4.7 Article

Targeted methylation sequencing of plasma cell-free DNA for cancer detection and classification

Journal

ANNALS OF ONCOLOGY
Volume 29, Issue 6, Pages 1445-1453

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/annonc/mdy119

Keywords

cell-free DNA; methylation; liquid biopsy; next-generation secuencing; cancer; plasma

Categories

Funding

  1. Sidney Kimmel Foundation for Cancer Research
  2. Sheikh Khalifa Al Nahyan Ben Zayed Institute for Personalized Cancer Therapy
  3. National Center for Advancing Translational Sciences [UL1 TR000371]
  4. National Institutes of Health through MD Anderson's Cancer Center Support Grant [P30 CA016672]
  5. NATIONAL CANCER INSTITUTE [P30CA016672] Funding Source: NIH RePORTER
  6. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000371] Funding Source: NIH RePORTER

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Background Targeted methylation sequencing of plasma cell-free DNA (cfDNA) has a potential to expand liquid biopsies to patients with tumors without detectable oncogenic alterations, which can be potentially useful in early diagnosis. Patients and methods We developed a comprehensive methylation sequencing assay targeting 9223 CpG sites consistently hypermethylated according to The Cancer Genome Atlas. Next, we carried out a clinical validation of our method using plasma cfDNA samples from 78 patients with advanced colorectal cancer, non-small-cell lung cancer (NSCLC), breast cancer or melanoma and compared results with patients outcomes. Results Median methylation scores in plasma cfDNA samples from patients on therapy were lower than from patients off therapy (4.74 versus 85.29; P = 0.001). Of 68 plasma samples from patients off therapy, methylation scores detected the presence of cancer in 57 (83.8%), and methylation-based signatures accurately classified the underlying cancer type in 45 (78.9%) of these. Methylation scores were most accurate in detecting colorectal cancer (96.3%), followed by breast cancer (91.7%), melanoma (81.8%) and NSCLC (61.1%), and most accurate in classifying the underlying cancer type in colorectal cancer (88.5%), followed by NSCLC (81.8%), breast cancer (72.7%) and melanoma (55.6%). Low methylation scores versus high were associated with longer survival (10.4 versus 4.4 months, P < 0.001) and longer time-to-treatment failure (2.8 versus 1.6 months, P = 0.016). Conclusions Comprehensive targeted methylation sequencing of 9223 CpG sites in plasma cfDNA from patients with common advanced cancers detects the presence of cancer and underlying cancer type with high accuracy. Methylation scores in plasma cfDNA correspond with treatment outcomes.

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