中国卵巢癌患者癌症易感基因突变特征表5

包含1171例中国卵巢癌患者171个基因的胚系突变数据,揭示高频易感基因及区域特征,为基因筛查和精准干预提供依据。

NIAID Data Ecosystem
浏览 9
表格cancer genomicscancer susceptibility genestarget capture sequencinggermline mutationsovarian cancer
Table_5_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx

基本信息

模态
表格
大小
0.000026624 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

中国卵巢癌患者癌症易感基因突变特征表5

【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 26.62 KB,主题涵盖 cancer genomics、cancer susceptibility genes、target capture sequencing、germline mutations、ovarian cancer,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_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx》。配套论文《BRCA germline mutations in an unselected nationwide cohort of Chinese patients with ovarian cancer and healthy controls》发表于 Gynecologic Oncology(2018),DOI:10.1016/j.ygyno.2018.07.024。源站首次发布:2024-05-16。

【数据内容】

源站原始描述:IntroductionThe association between mutations in susceptibility genes and the occurrence of ovarian cancer has been extensively studied. Previous research has primarily concentrated on genes involved in the homologous recombination repair pathway, particularly BRCA1 and BRCA2. However, a wider range of genes related to the DNA damage response pathways has not been fully explored. MethodsTo investigate the mutation characteristics of cancer susceptibility genes in the Chinese ovarian cancer popul…

【数据结构与技术规格】

文件数 1 个,合计 26.62 KB。Table_5_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,26.62 KB。数据集 DOI:10.3389/fonc.2024.1395818.s016。

【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:cancer genomics、cancer susceptibility genes、target capture sequencing、germline mutations、ovarian cancer。

【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_Mutation_characteristics_of_cancer_susceptibility_genes_in_Chinese_ovarian_cancer_patients_xlsx/25834735

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

规范引用:Wang, Jie; Fu, Kaiyu; Zhang, Mengpei; Liang, Lunggang; Ni, Meng; Sun, Hai-Xi; et al. (2024). Table_5_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx. Frontiers. Dataset

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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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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)

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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_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx" "https://ndownloader.figshare.com/files/46361419"

文件清单

  • Table_5_Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.xlsx(26.62 KB)

文件总体积 26.62 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

IntroductionThe association between mutations in susceptibility genes and the occurrence of ovarian cancer has been extensively studied. Previous research has primarily concentrated on genes involved in the homologous recombination repair pathway, particularly BRCA1 and BRCA2. However, a wider range of genes related to the DNA damage response pathways has not been fully explored.
MethodsTo investigate the mutation characteristics of cancer susceptibility genes in the Chinese ovarian cancer population and the associations between gene mutations and clinical data, this study initially gathered a total of 1171 Chinese ovarian cancer samples and compiled a dataset of germline mutations in 171 genes.
ResultsIn this study, it was determined that MC1R and PRKDC were high-frequency ovarian cancer susceptibility genes in the Chinese population, exhibiting notable distinctions from those in European and American populations; moreover high-frequency mutation genes, such as MC1R: c.359T>C and PRKDC: c.10681T>A, typically had high-frequency mutation sites. Furthermore, we identified c.8187G>T as a characteristic mutation of BRCA2 in the Chinese population, and the CHEK2 mutation was significantly associated with the early onset of ovarian cancer, while the CDH1 and FAM175A mutations were more prevalent in Northeast China. Additionally, Fanconi anemia pathway-related genes were significantly associated with ovarian carcinogenesis.
ConclusionIn summary, this research provided fundamental data support for the optimization of ovarian cancer gene screening policies and the determination of treatment, and contributed to the precise intervention and management of patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2024.1395818.s016(source: https://frontiersin.figshare.com/articles/dataset/Table_5_Mutation_characteristics_of_cancer_susceptibility_genes_in_Chinese_ovarian_cancer_patients_xlsx/25834735)。

数据缺失?

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