一种用于克服非小细胞肺癌治疗中抗原异质性的多靶向 CAR-T 细胞平台
A Multi-Targeting Chimeric Antigen Receptor-T Cell Platform to Overcome Antigen Heterogeneity in the Treatment of Non-Small Cell Lung Cancer.
这些发现支持采用多靶点CAR-T 策略来应对NSCLC及可能其他实体瘤中的抗原异质性。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Single-cell RNA sequencing reveals microenvironmental infiltration in non-small cell lung cancer with different responses to immunotherapy.
Single-cell RNA sequencing reveals microenvironmental infiltration in non-small cell lung cancer with different responses to immunotherapy.
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通过探索不同新辅助免疫治疗对应程度样本中肿瘤微环境(TME)的差异,本研究引入了若干预测治疗反应的新型生物标志物,以及克服免疫治疗耐药的理论基础。
免疫治疗是癌症治疗领域一项突破性且具有里程碑意义的成就,标志着对抗这一毁灭性疾病的重要进展。肺癌在免疫治疗中已显示出持续的临床改善,然而,不可否认的是,缓解率有限、获得性耐药以及基本机制不明确等挑战是不可避免的问题。
通过对GSE207422中MPR(主要病理缓解)和NMPR(非主要病理缓解)样本进行单细胞RNA测序(scRNA-seq)分析,定义并区分了细胞组成,其中包括四个原发性MPR样本和八个原发性NMPR样本。
我们发现MPR和NMPR样本之间的CD8+ T细胞群体存在明显差异,NMPR样本中TYMS、RRM2和BIRC5高表达。同时,NMPR样本中巨噬细胞和肿瘤上皮细胞浸润比例增加。我们在上皮细胞中发现了可能预示较差预后的生物标志物(ACTN4、ATF3、BRD2、CDKN1A和CHMP4B)。
Immunotherapy represents a groundbreaking and monumental achievement in the field of cancer therapy, marking a significant advancement in fighting against this devastating disease. Lung cancer has showed consistent clinical improvements in response to immunotherapy treatments, yet, it is undeniable that challenges such as limited response rates acquire resistance, and the unclear fundamental mechanisms were inevitable problems.
The cellular composition was defined and distinguished through single-cell RNA sequencing (scRNA-seq) analysis of MPR (major pathologic response) and NMPR (non-major pathologic response) samples in GSE207422, including four primary MPR samples and eight primary NMPR samples.
We found obvious difference in CD8+ T cell population between MPR and NMPR samples, with high expression of TYMS, RRM2, and BIRC5 in NPMR samples. Meanwhile, the proportion of macrophages and tumor epithelial cells infiltration increased in the NMPR samples. We discovered biomarkers (ACTN4, ATF3, BRD2, CDKN1A, and CHMP4B) in epithelial cells which were potentially represented worse outcomes.
By exploring the difference of tumor microenvironment (TME) in samples with different corresponding degrees of neoadjuvant immunotherapy, this research introduces a number of novel biomarkers for predicting the response of treatment and a theoretical basis for overcoming immunotherapy resistance.
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