B7H4-PDL1分类器可对宫颈癌的免疫表型进行分层。
The B7H4-PDL1 classifier stratifies immuno-phenotype in cervical cancer.
作者信息
Chen Lingyan, Dong Jianfeng, Li Zeying, Chen Yu, Zhang Yan
机构信息
Department of Oncology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48 Huaishu Road, Wuxi, 214000, China.
Department of Pathology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, 214000, China.
出版信息
Cancer Cell Int. 2022 Jan 4;22(1):3. doi: 10.1186/s12935-021-02423-8.
BACKGROUND
It has been revealed that B7H4 is negatively correlated with PDL1 and identifies immuno-cold tumors in glioma. However, the application of the B7H4-PDL1 classifier in cancers has not been well testified.
METHODS
A pan-cancer analysis was conducted to evaluate the immunological role of B7H4 using the RNA-sequencing data downloaded from the Cancer Genome Atlas (TCGA). Immunohistochemistry (IHC) and multiplexed quantitative immunofluorescence (QIF) were performed to validate the primary results revealed by bioinformatics analysis.
RESULTS
The pan-cancer analysis revealed that B7H4 was negatively correlated with PDL1 expression and immune cell infiltration in CeCa. In addition, patients with high B7H4 exhibited the shortest overall survival (OS) and relapse-free survival (RFS) while those with high PDL1 exhibited a better prognosis. Multiplexed QIF showed that B7H4 was mutually exclusive with PDL1 expression and the B7H4-high group exhibited the lowest CD8 + T cell infiltration. Besides, B7H4-high predicted highly proliferative subtypes, which expressed the highest Ki67 antigen. Moreover, B7H4-high also indicated a lower response to multiple therapies.
CONCLUSIONS
Totally, the B7H4-PDL1 classifier identifies the immunogenicity and predicts proliferative subtypes and limited therapeutic options in CeCa, which may be a convenient and feasible biomarker in clinical practice.
背景
研究表明，B7H4与PDL1呈负相关，并可识别胶质瘤中的免疫冷肿瘤。然而，B7H4-PDL1分类器在癌症中的应用尚未得到充分验证。
方法
利用从癌症基因组图谱（TCGA）下载的RNA测序数据进行泛癌分析，以评估B7H4的免疫作用。进行免疫组织化学（IHC）和多重定量免疫荧光（QIF）以验证生物信息学分析揭示的主要结果。
结果
泛癌分析显示，B7H4与结直肠癌（CeCa）中的PDL1表达和免疫细胞浸润呈负相关。此外，B7H4高表达的患者总生存期（OS）和无复发生存期（RFS）最短，而PDL1高表达的患者预后较好。多重QIF显示，B7H4与PDL1表达相互排斥，B7H4高表达组的CD8 + T细胞浸润最低。此外，B7H4高表达预示着高增殖亚型，其表达最高的Ki67抗原。此外，B7H4高表达还表明对多种治疗的反应较低。
结论
总的来说，B7H4-PDL1分类器可识别结直肠癌的免疫原性，预测增殖亚型和有限的治疗选择，这可能是临床实践中一种方便可行的生物标志物。
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