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通过单细胞 RNA 测序鉴定肺癌患者对 PD-1 阻断治疗的 JUN 基因和细胞微环境。

Identification of JUN gene and cellular microenvironment in response to PD-1 blockade treatment in lung cancer patients via single-cell RNA sequencing.

机构信息

No.2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China.

Department of Oncology, Tongren People’s Hospital, Tongren, Guizhou, China.

出版信息

Aging (Albany NY). 2024 Jun 13;16(12):10348-10365. doi: 10.18632/aging.205932.

DOI:10.18632/aging.205932
PMID:38874497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11236306/
Abstract

Exploring the molecular mechanisms of PD-1/PDL-1 blockade for non-small cell lung cancer (NSCLC) would facilitate understanding for tumor microenvironment (TME) and development of individualized medicine. To date, biomarkers of response to PD-1 blockade therapy were still limited. In this study, we hypothesize that cell type in the tumor microenvironment can influence the effect of PD-1 blockade immunotherapy through specific genes. Therefore, we re-analyze the single-cell RNA sequencing data and validation in tissue from lung adenocarcinoma patients. Dynamic changes of cellular subpopulation were observed after anti-PD-1 immunotherapy among TMEs between primary/metastasis or good/poor response patients. Non-exhausted CD8 T cells and dysregulated genes were observed in responsing patients from PD-1 blockade therapy. Among all changed genes, JUN, involved in PD-1 blockade immunotherapy pathway, and could be considered as a PD-1 responsing biomarker.

摘要

探索 PD-1/PDL-1 阻断在非小细胞肺癌 (NSCLC) 中的分子机制将有助于了解肿瘤微环境 (TME) 和个体化医学的发展。迄今为止,对 PD-1 阻断治疗反应的生物标志物仍然有限。在这项研究中,我们假设肿瘤微环境中的细胞类型可以通过特定基因影响 PD-1 阻断免疫治疗的效果。因此,我们重新分析了来自肺腺癌患者的组织中的单细胞 RNA 测序数据和验证。在原发性/转移性或良好/不良反应患者的 TME 中,观察到抗 PD-1 免疫治疗后细胞亚群的动态变化。在 PD-1 阻断治疗中,有反应的患者中观察到非耗竭的 CD8 T 细胞和失调的基因。在所有变化的基因中,参与 PD-1 阻断免疫治疗途径的 JUN 可以被认为是 PD-1 反应的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/498945428be6/aging-16-205932-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/ab9e9b858e8f/aging-16-205932-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/ebada320b2b8/aging-16-205932-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/498945428be6/aging-16-205932-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/ab9e9b858e8f/aging-16-205932-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/510c4f4e6822/aging-16-205932-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/bf3937a93a7d/aging-16-205932-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/475d08a29fe8/aging-16-205932-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11236306/498945428be6/aging-16-205932-g006.jpg

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