Stinchcombe Thomas E
Division of Medical Oncology, Duke Cancer Institute, Durham, NC, USA.
Transl Lung Cancer Res. 2023 Jan 31;12(1):158-167. doi: 10.21037/tlcr-22-530. Epub 2023 Jan 16.
For patients with metastatic non-small cell lung cancer (NSCLC) without an oncogenic driver, systemic therapy with immune checkpoint inhibitors (ICIs) alone or in combination with chemotherapy have significantly improved the outcomes. However, the majority of patients do not have a durable response, and there is a need for additional predictive biomarkers. The objective of this narrative review is to describe potential biomarkers for immunotherapy.
Narrative overview of the literature synthesizing the findings of literature reporting retrospective, prospective, and subset analyses of studies investigating potential predictive biomarkers for ICI.
Tumor expression of programmed death ligand-1 (PD-L1) is the only clinically available biomarker for patients receiving ICI-based therapy. However, PD-L1 has significant limitations and studies have investigated the predictive value of higher PD-L1 expression levels. There has been interest in tumor mutation burden (TMB) based on the premise that a higher TMB would be associated with a more neoantigens, which would increase the likelihood of an immune response. The studies to date have not revealed a consistent association with TMB level and survival benefit. Kelch-like ECH Associated Protein 1 () and serine/threonine kinase 11 () mutations have been associated with worse outcomes with ICI but these mutations appear to be associated with a worse prognosis, and not predictive for ICI. Tumor infiltrating lymphocytes (TIL's) are the mechanism of immune response, and there is interest in further investigating the presence, type and distribution of TIL's to predict immune benefit. Circulating tumor deoxyribonucleic acid (ctDNA) levels, at baseline and on treatment samples, are being investigated to assess response to therapy and long-term benefit of ICI.
None of the current biomarkers in development are validated for use in routine clinical care. Given the complexity of NSCLC biology and immune response to ICI most likely a composite biomarker using multiple biomarkers will need to be develop.
对于没有致癌驱动因素的转移性非小细胞肺癌(NSCLC)患者,单独使用免疫检查点抑制剂(ICI)或与化疗联合进行全身治疗已显著改善了治疗结果。然而,大多数患者没有持久的反应,因此需要额外的预测生物标志物。本叙述性综述的目的是描述免疫治疗的潜在生物标志物。
对文献进行叙述性概述,综合报告对ICI潜在预测生物标志物进行研究的回顾性、前瞻性和亚组分析的文献结果。
程序性死亡配体-1(PD-L1)的肿瘤表达是接受基于ICI治疗的患者唯一可临床应用的生物标志物。然而,PD-L1有显著局限性,研究已对更高PD-L1表达水平的预测价值进行了调查。基于更高的肿瘤突变负荷(TMB)会与更多新抗原相关,从而增加免疫反应可能性的前提,人们对TMB产生了兴趣。迄今为止的研究尚未揭示TMB水平与生存获益之间的一致关联。 Kelch样ECH相关蛋白1( )和丝氨酸/苏氨酸激酶11( )突变与ICI治疗效果较差相关,但这些突变似乎与预后较差相关,而非对ICI有预测性。肿瘤浸润淋巴细胞(TIL)是免疫反应的机制,人们有兴趣进一步研究TIL的存在、类型和分布以预测免疫获益。正在研究基线和治疗样本中的循环肿瘤脱氧核糖核酸(ctDNA)水平,以评估对治疗的反应以及ICI的长期获益。
目前正在研发的生物标志物均未被验证可用于常规临床护理。鉴于NSCLC生物学的复杂性以及对ICI的免疫反应,很可能需要开发一种使用多种生物标志物的复合生物标志物。