Chen Yu-Chia, Chen Chia-Ching, Chen Rong-Fu, Chen Hsin-Hung, Chen Po-Ming
Division of General Surgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan.
Department of Emergency Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua 505, Taiwan.
Curr Issues Mol Biol. 2024 Nov 25;46(12):13499-13513. doi: 10.3390/cimb46120806.
(1): Triple-negative breast cancer (TNBC) is an especially aggressive form of breast cancer defined by a poor prognosis and a lack of effective treatment options. There is a pressing need for validated predictive and prognostic biomarkers to assist in making treatment decisions and improve the prognostic accuracy for patients with this challenging disease. (2): We analyzed the RNA-seq data from three TNBC tissue samples alongside their corresponding normal tissues. Gene set enrichment analysis (GSEA) identified potential pathways. Additionally, we examined SPP1 mRNA expression datasets available in the Kaplan-Meier plotter and investigated the SPP1 protein expression patterns in our own tissue microarray cohort via immunohistochemistry. (3): The results revealed that genes associated with the Toll-like receptor signaling pathway showed a significant increase in activity in TNBC tissues when compared to normal breast tissues. Furthermore, expression was found to be elevated in the TCGA TNBC dataset and correlated with a poor prognosis. This pattern was corroborated at the protein level in our TNBC tissue cohort; however, SPP1 protein expression did not demonstrate a significant impact on survival. Notably, mRNA expression was strongly linked to tumor-associated macrophages (TAMs), particularly the M2 macrophage subtype, indicating a substantial association in the context of TNBC. (4): Our research highlights the significance of mRNA as a key prognostic indicator and a potential molecular responder for TNBC treatment utilizing targeted therapies that focus on Toll-like receptor signaling pathways.
(1):三阴性乳腺癌(TNBC)是一种侵袭性特别强的乳腺癌,其特征是预后较差且缺乏有效的治疗选择。迫切需要经过验证的预测性和预后生物标志物,以协助做出治疗决策并提高患有这种具有挑战性疾病的患者的预后准确性。(2):我们分析了来自三个TNBC组织样本及其相应正常组织的RNA测序数据。基因集富集分析(GSEA)确定了潜在途径。此外,我们检查了Kaplan-Meier绘图仪中可用的SPP1 mRNA表达数据集,并通过免疫组织化学研究了我们自己组织微阵列队列中的SPP1蛋白表达模式。(3):结果显示,与正常乳腺组织相比,与Toll样受体信号通路相关的基因在TNBC组织中的活性显著增加。此外,在TCGA TNBC数据集中发现其表达升高且与预后不良相关。在我们的TNBC组织队列中,这种模式在蛋白质水平上得到了证实;然而,SPP1蛋白表达对生存率没有显著影响。值得注意的是,mRNA表达与肿瘤相关巨噬细胞(TAM)密切相关,尤其是M2巨噬细胞亚型,表明在TNBC背景下存在实质性关联。(4):我们的研究突出了mRNA作为关键预后指标以及利用针对Toll样受体信号通路的靶向疗法治疗TNBC的潜在分子反应指标的重要性。