基于九共识预后基因的胃癌预后签名表格数据

基于九个共识预后基因的胃癌预后签名表格数据,用于风险分层和治疗策略预测。

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表格immunotherapyprognostic signaturegastric cancerchemothearpyvalidation
Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different clinical outcomes and therapeutic strategies.XLSX

基本信息

模态
表格
大小
0.000086825 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

基于九共识预后基因的胃癌预后签名表格数据

【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 86.83 KB,主题涵盖 immunotherapy、prognostic signature、gastric cancer、chemothearpy、validation,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】

本数据集源站标题为《Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different clinical outcomes and therapeutic strategies.XLSX》。配套论文《Gene Expression Signature–Based Prognostic Risk Score in Gastric Cancer》发表于 Clinical Cancer Research(2011),DOI:10.1158/1078-0432.CCR-10-2180。源站首次发布:2022-09-26。

【数据内容】

源站原始描述:Background: The increasing prevalence and mortality of gastric cancer (GC) has promoted the urgent need for prognostic signatures to predict the long-term risk and search for therapeutic biomarkers. Methods and materials: A total of 921 GC patients from three GEO cohorts were enrolled in the current study. The GSE15459 and GSE62254 cohorts were used to select the top prognostic gene via the evaluation of the area under the receiver operating characteristic (ROC) curve (AUC) values. The GSE84437…

【数据结构与技术规格】

文件数 1 个,合计 86.83 KB。Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different .XLSX:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,86.83 KB。数据集 DOI:10.3389/fgene.2022.909175.s005。

【主题与分类】

源站学科分类:Gene and Molecular Therapy、Gene Expression (incl. Microarray and other genome-wide approaches)、Genetics、Genetically Modified Animals、Livestock Cloning、Developmental Genetics (incl. Sex Determination)。主题标签:immunotherapy、prognostic signature、gastric cancer、chemothearpy、validation。

【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/Table4_A_nine_consensus_prognostic_gene_based_prognostic_signature_recognizing_the_dichotomized_subgroups_of_gastric_cancer_patients_with_different_clinical_outcomes_and_therapeutic_strategies_XLSX/21204284

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

规范引用:Ji, Dan; Yang, Yang; Zhou, Fei; Li, Chao (2022). Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different clinical outcomes and therapeutic strategies.XLSX. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-16,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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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different .XLSX" "https://ndownloader.figshare.com/files/37596176"

文件清单

  • Table4_A nine–consensus–prognostic –gene–based prognostic signature, recognizing the dichotomized subgroups of gastric cancer patients with different .XLSX(86.83 KB)

文件总体积 86.83 KB(源站 API 实测)。

数据说明

Background: The increasing prevalence and mortality of gastric cancer (GC) has promoted the urgent need for prognostic signatures to predict the long-term risk and search for therapeutic biomarkers.
Methods and materials: A total of 921 GC patients from three GEO cohorts were enrolled in the current study. The GSE15459 and GSE62254 cohorts were used to select the top prognostic gene via the evaluation of the area under the receiver operating characteristic (ROC) curve (AUC) values. The GSE84437 cohort was used as the external validation cohort. Least absolute shrinkage and selector operation (LASSO) regression analysis was applied to reduce the feature dimension and construct the prognostic signature. Furthermore, a nomogram was constructed by integrating the independent prognostic analysis and validated by calibration plot, decision curve analysis and clinical impact curve. The molecular features and response to chemo-/immunotherapy among risk subgroups were evaluated by the “MOVICS” and “ESTAMATE” R packages and the SubMap algorithm. Lauren classification and ACRG molecular subtype were obtained to compare with the risk model.
Results: Forty-four prognosis-associated genes were identified with a preset cutoff AUC value of 0.65 in both the GSE62254 and GSE15459 cohorts. With the 10-fold cross validation analysis of LASSO, nine genes were selected to construct the nine-consensus-prognostic-gene signature. The signature showed good prognostic value in the GSE62254 (p Conclusion: In summary, we constructed a robust nine-consensus-prognostic-gene signature for the prediction of GC prognosis, which can also predict the personalized treatment of GC patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgene.2022.909175.s005(source: https://frontiersin.figshare.com/articles/dataset/Table4_A_nine_consensus_prognostic_gene_based_prognostic_signature_recognizing_the_dichotomized_subgroups_of_gastric_cancer_patients_with_different_clinical_outcomes_and_therapeutic_strategies_XLSX/21204284)。

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