泛癌蛋白质组和转录组PD-1/PD-L1信号元分析：发现抗PD-1治疗肺癌的预测生物标志物

数据集获取（Figshare）

• 源站标题：Pan-Cancer
  Proteomic and Transcriptomic Meta-Analysis
  of PD-1/PD-L1 Signaling Reveals Predictive Biomarkers for Anti-PD‑1
  Therapy in Lung Cancer
• DOI：10.1021/acs.jproteome.5c01238.s005
• 发布日期：2026-03-30
• 文件数：1 个
• 文件总体积：192.74 KB
• 源站页面：https://acs.figshare.com/articles/dataset/Pan-Cancer_Proteomic_and_Transcriptomic_Meta-Analysis_of_PD-1_PD-L1_Signaling_Reveals_Predictive_Biomarkers_for_Anti-PD_1_Therapy_in_Lung_Cancer/31889092

命令行下载

curl -L -o "pr5c01238_si_005.xlsx" "https://ndownloader.figshare.com/files/63279361"

文件清单

• pr5c01238_si_005.xlsx（192.74 KB）

文件总体积 192.74 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

Programmed death-ligand 1 (PD-L1)
is an immune checkpoint
molecule
that enables tumor cells to escape immune surveillance, and its blockade
by immune checkpoint inhibitors has become an effective therapeutic
strategy in various cancers. Previous studies have primarily focused
on genomic and transcriptomic features within specific cancer types,
while proteomic analyses remain relatively limited. Here, we conducted
a comprehensive pan-cancer meta-analysis encompassing 12 human cancer
types to systematically characterize PD-1/PD-L1 signaling pathways
at both the proteomic and transcriptomic levels. We observed clear
cancer-type-specific patterns of PD-1/PD-L1 expression. Pathway-crosstalk
analyses further revealed multiple pathways and phosphorylation events
influencing PD-1/PD-L1 activity. Immune-infiltration profiling identified
MMP9+ neutrophils as key immune subsets associated with
PD-1/PD-L1 pathway activity. Using proteomic data, we constructed
a PD-L1-centered protein–protein interaction network and identified
TAP proteins as potential predictive biomarkers in small-cell lung
cancer. We also established a biomarker signature capable of predicting
clinical response to anti-PD-1 therapy in non-small-cell lung cancer
and validated this gene set in two independent previously published
cohorts. Finally, we developed an interactive web application (https://yuyingsuo-simm.shinyapps.io/PD-L1_Profiling/) to facilitate visualization of PD-L1 features and exploration of
its associations with genes and pathways of interest.

许可

CC BY-NC 4.0

引用

学术使用请引用 DOI 10.1021/acs.jproteome.5c01238.s005（source: https://acs.figshare.com/articles/dataset/Pan-Cancer_Proteomic_and_Transcriptomic_Meta-Analysis_of_PD-1_PD-L1_Signaling_Reveals_Predictive_Biomarkers_for_Anti-PD_1_Therapy_in_Lung_Cancer/31889092）。