动态肿瘤分析揭示未表征HER2突变的瘤内和瘤间异质性：年轻乳腺癌病例报告
PDF数据表，来自年轻乳腺癌病例报告，展示肿瘤分析动态变化及未表征HER2突变驱动的瘤内和瘤间异质性，包含多种肿瘤分子检测数据。
基本信息
资源简介
动态肿瘤分析揭示未表征HER2突变的瘤内和瘤间异质性：年轻乳腺癌病例报告
【一句话概览】
本数据集是 figshare 公开的多模态数据集，收录 1 个文件、合计 1.03 MB，主题涵盖 personalized therapy、precision oncology、metastatic breast cancer、extensive tumor profiling、treatment strategies，可用于跨模态对齐与融合建模研究，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case report of a young breast cancer patient.pdf》。配套论文《Molecular landscape of
<scp>
<i>TP53</i>
</scp>
mutations in breast cancer and their utility for predicting the response to
<scp>HER</scp>
‐targeted therapy in
<scp>HER2</scp>
amplification‐positive and
<scp>HER2</scp>
mutation‐positive amplification‐negative patients》发表于 Cancer Medicine（2022），DOI：10.1002/cam4.4652。源站首次发布：2024-05-03。
【数据内容】
源站原始描述：Despite multiple recent advances in systemic therapy for metastatic breast cancer, cases which display suboptimal response to guideline-driven treatment are frequently seen in the clinic. Effective options for such patients are limited, particularly in later line of therapy, and selection of optimal treatment options is essentially empirical and based largely on considerations of previous regimens received. Comprehensive cancer profiling includes detection of genetic alterations in tissue and ci…
【数据结构与技术规格】
文件数 1 个，合计 1.03 MB。DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case repor.pdf：application/pdf，1.03 MB。数据集 DOI：10.3389/fonc.2024.1395618.s001。
【主题与分类】
源站学科分类：Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签：personalized therapy、precision oncology、metastatic breast cancer、extensive tumor profiling、treatment strategies。
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Dynamic_changes_in_tumor_profiling_reveal_intra-_and_inter-tumoral_heterogeneity_focused_on_an_uncharacterized_HER2_mutation_a_case_report_of_a_young_breast_cancer_patient_pdf/25744605
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Schaffrin-Nabe, Dörthe; Josten-Nabe, Anke; Tannapfel, Andrea; Uhl, Waldemar; Garmer, Marietta; Kurzrock, Razelle; et al. (2024). DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case report of a young breast c…
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：DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case report of a young breast cancer patient.pdf
- DOI：10.3389/fonc.2024.1395618.s001
- 发布日期：2024-05-03
- 文件数：1 个
- 文件总体积：1.03 MB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Dynamic_changes_in_tumor_profiling_reveal_intra-_and_inter-tumoral_heterogeneity_focused_on_an_uncharacterized_HER2_mutation_a_case_report_of_a_young_breast_cancer_patient_pdf/25744605
命令行下载
curl -L -o "DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case repor.pdf" "https://ndownloader.figshare.com/files/46064310"
文件清单
DataSheet_1_Dynamic changes in tumor profiling reveal intra- and inter-tumoral heterogeneity focused on an uncharacterized HER2 mutation: a case repor.pdf（1.03 MB）
文件总体积 1.03 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
Despite multiple recent advances in systemic therapy for metastatic breast cancer, cases which display suboptimal response to guideline-driven treatment are frequently seen in the clinic. Effective options for such patients are limited, particularly in later line of therapy, and selection of optimal treatment options is essentially empirical and based largely on considerations of previous regimens received. Comprehensive cancer profiling includes detection of genetic alterations in tissue and circulating tumor DNA (ctDNA), immunohistochemistry (IHC) from re-biopsied metastatic disease, circulating tumor cells (CTCs), gene expression analysis and pharmacogenomics. The advent of this methodology and application to metastatic breast cancer, facilitates a more scientifically informed approach to identification of optimal systemic therapy approaches independent of the restrictions implied by clinical guidelines. Here we describe a case of metastatic breast cancer where consecutive comprehensive tumor profiling reveals ongoing tumor evolution, guiding the identification of novel effective therapeutic strategies.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2024.1395618.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Dynamic_changes_in_tumor_profiling_reveal_intra-_and_inter-tumoral_heterogeneity_focused_on_an_uncharacterized_HER2_mutation_a_case_report_of_a_young_breast_cancer_patient_pdf/25744605）。
需要用于商业化训练或医疗器械注册（NMPA/FDA）？
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连，提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。
