Cargando…

Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)

BACKGROUND: Due to the blood-brain barrier, plasma is not an ideal source to evaluate the genetic characteristics of central nervous system tumors. Thus, cerebrospinal fluid (CSF) is becoming an alternative biopsy type to evaluate the genetic landscape of intracranial tumors. We aimed to explore the...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Meichen, Chen, Jing, Zhang, Baishen, Yu, Juan, Wang, Na, Li, Delan, Shao, Yang, Zhu, Dongqin, Liang, Chuqiao, Ma, Yutong, Ou, Qiuxiang, Hou, Xue, Chen, Likun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661744/
https://www.ncbi.nlm.nih.gov/pubmed/36372873
http://dx.doi.org/10.1186/s12916-022-02595-8
_version_ 1784830542511865856
author Li, Meichen
Chen, Jing
Zhang, Baishen
Yu, Juan
Wang, Na
Li, Delan
Shao, Yang
Zhu, Dongqin
Liang, Chuqiao
Ma, Yutong
Ou, Qiuxiang
Hou, Xue
Chen, Likun
author_facet Li, Meichen
Chen, Jing
Zhang, Baishen
Yu, Juan
Wang, Na
Li, Delan
Shao, Yang
Zhu, Dongqin
Liang, Chuqiao
Ma, Yutong
Ou, Qiuxiang
Hou, Xue
Chen, Likun
author_sort Li, Meichen
collection PubMed
description BACKGROUND: Due to the blood-brain barrier, plasma is not an ideal source to evaluate the genetic characteristics of central nervous system tumors. Thus, cerebrospinal fluid (CSF) is becoming an alternative biopsy type to evaluate the genetic landscape of intracranial tumors. We aimed to explore the genetic profiles of CSF-derived circulating tumor DNA (ctDNA) to predict intracranial tumor responses and monitor mutational evolution during the treatment of non-small cell lung cancer (NSCLC) patients with brain metastases. METHODS: We conducted a prospective study of 92 newly diagnosed NSCLC patients with brain metastases. Paired CSF and plasma samples were collected at baseline, 8 weeks after treatment initiation, and disease progression. All samples underwent next-generation sequencing of 425 cancer-related genes. RESULTS: At baseline, the positive detection rates of ctDNA in CSF, plasma, and extracranial tumors were 63.7% (58/91), 91.1% (82/90), and 100% (58/58), respectively. A high level of genetic heterogeneity was observed between paired CSF and plasma, while concordance in driver mutations was also observed. A higher number of unique copy number variations was detected in CSF-ctDNA than in plasma. ctDNA positivity of CSF samples at baseline was associated with poor outcomes (HR=2.565, P=0.003). Moreover, patients with ≥ 50% reductions in the concentrations of CSF ctDNA after 8 weeks of treatment had significantly longer intracranial progression-free survivals (PFS) than patients with < 50% reductions in CSF ctDNA concentrations (13.27 months vs 6.13 months, HR=0.308, P=0.017). A ≥ 50% reduction in CSF ctDNA concentrations had better concordance with radiographic intracranial tumor responses than plasma. A ≥ 50% reduction in plasma ctDNA concentrations was also associated with longer extracranial PFS (11.57 months vs 6.20 months, HR=0.406, P=0.033). Based on clonal evolution analyses, the accumulation of subclonal mutations in CSF ctDNA was observed after 8 weeks of treatment. The clonal mutations that remained in more than 80% in CSF after 8 weeks also predicted shorter intracranial PFS (HR=3.785, P=0.039). CONCLUSIONS: CSF ctDNA exhibited unique genetic profiles of brain metastases, and dynamic changes in CSF ctDNA could better predict intracranial tumor responses and track clonal evolution during treatment in NSCLC patients with brain metastases. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT 03257735. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02595-8.
