基于二硫下垂相关签名改善膀胱癌患者生存和药物敏感性的表格数据

包含十个二硫下垂相关基因的预后模型,用于预测膀胱癌患者生存和药物敏感性。

NIAID Data Ecosystem
浏览 28
表格disulfidptosisbladder cancermolecular clusterstumor immune microenvironmentprognostic modelPOU5F1CTSE
Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx

基本信息

模态
表格
大小
0.000010503 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

基于二硫下垂相关签名改善膀胱癌患者生存和药物敏感性的表格数据

【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 10.50 KB,主题涵盖 disulfidptosis、bladder cancer、molecular clusters、tumor immune microenvironment、prognostic model,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《Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx》。配套论文《Crosstalk between Mesenchymal Stem Cells and Cancer Stem Cells Reveals a Novel Stemness-Related Signature to Predict Prognosis and Immunotherapy Responses for Bladder Cancer Patients》发表于 International Journal of Molecular Sciences(2023),DOI:10.3390/ijms24054760。源站首次发布:2023-05-31。

【数据内容】

源站原始描述:BackgroundDisulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood. MethodsDisulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was established and verified in various datasets. A series of experiments including qRT-PCR, immunoblotting, IHC, CCK-8, EdU, wound-healing, transwell, dual-luciferase reporter, and ChIP assays were used to study…

【数据结构与技术规格】

文件数 1 个,合计 10.50 KB。Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,10.50 KB。数据集 DOI:10.3389/fimmu.2023.1198878.s006。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:disulfidptosis、bladder cancer、molecular clusters、tumor immune microenvironment、prognostic model、POU5F1、CTSE。

【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/Table_5_Leveraging_a_disulfidptosis-based_signature_to_improve_the_survival_and_drug_sensitivity_of_bladder_cancer_patients_xlsx/23268755

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

规范引用:Chen, Hualin; Yang, Wenjie; Li, Yingjie; Ma, Lin; Ji, Zhigang (2023). Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx. Frontiers. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx" "https://ndownloader.figshare.com/files/41012009"

文件清单

  • Table_5_Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients.xlsx(10.50 KB)

文件总体积 10.50 KB(源站 API 实测)。

数据说明

BackgroundDisulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood.
MethodsDisulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was established and verified in various datasets. A series of experiments including qRT-PCR, immunoblotting, IHC, CCK-8, EdU, wound-healing, transwell, dual-luciferase reporter, and ChIP assays were used to study the biological functions.
ResultsWe identified two DRG clusters, which exhibited distinct clinicopathological features, prognosis, and tumor immune microenvironment (TIME) landscapes. A DRG prognostic model with ten features (DCBLD2, JAM3, CSPG4, SCEL, GOLGA8A, CNTN1, APLP1, PTPRR, POU5F1, CTSE) was established and verified in several external datasets in terms of prognosis and immunotherapy response prediction. BCa patients with high DRG scores may be characterized by declined survival, inflamed TIME, and elevated tumor mutation burden. Besides, the correlation between DRG score and immune checkpoint genes and chemoradiotherapy-related genes indicated the implication of the model in personalized therapy. Furthermore, random survival forest analysis was performed to select the top important features within the model: POU5F1 and CTSE. qRT-PCR, immunoblotting, and immunohistochemistry assays showed the enhanced expression of CTSE in BCa tumor tissues. A series of phenotypic assays revealed the oncogenetic roles of CTSE in BCa cells. Mechanically, POU5F1 can transactivate CTSE, promoting BCa cell proliferation and metastasis.
ConclusionsOur study highlighted the disulfidptosis in the regulation of tumor progression, sensitivity to therapy, and survival of BCa patients. POU5F1 and CTSE may be potential therapeutic targets for the clinical treatment of BCa.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2023.1198878.s006(source: https://frontiersin.figshare.com/articles/dataset/Table_5_Leveraging_a_disulfidptosis-based_signature_to_improve_the_survival_and_drug_sensitivity_of_bladder_cancer_patients_xlsx/23268755)。

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。

获取专属数据定制方案