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鉴定口腔鳞状细胞癌预后预测的免疫相关风险特征。

Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma.

机构信息

Foshan Stomatological Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.

出版信息

J Immunol Res. 2021 Aug 25;2021:6203759. doi: 10.1155/2021/6203759. eCollection 2021.

DOI:10.1155/2021/6203759
PMID:34497859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8420972/
Abstract

BACKGROUND

Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, which remains a major cause of morbidity and mortality in patients with head and neck cancers. However, the critical immune-related signatures and their prognostic values have rarely been investigated.

MATERIALS AND METHODS

Gene differential analysis was used to measure the differences of gene expression between the groups. Correlation analysis was used to assess the association between the gene expression levels and immune-related risk score/DNA methylation levels. The gene set enrichment analysis (GSEA) was used to identify the pathways or cell types enriched by those identified differentially expressed genes (DEGs).

RESULTS

In this study, we identified four immune-related gene signatures, including , , , and , that were significantly associated with the overall survival in OSCC patients from the Cancer Genome Atlas (TCGA) OSCC cohort. Moreover, these four immune-related signatures were differentially expressed between the OSCC and nontumor tissues. The two groups (high and low risk) stratified by the immune-related risk scores had significantly different OS and mortality rates. The gene expression patterns and prognostic values of these immune-related signatures were also verified in two independent validation cohorts. Furthermore, the downregulated genes in the high-risk group (which were also upregulated in the low-risk group) were significantly enriched in the cell type-specific signatures of type 2 T helper cell (Th2), plasmacytoid dendritic cell (pDC), and memory B cell. In contrast, the upregulated genes in the high-score group were enriched in growth factor receptor-related signaling pathways, such as the VEGFA-VEGFR2 signaling pathway, PI3K-Akt signaling pathway, focal adhesion-PI3K-Akt-mTOR signaling pathway, and PDGF pathway, suggesting that those pathways were inversely correlated with immune cell infiltration.

CONCLUSION

In summary, the immune-related signatures had the potential for predicting the risk of OSCC patients. Moreover, the present study also improved our understanding of the association between the growth factor receptor pathways and immune cell infiltration in OSCC.

摘要

背景

口腔鳞状细胞癌(OSCC)是最常见的口腔癌类型,仍是头颈部癌症患者发病率和死亡率的主要原因。然而,关键的免疫相关特征及其预后价值很少被研究。

材料与方法

采用基因差异分析测量两组间基因表达的差异。采用相关性分析评估基因表达水平与免疫相关风险评分/DNA 甲基化水平之间的相关性。采用基因集富集分析(GSEA)鉴定由差异表达基因(DEG)鉴定的途径或细胞类型。

结果

本研究从癌症基因组图谱(TCGA)OSCC 队列中确定了四个与 OSCC 患者总生存期显著相关的免疫相关基因特征,包括 、 、 、 。此外,这些四个免疫相关特征在 OSCC 与非肿瘤组织之间存在差异表达。根据免疫相关风险评分分层的两组(高风险和低风险)在 OS 和死亡率方面有显著差异。这些免疫相关特征的基因表达模式和预后价值也在两个独立的验证队列中得到验证。此外,高风险组下调的基因(在低风险组中也上调)在 2 型 T 辅助细胞(Th2)、浆细胞样树突状细胞(pDC)和记忆 B 细胞的细胞类型特异性特征中显著富集。相反,高评分组上调的基因在生长因子受体相关信号通路中富集,如 VEGFA-VEGFR2 信号通路、PI3K-Akt 信号通路、焦点黏附-PI3K-Akt-mTOR 信号通路和 PDGF 通路,表明这些通路与免疫细胞浸润呈负相关。

结论

总之,免疫相关特征有可能预测 OSCC 患者的风险。此外,本研究还提高了我们对生长因子受体途径与 OSCC 中免疫细胞浸润之间关联的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/a29dbadecb56/JIR2021-6203759.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/5d34706cfd9a/JIR2021-6203759.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/a2df9e55bf30/JIR2021-6203759.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/fd39296a97a2/JIR2021-6203759.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/b5fc81e488bc/JIR2021-6203759.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/a29dbadecb56/JIR2021-6203759.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/5d34706cfd9a/JIR2021-6203759.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/a2df9e55bf30/JIR2021-6203759.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/fd39296a97a2/JIR2021-6203759.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/b5fc81e488bc/JIR2021-6203759.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596b/8420972/a29dbadecb56/JIR2021-6203759.005.jpg

