胰腺导管腺癌乳酸代谢空间转录组学数据表

数据集获取（Figshare）

• 源站标题：Table 10_Spatial transcriptomics reveals the mechanistic role of lactate metabolism in the pancreatic ductal adenocarcinoma microenvironment.xlsx
• DOI：10.3389/fimmu.2026.1743187.s018
• 发布日期：2026-02-13
• 文件数：1 个
• 文件总体积：9.40 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_10_Spatial_transcriptomics_reveals_the_mechanistic_role_of_lactate_metabolism_in_the_pancreatic_ductal_adenocarcinoma_microenvironment_xlsx/31331269

命令行下载

curl -L -o "Table 10_Spatial transcriptomics reveals the mechanistic role of lactate metabolism in the pancreatic ductal adenocarcinoma microenvironment.xlsx" "https://ndownloader.figshare.com/files/61861633"

文件清单

• Table 10_Spatial transcriptomics reveals the mechanistic role of lactate metabolism in the pancreatic ductal adenocarcinoma microenvironment.xlsx（9.40 KB）

文件总体积 9.40 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

BackgroundPancreatic ductal adenocarcinoma (PDAC), an aggressive cancer with poor prognosis, poses major challenges owing to late diagnosis and limited response to current therapies. However, the identification of candidate drugs through multi-omics analyses and therapeutic peptides targeting key molecular pathways may provide improved outcomes. Although lactate metabolism is a critical factor in tumor progression, affecting cell proliferation, metastasis, and immune evasion, its role in PDAC—particularly within the tumor microenvironment, remains underexplored.
ObjectivesThis study investigated lactate metabolism in PDAC using high-throughput transcriptomic sequencing and single-cell transcriptomic analysis.
MethodsLactate metabolism–related gene expression was analyzed in tumor cells and their microenvironment, and correlations with patient prognosis were determined. Additionally, a machine learning–based prognostic model was established to identify lactate metabolism biomarkers for early diagnosis and personalized therapy.
ResultsLactate metabolism significantly impacted the survival of patients with PDAC (n = 92; log-rank test, p This study provides insights into PDAC metabolic features and highlights lactate metabolism as a potential therapeutic target. The identified biomarkers could facilitate early diagnosis and improve treatment strategies, ultimately enhancing patient outcomes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2026.1743187.s018（source: https://frontiersin.figshare.com/articles/dataset/Table_10_Spatial_transcriptomics_reveals_the_mechanistic_role_of_lactate_metabolism_in_the_pancreatic_ductal_adenocarcinoma_microenvironment_xlsx/31331269）。