铜死亡核心基因辅助区分透明细胞肾细胞癌预后和免疫特征（表1）

数据集获取（Figshare）

• 源站标题：Table_1_The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma.docx
• DOI：10.3389/fonc.2022.925411.s005
• 发布日期：2022-09-21
• 文件数：1 个
• 文件总体积：15.60 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_The_core_genes_of_cuproptosis_assists_in_discerning_prognostic_and_immunological_traits_of_clear_cell_renal_cell_carcinoma_docx/21173326

命令行下载

curl -L -o "Table_1_The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma.docx" "https://ndownloader.figshare.com/files/37545370"

文件清单

• Table_1_The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma.docx（15.60 KB）

文件总体积 15.60 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

ObjectiveCuproptosis, a nascent and unique pattern of cell death, is poised to spark a new rush of biological research. Yet, the subsumed mechanism of cuproptosis in carcinoma is not wholly clarified. The exclusive aim of this work is to define a novel classification algorithm and risk-prognosis scoring framework based on the expression modalities of cuproptosis genes to monitor clear cell renal cell carcinoma (ccRCC) patients’ prognosis and immunotherapeutic response.
MethodsWe pooled ccRCC data from three large-scale databases as the training subset and gathered a panel of clinical queues, termed the Taizhou cohort, which served as the validation setup. Wilcox test was conducted for comparison of expression variation, while the cox analysis and KM curves were utilized to visualize prognosis. Unsupervised clustering analysis was used to identify cuproptosis phenotypes in ccRCC. Concurrently, LASSO regression-based computational scoring model. A step further, gene set enrichment analysis (GSEA) was performed to check potential biological processes and the “CIBERSORT” R package was used to estimate the proportion of immune cells. To last, immunohistochemistry and qRT-PCR were carried out for the assay of critical genes for cuproptosis.
ResultsHere, we glimpse the prognostic power of cuproptosis genes in pan-cancer by investigating 33 cancers with multi-omics data to map their genetic heterogeneity landscape. In parallel, we devoted extra attention to their strategic potential role in ccRCC, identifying two phenotypes of cuproptosis with different immune microenvironmental characteristics by pooling ccRCC data from three large-scale databases. Additionally, we compiled a cuproptosis scoring system for clinicians to determine the prognosis, immunotherapy response, and chemosensitivity of ccRCC patients. Notably, we assembled a clinical cohort sample to validate the pivotal gene for cuproptosis, FDX1, to supply more clues to translate the biological significance of cuproptosis in ccRCC.
ConclusionIn all, our investigations highlight that cuproptosis is involved in various components of ccRCC and assists in the formation of the tumor immune microenvironment. These re

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.925411.s005（source: https://frontiersin.figshare.com/articles/dataset/Table_1_The_core_genes_of_cuproptosis_assists_in_discerning_prognostic_and_immunological_traits_of_clear_cell_renal_cell_carcinoma_docx/21173326）。