表2_基于糖酵解的基因是甲状腺癌的潜在生物标志物

数据集获取（Figshare）

• 源站标题：Table_2_Glycolysis-Based Genes Are Potential Biomarkers in Thyroid Cancer.DOCX
• DOI：10.3389/fonc.2021.534838.s002
• 发布日期：2021-04-26
• 文件数：1 个
• 文件总体积：18.19 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Glycolysis-Based_Genes_Are_Potential_Biomarkers_in_Thyroid_Cancer_DOCX/14482731

命令行下载

curl -L -o "Table_2_Glycolysis-Based Genes Are Potential Biomarkers in Thyroid Cancer.DOCX" "https://ndownloader.figshare.com/files/27728544"

文件清单

• Table_2_Glycolysis-Based Genes Are Potential Biomarkers in Thyroid Cancer.DOCX（18.19 KB）

文件总体积 18.19 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

While increased glycolysis has been identified as a cancer marker and attracted much attention in thyroid cancer (THCA), the prognostic role of it remains to be further elucidated. Here we aimed to determine a specific glycolysis-associated risk model to predict THCA patients’’ survival. We also explored the interaction between this signature and tumor immune microenvironment and performed drug screening to identify specific drugs targeting the glycolysis-associated signature. Six genes (CHST6, POM121C, PPFIA4, STC1, TGFBI, and FBP2) comprised the specific model, which was an independent prognostic indicator in THCA patients determined by univariate, LASSO and multivariate Cox regression analyses. The receiver operating characteristic (ROC) curve analysis confirmed the excellent clinical performance of the prognostic signature. According to the specific gene signature, patients were categorized into high- and low-risk subgroups. The high-risk group was characterized by decreased immune score and elevated tumor purity, as well as worser survival prognosis compared to the low-risk group. We also validated the expression of these genes in clinical samples and in-vitro experiments. Lastly, we identified potential drugs targeting the glycolysis-associated signature. The derived glycolysis-related signature is an independent prognostic biomarker for THCA patients and might be used as an efficacy of biomarker for drug-sensitivity prediction.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2021.534838.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Glycolysis-Based_Genes_Are_Potential_Biomarkers_in_Thyroid_Cancer_DOCX/14482731）。