新型思考：DDR轴细化ccRCC分类，具有独特预后、多组学图谱和管理策略

数据集获取（Figshare）

• 源站标题：Data_Sheet_2_A novel thinking: DDR axis refines the classification of ccRCC with distinctive prognosis, multi omics landscape and management strategy.CSV
• DOI：10.3389/fpubh.2022.1029509.s002
• 发布日期：2022-11-21
• 文件数：1 个
• 文件总体积：1.45 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_A_novel_thinking_DDR_axis_refines_the_classification_of_ccRCC_with_distinctive_prognosis_multi_omics_landscape_and_management_strategy_CSV/21589749

命令行下载

curl -L -o "Data_Sheet_2_A novel thinking: DDR axis refines the classification of ccRCC with distinctive prognosis, multi omics landscape and management strategy.CSV" "https://ndownloader.figshare.com/files/38266338"

文件清单

• Data_Sheet_2_A novel thinking: DDR axis refines the classification of ccRCC with distinctive prognosis, multi omics landscape and management strategy.CSV（1.45 KB）

文件总体积 1.45 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

BackgroundDNA damage response and repair (DDR) related signatures play an important role in maintaining genome stability and other biological processes. It also affects the occurrence, development, and treatment of cancer. However, in renal cell carcinoma (RCC), especially clear cell renal carcinoma (ccRCC), the potential association between DDR-related signatures and tumor heterogeneity and tumor microenvironment (TME) remains unclear.
MethodsUtilizing unsupervised clustering algorithm, we divided RCC into two subgroups, DCS1 and DCS2, according to the differences in DDR gene expression, and compared the characteristics of the two subgroups through multiple dimensions.
ResultsCompared with DCS1, DCS2 patients have higher clinical stage/grade and worse prognosis, which may be related to active metabolic status and immunosuppression status. At the same time, the high mutation rate in DCS2 may also be an important reason for the prognosis. We also analyzed the sensitivity of the two subgroups to different therapeutic agents and established a subtypes’’ biomarkers-based prognostic system with good validation results to provide ideas for clinical diagnosis and treatment. Finally, we identified a pivotal role for DDX1 in the DDR gene set, which may serve as a future therapeutic target.
ConclusionThis study showed that DDR has an important impact on the development and treatment of RCC. DCS2 subtypes have a poor prognosis, and more personalized treatment and follow-up programs may be needed. The assessment of DDR gene mutations in patients may be helpful for clinical decision-making. DDX1 may be one of the effective targets for RCC treatment in the future.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2022.1029509.s002（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_A_novel_thinking_DDR_axis_refines_the_classification_of_ccRCC_with_distinctive_prognosis_multi_omics_landscape_and_management_strategy_CSV/21589749）。