预测早期(cT1-2N0)乳腺癌前哨淋巴结转移的新标志物:肿瘤浸润淋巴细胞(til)。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-03-19 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0320487
Xihao Ni, Weitao Wang, Huimin Sun, Ran An, Ying Lei, Chang-Liang Wang
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引用次数: 0

摘要

背景:肿瘤浸润淋巴细胞(til)与乳腺癌的淋巴结转移和预后有关。因此,我们探讨TILs在预测早期(cT1-2N0)乳腺癌前哨淋巴结转移(SLNM)中的价值,并为术前评估SLNM状态提供一种新的方法。方法:本研究纳入了2022年1月至2023年12月在我院行手术治疗的337例早期乳腺癌患者。采用免疫组化(IHC)方法检测患者雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2 (HER2)、Ki-67的表达。对核心针活检标本中的TILs进行组织病理学评估,并根据TILs密度将患者分为高TILs组和低TILs组。进行统计分析,建立预测模型。结果:研究发现,TILs高的患者发生SLNM的比例明显低于TILs低的患者(P)。结论:我们的研究表明,TILs密度和cT分期是早期(cT1-2N0)乳腺癌SLNM的独立预测因素,TILs密度对Luminal和三阴性乳腺癌SLNM的预测作用显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs).

A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs).

A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs).

A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs).

Background: Tumor-infiltrating lymphocytes (TILs) are associated with lymph node metastasis and prognosis in breast cancer. Therefore, we explored the value of TILs in predicting sentinel lymph node metastasis (SLNM) in patients with early-stage (cT1-2N0) breast cancer and provided a new method for preoperative assessment of SLNM status.

Methods: This study included 337 patients with early-stage breast cancer who underwent surgery at our hospital from January 2022 to December 2023. The expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67 in the patients was assessed using immunohistochemistry (IHC). TILs in the core needle biopsy samples were evaluated histopathologically, and patients were divided into high and low TILs groups based on the density of TILs. Statistical analysis was conducted, and a predictive model was established.

Results: The study found that patients with high TILs had a significantly lower rate of SLNM compared to those with low TILs (P < 0.001). The cT stage and the level of TILs were identified as independent predictive factors for SLNM. The ROC curve analysis indicated that the density of TILs has good predictive efficacy for SLNM. Based on the results of the multivariate regression analysis, a nomogram predictive model for SLNM was constructed.

Conclusions: Our study showed that the density of TILs and cT stage are independent predictive factors for SLNM in early-stage (cT1-2N0) breast cancer, and the predictive effect of TILs density on SLNM is significant in Luminal and triple-negative breast cancers.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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