大外显子测序在转移性非小细胞肺癌管理中的作用：真实世界简要报告的表2

数据集获取（Figshare）

• 源站标题：Table_2_Is There a Role for Large Exome Sequencing in the Management of Metastatic Non-Small Cell Lung Cancer: A Brief Report of Real Life.docx
• DOI：10.3389/fonc.2022.863057.s003
• 发布日期：2022-03-07
• 文件数：1 个
• 文件总体积：14.06 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Is_There_a_Role_for_Large_Exome_Sequencing_in_the_Management_of_Metastatic_Non-Small_Cell_Lung_Cancer_A_Brief_Report_of_Real_Life_docx/19316084

命令行下载

curl -L -o "Table_2_Is There a Role for Large Exome Sequencing in the Management of Metastatic Non-Small Cell Lung Cancer: A Brief Report of Real Life.docx" "https://ndownloader.figshare.com/files/34305944"

文件清单

• Table_2_Is There a Role for Large Exome Sequencing in the Management of Metastatic Non-Small Cell Lung Cancer: A Brief Report of Real Life.docx（14.06 KB）

文件总体积 14.06 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

IntroductionNon-small-cell lung cancer (NSCLC) is one of the main causes of death by cancer worldwide. With the rise of targeted therapies, the search for molecular abnormalities is becoming a crucial step in the management of lung cancer. Whole exome sequencing (WES) is developing rapidly and is now accessible in routine care. However, its value, compared to smaller gene panels, remains unclear.
MethodsWe conducted a retrospective analysis of all 281 patients with lung carcinoma referred to the Molecular Tumor Board of the Georges-François Leclerc Cancer Center (CGFL) between March 2015 and January 2018. We compared the results of standard molecular testing with the results of WES performed on every patient.
ResultsWES highlighted many more mutations than smaller panels (mutations were found in 82 genes, while smaller panels found, at the most, mutations in 12 genes). Most of these mutations were class III or IV according to the ESCAT classification. The exome sensitivity also showed limitations, notably a slightly lower efficiency for common mutations, including classical EGFR mutations.
ConclusionSmall, targeted panels could be preferred over WES at the initial diagnosis of metastatic NSCLC. They are more sensitive for the identification of mutations on the most frequently mutated genes, such as ALK, BRAF, EGFR, ERBB2, KRAS or MET. Larger panels or WES could be useful at disease progression, to enlarge treatment possibilities by highlighting uncommon but potentially targetable mutations that are not covered by smaller, targeted panels.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.863057.s003（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Is_There_a_Role_for_Large_Exome_Sequencing_in_the_Management_of_Metastatic_Non-Small_Cell_Lung_Cancer_A_Brief_Report_of_Real_Life_docx/19316084）。