format Online
Article
Text
id pubmed-9661744
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96617442022-11-15 Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028) Li, Meichen Chen, Jing Zhang, Baishen Yu, Juan Wang, Na Li, Delan Shao, Yang Zhu, Dongqin Liang, Chuqiao Ma, Yutong Ou, Qiuxiang Hou, Xue Chen, Likun BMC Med Research Article BACKGROUND: Due to the blood-brain barrier, plasma is not an ideal source to evaluate the genetic characteristics of central nervous system tumors. Thus, cerebrospinal fluid (CSF) is becoming an alternative biopsy type to evaluate the genetic landscape of intracranial tumors. We aimed to explore the genetic profiles of CSF-derived circulating tumor DNA (ctDNA) to predict intracranial tumor responses and monitor mutational evolution during the treatment of non-small cell lung cancer (NSCLC) patients with brain metastases. METHODS: We conducted a prospective study of 92 newly diagnosed NSCLC patients with brain metastases. Paired CSF and plasma samples were collected at baseline, 8 weeks after treatment initiation, and disease progression. All samples underwent next-generation sequencing of 425 cancer-related genes. RESULTS: At baseline, the positive detection rates of ctDNA in CSF, plasma, and extracranial tumors were 63.7% (58/91), 91.1% (82/90), and 100% (58/58), respectively. A high level of genetic heterogeneity was observed between paired CSF and plasma, while concordance in driver mutations was also observed. A higher number of unique copy number variations was detected in CSF-ctDNA than in plasma. ctDNA positivity of CSF samples at baseline was associated with poor outcomes (HR=2.565, P=0.003). Moreover, patients with ≥ 50% reductions in the concentrations of CSF ctDNA after 8 weeks of treatment had significantly longer intracranial progression-free survivals (PFS) than patients with < 50% reductions in CSF ctDNA concentrations (13.27 months vs 6.13 months, HR=0.308, P=0.017). A ≥ 50% reduction in CSF ctDNA concentrations had better concordance with radiographic intracranial tumor responses than plasma. A ≥ 50% reduction in plasma ctDNA concentrations was also associated with longer extracranial PFS (11.57 months vs 6.20 months, HR=0.406, P=0.033). Based on clonal evolution analyses, the accumulation of subclonal mutations in CSF ctDNA was observed after 8 weeks of treatment. The clonal mutations that remained in more than 80% in CSF after 8 weeks also predicted shorter intracranial PFS (HR=3.785, P=0.039). CONCLUSIONS: CSF ctDNA exhibited unique genetic profiles of brain metastases, and dynamic changes in CSF ctDNA could better predict intracranial tumor responses and track clonal evolution during treatment in NSCLC patients with brain metastases. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT 03257735. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02595-8. BioMed Central 2022-11-14 /pmc/articles/PMC9661744/ /pubmed/36372873 http://dx.doi.org/10.1186/s12916-022-02595-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Li, Meichen
Chen, Jing
Zhang, Baishen
Yu, Juan
Wang, Na
Li, Delan
Shao, Yang
Zhu, Dongqin
Liang, Chuqiao
Ma, Yutong
Ou, Qiuxiang
Hou, Xue
Chen, Likun
Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title_full Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title_fullStr Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title_full_unstemmed Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title_short Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
title_sort dynamic monitoring of cerebrospinal fluid circulating tumor dna to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (gasto 1028)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661744/
https://www.ncbi.nlm.nih.gov/pubmed/36372873
http://dx.doi.org/10.1186/s12916-022-02595-8
work_keys_str_mv AT limeichen dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT chenjing dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT zhangbaishen dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT yujuan dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT wangna dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT lidelan dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT shaoyang dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT zhudongqin dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT liangchuqiao dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT mayutong dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT ouqiuxiang dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT houxue dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028
AT chenlikun dynamicmonitoringofcerebrospinalfluidcirculatingtumordnatoidentifyuniquegeneticprofilesofbrainmetastatictumorsandbetterpredictintracranialtumorresponsesinnonsmallcelllungcancerpatientswithbrainmetastasesaprospectivecohortstudygasto1028