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Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer

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 i...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349423/
https://www.ncbi.nlm.nih.gov/pubmed/37452374
http://dx.doi.org/10.1186/s12916-023-02954-z
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author 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
author_facet 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
author_sort Chen, Kezhong
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02954-z.
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spelling pubmed-103494232023-07-16 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 BMC Med Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02954-z. BioMed Central 2023-07-14 /pmc/articles/PMC10349423/ /pubmed/37452374 http://dx.doi.org/10.1186/s12916-023-02954-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
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
Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title_full Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title_fullStr Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title_full_unstemmed Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title_short Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer
title_sort individualized dynamic methylation-based analysis of cell-free dna in postoperative monitoring of lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349423/
https://www.ncbi.nlm.nih.gov/pubmed/37452374
http://dx.doi.org/10.1186/s12916-023-02954-z
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