{"title":"24.甲基化测序增强了对克隆造血动态的解读","authors":"Alyssa Parker, Joseph Van Amburg, Alexander Bick","doi":"10.1016/j.cancergen.2024.08.026","DOIUrl":null,"url":null,"abstract":"<div><div>Somatic mutations in hematopoietic stem cells give rise to clonal hematopoiesis (CH), a pre-malignant state that precedes hematologic malignancy. In current clinical practice, CH clone size as quantified by the variant allele fraction (VAF) is serially monitored with DNA sequencing. Increases in VAF are often interpreted as portending progression to malignancy. CH leads to a myeloid bias and VAF measurements can be confounded by cell-type proportions, which also vary according to immune demands. We developed a targeted enzymatic DNA methylation sequencing assay that costs ∼$80/sample (including reagents, library preparation and sequencing) and captures ∼4 million CpGs and applied it to 91 samples from patients with CH. We used the resulting methylation data to infer cell-type proportions. We found that predicted cell-type proportions for lymphocytes and granulocytes correlated highly with complete blood cell counts (R^2 = 0.84 and p-value = 2.65 × 10^-14; R2 = 0.88 and p-value = 4.31 × 10^-16), but predictions for monocytes were much less correlated (R^2 = 0.26, p-value = 2.04 × 10^-3). Furthermore, we observed that as monocyte proportion increased, so did reported percent change in VAF. Correlation was highest for clones driven by mutations in <em>TET2</em>, which have been shown to have more extreme degrees of myeloid bias. This work raises concerns about current methods of monitoring CH based solely on VAF. Given the low cost, cell-type proportion prediction from DNA methylation is a feasible addition to CH assays. Our work suggests that cell-type proportions would provide vital context for accurate interpretation of VAF throughout hematologic malignancy progression and treatment.</div></div>","PeriodicalId":49225,"journal":{"name":"Cancer Genetics","volume":"286 ","pages":"Page S8"},"PeriodicalIF":1.4000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"24. Methylation sequencing enhances interpretation of clonal hematopoiesis dynamics\",\"authors\":\"Alyssa Parker, Joseph Van Amburg, Alexander Bick\",\"doi\":\"10.1016/j.cancergen.2024.08.026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Somatic mutations in hematopoietic stem cells give rise to clonal hematopoiesis (CH), a pre-malignant state that precedes hematologic malignancy. In current clinical practice, CH clone size as quantified by the variant allele fraction (VAF) is serially monitored with DNA sequencing. Increases in VAF are often interpreted as portending progression to malignancy. CH leads to a myeloid bias and VAF measurements can be confounded by cell-type proportions, which also vary according to immune demands. We developed a targeted enzymatic DNA methylation sequencing assay that costs ∼$80/sample (including reagents, library preparation and sequencing) and captures ∼4 million CpGs and applied it to 91 samples from patients with CH. We used the resulting methylation data to infer cell-type proportions. We found that predicted cell-type proportions for lymphocytes and granulocytes correlated highly with complete blood cell counts (R^2 = 0.84 and p-value = 2.65 × 10^-14; R2 = 0.88 and p-value = 4.31 × 10^-16), but predictions for monocytes were much less correlated (R^2 = 0.26, p-value = 2.04 × 10^-3). Furthermore, we observed that as monocyte proportion increased, so did reported percent change in VAF. Correlation was highest for clones driven by mutations in <em>TET2</em>, which have been shown to have more extreme degrees of myeloid bias. This work raises concerns about current methods of monitoring CH based solely on VAF. Given the low cost, cell-type proportion prediction from DNA methylation is a feasible addition to CH assays. Our work suggests that cell-type proportions would provide vital context for accurate interpretation of VAF throughout hematologic malignancy progression and treatment.</div></div>\",\"PeriodicalId\":49225,\"journal\":{\"name\":\"Cancer Genetics\",\"volume\":\"286 \",\"pages\":\"Page S8\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Genetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210776224000644\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Genetics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210776224000644","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
24. Methylation sequencing enhances interpretation of clonal hematopoiesis dynamics
Somatic mutations in hematopoietic stem cells give rise to clonal hematopoiesis (CH), a pre-malignant state that precedes hematologic malignancy. In current clinical practice, CH clone size as quantified by the variant allele fraction (VAF) is serially monitored with DNA sequencing. Increases in VAF are often interpreted as portending progression to malignancy. CH leads to a myeloid bias and VAF measurements can be confounded by cell-type proportions, which also vary according to immune demands. We developed a targeted enzymatic DNA methylation sequencing assay that costs ∼$80/sample (including reagents, library preparation and sequencing) and captures ∼4 million CpGs and applied it to 91 samples from patients with CH. We used the resulting methylation data to infer cell-type proportions. We found that predicted cell-type proportions for lymphocytes and granulocytes correlated highly with complete blood cell counts (R^2 = 0.84 and p-value = 2.65 × 10^-14; R2 = 0.88 and p-value = 4.31 × 10^-16), but predictions for monocytes were much less correlated (R^2 = 0.26, p-value = 2.04 × 10^-3). Furthermore, we observed that as monocyte proportion increased, so did reported percent change in VAF. Correlation was highest for clones driven by mutations in TET2, which have been shown to have more extreme degrees of myeloid bias. This work raises concerns about current methods of monitoring CH based solely on VAF. Given the low cost, cell-type proportion prediction from DNA methylation is a feasible addition to CH assays. Our work suggests that cell-type proportions would provide vital context for accurate interpretation of VAF throughout hematologic malignancy progression and treatment.
期刊介绍:
The aim of Cancer Genetics is to publish high quality scientific papers on the cellular, genetic and molecular aspects of cancer, including cancer predisposition and clinical diagnostic applications. Specific areas of interest include descriptions of new chromosomal, molecular or epigenetic alterations in benign and malignant diseases; novel laboratory approaches for identification and characterization of chromosomal rearrangements or genomic alterations in cancer cells; correlation of genetic changes with pathology and clinical presentation; and the molecular genetics of cancer predisposition. To reach a basic science and clinical multidisciplinary audience, we welcome original full-length articles, reviews, meeting summaries, brief reports, and letters to the editor.