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一种用于宫颈癌放疗后远处转移的免疫基因表达风险评分

An Immune Gene Expression Risk Score for Distant Metastases after Radiotherapy for Cervical Cancer.

作者信息

Lukovic Jelena, Pintilie Melania, Han Kathy, Fyles Anthony W, Bruce Jeffrey P, Quevedo Rene, Pugh Trevor J, Fjeldbo Christina S, Lyng Heidi, Milosevic Michael F

机构信息

Princess Margaret Cancer Centre, Toronto, Canada.

Department of Radiation Oncology, University of Toronto, Toronto, Canada.

出版信息

Clin Cancer Res. 2024 Mar 15;30(6):1200-1207. doi: 10.1158/1078-0432.CCR-23-2085.

Abstract

PURPOSE

To develop an immune-based gene expression risk score to identify patients with cervical cancer at increased risk of distant metastases (DM).

EXPERIMENTAL DESIGN

Tumor biopsies were obtained from 81 patients prior to chemoradiotherapy. Whole-transcriptome RNA sequencing was performed (Illumina NextSeq500). Beginning with 4,723 immune-related genes, a 55-gene risk score for DM was derived using Cox modeling and principal component analysis. It was validated in independent cohorts of 274 patients treated at the Norwegian Radium Hospital (NRH) and 206 patients from The Cancer Genome Atlas (TCGA).

RESULTS

The risk score was predictive of DM (HR, 2.7; P < 0.0001) and lower cause-specific survival (CSS) by univariate analysis (HR, 2.0; P = 0.0003) and multivariate analysis adjusted for clinical factors (DM HR, 3.0; P < 0.0001; CSS HR, 2.2; P = 0.0004). The risk score predicted DM (HR, 1.4; P = 0.05) and CSS (HR, 1.48; P = 0.013) in the NRH cohort and CSS (HR, 1.4; P = 0.03) in TCGA cohort. Higher risk scores were associated with lower CIBERSORT estimates of tumor-infiltrating immune cells, including CD8 T cells and M1 and M2 macrophages (all P < 0.001). Higher risk scores were associated with lower expression (all P < 0.001) of important chemokines (CXCL12, CXCR4), IFN-regulated genes (IRF1, STAT1, IDO1), and immune checkpoint regulators (PD-1, PD-L1, CTLA-4).

CONCLUSIONS

The immune metastatic risk score addresses important challenges in the treatment of cervical cancer-identifying patients at high risk of DM after radiotherapy. The findings of this study indicate that high tumor mutational burden and a "cold," immune-excluded tumor microenvironment influence distant metastatic recurrence. Further validation of the risk score is needed.

摘要

目的

开发一种基于免疫的基因表达风险评分,以识别远处转移(DM)风险增加的宫颈癌患者。

实验设计

在放化疗前从81例患者获取肿瘤活检样本。进行全转录组RNA测序(Illumina NextSeq500)。从4723个免疫相关基因开始,使用Cox模型和主成分分析得出一个用于预测DM的55基因风险评分。在挪威镭医院(NRH)接受治疗的274例患者以及来自癌症基因组图谱(TCGA)的206例患者的独立队列中对其进行验证。

结果

通过单因素分析(HR,2.7;P < 0.0001)和针对临床因素进行调整的多因素分析(DM HR,3.0;P < 0.0001;CSS HR,2.2;P = 0.0004),风险评分可预测DM以及较低的病因特异性生存率(CSS)。风险评分在NRH队列中可预测DM(HR,1.4;P = 0.05)和CSS(HR,1.48;P = 0.013),在TCGA队列中可预测CSS(HR,1.4;P = 0.03)。较高的风险评分与肿瘤浸润免疫细胞(包括CD8 T细胞、M1和M2巨噬细胞)的CIBERSORT估计值较低相关(所有P < 0.001)。较高的风险评分与重要趋化因子(CXCL12、CXCR4)、IFN调节基因(IRF1、STAT1、IDO1)和免疫检查点调节因子(PD-1、PD-L1、CTLA-4)的较低表达相关(所有P < 0.001)。

结论

免疫转移风险评分解决了宫颈癌治疗中的重要挑战,即识别放疗后DM高风险患者。本研究结果表明,高肿瘤突变负荷和“冷”的、免疫排除的肿瘤微环境影响远处转移复发。风险评分需要进一步验证。

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