4.7 Article

Serum neurofilament light chain or glial fibrillary acidic protein in the diagnosis and prognosis of brain metastases

Journal

JOURNAL OF NEUROLOGY
Volume 269, Issue 2, Pages 815-823

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00415-021-10660-0

Keywords

Brain metastases; Neurofilament light chain (NfL); Glial fibrillary acidic protein (GFAP); Diagnostic model; Lung cancer

Funding

  1. Fundamental and Applied Fundamental Research Project of City-School (Institute) Joint Funding Project
  2. Guangzhou Science and Technology Bureau [202102010345]
  3. Guangdong Science and Technology Program special projects [2020A1111350025]
  4. State Key Laboratory of Respiratory Disease-The open project [SKLRD-OP-202111]

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The study found that serum neurofilament light chain and glial fibrillary acidic protein could serve as potential diagnostic biomarkers for brain metastases in lung cancer patients. A diagnostic model was established to provide individual diagnoses, and higher levels of NfL were associated with poor prognosis in patients with brain metastases.
Introduction Brain metastases (BM) remains the most cumbersome disease burden in patients with lung cancer. This study aimed to investigate whether serum brain injury biomarkers can indicate BM, to further establish related diagnostic models, or to predict prognosis of BM. Materials and methods This was a prospective study of patients diagnosed with lung cancer with BM (BM group), with lung cancer without BM (NBM group), and healthy participants (control group). Serum neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) were detected at baseline. We identified and integrated the risk factors of BM to establish diagnostic models. Results A total of 158 patients were included (n = 37, 57, and 64 in the BM, NBM, and control groups, respectively). Serum biomarker levels were significantly higher in the NBM group than in the control group. Higher serum NfL and GFAP concentrations were associated with BM (odds ratios, 3.06 and 1.79, respectively). NfL (area under curve [AUC] = 0.77, p < 0.001) and GFAP (AUC = 0.64, p = 0.02) had diagnostic value for BM. The final diagnostic model included NfL level, age, Karnofsky Performance Status. The model had an AUC value of 0.83 (95% confidence interval [CI] 0.75-0.92). High NfL concentration was correlated with poor overall survival of patients with BM (hazard ratio, 3.31; 95% CI 1.22-9.04; p = 0.019). Conclusion Serum NfL and GFAP could be potential diagnostic biomarkers for BM in patients with lung cancer. We established a model that can provide individual diagnoses of BM. Higher NfL level may be associated with poor prognosis of patients with BM.

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