IFITM3-MET相互作用通过AKT通路激活驱动EGFR突变非小细胞肺癌奥希替尼耐药

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE289383

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

Despite an initial favorable response of EGFR mutant non–small cell lung cancer (NSCLC) to osimertinib, an EGFR tyrosine kinase inhibitor (TKI), resistance inevitably develops. We here performed transcriptomics analysis of pretreatment specimens and identified IFITM3 as a gene specifically upregulated in tumors that develop early resistance to osimertinib. Immunohistochemistry confirmed patients with IFITM3-positive tumors experienced a shorter progression-free survival. Spatial transcriptomics and other analyses further revealed that IFITM3 expression was increased in response to cytokines derived from the tumor microenvironment (TME) during osimertinib treatment. IFITM3 was found to promote the development of osimertinib resistance through interaction with MET and activation of the AKT pathway. Furthermore, combined treatment with a MET inhibitor suppressed the development of osimertinib resistance in a mouse model. Our findings thus reveal that upregulation of IFITM3 represents a previously unrecognized mechanism of osimertinib resistance, and they suggest that targeting the IFITM3-MET axis may improve treatment outcomes.

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。