Division of Experimental Therapeutics, European Institute of Oncology, Milano, Italy.
Service de Biostatistique et d'Epidémiologie, Gustave Roussy, Villejuif, France.
Ann Oncol. 2018 Jan 1;29(1):162-169. doi: 10.1093/annonc/mdx691.
In patients with triple-negative breast cancer (TNBC), the extent of tumor-infiltrating lymphocytes (TILs) in the residual disease after neoadjuvant chemotherapy (NACT) is associated with better prognosis. Our objective was to develop a gene signature from pretreatment samples to predict the extent of TILs after NACT and then to test its prognostic value on survival.
Using 99 pretreatment samples, we generated a four-gene signature associated with high post-NACT TILs. Prognostic value of the signature on distant relapse-free survival (DRFS) was first assessed on the training set (n = 99) and then on an independent validation set (n = 115).
A four-gene signature combining the expression levels of HLF, CXCL13, SULT1E1, and GBP1 was developed in baseline samples to predict the extent of lymphocytic infiltration after NACT. In a multivariate analysis performed on the training set, this signature was associated with DRFS [hazard ratio (HR): 0.28, for a one-unit increase in the value of the four-gene signature, 95% confidence interval (CI): 0.13-0.63)]. In a multivariate analysis performed on an independent validation set, the four-gene signature was significantly associated with DRFS (HR: 0.17, 95% CI: 0.06-0.43). The four-gene signature added significant prognostic information when compared with the clinicopathologic pretreatment model (likelihood ratio test in the training set P = 0.004 and in the validation set P = 0.002).
A four-gene signature predicts high levels of TILs after anthracycline-containing NACT and outcome in patients with TNBC and adds prognostic information to a clinicopathological model at diagnosis.
在接受新辅助化疗(NACT)后的三阴性乳腺癌(TNBC)患者中,肿瘤浸润淋巴细胞(TILs)的残留程度与更好的预后相关。我们的目的是从预处理样本中开发一个基因特征,以预测 NACT 后 TILs 的程度,然后检验其对生存的预后价值。
使用 99 个预处理样本,我们生成了一个与高 NACT 后 TILs 相关的四个基因特征。该特征对远处无复发生存(DRFS)的预后价值首先在训练集(n=99)上进行评估,然后在独立验证集(n=115)上进行评估。
在基线样本中,通过组合 HLF、CXCL13、SULT1E1 和 GBP1 的表达水平,开发了一个四基因特征,以预测 NACT 后淋巴细胞浸润的程度。在训练集中进行的多变量分析中,该特征与 DRFS 相关[风险比(HR):0.28,四基因特征值增加一个单位,95%置信区间(CI):0.13-0.63)]。在独立验证集中进行的多变量分析中,四基因特征与 DRFS 显著相关(HR:0.17,95%CI:0.06-0.43)。与临床病理预处理模型相比,四基因特征增加了显著的预后信息(训练集似然比检验 P=0.004,验证集 P=0.002)。
一个四基因特征预测了蒽环类药物 NACT 后 TILs 的高水平和 TNBC 患者的结局,并在诊断时为临床病理模型增加了预后信息。