Dong Wenge, Gu Xiaojie, Li Jiejing, Zhuang Zhigang
Department of Breast Surgery, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Transl Cancer Res. 2025 Feb 28;14(2):907-929. doi: 10.21037/tcr-24-1632. Epub 2025 Feb 26.
Recently, interleukin 17 (IL-17) has been found to play a critical role in the development of breast cancer. However, its prognostic significance in invasive breast cancer (IBC) remains unclear. This study aims to determine the role of IL-17-related signatures in IBC to identify novel therapeutic options.
IBC data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) were used to identify IL-17-related prognostic genes. A predictive model was developed using TCGA data and validated using METABRIC data. The relationship between IL-17 scores and immune landscape, chemotherapy drug sensitivity [half maximal inhibitory concentration (IC50)], and immune checkpoint gene expression was analyzed. The quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to validate key gene expression in breast tumor and normal tissue samples.
The predictive model identified core IL-17-related prognostic genes and successfully estimated the prognosis of IBC patients. The model's validity was confirmed using METABRIC data. Patients with high IL-17 scores had worse overall survival (OS) compared to those with low IL-17 scores. Low IL-17 scores were associated with higher immune checkpoint gene expression and predicted enhanced responses to cytotoxic T-lymphocyte-associated protein 4 (CTLA4) and programmed cell death protein 1 (PD-1) therapies. Patients with low IL-17 scores exhibited a higher abundance of immune microenvironment components. Furthermore, qRT-PCR confirmed the lower expression of , and in breast tumors compared to normal tissue.
IL-17-related signatures are promising biomarkers for predicting the prognosis of IBC patients. These findings suggest that IL-17-related markers could be used to guide individualized therapeutic strategies, potentially improving outcomes for IBC patients.
最近,白细胞介素17(IL-17)被发现在乳腺癌的发展中起关键作用。然而,其在浸润性乳腺癌(IBC)中的预后意义仍不清楚。本研究旨在确定IL-17相关特征在IBC中的作用,以识别新的治疗选择。
使用来自癌症基因组图谱(TCGA)、基因表达综合数据库(GEO)和国际乳腺癌分子分类联盟(METABRIC)的IBC数据来识别IL-17相关的预后基因。利用TCGA数据建立预测模型,并使用METABRIC数据进行验证。分析了IL-17评分与免疫景观、化疗药物敏感性[半数最大抑制浓度(IC50)]和免疫检查点基因表达之间的关系。进行定量逆转录聚合酶链反应(qRT-PCR)以验证乳腺肿瘤和正常组织样本中的关键基因表达。
预测模型识别出了核心的IL-17相关预后基因,并成功地估计了IBC患者的预后。使用METABRIC数据证实了该模型的有效性。与低IL-17评分的患者相比,高IL-17评分的患者总生存期(OS)更差。低IL-17评分与更高的免疫检查点基因表达相关,并预测对细胞毒性T淋巴细胞相关蛋白4(CTLA4)和程序性细胞死亡蛋白1(PD-1)治疗的反应增强。低IL-17评分的患者表现出更高丰度的免疫微环境成分。此外,qRT-PCR证实与正常组织相比,乳腺肿瘤中 、 和 的表达较低。
IL-17相关特征是预测IBC患者预后的有前景的生物标志物。这些发现表明,IL-17相关标志物可用于指导个体化治疗策略,可能改善IBC患者的预后。