2023,
Medicine.
DOI:
10.1097/MD.0000000000032559
Analysis of eEF1A2 gene expression and copy number in cervical carcinoma
Weinan Zheng
, Fuyuan Jin
, Fang Wang
, Luyue Wang
, Shaowei Fu
, Zemin Pan
, Haichen Long
Abstract:
Objective: To explore and analyze the expression of eukaryotic translation elongation factor 1 alpha 2 (eEF1A2) gene in cervical cancer tissues, its relationship with patient survival, gene mutations, and changes in copy number in cervical cancer and chronic cervicitis tissues.
Methods: The expression of the eEF1A2 gene in cervical cancer and its relationship with patient survival were analyzed using gene expression profile interactive analysis. Changes in eEF1A2 expression in cervical cancer tissues were analyzed using cBioPortal, a portal for cancer genomics analysis. The eEF1A2 copy number in cervical cancer tissues and chronic cervicitis tissues was determined by real-time fluorescence quantitative polymerase chain reaction. The relationship between the expression of eEF1A2 protein and the clinical stage, pathological grade, and patient survival of cervical cancer was analyzed by the database: The Human Protein Atlas, an integrated repository portal for tumor-immune system interactions.
Results: Gene expression profile interactive analysis database analysis showed no significant differences in the expression of eEF1A2 between cervical cancer and normal cervical tissues (P > .05). The eEF1A2 gene expression level was not correlated with the survival of cervical cancer patients (P > .05). Analysis of the cBioPortal database showed that 18 of 297 cervical cancer patients had eEF1A2 gene changes, including missense mutation, splice mutation, amplification, and messenger RNA increase. There was no significant difference in eEF1A2 gene copy number between cervical cancer and chronic cervicitis (P > .05). The Human Protein Atlas and an integrated repository portal for tumor-immune system interactions database analysis of immunohistochemical data showed that eEF1A2 protein expression was no significant difference in clinical stage, pathological grade and patient survival of cervical cancer (P > .05).
Conclusion: The eEF1A2 gene was mutated in cervical cancer tissues. The eEF1A2 gene copy number was not associated with changes in the expression of the eEF1A2 gene in cervical cancer tissues.
Methods: The expression of the eEF1A2 gene in cervical cancer and its relationship with patient survival were analyzed using gene expression profile interactive analysis. Changes in eEF1A2 expression in cervical cancer tissues were analyzed using cBioPortal, a portal for cancer genomics analysis. The eEF1A2 copy number in cervical cancer tissues and chronic cervicitis tissues was determined by real-time fluorescence quantitative polymerase chain reaction. The relationship between the expression of eEF1A2 protein and the clinical stage, pathological grade, and patient survival of cervical cancer was analyzed by the database: The Human Protein Atlas, an integrated repository portal for tumor-immune system interactions.
Results: Gene expression profile interactive analysis database analysis showed no significant differences in the expression of eEF1A2 between cervical cancer and normal cervical tissues (P > .05). The eEF1A2 gene expression level was not correlated with the survival of cervical cancer patients (P > .05). Analysis of the cBioPortal database showed that 18 of 297 cervical cancer patients had eEF1A2 gene changes, including missense mutation, splice mutation, amplification, and messenger RNA increase. There was no significant difference in eEF1A2 gene copy number between cervical cancer and chronic cervicitis (P > .05). The Human Protein Atlas and an integrated repository portal for tumor-immune system interactions database analysis of immunohistochemical data showed that eEF1A2 protein expression was no significant difference in clinical stage, pathological grade and patient survival of cervical cancer (P > .05).
Conclusion: The eEF1A2 gene was mutated in cervical cancer tissues. The eEF1A2 gene copy number was not associated with changes in the expression of the eEF1A2 gene in cervical cancer tissues.
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2023-06-24 23:55:00
龙海晨:
#paper Weinan Zheng, Fuyuan Jin, Fang Wang, Luyue Wang, Shaowei Fu, Zemin Pan, Haichen Long. Analysis of eEF1A2 gene expression and copy number in cervical carcinoma. Medicine (Baltimore). 2023 Jan 13;102(2):e32559. doi: 10.1097/MD.0000000000032559. PMID: 36637958; PMCID: PMC9839279. 这是我第一次作为独立通讯作者发的文章也是2023年发的第一篇文章。是群里分享的第二篇我作为作者的文章。因为是阴性结果，没有发到太好的杂志。杂志要求补实验数据时，赶上疫情，封在家里，所以用生物信息学补的。这是一篇分子生物学和生物信息学相结合的文章。主要研究eEF1A2基因拷贝数与宫颈癌患者临床分期、病理分级和患者生存率之间的关系。QPCR分析样本拷贝数。生物信息学数据库分析相关数据。发现，eEF1A2基因在癌症组织中发生突变。eEF1A2基因拷贝数与子宫颈癌症组织中eEF1A1基因表达的变化无关。