表4_DDR1作为非小细胞肺癌关键预后生物标志物:识别、验证与潜在治疗意义

包含DDR1在非小细胞肺癌中的表达、预后、免疫微环境及药物敏感性分析的表格数据,支持预后生物标志物验证。

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表格discoidin domain receptor 1non-small cell lung cancerbioinformaticsmachine learningimmunotherapy
Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx

基本信息

模态
表格
大小
0.000024736 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

表4_DDR1作为非小细胞肺癌关键预后生物标志物:识别、验证与潜在治疗意义

【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 24.74 KB,主题涵盖 discoidin domain receptor 1、non-small cell lung cancer、bioinformatics、machine learning、immunotherapy,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《Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx》。配套论文《Current status of immunotherapy for non-small cell lung cancer》发表于 Frontiers in Pharmacology(2022),DOI:10.3389/fphar.2022.989461。源站首次发布:2025-11-28。

【数据内容】

源站原始描述:BackgroundNon-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death, with a limited response to immune checkpoint inhibitors (ICIs). Discoidin domain receptor 1 (DDR1) is a collagen-binding kinase that is implicated in tumor progression and immune escape, but its role in NSCLC is unclear. This study aimed to clarify the clinical significance and therapeutic potential of DDR1 via bioinformatics, machine learning, in vitro experiments, and clinical sample analysis. Mater…

【数据结构与技术规格】

文件数 1 个,合计 24.74 KB。Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,24.74 KB。数据集 DOI:10.3389/fimmu.2025.1690829.s004。

【主题与分类】

源站学科分类:Genetic Immunology。主题标签:discoidin domain receptor 1、non-small cell lung cancer、bioinformatics、machine learning、immunotherapy。

【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/Table_4_DDR1_as_a_key_prognostic_biomarker_in_non-small_cell_lung_cancer_identification_validation_and_potential_therapeutic_implications_xlsx/30737441

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

规范引用:Lu, RenCai; Qian, Lu; Sun, XueQin; Zhang, JianFang; Cui, YeQian; Su, HuiMei; et al. (2025). Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx. Frontiers. Dataset

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下载信息

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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。

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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 "Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx" "https://ndownloader.figshare.com/files/59916401"

文件清单

  • Table 4_DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications.xlsx(24.74 KB)

文件总体积 24.74 KB(源站 API 实测)。

数据说明

BackgroundNon-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death, with a limited response to immune checkpoint inhibitors (ICIs). Discoidin domain receptor 1 (DDR1) is a collagen-binding kinase that is implicated in tumor progression and immune escape, but its role in NSCLC is unclear. This study aimed to clarify the clinical significance and therapeutic potential of DDR1 via bioinformatics, machine learning, in vitro experiments, and clinical sample analysis.
Materials and MethodsNSCLC patients were stratified by DDR1 expression based on retrospective RNA-seq data from The Cancer Genome Atlas (TCGA); after quality control, 495 lung adenocarcinoma (LUAD) and 481 lung squamous cell carcinoma (LUSC) tumor samples, together with 57 LUAD and 48 LUSC normal samples, were retained for further analysis. The analyses included survival, mutation, immune landscape, drug sensitivity, single-cell heterogeneity, and functional Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, accounting for the heterogeneity among NSCLC subtypes. A machine learning-based 4-gene prognostic model was constructed and externally validated using two independent datasets: GSE30219 (GPL570 platform, 278 NSCLC samples) and GSE41271 (GPL6884 platform, 274 NSCLC samples). The biological functions of DDR1 were further evaluated via in vitro assays and immunohistochemistry (IHC) of clinical samples.
ResultsHigh DDR1 expression was correlated with advanced T stage (POur study demonstrated that DDR1 promotes tumor progression and immune evasion and is frequently overexpressed in NSCLC patients, suggesting that DDR1 is a potential prognostic biomarker and therapeutic target.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2025.1690829.s004(source: https://frontiersin.figshare.com/articles/dataset/Table_4_DDR1_as_a_key_prognostic_biomarker_in_non-small_cell_lung_cancer_identification_validation_and_potential_therapeutic_implications_xlsx/30737441)。

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