Miyashita Hirotaka, Bevins Nicholas J, Thangathurai Kartheeswaran, Lee Suzanna, Pabla Sarabjot, Nesline Mary K, Glenn Sean T, Conroy Jeffrey M, DePietro Paul, Rubin Eitan, Sicklick Jason K, Kato Shumei, Kurzrock Razelle
Department of Hematology and Oncology, Dartmouth Hitchcock Medical Center Lebanon, NH, USA.
Department of Pathology, University of California San Diego La Jolla, CA, USA.
Am J Cancer Res. 2024 May 15;14(5):2240-2252. doi: 10.62347/JRJP7877. eCollection 2024.
Transcriptomic expression profiles of immune checkpoint markers are of interest in order to decipher the mechanisms of immunotherapy response and resistance. Overall, 514 patients with various solid tumors were retrospectively analyzed in this study. The RNA expression levels of tumor checkpoint markers (ADORA2A, BTLA, CD276, CTLA4, IDO1, IDO2, LAG3, NOS2, PD-1, PD-L1, PD-L2, PVR, TIGIT, TIM3, VISTA, and VTCN) were ranked from 0-100 percentile based on a reference population. The expression of each checkpoint was correlated with cancer type, microsatellite instability (MSI), tumor mutational burden (TMB), and programmed death-ligand 1 (PD-L1) by immunohistochemistry (IHC). The cohort included 30 different tumor types, with colorectal cancer being the most common (27%). When RNA percentile rank values were categorized as "Low" (0-24), "Intermediate" (25-74), and "High" (75-100), each patient had a distinctive portfolio of the categorical expression of 16 checkpoint markers. Association between some checkpoint markers and cancer types were observed; NOS2 showed significantly higher expression in colorectal and stomach cancer (P < 0.001). Principal component analysis demonstrated no clear association between combined RNA expression patterns of 16 checkpoint markers and cancer types, TMB, MSI or PD-L1 IHC. Immune checkpoint RNA expression varies from patient to patient, both within and between tumor types, though colorectal and stomach cancer showed the highest levels of NOS2, a mediator of inflammation and immunosuppression. There were no specific combined expression patterns correlated with MSI, TMB or PD-L1 IHC. Next generation immunotherapy trials may benefit from individual analysis of patient tumors as selection criteria for specific immunomodulatory approaches.
为了解免疫治疗反应和耐药机制,免疫检查点标志物的转录组表达谱备受关注。本研究对514例患有各种实体瘤的患者进行了回顾性分析。根据参考人群,将肿瘤检查点标志物(ADORA2A、BTLA、CD276、CTLA4、IDO1、IDO2、LAG3、NOS2、PD-1、PD-L1、PD-L2、PVR、TIGIT、TIM3、VISTA和VTCN)的RNA表达水平按0 - 100百分位数进行排名。通过免疫组织化学(IHC)将每个检查点的表达与癌症类型、微卫星不稳定性(MSI)、肿瘤突变负荷(TMB)和程序性死亡配体1(PD-L1)相关联。该队列包括30种不同的肿瘤类型,其中结直肠癌最为常见(27%)。当RNA百分位数排名值分为“低”(0 - 24)、“中”(25 - 74)和“高”(75 - 100)时,每位患者都有16种检查点标志物的独特分类表达组合。观察到一些检查点标志物与癌症类型之间存在关联;NOS2在结直肠癌和胃癌中的表达显著更高(P < 0.001)。主成分分析表明,16种检查点标志物的联合RNA表达模式与癌症类型、TMB、MSI或PD-L1 IHC之间没有明显关联。免疫检查点RNA表达在患者之间存在差异,无论是在肿瘤类型内部还是之间,尽管结直肠癌和胃癌中NOS2(炎症和免疫抑制的介质)水平最高。没有与MSI、TMB或PD-L1 IHC相关的特定联合表达模式。下一代免疫治疗试验可能会受益于对患者肿瘤的个体分析,将其作为特定免疫调节方法的选择标准。