Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Cell Biology, Peking University Cancer Hospital and Institute, Beijing, China.
Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Immunol. 2021 Feb 25;12:631483. doi: 10.3389/fimmu.2021.631483. eCollection 2021.
Treatment options for rare tumors are limited, and comprehensive genomic profiling may provide useful information for novel treatment strategies and improving outcomes. The aim of this study is to explore the treatment opportunities of patients with rare tumors using immune checkpoint inhibitors (ICIs) that have already been approved for routine treatment of common tumors. We collected immunotherapy-related indicators data from a total of 852 rare tumor patients from across China, including 136 programmed cell death ligand-1 (PD-L1) expression, 821 tumors mutational burden (TMB), 705 microsatellite instability (MSI) and 355 human leukocyte antigen class I (HLA-I) heterozygosity reports. We calculated the positive rates of these indicators and analyzed the consistency relationship between TMB and PD-L1, TMB and MSI, and HLA-I and PD-L1. The prevalence of PD-L1 positive, TMB-H, MSI-, and HLA-I -heterozygous was 47.8%, 15.5%, 7.4%, and 78.9%, respectively. The consistency ratio of TMB and PD-L1, TMB and MSI, and HLA-I and PD-L1 was 54.8% (78/135), 87.3% (598/685), and 47.4% (54/114), respectively. The prevalence of the four indicators varied widely across tumors systems and subtypes. The probability that neuroendocrine tumors (NETs) and biliary tumors may benefit from immunotherapy is high, since the proportion of TMB-H is as high as 50% and 25.4% respectively. The rates of PD-L1 positivity, TMB-H and MSI-H in carcinoma of unknown primary (CUP) were relatively high, while the rates of TMB-H and MSI-H in soft tissue tumors were both relatively low. Our study revealed the distribution of immunotherapeutic indicators in patients with rare tumors in China. Comprehensive genomic profiling may offer novel therapeutic modalities for patients with rare tumors to solve the dilemma of limited treatment options.
治疗罕见肿瘤的选择有限,而全面的基因组分析可能为新的治疗策略和改善预后提供有用信息。本研究旨在探讨已被常规用于治疗常见肿瘤的免疫检查点抑制剂(ICI)治疗罕见肿瘤患者的机会。我们从中国各地的 852 名罕见肿瘤患者中收集了免疫治疗相关指标数据,包括 136 名程序性细胞死亡配体 1(PD-L1)表达、821 名肿瘤突变负荷(TMB)、705 名微卫星不稳定性(MSI)和 355 名人类白细胞抗原 I 类(HLA-I)杂合性报告。我们计算了这些指标的阳性率,并分析了 TMB 与 PD-L1、TMB 与 MSI 和 HLA-I 与 PD-L1 之间的一致性关系。PD-L1 阳性、TMB-H、MSI-和 HLA-I 杂合的患病率分别为 47.8%、15.5%、7.4%和 78.9%。TMB 与 PD-L1、TMB 与 MSI 和 HLA-I 与 PD-L1 的一致性比率分别为 54.8%(78/135)、87.3%(598/685)和 47.4%(54/114)。这四个指标在肿瘤系统和亚型之间的差异很大。神经内分泌肿瘤(NETs)和胆管肿瘤可能从免疫治疗中受益的概率较高,因为 TMB-H 的比例分别高达 50%和 25.4%。癌原发灶不明(CUP)的 PD-L1 阳性率、TMB-H 和 MSI-H 相对较高,而软组织肿瘤的 TMB-H 和 MSI-H 相对较低。我们的研究揭示了中国罕见肿瘤患者免疫治疗指标的分布情况。全面的基因组分析可能为罕见肿瘤患者提供新的治疗模式,以解决治疗选择有限的困境。