Tom Venken, Ian S Miller, Ingrid Arijs, Valentina Thomas, Ana Barat, Johannes Betge, Tianzuo Zhan, Timo Gaiser, Matthias P Ebert, Alice C O'Farrell, Jochen Prehn, Rut Klinger, Darran P O'Connor, Brian Moulton, Verena Murphy, Garazi Serna, Paolo G Nuciforo, Ray McDermott, Brian Bird, Gregory Leonard, Liam Grogan, Anne Horgan, Nadine Schulte, Markus Moehler, Diether Lambrechts, Annette T Byrne
{"title":"分析细胞游离 DNA 预测结直肠癌患者贝伐珠单抗治疗效果","authors":"Tom Venken, Ian S Miller, Ingrid Arijs, Valentina Thomas, Ana Barat, Johannes Betge, Tianzuo Zhan, Timo Gaiser, Matthias P Ebert, Alice C O'Farrell, Jochen Prehn, Rut Klinger, Darran P O'Connor, Brian Moulton, Verena Murphy, Garazi Serna, Paolo G Nuciforo, Ray McDermott, Brian Bird, Gregory Leonard, Liam Grogan, Anne Horgan, Nadine Schulte, Markus Moehler, Diether Lambrechts, Annette T Byrne","doi":"10.1038/s41525-024-00415-x","DOIUrl":null,"url":null,"abstract":"<p><p>To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. Low-coverage whole-genome sequencing (LC-WGS) was performed on matched tumor and plasma samples, collected from 74 mCRC patients from the AC-ANGIOPREDICT Phase II trial (NCT01822444), and analysed for CIN and NFs. A validation cohort of plasma samples from the University Medical Center Mannheim (UMM) was similarly profiled. 61 AC-ANGIOPREDICT plasma samples collected before and following BVZ treatment were selected for targeted methylation sequencing. Using cfDNA CIN profiles, AC-ANGIOPREDICT samples were subtyped with 92.3% accuracy into low and high CIN clusters, with good concordance observed between matched plasma and tumor. Improved survival was observed in CIN-high patients. Plasma-based CIN clustering was validated in the UMM cohort. Methylation profiling identified differences in CIN-low vs. CIN high (AUC = 0.87). Moreover, significant methylation score decreases following BVZ was associated with improved outcome (p = 0.013). Analysis of CIN, NFs and methylation profiles from cfDNA in plasma samples facilitates stratification into CIN clusters which inform patient response to treatment.</p>","PeriodicalId":19273,"journal":{"name":"NPJ Genomic Medicine","volume":"9 1","pages":"33"},"PeriodicalIF":4.7000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11137102/pdf/","citationCount":"0","resultStr":"{\"title\":\"Analysis of cell free DNA to predict outcome to bevacizumab therapy in colorectal cancer patients.\",\"authors\":\"Tom Venken, Ian S Miller, Ingrid Arijs, Valentina Thomas, Ana Barat, Johannes Betge, Tianzuo Zhan, Timo Gaiser, Matthias P Ebert, Alice C O'Farrell, Jochen Prehn, Rut Klinger, Darran P O'Connor, Brian Moulton, Verena Murphy, Garazi Serna, Paolo G Nuciforo, Ray McDermott, Brian Bird, Gregory Leonard, Liam Grogan, Anne Horgan, Nadine Schulte, Markus Moehler, Diether Lambrechts, Annette T Byrne\",\"doi\":\"10.1038/s41525-024-00415-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. 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Analysis of cell free DNA to predict outcome to bevacizumab therapy in colorectal cancer patients.
To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. Low-coverage whole-genome sequencing (LC-WGS) was performed on matched tumor and plasma samples, collected from 74 mCRC patients from the AC-ANGIOPREDICT Phase II trial (NCT01822444), and analysed for CIN and NFs. A validation cohort of plasma samples from the University Medical Center Mannheim (UMM) was similarly profiled. 61 AC-ANGIOPREDICT plasma samples collected before and following BVZ treatment were selected for targeted methylation sequencing. Using cfDNA CIN profiles, AC-ANGIOPREDICT samples were subtyped with 92.3% accuracy into low and high CIN clusters, with good concordance observed between matched plasma and tumor. Improved survival was observed in CIN-high patients. Plasma-based CIN clustering was validated in the UMM cohort. Methylation profiling identified differences in CIN-low vs. CIN high (AUC = 0.87). Moreover, significant methylation score decreases following BVZ was associated with improved outcome (p = 0.013). Analysis of CIN, NFs and methylation profiles from cfDNA in plasma samples facilitates stratification into CIN clusters which inform patient response to treatment.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.