Inferring Homologous Recombination Deficiency of Ovarian Cancer 数据集（表6）
该数据集包含卵巢癌患者的拷贝数变异数据，用于从亚染色体和基因分辨率推断同源重组缺陷（HRD），涵盖AOCS和TCGA队列，助力个性化治疗。
基本信息
资源简介
Inferring Homologous Recombination Deficiency of Ovarian Cancer 数据集（表6）
【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 11.75 KB，主题涵盖 homologous recombination deficiency、copy number variation、ovarian cancer、biomarker、chromosome，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_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Resolutions.xlsx》。配套论文《Pan-cancer landscape of homologous recombination deficiency》发表于 Nature Communications（2020），DOI：10.1038/s41467-020-19406-4。源站首次发布：2021-12-16。
【数据内容】
源站原始描述：BackgroundHomologous recombination deficiency (HRD) is characterized by overall genomic instability and has emerged as an indispensable therapeutic target across various tumor types, particularly in ovarian cancer (OV). Unfortunately, current detection assays are far from perfect for identifying every HRD patient. The purpose of this study was to infer HRD from the landscape of copy number variation (CNV). MethodsGenome-wide CNV landscape was measured in OV patients from the Australian Ovarian C…
【数据结构与技术规格】
文件数 1 个，合计 11.75 KB。Table_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Reso.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，11.75 KB。数据集 DOI：10.3389/fonc.2021.772604.s008。
【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：homologous recombination deficiency、copy number variation、ovarian cancer、biomarker、chromosome。
【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_6_Inferring_Homologous_Recombination_Deficiency_of_Ovarian_Cancer_From_the_Landscape_of_Copy_Number_Variation_at_Subchromosomal_and_Genetic_Resolutions_xlsx/17211086
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Zhang, Meng; Ma, Si-Cong; Tan, Jia-Le; Wang, Jian; Bai, Xue; Dong, Zhong-Yi; et al. (2021). Table_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Resolutions.xlsx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-08，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Table_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Resolutions.xlsx
- DOI：10.3389/fonc.2021.772604.s008
- 发布日期：2021-12-16
- 文件数：1 个
- 文件总体积：11.75 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_6_Inferring_Homologous_Recombination_Deficiency_of_Ovarian_Cancer_From_the_Landscape_of_Copy_Number_Variation_at_Subchromosomal_and_Genetic_Resolutions_xlsx/17211086
命令行下载
curl -L -o "Table_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Reso.xlsx" "https://ndownloader.figshare.com/files/31807643"
文件清单
Table_6_Inferring Homologous Recombination Deficiency of Ovarian Cancer From the Landscape of Copy Number Variation at Subchromosomal and Genetic Reso.xlsx（11.75 KB）
文件总体积 11.75 KB（源站 API 实测）。
数据说明
BackgroundHomologous recombination deficiency (HRD) is characterized by overall genomic instability and has emerged as an indispensable therapeutic target across various tumor types, particularly in ovarian cancer (OV). Unfortunately, current detection assays are far from perfect for identifying every HRD patient. The purpose of this study was to infer HRD from the landscape of copy number variation (CNV).
MethodsGenome-wide CNV landscape was measured in OV patients from the Australian Ovarian Cancer Study (AOCS) clinical cohort and >10,000 patients across 33 tumor types from The Cancer Genome Atlas (TCGA). HRD-predictive CNVs at subchromosomal resolution were identified through exploratory analysis depicting the CNV landscape of HRD versus non-HRD OV patients and independently validated using TCGA and AOCS cohorts. Gene-level CNVs were further analyzed to explore their potential predictive significance for HRD across tumor types at genetic resolution.
ResultsAt subchromosomal resolution, 8q24.2 amplification and 5q13.2 deletion were predominantly witnessed in HRD patients (both p The CNV landscape serves as a generalized predictor of HRD in cancer patients not limited to OV. The detection of CNV at subchromosomal or genetic resolution could aid in the personalized treatment of HRD patients.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2021.772604.s008（source: https://frontiersin.figshare.com/articles/dataset/Table_6_Inferring_Homologous_Recombination_Deficiency_of_Ovarian_Cancer_From_the_Landscape_of_Copy_Number_Variation_at_Subchromosomal_and_Genetic_Resolutions_xlsx/17211086）。
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