Prognostic value of an integrated human papilloma virus and immunoscore model to predict survival in vulva squamous cell carcinoma

Rammah Elnour, Ingjerd Helstrup Hindenes, Malene Faerevaag, Ingrid Benedicte Moss Kolseth, Liv Cecilie Vestrheim Thomsen, Anne Christine Johannessen, Daniela Elena Costea, Line Bjorge, Harsh Nitin Dongre
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Abstract

Background: While the prognostic value of immune-related biomarkers is well characterized in many solid tumors, their significance in vulva squamous cell carcinoma (VSCC) remains unclear. Here, we report a comprehensive analysis of programmed death-ligand 1 (PD-L1) and immune cell infiltrates in VSCC and establish immunoscore models for classification of the disease. Methods: Archival tissues, immunohistochemistry, and digital quantification were used to investigate the number of CD4+, CD8+, CD68+, CD14+, FoxP3+, and PD-L1+ cells in epithelial and stromal compartments of VSCC (n=117). Immunoscores were developed by using these parameters and applying the least absolute shrinkage and selection operator (LASSO) to identify predictors of survival. Immunoscores were then integrated with HPV status, as determined by mRNA in situ hybridization, to construct internally validated nomograms. The models were assessed using Harrell's concordance-index (c-index), calibration plots, Kaplan-Meier curves, and decision curve analysis. Results: Advanced VSCC (FIGO stage III/IV) was characterized by high numbers of CD68+ macrophages and PD-L1+ cells (Spearmans correlation, ρ>0.80) in the epithelium. PD-L1 status independently predicted poor progression free survival (PFS) (HR=1.80, (95% CI (1.024-3.170), p=0.041). High stromal CD68+ or CD14+ myeloid cell infiltration was associated with poor PFS and disease specific survival (DSS) (p<0.05). Immunological parameters were used to determine immunoscores. ImmunoscorePFS and immunoscoreDSS were independent prognosticators of PFS (p=0.001) and DSS (p=0.007) respectively. Integrating immunoscores with HPV status (IS-HPV index) improved the prognostic impact of the models. The c-index of IS-HPV indexPFS was 0.750 for prediction of PFS compared to 0.666 for HPV status and 0.667 for immunoscorePFS. The c-index of IS-HPV indexDSS was 0.752 for predicting DSS compared to 0.631 for HPV status and 0.715 for immunoscoreDSS. Conclusion: In summary, an index based on HPV status and an immunoscore built on PD-L1 expression and immune cell infiltrates could potentially serve as a prognostic tool to refine risk stratification in VSCC. Further validation is warranted to demonstrate clinical utility.
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预测外阴鳞状细胞癌生存率的人类乳头状瘤病毒和免疫评分综合模型的预后价值
背景:虽然免疫相关生物标记物在许多实体瘤中的预后价值已得到了很好的描述,但它们在外阴鳞状细胞癌(VSCC)中的意义仍不明确。在此,我们报告了对VSCC中程序性死亡配体1(PD-L1)和免疫细胞浸润的全面分析,并建立了用于疾病分类的免疫评分模型。研究方法采用档案组织、免疫组化和数字量化技术研究 VSCC(n=117)上皮和基质中 CD4+、CD8+、CD68+、CD14+、FoxP3+ 和 PD-L1+ 细胞的数量。通过使用这些参数并应用最小绝对缩小和选择算子(LASSO)来确定生存预测因子,从而建立免疫分数。然后将免疫评分与通过 mRNA 原位杂交确定的 HPV 状态相结合,构建出经过内部验证的提名图。使用哈雷尔一致性指数(c-index)、校准图、卡普兰-梅耶曲线和决策曲线分析对模型进行评估。结果晚期VSCC(FIGO III/IV期)的特征是上皮细胞中有大量CD68+巨噬细胞和PD-L1+细胞(Spearmans相关性,ρ>0.80)。PD-L1 状态可独立预测较差的无进展生存期(PFS)(HR=1.80,(95% CI (1.024-3.170),p=0.041)。高基质CD68+或CD14+髓系细胞浸润与不良无进展生存期和疾病特异性生存期(DSS)相关(p<0.05)。免疫学参数用于确定免疫评分。免疫评分PFS和免疫评分DSS分别是PFS(p=0.001)和DSS(p=0.007)的独立预后指标。将免疫评分与人乳头瘤病毒状态(IS-HPV 指数)相结合可提高模型对预后的影响。IS-HPV indexPFS 预测 PFS 的 c 指数为 0.750,而 HPV 状态预测 PFS 的 c 指数为 0.666,免疫评分预测 PFS 的 c 指数为 0.667。IS-HPV indexDSS 预测 DSS 的 c 指数为 0.752,而 HPV 状态为 0.631,免疫评分 DSS 为 0.715。结论总之,基于HPV状态的指数和基于PD-L1表达和免疫细胞浸润的免疫评分有可能成为一种预后工具,用于完善VSCC的风险分层。要证明其临床实用性,还需要进一步验证。
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