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Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer.
Chen, Kezhong; Kang, Guannan; Zhang, Zhihong; Lizaso, Analyn; Beck, Stephan; Lyskjær, Iben; Chervova, Olga; Li, Bingsi; Shen, Haifeng; Wang, Chenyang; Li, Bing; Zhao, Heng; Li, Xi; Yang, Fan; Kanu, Nnennaya; Wang, Jun.
Affiliation
  • Chen K; Thoracic Oncology Institute and Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China. chenkezhong@pkuph.edu.cn.
  • Kang G; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, 72 Huntley St, London, WC1E 6DD, UK. chenkezhong@pkuph.edu.cn.
  • Zhang Z; Thoracic Oncology Institute and Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Lizaso A; Burning Rock Biotech, Guangzhou, 510300, China.
  • Beck S; Burning Rock Biotech, Guangzhou, 510300, China.
  • Lyskjær I; University College London Cancer Institute, University College London, 72 Huntley St, London, WC1E 6DD, UK.
  • Chervova O; University College London Cancer Institute, University College London, 72 Huntley St, London, WC1E 6DD, UK.
  • Li B; University College London Cancer Institute, University College London, 72 Huntley St, London, WC1E 6DD, UK.
  • Shen H; Burning Rock Biotech, Guangzhou, 510300, China.
  • Wang C; Thoracic Oncology Institute and Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Li B; Burning Rock Biotech, Guangzhou, 510300, China.
  • Zhao H; Burning Rock Biotech, Guangzhou, 510300, China.
  • Li X; Thoracic Oncology Institute and Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Yang F; Burning Rock Biotech, Guangzhou, 510300, China.
  • Kanu N; Thoracic Oncology Institute and Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China. yangfan@pkuph.edu.cn.
  • Wang J; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, 72 Huntley St, London, WC1E 6DD, UK. n.kanu@ucl.ac.uk.
BMC Med ; 21(1): 255, 2023 07 14.
Article in En | MEDLINE | ID: mdl-37452374
BACKGROUND: The feasibility of DNA methylation-based assays in detecting minimal residual disease (MRD) and postoperative monitoring remains unestablished. We aim to investigate the dynamic characteristics of cancer-related methylation signals and the feasibility of methylation-based MRD detection in surgical lung cancer patients. METHODS: Matched tumor, tumor-adjacent tissues, and longitudinal blood samples from a cohort (MEDAL) were analyzed by ultra-deep targeted sequencing and bisulfite sequencing. A tumor-informed methylation-based MRD (timMRD) was employed to evaluate the methylation status of each blood sample. Survival analysis was performed in the MEDAL cohort (n = 195) and validated in an independent cohort (DYNAMIC, n = 36). RESULTS: Tumor-informed methylation status enabled an accurate recurrence risk assessment better than the tumor-naïve methylation approach. Baseline timMRD-scores were positively correlated with tumor burden, invasiveness, and the existence and abundance of somatic mutations. Patients with higher timMRD-scores at postoperative time-points demonstrated significantly shorter disease-free survival in the MEDAL cohort (HR: 3.08, 95% CI: 1.48-6.42; P = 0.002) and the independent DYNAMIC cohort (HR: 2.80, 95% CI: 0.96-8.20; P = 0.041). Multivariable regression analysis identified postoperative timMRD-score as an independent prognostic factor for lung cancer. Compared to tumor-informed somatic mutation status, timMRD-scores yielded better performance in identifying the relapsed patients during postoperative follow-up, including subgroups with lower tumor burden like stage I, and was more accurate among relapsed patients with baseline ctDNA-negative status. Comparing to the average lead time of ctDNA mutation, timMRD-score yielded a negative predictive value of 97.2% at 120 days prior to relapse. CONCLUSIONS: The dynamic methylation-based analysis of peripheral blood provides a promising strategy for postoperative cancer surveillance. TRIAL REGISTRATION: This study (MEDAL, MEthylation based Dynamic Analysis for Lung cancer) was registered on ClinicalTrials.gov on 08/05/2018 (NCT03634826). https://clinicaltrials.gov/ct2/show/NCT03634826 .
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell-Free Nucleic Acids / Circulating Tumor DNA / Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Med Journal subject: MEDICINA Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell-Free Nucleic Acids / Circulating Tumor DNA / Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Med Journal subject: MEDICINA Year: 2023 Document type: Article Affiliation country: Country of publication: