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Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)

We hypothesized that plasma-based EGFR mutation analysis for NSCLC may be feasible for monitoring treatment response to EGFR TKIs and also predict drug resistance. Clinically relevant mutations including exon 19 deletion (ex19del), L858R and T790M were analyzed using droplet digital PCR (ddPCR) in l...

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Autores principales: Lee, Ji Yun, Qing, Xu, Xiumin, Wei, Yali, Bai, Chi, Sangah, Bak, So Hyeon, Lee, Ho Yun, Sun, Jong-Mu, Lee, Se-Hoon, Ahn, Jin Seok, Cho, Eun Kyung, Kim, Dong-Wan, Kim, Hye Ryun, Min, Young Joo, Jung, Sin-Ho, Park, Keunchil, Mao, Mao, Ahn, Myung-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872763/
https://www.ncbi.nlm.nih.gov/pubmed/26755650
http://dx.doi.org/10.18632/oncotarget.6874
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author Lee, Ji Yun
Qing, Xu
Xiumin, Wei
Yali, Bai
Chi, Sangah
Bak, So Hyeon
Lee, Ho Yun
Sun, Jong-Mu
Lee, Se-Hoon
Ahn, Jin Seok
Cho, Eun Kyung
Kim, Dong-Wan
Kim, Hye Ryun
Min, Young Joo
Jung, Sin-Ho
Park, Keunchil
Mao, Mao
Ahn, Myung-Ju
author_facet Lee, Ji Yun
Qing, Xu
Xiumin, Wei
Yali, Bai
Chi, Sangah
Bak, So Hyeon
Lee, Ho Yun
Sun, Jong-Mu
Lee, Se-Hoon
Ahn, Jin Seok
Cho, Eun Kyung
Kim, Dong-Wan
Kim, Hye Ryun
Min, Young Joo
Jung, Sin-Ho
Park, Keunchil
Mao, Mao
Ahn, Myung-Ju
author_sort Lee, Ji Yun
collection PubMed
description We hypothesized that plasma-based EGFR mutation analysis for NSCLC may be feasible for monitoring treatment response to EGFR TKIs and also predict drug resistance. Clinically relevant mutations including exon 19 deletion (ex19del), L858R and T790M were analyzed using droplet digital PCR (ddPCR) in longitudinally collected plasma samples (n = 367) from 81 NSCLC patients treated with EGFR TKI. Of a total 58 baseline cell-free DNA (cfDNA) samples available for ddPCR analysis, 43 (74.1%) had the same mutation in the matched tumors (clinical sensitivity: 70.8% [17/24] for L858R and 76.5% [26/34] for ex19del). The concordance rates of plasma with tissue-based results of EGFR mutations were 87.9% for L858R and 86.2% for ex19del. All 40 patients who were detected EGFR mutations at baseline showed a dramatic decrease of mutant copies (>50%) in plasma during the first two months after treatment. Median progression-free survival (PFS) was 10.1 months for patients with undetectable EGFR v 6.3 months for detectable EGFR mutations in blood after two-month treatment (HR 3.88, 95% CI 1.48-10.19, P = 0.006). We observed emerging resistance with early detection of T790M as a secondary mutation in 14 (28.6%) of 49 patients. Plasma-based EGFR mutation analysis using ddPCR can monitor treatment response to EGFR TKIs and can lead to early detection of EGFR TKIs resistance. Further studies confirming clinical implications of EGFR mutation in plasma are warranted to guide optimal therapeutic strategies upon knowledge of treatment response and resistance.
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spelling pubmed-48727632016-05-25 Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02) Lee, Ji Yun Qing, Xu Xiumin, Wei Yali, Bai Chi, Sangah Bak, So Hyeon Lee, Ho Yun Sun, Jong-Mu Lee, Se-Hoon Ahn, Jin Seok Cho, Eun Kyung Kim, Dong-Wan Kim, Hye Ryun Min, Young Joo Jung, Sin-Ho Park, Keunchil Mao, Mao Ahn, Myung-Ju Oncotarget Research Paper We hypothesized that plasma-based EGFR mutation analysis for NSCLC may be feasible for monitoring treatment response to EGFR TKIs and also predict drug resistance. Clinically relevant mutations including exon 19 deletion (ex19del), L858R and T790M were analyzed using droplet digital PCR (ddPCR) in longitudinally collected plasma samples (n = 367) from 81 NSCLC patients treated with EGFR TKI. Of a total 58 baseline cell-free DNA (cfDNA) samples available for ddPCR analysis, 43 (74.1%) had the same mutation in the matched tumors (clinical sensitivity: 70.8% [17/24] for L858R and 76.5% [26/34] for ex19del). The concordance rates of plasma with tissue-based results of EGFR mutations were 87.9% for L858R and 86.2% for ex19del. All 40 patients who were detected EGFR mutations at baseline showed a dramatic decrease of mutant copies (>50%) in plasma during the first two months after treatment. Median progression-free survival (PFS) was 10.1 months for patients with undetectable EGFR v 6.3 months for detectable EGFR mutations in blood after two-month treatment (HR 3.88, 95% CI 1.48-10.19, P = 0.006). We observed emerging resistance with early detection of T790M as a secondary mutation in 14 (28.6%) of 49 patients. Plasma-based EGFR mutation analysis using ddPCR can monitor treatment response to EGFR TKIs and can lead to early detection of EGFR TKIs resistance. Further studies confirming clinical implications of EGFR mutation in plasma are warranted to guide optimal therapeutic strategies upon knowledge of treatment response and resistance. Impact Journals LLC 2016-01-09 /pmc/articles/PMC4872763/ /pubmed/26755650 http://dx.doi.org/10.18632/oncotarget.6874 Text en Copyright: © 2016 Lee et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Lee, Ji Yun
Qing, Xu
Xiumin, Wei
Yali, Bai
Chi, Sangah
Bak, So Hyeon
Lee, Ho Yun
Sun, Jong-Mu
Lee, Se-Hoon
Ahn, Jin Seok
Cho, Eun Kyung
Kim, Dong-Wan
Kim, Hye Ryun
Min, Young Joo
Jung, Sin-Ho
Park, Keunchil
Mao, Mao
Ahn, Myung-Ju
Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title_full Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title_fullStr Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title_full_unstemmed Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title_short Longitudinal monitoring of EGFR mutations in plasma predicts outcomes of NSCLC patients treated with EGFR TKIs: Korean Lung Cancer Consortium (KLCC-12-02)
title_sort longitudinal monitoring of egfr mutations in plasma predicts outcomes of nsclc patients treated with egfr tkis: korean lung cancer consortium (klcc-12-02)
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872763/
https://www.ncbi.nlm.nih.gov/pubmed/26755650
http://dx.doi.org/10.18632/oncotarget.6874
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