Oncology Biomarker Research Group, Institute of Molecular Life Sciences, Hungarian Research Network, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary.
National Laboratory for Drug Research and Development, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary.
Int J Mol Sci. 2024 Jan 15;25(2):1063. doi: 10.3390/ijms25021063.
Approximately 30% of early-stage breast cancer (BC) patients experience recurrence after systemic chemotherapy; thus, understanding therapy resistance is crucial in developing more successful treatments. Here, we investigated the mechanisms underlying resistance to combined anthracycline-taxane treatment by comparing gene expression patterns with subsequent therapeutic responses. We established a cohort of 634 anthracycline-taxane-treated patients with pathological complete response (PCR) and a separate cohort of 187 patients with relapse-free survival (RFS) data, each having transcriptome-level expression data of 10,017 unique genes. Patients were categorized as responders and non-responders based on their PCR and RFS status, and the expression for each gene was compared between the two groups using a Mann-Whitney U-test. Statistical significance was set at < 0.05, with fold change (FC) > 1.44. Altogether, 224 overexpressed genes were identified in the tumor samples derived from the patients without PCR; among these, the gene sets associated with xenobiotic metabolism (e.g., , ) exhibited significant enrichment. The genes and differentiated non-responders from responders with the highest AUC values (AUC > 0.75, < 0.0001). We identified 51 upregulated genes in the tumor samples derived from the patients with relapse within 60 months, participating primarily in inflammation and innate immune responses (e.g., , , ). Furthermore, the amino acid transporter , distinguishing non-responders from responders, had significantly higher expression in tumors and metastases than in normal tissues (Kruskal-Wallis = 8.2 × 10). The identified biomarkers underscore the significance of tumor metabolism and microenvironment in treatment resistance and can serve as a foundation for preclinical validation studies.
约 30%的早期乳腺癌(BC)患者在接受全身化疗后会复发;因此,了解治疗耐药性对于开发更成功的治疗方法至关重要。在这里,我们通过比较基因表达模式与后续治疗反应,研究了联合蒽环类药物-紫杉烷治疗耐药的机制。我们建立了一个由 634 名接受过病理完全缓解(PCR)的蒽环类药物-紫杉烷治疗的患者和一个独立的 187 名无复发生存(RFS)数据的患者组成的队列,每个患者都有 10017 个独特基因的转录组水平表达数据。根据患者的 PCR 和 RFS 状态,将患者分为应答者和非应答者,并使用 Mann-Whitney U 检验比较两组之间每个基因的表达。统计学意义设定为 < 0.05,倍数变化(FC)> 1.44。总共在无 PCR 患者的肿瘤样本中鉴定出 224 个过度表达的基因;其中,与异生物质代谢相关的基因集(例如, , )表现出显著富集。基因 和 具有最高 AUC 值(AUC > 0.75, < 0.0001),可将非应答者与应答者区分开来。在 60 个月内复发的患者的肿瘤样本中鉴定出 51 个上调基因,主要参与炎症和先天免疫反应(例如, , , )。此外,区分非应答者和应答者的氨基酸转运蛋白 ,在肿瘤和转移灶中的表达明显高于正常组织(Kruskal-Wallis = 8.2 × 10)。鉴定出的生物标志物强调了肿瘤代谢和微环境在治疗耐药性中的重要性,并可为临床前验证研究提供基础。