基于自噬相关lncRNA的甲状腺乳头状癌综合风险评估与分层模型数据集
包含基于自噬相关lncRNA的甲状腺乳头状癌风险评估与分层模型数据,包括基因表达谱和CRNDE实验数据。

基本信息
资源简介
基于自噬相关lncRNA的甲状腺乳头状癌综合风险评估与分层模型数据集
【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 3.79 MB,主题涵盖 Autophagy、LncRNA、Papillary thyroid carcinoma、Prognosis、Sorafenib,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《DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx》。配套论文《Increased incidence of differentiated thyroid carcinoma and detection of subclinical disease》发表于 Canadian Medical Association Journal(2007),DOI:10.1503/cmaj.061730。源站首次发布:2022-02-24。
【数据内容】
源站原始描述:BackgroundPapillary thyroid carcinoma (PTC) is one of the most common malignant carcinomas in the endocrine system, and it has a growing incidence worldwide. Despite the development of diagnosis and treatment modalities for thyroid carcinoma, the outcome remains uncertain. Autophagy participates in the process of cancer invasion, malignancy, metastasis, and drug resistance. Emerging research has shown that long noncoding RNAs (lncRNAs) play an important role in the process of different types of…
【数据结构与技术规格】
文件数 1 个,合计 3.79 MB。DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,3.79 MB。数据集 DOI:10.3389/fonc.2021.771556.s001。
【主题与分类】
源站学科分类:Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签:Autophagy、LncRNA、Papillary thyroid carcinoma、Prognosis、Sorafenib。
【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/DataSheet_1_A_Comprehensive_Risk_Assessment_and_Stratification_Model_of_Papillary_Thyroid_Carcinoma_Based_on_the_Autophagy-Related_LncRNAs_docx/19227480
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Mu, Yongrun; Song, Fuling; Yuan, Kai; Zhang, Zili; Lu, Yan; Fu, Rongzhan; et al. (2022). DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,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:DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx
- DOI:10.3389/fonc.2021.771556.s001
- 发布日期:2022-02-24
- 文件数:1 个
- 文件总体积:3.79 MB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_A_Comprehensive_Risk_Assessment_and_Stratification_Model_of_Papillary_Thyroid_Carcinoma_Based_on_the_Autophagy-Related_LncRNAs_docx/19227480
命令行下载
curl -L -o "DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx" "https://ndownloader.figshare.com/files/34153791"
文件清单
DataSheet_1_A Comprehensive Risk Assessment and Stratification Model of Papillary Thyroid Carcinoma Based on the Autophagy-Related LncRNAs.docx(3.79 MB)
文件总体积 3.79 MB(源站 API 实测)。
数据说明
BackgroundPapillary thyroid carcinoma (PTC) is one of the most common malignant carcinomas in the endocrine system, and it has a growing incidence worldwide. Despite the development of diagnosis and treatment modalities for thyroid carcinoma, the outcome remains uncertain. Autophagy participates in the process of cancer invasion, malignancy, metastasis, and drug resistance. Emerging research has shown that long noncoding RNAs (lncRNAs) play an important role in the process of different types of cancers. However, the interaction between the process of autophagy and lncRNA and the value of autophagy-related lncRNA for risk assessment, prediction of drug sensitivity, and prognosis prediction in PTC patients remains unknown.
Materials and MethodsWe screened 1,283 autophagy-related lncRNAs and identified 144 lncRNAs with prognostic value in The Cancer Genome Atlas (TCGA) cohorts. Univariate and multivariate Cox regression analyses were used to establish the prognosis-related autophagy-related lncRNA risk classification consisting of 10 lncRNAs to indicate the level of risk, according to which the patients were grouped into high-risk group and low risk-group.
ResultsThe high-risk group had dramatically worse overall survival compared with the low-risk group. Cox regression analysis was performed to confirm the independent prognostic value of the autophagy-related lncRNA risk stratification, and the time-dependent receiver operating characteristic curves of the risk stratification were 0.981 (1 year), 0.906 (3 years), and 0.963 (5 years). LncRNA CRNDE (LINC00180) is overexpressed in the tumor, and its high expression matched with poorer survival state. So, we chose it for further experiment. Finally, knockdown of the CRNDE in PTC increased the sensitivity to sorafenib.
ConclusionCollectively, we successfully established a novel risk stratification for PTC based on the expression profiles of autophagy-related lncRNAs.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2021.771556.s001(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_A_Comprehensive_Risk_Assessment_and_Stratification_Model_of_Papillary_Thyroid_Carcinoma_Based_on_the_Autophagy-Related_LncRNAs_docx/19227480)。
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