基因组指导治疗数据集

法国多中心研究数据集,含416名实体瘤患者的临床与基因组数据,评估CGP指导靶向治疗的可行动性,涵盖肺癌、胆道癌等。

NIAID Data Ecosystem
浏览 5
表格poor general conditionphysician &# 8217multicentre french study6 %)followed4 %respectively31 &# 8211treatment modifications baseddirected treatment changesclinical trial suggestionsclinical practice acrossbiliary tract cancertumor genomic profile
Genomic directed treatments.

基本信息

模态
表格
大小
0.000020855 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

基因组指导治疗数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 20.86 KB,主题涵盖 poor general condition、physician &# 8217、multicentre french study、6 %), followed、4 %, respectively,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Genomic directed treatments.》。源站首次发布:2023-09-14。

【数据内容】

源站原始描述:Introduction Considering the growing interest in matched cancer treatment, our aim was to evaluate the ability of a comprehensive genomic profiling (CGP) assay to propose at least one targeted therapy given an identified genomic alteration or signature (actionability), and to collect the treatment modifications based on the CGP test results in clinical practise for solid tumors. Methods This retrospective, multicentre French study was conducted among 25 centres that participated in a free of cha…

【数据结构与技术规格】

文件数 1 个,合计 20.86 KB。pone.0291495.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,20.86 KB。数据集 DOI:10.1371/journal.pone.0291495.s003。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Cancer、Infectious Diseases。主题标签:poor general condition、physician &# 8217、multicentre french study、6 %), followed、4 %, respectively、31 &# 8211、treatment modifications based、directed treatment changes、clinical trial suggestions、clinical practice across。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Genomic_directed_treatments_/24140761

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Leroy, Karen; Valette, Clarisse Audigier; Alexandre, Jérôme; Boussemart, Lise; Chiesa, Jean; Deldycke, Clotilde; et al. (2023). Genomic directed treatments.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "pone.0291495.s003.xlsx" "https://ndownloader.figshare.com/files/42354514"

文件清单

  • pone.0291495.s003.xlsx(20.86 KB)

文件总体积 20.86 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

Introduction
Considering the growing interest in matched cancer treatment, our aim was to evaluate the ability of a comprehensive genomic profiling (CGP) assay to propose at least one targeted therapy given an identified genomic alteration or signature (actionability), and to collect the treatment modifications based on the CGP test results in clinical practise for solid tumors.
Methods
This retrospective, multicentre French study was conducted among 25 centres that participated in a free of charge program between 2017 and 2019 for a tissue CGP test. Data were collected on the patient, disease, tumor genomic profile, treatment suggested in the report (related to the genomic profile results) and subsequent therapeutic decisions according to the physician’s declaration.
Results
Among the 416 patients, most had lung cancer (35.6%), followed by biliary tract cancer (11.5%) or rare cancers (11.1%); 75% had a metastatic disease. The actionability was 75.0% (95% CI [70.6%-78.9%]) for all patients, 85.1% and 78.4%, respectively in lung cancer and metastatic patients. After exclusion of clinical trial suggestions, the actionability decreased to 62.3% (95% CI [57.5%-66.8%]). Treatment modification based on the test results was observed in 17.3% of the patients and was more frequent in metastatic disease (OR = 2.73, 95% CI [1.31–5.71], p = 0.007). The main reasons for no treatment modification were poor general condition (33.2%) and stable disease or remission (30.2%). The genomic-directed treatment changes were performed mostly during the first six months after the CGP test, and interestingly a substantial part was observed from six to 24 months after the genomic profiling.
Conclusion
This French study provides information on the real-life actionability of a CGP test based on tissue samples, and trends to confirm its utility in clinical practice across the course of the disease, in particularly for patients with lung cancer and/or advanced disease.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0291495.s003(source: https://plos.figshare.com/articles/dataset/Genomic_directed_treatments_/24140761)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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