Andersen Maja Dam, Enemark Marie Hairing, Lauridsen Kristina Lystlund, Hamilton-Dutoit Stephen Jacques, Starklint Jørn, d'Amore Francesco, Ludvigsen Maja, Kamper Peter
Department of Hematology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, DK-8200, Denmark.
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Sci Rep. 2025 Aug 18;15(1):30273. doi: 10.1038/s41598-025-16218-8.
Despite advances in reducing treatment-related toxicities, predictive biomarkers for bleomycin-induced pulmonary toxicity (BPT) remain undefined. Affecting around 10% of classic Hodgkin lymphoma (CHL) and associated with a mortality rate of 10-20%, BPT poses a clinical challenge. This study aimed to characterize the pre-therapeutic nodal tumor microenvironment in CHL patients with and without BPT development. Gene expression profiling (GEP) was performed on diagnostic lymph node biopsies from CHL patients who developed BPT (T-CHL, n = 23) during treatment and those who did not (nT-CHL, n = 47). Differential protein expression of MIF, pSTAT3, LILRB3, and CD206 was further assessed with immunohistochemistry (IHC) in an evaluation cohort (n = 285). GEP revealed T-CHL samples enriched in genes associated with immune regulation and inflammation (STAT3, LILRB3, MIF), fibrosis and tissue remodeling (CD206), and immune signaling and regulation of apoptosis (JAK3) compared with nT-CHL. IHC confirmed higher pSTAT3 (p = 0.001) and CD206 (p = 0.029) expression in T-CHL and lower MIF and LILRB3 expression (both p < 0.001) compared with nT-CHL. These findings suggest that immune and fibrotic signatures in diagnostic biopsies may predict BPT risk. Early identification of high-risk patients could enable personalized treatment approaches that reduce toxicity while maintaining efficacy, positioning tumor microenvironment profiling as a promising strategy for optimizing CHL care.
尽管在降低治疗相关毒性方面取得了进展,但博来霉素诱导的肺毒性(BPT)的预测生物标志物仍未明确。BPT影响约10%的经典霍奇金淋巴瘤(CHL)患者,死亡率为10%-20%,构成了一项临床挑战。本研究旨在对发生和未发生BPT的CHL患者治疗前的淋巴结肿瘤微环境进行特征描述。对治疗期间发生BPT的CHL患者(T-CHL,n = 23)和未发生BPT的CHL患者(nT-CHL,n = 47)的诊断性淋巴结活检组织进行基因表达谱分析(GEP)。在一个评估队列(n = 285)中,通过免疫组织化学(IHC)进一步评估MIF、pSTAT3、LILRB3和CD206的差异蛋白表达。GEP显示,与nT-CHL相比,T-CHL样本中富含与免疫调节和炎症(STAT3、LILRB3、MIF)、纤维化和组织重塑(CD206)以及免疫信号传导和细胞凋亡调节(JAK3)相关的基因。IHC证实,与nT-CHL相比,T-CHL中pSTAT3(p = 0.001)和CD206(p = 0.029)表达较高,而MIF和LILRB3表达较低(均p < 0.001)。这些发现表明,诊断活检中的免疫和纤维化特征可能预测BPT风险。早期识别高危患者可以采用个性化治疗方法,在保持疗效的同时降低毒性,将肿瘤微环境分析定位为优化CHL治疗的一种有前景的策略。
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