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肿瘤免疫微环境的无创成像与胃癌免疫治疗的反应相关。

Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer.

机构信息

Department of General Surgery, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.

Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.

出版信息

Nat Commun. 2022 Aug 30;13(1):5095. doi: 10.1038/s41467-022-32816-w.

Abstract

The tumor immune microenvironment (TIME) is associated with tumor prognosis and immunotherapy response. Here we develop and validate a CT-based radiomics score (RS) using 2272 gastric cancer (GC) patients to investigate the relationship between the radiomics imaging biomarker and the neutrophil-to-lymphocyte ratio (NLR) in the TIME, including its correlation with prognosis and immunotherapy response in advanced GC. The RS achieves an AUC of 0.795-0.861 in predicting the NLR in the TIME. Notably, the radiomics imaging biomarker is indistinguishable from the IHC-derived NLR status in predicting DFS and OS in each cohort (HR range: 1.694-3.394, P < 0.001). We find the objective responses of a cohort of anti-PD-1 immunotherapy patients is significantly higher in the low-RS group (60.9% and 42.9%) than in the high-RS group (8.1% and 14.3%). The radiomics imaging biomarker is a noninvasive method to evaluate TIME, and may correlate with prognosis and anti PD-1 immunotherapy response in GC patients.

摘要

肿瘤免疫微环境(TIME)与肿瘤预后和免疫治疗反应相关。在这里,我们使用 2272 名胃癌(GC)患者开发和验证了一种基于 CT 的放射组学评分(RS),以研究放射组学成像生物标志物与 TIME 中的中性粒细胞与淋巴细胞比值(NLR)之间的关系,包括其与晚期 GC 预后和免疫治疗反应的相关性。该 RS 在预测 TIME 中的 NLR 方面的 AUC 为 0.795-0.861。值得注意的是,在每个队列中,放射组学成像生物标志物在预测DFS 和 OS 方面与 IHC 衍生的 NLR 状态无法区分(HR 范围:1.694-3.394,P<0.001)。我们发现,在接受抗 PD-1 免疫治疗的患者队列中,低 RS 组(60.9%和 42.9%)的客观缓解率明显高于高 RS 组(8.1%和 14.3%)。放射组学成像生物标志物是一种评估 TIME 的非侵入性方法,可能与 GC 患者的预后和抗 PD-1 免疫治疗反应相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902c/9427761/fb9c9b2eba7b/41467_2022_32816_Fig1_HTML.jpg

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