表1：TNF-α通路改变预测非小细胞肺癌免疫检查点抑制剂生存

数据集获取（Figshare）

• 源站标题：Table_1_TNF-Alpha Pathway Alternation Predicts Survival of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.pdf
• DOI：10.3389/fimmu.2021.667875.s003
• 发布日期：2021-09-16
• 文件数：1 个
• 文件总体积：102.43 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_TNF-Alpha_Pathway_Alternation_Predicts_Survival_of_Immune_Checkpoint_Inhibitors_in_Non-Small_Cell_Lung_Cancer_pdf/16625788

命令行下载

curl -L -o "Table_1_TNF-Alpha Pathway Alternation Predicts Survival of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.pdf" "https://ndownloader.figshare.com/files/30791368"

文件清单

• Table_1_TNF-Alpha Pathway Alternation Predicts Survival of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.pdf（102.43 KB）

文件总体积 102.43 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

Translational research on immune checkpoint inhibitors (ICIs) has been underway. However, in the unselected population, only a few patients benefit from ICIs. Therefore, screening predictive markers of ICI efficacy has become the current focus of attention. We collected mutation and clinical data from an ICI-treated non-small cell lung cancer (NSCLC) cohort. Then, a univariate Cox regression model was used to analyze the relationship between tumor necrosis factor α signaling mutated (TNFα-MT) and the prognosis of immunotherapy for NSCLC. We retrospectively collected 36 NSCLC patients (local-cohort) from the Zhujiang Hospital of Southern Medical University and performed whole-exome sequencing (WES). The expression and mutation data of The Cancer Genome Atlas (TCGA)-NSCLC cohort were used to explore the association between TNFα-MT and the immune microenvironment. A local cohort was used to validate the association between TNFα-MT and immunogenicity. TNFα-MT was associated with significantly prolonged overall survival (OS) in NSCLC patients after receiving immunotherapy. Additionally, TNFα-MT is related to high immunogenicity (tumor mutational burden, neoantigen load, and DNA damage response signaling mutations) and enrichment of infiltrating immune cells. These results suggest that TNFα-MT may serve as a potential clinical biomarker for NSCLC patients receiving ICIs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2021.667875.s003（source: https://frontiersin.figshare.com/articles/dataset/Table_1_TNF-Alpha_Pathway_Alternation_Predicts_Survival_of_Immune_Checkpoint_Inhibitors_in_Non-Small_Cell_Lung_Cancer_pdf/16625788）。