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结直肠癌中阳性T细胞功能调节因子的免疫属性及免疫治疗反应的综合评估

Comprehensive evaluation of immunological attributes and immunotherapy responses of positive T cell function regulators in colorectal cancer.

作者信息

Pu Ke, Gao Jingyuan, Feng Yang, Hu Jian, Tang Shunli, Yang Guodong, Xu Chuan

机构信息

Department of Gastroenterology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China.

Department of Immunology, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, 712046, China.

出版信息

BMC Gastroenterol. 2024 Oct 1;24(1):339. doi: 10.1186/s12876-024-03409-2.

DOI:10.1186/s12876-024-03409-2
PMID:39354362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11443709/
Abstract

BACKGROUND

Positive regulators of T-cell function (PTFRs), integral to T-cell proliferation and activation, have been identified as potential prognostic markers in colorectal cancer (CRC). Despite this, their role within the tumor microenvironment (TME) and their response to immunotherapy are not yet fully understood.

METHODS

This study delved into PTFR-related CRC subtypes by analyzing four independent transcriptome datasets, emphasizing the most significant prognostic PTFRs. We identified differentially expressed genes (DEGs) between two subtypes and developed a PTFR risk model using LASSO and Cox regression methods. The model's associations with survival time, clinical features, TME characteristics, tumor mutation profiles, microsatellite instability (MSI), cancer stem cell (CSC) index, and responses to chemotherapy, targeted therapy, and immunotherapy were subsequently explored.

RESULTS

The PTFR risk model demonstrated a strong predictive capacity for CRC. It facilitated the estimation of immune cell composition, HLA expression levels, immune checkpoint expression, mutation burden, CSC index features, and the effectiveness of immunotherapy.

CONCLUSIONS

This study enhances our understanding of the role of PTFRs in CRC progression and introduces an innovative assessment framework for CRC immunotherapy. This framework improves the prediction of treatment outcomes and aids in the customization of therapeutic strategies.

摘要

背景

T细胞功能的正向调节因子（PTFRs）是T细胞增殖和激活所必需的，已被确定为结直肠癌（CRC）的潜在预后标志物。尽管如此，它们在肿瘤微环境（TME）中的作用以及对免疫治疗的反应尚未完全明确。

方法

本研究通过分析四个独立的转录组数据集，深入研究了与PTFR相关的CRC亚型，重点关注最重要的预后PTFRs。我们确定了两种亚型之间的差异表达基因（DEGs），并使用LASSO和Cox回归方法建立了PTFR风险模型。随后探讨了该模型与生存时间、临床特征、TME特征、肿瘤突变谱、微卫星不稳定性（MSI）、癌症干细胞（CSC）指数以及对化疗、靶向治疗和免疫治疗反应的相关性。

结果

PTFR风险模型对CRC具有很强的预测能力。它有助于估计免疫细胞组成、HLA表达水平、免疫检查点表达、突变负担、CSC指数特征以及免疫治疗的有效性。

结论

本研究增进了我们对PTFRs在CRC进展中作用的理解，并为CRC免疫治疗引入了一个创新的评估框架。该框架改善了对治疗结果的预测，并有助于定制治疗策略。

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本文引用的文献

1
A genome-scale screen for synthetic drivers of T cell proliferation.全基因组筛选 T 细胞增殖的合成驱动因素。
Nature. 2022 Mar;603(7902):728-735. doi: 10.1038/s41586-022-04494-7. Epub 2022 Mar 16.
2
A Robust Prognostic Signature of Tumor Microenvironment in Colorectal Cancer.结直肠癌肿瘤微环境的一种稳健预后特征
Cancer Biother Radiopharm. 2022 Dec;37(10):963-975. doi: 10.1089/cbr.2021.0171. Epub 2021 Sep 22.
3
ITLN1 inhibits tumor neovascularization and myeloid derived suppressor cells accumulation in colorectal carcinoma.
ITLN1 抑制结直肠癌中的肿瘤新生血管形成和髓系来源抑制细胞积累。
Oncogene. 2021 Oct;40(40):5925-5937. doi: 10.1038/s41388-021-01965-5. Epub 2021 Aug 6.
4
oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data.OncoPredict：一个用于从细胞系筛选数据预测体内或癌症患者药物反应和生物标志物的 R 包。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab260.
5
The Role of Tumor Microenvironment Cells in Colorectal Cancer (CRC) Cachexia.肿瘤微环境细胞在结直肠癌（CRC）恶病质中的作用。
Int J Mol Sci. 2021 Feb 4;22(4):1565. doi: 10.3390/ijms22041565.
6
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020：全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
7
Tumor microenvironment as a therapeutic target in cancer.肿瘤微环境作为癌症治疗靶点。
Pharmacol Ther. 2021 May;221:107753. doi: 10.1016/j.pharmthera.2020.107753. Epub 2020 Nov 28.
8
Colorectal Cancer Immunotherapy: Options and Strategies.结直肠癌免疫治疗：选择与策略。
Front Immunol. 2020 Sep 18;11:1624. doi: 10.3389/fimmu.2020.01624. eCollection 2020.
9
Eotaxins and Their Receptor in Colorectal Cancer-A Literature Review.嗜酸性粒细胞趋化因子及其受体在结直肠癌中的研究——文献综述
Cancers (Basel). 2020 May 28;12(6):1383. doi: 10.3390/cancers12061383.
10
Interleukin-1β-induced pancreatitis promotes pancreatic ductal adenocarcinoma via B lymphocyte-mediated immune suppression.白细胞介素-1β诱导的胰腺炎通过 B 淋巴细胞介导的免疫抑制促进胰腺导管腺癌。
Gut. 2021 Feb;70(2):330-341. doi: 10.1136/gutjnl-2019-319912. Epub 2020 May 10.