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Development and validation of nomograms integrating immune‐related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple‐negative breast cancer: A gene expression‐based retrospective study

机译:将免疫相关基因组特征与临床病理学特征整合载体鉴定和验证,提高三阴性乳腺癌预后和预测值:基于基因表达的回顾性研究

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Purpose Accumulating evidence indicated that triple‐negative breast cancer (TNBC) can stimulate stronger immune responses than other subtypes of breast cancer. We hypothesized that integrating immune‐related genomic signatures with clinicopathologic factors may yield a predictive accuracy exceeding that of the currently available system. Methods Ten signatures that reflect specific immunogenic or immune microenvironmental features of TNBC were identified and re‐analyzed using bioinformatic methods. Then, clinically annotated TNBC (n?=?711) with the corresponding expression profiles, which predicted a patient's probability of disease‐free survival (DFS) and overall survival (OS), was pooled to evaluate their prognostic values and establish a clinicopathologic‐genomic nomogram. Three and two immune features were, respectively, selected out of 10 immune features to construct nomogram for DFS and OS prediction based on multivariate backward stepwise Cox regression analyses. Results By integrating the above immune expression signatures with prognostic clinicopathologic features, clinicopathologic‐genomic nomograms were cautiously constructed, which showed reasonable prediction accuracies (DFS: HR, 1.79; 95% CI, 1.46‐2.18, P ??0.001; AUC, 0.71; OS: HR, 1.96; 95% CI, 1.54‐2.49; P ??0.001; AUC, 0.73). The nomogram showed low‐risk subgroup had higher immune checkpoint molecules (PD‐L1, PD‐1, CTLA‐4, LAG‐3) expression and benefited from radiotherapy (HR, 0.2, 95% CI, 0.05‐0.89; P ?=?0.034) rather than chemotherapy (HR, 1.26, 95% CI, 0.66‐2.43; P ?=?0.485). Conclusions These findings offer evidence that immune‐related genomic data provide independent and complementary prognostic information for TNBC, and the nomogram might be a practical predictive tool to identify TNBC patients who would benefit from chemotherapy, radiotherapy, and upcoming popularity of immunotherapy.
机译:目的累积证据表明,三阴性乳腺癌(TNBC)可以刺激比乳腺癌的其他亚型更强的免疫应答。我们假设与临床病理因素的免疫相关基因组特征集成,可以产生超过当前可用系统的预测精度。方法使用生物信息方法确定反映TNBC的特异性免疫原性或免疫微环境特征的10种签名。然后,利用预测患者的患者的无疾病存活率(DFS)和总体存活率(OS)的临床注释的TNBC(n?=α711)被汇集以评估它们的预后值并建立临床病理 - 基因组载体。分别是三个和两个免疫特征,其中由10个免疫特征中选择,以构建基于多变量向后逐步COX回归分析的DFS和OS预测的NOM图。通过将上述免疫表达鉴定与预后临床病理学特征相容,临床病理学 - 基因组墓碑致慎构建,显示出合理的预测精度(DFS:HR,1.79; 95%CI,1.46-2.18,P?<0.001; AUC,0.71 ; OS:HR,1.96; 95%CI,1.54-2.49; P?<0.001; AUC,0.73)。 NOM图显示出低风险的亚组具有较高的免疫检查点分子(PD-L1,PD-1,CTLA-4,LAG-3)表达并受益于放射疗法(HR,0.2,95%CI,0.05-0.89; P?= ?0.034)而不是化疗(HR,1.26,95%CI,0.66-2.43; p?= 0.485)。结论这些调查结果提供了证据,即免疫相关的基因组数据为TNBC提供独立和互补的预后信息,NOM图可能是识别将从化疗,放射治疗和即将到来的免疫疗法中受益的TNBC患者的实用预测工具。

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