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免疫相关基因特征可识别胰腺癌中从辅助化疗中获益或可能对PD1/PD-L1阻断有反应的亚型。

Immunity-Related Gene Signature Identifies Subtypes Benefitting From Adjuvant Chemotherapy or Potentially Responding to PD1/PD-L1 Blockage in Pancreatic Cancer.

作者信息

Qian Hao, Li Hongzhe, Xie Junjie, Lu Xiongxiong, Li Fanlu, Wang Weishen, Tang Xiaomei, Shi Minmin, Jiang Linxi, Li Hongwei, Chen Hao, Peng Chenghong, Xu Zhiwei, Deng Xiaxing, Shen Baiyong

机构信息

Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Front Cell Dev Biol. 2021 Jun 23;9:682261. doi: 10.3389/fcell.2021.682261. eCollection 2021.

Abstract

Tumor microenvironment comprises of a variety of cell types, which is quite complex and involved in chemotherapy and immune checkpoint blockage resistance. In order to explore the mechanisms involved in tumor immune microenvironment in pancreatic ductal adenocarcinoma (PDAC), we first constructed an immunity-related 18-gene signature using The Cancer Genome Atlas (TCGA) PDAC project data. Then we applied the 18-gene signature to divide PDAC patients into low score and high score groups. Patients in high score group showed inferior prognosis, which was validated in another four independent cohorts, including Ruijin cohort. High score group showed significant enrichment of pathways involved in cell division and cell cycle especially in G1/S phase transition. In high score group, IHC analysis revealed higher levels of the proliferative indexes of Ki67 and PCNA than that in low score group. Prognostic analysis confirmed that patients in high score group could benefit from the gemcitabine-based adjuvant chemotherapy. In low score group, the programmed cell death 1 ligand 1(PD-L1) (+) cases showed worse prognosis but higher T cell infiltration than PD-L1(-) cases. Our immunity-related 18-gene signature could effectively predict PDAC prognosis, and it might be a practical predictive tool to identify PDAC subtype benefitting from gemcitabine-based adjuvant chemotherapy or potentially responding to PD1/PD-L1 blockade therapy.

摘要

肿瘤微环境由多种细胞类型组成,其相当复杂且与化疗及免疫检查点阻断抗性有关。为了探究胰腺导管腺癌(PDAC)肿瘤免疫微环境所涉及的机制,我们首先利用癌症基因组图谱(TCGA)的PDAC项目数据构建了一个与免疫相关的18基因特征。然后我们应用该18基因特征将PDAC患者分为低分和高分两组。高分组患者的预后较差,这在包括瑞金队列在内的另外四个独立队列中得到了验证。高分组显示出参与细胞分裂和细胞周期的通路显著富集,尤其是在G1/S期转换。在高分组中,免疫组化分析显示Ki67和PCNA的增殖指数水平高于低分。预后分析证实高分组患者可从基于吉西他滨的辅助化疗中获益。在低分患者中,程序性细胞死亡1配体1(PD-L1)(+)的病例预后较差,但与PD-L1(-)的病例相比,T细胞浸润更高。我们的与免疫相关的18基因特征可以有效预测PDAC的预后,并且它可能是一种实用的预测工具,用于识别可从基于吉西他滨的辅助化疗中获益或可能对PD1/PD-L1阻断疗法有反应的PDAC亚型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f1c/8264789/d9e5f329667a/fcell-09-682261-g001.jpg

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