; Lee, Wookjae ; Cho, Su Han ; Ahn, Jongseong ; Kang, Jun-Kyu ; Kim, Su Yeon ; Kim, Hwang-Phill ; Bang, Duhee ; Kang, Sung-Bum ; Yu, Chang Sik ; Oh, Seong Taek ; Park, Ji Won ; Jeong, Seung-Yong ; Kim, Young-Joon ; Park, Kyu Joo ; Han, Sae-Won ; Kim, Tae-You</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-a8ec298b0992e67b0360c10abed7cc8550fee42cefeffcc00166fede8da9dfaa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>692/4028/67/1504/1885/1393</topic><topic>692/4028/67/1504/1885/1777</topic><topic>692/53/2422</topic><topic>Bioassays</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer Research</topic><topic>Circulating Tumor DNA - genetics</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Colorectal Neoplasms - diagnosis</topic><topic>Colorectal Neoplasms - genetics</topic><topic>Deoxyribonucleic acid</topic><topic>Disease-Free Survival</topic><topic>DNA</topic><topic>Drug Resistance</topic><topic>Epidemiology</topic><topic>Humans</topic><topic>Minimal residual disease</topic><topic>Molecular Medicine</topic><topic>Mutation</topic><topic>Neoplasm, Residual - genetics</topic><topic>Oncology</topic><topic>Patients</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ryoo, Seung-Bum</creatorcontrib><creatorcontrib>Heo, Sunghoon</creatorcontrib><creatorcontrib>Lim, Yoojoo</creatorcontrib><creatorcontrib>Lee, Wookjae</creatorcontrib><creatorcontrib>Cho, Su Han</creatorcontrib><creatorcontrib>Ahn, Jongseong</creatorcontrib><creatorcontrib>Kang, Jun-Kyu</creatorcontrib><creatorcontrib>Kim, Su Yeon</creatorcontrib><creatorcontrib>Kim, Hwang-Phill</creatorcontrib><creatorcontrib>Bang, Duhee</creatorcontrib><creatorcontrib>Kang, Sung-Bum</creatorcontrib><creatorcontrib>Yu, Chang Sik</creatorcontrib><creatorcontrib>Oh, Seong Taek</creatorcontrib><creatorcontrib>Park, Ji Won</creatorcontrib><creatorcontrib>Jeong, Seung-Yong</creatorcontrib><creatorcontrib>Kim, Young-Joon</creatorcontrib><creatorcontrib>Park, Kyu Joo</creatorcontrib><creatorcontrib>Han, Sae-Won</creatorcontrib><creatorcontrib>Kim, Tae-You</creatorcontrib><collection>Springer Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ryoo, Seung-Bum</au><au>Heo, Sunghoon</au><au>Lim, Yoojoo</au><au>Lee, Wookjae</au><au>Cho, Su Han</au><au>Ahn, Jongseong</au><au>Kang, Jun-Kyu</au><au>Kim, Su Yeon</au><au>Kim, Hwang-Phill</au><au>Bang, Duhee</au><au>Kang, Sung-Bum</au><au>Yu, Chang Sik</au><au>Oh, Seong Taek</au><au>Park, Ji Won</au><au>Jeong, Seung-Yong</au><au>Kim, Young-Joon</au><au>Park, Kyu Joo</au><au>Han, Sae-Won</au><au>Kim, Tae-You</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer</atitle><jtitle>British journal of cancer</jtitle><stitle>Br J Cancer</stitle><addtitle>Br J Cancer</addtitle><date>2023-08-10</date><risdate>2023</risdate><volume>129</volume><issue>2</issue><spage>374</spage><epage>381</epage><pages>374-381</pages><issn>0007-0920</issn><eissn>1532-1827</eissn><abstract>Background
Postoperative minimal residual disease (MRD) detection using circulating-tumour DNA (ctDNA) requires a highly sensitive analysis platform. We have developed a tumour-informed, hybrid-capture ctDNA sequencing MRD assay.
Methods
Personalised target-capture panels for ctDNA detection were designed using individual variants identified in tumour whole-exome sequencing of each patient. MRD status was determined using ultra-high-depth sequencing data of plasma cell-free DNA. The MRD positivity and its association with clinical outcome were analysed in Stage II or III colorectal cancer (CRC).
Results
In 98 CRC patients, personalised panels for ctDNA sequencing were built from tumour data, including a median of 185 variants per patient. In silico simulation showed that increasing the number of target variants increases MRD detection sensitivity in low fractions (<0.01%). At postoperative 3-week, 21.4% of patients were positive for MRD by ctDNA. Postoperative positive MRD was strongly associated with poor disease-free survival (DFS) (adjusted hazard ratio 8.40, 95% confidence interval 3.49–20.2). Patients with a negative conversion of MRD after adjuvant therapy showed significantly better DFS (
P
< 0.001).
Conclusion
Tumour-informed, hybrid-capture-based ctDNA assay monitoring a large number of patient-specific mutations is a sensitive strategy for MRD detection to predict recurrence in CRC.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>37280413</pmid><doi>10.1038/s41416-023-02300-3</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3275-431X</orcidid><orcidid>https://orcid.org/0000-0003-0046-8175</orcidid><orcidid>https://orcid.org/0000-0001-6407-0444</orcidid><orcidid>https://orcid.org/0000-0001-5220-0352</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 692/4028/67/1504/1885/1393 692/4028/67/1504/1885/1777 692/53/2422 Bioassays Biomarkers, Tumor - genetics Biomedical and Life Sciences Biomedicine Cancer Research Circulating Tumor DNA - genetics Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - diagnosis Colorectal Neoplasms - genetics Deoxyribonucleic acid Disease-Free Survival DNA Drug Resistance Epidemiology Humans Minimal residual disease Molecular Medicine Mutation Neoplasm, Residual - genetics Oncology Patients Tumors |
title | Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer |
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