Givechian Kevin B, Wnuk Kamil, Garner Chad, Benz Stephen, Garban Hermes, Rabizadeh Shahrooz, Niazi Kayvan, Soon-Shiong Patrick
NantOmics LLC, Culver City, CA 90232 USA.
NantBioscience, Inc.|NantWorks, Culver City, CA 90232 USA.
NPJ Genom Med. 2018 Jun 13;3:14. doi: 10.1038/s41525-018-0054-7. eCollection 2018.
Immune heterogeneity within the tumor microenvironment undoubtedly adds several layers of complexity to our understanding of drug sensitivity and patient prognosis across various cancer types. Within the tumor microenvironment, immunogenicity is a favorable clinical feature in part driven by the antitumor activity of CD8+ T cells. However, tumors often inhibit this antitumor activity by exploiting the suppressive function of regulatory T cells (Tregs), thus suppressing the adaptive immune response. Despite the seemingly intuitive immunosuppressive biology of Tregs, prognostic studies have produced contradictory results regarding the relationship between Treg enrichment and survival. We therefore analyzed RNA-seq data of Treg-enriched tumor samples to derive a pan-cancer gene signature able to help reconcile the inconsistent results of Treg studies, by better understanding the variable clinical association of Tregs across alternative tumor contexts. We show that increased expression of a 32-gene signature in Treg-enriched tumor samples ( = 135) is able to distinguish a cohort of patients associated with chemosensitivity and overall survival. This cohort is also enriched for CD8+ T cell abundance, as well as the antitumor M1 macrophage subtype. With a subsequent validation in a larger TCGA pool of Treg-enriched patients ( = 626), our results reveal a gene signature able to produce unsupervised clusters of Treg-enriched patients, with one cluster of patients uniquely representative of an immunogenic tumor microenvironment. Ultimately, these results support the proposed gene signature as a putative biomarker to identify certain Treg-enriched patients with immunogenic tumors that are more likely to be associated with features of favorable clinical outcome.
肿瘤微环境中的免疫异质性无疑给我们理解各种癌症类型的药物敏感性和患者预后增加了多层复杂性。在肿瘤微环境中,免疫原性是一种有利的临床特征,部分由CD8 + T细胞的抗肿瘤活性驱动。然而,肿瘤常常通过利用调节性T细胞(Tregs)的抑制功能来抑制这种抗肿瘤活性,从而抑制适应性免疫反应。尽管Tregs的免疫抑制生物学看似直观,但关于Treg富集与生存之间的关系,预后研究得出了相互矛盾的结果。因此,我们分析了Treg富集的肿瘤样本的RNA测序数据,以得出一个泛癌基因特征,通过更好地理解Tregs在不同肿瘤背景下的可变临床关联,来帮助调和Treg研究中不一致的结果。我们表明,Treg富集的肿瘤样本(n = 135)中32个基因特征的表达增加能够区分出一组与化疗敏感性和总生存相关的患者。该组患者中CD8 + T细胞丰度以及抗肿瘤M1巨噬细胞亚型也有所富集。在更大的Treg富集患者的TCGA库(n = 626)中进行后续验证后,我们的结果揭示了一个基因特征,它能够对Treg富集的患者产生无监督聚类,其中一组患者独特地代表了免疫原性肿瘤微环境。最终,这些结果支持所提出的基因特征作为一种推定的生物标志物,以识别某些具有免疫原性肿瘤的Treg富集患者,这些患者更有可能与良好临床结果的特征相关。