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Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort
BACKGROUND: Although growth advantage of certain clones would ultimately translate into a clinically visible disease progression, radiological imaging does not reflect clonal evolution at molecular level. Circulating tumor DNA (ctDNA), validated as a tool for mutation detection in lung cancer, could...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225135/ https://www.ncbi.nlm.nih.gov/pubmed/32420066 http://dx.doi.org/10.21037/tlcr.2020.03.17 |
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author | Song, Yong Hu, Chengping Xie, Zhanhong Wu, Lin Zhu, Zhengfei Rao, Chuangzhou Liu, Li Chen, Yuan Liang, Naixin Chen, Jun Hu, Chunhong Yang, Nong Hu, Jie Zhao, Weixin Tong, Gangling Dong, Xiaorong Zheng, Di Jin, Meiling Chen, Jianhua Huang, Meijuan He, Yong Rosell, Rafael Lippi, Giuseppe Mino-Kenudson, Mari Han-Zhang, Han Mao, Xinru Zhang, Lu Liu, Hao Field, John K. Chuai, Shannon Ye, Junyi Han, Yusheng Lu, Shun |
author_facet | Song, Yong Hu, Chengping Xie, Zhanhong Wu, Lin Zhu, Zhengfei Rao, Chuangzhou Liu, Li Chen, Yuan Liang, Naixin Chen, Jun Hu, Chunhong Yang, Nong Hu, Jie Zhao, Weixin Tong, Gangling Dong, Xiaorong Zheng, Di Jin, Meiling Chen, Jianhua Huang, Meijuan He, Yong Rosell, Rafael Lippi, Giuseppe Mino-Kenudson, Mari Han-Zhang, Han Mao, Xinru Zhang, Lu Liu, Hao Field, John K. Chuai, Shannon Ye, Junyi Han, Yusheng Lu, Shun |
author_sort | Song, Yong |
collection | PubMed |
description | BACKGROUND: Although growth advantage of certain clones would ultimately translate into a clinically visible disease progression, radiological imaging does not reflect clonal evolution at molecular level. Circulating tumor DNA (ctDNA), validated as a tool for mutation detection in lung cancer, could reflect dynamic molecular changes. We evaluated the utility of ctDNA as a predictive and a prognostic marker in disease monitoring of advanced non-small cell lung cancer (NSCLC) patients. METHODS: This is a multicenter prospective cohort study. We performed capture-based ultra-deep sequencing on longitudinal plasma samples utilizing a panel consisting of 168 NSCLC-related genes on 949 advanced NSCLC patients with driver mutations to monitor treatment responses and disease progression. The correlations between ctDNA and progression-free survival (PFS)/overall survival (OS) were performed on 248 patients undergoing various treatments with the minimum of 2 ctDNA tests. RESULTS: The results of this study revealed that higher ctDNA abundance (P=0.012) and mutation count (P=8.5×10(−4)) at baseline are associated with shorter OS. We also found that patients with ctDNA clearance, not just driver mutation clearance, at any point during the course of treatment were associated with longer PFS (P=2.2×10(−16), HR 0.28) and OS (P=4.5×10(−6), HR 0.19) regardless of type of treatment and evaluation schedule. CONCLUSIONS: This prospective real-world study shows that ctDNA clearance during treatment may serve as predictive and prognostic marker across a wide spectrum of treatment regimens. |
format | Online Article Text |
id | pubmed-7225135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-72251352020-05-15 Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort Song, Yong Hu, Chengping Xie, Zhanhong Wu, Lin Zhu, Zhengfei Rao, Chuangzhou Liu, Li Chen, Yuan Liang, Naixin Chen, Jun Hu, Chunhong Yang, Nong Hu, Jie Zhao, Weixin Tong, Gangling Dong, Xiaorong Zheng, Di Jin, Meiling Chen, Jianhua Huang, Meijuan He, Yong Rosell, Rafael Lippi, Giuseppe Mino-Kenudson, Mari Han-Zhang, Han Mao, Xinru Zhang, Lu Liu, Hao Field, John K. Chuai, Shannon Ye, Junyi Han, Yusheng Lu, Shun Transl Lung Cancer Res Original Article BACKGROUND: Although growth advantage of certain clones would ultimately translate into a clinically visible disease progression, radiological imaging does not reflect clonal evolution at molecular level. Circulating tumor DNA (ctDNA), validated as a tool for mutation detection in lung cancer, could reflect dynamic molecular changes. We evaluated the utility of ctDNA as a predictive and a prognostic marker in disease monitoring of advanced non-small cell lung cancer (NSCLC) patients. METHODS: This is a multicenter prospective cohort study. We performed capture-based ultra-deep sequencing on longitudinal plasma samples utilizing a panel consisting of 168 NSCLC-related genes on 949 advanced NSCLC patients with driver mutations to monitor treatment responses and disease progression. The correlations between ctDNA and progression-free survival (PFS)/overall survival (OS) were performed on 248 patients undergoing various treatments with the minimum of 2 ctDNA tests. RESULTS: The results of this study revealed that higher ctDNA abundance (P=0.012) and mutation count (P=8.5×10(−4)) at baseline are associated with shorter OS. We also found that patients with ctDNA clearance, not just driver mutation clearance, at any point during the course of treatment were associated with longer PFS (P=2.2×10(−16), HR 0.28) and OS (P=4.5×10(−6), HR 0.19) regardless of type of treatment and evaluation schedule. CONCLUSIONS: This prospective real-world study shows that ctDNA clearance during treatment may serve as predictive and prognostic marker across a wide spectrum of treatment regimens. AME Publishing Company 2020-04 /pmc/articles/PMC7225135/ /pubmed/32420066 http://dx.doi.org/10.21037/tlcr.2020.03.17 Text en 2020 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Song, Yong Hu, Chengping Xie, Zhanhong Wu, Lin Zhu, Zhengfei Rao, Chuangzhou Liu, Li Chen, Yuan Liang, Naixin Chen, Jun Hu, Chunhong Yang, Nong Hu, Jie Zhao, Weixin Tong, Gangling Dong, Xiaorong Zheng, Di Jin, Meiling Chen, Jianhua Huang, Meijuan He, Yong Rosell, Rafael Lippi, Giuseppe Mino-Kenudson, Mari Han-Zhang, Han Mao, Xinru Zhang, Lu Liu, Hao Field, John K. Chuai, Shannon Ye, Junyi Han, Yusheng Lu, Shun Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title | Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title_full | Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title_fullStr | Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title_full_unstemmed | Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title_short | Circulating tumor DNA clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
title_sort | circulating tumor dna clearance predicts prognosis across treatment regimen in a large real-world longitudinally monitored advanced non-small cell lung cancer cohort |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225135/ https://www.ncbi.nlm.nih.gov/pubmed/32420066 http://dx.doi.org/10.21037/tlcr.2020.03.17 |
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