The Risk Genes SIRP5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis.

IF 3.5 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Zipeng Xu, Jiantao Gong, Weidong Hu, Chen Ge, Genxi Tong, Fengjun Cai, Zhenghai Zhu, Yihang Yuan, Chaobo Chen
{"title":"The Risk Genes SIRP5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis.","authors":"Zipeng Xu, Jiantao Gong, Weidong Hu, Chen Ge, Genxi Tong, Fengjun Cai, Zhenghai Zhu, Yihang Yuan, Chaobo Chen","doi":"10.2174/0109298673331144241009082052","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Globally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD.</p><p><strong>Methods: </strong>The immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed.</p><p><strong>Results: </strong>First, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed SIRP5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, SIRP5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate.</p><p><strong>Conclusion: </strong>In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (SIRP5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0109298673331144241009082052","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Globally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD.

Methods: The immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed.

Results: First, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed SIRP5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, SIRP5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate.

Conclusion: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (SIRP5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.

通过单细胞和大容量 RNA 测序分析发现作为结肠腺癌诊断、免疫疗法和治疗潜在靶点的风险基因 SIRP5、CMC1 和 ASAH1。
目的:在全球范围内,结肠腺癌(COAD)是导致癌症相关死亡的主要原因之一。本研究利用单细胞和大块 RNA 测序数据构建了一个新的特殊免疫细胞功能(ICF)风险模型,以对 COAD 有新的认识和临床应用:免疫功能基因组从文献参考中下载,COAD单细胞数据集GSE146771从肿瘤免疫单细胞枢纽数据库中下载。利用 Lasso 分析法,从以不同方式富集的免疫功能基因组的富集得分中提取出多基因特征。然后在多个独立队列中对该特征进行了稳健验证。之后,我们使用 10 倍交叉检验建立了模型,并使用提名图评估了其临床应用的独立性。我们还研究了特征与免疫功能、遗传变异、免疫疗法和癌症免疫微环境之间的联系。最后,我们使用 qPCR 和免疫组化技术检测了未报告模型基因的表达。为了发现未报告模型基因的调控功能,我们采用了EdU检测法:结果:首先,确定了 20 个差异富集的免疫功能基因组。根据 Lasso 回归分析,10 个基因可用作评估结肠癌预后的风险特征。在训练队列和两个独立的 GEO 外部队列中,特征表现都很稳定,风险评分被确认为独立的预后因素。同时,我们的风险模型在不同的临床群组和临床特征(如免疫检查点、肿瘤基因组突变和化疗药物耐药性)中仍然具有很高的预测性。qPCR和免疫组化分析显示,SIRP5在COAD组织中表达较高,而CMC1和ASAH1表达较低。根据功能实验的结果,SIRP5、CMC1 和 ASAH1 可能控制着 CRC 细胞的增殖能力:本研究利用 scRNA-seq 和大量 RNA-seq 数据建立了一个风险模型,用于预测 COAD 患者的预后和免疫疗法的效果。此外,我们还发现了三个以前从未报道过的模型基因(SIRP5、CMC1 和 ASAH1)。这些基因有可能成为结直肠癌(CRC)的新型治疗靶点。这些发现表明,该模型可用于评估 COAD 患者的预后风险并确定潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Current medicinal chemistry
Current medicinal chemistry 医学-生化与分子生物学
CiteScore
8.60
自引率
2.40%
发文量
468
审稿时长
3 months
期刊介绍: Aims & Scope Current Medicinal Chemistry covers all the latest and outstanding developments in medicinal chemistry and rational drug design. Each issue contains a series of timely in-depth reviews and guest edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents. Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important developments.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信