Northwestern University Feinberg School of Medicine, Chicago, IL 60611.
Northwestern University Feinberg School of Medicine, Chicago, IL 60611; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611.
Cancer Treat Res Commun. 2021;27:100317. doi: 10.1016/j.ctarc.2021.100317. Epub 2021 Jan 21.
Prior studies have demonstrated that signaling via the estrogen and progesterone receptors (ER and PR) may affect prognosis in non-small cell lung cancer (NSCLC). The precise impact of hormone signaling on clinical outcomes in NSCLC, especially in the context of immune checkpoint blockade, remains unclear.
We obtained RNA-Seq data from The Cancer Genome Atlas (TCGA) to determine mRNA expression levels of ESR1 (ER-α), ESR2 (ER-β), PGR (PR), CYP19A1 (aromatase), and immune-related genes. Tumor infiltration by activated T cells was predicted based on expression of immune metagenes.
High levels of both ESR1 and PGR were associated with significantly decreased tumor infiltration by CD4+ and CD8+ activated T cells. CYP19A1 expression was associated with decreased CD4+ but not CD8+ T cell infiltration. There were no significant differences based on ESR2. These findings persisted after stratifying patients based on sex and tumor histology. In addition, increased ESR1 was associated with high gene expression of immune checkpoint markers, while increased PGR was associated with high levels of TGF-β genes. In a multivariate logistic regression analysis, ESR1, PGR, TGFB1, and the total number of somatic variants were identified as independent factors predicting T cell infiltration.
Increased gene expression of ER-α and PR was associated with decreased activated T cell infiltration in patients with NSCLC. The relevance of hormone receptor status should be validated clinically, including in the context of immune checkpoint inhibitors.
先前的研究表明,雌激素和孕激素受体(ER 和 PR)的信号转导可能影响非小细胞肺癌(NSCLC)的预后。激素信号对 NSCLC 临床结局的具体影响,特别是在免疫检查点阻断的背景下,仍不清楚。
我们从癌症基因组图谱(TCGA)获得了 RNA-Seq 数据,以确定 ESR1(ER-α)、ESR2(ER-β)、PGR(PR)、CYP19A1(芳香酶)和免疫相关基因的 mRNA 表达水平。根据免疫元基因的表达预测激活 T 细胞对肿瘤的浸润。
ESR1 和 PGR 水平高与 CD4+和 CD8+激活 T 细胞浸润显著减少相关。CYP19A1 的表达与 CD4+T 细胞浸润减少有关,但与 CD8+T 细胞浸润无关。ESR2 则无显著差异。这些发现在根据性别和肿瘤组织学对患者进行分层后仍然存在。此外,ESR1 增加与免疫检查点标志物的高基因表达相关,而 PGR 增加与 TGF-β基因的高水平相关。在多变量逻辑回归分析中,ESR1、PGR、TGFB1 和体细胞变异总数被确定为预测 T 细胞浸润的独立因素。
在 NSCLC 患者中,ER-α和 PR 的基因表达增加与激活的 T 细胞浸润减少相关。激素受体状态的相关性应在临床上进行验证,包括在免疫检查点抑制剂的背景下。