免疫染色
癌症研究
免疫疗法
肺癌
祖细胞
免疫组织化学
PD-L1
癌症
医学
肿瘤浸润淋巴细胞
细胞
免疫系统
免疫检查点
肿瘤科
内科学
生物
免疫学
干细胞
遗传学
作者
Jaemoon Koh,Sehui Kim,Yeon Duk Woo,Seung Geun Song,Jeemin Yim,Bogyeong Han,Sojung Lim,Hyun Kyung Ahn,Seungchan Mun,Jung Sun Kim,Bhumsuk Keam,Young A Kim,Se‐Hoon Lee,Yoon Kyung Jeon,Doo Hyun Chung
标识
DOI:10.1016/j.ejca.2022.07.004
摘要
Background T-cell factor 1 (TCF1) + Programmed cell death-1 (PD-1) + tumour-infiltrating lymphocytes (TILs) are a recently defined subset of exhausted T-cells (Texh-cells) that exhibit a progenitor phenotype. They have been associated with a response to immune checkpoint inhibitor (ICI) therapy in murine tumour models and in patients with malignant melanoma. We investigated the significance of TCF1 + PD-1 + TILs as a predictive biomarker for ICI therapy response in non-small-cell lung cancer (NSCLC). Methods Two different cohorts of NSCLC patients treated with ICI targeting the PD-1/PD-L1 pathway were included. RNA-seq was performed using NSCLC tissues obtained from 234 patients prior to immunotherapy (RNA-seq cohort). Double immunostaining of TCF1 and PD-1 and single immunostaining of other immunologic markers were performed in resected tumour tissues from another 116 patients (immunohistochemistry cohort). Results In the RNA-seq cohort, both Texh-cell and progenitor Texh-cell gene sets were enriched in responders compared with non-responders. Larger Texh-cell fractions and increased progenitor Texh-cell gene sets were significantly associated with better progression-free survival (PFS). In the immunohistochemistry cohort, the TCF1 + PD-1 + TIL number and PD-L1 tumour proportion score were significantly higher in responders than in non-responders. A high number of TCF1 + PD-1 + TILs was significantly associated with both PFS and overall survival (OS) after ICI therapy, and it independently predicted a better PFS and OS according to multivariate analysis. Conclusion TCF1 + PD-1 + TILs, representing progenitor Texh-cells, predict both better response and survival in NSCLC patients after ICI therapy. Thus, they may be a useful predictive biomarker for ICI therapy in NSCLC.
科研通智能强力驱动
Strongly Powered by AbleSci AI