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The Relationship Between Gene Mutation and Pathological Type of Lung Cancer |
PANG Feng-rui1, QU Fang2, WU Bin1, ZHA Wen-ting1, LV Yuan1 |
Department of Epidemiology and Health Statistics, Medical College of Hunan Normal University, Hunan Province Changsha 410013, Chin |
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Abstract Objective: To investigate the relationship between gene mutation and pathological type of lung cancer, inspect and verify the consistency between homologous genes mutation in various pathologic type. Methods: Combined with the COSMIC and UniProt database, we obtained the reported overall big-sample mutation data of lung cancer and the protein sequences of the top 20 mutated genes, respectively. Analyze the data and cluster the protein sequences and then deduce the homologous gene. Ultimately, analyze the mutations of different pathological types of homologous genes. Results: TP53 (32.32%) has the highest mutation rate in lung cancer, followed by EGFR (29.12%). The copy number variability (CNV) of genes: KRAS, LRP1B, CDKN2A, KMT2C, FAT1, PIK3CA, RB1, ERBB4, GRIN2A and KDR between each pathological type is statically significant (P<0.05). The gene differential expression rate between adenocarcinoma and squamous carcinoma of gene TP53, KRAS, LRP1B, CDKN2A, STK11, FAT4, KMT2D, NFE2L2, KEAP1, PIK3CA, RB1, ERBB4, SMARCA4 and KDR are statistically significant (P<0.05). The similarity of the protein sequence of EGFR and ERBB4 can reach 93%, and FAT4 and FAT1 are 81%. For small cell carcinoma, there's no difference in CNV between the two groups of homologous genes, and no difference between FAT4 and FAT1 in adenocarcinoma. Conclusion: The CNV and gene expression of lung cancer-associated genes are relevant to pathologic types. GFR and ERBB4 are homologous, FAT4 and FAT1 are also among the top 20 mutation genes. Additionally, there's no difference in CNV between the two groups of small cell carcinoma, which is the same between FAT4 and FAT1 in adenocarcinoma.
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Received: 15 March 2018
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Fund:the Funding of Hunan Provincial Department of Education; grant number: [2014] No.247; [2016] No.400 |
Corresponding Authors:
ZHA Wen-ting. E-mail: 183259829@qq.com; LV Yuan. E-mail: 284792906@qq.com
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