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宫颈癌免疫浸润微环境识别、免疫评分构建，辅助患者预后和免疫治疗。

Cervical cancer immune infiltration microenvironment identification, construction of immune scores, assisting patient prognosis and immunotherapy.

机构信息

Department of Gynecological Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, Hubei, China.

出版信息

Front Immunol. 2023 Mar 10;14:1135657. doi: 10.3389/fimmu.2023.1135657. eCollection 2023.

DOI:10.3389/fimmu.2023.1135657
PMID:36969161
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10037308/
Abstract

BACKGROUND

The immune microenvironment is of great significance in cervical cancer. However, there is still a lack of systematic research on the immune infiltration environment of cervical cancer.

METHODS

We obtained cervical cancer transcriptome data and clinical information from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, evaluated the immune microenvironment of cervical cancer, determined immune subsets, constructed an immune cell infiltration scoring system, screened key immune-related genes, and performed single-cell data analysis and cell function analysis of key genes.

RESULTS

We combined the TCGA and GEO data sets and obtained three different immune cell populations. We obtained two gene clusters, extracted 119 differential genes, and established an immune cell infiltration (ICI) scoring system. Finally, three key genes, IL1B, CST7, and ITGA5, were identified, and single-cell sequencing data were mined to distribute these key genes in different cell types. By up-regulating CST7 and down-regulating IL1B and ITGA5, cervical cancer cells' proliferation ability and invasion ability were successfully reduced.

CONCLUSION

We conducted a comprehensive assessment of the state of the tumor immune microenvironment in cervical cancer, constructed the ICI scoring system, and identified the ICI scoring system as a potential indicator of susceptibility to immunotherapy for cervical cancer, identifying key genes suggesting that IL1B, CST7, and ITGA5 play an essential role in cervical cancer.

摘要

背景

免疫微环境在宫颈癌中具有重要意义。然而，目前仍然缺乏对宫颈癌免疫浸润环境的系统研究。

方法

我们从癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）中获得了宫颈癌转录组数据和临床信息，评估了宫颈癌的免疫微环境，确定了免疫亚群，构建了免疫细胞浸润评分系统，筛选了关键免疫相关基因，并进行了关键基因的单细胞数据分析和细胞功能分析。

结果

我们结合了 TCGA 和 GEO 数据集，获得了三种不同的免疫细胞群体。我们获得了两个基因簇，提取了 119 个差异基因，并建立了免疫细胞浸润（ICI）评分系统。最后，确定了三个关键基因，IL1B、CST7 和 ITGA5，并挖掘了单细胞测序数据，将这些关键基因分布在不同的细胞类型中。通过上调 CST7 和下调 IL1B 和 ITGA5，成功降低了宫颈癌细胞的增殖能力和侵袭能力。

结论

我们对宫颈癌肿瘤免疫微环境的状态进行了全面评估，构建了 ICI 评分系统，并确定 ICI 评分系统是宫颈癌免疫治疗敏感性的潜在指标，确定了关键基因，表明 IL1B、CST7 和 ITGA5 在宫颈癌中发挥着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/bcb0f1d89524/fimmu-14-1135657-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/579f25b9e3ce/fimmu-14-1135657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/d0b74f9a4c13/fimmu-14-1135657-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/cba22e864ef7/fimmu-14-1135657-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/3719eb3943a2/fimmu-14-1135657-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/4543a9d1e448/fimmu-14-1135657-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/44fbb326d223/fimmu-14-1135657-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/fcdbdbc6d40c/fimmu-14-1135657-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/f25b18544b09/fimmu-14-1135657-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/bcb0f1d89524/fimmu-14-1135657-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/579f25b9e3ce/fimmu-14-1135657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/d0b74f9a4c13/fimmu-14-1135657-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/cba22e864ef7/fimmu-14-1135657-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/3719eb3943a2/fimmu-14-1135657-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/4543a9d1e448/fimmu-14-1135657-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/44fbb326d223/fimmu-14-1135657-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/fcdbdbc6d40c/fimmu-14-1135657-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/f25b18544b09/fimmu-14-1135657-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f564/10037308/bcb0f1d89524/fimmu-14-1135657-g009.jpg

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