Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC

ctDNA has been shown to identify minimal residual disease (MRD) and is thus dynamically monitored in different types of tumours. Here, the authors show that serial longitudinal ctDNA analysis can be used as a tool to detect MRD, inform the use of adjuvant therapy, and predict recurrence risk in lung...

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Autores principales:	Bin Qiu, Wei Guo, Fan Zhang, Fang Lv, Ying Ji, Yue Peng, Xiaoxi Chen, Hua Bao, Yang Xu, Yang Shao, Fengwei Tan, Qi Xue, Shugeng Gao, Jie He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/81a588d43ab74ba19c66aa4fd177b6f2
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spelling	oai:doaj.org-article:81a588d43ab74ba19c66aa4fd177b6f22021-11-21T12:34:34ZDynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC10.1038/s41467-021-27022-z2041-1723https://doaj.org/article/81a588d43ab74ba19c66aa4fd177b6f22021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27022-zhttps://doaj.org/toc/2041-1723ctDNA has been shown to identify minimal residual disease (MRD) and is thus dynamically monitored in different types of tumours. Here, the authors show that serial longitudinal ctDNA analysis can be used as a tool to detect MRD, inform the use of adjuvant therapy, and predict recurrence risk in lung cancer.Bin QiuWei GuoFan ZhangFang LvYing JiYue PengXiaoxi ChenHua BaoYang XuYang ShaoFengwei TanQi XueShugeng GaoJie HeNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bin Qiu Wei Guo Fan Zhang Fang Lv Ying Ji Yue Peng Xiaoxi Chen Hua Bao Yang Xu Yang Shao Fengwei Tan Qi Xue Shugeng Gao Jie He Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
description	ctDNA has been shown to identify minimal residual disease (MRD) and is thus dynamically monitored in different types of tumours. Here, the authors show that serial longitudinal ctDNA analysis can be used as a tool to detect MRD, inform the use of adjuvant therapy, and predict recurrence risk in lung cancer.
format	article
author	Bin Qiu Wei Guo Fan Zhang Fang Lv Ying Ji Yue Peng Xiaoxi Chen Hua Bao Yang Xu Yang Shao Fengwei Tan Qi Xue Shugeng Gao Jie He
author_facet	Bin Qiu Wei Guo Fan Zhang Fang Lv Ying Ji Yue Peng Xiaoxi Chen Hua Bao Yang Xu Yang Shao Fengwei Tan Qi Xue Shugeng Gao Jie He
author_sort	Bin Qiu
title	Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
title_short	Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
title_full	Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
title_fullStr	Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
title_full_unstemmed	Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC
title_sort	dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctdna in resected nsclc
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/81a588d43ab74ba19c66aa4fd177b6f2
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Dynamic recurrence risk and adjuvant chemotherapy benefit prediction by ctDNA in resected NSCLC

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