Biomarkers & Research, Nordic Bioscience, 2730, Herlev, Denmark.
J Exp Clin Cancer Res. 2021 Oct 16;40(1):326. doi: 10.1186/s13046-021-02133-z.
Despite the overall clinical success of immune checkpoint inhibitors (ICIs) for treating patients with solid tumors, a large number of patients do not benefit from this approach. Consequently, there is a need for predictive biomarkers. The most prevalent biomarkers such as PD-L1 expression and tumor mutational burden (TMB) do not reliably predict response to ICIs across different solid tumor types suggesting that a broader view of regulating factors in the tumor microenvironment is needed. Emerging evidence indicates that one central common denominator of resistance to ICIs may be fibrotic activity characterized by extracellular matrix (ECM) and collagen production by cancer-associated fibroblasts (CAFs). A fibroblast-and collagen-rich stroma attenuates immunotherapy response by contributing to inhibition and exclusion of T cells. Here we review opportunities and limitations in the utilization of the most prevalent biomarkers for ICIs and elaborate on the unique opportunities with biomarkers originating from the activated fibroblasts producing an impermeable ECM. We propose that ECM and collagen biomarkers measured non-invasively may be a novel and practical approach to optimize treatment strategies and improve patient selection for ICI therapy.
尽管免疫检查点抑制剂 (ICI) 在治疗实体瘤患者方面总体上取得了临床成功,但仍有大量患者无法从中获益。因此,需要寻找预测性生物标志物。目前最常见的生物标志物,如 PD-L1 表达和肿瘤突变负担 (TMB),并不能可靠地预测不同实体瘤类型对 ICI 的反应,这表明需要更广泛地了解肿瘤微环境中的调节因子。新出现的证据表明,对 ICI 产生耐药性的一个共同核心因素可能是纤维化活性,其特征是癌症相关成纤维细胞 (CAF) 产生细胞外基质 (ECM) 和胶原蛋白。富含成纤维细胞和胶原蛋白的基质通过抑制和排除 T 细胞,从而削弱免疫治疗的反应。在这里,我们回顾了最常见的 ICI 生物标志物的应用机会和局限性,并详细阐述了源自激活的成纤维细胞产生不可渗透的 ECM 的生物标志物的独特机会。我们提出,非侵入性测量的 ECM 和胶原蛋白生物标志物可能是一种新颖且实用的方法,可以优化治疗策略并改善 ICI 治疗的患者选择。