膀胱癌细胞周期检查点基因整合转录特征数据表2

数据集获取（Figshare）

• 源站标题：DataSheet_2_Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.csv
• DOI：10.3389/fonc.2022.915662.s002
• 发布日期：2022-08-11
• 文件数：1 个
• 文件总体积：4.04 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_2_Integrative_transcriptional_characterization_of_cell_cycle_checkpoint_genes_promotes_clinical_management_and_precision_medicine_in_bladder_carcinoma_csv/20471703

命令行下载

curl -L -o "DataSheet_2_Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder.csv" "https://ndownloader.figshare.com/files/36641154"

文件清单

• DataSheet_2_Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder.csv（4.04 KB）

文件总体积 4.04 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

BackgroundThe aberrant regulation of cell cycle is significantly correlated with cancer carcinogenesis and progression, in which cell cycle checkpoints control phase transitions, cell cycle entry, progression, and exit. However, the integrative role of cell cycle checkpoint-related genes (CRGs) in bladder carcinoma (BC) remains unknown.
MethodsThe transcriptomic data and clinical features of BC patients were downloaded from The Cancer Genome Atlas (TCGA), used to identify CRGs correlated with overall survival (OS) by univariate Cox regression analysis. Then, the multivariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses further developed a prognostic CRG signature, which was validated in three external datasets retrieved from Gene Expression Omnibus (GEO). The receiver operating characteristic curve (ROC) analysis was conducted for evaluating the performance of the CRG signature in prognosis prediction. RNA sequencing (RNA-Seq) was performed to explore the expression difference in the identified CRGs between tumor and normal tissue samples from 11 BC patients in the local cohort. Ultimately, genomic profiles and tumor microenvironment (TME), and the Genomics of Drug Sensitivity in Cancer (GDSC) were investigated to guide precision treatment for BC patients with different CRG features.
ResultsThe novel constructed 23-CRG prognostic signature could stratify BC patients into high-risk and low-risk groups with significantly different outcomes (median OS: 13.64 vs. 104.65 months). Notably, 19 CRGs were the first to be identified as being associated with BC progression. In three additional validation datasets (GSE13507, GSE31684, and GSE32548), higher CRG scores all indicated inferior survival, demonstrating the robust ability of the CRG signature in prognosis prediction. Moreover, the CRG signature as an independent prognostic factor had a robust and stable risk stratification for BC patients with different histological or clinical features. Then, a CRG signature-based nomogram with a better performance in prognostic prediction [concordance index (C-index): 0.76] was established. Functional enrichment analysis revealed that colla

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.915662.s002（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_2_Integrative_transcriptional_characterization_of_cell_cycle_checkpoint_genes_promotes_clinical_management_and_precision_medicine_in_bladder_carcinoma_csv/20471703）。