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本文引用的文献

1
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2
Bioinformatics Analyses Indicate That Cathepsin G (CTSG) is a Potential Immune-Related Biomarker in Oral Squamous Cell Carcinoma (OSCC).生物信息学分析表明,组织蛋白酶G(CTSG)是口腔鳞状细胞癌(OSCC)中一种潜在的免疫相关生物标志物。
Onco Targets Ther. 2021 Feb 25;14:1275-1289. doi: 10.2147/OTT.S293148. eCollection 2021.
3
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
头颈部鳞状细胞癌中初级纤毛相关信号传导
Front Oncol. 2024 Aug 21;14:1413255. doi: 10.3389/fonc.2024.1413255. eCollection 2024.
4
Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma.基于多模态人工智能的病原体组学提高了口腔鳞状细胞癌的生存预测。
Sci Rep. 2024 Mar 7;14(1):5687. doi: 10.1038/s41598-024-56172-5.
5
Unravelling the heterogeneity of oral squamous cell carcinoma by integrative analysis of single-cell and bulk transcriptome data.通过单细胞和批量转录组数据的综合分析揭示口腔鳞状细胞癌的异质性。
J Cell Mol Med. 2024 Feb;28(3):e18108. doi: 10.1111/jcmm.18108. Epub 2024 Jan 26.
6
CTSG Suppresses Colorectal Cancer Progression through Negative Regulation of Akt/mTOR/Bcl2 Signaling Pathway.CTSG 通过负向调控 Akt/mTOR/Bcl2 信号通路抑制结直肠癌细胞的进展。
Int J Biol Sci. 2023 Apr 17;19(7):2220-2233. doi: 10.7150/ijbs.82000. eCollection 2023.
7
Identification of Recurrence-Related mRNAs and Noncoding RNAs in Hepatocellular Carcinoma Following Liver Transplantation.肝癌肝移植术后复发相关 mRNA 和非编码 RNA 的鉴定。
Turk J Gastroenterol. 2023 Apr;34(4):394-405. doi: 10.5152/tjg.2023.22656.
8
An oxidative stress-related prognostic signature for indicating the immune status of oral squamous cell carcinoma and guiding clinical treatment.一种与氧化应激相关的预后特征,用于指示口腔鳞状细胞癌的免疫状态并指导临床治疗。
Front Genet. 2022 Sep 23;13:977902. doi: 10.3389/fgene.2022.977902. eCollection 2022.
9
A Novel Immune-Related Gene Signature to Identify the Tumor Microenvironment and Prognose Disease Among Patients With Oral Squamous Cell Carcinoma Patients Using ssGSEA: A Bioinformatics and Biological Validation Study.基于 ssGSEA 的新型免疫相关基因特征识别口腔鳞状细胞癌患者肿瘤微环境和预测疾病预后:一项生物信息学和生物学验证研究。
Front Immunol. 2022 Jul 6;13:922195. doi: 10.3389/fimmu.2022.922195. eCollection 2022.
10
Immune-related gene signature predicts clinical outcomes and immunotherapy response in acute myeloid leukemia.免疫相关基因特征可预测急性髓系白血病的临床结局和免疫治疗反应。
Cancer Med. 2022 Sep;11(17):3364-3380. doi: 10.1002/cam4.4687. Epub 2022 Mar 30.
《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.
4
Overexpressed PLAU and its potential prognostic value in head and neck squamous cell carcinoma.PLAU在头颈部鳞状细胞癌中的过表达及其潜在预后价值。
PeerJ. 2021 Jan 15;9:e10746. doi: 10.7717/peerj.10746. eCollection 2021.
5
The Potential of Five Immune-Related Prognostic Genes to Predict Survival and Response to Immune Checkpoint Inhibitors for Soft Tissue Sarcomas Based on Multi-Omic Study.基于多组学研究的五个免疫相关预后基因预测软组织肉瘤生存及对免疫检查点抑制剂反应的潜力
Front Oncol. 2020 Jul 24;10:1317. doi: 10.3389/fonc.2020.01317. eCollection 2020.
6
Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer.鉴定一种免疫相关的长非编码 RNA 特征,并构建列线图作为肌层浸润性膀胱癌的预后靶标。
Aging (Albany NY). 2020 Jun 24;12(12):12051-12073. doi: 10.18632/aging.103369.
7
Analysis of HPV-Positive and HPV-Negative Head and Neck Squamous Cell Carcinomas and Paired Normal Mucosae Reveals Cyclin D1 Deregulation and Compensatory Effect of Cyclin D2.对人乳头瘤病毒(HPV)阳性和阴性的头颈部鳞状细胞癌以及配对的正常黏膜进行分析,发现细胞周期蛋白D1失调及细胞周期蛋白D2的代偿作用。
Cancers (Basel). 2020 Mar 26;12(4):792. doi: 10.3390/cancers12040792.
8
Profiles of immune cell infiltration and their clinical significance in head and neck squamous cell carcinoma.头颈部鳞状细胞癌中免疫细胞浸润特征及其临床意义
Int Immunopharmacol. 2020 Mar 4;82:106364. doi: 10.1016/j.intimp.2020.106364.
9
B cells, plasma cells and antibody repertoires in the tumour microenvironment.肿瘤微环境中的 B 细胞、浆细胞和抗体库。
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10
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Immunity. 2020 Jan 14;52(1):183-199.e9. doi: 10.1016/j.immuni.2019.11.014. Epub 2020 Jan 7.