从皮下到原位：肺癌研究中缩小与人类疾病差距的小鼠模型

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301349

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Preclinical lung cancer models frequently fail to predict clinical outcomes due to their limited ability to replicate the complex tumor microenvironment and metastatic processes seen in patients. In this study, we establish and characterize a clinically relevant orthotopic lung cancer model in mice, offering a substantial advancement over conventional subcutaneous models. Using thoracotomy-based injection of luciferase-expressing lung adenocarcinoma cells, we consistently generate single, well-defined nodules within the lung parenchyma that closely mimic human primary tumors. Longitudinal monitoring with bioluminescence imaging and computed tomography enables accurate spatial and volumetric assessment of tumor progression, with tumor size correlating with the initial cell dose. Comparative analyses demonstrate that orthotopic tumors exhibit enhanced vascularization, proliferation, and reduced hypoxic and stress markers (HIF-1α, γH2AX, p16, p21), alongside elevated Cyclin D1 expression-features reflecting a more physiologically relevant tumor environment. Importantly, orthotopic tumors display an enriched and organized immune infiltration, including enriched CD4⁺ and CD8⁺ T cells and dendritic cells, forming immune niches not present in subcutaneous models. To model metastasis, we isolate and culture circulating tumor cells (CTCs) from orthotopic tumor-bearing mice. Intracardiac injection of these CTCs leads to organ-specific metastases (e.g., liver, brain, bone), recapitulating clinical dissemination patterns. Transcriptomic and proteomic profiling of metastatic sublines reveals both conserved pro-metastatic programs-including chemokine signaling, EMT, and immune evasion-and niche-specific adaptations, particularly in bone metastases. This orthotopic model offers enhanced translational relevance for evaluating therapies and dissecting metastatic progression in lung cancer.

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。