Wanxia Gai1,2,3, Lu Ji1,2,3, W K Jacky Lam1,2,3, Kun Sun1,2,3, Peiyong Jiang1,2,3, Anthony W H Chan4, John Wong5, Paul B S Lai5, Simon S M Ng5, Brigette B Y Ma6, Grace L H Wong7, Vincent W S Wong7, Henry L Y Chan7, Rossa W K Chiu1,2,3, Y M Dennis Lo1,2,3, K C Allen Chan8,2,3. 1. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China. 2. Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 3. State Key Laboratory of Oncology in South China, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 4. Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 5. Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 6. Department of Clinical Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 7. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. 8. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China; allen@cuhk.edu.hk.
Abstract
BACKGROUND: Measurement of DNA derived from different tissues in the circulating DNA pool can provide important information regarding the presence of many pathological conditions. However, existing methods involving genome-wide bisulfite sequencing are relatively expensive and may present challenges for large-scale analysis. METHODS: Through identifying differentially methylated regions in the liver and colon compared with other tissues, we identified 2 markers and developed corresponding droplet digital PCR assays. Plasma concentrations of liver-derived and colon-derived DNA were measured for 13 liver transplant recipients, 40 liver cancer patients, and 62 colorectal cancer (CRC) patients (27 with and 35 without liver metastases). RESULTS: In liver transplant recipients, the fractional concentration of liver-derived DNA measured using the liver-specific methylation marker and donor-specific alleles showed good correlation (Pearson R = 0.99). In liver cancer patients, the concentration of liver-derived DNA correlated positively with the maximal dimension of the tumor (Spearman R = 0.74). In CRC patients with and without liver metastasis, the plasma concentrations of colon-derived DNA (median, 138 copies/mL and 4 copies/mL, respectively) were increased compared with the 30 healthy controls (26 had undetectable concentrations). The absolute concentration of liver-derived DNA provided a better differentiation between CRC patients with and without liver metastasis compared with the fractional concentration (area under ROC curve, 0.85 vs 0.75). CONCLUSIONS: Quantitative analysis of plasma DNA with tissue-specific methylation patterns using droplet digital PCR is applicable for the investigation of cancers and assessing organ transplantation. This approach is useful for differentiating patients with and without metastases to other organs.
BACKGROUND: Measurement of DNA derived from different tissues in the circulating DNA pool can provide important information regarding the presence of many pathological conditions. However, existing methods involving genome-wide bisulfite sequencing are relatively expensive and may present challenges for large-scale analysis. METHODS: Through identifying differentially methylated regions in the liver and colon compared with other tissues, we identified 2 markers and developed corresponding droplet digital PCR assays. Plasma concentrations of liver-derived and colon-derived DNA were measured for 13 liver transplant recipients, 40 liver cancerpatients, and 62 colorectal cancer (CRC) patients (27 with and 35 without liver metastases). RESULTS: In liver transplant recipients, the fractional concentration of liver-derived DNA measured using the liver-specific methylation marker and donor-specific alleles showed good correlation (Pearson R = 0.99). In liver cancerpatients, the concentration of liver-derived DNA correlated positively with the maximal dimension of the tumor (Spearman R = 0.74). In CRCpatients with and without liver metastasis, the plasma concentrations of colon-derived DNA (median, 138 copies/mL and 4 copies/mL, respectively) were increased compared with the 30 healthy controls (26 had undetectable concentrations). The absolute concentration of liver-derived DNA provided a better differentiation between CRCpatients with and without liver metastasis compared with the fractional concentration (area under ROC curve, 0.85 vs 0.75). CONCLUSIONS: Quantitative analysis of plasma DNA with tissue-specific methylation patterns using droplet digital PCR is applicable for the investigation of cancers and assessing organ transplantation. This approach is useful for differentiating patients with and without metastases to other organs.
Authors: Raja R Narayan; Debra A Goldman; Mithat Gonen; Jonathan Reichel; Kety H Huberman; Sandeep Raj; Agnes Viale; Nancy E Kemeny; Peter J Allen; Vinod P Balachandran; Michael I D'Angelica; Ronald P DeMatteo; Jeffrey A Drebin; William R Jarnagin; T Peter Kingham Journal: Ann Surg Oncol Date: 2019-01-31 Impact factor: 5.344
Authors: Shounak Majumder; William R Taylor; Patrick H Foote; Calise K Berger; Chung Wah Wu; Douglas W Mahoney; William R Bamlet; Kelli N Burger; Neil Postier; Jaime de la Fuente; Karen A Doering; Graham P Lidgard; Hatim T Allawi; Gloria M Petersen; Suresh T Chari; David A Ahlquist; John B Kisiel Journal: Clin Cancer Res Date: 2021-02-16 Impact factor: 13.801
Authors: Joshua Moss; Judith Magenheim; Daniel Neiman; Hai Zemmour; Netanel Loyfer; Amit Korach; Yaacov Samet; Myriam Maoz; Henrik Druid; Peter Arner; Keng-Yeh Fu; Endre Kiss; Kirsty L Spalding; Giora Landesberg; Aviad Zick; Albert Grinshpun; A M James Shapiro; Markus Grompe; Avigail Dreazan Wittenberg; Benjamin Glaser; Ruth Shemer; Tommy Kaplan; Yuval Dor Journal: Nat Commun Date: 2018-11-29 Impact factor: 14.919
Authors: Peiyong Jiang; Kun Sun; Yu K Tong; Suk Hang Cheng; Timothy H T Cheng; Macy M S Heung; John Wong; Vincent W S Wong; Henry L Y Chan; K C Allen Chan; Y M Dennis Lo; Rossa W K Chiu Journal: Proc Natl Acad Sci U S A Date: 2018-10-29 Impact factor: 11.205