Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Signal Transduct Target Ther. 2020 Sep 4;5(1):182. doi: 10.1038/s41392-020-00221-8.
No clinically available biomarkers can predict pathological complete response (pCR) for esophageal squamous cell carcinomas (ESCCs) with neoadjuvant chemoradiotherapy (nCRT). Considering that antitumor immunity status is an important determinant for nCRT, we performed an integrative analysis of immune-related gene profiles from pretreatment biopsies and constructed the first individualized immune signature for pCR and outcome prediction of ESCCs through a multicenter analysis. During the discovery phase, 14 differentially expressed immune-related genes (DEIGs) with greater than a twofold change between pCRs and less than pCRs (<pCRs) were revealed from 28 pretreatment tumors in a Guangzhou cohort using microarray data. Ten DEIGs were verified by qPCR from 30 cases in a Beijing discovery cohort. Then, a four-gene-based immune signature (SERPINE1, MMP12, PLAUR, and EPS8) was built based on the verified DEIGs from 71 cases in a Beijing training cohort, and achieved a high accuracy with an area under the receiver operating characteristic curve (AUC) of 0.970. The signature was further validated in an internal validation cohort and an integrated external cohort (Zhengzhou and Anyang cohorts) with AUCs of 0.890 and 0.859, respectively. Importantly, a multivariate analysis showed that the signature was the only independent predictor for pCR. In addition, patients with high predictive scores showed significantly longer overall and relapse-free survival across multiple centers (P < 0.05). This is the first, validated, and clinically applicable individualized immune signature of pCR and outcome prediction for ESCCs with nCRT. Further prospective validation may facilitate the combination of nCRT and immunotherapy.
目前尚无临床可用的生物标志物可预测接受新辅助放化疗(nCRT)的食管鳞癌(ESCC)的病理完全缓解(pCR)。考虑到抗肿瘤免疫状态是 nCRT 的重要决定因素,我们对预处理活检的免疫相关基因谱进行了综合分析,并通过多中心分析构建了第一个用于预测 ESCCs pCR 和预后的个体化免疫特征。在发现阶段,使用微阵列数据从广州队列的 28 个预处理肿瘤中揭示了 14 个差异表达的免疫相关基因(DEIG),其在 pCR 与非 pCR(<pCR)之间的变化大于两倍。然后,通过对北京发现队列的 30 例进行 qPCR 验证,从 71 例北京训练队列中验证了 10 个 DEIG。然后,基于验证的 DEIG 构建了一个基于四个基因的免疫特征(SERPINE1、MMP12、PLAUR 和 EPS8),并在包含 71 例患者的北京训练队列中达到了 0.970 的高准确性。该特征在内部验证队列和整合的外部队列(郑州和安阳队列)中进一步验证,AUC 分别为 0.890 和 0.859。重要的是,多变量分析表明该特征是 pCR 的唯一独立预测因子。此外,高预测评分的患者在多个中心的总生存和无复发生存均显著延长(P<0.05)。这是第一个经验证且可临床应用的用于预测 ESCCs nCRT 后 pCR 和预后的个体化免疫特征。进一步的前瞻性验证可能有助于 nCRT 和免疫治疗的联合。