table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx

包含宫颈鳞状细胞癌三个免疫相关基因表达及预后信息的表格数据,用于预后预测和免疫治疗反应评估。

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表格cervical squamous cell carcinomaimmune cells infiltrationprognosisimmunotherapy sensitivity
table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx

基本信息

模态
表格
大小
0.000058444 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 58.44 KB,主题涵盖 cervical squamous cell carcinoma、immune cells infiltration、prognosis、immunotherapy sensitivity,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

源站首次发布:2021-03-03。

【数据内容】

源站原始描述:Background: Cervical squamous cell carcinoma (CESC) is one of the most frequent malignancies in women worldwide. The level of immune cell infiltration and immune-related genes (IRGs) can significantly affect the prognosis and immunotherapy of CESC patients. Thus, this study aimed to identify an immune-related prognostic signature for CESC. Methods: TCGA-CESC cohorts, obtained from TCGA database, were divided into the training group and testing group; while GSE44001 dataset from GEO database was…

【数据结构与技术规格】

文件数 1 个,合计 58.44 KB。table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,58.44 KB。数据集 DOI:10.3389/fmolb.2021.625470.s009。

【主题与分类】

源站学科分类:Biochemistry、Molecular Biology、Enzymes、Protein Trafficking、Proteomics and Intermolecular Interactions (excl. Medical Proteomics)、Receptors and Membrane Biology。主题标签:cervical squamous cell carcinoma、immune cells infiltration、prognosis、immunotherapy sensitivity。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/table2_Exploration_of_a_Robust_and_Prognostic_Immune_Related_Gene_Signature_for_Cervical_Squamous_Cell_Carcinoma_xlsx/14151959

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Zuo, Zhihua; Xiong, Junjun; Zeng, Chuyi; Jiang, Yao; Xiong, Kang; Tao, Hualin; et al. (2021). table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-04,引用时请注意版本时效。

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下载信息

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需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx" "https://ndownloader.figshare.com/files/26673881"

文件清单

  • table2_Exploration of a Robust and Prognostic Immune Related Gene Signature for Cervical Squamous Cell Carcinoma.xlsx(58.44 KB)

文件总体积 58.44 KB(源站 API 实测)。

数据说明

Background: Cervical squamous cell carcinoma (CESC) is one of the most frequent malignancies in women worldwide. The level of immune cell infiltration and immune-related genes (IRGs) can significantly affect the prognosis and immunotherapy of CESC patients. Thus, this study aimed to identify an immune-related prognostic signature for CESC.
Methods: TCGA-CESC cohorts, obtained from TCGA database, were divided into the training group and testing group; while GSE44001 dataset from GEO database was viewed as external validation group. ESTIMATE algorithm was applied to evaluate the infiltration levels of immune cells of CESC patients. IRGs were screened out through weighted gene co-expression network analysis (WGCNA). A multi-gene prognostic signature based on IRGs was constructed using LASSO penalized Cox proportional hazards regression, which was validated through Kaplan–Meier, Cox, and receiver operating characteristic curve (ROC) analyses. The abundance of immune cells was calculated using ssGSEA algorithm in the ImmuCellAI database, and the response to immunotherapy was evaluated using immunophenoscore (IPS) analysis and the TIDE algorithm.
Results: In TCGA-CESC cohorts, higher levels of immune cell infiltration were closely associated with better prognoses. Moreover, a prognostic signature was constructed using three IRGs. Based on this given signature, Kaplan–Meier analysis suggested the significant differences in overall survival (OS) and the ROC analysis demonstrated its robust predictive potential for CESC prognosis, further confirmed by internal and external validation. Additionally, multivariate Cox analysis revealed that the three IRGs signature served as an independent prognostic factor for CESC. In the three-IRGs signature low-risk group, the infiltrating immune cells (B cells, CD4/8 + T cells, cytotoxic T cells, macrophages and so on) were much more abundant than that in high-risk group. Ultimately, IPS and TIDE analyses showed that low-risk CESC patients appeared to present with a better response to immunotherapy and a better prognosis than high-risk patients.
Conclusion: The present prognostic signature based on three IRGs (CD3E, CD3D, LCK) was not

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmolb.2021.625470.s009(source: https://frontiersin.figshare.com/articles/dataset/table2_Exploration_of_a_Robust_and_Prognostic_Immune_Related_Gene_Signature_for_Cervical_Squamous_Cell_Carcinoma_xlsx/14151959)。

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