PO.CL05.05 · 临床研究
三阴性乳腺癌中铂类药物诱导的化疗免疫调节的鉴定与表征
Identification and characterization of platinum agent-induced chemoimmunomodulation in triple-negative breast cancer
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
三阴性乳腺癌(TNBC)是最具侵袭性的乳腺癌亚型。尽管早期结局有所改善,晚期TNBC(aTNBC)的预后仍然很差,中位总生存期<18个月,且从一线治疗中获益具有异质性。虽然aTNBC治疗已有进展,化疗仍是根治性治疗方案的核心。化疗疗效最关键的维度之一是化疗所引发的免疫调节效应(化疗免疫调节;CIM)。铂类药物常用于aTNBC,通过ROS生成、免疫原性细胞死亡、DAMP释放以及cGAS-STING/干扰素信号诱导CIM。然而,铂类诱导的CIM具有异质性且依赖于细胞类型,从而限制了优化其应用的努力。本研究的目标是鉴定并表征铂类药物诱导的CIM以应对这一挑战。为此,我们将我们的化疗免疫调节诱导分类器(CIMIC)流程应用于从人TNBC细胞系(N = 8;各3个生物学重复)经批量RNA测序在48小时IC30顺铂暴露前后所获得的差值基因表达值(ΔGE;Δlog2(TPM+1))。CIMIC是一个迭代式无监督聚类流程,根据样本对涵盖19条CIM通路的3,100个基因的诱导情况将其分类为不同组别。出现了两种不同的CIM状态:功能性(Fun-CIM)状态和功能失调性(Dys-CIM)状态。Fun-CIM状态表现出抗肿瘤炎症标志物(TNFAIP8L1和TNSF12)和活性氧增强因子(ABL1)的诱导显著升高(Fun-CIM vs Dys-CIM,所有倍数变化(FC)> 1.50;p < 0.05;FDR < 0.10),而Dys-CIM状态则表现出DNA损伤修复分子(XRCC4和XPA)、未折叠蛋白反应基因(SEC61G)以及蛋白质稳态介导因子(RPS3A和RPS)的诱导升高(Dys-CIM vs Fun-CIM,所有倍数变化(FC)> 1.12;p < 0.05;FDR < 0.10)。过表征分析显示,Fun-CIM组内诱导的基因富集于细胞因子产生、活性氧应答和吞噬增强,而Dys-CIM组内则富集于蛋白质稳态程序(p < 0.05,FDR < 0.15),印证了我们的发现。综上,这些数据表明CIMIC有望从配对的处理前/后转录组中,将铂化药物诱导的免疫调节解析为功能性和功能失调性诱导状态。我们的结果凸显了在相同效力下铂化药物应答中CIM的异质性,并突出肿瘤内在的应激适应可能是CIM轨迹的一个关键决定因素。据我们所知,CIMIC是首个用于分类CIM轨迹的无监督流程。未来的工作将针对铂类药物定义CIM轨迹的基线预测因子。
查看英文原文 English abstract
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Although early-stage outcomes have improved, advanced TNBC (aTNBC) continues to have poor outcomes, with a median overall survival < 18 months and heterogeneous benefit from first-line therapy. Although there have been advances in aTNBC therapy, chemotherapy remains central to curative regimens. Among the most critical dimensions of chemotherapeutic efficacy are immunomodulatory effects elicited by chemotherapy (chemoimmunomodulation; (CIM)). Platinum agents are commonly used in aTNBC and induce CIM through ROS generation, immunogenic cell death, DAMP release, and cGAS-STING/interferon signaling. However, platinum-induced CIM induction is heterogeneous and cell type-dependent, thereby limiting its efforts to optimize its use. The goal of this study was to identify and characterize platinum agent-induced CIM to address this challenge. To achieve this, we applied our Chemoimmunomodulation Induction Classifier (CIMIC) pipeline to delta gene expression values (ΔGE; Δlog 2 (TPM+1)) derived from human TNBC cell lines (N = 8; 3 biological replicates each) profiled via bulk RNA-sequencing pre- and post-48-hour IC 30 cisplatin exposure. CIMIC is an iterative unsupervised clustering pipeline that classifies samples into distinct groups based on their induction of 3,100 genes spanning 19 CIM pathways. Two distinct CIM states emerged: a functional (Fun-CIM) and a dysfunctional (Dys-CIM) state. The Fun-CIM state exhibited significantly elevated induction of antitumoral inflammatory markers ( TNFAIP8L1 and TNSF12 ) and reactive oxygen species potentiators (ABL1 ) (Fun-CIM vs Dys-CIM all fold change (FC) > 1.50; p < 0.05; FDR < 0.10), whereas the Dys-CIM state exhibited elevated induction of DNA-damage repair molecules ( XRCC4 and XPA ), unfolded protein response genes ( SEC61G ) , and proteostasis mediators ( RPS3A and RPS ) (Dys-CIM vs Fun-CIM all fold change (FC) > 1.12 ; p < 0.05; FDR < 0.10) Overrepresentation analysis revealed an enrichment for cytokine production, reactive oxygen species response, and phagocytic potentiation for the genes induced within the Fun-CIM group, and proteostasis programs within the Dys-CIM group (p < 0.05 FDR < 0.15) corroborating our findings. Together, these data show that CIMIC hold promise in resolving platinating agent-induced immunomodulation into functional and dysfunctional induction states from paired pre-/post- transcriptomes. Our results highlight CIM heterogeneity in response to platinating agent administered at the same potency and highlight tumor‑intrinsic stress‑adaptation as a potential key determinant of CIM trajectory. To our knowledge, CIMIC is the first unsupervised pipeline built to classify CIM trajectories. Future work will define baseline predictors of CIM trajectories with respect to platinum agents.
利益披露 Disclosure
M. Makarem, None..
K. Streeks, None..
C. Perez Perez, None..
M. Gbadamosi, None.