Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technical University of Munich, Freising, Germany.
Cancer Biomark. 2023;38(1):77-102. doi: 10.3233/CBM-230036.
Recent studies illustrated the effects of granzymes (GZMs) gene alterations on immunotherapy response of cancer patients. Thus, we aimed to systematically analyze the expression and prognostic value of GZMs for immunotherapy in different cancers, and identified heterogeneity of the GZMs expression-based CD8+ T cell subsets.
First, we analyzed GZMs expression and prognostic value at pan-cancer level. Meanwhile, we established a GZMs score by using the single-sample gene set enrichment analysis (ssGSEA) algorithm to calculate the enrichment scores (ES) based on a gene set of five GZMs. The potential value of GZMs score for predicting survival and immunotherapy response was evaluated using the tumor immune dysfunction and exclusion (TIDE) and immunophenoscore (IPS) algorithm, and we validated it in immunotherapy cohorts. CellChat, scMetabolism, and SCENIC R packages were used for intercellular communication networks, quantifying metabolism activity, and regulatory network reconstruction, respectively.
The GZMs score was significantly associated with IPS, TIDE score. Patients with high GZMs score tended to have higher objective response rates of immunotherapy in melanoma and urothelial carcinoma. GZMs expression-based CD8+ T cell subsets presented heterogeneity in functions, metabolism, intercellular communications, and the tissue-resident memory programs in lung adenocarcinoma (LUAD). The transcription factors RUNX3 and ETS1, which may regulate the expression of GZMs, was found to be positively correlated with the tissue-resident memory T cells-related marker genes.
The higher GZMs score may indicate better response and overall survival (OS) outcome for immunotherapy in melanoma and urothelial carcinoma but worse OS in renal cell carcinoma (RCC). The GZMs score is a potential prognostic biomarker of diverse cancers. RUNX3 and ETS1 may be the potential targets to regulate the infiltration of GZMs expression-based CD8+ T cell subsets and affect the tissue-resident memory programs in LUAD, which may affect the prognosis of LUAD patients and the response to immunotherapy.
最近的研究表明颗粒酶(GZMs)基因改变对癌症患者免疫治疗反应的影响。因此,我们旨在系统分析 GZMs 在不同癌症中的免疫治疗表达和预后价值,并确定基于 GZMs 表达的 CD8+T 细胞亚群的异质性。
首先,我们在泛癌水平上分析了 GZMs 的表达和预后价值。同时,我们使用单样本基因集富集分析(ssGSEA)算法建立了 GZMs 评分,根据五个 GZMs 的基因集计算富集评分(ES)。使用肿瘤免疫功能障碍和排斥(TIDE)和免疫表型评分(IPS)算法评估 GZMs 评分预测生存和免疫治疗反应的潜在价值,并在免疫治疗队列中进行验证。CellChat、scMetabolism 和 SCENIC R 包分别用于细胞间通讯网络、量化代谢活性和调节网络重建。
GZMs 评分与 IPS、TIDE 评分显著相关。高 GZMs 评分的患者在黑色素瘤和尿路上皮癌中免疫治疗的客观缓解率较高。基于 GZMs 表达的 CD8+T 细胞亚群在功能、代谢、细胞间通讯和肺腺癌(LUAD)中的组织驻留记忆程序方面存在异质性。发现转录因子 RUNX3 和 ETS1 可能调节 GZMs 的表达,与组织驻留记忆 T 细胞相关标记基因呈正相关。
较高的 GZMs 评分可能预示着黑色素瘤和尿路上皮癌免疫治疗反应和总生存期(OS)的改善,但肾细胞癌(RCC)的 OS 更差。GZMs 评分是多种癌症潜在的预后生物标志物。RUNX3 和 ETS1 可能是调节基于 GZMs 表达的 CD8+T 细胞亚群浸润并影响 LUAD 中组织驻留记忆程序的潜在靶点,这可能影响 LUAD 患者的预后和对免疫治疗的反应。