KRAS与CDK4同步靶向协同诱导胰腺癌细胞持久生长停滞

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311611

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

Mutant Ras oncoproteins, particularly KRAS, are among the most prevalent drivers of cancer. Small-molecule KRAS inhibitors have emerged as promising cancer therapeutics, yet resistance development remains a major hurdle. To overcome this challenge, we explored rational combination strategies aimed at enhancing therapeutic efficacy and durability. We show that the KRAS-G12C inhibitor Sotorasib synergizes with the CDK4/6 inhibitor Palbociclib to eliminate pancreatic ductal adenocarcinoma (PDAC) cells and organoids harboring KRAS-G12C mutations. This synergy was especially pronounced following drug washout, indicating a durable cellular response. Similar synergistic effects were observed in non-small-cell lung cancer (NSCLC) cells. Additionally, the KRAS-G12D inhibitor MRTX1133 cooperated with Palbociclib to suppress KRAS-G12D-mutant PDAC cells. Mechanistically, the combinations induced sustained cell cycle arrest, marked by reduced RB phosphorylation, decreased E2F1 expression, and increased levels of CDKN1B/p27. Deletion of CDKN1B largely reversed the growth-inhibitory effect, highlighting its essential role in mediating the observed synergy. In an orthotopic, immunocompetent mouse model of PDAC, MRTX1133 significantly delayed tumor growth and extended survival; however, despite its ability to suppress RB phosphorylation, Palbociclib failed to enhance these effects. This might be due to increased tumor vascularization upon Palbociclib treatment, as revealed by single cell RNA sequencing. In summary, our findings demonstrate the therapeutic potential of enhancing cell cycle restriction point activation in KRAS inhibitor-based therapies, while emphasizing the importance of precisely adjusting the drug combinations to the in vivo situation.

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。