胃癌DNA损伤修复通路谱与抗肿瘤免疫患者水平数据表

该数据集包含2019例胃癌样本的DNA损伤修复通路活性谱,用于分析DDR通路与预后、免疫及治疗反应的关系。

NIAID Data Ecosystem
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表格DNA damage repairgastric cancerprognosistumor microenvironmentchemotherapyimmunotherapy
Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer

基本信息

模态
表格
大小
0.000220429 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

胃癌DNA损伤修复通路谱与抗肿瘤免疫患者水平数据表

【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 220.43 KB,主题涵盖 DNA damage repair、gastric cancer、prognosis、tumor microenvironment、chemotherapy,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_2_Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer.xlsx》。配套论文《Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas》发表于 Cell Reports(2018),DOI:10.1016/j.celrep.2018.03.076。源站首次发布:2022-01-10。

【数据内容】

源站原始描述:DNA damage repair (DDR) comprises the detection and correction of alterations in the chemical structure of DNA. The dysfunction of the DDR process has been determined to have important implications for tumor carcinogenesis, malignancy progression, treatment resistance, and prognosis assessment. However, the role of the DDR process in gastric cancer (GC) remains to be fully understood. Thus, a total of 2,019 GC samples from our hospital (Harbin Medical University Cancer Hospital in china) and 12…

【数据结构与技术规格】

文件数 1 个,合计 220.43 KB。Table_2_Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,220.43 KB。数据集 DOI:10.3389/fimmu.2021.806324.s007。

【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:DNA damage repair、gastric cancer、prognosis、tumor microenvironment、chemotherapy、immunotherapy。

【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_2_Patient-Level_DNA_Damage_Repair_Pathway_Profiles_and_Anti-Tumor_Immunity_for_Gastric_Cancer_xlsx/18094799

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

规范引用:Lou, Shenghan; Wang, Yufei; Zhang, Jian; Yin, Xin; Zhang, Yao; Wang, Yimin; et al. (2022). Table_2_Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer.xlsx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-07,引用时请注意版本时效。

官方服务

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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。

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_2_Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer.xlsx" "https://ndownloader.figshare.com/files/32835323"

文件清单

  • Table_2_Patient-Level DNA Damage Repair Pathway Profiles and Anti-Tumor Immunity for Gastric Cancer.xlsx(220.43 KB)

文件总体积 220.43 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

DNA damage repair (DDR) comprises the detection and correction of alterations in the chemical structure of DNA. The dysfunction of the DDR process has been determined to have important implications for tumor carcinogenesis, malignancy progression, treatment resistance, and prognosis assessment. However, the role of the DDR process in gastric cancer (GC) remains to be fully understood. Thus, a total of 2,019 GC samples from our hospital (Harbin Medical University Cancer Hospital in china) and 12 public data sets were included in our study. In this study, single-sample gene set enrichment analysis (ssGSEA) was used to generate the DDR pathway activity profiles of 8 DDR sub-pathways and identify a DDR pathway signature by combining the DDR sub-pathway gene sets. The DDR pathway profiling’s impacts on the clinical outcomes, biological functions, genetic variants, immune heterogeneity, and treatment responses were analyzed through multidimensional genomics and clinical data. The results demonstrate that the DDR pathway profiling was clearly distinguished between tumor and normal tissues. The DDR pathway profiling reveals patient-level variations, which may contribute to explaining the high heterogeneity of human GC for the biological features and treatment outcomes. Thus, tumors with low DDR signature scores were independently correlated with shorter overall survival time and significantly associated with mesenchymal, invasion, and metastasis phenotypes. The statistical model integrating this DDR pathway signature with other clinical predictors outperforms each predictor alone for predicting overall survival in discrimination, calibration, and net clinical benefit. Moreover, low DDR signature scores were tightly associated with genome stability, characterized by low tumor mutational burden (TMB) and low fractions of genome alteration. Furthermore, this study confirms that patients with low DDR pathway signature scores might not benefit from adjuvant chemotherapy and a monoclonal antibody directed against programmed cell death-1 ligand 1 (anti-PD1) therapy. These findings highlighted that the DDR pathway profiling confers important implications for patients with GC an

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2021.806324.s007(source: https://frontiersin.figshare.com/articles/dataset/Table_2_Patient-Level_DNA_Damage_Repair_Pathway_Profiles_and_Anti-Tumor_Immunity_for_Gastric_Cancer_xlsx/18094799)。

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