医学
病态的
肺
病理
肿瘤微环境
免疫系统
癌症研究
内科学
免疫学
作者
Qing-Yun Gao,Fa-Man Xiao,Xiao-Cheng Lin,Yuqing Chen,Yufa Li,Chang Lu,Junwei Su,Quan-Quan Tan,Chanyuan Zhang,Jiao Yang,Yi−Long Wu,Hua‐Jun Chen,Jin‐Ji Yang
标识
DOI:10.1016/j.ctarc.2023.100707
摘要
For patients with lung malignancies with RET rearrangement, the efficacy of immune checkpoint inhibitors is limited. The characteristics of the tumour immune microenvironment (TIME) and molecular pathological features of these patients have not been well elucidated. We aimed to investigate their clinical outcomes and explore characteristics of TIME, using multiplex immunohistochemistry technology (mIHC). The pathology and TIME characteristics of 29 patients with lung malignancies with RET rearrangement were retrospectively analysed, and their relationships with clinical efficacy and prognosis were investigated. Gene detection relied on high-throughput sequencing, and TIME detection was based on mIHC. Of 29 patients, 25(86%) had adenocarcinoma, and the acinar type accounted for the greatest percentage of patients, followed by the solid type, regardless of whether the disease was early or locally advanced and metastatic. In addition, we report a novel KIF5B-RET(k24:R8) rearrangement in pulmonary sarcoma. The density of CD8+ T cells in tumour stroma in early-stage patients was significantly higher than that in locally advanced and metastatic patients (P = 0.014). The proportion of M2 macrophages in tumour stroma was significantly higher than that in tumour parenchyma (P = 0.046). Although the difference was not statistically significant (P = 0.098), patients positive for M2 macrophage infiltration into the tumour parenchyma (≥5%) may have a better prognosis. Seven patients received immunotherapy and disease control rate was 85.7%. A novel KIF5B-RET rearrangement variant in pulmonary sarcoma shows similar TIME characteristics to lung cancer. amongst patients with lung malignancies with RET rearrangement, patients with M2 macrophage infiltration into the tumour parenchyma may have a better prognosis, but further studies with larger cohorts are needed.
科研通智能强力驱动
Strongly Powered by AbleSci AI