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Difference of molecular alterations in HER2-positive and HER2-negative gastric cancers by whole-genome sequencing analysis

OBJECTIVE: The aim of this study was to compare the molecular profiling, including somatic mutation and somatic copy number variation (SCNV), between human epidermal growth factor receptor 2 (HER2)-positive (HER2+) and HER2-negative (HER2−) gastric cancer patients. PATIENTS AND METHODS: Tumor sample...

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Detalles Bibliográficos
Autores principales: Zhou, Chenfei, Feng, Xiaojing, Yuan, Fei, Ji, Jun, Shi, Min, Yu, Yingyan, Zhu, Zhenggang, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165778/
https://www.ncbi.nlm.nih.gov/pubmed/30310315
http://dx.doi.org/10.2147/CMAR.S172710
Descripción
Sumario:OBJECTIVE: The aim of this study was to compare the molecular profiling, including somatic mutation and somatic copy number variation (SCNV), between human epidermal growth factor receptor 2 (HER2)-positive (HER2+) and HER2-negative (HER2−) gastric cancer patients. PATIENTS AND METHODS: Tumor samples were collected from 15 gastric cancer patients, including 10 HER2+ samples and five HER2− samples, which were diagnosed by immunohistochemistry. Whole-genome sequencing was performed by Illumina HiSeq PE150 instrument, along with somatic single nucleotide variant (SNV), somatic structural variation (SV) and SCNV analyses. RESULTS: The average number of somatic SNVs and mutation spectrum were similar between HER2+ and HER2− samples. Transition of C>T was the main type of mutation. For somatic SV, number of intrachromosomal translocation (2,850.3±1,260.4 vs 1,157±586.6, P=0.015) and insertion of large fragment (1,125.6±457.4 vs 500±138.9, P=0.002) in HER2+ samples were higher than those in HER2− samples. For all samples, lysine methyltransferase 2C (KMT2C), ZNF91, TAF1 and MAP4 genes were identified as new significant mutated driver genes. KMT2C gene mutations were mainly detected in HER2+ samples (7/10), which were correlated with the lysine degradation pathway. SERF2 gene mutations were more common in HER2− samples (3/5) than in HER2+ samples (1/10). Copy number gain was the major type of SCNV in both groups, and the average number of SCNVs was similar. In the HER2+ samples, by using the GISTIC algorithm, amplification of known driver genes cyclin-dependent kinase 12 (CDK12, 6/10) and RARA (5/10) was mainly observed, and other amplifications including JUP, GJD3, KRT39, CDC6, RAPGEFL1, WIPF2, FAM65C, KLF5, DACH1 and PIBF1 genes were also observed. Amplifications of solute carrier family 12 member 7 (SLC12A7, 5/5), TTC40 (4/5) and GALNT9 (4/5) genes were mainly detected in HER2− samples. CONCLUSION: Differences in genomic landscape between HER2+ and HER2− gastric cancer samples were revealed in this study. KMT2C mutation and CDK12 amplification were mainly detected in HER2+ gastric cancer, whereas SERF2 mutation and SLC12A7 amplification were detected in HER2− gastric cancer.