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TIL(肿瘤浸润淋巴细胞)联合肿瘤-间质比对乳腺癌患者腋窝淋巴结转移的预测价值——一项回顾性队列研究

英文原题:Predictive value of tumor-infiltrating lymphocytes combined with tumor-stromal ratio for axillarylymph node metastasis in breast cancer patients - a retrospective cohort study.

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Predictive value of tumor-infiltrating lymphocytes combined with tumor-stromal ratio for axillarylymph node metastasis in breast cancer patients - a retrospective cohort study.

PubMed 2025/11/27(内容时间) World J Surg Oncol Q1 · IF 2.8(JCR 2025)

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研究概要

TIL 与 TSR 的联合对 BC 患者的 ALNM 显示出显著的预测价值,值得考虑纳入未来的转移预测模型。

研究思路结论见上方概要

探讨TIL(肿瘤浸润淋巴细胞)联合肿瘤-间质比(TSR)对乳腺癌(BC)患者腋窝淋巴结转移(ALNM)的预测价值。

回顾性研究纳入2020年1月至2024年12月我院收治的324例BC患者。根据是否存在ALNM将患者分为ALNM组(n = 129)和非ALNM组(n = 195)。采用单因素和二元Logistics回归分析识别影响因素,并通过受试者工作特征(ROC)曲线分析评估TIL联合TSR对BC患者ALNM的预测价值。

两组间HER-2状态、组织学分级、TSR和TIL差异有统计学意义(P < 0.05)。二元Logistics回归分析表明,HER-2、TSR、TIL和组织学分级是BC患者ALNM的影响因素(P < 0.05)。ROC分析显示,TSR + TIL的预测价值最高,曲线下面积(AUC)为0.720,标准误(95% CI:0.663 0.777),约登指数为0.38,灵敏度为79.84%,特异度为58.46%。联合预测模型公式为:Logit(P)=-1.693+(0.574HER-2)+(0.548Historical Grade)+(0.660TSR)+(0.608TIL)。将该模型应用于外部验证集,得到的校准曲线接近理想线,表明预测风险与实际风险之间具有良好的一致性。验证集的ROC分析显示AUC为0.892(95% CI:0.858 0.927),标准误为0.018,约登指数为0.59。此时灵敏度为65.9%,特异度为93.3%。不同TSR + TIL状态的患者在组织学分级和ALNM发生方面比较,差异有统计学意义(P < 0.05)。与其他组相比,高TSR和高TIL患者的ALNM转移率显著较低。

展开英文摘要原文

To investigate the predictive value of tumor-infiltrating lymphocytes (TIL) combined with tumor-stromal ratio (TSR) for axillary lymph node metastasis (ALNM) in breast cancer (BC) patients.

A retrospective study was conducted, including 324 BC patients admitted to our hospital between January 2020 and December 2024. Patients were categorized into the ALNM (n = 129) and non-ALNM (n = 195) groups based on the presence of ALNM. Univariate and binary Logistics regression analyses were used to identify influencing factors, and the predictive value of TIL combined with TSR for ALNM in BC patients was evaluated with receiver operating characteristic (ROC) curve analysis.

Significant differences (P < 0.05) in HER-2 status, histological grade, TSR, and TIL were observed between the two groups. Binary Logistics regression analysis indicated that HER-2, TSR, TIL, and histological grade were influencing factors for ALNM in BC patients (P < 0.05). ROC analysis revealed that the predictive value of TSR + TIL was the highest, with an area under the curve (AUC) of 0.720, standard error (95% CI: 0.663 0.777), a Youden s index of 0.38, a sensitivity of 79.84%, and a specificity of 58.46%. The combined prediction model was formulated as: Logit(P)=-1.693+(0.574HER-2)+(0.548Historical Grade)+(0.660TSR)+(0.608TIL). Application of the model to the external validation set yielded calibration curves approximating the ideal line, indicating excellent agreement between predicted and actual risks. ROC analysis of the validation set demonstrated an AUC of 0.892 (95% CI: 0.858 0.927), with a standard error of 0.018 and a Youden s index of 0.59. At this time, the sensitivity was 65.9%, and the specificity was 93.3%. There were statistically significant differences (P < 0.05) in the comparison of histological grade and occurrence of ALNM among patients with different TSR + TIL statuses. Patients with high TSR and high TIL showed a significantly lower rate of ALNM metastasis in comparison to other groups.

The combination of TIL and TSR demonstrates significant predictive value for ALNM in BC patients and warrants consideration for inclusion in future metastasis prediction models.

论文信息

作者
Han H、Yin S、He X、Zhou F、He M
第一作者单位
Department of Pathology, Changhai Hospital, Naval Medical University, Shanghai, China.China
通讯作者单位
Department of Pathology, Changhai Hospital, Naval Medical University, Shanghai, China. hmm_26@163.com.China
期刊
World journal of surgical oncology2025 Nov 27
原文标识
PubMed 41299669 · DOI 10.1186/s12957-025-04128-y