基于坏死性凋亡相关长链非编码RNA的透明细胞肾细胞癌预后标志物数据集
基于TCGA的ccRCC患者RNA-seq和临床数据,构建25个nrlncRNAs对的预后标志物。

基本信息
资源简介
基于坏死性凋亡相关长链非编码RNA的透明细胞肾细胞癌预后标志物数据集
【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 38.24 KB,主题涵盖 signature、long noncoding RNA、necroptosis、prognosis、clear cell renal cell carcinoma,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_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx》。配套论文《A Novel Prognostic Predictor of Immune Microenvironment and Therapeutic Response in Kidney Renal Clear Cell Carcinoma based on Necroptosis-related Gene Signature》发表于 International Journal of Medical Sciences(2022),DOI:10.7150/ijms.69060。源站首次发布:2022-09-21。
【数据内容】
源站原始描述:Background: The incidence of clear cell renal cell carcinoma (ccRCC) is high and has increased gradually in recent years. At present, due to the lack of effective prognostic indicators, the prognosis of ccRCC patients is greatly affected.Necroptosis is a type of cell death, and along with cell necrosis is considered a new cancer treatment strategy. The aim of this study was to construct a new marker for predicting the prognosis of ccRCC patients based on long non-coding RNA (nrlncRNAs) associate…
【数据结构与技术规格】
文件数 1 个,合计 38.24 KB。Table1_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx:undefined,38.24 KB。数据集 DOI:10.3389/fgene.2022.948254.s002。
【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:signature、long noncoding RNA、necroptosis、prognosis、clear cell renal cell carcinoma。
【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_A_novel_marker_based_on_necroptosis-related_long_non-coding_RNA_for_forecasting_prognostic_in_patients_with_clear_cell_renal_cell_carcinoma_xlsx/21172630
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Lv, Jinxing; Xu, Qinghui; Wu, Guoqing; Hou, Jian; Yang, Guang; Tang, Cheng; et al. (2022). Table1_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
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。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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)
- 源站标题:Table1_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx
- DOI:10.3389/fgene.2022.948254.s002
- 发布日期:2022-09-21
- 文件数:1 个
- 文件总体积:38.24 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table1_A_novel_marker_based_on_necroptosis-related_long_non-coding_RNA_for_forecasting_prognostic_in_patients_with_clear_cell_renal_cell_carcinoma_xlsx/21172630
命令行下载
curl -L -o "Table1_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx" "https://ndownloader.figshare.com/files/37544671"
文件清单
Table1_A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma.xlsx(38.24 KB)
文件总体积 38.24 KB(源站 API 实测)。
数据说明
Background: The incidence of clear cell renal cell carcinoma (ccRCC) is high and has increased gradually in recent years. At present, due to the lack of effective prognostic indicators, the prognosis of ccRCC patients is greatly affected.Necroptosis is a type of cell death, and along with cell necrosis is considered a new cancer treatment strategy. The aim of this study was to construct a new marker for predicting the prognosis of ccRCC patients based on long non-coding RNA (nrlncRNAs) associated with necroptosis.
Methods: RNA sequence data and clinical information of ccRCC patients from the Cancer Genome Atlas database (TCGA) were downloaded. NrlncRNA was identified by Pearson correlation study. The differentially expressed nrlncRNA and nrlncRNA pairs were identified by univariate Cox regression and Lasso-Cox regression. Finally, a Kaplan-Meier survival study, Cox regression, clinicopathological features correlation study, and receiver operating characteristic (ROC) spectrum were used to evaluate the prediction ability of 25-nrlncrnas for markers. In addition, correlations between the risk values and sensitivity to tumor-infiltrating immune cells, immune checkpoint inhibitors, and targeted drugs were also investigated.
Results: In the current research, a novel marker of 25-nrlncRNAs pairs was developed to improve prognostic prediction in patients with ccRCC. Compared with clinicopathological features, nrlncRNAs had a higher diagnostic validity for markers, with the 1-year, 3-years, and 5-years operating characteristic regions being 0.902, 0.835, and 0.856, respectively, and compared with the stage of 0.868, an increase of 0.034. Cox regression and stratified survival studies showed that this marker could be an independent predictor of ccRCC patients. In addition, patients with different risk scores had significant differences in tumor-infiltrating immune cells, immune checkpoint, and semi-inhibitory concentration of targeted drugs. The feature could be used to evaluate the clinical efficacy of immunotherapy and targeted drug therapy.
Conclusion: 25-nrlncRNAs pair markers may help to evaluate the prognosis and molecular characteristics of ccRCC patients, which i
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fgene.2022.948254.s002(source: https://frontiersin.figshare.com/articles/dataset/Table1_A_novel_marker_based_on_necroptosis-related_long_non-coding_RNA_for_forecasting_prognostic_in_patients_with_clear_cell_renal_cell_carcinoma_xlsx/21172630)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




