Digital Spatial Profiling identifies distinct patterns of immuno-oncology-related gene expression within oropharyngeal tumours in relation to HPV and p16 status

IF 3.5 3区 医学 Q2 ONCOLOGY
Jill M. Brooks, Yuanning Zheng, Kelly Hunter, Benjamin E. Willcox, Janet Dunn, Paul Nankivell, Olivier Gevaert, Hisham Mehanna
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Abstract

BackgroundThe incidence of oropharyngeal cancer (OPC) is increasing, due mainly to a rise in Human Papilloma Virus (HPV)-mediated disease. HPV-mediated OPC has significantly better prognosis compared with HPV-negative OPC, stimulating interest in treatment de-intensification approaches to reduce long-term sequelae. Routine clinical testing frequently utilises immunohistochemistry to detect upregulation of p16 as a surrogate marker of HPV-mediation. However, this does not detect discordant p16-/HPV+ cases and incorrectly assigns p16+/HPV- cases, which, given their inferior prognosis compared to p16+/HPV+, may have important clinical implications. The biology underlying poorer prognosis of p16/HPV discordant OPC requires exploration.MethodsGeoMx digital spatial profiling was used to compare the expression patterns of selected immuno-oncology-related genes/gene families (n=73) within the tumour and stromal compartments of formalin-fixed, paraffin-embedded OPC tumour tissues (n=12) representing the three subgroups, p16+/HPV+, p16+/HPV- and p16-/HPV-.ResultsKeratin (multi KRT) and HIF1A, a key regulator of hypoxia adaptation, were upregulated in both p16+/HPV- and p16-/HPV- tumours relative to p16+/HPV+. Several genes associated with tumour cell proliferation and survival (CCND1, AKT1 and CD44) were more highly expressed in p16-/HPV- tumours relative to p16+/HPV+. Conversely, multiple genes with potential roles in anti-tumour immune responses (immune cell recruitment/trafficking, antigen processing and presentation), such as CXCL9, CXCL10, ITGB2, PSMB10, CD74, HLA-DRB and B2M, were more highly expressed in the tumour and stromal compartments of p16+/HPV+ OPC versus p16-/HPV- and p16+/HPV-. CXCL9 was the only gene showing significant differential expression between p16+/HPV- and p16-/HPV- tumours being upregulated within the stromal compartment of the former.ConclusionsIn terms of immune-oncology-related gene expression, discordant p16+/HPV- OPCs are much more closely aligned with p16-/HPV-OPCs and quite distinct from p16+/HPV+ tumours. This is consistent with previously described prognostic patterns (p16+/HPV+ &gt;&gt; p16+/HPV- &gt; p16-/HPV-) and underlines the need for dual p16 and HPV testing to guide clinical decision making.
数字空间轮廓分析确定口咽肿瘤内与 HPV 和 p16 状态相关的免疫肿瘤相关基因表达的独特模式
背景口咽癌(OPC)的发病率正在上升,这主要是由于人类乳头状瘤病毒(HPV)介导的疾病增多。与HPV阴性口咽癌相比,HPV介导的口咽癌预后要好得多,这激发了人们对去强化治疗方法的兴趣,以减少长期后遗症。常规临床检测经常使用免疫组化法检测 p16 的上调,作为 HPV 介导的替代标志物。然而,这并不能检测出不一致的 p16-/HPV+ 病例,而且还会错误地分配 p16+/HPV- 病例,鉴于其预后比 p16+/HPV+ 差,这可能会产生重要的临床影响。方法采用GeoMx数字空间图谱比较了代表p16+/HPV+、p16+/HPV-和p16-/HPV-三个亚组的福尔马林固定、石蜡包埋的OPC肿瘤组织(n=12)的肿瘤和基质区中选定的免疫肿瘤相关基因/基因家族(n=73)的表达模式。结果 相对于 p16+/HPV+ 肿瘤,p16+/HPV- 和 p16-/HPV- 肿瘤中的角蛋白(多 KRT)和 HIF1A(缺氧适应的关键调节因子)均上调。与 p16+/HPV+ 相比,一些与肿瘤细胞增殖和存活相关的基因(CCND1、AKT1 和 CD44)在 p16-/HPV- 肿瘤中的表达更高。相反,CXCL9、CXCL10、ITGB2、PSMB10、CD74、HLA-DRB 和 B2M 等多个在抗肿瘤免疫反应(免疫细胞招募/牵引、抗原处理和呈递)中具有潜在作用的基因在 p16+/HPV+ OPC 的肿瘤和基质区中的表达量高于 p16-/HPV- 和 p16+/HPV-。结论 在免疫肿瘤学相关基因表达方面,不一致的 p16+/HPV- OPC 与 p16-/HPV-OPC 更加接近,与 p16+/HPV+ 肿瘤截然不同。这与之前描述的预后模式(p16+/HPV+ &gt;&gt; p16+/HPV- &gt; p16-/HPV-)一致,并强调了进行 p16 和 HPV 双重检测以指导临床决策的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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