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Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer

We used computed tomography (CT) to explore the prognostic value of cell-free (cf) DNA quantification and its predictive efficacy over time after chemotherapy in non-small-cell lung cancer (NSCLC) patients. In total, 177 NSCLC patients were enrolled in a prospective biomarker trial. Consecutive pair...

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Autores principales: Hyun, Myung Han, Sung, Jae Sook, Kang, Eun Joo, Choi, Yoon Ji, Park, Kyong Hwa, Shin, Sang Won, Lee, Sung Yong, Kim, Yeul Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706884/
https://www.ncbi.nlm.nih.gov/pubmed/29212238
http://dx.doi.org/10.18632/oncotarget.21769
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author Hyun, Myung Han
Sung, Jae Sook
Kang, Eun Joo
Choi, Yoon Ji
Park, Kyong Hwa
Shin, Sang Won
Lee, Sung Yong
Kim, Yeul Hong
author_facet Hyun, Myung Han
Sung, Jae Sook
Kang, Eun Joo
Choi, Yoon Ji
Park, Kyong Hwa
Shin, Sang Won
Lee, Sung Yong
Kim, Yeul Hong
author_sort Hyun, Myung Han
collection PubMed
description We used computed tomography (CT) to explore the prognostic value of cell-free (cf) DNA quantification and its predictive efficacy over time after chemotherapy in non-small-cell lung cancer (NSCLC) patients. In total, 177 NSCLC patients were enrolled in a prospective biomarker trial. Consecutive paired blood collection was performed to determine cfDNA concentrations at baseline CT and throughout serial follow-ups. The best cfDNA cut-off value to predict progression-free and overall survival was determined using X-tile analysis. Among 112 chemo-naive patients with stage IV adenocarcinoma, 43 were available for follow-up analysis. Cox regression multivariate analysis indicated that a high cfDNA concentration was an independent negative prognostic factor for progression-free survival (hazard ratio: 2.60; 95% confidence interval: 1.65-4.10; p = 0.008) and overall survival (hazard ratio: 2.63; 95% confidence interval: 1.66-4.17; p < 0.001). However, cfDNA concentration changes during treatment did not correlate with radiological CT responses at first follow-up or best response. No pattern was noted in the percent change in the cfDNA concentration from baseline or subsequently measured level to progression. The serum cfDNA concentration is thus associated with NSCLC patient prognosis, but does not appear to be a clinically valid marker for tumor responses.
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spelling pubmed-57068842017-12-05 Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer Hyun, Myung Han Sung, Jae Sook Kang, Eun Joo Choi, Yoon Ji Park, Kyong Hwa Shin, Sang Won Lee, Sung Yong Kim, Yeul Hong Oncotarget Research Paper We used computed tomography (CT) to explore the prognostic value of cell-free (cf) DNA quantification and its predictive efficacy over time after chemotherapy in non-small-cell lung cancer (NSCLC) patients. In total, 177 NSCLC patients were enrolled in a prospective biomarker trial. Consecutive paired blood collection was performed to determine cfDNA concentrations at baseline CT and throughout serial follow-ups. The best cfDNA cut-off value to predict progression-free and overall survival was determined using X-tile analysis. Among 112 chemo-naive patients with stage IV adenocarcinoma, 43 were available for follow-up analysis. Cox regression multivariate analysis indicated that a high cfDNA concentration was an independent negative prognostic factor for progression-free survival (hazard ratio: 2.60; 95% confidence interval: 1.65-4.10; p = 0.008) and overall survival (hazard ratio: 2.63; 95% confidence interval: 1.66-4.17; p < 0.001). However, cfDNA concentration changes during treatment did not correlate with radiological CT responses at first follow-up or best response. No pattern was noted in the percent change in the cfDNA concentration from baseline or subsequently measured level to progression. The serum cfDNA concentration is thus associated with NSCLC patient prognosis, but does not appear to be a clinically valid marker for tumor responses. Impact Journals LLC 2017-10-10 /pmc/articles/PMC5706884/ /pubmed/29212238 http://dx.doi.org/10.18632/oncotarget.21769 Text en Copyright: © 2017 Hyun et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Hyun, Myung Han
Sung, Jae Sook
Kang, Eun Joo
Choi, Yoon Ji
Park, Kyong Hwa
Shin, Sang Won
Lee, Sung Yong
Kim, Yeul Hong
Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title_full Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title_fullStr Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title_full_unstemmed Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title_short Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer
title_sort quantification of circulating cell-free dna to predict patient survival in non-small-cell lung cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706884/
https://www.ncbi.nlm.nih.gov/pubmed/29212238
http://dx.doi.org/10.18632/oncotarget.21769
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