结肠腺癌染色质调控因子预后签名开发与验证表1

包含结肠腺癌染色质调控因子表达谱数据,用于开发并验证12个基因的预后签名模型,可预测总生存期并评估免疫和药物反应。

NIAID Data Ecosystem
浏览 16
表格colon adenocarcinomachromatin regulatorTCGAprognosticimmune infiltration
Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX

基本信息

模态
表格
大小
0.000011287 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

结肠腺癌染色质调控因子预后签名开发与验证表1

【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 11.29 KB,主题涵盖 colon adenocarcinoma、chromatin regulator、TCGA、prognostic、immune infiltration,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《Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX》。源站首次发布:2022-11-23。

【数据内容】

源站原始描述:Aberrant expression of chromatin regulators (CRs) could lead to the development of various diseases including cancer. However, the biological function and prognosis role of CRs in colon adenocarcinoma (COAD) remains unclear. We performed the clustering analyses for expression profiling of COAD downloaded from The Cancer Genome Atlas. We developed a chromatin regulator prognostic model, which was validated in an independent cohort data. Time-intendent receiver operating characteristics curve was…

【数据结构与技术规格】

文件数 1 个,合计 11.29 KB。Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,11.29 KB。数据集 DOI:10.3389/fgene.2022.986325.s001。

【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:colon adenocarcinoma、chromatin regulator、TCGA、prognostic、immune infiltration。

【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/Table1_Development_and_validation_of_a_chromatin_regulator_prognostic_signature_in_colon_adenocarcinoma_XLSX/21607242

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

规范引用:Yang, Wenlong; Luo, Chenhua; Chen, Shan (2022). Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-21,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 "Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX" "https://ndownloader.figshare.com/files/38298600"

文件清单

  • Table1_Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.XLSX(11.29 KB)

文件总体积 11.29 KB(源站 API 实测)。

数据说明

Aberrant expression of chromatin regulators (CRs) could lead to the development of various diseases including cancer. However, the biological function and prognosis role of CRs in colon adenocarcinoma (COAD) remains unclear. We performed the clustering analyses for expression profiling of COAD downloaded from The Cancer Genome Atlas. We developed a chromatin regulator prognostic model, which was validated in an independent cohort data. Time-intendent receiver operating characteristics curve was used to evaluate predict ability of model. Univariate and multivariate cox regression were used to assess independence of risk score. Nomogram was established to assess individual risk. Gene ontology, and Kyoto Encyclopedia of genes and genomes, gene set variation analysis and gene set enrichment analysis were performed to explore the function of CRs. Immune infiltration and drug sensitivity were also performed to assess effect of CRs on treatment in COAD. COAD can be separated into two subtypes with different clinical characteristics and prognosis. The C2 had elevated immune infiltration levels and low tumor purity. Using 12 chromatin regulators, we developed and validated a prognostic model that can predict the overall survival of COAD patients. We built a risk score that can be an independent prognosis predictor of COAD. The nomogram score system achieved the best predict ability and were also confirmed by decision curve analysis. There were significantly different function and pathway enrichment, immune infiltration levels, and tumor mutation burden between high-risk and low-risk group. The external validation data also indicated that high-risk group had higher stable disease/progressive disease response rate and poorer prognosis than low-risk group. Besides, the signature genes included in the model could cause chemotherapy sensitivity to some small molecular compounds. Our integrative analyses for chromatin regulators could provide new insights for the risk management and individualized treatment in COAD.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgene.2022.986325.s001(source: https://frontiersin.figshare.com/articles/dataset/Table1_Development_and_validation_of_a_chromatin_regulator_prognostic_signature_in_colon_adenocarcinoma_XLSX/21607242)。

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