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食管癌放射抵抗相关基因的筛选

朱青山, 李军扩, 刘维鹏, 马庭炜, 代宁涛, 冯连杰, 魏涛, 周福有

朱青山, 李军扩, 刘维鹏, 马庭炜, 代宁涛, 冯连杰, 魏涛, 周福有. 食管癌放射抵抗相关基因的筛选[J]. 肿瘤防治研究, 2019, 46(3): 227-232. DOI: 10.3971/j.issn.1000-8578.2019.18.1007
引用本文: 朱青山, 李军扩, 刘维鹏, 马庭炜, 代宁涛, 冯连杰, 魏涛, 周福有. 食管癌放射抵抗相关基因的筛选[J]. 肿瘤防治研究, 2019, 46(3): 227-232. DOI: 10.3971/j.issn.1000-8578.2019.18.1007
ZHU Qingshan, LI Junkuo, LIU Weipeng, MA Tingwei, DAI Ningtao, FENG Lianjie, WEI Tao, ZHOU Fuyou. Microarray Analysis of Radioresistance-associated Genes in Esophageal Squamous Cell Carcinoma[J]. Cancer Research on Prevention and Treatment, 2019, 46(3): 227-232. DOI: 10.3971/j.issn.1000-8578.2019.18.1007
Citation: ZHU Qingshan, LI Junkuo, LIU Weipeng, MA Tingwei, DAI Ningtao, FENG Lianjie, WEI Tao, ZHOU Fuyou. Microarray Analysis of Radioresistance-associated Genes in Esophageal Squamous Cell Carcinoma[J]. Cancer Research on Prevention and Treatment, 2019, 46(3): 227-232. DOI: 10.3971/j.issn.1000-8578.2019.18.1007

食管癌放射抵抗相关基因的筛选

基金项目: 

安阳市科技攻关计划 201617

详细信息
    作者简介:

    朱青山(1971-),男,硕士,主任医师,主要从事肿瘤的综合治疗

    通信作者:

    周福有,E-mail: ayzhoufuyou@163.com

  • 中图分类号: R735.1

Microarray Analysis of Radioresistance-associated Genes in Esophageal Squamous Cell Carcinoma

More Information
  • 摘要:
    目的 

    筛选与食管癌放射抵抗相关的基因,为指导临床个体化治疗打下基础。

    方法 

    采用基因芯片技术检测放疗疗效差异最大的两组患者之间差异明显的CNV片段,筛选出这些CNV片段中的代表性基因。进一步从筛选出的高度相关的代表性基因中,利用qPCR进行验证。

    结果 

    基因芯片筛查的结果得到显著差异的CNV片段共5个,分别位于3、4、8、11、17号染色体,其中拷贝数缺失的(CN Loss)3个,增加的(CN Gain)1个,杂合性缺失的(LOH)1个。代表性基因分别为ROBO1、NSD2、CSMD3、CADM1、NF1。qPCR验证的放射抵抗相关基因为NSD2和CADM1,主要涉及DNA损伤修复通路和细胞黏附。

    结论 

    基因芯片筛选食管癌放射抵抗相关分子标记具有可行性。NSD2和CADM1可能是与食管癌放射抵抗的相关位点。

     

    Abstract:
    Objective 

    To identify the novel radioresistance-associated genes in esophageal squamous cell carcinoma and build a foundation for the individualized radiotherapy.

    Methods 

    Two groups of ESCC patients were selected: radiosensitive group (S) and radioresistant group (R). Copy number variation(CNV) profiles of the selected ESCC tissues were screened using genechip microarray to obtain significant symbolic genes. Furthermore, qPCR analysis was used to confirm the results of the microarray.

    Results 

    Microarray assay results showed that the significant differences of CNVs occurred in chromosomes 3, 4, 8, 11 and 17, respectively. The symbolic genes were ROBO1 (CN Loss), NSD2 (CN Loss), CSMD3 (CN Gain), CADM1 (CN Loss) and NF1(LOH). Further, qPCR results demonstrated the radioresistant genes were NSD2 and CADM1 which were related to DNA damage repair and cell adhesion, respectively.

    Conclusion 

    The application of genechip microarray technique in CNV profiles screening is a powerful strategy to identify novel radioresistance-associated biomarkers of ESCC. NSD2 and CADM1 may be the radioresistance-associated candidate genes in ESCC.

     

  • 作者贡献
    朱青山:立题、主持研究、论文撰写
    李军扩:病理资料采集
    刘维鹏:病例采集、参考文献搜索
    马庭炜:患者资料统计
    代宁涛:协助病理资料采集、联系相关公司进行基因检测
    冯连杰:课题设计
    魏涛:数据分析
    周福有:立项及课题指导
  • 图  1   10例食管癌样本中的拷贝数变异(CNV)图示

    Figure  1   Compact copy number variance(CNV) in 10 cases of ESCC samples

    图  2   10例食管癌样本中拷贝数变异(CNV)的染色体G带图

    Figure  2   Ideogram of CNV in Chromosome G band in 10 cases of ESCC samples

    图  3   内参基因扩增曲线及溶解曲线

    Figure  3   Amplification and dissolution curves of reference genes

    图  4   ROBO1基因扩增曲线及溶解曲线

    Figure  4   Amplification and dissolution curves of ROBO1 gene

    图  5   NSD2基因扩增曲线及溶解曲线

    Figure  5   Amplification and dissolution curves of NSD2 gene

    图  6   CSMD3基因扩增曲线及溶解曲线

    Figure  6   Amplification and dissolution curves of CSMD3 gene

    图  7   CADM1基因扩增曲线及溶解曲线

    Figure  7   Amplification and dissolution curves of CADM1 gene

    图  8   NF1基因扩增曲线及溶解曲线

    Figure  8   Amplification and dissolution curves of NF1 gen

    表  1   放射敏感组(S组)和放射抗拒组(R组)患者的一般临床资料(例)

    Table  1   Clinical data of radiosensitive (S) and radio-resistant (R) groups (n)

    下载: 导出CSV

    表  2   放射敏感组(S组)和放射抵抗组(R组)患者的芯片分析结果

    Table  2   Gene chip analysis results of radiosensitive (S) and radioresistant (R) groups

    下载: 导出CSV

    表  3   5个筛选基因的qPCR结果(x±s, n=10)

    Table  3   qPCR results of five genes (x±s, n=10)

    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-07-22
  • 修回日期:  2018-11-22
  • 网络出版日期:  2024-01-12
  • 刊出日期:  2019-03-24

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