实体瘤二代测序分子分析:来自临床实验室的经验表5

包含3,164例实体瘤样本靶向NGS分子检测结果的表格数据集,用于评估临床相关变异、诊断阳性率及分子诊断应用。

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Table_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx

基本信息

模态
表格
大小
0.000013154 GB
许可
CC BY 4.0
创建/更新时间
2026-10-11
版本
v1

资源简介

实体瘤二代测序分子分析:来自临床实验室的经验表5

【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 13.15 KB,主题涵盖 solid tumor、NGS、lung cancer、colon cancer、melanoma,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_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx》。源站首次发布:2023-07-06。

【数据内容】

源站原始描述:BackgroundPersonalized targeted therapies have transformed management of several solid tumors. Timely and accurate detection of clinically relevant genetic variants in tumor is central to the implementation of molecular targeted therapies. To facilitate precise molecular testing in solid tumors, targeted next-generation sequencing (NGS) assays have emerged as a valuable tool. In this study, we provide an overview of the technical validation, diagnostic yields, and spectrum of variants observed i…

【数据结构与技术规格】

文件数 1 个,合计 13.15 KB。Table_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,13.15 KB。数据集 DOI:10.3389/fonc.2023.1208244.s005。

【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:solid tumor、NGS、lung cancer、colon cancer、melanoma。

【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_5_Molecular_profiling_of_solid_tumors_by_next-generation_sequencing_an_experience_from_a_clinical_laboratory_xlsx/23633592

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

规范引用:Bhai, Pratibha; Turowec, Jacob; Santos, Stephanie; Kerkhof, Jennifer; Pickard, LeeAnne; Foroutan, Aidin; et al. (2023). Table_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx. Frontiers. Dataset

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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。

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下载信息

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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_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx" "https://ndownloader.figshare.com/files/41469087"

文件清单

  • Table_5_Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory.xlsx(13.15 KB)

文件总体积 13.15 KB(源站 API 实测)。

数据说明

BackgroundPersonalized targeted therapies have transformed management of several solid tumors. Timely and accurate detection of clinically relevant genetic variants in tumor is central to the implementation of molecular targeted therapies. To facilitate precise molecular testing in solid tumors, targeted next-generation sequencing (NGS) assays have emerged as a valuable tool. In this study, we provide an overview of the technical validation, diagnostic yields, and spectrum of variants observed in 3,164 solid tumor samples that were tested as part of the standard clinical diagnostic assessment in an academic healthcare institution over a period of 2 years.
MethodsThe Ion Ampliseq™ Cancer Hotspot Panel v2 assay (ThermoFisher) that targets ~2,800 COSMIC mutations from 50 oncogenes and tumor suppressor genes was validated, and a total of 3,164 tumor DNA samples were tested in 2 years. A total of 500 tumor samples were tested by the comprehensive panel containing all the 50 genes. Other samples, including 1,375 lung cancer, 692 colon cancer, 462 melanoma, and 135 brain cancer, were tested by tumor-specific targeted subpanels including a few clinically actionable genes.
ResultsOf 3,164 patient samples, 2,016 (63.7%) tested positive for at least one clinically relevant variant. Of 500 samples tested by a comprehensive panel, 290 had a clinically relevant variant with TP53, KRAS, and PIK3CA being the most frequently mutated genes. The diagnostic yields in major tumor types were as follows: breast (58.4%), colorectal (77.6%), lung (60.4%), pancreatic (84.6%), endometrial (72.4%), ovary (57.1%), and thyroid (73.9%). Tumor-specific targeted subpanels also demonstrated high diagnostic yields: lung (69%), colon (61.2%), melanoma (69.7%), and brain (20.7%). Co-occurrence of mutations in more than one gene was frequently observed.
ConclusionsThe findings of our study demonstrate the feasibility of integrating an NGS-based gene panel screen as part of a standard diagnostic protocol for solid tumor assessment. High diagnostic rates enable significant clinical impact including improved diagnosis, prognosis, and clinical management in patients with solid tumors.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2023.1208244.s005(source: https://frontiersin.figshare.com/articles/dataset/Table_5_Molecular_profiling_of_solid_tumors_by_next-generation_sequencing_an_experience_from_a_clinical_laboratory_xlsx/23633592)。

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