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基于全切片图像的风险评分可预测三阴性乳腺癌患者的预后及乳房切除术后放疗的获益情况。

A whole slide image-based risk score predicts prognosis and postmastectomy radiotherapy benefit in triple negative breast cancer patients.

作者信息

Chen Hong, Zhang Lizhi, Liu Pei, Ji Luping, Luo Chuanxu, Peng Bo, Luo Ting, Ye Feng, Zhong Xiaorong

机构信息

Department of Pathology, Institute of Clinical Pathology, Key Laboratory of Transplant Engineering and Immunology (NHFPC), Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China.

Image Processing and Parallel Computing Laboratory, School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, 610500, China.

出版信息

Sci Rep. 2025 Aug 25;15(1):31255. doi: 10.1038/s41598-025-12957-w.

Abstract

There are few tools support postmastectomy radiotherapy (PMRT) decisions for triple-negative breast cancer (TNBC) patients. This study aimed to develop a whole slide image (WSI)-based risk score to identify PMRT beneficiaries. We analyzed 608 TNBC patients treated at West China Hospital, Sichuan University (WCH) and 182 patients from The Cancer Genome Atlas (TCGA), diagnosed between 2011 and 2019. Utilizing features extracted from hematoxylin and eosin-stained WSI and clinicopathological characteristics, an image score and a clinicopathological score for each patient were computed via eXtreme Gradient Boosting, combined into a comprehensive risk score. Multivariate Cox proportional hazards regression analyses revealed a higher image score strongly associated with worse 5-year invasive disease-free survival (iDFS) (HR = 8.80, P < 0.001), overall survival (OS) (HR = 9.02, P < 0.001), and locoregional recurrence-free survival (LRFS) (HR = 8.39, P = 0.003). The integrated risk score outperformed clinicopathological score in prognostic accuracy, as evidenced by the area under the curve (WCH validation cohort, iDFS: 0.805 vs. 0.756; OS: 0.874 vs. 0.807; LRFS: 0.957 vs. 0.870; TCGA cohort, iDFS: 0.683 vs. 0.598; OS: 0.685 vs. 0.617). Importantly, PMRT significantly improved OS in "high-risk" patients identified by the risk score, but not in "low-risk" patients in both WCH and TCGA cohorts. These findings suggest that the WSI-based risk score shows promise as a tool for prognostic assessment and guiding PMRT decision-making in TNBC patients.

摘要

用于支持三阴性乳腺癌(TNBC)患者乳房切除术后放疗(PMRT)决策的工具很少。本研究旨在开发一种基于全切片图像(WSI)的风险评分,以识别PMRT的受益患者。我们分析了2011年至2019年间在四川大学华西医院(WCH)接受治疗的608例TNBC患者以及来自癌症基因组图谱(TCGA)的182例患者。利用苏木精和伊红染色的WSI提取的特征以及临床病理特征,通过极端梯度提升算法计算出每位患者的图像评分和临床病理评分,并将其合并为一个综合风险评分。多变量Cox比例风险回归分析显示,较高的图像评分与较差的5年无侵袭性疾病生存期(iDFS)(HR = 8.80,P < 0.001)、总生存期(OS)(HR = 9.02,P < 0.001)和局部区域无复发生存期(LRFS)(HR = 8.39,P = 0.003)密切相关。综合风险评分在预后准确性方面优于临床病理评分,曲线下面积证明了这一点(WCH验证队列,iDFS:0.805对0.756;OS:0.874对0.807;LRFS:0.957对0.870;TCGA队列,iDFS:0.683对0.598;OS:0.685对0.617)。重要的是,PMRT显著改善了风险评分确定的“高危”患者的OS,但在WCH和TCGA队列的“低危”患者中并未改善。这些发现表明,基于WSI的风险评分有望作为TNBC患者预后评估和指导PMRT决策的工具。

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