563例非小细胞肺癌患者捕获靶向测序识别可操作变异Table_1数据集

数据集获取（Figshare）

• 源站标题：Table_1_Identifying Actionable Variants Using Capture-Based Targeted Sequencing in 563 Patients With Non-Small Cell Lung Carcinoma.xlsx
• DOI：10.3389/fonc.2021.812433.s002
• 发布日期：2022-02-04
• 文件数：1 个
• 文件总体积：122.73 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Identifying_Actionable_Variants_Using_Capture-Based_Targeted_Sequencing_in_563_Patients_With_Non-Small_Cell_Lung_Carcinoma_xlsx/19119857

命令行下载

curl -L -o "Table_1_Identifying Actionable Variants Using Capture-Based Targeted Sequencing in 563 Patients With Non-Small Cell Lung Carcinoma.xlsx" "https://ndownloader.figshare.com/files/33967343"

文件清单

• Table_1_Identifying Actionable Variants Using Capture-Based Targeted Sequencing in 563 Patients With Non-Small Cell Lung Carcinoma.xlsx（122.73 KB）

文件总体积 122.73 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

Although the NSCLC diagnostic standards recommend the detection of driver gene mutation, comprehensive genomic profiling has not been used widely in clinical practice. As to the different mutation spectrum characteristics between populations, the research based on Chinese NSCLC cohort is very important for clinical practice. Therefore, we collected 563 surgical specimens from patients with non-small cell lung carcinoma and applied capture-based sequencing using eight-gene panel. We identified 556 variants, with 416 potentially actionable variants in 54.88% (309/563) patients. These single nucleotide variants, insertions and deletions were most commonly found in EGFR (55%), followed by ERBB2 (12%), KRAS (11%), PIK3CA (9%), MET (8%), BRAF (7%), DDR2 (2%), NRAS (0.3%). By using ten protein function prediction algorithms, we also identified 30 novel potentially pathogenic variants. Ninety-eight patients harbored EFGR exon 21 p.L858R mutation and the catalytic domain of the protein tyrosine kinase (PTKc) in EGFR is largely mutated. In addition, there were nine frequent pathogenic variants found in five or more patients. This data provides the potential molecular basis for directing the treatment of lung cancer.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2021.812433.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Identifying_Actionable_Variants_Using_Capture-Based_Targeted_Sequencing_in_563_Patients_With_Non-Small_Cell_Lung_Carcinoma_xlsx/19119857）。