结合基因组和功能方法揭示卵巢癌HRD评估的复杂性：MITO16-MaNGO-OV-2试验的转化分析

资源简介

结合基因组和功能方法揭示卵巢癌HRD评估的复杂性：MITO16-MaNGO-OV-2试验的转化分析

【数据集背景】

本数据集源站标题为《Unraveling the complexity of HRD assessment in ovarian cancer by combining genomic and functional approaches: translational analyses of MITO16-MaNGO-OV-2 Trial》。源站首次发布：2024-12-06。

【数据内容】

源站原始描述：Ovarian cancer (OvC) constitutes significant management challenges primarily due to its late-stage diagnosis and the development of resistance to chemotherapy. The standard treatment regimen typically includes carboplatin and paclitaxel, with the addition of PARP inhibitors (PARPi) for patients with high-grade serous ovarian cancer (HGSOC) harboring BRCA1/2 mutations. However, the variability in treatment responses suggests the need to investigate factors beyond BRCA1/2 mutations, such as DNA re…

【数据结构与技术规格】

数据集 DOI：10.5281/zenodo.14288047。

【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://zenodo.org/records/14288047

使用许可：cc-by-4.0。

【使用注意】

· 源站最后修改于 2024-12-11，引用时请注意版本时效。