非小细胞肺癌患者ALK重排的临床病理和人口学特征:系统综述与荟萃分析

系统综述和荟萃分析汇总的非小细胞肺癌患者ALK重排的临床病理和人口学特征数据,包含62项研究、20541名患者。

Figshare
2016-01-15 更新
浏览 20
表格Clinical geneticsoncologyCancers and neoplasmsLung and intrathoracic tumorsNon-small cell lung cancerdemographicalnon-smallcancerpatientsalksystematic
Clinicopathological and Demographical Characteristics of Non-Small Cell Lung Cancer Patients with ALK Rearrangements: A Systematic Review and Meta-Analysis

基本信息

模态
表格
大小
0.004406261 GB
许可
CC BY 4.0
创建/更新时间
2016-01-15
版本
v1

资源简介

非小细胞肺癌患者ALK重排的临床病理和人口学特征:系统综述与荟萃分析

【数据集背景】

本数据集源站标题为《Clinicopathological and Demographical Characteristics of Non-Small Cell Lung Cancer Patients with ALK Rearrangements: A Systematic Review and Meta-Analysis》。配套论文《Clinicopathological and Demographical Characteristics of Non-Small Cell Lung Cancer Patients with ALK Rearrangements: A Systematic Review and Meta-Analysis》发表于 PLoS ONE(2014),DOI:10.1371/journal.pone.0100866。源站首次发布:2014-06-24。

【数据内容】

源站原始描述:Objective This meta-analysis aimed to comprehensively examine the relationship between the clinicopathological and demographical characteristics and ALK rearrangements in patients with non-small cell lung cancer (NSCLC). Methods and Main Findings In total, 62 qualified articles including 1178 ALK rearranged cases from 20541 NSCLC patients were analyzed, and the data were extracted independently by two investigators. NSCLC patients with ALK rearrangements tended to be younger than those without (…

【数据结构与技术规格】

文件数 15 个,合计 4.41 MB。Checklist_S1.doc:application/msword,68.10 KB。Figure_S1.pdf:application/pdf,490.65 KB。Figure_S2.pdf:application/pdf,318.86 KB。数据集 DOI:10.1371/journal.pone.0100866。

【主题与分类】

源站学科分类:Biological Sciences。主题标签:Clinical genetics、oncology、Cancers and neoplasms、Lung and intrathoracic tumors、Non-small cell lung cancer、demographical、non-small、cancer、patients、alk。

【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/_Clinicopathological_and_Demographical_Characteristics_of_Non_Small_Cell_Lung_Cancer_Patients_with_ALK_Rearrangements_A_Systematic_Review_and_Meta_Analysis_/1081390

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

规范引用:Fan, Liang; Feng, Yun; Wan, Huanying; Shi, Guochao; Niu, Wenquan (2016). Clinicopathological and Demographical Characteristics of Non-Small Cell Lung Cancer Patients with ALK Rearrangements: A Systematic Review and Meta-Analysis. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-02,引用时请注意版本时效。

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。

帮我联系

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 "Checklist_S1.doc" "https://ndownloader.figshare.com/files/1562382"
curl -L -o "Figure_S1.pdf" "https://ndownloader.figshare.com/files/1562383"
curl -L -o "Figure_S2.pdf" "https://ndownloader.figshare.com/files/1562384"
curl -L -o "Figure_S3.pdf" "https://ndownloader.figshare.com/files/1562385"
curl -L -o "Figure_S4.pdf" "https://ndownloader.figshare.com/files/1562386"
curl -L -o "Figure_S5.pdf" "https://ndownloader.figshare.com/files/1562387"
curl -L -o "Figure_S6.pdf" "https://ndownloader.figshare.com/files/1562388"
curl -L -o "Figure_S7.pdf" "https://ndownloader.figshare.com/files/1562389"

文件清单

  • Checklist_S1.doc(68.10 KB)
  • Figure_S1.pdf(490.65 KB)
  • Figure_S2.pdf(318.86 KB)
  • Figure_S3.pdf(449.86 KB)
  • Figure_S4.pdf(277.70 KB)
  • Figure_S5.pdf(367.12 KB)
  • Figure_S6.pdf(225.57 KB)
  • Figure_S7.pdf(443.70 KB)
  • Figure_S8.pdf(402.74 KB)
  • Figure_S9.pdf(420.08 KB)
  • Figure_S10.pdf(337.21 KB)
  • Table_S1.doc(288.77 KB)
  • Table_S2.doc(68.10 KB)
  • Table_S3.doc(78.34 KB)
  • Table_S4.doc(169.47 KB)

文件总体积 4.41 MB(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

Objective
This meta-analysis aimed to comprehensively examine the relationship between the clinicopathological and demographical characteristics and ALK rearrangements in patients with non-small cell lung cancer (NSCLC).
Methods and Main Findings
In total, 62 qualified articles including 1178 ALK rearranged cases from 20541 NSCLC patients were analyzed, and the data were extracted independently by two investigators. NSCLC patients with ALK rearrangements tended to be younger than those without (mean difference: −7.16 years; 95% confidence interval (95% CI): −9.35 to −4.96; PConclusion
Our findings demonstrate that ALK rearrangements tended to be present in NSCLC patients with no smoking habit, younger age and tumor stage IV. Moreover, race, age, gender, smoking status, tumor stage and histology might be potential sources of heterogeneity.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0100866(source: https://plos.figshare.com/articles/dataset/_Clinicopathological_and_Demographical_Characteristics_of_Non_Small_Cell_Lung_Cancer_Patients_with_ALK_Rearrangements_A_Systematic_Review_and_Meta_Analysis_/1081390)。

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。

获取专属数据定制方案