MHC II类基因型是黑色素瘤抗PD1免疫疗法反应的独立预测因子。

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Communications medicine Pub Date : 2024-09-30 DOI:10.1038/s43856-024-00612-w
Arne Claeys, Jimmy Van den Eynden
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摘要

背景:免疫检查点阻断是一种非常成功的抗癌免疫疗法:免疫检查点阻断是一种非常成功的抗癌免疫疗法。CTLA4和PD1检查点阻断剂均可用于黑色素瘤的临床治疗,其中抗PD1疗法的反应率高达35-40%。这些反应是通过多态 MHC 复合物的新抗原呈递介导的,很难预测,而肿瘤突变负荷是目前为数不多的可用生物标记物之一。虽然MHC基因型有望决定治疗反应,但关联研究在很大程度上仍然难以捉摸:我们开发了一种总体 MHC 基因型结合得分(MGBS),它表明了患者的 MHC I 类(MHC-I)和 II 类(MHC-II)新抗原结合能力,并且完全基于种系 MHC-I 基因型(MGBS-I)和 MHC-II 基因型(MGBS-II)。然后,在先前发表的 144 位黑色素瘤患者的数据集中,将这些评分与抗 PD1 免疫疗法后的存活率和临床反应相关联:结果:我们证明,MGBS 评分是黑色素瘤患者抗 PD1 免疫疗法反应的预测因子,与 TMB 无关。两个 MHC 类别的结果截然相反,高 MGBS-I 和 MGBS-II 分别预示着好的和坏的结果。有趣的是,高MGBS-II主要与抗CTLA4预处理亚组患者的治疗反应失败有关:我们的研究结果表明,仅从 MHC 基因型计算出的 MGBS 具有临床潜力,可作为一种非侵入性和肿瘤无关的生物标记物,指导黑色素瘤的抗癌免疫疗法。
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MHC class II genotypes are independent predictors of anti-PD1 immunotherapy response in melanoma
Immune checkpoint blockade is a highly successful anti-cancer immunotherapy. Both CTLA4 and PD1 checkpoint blockers are clinically available for melanoma treatment, with anti-PD1 therapy reaching response rates of 35-40%. These responses, which are mediated via neoantigen presentation by the polymorphic MHC complex, are hard to predict and the tumor mutation burden is currently one of the few available biomarkers. While MHC genotypes are expected to determine therapy responses, association studies have remained largely elusive. We developed an overall MHC genotype binding score (MGBS), indicative of a patient’s MHC class I (MHC-I) and class II (MHC-II) neoantigen binding capacity and solely based on the germline MHC-I (MGBS-I) and MHC-II (MGBS-II) genotypes. These scores were then correlated to survival and clinical responses following anti-PD1 immunotherapy in a previously published dataset of 144 melanoma patients. We demonstrate that MGBS scores are TMB-independent predictors of anti-PD1 immunotherapy responses in melanoma. Opposite outcomes were found for both MHC classes, with high MGBS-I and MGBS-II predicting good and bad outcomes, respectively. Interestingly, high MGBS-II is mainly associated with treatment response failure in a subgroup of anti-CTLA4 pretreated patients. Our results suggest that MGBS, calculated solely from the MHC genotype, has clinical potential as a non-invasive and tumor-independent biomarker to guide anti-cancer immunotherapy in melanoma. Many cancer patients are successfully treated with immunotherapy, which boosts the immune system to eliminate cancer cells. While this therapy is successful in around half of skin cancer melanoma patients, it is currently hard to determine in advance which patients respond well. Immune cells react to tumor proteins that are presented at the cancer cell surface by molecules called MHC. These are unique for every patient. We aimed to determine whether the ability of MHC to bind to tumor proteins determines how well therapy works and developed a new way to quantify this interaction. Surprisingly, less ability for tumor proteins to bind to the unconventional class II MHC resulted in better clinical outcome in patients with melanoma. Our results provide new understanding of tumor-immune interaction and the new method may help determine which patients with melanoma will respond to therapy. Claeys and Van den Eynden demonstrate that the genotype-specific binding properties of the Major Histocompatibility Complex (MHC) can predict outcome in melanoma patients treated with immunotherapy. Their results suggest an immunomodulatory role of non-canonical MHC-II presentable neoantigens.
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