Table5_探索不同卵巢癌组织学亚型原发和转移肿瘤中的肿瘤微环境.XLSX
卵巢癌不同组织学亚型原发与转移肿瘤微环境的单细胞RNA测序研究相关XLSX表格数据。
基本信息
资源简介
Table5_探索不同卵巢癌组织学亚型原发和转移肿瘤中的肿瘤微环境.XLSX
【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 20.91 KB，主题涵盖 single-cell tumor profiling、ovarian cancer histotypes、primary tumor site、metastatic tumor site、ligand-receptor analysis，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《Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX》。配套论文《Bioinformatics analysis and verification of molecular targets in ovarian cancer stem-like cells》发表于 Heliyon（2020），DOI：10.1016/j.heliyon.2020.e04820。源站首次发布：2024-01-24。
【数据内容】
源站原始描述：Ovarian cancer is a highly heterogeneous disease consisting of at least five different histological subtypes with varying clinical features, cells of origin, molecular composition, risk factors, and treatments. While most single-cell studies have focused on High grade serous ovarian cancer, a comprehensive landscape of the constituent cell types and their interactions within the tumor microenvironment are yet to be established in the different ovarian cancer histotypes. Further characterization…
【数据结构与技术规格】
文件数 1 个，合计 20.91 KB。Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，20.91 KB。数据集 DOI：10.3389/fcell.2023.1297219.s016。
【主题与分类】
源站学科分类：Cell Biology、Cell Development, Proliferation and Death、Cell Metabolism、Cell Neurochemistry、Cellular Interactions (incl. Adhesion, Matrix, Cell Wall)、Marine Biology。主题标签：single-cell tumor profiling、ovarian cancer histotypes、primary tumor site、metastatic tumor site、ligand-receptor analysis、cell type annotation、cancer associated fibroblasts、tumor micro-environment。
【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://frontiersin.figshare.com/articles/dataset/Table5_Exploring_the_tumor_micro-environment_in_primary_and_metastatic_tumors_of_different_ovarian_cancer_histotypes_XLSX/25051652
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Xie, Bingqing; Olalekan, Susan; Back, Rebecca; Ashitey, Naa Asheley; Eckart, Heather; Basu, Anindita (2024). Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX. Frontiers. Dataset
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX
- DOI：10.3389/fcell.2023.1297219.s016
- 发布日期：2024-01-24
- 文件数：1 个
- 文件总体积：20.91 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Table5_Exploring_the_tumor_micro-environment_in_primary_and_metastatic_tumors_of_different_ovarian_cancer_histotypes_XLSX/25051652
命令行下载
curl -L -o "Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX" "https://ndownloader.figshare.com/files/44206583"
文件清单
Table5_Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.XLSX（20.91 KB）
文件总体积 20.91 KB（源站 API 实测）。
数据说明
Ovarian cancer is a highly heterogeneous disease consisting of at least five different histological subtypes with varying clinical features, cells of origin, molecular composition, risk factors, and treatments. While most single-cell studies have focused on High grade serous ovarian cancer, a comprehensive landscape of the constituent cell types and their interactions within the tumor microenvironment are yet to be established in the different ovarian cancer histotypes. Further characterization of tumor progression, metastasis, and various histotypes are also needed to connect molecular signatures to pathological grading for personalized diagnosis and tailored treatment. In this study, we leveraged high-resolution single-cell RNA sequencing technology to elucidate the cellular compositions on 21 solid tumor samples collected from 12 patients with six ovarian cancer histotypes and both primary (ovaries) and metastatic (omentum, rectum) sites. The diverse collection allowed us to deconstruct the histotypes and tumor site-specific expression patterns of cells in the tumor, and identify key marker genes and ligand-receptor pairs that are active in the ovarian tumor microenvironment. Our findings can be used in improving precision disease stratification and optimizing treatment options.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fcell.2023.1297219.s016（source: https://frontiersin.figshare.com/articles/dataset/Table5_Exploring_the_tumor_micro-environment_in_primary_and_metastatic_tumors_of_different_ovarian_cancer_histotypes_XLSX/25051652）。
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。
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