4.5 Article

Cell-free DNA from cerebrospinal fluid can be used to detect the EGFR mutation status of lung adenocarcinoma patients with central nervous system metastasis

期刊

TRANSLATIONAL LUNG CANCER RESEARCH
卷 10, 期 2, 页码 914-+

出版社

AME PUBLISHING COMPANY
DOI: 10.21037/tlcr-21-62

关键词

Non-small cell lung cancer (NSCLC); leptomeningeal metastasis (LM); liquid biopsy; cerebrospinal fluid (CSF); EGFR mutation

资金

  1. Henan Province Health and Youth Subject Leader Training Project [[2020]60]
  2. Leading Talent Cultivation Project of Henan Health Science and Technology Innovation Talents [YXKC2020009]
  3. Zhongyuan Qianren Jihua [ZYQR201912118]
  4. Henan International Joint Laboratory of drug resisitance and reversal of targeted therapy for lung cancer [[2021]10]
  5. Henan Medical Key Laboratory of Refractory lung cancer [[2020]27]
  6. Henan Refractory Lung Cancer Drug Treatment Engineering Technology Research Center [[2020]4]
  7. 51282 Project Leading Talent of Henan Provincial Health Science and Technology Innovation Talents [[2016] 32]
  8. Huilan Charity Fund [HL-HS2020-129]
  9. Major public welfare projects in Henan Province [201300310400]

向作者/读者索取更多资源

CSF samples showed higher EGFR mutation-positive rate than plasma samples, and were correlated with patient prognosis. They could be helpful in detecting EGFR mutation status, especially in patients with leptomeningeal metastasis.
Background: EGFR tyrosine kinase inhibitors (TKIs) have revolutionized the therapeutic approach for EGFR mutated patients. However, acquired resistance to EGFR-TKI therapy is unavoidable. Repeat biopsy cannot be used, and peripheral blood detection shows a low positive rate in cases of brain-only disease progression. Methods: Droplet digital polymerase chain reaction (PCR) (ddPCR) was performed on the plasma and cerebrospinal fluid (CSF) samples of 79 lung adenocarcinoma (LUAD) patients with EGFR mutations and central nervous system (CNS) metastasis. The differences in the EGFR mutation status between the paired plasma and CSF samples were assessed, and the role of CSF testing as a predictor of overall survival was evaluated. Results: The CSF of patients with neurological symptoms, EGFR-TKI treatment, or leptomeningeal metastasis (LM) had a significantly higher positive rate of EGFR mutation compared to the plasma samples (P=0.001, P=0.035, P=0.019, respectively). Moreover, EGFR mutation status in CSF was consistent with neurological symptoms and LM (kappa =0.455, P<0.001; kappa =0.508, P<0.001; respectively). For the patients with brain metastasis, EGFR mutation-positive rate in CSF samples was lower than that in plasma samples (28.3% vs. 64.2%, P<0.001), while the patients with LM had the opposite result (84.6% vs. 38.5%, P=0.004). Moreover, patients with EGFR mutation in their CSF experienced worse survival [hazard ratio (HR) =2.93, 95% confidence interval (CI): 1.45-5.92; P=0.003, P adjust <0.0001]. Conclusions: The EGFR mutation status of CSF was different from that of plasma and is correlated with patient prognosis. CSF could be helpful in detecting the EGFR mutation status of patients, particularly in cases of LM. Background: EGFR tyrosine kinase inhibitors (TKIs) have revolutionized the therapeutic approach for EGFR mutated patients. However, acquired resistance to EGFR-TKI therapy is unavoidable. Repeat biopsy cannot be used, and peripheral blood detection shows a low positive rate in cases of brain-only disease progression. Methods: Droplet digital polymerase chain reaction (PCR) (ddPCR) was performed on the plasma and cerebrospinal fluid (CSF) samples of 79 lung adenocarcinoma (LUAD) patients with EGFR mutations and central nervous system (CNS) metastasis. The differences in the EGFR mutation status between the paired plasma and CSF samples were assessed, and the role of CSF testing as a predictor of overall survival was evaluated. Results: The CSF of patients with neurological symptoms, EGFR-TKI treatment, or leptomeningeal metastasis (LM) had a significantly higher positive rate of EGFR mutation compared to the plasma samples (P=0.001, P=0.035, P=0.019, respectively). Moreover, EGFR mutation status in CSF was consistent with neurological symptoms and LM (kappa =0.455, P<0.001; kappa =0.508, P<0.001; respectively). For the patients with brain metastasis, EGFR mutation-positive rate in CSF samples was lower than that in plasma samples (28.3% vs. 64.2%, P<0.001), while the patients with LM had the opposite result (84.6% vs. 38.5%, P=0.004). Moreover, patients with EGFR mutation in their CSF experienced worse survival [hazard ratio (HR) =2.93, 95% confidence interval (CI): 1.45-5.92; P=0.003, P adjust <0.0001]. Conclusions: The EGFR mutation status of CSF was different from that of plasma and is correlated with patient prognosis. CSF could be helpful in detecting the EGFR mutation status of patients, particularly in cases of LM.

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