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Genetic analysis in early age of onset lung cancer patie

Genetic analysis in early age of onset lung cancer patie
肺癌患者早期发病的基因分析
批准号:
7330818
负责人:
Jin Jen
金额:
$0.0万
依托单位国家:
美国
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财政年份:
--
资助国家:
美国
项目状态:
未结题
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中文摘要
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英文摘要
To test this hypothesis, w analyzed paired 60 lung adenocarcinomas and adjacent non-tumor tissues from patients who were less than 50, older than 79, or between 57-72 years of age at the time of diagnosis for the presence of LOH in five commonly affected chromosome arms including 3p, 3q, 9p, 17p, and 19p. This approach led use to identify a small region on ch. 3p as the region most strongly associated with patients who had lung cancers younger than age 50. In the past year, we identified a small set of candidate genes in this region as potetial targets of inactivation in lung tumors of early age onset patients. Our data is the first to provide direct evidence linking lung cancer susceptibility in extreme-age populations to a specific genetic alteration in the human genome. We are now sequence these candidate genes in primary tumors and the matched normal lungs to determine if genetic alterations in these genes might contribute to lung cancer development. Additional studies are also underway to determine the cellular location of these genes and their potential molecular function in cell growth and tumor formation.
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Transcriptome map in non-small cell lung cancer
Gene expression profiles in lung cancer using cDNA array
Mechanisms of gene expression changes in lung cancer
Development of non-small cell lung cancer tissue microar
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: