Clinically relevant prognostic and predictive markers for immune-checkpoint-inhibitor (ICI) therapy in non-small cell lung cancer (NSCLC)

被引:105
|
作者
Brueckl, Wolfgang M. [1 ,2 ]
Ficker, Joachim H. [1 ,2 ]
Zeitler, Gloria [2 ]
机构
[1] Paracelsus Med Univ, Gen Hosp Nuremberg, Nuremberg Lung Canc Ctr, Dept Resp Med Allergol & Sleep Med, Prof Ernst Nathan Str 1, D-90419 Nurnberg, Germany
[2] Paracelus Med Private Univ Nuremberg, Prof Ernst Nathan Str 1, D-90119 Nurnberg, Germany
关键词
Immunotherapy; Immune checkpoint inhibitor (ICI); PD-L1; inhibitor; NSCLC; Prognostic; Predictive; Biomarker; ENDOTHELIAL GROWTH-FACTOR; OPEN-LABEL; INFLAMMATORY BIOMARKERS; SYSTEMIC THERAPY; LYMPHOCYTE RATIO; PLEURAL EFFUSION; POOLED ANALYSIS; FACTOR VEGF; STAGE IV; DOCETAXEL;
D O I
10.1186/s12885-020-07690-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundImmune checkpoint inhibitors (ICI) either alone or in combination with chemotherapy have expanded our choice of agents for the palliative treatment of non-small cell lung cancer (NSCLC) patients. Unfortunately, not all patients will experience favorable response to treatment with ICI and may even suffer from severe side effects. Therefore, prognostic and predictive markers, beyond programmed death ligand 1 (PD-L1) expression status, are of utmost importance for decision making in the palliative treatment. This review focuses on clinical, laboratory and genetic markers, most of them easily to obtain in the daily clinical practice.ResultsRecently, a number of prognostic and predictive factors in association to palliative ICI therapy have been described in NSCLC. Besides biometric parameters and clinical characteristics of the tumor, there are useful markers from routine blood sampling as well as innovative soluble genetic markers which can be determined before and during ICI treatment. Additionally, the level of evidence is noted.ConclusionsThese factors can be helpful to predict patients' outcome and tumor response to ICI. They should be implemented prospectively in ICI based clinical trials to develop reliable algorithms for palliative NSCLC treatment.
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页数:16
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