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免疫排斥分类常数可提高乳腺癌常规预后标志物的预后价值。

The immunologic constant of rejection classification refines the prognostic value of conventional prognostic signatures in breast cancer.

机构信息

Equipe Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Marseille, France.

Département d'Oncologie Médicale, Institut Paoli-Calmettes, Marseille, France.

出版信息

Br J Cancer. 2018 Nov;119(11):1383-1391. doi: 10.1038/s41416-018-0309-1. Epub 2018 Oct 24.

Abstract

BACKGROUND

The immunologic constant of rejection (ICR) is a broad phenomenon of Th-1 immunity-mediated, tissue-specific destruction.

METHODS

We tested the prognostic value of a 20-gene ICR expression signature in 8766 early breast cancers.

RESULTS

Thirty-three percent of tumours were ICR1, 29% ICR2, 23% ICR3, and 15% ICR4. In univariate analysis, ICR4 was associated with a 36% reduction in risk of metastatic relapse when compared with ICR1-3 (p = 2.30E-03). In multivariate analysis including notably the three major prognostic signatures (Recurrence score, 70-gene signature, ROR-P), ICR was the strongest predictive variable (p = 9.80E-04). ICR showed no prognostic value in the HR+/HER2- subtype, but prognostic value in the HER2+ and TN subtypes. Furthermore, in each molecular subtype and among the tumours defined as high risk by the three prognostic signatures, ICR4 patients had a 41-75% reduction in risk of relapse as compared with ICR1-3 patients. ICR added significant prognostic information to that provided by the clinico-genomic models in the overall population and in each molecular subtype. ICR4 was independently associated with achievement of pathological complete response to neoadjuvant chemotherapy (p = 2.97E-04).

CONCLUSION

ICR signature adds prognostic information to that of current proliferation-based signatures, with which it could be integrated to improve patients' stratification and guide adjuvant treatment.

摘要

背景

免疫排斥常数(ICR)是一种广泛存在的 Th-1 免疫介导的组织特异性破坏现象。

方法

我们检测了 8766 例早期乳腺癌中 20 个基因 ICR 表达特征的预后价值。

结果

33%的肿瘤为 ICR1,29%为 ICR2,23%为 ICR3,15%为 ICR4。在单因素分析中,与 ICR1-3 相比,ICR4 与转移性复发风险降低 36%相关(p=2.30E-03)。在包括三个主要预后特征(复发评分、70 基因特征、ROR-P)在内的多因素分析中,ICR 是最强的预测变量(p=9.80E-04)。ICR 在 HR+/HER2-亚型中无预后价值,但在 HER2+和 TN 亚型中具有预后价值。此外,在每个分子亚型以及在三个预后特征定义为高危的肿瘤中,与 ICR1-3 患者相比,ICR4 患者的复发风险降低了 41-75%。ICR 为总体人群和每个分子亚型中的临床基因组模型提供了显著的预后信息。ICR4 与新辅助化疗达到病理完全缓解独立相关(p=2.97E-04)。

结论

ICR 特征增加了基于当前增殖特征的预后信息,可与这些特征结合,以改善患者分层并指导辅助治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40d2/6265245/843755a7eebc/41416_2018_309_Fig1_HTML.jpg

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