ALOX12:贝伐珠单抗反应、免疫治疗效果和结直肠癌预后的新见解

包含结直肠癌患者ALOX12表达与贝伐珠单抗反应、免疫治疗及预后相关数据的表格数据集。

NIAID Data Ecosystem
浏览 13
表格ALOX12colorectal cancerbevacizumabprognosisimmunotherapymulti-omicsbiomarker
Table_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer

基本信息

模态
表格
大小
0.000014838 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

ALOX12:贝伐珠单抗反应、免疫治疗效果和结直肠癌预后的新见解

【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 14.84 KB,主题涵盖 ALOX12、colorectal cancer、bevacizumab、prognosis、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_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer.xlsx》。配套论文《Immunotherapy in colorectal cancer: rationale, challenges and potential》发表于 Nature Reviews Gastroenterology & Hepatology(2019),DOI:10.1038/s41575-019-0126-x。源站首次发布:2022-06-27。

【数据内容】

源站原始描述:Colorectal cancer is a highly malignant cancer with poor prognosis and mortality rates. As the first biological agent approved for metastatic colorectal cancer (mCRC), bevacizumab was confirmed to exhibit good performance when combined with chemotherapy and immunotherapy. However, the efficacy of both bevacizumab and immunotherapy is highly heterogeneous across CRC patients with different stages. Thus, exploring a novel biomarker to comprehensively assess the prognosis and bevacizumab and immuno…

【数据结构与技术规格】

文件数 1 个,合计 14.84 KB。Table_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,14.84 KB。数据集 DOI:10.3389/fimmu.2022.910582.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:ALOX12、colorectal cancer、bevacizumab、prognosis、immunotherapy、multi-omics、biomarker。

【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_1_ALOX12_A_Novel_Insight_in_Bevacizumab_Response_Immunotherapy_Effect_and_Prognosis_of_Colorectal_Cancer_xlsx/20156006

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

规范引用:Weng, Siyuan; Liu, Zaoqu; Xu, Hui; Ge, Xiaoyong; Ren, Yuqing; Dang, Qin; et al. (2022). Table_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer.xlsx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-17,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 "Table_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer.xlsx" "https://ndownloader.figshare.com/files/36041696"

文件清单

  • Table_1_ALOX12: A Novel Insight in Bevacizumab Response, Immunotherapy Effect, and Prognosis of Colorectal Cancer.xlsx(14.84 KB)

文件总体积 14.84 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

Colorectal cancer is a highly malignant cancer with poor prognosis and mortality rates. As the first biological agent approved for metastatic colorectal cancer (mCRC), bevacizumab was confirmed to exhibit good performance when combined with chemotherapy and immunotherapy. However, the efficacy of both bevacizumab and immunotherapy is highly heterogeneous across CRC patients with different stages. Thus, exploring a novel biomarker to comprehensively assess the prognosis and bevacizumab and immunotherapy response of CRC is of great significance. In our study, weighted gene co-expression network analysis (WGCNA) and the receiver operating characteristic (ROC) curves were employed to identify bevacizumab-related genes. After verification in four public cohorts and our internal cohort, ALOX12 was identified as a key gene related to bevacizumab response. Prognostic analysis and in vitro experiments further demonstrated that ALOX12 was closely associated with the prognosis, tumor proliferation, invasion, and metastasis. Multi-omics data analysis based on mutation and copy number variation (CNV) revealed that RYR3 drove the expression of ALOX12 and the deletion of 17p12 inhibited ALOX12 expression, respectively. Moreover, we interrogated the relationship between ALOX12 and immune cells and checkpoints. The results exhibited that high ALOX12 expression predicted a higher immune infiltration and better immunotherapy response, which was further validated in Tumor Immune Dysfunction and Exclusion (TIDE) and Subclass Mapping (SubMap) methods. Above all, our study provides a stable biomarker for clinical protocol optimization, prognostic assessment, precise treatment, and individualized treatment of CRC.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2022.910582.s004(source: https://frontiersin.figshare.com/articles/dataset/Table_1_ALOX12_A_Novel_Insight_in_Bevacizumab_Response_Immunotherapy_Effect_and_Prognosis_of_Colorectal_Cancer_xlsx/20156006)。

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