Deciphering transcriptomic determinants of the divergent link between PD-L1 and immunotherapy efficacy.

Deciphering transcriptomic determinants of the divergent link between PD-L1 and immunotherapy efficacy.
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DOI:
10.1038/s41698-023-00443-3
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发表时间:
2023-09-11
影响因子:
7.9
通讯作者:
--
中科院分区:
医学1区
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--
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程序性细胞死亡配体1(PD-L1)表达仍然是预测免疫检查点抑制剂(ICI)反应的最广泛使用的生物标志物,但其预测性差异很大。迫切需要确定导致PD-L1性能变化的因素。在这里,使用来自三项包含1239名患者的独立试验的数据,我们根据肿瘤转录组确定了具有不同PD-L1预测性的癌症子集。在高预测性(PH)组中,在三项试验中,PD-L1+肿瘤比PD-L1-肿瘤显示出更好的总生存期、无进展生存期和ICI的客观缓解率。然而,低预测性(PL)组显示出相反的趋势,PD-L1肿瘤的结局更好。PH组的PD-L1+肿瘤显示ICI优于化疗,而PL组的PD-L1+肿瘤显示两种治疗之间的疗效相当,或显示有利于化疗的相反趋势。无论免疫亚型(免疫增强型或非免疫型)、PD-L1调节机制(适应性或组成性)、肿瘤突变负荷或新抗原负荷如何,这种背景依赖性预测性的观察结果仍然很强。这项工作阐明了在临床决策和试验设计中优化PD-L1表达的途径,尽管这一探索性概念应在大型试验中进一步证实。
Programmed cell death ligand 1 (PD-L1) expression remains the most widely used biomarker for predicting response to immune checkpoint inhibitors (ICI), but its predictiveness varies considerably. Identification of factors accounting for the varying PD-L1 performance is urgently needed. Here, using data from three independent trials comprising 1239 patients, we have identified subsets of cancer with distinct PD-L1 predictiveness based on tumor transcriptome. In the Predictiveness-High (PH) group, PD-L1+ tumors show better overall survival, progression-free survival, and objective response rate with ICI than PD-L1- tumors across three trials. However, the Predictiveness-Low (PL) group demonstrates an opposite trend towards better outcomes for PD-L1- tumors. PD-L1+ tumors from the PH group demonstrate the superiority of ICI over chemotherapy, whereas PD-L1+ tumors from the PL group show comparable efficacy between two treatments or exhibit an opposite trend favoring chemotherapy. This observation of context-dependent predictiveness remains strong regardless of immune subtype (Immune-Enriched or Non-Immune), PD-L1 regulation mechanism (adaptative or constitutive), tumor mutation burden, or neoantigen load. This work illuminates avenues for optimizing the use of PD-L1 expression in clinical decision-making and trial design, although this exploratory concept should be further confirmed in large trials.
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