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人工智能驱动的肿瘤浸润淋巴细胞空间分析作为预测依维莫司在腺样囊性癌中的生物标志物。

Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma.

机构信息

Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.

Lunit, Seoul, South Korea.

出版信息

Head Neck. 2023 Dec;45(12):3086-3095. doi: 10.1002/hed.27537. Epub 2023 Oct 13.

DOI:10.1002/hed.27537
PMID:37828867
Abstract

BACKGROUND

This study analyzed the predictive value of artificial intelligence (AI)-powered tumor-infiltrating lymphocyte (TIL) analysis in recurrent or metastatic (R/M) adenoid cystic carcinoma (ACC) treated with axitinib.

METHODS

Patients from a multicenter, prospective phase II trial evaluating axitinib efficacy in R/M ACC were included in this study. H&E whole-side images of archival tumor tissues were analyzed by Lunit SCOPE IO, an AI-powered spatial TIL analyzer.

RESULTS

Twenty-seven patients were included in the analysis. The best response was stable disease, and the median progression-free survival (PFS) was 11.1 months (95% CI, 9.2-13.7 months). Median TIL densities in the cancer and surrounding stroma were 25.8/mm (IQR, 8.3-73.0) and 180.4/mm (IQR, 69.6-342.8), respectively. Patients with stromal TIL density >342.5/mm exhibited longer PFS (p = 0.012).

CONCLUSIONS

Cancer and stromal area TIL infiltration were generally low in R/M ACC. Higher stromal TIL infiltration was associated with a longer PFS with axitinib treatment.

摘要

背景

本研究分析了人工智能(AI)驱动的肿瘤浸润淋巴细胞(TIL)分析在接受阿昔替尼治疗的复发性或转移性(R/M)腺样囊性癌(ACC)中的预测价值。

方法

本研究纳入了一项多中心、前瞻性评估阿昔替尼治疗 R/M ACC 疗效的 II 期临床试验中的患者。采用人工智能驱动的空间 TIL 分析工具 Lunit SCOPE IO 对存档肿瘤组织的 H&E 全切片图像进行分析。

结果

共纳入 27 例患者进行分析。最佳缓解为疾病稳定,中位无进展生存期(PFS)为 11.1 个月(95%CI,9.2-13.7 个月)。肿瘤和周围基质中 TIL 密度的中位数分别为 25.8/mm(IQR,8.3-73.0)和 180.4/mm(IQR,69.6-342.8)。基质中 TIL 密度>342.5/mm 的患者 PFS 更长(p=0.012)。

结论

R/M ACC 中的肿瘤和基质区 TIL 浸润通常较低。较高的基质 TIL 浸润与阿昔替尼治疗后更长的 PFS 相关。

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