PDAC易感基因序列变异解释的多层注释数据表

包含535名PDAC患者种系变异的多层注释数据,涉及易感基因变异解释及其与预后的关联。

NIAID Data Ecosystem
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表格pancreatic cancergenetic predispositionmedical oncologyprecision oncologygenomic data interpretationsurvival analysisstructural bioinformatics
DataSheet_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Cohort Level

基本信息

模态
表格
大小
0.000072489 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

PDAC易感基因序列变异解释的多层注释数据表

【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 72.49 KB,主题涵盖 pancreatic cancer、genetic predisposition、medical oncology、precision oncology、genomic data interpretation,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_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Cohort Level.xlsx》。源站首次发布:2021-03-05。

【数据内容】

源站原始描述:We investigated germline variation in pancreatic ductal adenocarcinoma (PDAC) predisposition genes in 535 patients, using a custom-built panel and a new complementary bioinformatic approach. Our panel assessed genes belonging to DNA repair, cell cycle checkpoints, migration, and preneoplastic pancreatic conditions. Our bioinformatics approach integrated annotations of variants by using data derived from both germline and somatic references. This integrated approach with expanded evidence enabled…

【数据结构与技术规格】

文件数 1 个,合计 72.49 KB。DataSheet_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Coho.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,72.49 KB。数据集 DOI:10.3389/fonc.2021.606820.s002。

【主题与分类】

源站学科分类:Cancer、Haematological Tumours、Radiation Therapy、Solid Tumours、Oncology and Carcinogenesis not elsewhere classified、Molecular Targets。主题标签:pancreatic cancer、genetic predisposition、medical oncology、precision oncology、genomic data interpretation、survival analysis、structural bioinformatics。

【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_2_Interpreting_Sequence_Variation_in_PDAC-Predisposing_Genes_Using_a_Multi-Tier_Annotation_Approach_Performed_at_the_Gene_Patient_and_Cohort_Level_xlsx/14168984

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

规范引用:Zimmermann, Michael T.; Mathison, Angela J.; Stodola, Tim; Evans, Douglas B.; Abrudan, Jenica L.; Demos, Wendy; et al. (2021). DataSheet_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Cohort Level.xlsx. Frontier…

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

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陕川双基地 × 超十家三甲医院直连

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下载信息

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "DataSheet_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Coho.xlsx" "https://ndownloader.figshare.com/files/26703059"

文件清单

  • DataSheet_2_Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Coho.xlsx(72.49 KB)

文件总体积 72.49 KB(源站 API 实测)。

数据说明

We investigated germline variation in pancreatic ductal adenocarcinoma (PDAC) predisposition genes in 535 patients, using a custom-built panel and a new complementary bioinformatic approach. Our panel assessed genes belonging to DNA repair, cell cycle checkpoints, migration, and preneoplastic pancreatic conditions. Our bioinformatics approach integrated annotations of variants by using data derived from both germline and somatic references. This integrated approach with expanded evidence enabled us to consider patterns even among private mutations, supporting a functional role for certain alleles, which we believe enhances individualized medicine beyond classic gene-centric approaches. Concurrent evaluation of three levels of evidence, at the gene, sample, and cohort level, has not been previously done. Overall, we identified in PDAC patient germline samples, 12% with mutations previously observed in pancreatic cancers, 23% with mutations previously discovered by sequencing other human tumors, and 46% with mutations with germline associations to cancer. Non-polymorphic protein-coding pathogenic variants were found in 18.4% of patient samples. Moreover, among patients with metastatic PDAC, 16% carried at least one pathogenic variant, and this subgroup was found to have an improved overall survival (22.0 months versus 9.8; p=0.008) despite a higher pre-treatment CA19-9 level (p=0.02). Genetic alterations in DNA damage repair genes were associated with longer overall survival among patients who underwent resection surgery (92 months vs. 46; p=0.06). ATM alterations were associated with more frequent metastatic stage (p = 0.04) while patients with BRCA1 or BRCA2 alterations had improved overall survival (79 months vs. 39; p=0.05). We found that mutations in genes associated with chronic pancreatitis were more common in non-white patients (p<0.001) and associated with longer overall survival (52 months vs. 26; p=0.004), indicating the need for greater study of the relationship among these factors. More than 90% of patients were found to have variants of uncertain significance, which is higher than previously reported. Furthermore, we generated 3D models for selected

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2021.606820.s002(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_2_Interpreting_Sequence_Variation_in_PDAC-Predisposing_Genes_Using_a_Multi-Tier_Annotation_Approach_Performed_at_the_Gene_Patient_and_Cohort_Level_xlsx/14168984)。

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。

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