肾母细胞瘤预后预测中失巢凋亡与EMT相关基因协同效应表1

数据集获取（Figshare）

• 源站标题：Table1_The synergistic effects of anoikis-related genes and EMT-related genes in the prognostic prediction of Wilms tumor.DOCX
• DOI：10.3389/fmolb.2024.1469775.s002
• 发布日期：2024-09-16
• 文件数：1 个
• 文件总体积：11.26 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table1_The_synergistic_effects_of_anoikis-related_genes_and_EMT-related_genes_in_the_prognostic_prediction_of_Wilms_tumor_DOCX/27023467

命令行下载

curl -L -o "Table1_The synergistic effects of anoikis-related genes and EMT-related genes in the prognostic prediction of Wilms tumor.DOCX" "https://ndownloader.figshare.com/files/49201639"

文件清单

• Table1_The synergistic effects of anoikis-related genes and EMT-related genes in the prognostic prediction of Wilms tumor.DOCX（11.26 KB）

文件总体积 11.26 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

Wilms tumor (WT) is the most common type of malignant abdominal tumor in children; it exhibits a high degree of malignancy, grow rapidly, and is prone to metastasis. This study aimed to construct a prognosis model based on anoikis-related genes (ARGs) and epithelial-mesenchymal transition (EMT)-related genes (ERGs) for WT patients; we assessed the characteristics of the tumor microenvironment and treatment efficacy, as well as identifying potential therapeutic targets. To this end, we downloaded transcriptome sequencing data and clinical data for WT and normal renal cortices and used R to construct and validate the prognostic model based on ARGs and ERGs. Additionally, we performed clinical feature analysis, nomogram construction, mutation analysis, drug sensitivity analysis, Connectivity Map (cMAP) analysis, functional enrichment analysis, and immune infiltration analysis. Finally, we screened the hub gene using the STRING database and validated it via experiments. In this way, we constructed a model with good accuracy and robustness, which was composed of seven anoikis- and EMT-related genes. Paclitaxel and mesna were selected as potential chemotherapeutic drugs and adjuvant chemotherapeutic drugs for the WT high-risk group by using the Genomics of Drug Sensitivity in Cancer (GDSC) and cMAP compound libraries, respectively. We proved the existence of a strong correlation between invasive immune cells and prognostic genes and risk scores. Next, we selected NTRK2 as the hub gene, and in vitro experiments confirmed that its inhibition can significantly inhibit the proliferation and migration of tumor cells and promote late apoptosis. In summary, we screened out the potential biomarkers and chemotherapeutic drugs that can improve the prognosis of patients with WT.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmolb.2024.1469775.s002（source: https://frontiersin.figshare.com/articles/dataset/Table1_The_synergistic_effects_of_anoikis-related_genes_and_EMT-related_genes_in_the_prognostic_prediction_of_Wilms_tumor_DOCX/27023467）。