NanoString Technologies Inc Seattle WA USA
0000 0004 0572 4227grid.431072.3AbbVie Inc. Redwood City CA USA
J Immunother Cancer. 2018 Jun 22;6(1):63. doi: 10.1186/s40425-018-0367-1.
The Tumor Inflammation Signature (TIS) is an investigational use only (IUO) 18-gene signature that measures a pre-existing but suppressed adaptive immune response within tumors. The TIS has been shown to enrich for patients who respond to the anti-PD1 agent pembrolizumab. To explore this immune phenotype within and across tumor types, we applied the TIS algorithm to over 9000 tumor gene expression profiles downloaded from The Cancer Genome Atlas (TCGA). As expected based on prior evidence, tumors with known clinical sensitivity to anti-programmed cell death protein 1 (PD-1) blockade had higher average TIS scores. Furthermore, TIS scores were more variable within than between tumor types, and within each tumor type a subset of patients with elevated scores was identifiable although with different prevalence associated with each tumor type, the latter consistent with the observed clinical responsiveness to anti PD-1 blockade. Notably, TIS scores only minimally correlated with mutation load in most tumors and ranking tumors by median TIS score showed differing association to clinical sensitivity to PD-1/PD-1 ligand 1 (PD-L1) blockade than ranking of the same tumors by mutation load. The expression patterns of the TIS algorithm genes were conserved across tumor types yet appeared to be minimally prognostic in most cancers, consistent with the TIS score serving as a pan-cancer measurement of the inflamed tumor phenotype. Characterization of the prevalence and variability of TIS will lead to increased understanding of the immune status of untreated tumors and may lead to improved indication selection for testing immunotherapy agents.
肿瘤炎症特征(TIS)是一种仅用于研究(IUO)的 18 基因特征,可测量肿瘤内预先存在但受到抑制的适应性免疫反应。已经证明,TIS 可富集对 PD-1 抑制剂 pembrolizumab 有反应的患者。为了在肿瘤内和跨肿瘤类型探索这种免疫表型,我们将 TIS 算法应用于从癌症基因组图谱(TCGA)下载的 9000 多个肿瘤基因表达谱。基于先前的证据,我们预计具有已知对抗程序性细胞死亡蛋白 1(PD-1)阻断剂敏感性的肿瘤具有更高的平均 TIS 评分。此外,TIS 评分在肿瘤内的变异性大于肿瘤间,并且在每种肿瘤类型中,都可以识别出具有升高评分的患者亚组,尽管与每种肿瘤类型相关的患病率不同,这与观察到的对 PD-1 阻断的临床反应一致。值得注意的是,在大多数肿瘤中,TIS 评分与突变负荷的相关性极小,并且按中位数 TIS 评分对肿瘤进行排名与临床敏感性对 PD-1/PD-1 配体 1(PD-L1)阻断的相关性与按突变负荷对相同肿瘤进行排名的相关性不同。TIS 算法基因的表达模式在肿瘤间具有保守性,但在大多数癌症中似乎预后效果最小,这与 TIS 评分作为肿瘤炎症表型的泛癌测量一致。TIS 的普遍性和可变性的特征将导致对未治疗肿瘤的免疫状态的理解增加,并可能导致改善对免疫治疗药物检测的适应证选择。