UKE cohort

UKE cohort是卵巢癌转录组数据集,包含181例RNA测序及临床数据,用于识别贝伐珠单抗治疗反应生物标志物。

汉堡大学计算系统生物学研究所汉堡大学计算系统生物学研究所
arXiv
2025-01-09 更新
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多模态q-bio.GN
UKE cohort

基本信息

模态
多模态
创建/更新时间
2025-01-09

资源简介

UKE cohort

【数据集背景】

本数据集源站标题为《arXiv Query: search_query=&id_list=2501.04869v1&start=0&max_results=1》。源站首次发布:2025-01-08。

【数据内容】

源站原始描述:The standard of care for ovarian cancer comprises cytoreductive surgery, followed by adjuvant platinum-based chemotherapy plus taxane therapy and maintenance therapy with the antiangiogenic compound bevacizumab and/or a PARP inhibitor. Nevertheless, there is currently no clear clinical indication for the use of bevacizumab, highlighting the urgent need for biomarkers to assess the response to bevacizumab. In the present study, based on a novel RNA-seq dataset (n=181) and a previously published m…

【主题与分类】

主题标签:q-bio.GN。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://arxiv.org/abs/2501.04869v1

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。

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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。

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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

数据集说明

UKE cohort 对应论文数据集(arXiv 预印本)。

数据获取指引

  1. 打开论文页面获取作者与项目信息:https://arxiv.org/abs/2501.04869v1
  2. 论文 Data Availability / Code Availability 章节标注了数据实际托管位置;
  3. 获取到实际数据链接后,按对应平台标准方式下载。

论文摘要:Abstract:The standard of care for ovarian cancer comprises cytoreductive surgery, followed by adjuvant platinum-based chemotherapy plus taxane therapy and maintenance therapy with the antiangiogenic compound bevacizumab and/or a PARP inhibitor. Nevertheless, there is currently no clear clinical indication for the use of bevacizumab, highlighting the urgent need for biomarkers to assess the response to bevacizumab. In the present study, based on a novel RNA-seq dataset (n=181) and a previously published microarray-based dataset (n=377), we have identified an expression signature potentially associated with benefit from bevacizumab addition and assumed to reflect cancer stemness acquisition driven by activation of CTCFL. Patients with this signature demonstrated improved overall survival when bevacizumab was added to standard chemotherapy in both novel (HR=0.41(0.23-0.74), adj.p-value=7.70e-03) and previously published cohorts (HR=0.51(0.34-0.75), adj.p-value=3.25e-03), while no significant differences in survival explained by treatment were observed in patients negative for this signature. In addition to the CTCFL signature, we found several other reproducible expression signatures which may also represent biomarker candidates not related to established molecular subtypes of ovarian cancer and require further validation studies based on additional RNA-seq data.

论文页面:https://arxiv.org/abs/2501.04869v1

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。

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