黑色素瘤常规多重突变谱分析助力基因型驱动治疗试验入组

该数据集围绕黑色素瘤,采用多重突变谱检测6个基因中43个常见体细胞点突变,并用于基因型驱动治疗试验入组评估。

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基因组multiplexmutationalprofilingmelanomasenablesenrollmentgenotype-driventherapeutictrials
Routine Multiplex Mutational Profiling of Melanomas Enables Enrollment in Genotype-Driven Therapeutic Trials

基本信息

模态
基因组
大小
0.00380717 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

黑色素瘤常规多重突变谱分析助力基因型驱动治疗试验入组

【一句话概览】

本数据集是 figshare 公开的组学数据集,收录 15 个文件、合计 3.81 MB,主题涵盖 multiplex、mutational、profiling、melanomas、enables,可用于生物标志物发现与分子分型研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Routine Multiplex Mutational Profiling of Melanomas Enables Enrollment in Genotype-Driven Therapeutic Trials》。配套论文《Routine Multiplex Mutational Profiling of Melanomas Enables Enrollment in Genotype-Driven Therapeutic Trials》发表于 PLoS ONE(2012),DOI:10.1371/journal.pone.0035309。源站首次发布:2012-04-20。

【数据内容】

源站原始描述:Purpose Knowledge of tumor mutation status is becoming increasingly important for the treatment of cancer, as mutation-specific inhibitors are being developed for clinical use that target only sub-populations of patients with particular tumor genotypes. Melanoma provides a recent example of this paradigm. We report here development, validation, and implementation of an assay designed to simultaneously detect 43 common somatic point mutations in 6 genes (BRAF, NRAS, KIT, GNAQ, GNA11, and CTNNB1)…

【数据结构与技术规格】

文件数 15 个,合计 3.81 MB。Figure_S1.tif:image/tiff,1.76 MB。Figure_S2.tif:image/tiff,139.84 KB。Figure_S3.tif:image/tiff,196.28 KB。数据集 DOI:10.1371/journal.pone.0035309。

【主题与分类】

源站学科分类:Cancer、Developmental Biology、Genetics。主题标签:multiplex、mutational、profiling、melanomas、enables、enrollment、genotype-driven、therapeutic、trials。

【适用方向】

组学数据适用于生物标志物发现与分子分型相关建模研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Routine_Multiplex_Mutational_Profiling_of_Melanomas_Enables_Enrollment_in_Genotype_Driven_Therapeutic_Trials/126040

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

规范引用:M. Lovly, Christine; Brown Dahlman, Kimberly; E. Fohn, Laurel; Su, Zengliu; Dias-Santagata, Dora; J. Hicks, Donna; et al. (2016). Routine Multiplex Mutational Profiling of Melanomas Enables Enrollment in Genotype-Driven Therapeutic Trials. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-30,引用时请注意版本时效。

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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。

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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 "Figure_S1.tif" "https://ndownloader.figshare.com/files/334382"
curl -L -o "Figure_S2.tif" "https://ndownloader.figshare.com/files/334432"
curl -L -o "Figure_S3.tif" "https://ndownloader.figshare.com/files/334465"
curl -L -o "Methods_S1.docx" "https://ndownloader.figshare.com/files/334494"
curl -L -o "Table_S1.doc" "https://ndownloader.figshare.com/files/334724"
curl -L -o "Table_S2.doc" "https://ndownloader.figshare.com/files/334792"
curl -L -o "Table_S3.doc" "https://ndownloader.figshare.com/files/334858"
curl -L -o "Table_S4.doc" "https://ndownloader.figshare.com/files/334944"

文件清单

  • Figure_S1.tif(1.76 MB)
  • Figure_S2.tif(139.84 KB)
  • Figure_S3.tif(196.28 KB)
  • Methods_S1.docx(1.07 MB)
  • Table_S1.doc(52.74 KB)
  • Table_S2.doc(52.74 KB)
  • Table_S3.doc(74.75 KB)
  • Table_S4.doc(68.61 KB)
  • Table_S5.doc(44.54 KB)
  • Table_S6.doc(56.32 KB)
  • Table_S7.doc(92.67 KB)
  • Table_S8.doc(62.98 KB)
  • Table_S9.doc(56.32 KB)
  • Table_S10.docx(37.95 KB)
  • Table_S11.doc(40.45 KB)

文件总体积 3.81 MB(源站 API 实测)。

数据说明

Purpose
Knowledge of tumor mutation status is becoming increasingly important for the treatment of cancer, as mutation-specific inhibitors are being developed for clinical use that target only sub-populations of patients with particular tumor genotypes. Melanoma provides a recent example of this paradigm. We report here development, validation, and implementation of an assay designed to simultaneously detect 43 common somatic point mutations in 6 genes (BRAF, NRAS, KIT, GNAQ, GNA11, and CTNNB1) potentially relevant to existing and emerging targeted therapies specifically in melanoma.
Methods
The test utilizes the SNaPshot method (multiplex PCR, multiplex primer extension, and capillary electrophoresis) and can be performed rapidly with high sensitivity (requiring 5–10% mutant allele frequency) and minimal amounts of DNA (10–20 nanograms). The assay was validated using cell lines, fresh-frozen tissue, and formalin-fixed paraffin embedded tissue. Clinical characteristics and the impact on clinical trial enrollment were then assessed for the first 150 melanoma patients whose tumors were genotyped in the Vanderbilt molecular diagnostics lab.
Results
Directing this test to a single disease, 90 of 150 (60%) melanomas from sites throughout the body harbored a mutation tested, including 57, 23, 6, 3, and 2 mutations in BRAF, NRAS, GNAQ, KIT, and CTNNB1, respectively. Among BRAF V600 mutations, 79%, 12%, 5%, and 4% were V600E, V600K, V600R, and V600M, respectively. 23 of 54 (43%) patients with mutation harboring metastatic disease were subsequently enrolled in genotype-driven trials.
Conclusion
We present development of a simple mutational profiling screen for clinically relevant mutations in melanoma. Adoption of this genetically-informed approach to the treatment of melanoma has already had an impact on clinical trial enrollment and prioritization of therapy for patients with the disease.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0035309(source: https://plos.figshare.com/articles/dataset/Routine_Multiplex_Mutational_Profiling_of_Melanomas_Enables_Enrollment_in_Genotype_Driven_Therapeutic_Trials/126040)。

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