基于CAF景观与TME浸润的泛癌分析及上皮性卵巢癌分子亚型表5数据集

数据集获取（Figshare）

• 源站标题：Table_5_Pan-cancer analyses and molecular subtypes based on the cancer-associated fibroblast landscape and tumor microenvironment infiltration characterization reveal clinical outcome and immunotherapy response in epithelial ovarian cancer.xlsx
• DOI：10.3389/fimmu.2022.956224.s008
• 发布日期：2022-08-10
• 文件数：1 个
• 文件总体积：354.64 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_5_Pan-cancer_analyses_and_molecular_subtypes_based_on_the_cancer-associated_fibroblast_landscape_and_tumor_microenvironment_infiltration_characterization_reveal_clinical_outcome_and_immunotherapy_response_in_epithelial_ovarian_cancer_/20461242

命令行下载

curl -L -o "Table_5_Pan-cancer analyses and molecular subtypes based on the cancer-associated fibroblast landscape and tumor microenvironment infiltration charact.xlsx" "https://ndownloader.figshare.com/files/36620211"

文件清单

• Table_5_Pan-cancer analyses and molecular subtypes based on the cancer-associated fibroblast landscape and tumor microenvironment infiltration charact.xlsx（354.64 KB）

文件总体积 354.64 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

BackgroundCancer-associated fibroblasts (CAFs) are essential components of the tumor microenvironment (TME). These cells play a supportive role throughout cancer progression. Their ability to modulate the immune system has also been noted. However, there has been limited investigation of CAFs in the TME of epithelial ovarian cancer (EOC).
MethodsWe comprehensively evaluated the CAF landscape and its association with gene alterations, clinical features, prognostic value, and immune cell infiltration at the pan-cancer level using multi-omic data from The Cancer Genome Atlas (TCGA). The CAF contents were characterized by CAF scores based on the expression levels of seven CAF markers using the R package “GSVA.” Next, we identified the molecular subtypes defined by CAF markers and constructed a CAF riskscore system using principal component analysis in the EOC cohort. The correlation between CAF riskscore and TME cell infiltration was investigated. The ability of the CAF riskscore to predict prognosis and immunotherapy response was also examined.
ResultsCAF components were involved in multiple immune-related processes, including transforming growth factor (TGF)-β signaling, IL2-STAT signaling, inflammatory responses, and Interleukin (IL) 2-signal transducer and activator of transcription (STAT) signaling. Considering the positive correlation between CAF scores and macrophages, neutrophils, and mast cells, CAFs may exert immunosuppressive effects in both pan-cancer and ovarian cancer cohorts, which may explain accelerated tumor progression and poor outcomes. Notably, two distinct CAF molecular subtypes were defined in the EOC cohort. Low CAF riskscores were characterized by favorable overall survival (OS) and higher efficacy of immunotherapy. Furthermore, 24 key genes were identified in CAF subtypes. These genes were significantly upregulated in EOC and showed a strong correlation with CAF markers.
ConclusionsIdentifying CAF subtypes provides insights into EOC heterogeneity. The CAF riskscore system can predict prognosis and select patients who may benefit from immunotherapy. The mechanism of interactions between key genes, CAF markers, and associated cancer-promoting

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2022.956224.s008（source: https://frontiersin.figshare.com/articles/dataset/Table_5_Pan-cancer_analyses_and_molecular_subtypes_based_on_the_cancer-associated_fibroblast_landscape_and_tumor_microenvironment_infiltration_characterization_reveal_clinical_outcome_and_immunotherapy_response_in_epithelial_ovarian_cancer_/20461242）。