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在免疫治疗时代,探索肛管鳞状细胞癌免疫细胞预测生物标志物和可操作基因改变中的程序性死亡受体配体1(PD-L1)

Uncovering PD-L1 among immune cell predictive biomarkers and actionable genetic alterations in anal squamous-cell carcinomas in the era of immunotherapy.

作者信息

Sharma G, Baca Y, Shields A F, Prakash A, Weinberg B A, Saeed A, Goel S, Abdalla A, Oberley M, Xiu J, Hwang J, Antonarakis E S, Chiu V K, Lou E

机构信息

Division of Hematology and Medical Oncology, Mitchell Cancer Institute, University of South Alabama, Mobile, USA.

CARIS Life Sciences, Phoenix, USA.

出版信息

ESMO Open. 2025 Jun;10(6):105315. doi: 10.1016/j.esmoop.2025.105315. Epub 2025 Jun 10.

DOI:10.1016/j.esmoop.2025.105315
PMID:40499464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12182785/
Abstract

BACKGROUND

Anal squamous-cell carcinoma (ASCC) is a rare cancer. Immune checkpoint inhibitors (ICIs) are used as a second-line treatment. We aimed to analyze the genomic and transcriptomic profiles of ASCC to predict ICI efficacy.

MATERIALS AND METHODS

Next-generation sequencing (NGS) of DNA and RNA was carried out. Programmed death- ligand 1 (PD-L1) expression was tested by immunohistochemistry (IHC) as high (≥2+ and ≥5%), low (1-2+ and ≥1%), and negative (<1). Deficient mismatch repair/microsatellite instability-high (dMMR/MSI-H) was tested using IHC/NGS, and tumor mutation burden-high (TMB-H) was defined as ≥10 mutations/Mb. quanTIseq was used to quantify tumor microenvironment. The chi-square test / Fisher's exact test was used, and significance was determined as P value adjusted for multiple comparisons (q < 0.05). Real-world overall survival and time on treatment (TOT) were obtained from insurance claims.

RESULTS

Out of 1242 tumor samples, 64.25% expressed PD-L1, with 41.7% exhibiting high expression. TMB-H and dMMR/MSI-H prevalence rates were 11.43% and 1.04%, respectively. TMB-H tended to be higher in PD-L1-low versus PD-L1-negative patients (P = 0.03). Mutations in PIK3CA and CASP8 were significantly higher in PD-L1-high versus -negative. PD-L1-high tumor microenvironment showed higher infiltration of Tregs, M1 macrophages, neutrophils, CD8 cells, and cancer-associated fibroblasts compared with PD-L1-low (q < 0.05). The expression of immuno-oncology (IO) markers, including IDO1, PDCD1, IFNG, CD274, HVACR2, CTLA4, LAG3, CD80, CD86, and PDCD1LG2, as well as T-cell inflammation and interferon-gamma scores, exhibited a concurrent decline in association with PD-L1 expression. The PD-L1-high group treated with ICIs had significantly longer TOT than the PD-L1-negative group (hazard ratio 0.758, 95% confidence interval 0.579-0.992, P = 0.044).

CONCLUSION

PD-L1-expressing ASCCs exhibit higher rates of PIK3CA and CASP8 mutations, increased IO markers, and higher inflammation. These tumors had longer treatment durations when treated with ICIs, suggesting that PD-L1 expression predicts treatment response.

摘要

背景

肛管鳞状细胞癌(ASCC)是一种罕见的癌症。免疫检查点抑制剂(ICI)用作二线治疗。我们旨在分析ASCC的基因组和转录组图谱,以预测ICI疗效。

材料与方法

对DNA和RNA进行下一代测序(NGS)。通过免疫组织化学(IHC)检测程序性死亡配体1(PD-L1)表达,分为高表达(≥2+且≥5%)、低表达(1-2+且≥1%)和阴性(<1%)。使用IHC/NGS检测错配修复缺陷/微卫星高度不稳定(dMMR/MSI-H),肿瘤突变负荷高(TMB-H)定义为≥10个突变/Mb。使用quanTIseq对肿瘤微环境进行定量。采用卡方检验/费舍尔精确检验,显著性以经多重比较调整后的P值确定(q<0.05)。从保险理赔中获取真实世界的总生存期和治疗时间(TOT)。

结果

在1242个肿瘤样本中,64.25%表达PD-L1,其中41.7%为高表达。TMB-H和dMMR/MSI-H的患病率分别为11.43%和1.04%。与PD-L1阴性患者相比,PD-L1低表达患者的TMB-H往往更高(P=0.03)。与PD-L1阴性相比,PIK3CA和CASP8突变在PD-L1高表达中显著更高。与PD-L1低表达相比,PD-L1高表达的肿瘤微环境显示调节性T细胞、M1巨噬细胞、中性粒细胞、CD8细胞和癌症相关成纤维细胞的浸润更高(q<0.05)。免疫肿瘤学(IO)标志物,包括吲哚胺2,3-双加氧酶1(IDO1)、程序性死亡受体1(PDCD1)、干扰素γ(IFNG)、CD274、HVACR2、细胞毒性T淋巴细胞相关蛋白4(CTLA4)、淋巴细胞激活基因3(LAG3)、CD80、CD86和程序性死亡配体1B(PDCD1LG2)的表达,以及T细胞炎症和干扰素γ评分,与PD-L1表达呈同步下降。接受ICI治疗的PD-L1高表达组的TOT显著长于PD-L1阴性组(风险比0.758,95%置信区间0.579-0.992,P=0.044)。

结论

表达PD-L1的ASCC显示出更高的PIK3CA和CASP8突变率、增加的IO标志物和更高的炎症。这些肿瘤接受ICI治疗时的治疗持续时间更长,表明PD-L1表达可预测治疗反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/ac9a1de99041/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/fee0edaa8290/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/bb43b169a553/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/a050ffca6612/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/ac9a1de99041/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/fee0edaa8290/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/bb43b169a553/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/a050ffca6612/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/12182785/ac9a1de99041/gr4.jpg

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