胃肠胰神经内分泌肿瘤(GEP-NEN)数据表
该数据集包含50例晚期胃肠胰神经内分泌肿瘤患者的综合基因组分析数据,比较NET与NEC的基因突变、TMB和MSI等特征。

基本信息
资源简介
胃肠胰神经内分泌肿瘤(GEP-NEN)数据表
【一句话概览】
本数据集是 figshare 公开的组学数据集,收录 1 个文件、合计 15.86 KB,主题涵盖 treatment initiation based、standard clinical practice、significantly greater number、greater therapeutic relevance、comprehensive genomic profiling,可用于生物标志物发现与分子分型研究,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《GEP-NENdatasheet.》。源站首次发布:2025-08-06。
【数据内容】
源站原始描述:Introduction Comprehensive genomic profiling (CGP) is increasingly being integrated into standard clinical practice as a strategy to guide subsequent treatment decisions by identifying novel therapeutic options based on tumor-specific mutations. However, its clinical utility in neuroendocrine neoplasms (NENs) remains to be determined. We conducted a cross-sectional analysis of genomic alterations, including tumor mutational burden (TMB) and microsatellite instability (MSI), in gastroenteropancre…
【数据结构与技术规格】
文件数 1 个,合计 15.86 KB。pone.0325727.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,15.86 KB。数据集 DOI:10.1371/journal.pone.0325727.s003。
【主题与分类】
源站学科分类:Biochemistry、Genetics、Pharmacology、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Cancer。主题标签:treatment initiation based、standard clinical practice、significantly greater number、greater therapeutic relevance、comprehensive genomic profiling、necs also harbored、mutations per case、neuroendocrine neoplasms、therapeutic options、significantly higher。
【适用方向】
组学数据适用于生物标志物发现与分子分型相关建模研究。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/GEP-NENdatasheet_/29845945
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Miyazawa, Suguru; Ono, Hiroaki; Yamashita, Hironari; Asano, Daisuke; Ishikawa, Yoshiya; Watanabe, Shuichi; et al. (2025). GEP-NENdatasheet.. PLOS ONE. Dataset
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)
- 源站标题:GEP-NENdatasheet.
- DOI:10.1371/journal.pone.0325727.s003
- 发布日期:2025-08-06
- 文件数:1 个
- 文件总体积:15.86 KB
- 源站页面:https://plos.figshare.com/articles/dataset/GEP-NENdatasheet_/29845945
命令行下载
curl -L -o "pone.0325727.s003.xlsx" "https://ndownloader.figshare.com/files/56973328"
文件清单
pone.0325727.s003.xlsx(15.86 KB)
文件总体积 15.86 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
Comprehensive genomic profiling (CGP) is increasingly being integrated into standard clinical practice as a strategy to guide subsequent treatment decisions by identifying novel therapeutic options based on tumor-specific mutations. However, its clinical utility in neuroendocrine neoplasms (NENs) remains to be determined. We conducted a cross-sectional analysis of genomic alterations, including tumor mutational burden (TMB) and microsatellite instability (MSI), in gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs), comparing neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs).
Results
CGP was performed on 50 patients with advanced GEP-NENs between August 2017 and October 2023. Of these, 38 were diagnosed with NETs and 12 with NECs. Primary tumor sites included the pancreas (n = 24), gastrointestinal tract (n = 25), and one case of unknown origin. In our study, CGP analysis comparing NETs and NECs documented different genetic profiles. In addition, median TMB was significantly higher in NECs (5.0 vs. 1.9 mutations/megabase; p = 0.0101). High TMB was identified in 4 of 12 NECs (33.3%) and in only 1 of 38 NETs (2.6%) (p = 0.0093). NECs also harbored a significantly greater number of mutations per case than NETs (5.5 vs. 2.0; p = 0.0014). Actionable mutations were identified in 18 of 50 patients, and 7 patients received mutation-guided therapy: 2 with NETs and 5 with NECs. The frequency of treatment initiation based on CGP findings was significantly higher in patients with NECs (p = 0.0059).
Conclusions
NECs are genetically distinct from NETs, with a higher prevalence of actionable mutations and greater therapeutic relevance of CGP findings. These results suggest that CGP may be particularly valuable in NECs, where therapeutic options are limited, supporting its proactive implementation in this subgroup.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0325727.s003(source: https://plos.figshare.com/articles/dataset/GEP-NENdatasheet_/29845945)。
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