基于国际预后指数的弥漫大B细胞淋巴瘤免疫预后模型数据表4

弥漫大B细胞淋巴瘤基于国际预后指数构建免疫预后模型的补充数据表,含基因表达、突变及免疫检查点阻断反应分析。

NIAID Data Ecosystem
浏览 11
表格diffuse large B-cell lymphomaimmune prognostic modelnomogramimmunotherapytumor microenvironment
DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx

基本信息

模态
表格
大小
0.000832161 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

基于国际预后指数的弥漫大B细胞淋巴瘤免疫预后模型数据表4

【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 832.16 KB,主题涵盖 diffuse large B-cell lymphoma、immune prognostic model、nomogram、immunotherapy、tumor microenvironment,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《DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx》。配套论文《Evolving insights into the genomic complexity and immune landscape of diffuse large B-cell lymphoma: opportunities for novel biomarkers》发表于 Modern Pathology(2020),DOI:10.1038/s41379-020-0616-y。源站首次发布:2021-10-22。

【数据内容】

源站原始描述:BackgroundThe International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade (ICB). MethodsGene expression data and clinical DLBCL information were obtained from The Cancer Genome Atlas and Gene Expression Omnibus datasets. A total of 371 immune-related genes in DLBCL patients a…

【数据结构与技术规格】

文件数 1 个,合计 832.16 KB。DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,832.16 KB。数据集 DOI:10.3389/fimmu.2021.732006.s004。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:diffuse large B-cell lymphoma、immune prognostic model、nomogram、immunotherapy、tumor microenvironment。

【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/DataSheet_4_International_Prognostic_Index-Based_Immune_Prognostic_Model_for_Diffuse_Large_B-Cell_Lymphoma_xlsx/16852207

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

规范引用:Mu, Shidai; Shi, Deyao; Ai, Lisha; Fan, Fengjuan; Peng, Fei; Sun, Chunyan; et al. (2021). DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-09,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 "DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx" "https://ndownloader.figshare.com/files/31156399"

文件清单

  • DataSheet_4_International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma.xlsx(832.16 KB)

文件总体积 832.16 KB(源站 API 实测)。

数据说明

BackgroundThe International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade (ICB).
MethodsGene expression data and clinical DLBCL information were obtained from The Cancer Genome Atlas and Gene Expression Omnibus datasets. A total of 371 immune-related genes in DLBCL patients associated with different IPI risk groups were identified by weighted gene co-expression network analysis, and eight genes were selected to construct an IPI-based immune prognostic model (IPI-IPM). Subsequently, we analyzed the somatic mutation and transcription profiles of the IPI-IPM subgroups as well as the potential clinical response to immune checkpoint blockade (ICB) in IPI-IPM subgroups.
ResultsThe IPI-IPM was constructed based on the expression of CMBL, TLCD3B, SYNDIG1, ESM1, EPHA3, HUNK, PTX3, and IL12A, where high-risk patients had worse overall survival than low-risk patients, consistent with the results in the independent validation cohorts. The comprehensive results showed that high IPI-IPM risk scores were correlated with immune-related signaling pathways, high KMT2D and CD79B mutation rates, and upregulation of inhibitory immune checkpoints, including PD-L1, BTLA, and SIGLEC7, indicating a greater potential response to ICB therapy.
ConclusionThe IPI-IPM has independent prognostic significance for DLBCL patients, which provides an immunological perspective to elucidate the mechanisms of tumor progression and sheds light on the development of immunotherapy for DLBCL.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2021.732006.s004(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_4_International_Prognostic_Index-Based_Immune_Prognostic_Model_for_Diffuse_Large_B-Cell_Lymphoma_xlsx/16852207)。

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