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Article Open Access

Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis

  • Authors:
    • Xuan Pan
    • Xiaozhi Ji
    • Renmin Zhang
    • Zhaofei Zhou
    • Yuejiao Zhong
    • Wei Peng
    • Ning Sun
    • Xinyu Xu
    • Lei Xia
    • Pansong Li
    • Jianwei Lu
    • Jing Tu
  • View Affiliations / Copyright

    Affiliations: Department of Medical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, Jiangsu 210009, P.R. China, Department of Pathology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, Jiangsu 210009, P.R. China, Department of Research and Development, Geneplus‑Beijing Institute, Beijing 102206, P.R. China, State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, P.R. China
    Copyright: © Pan et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 4863-4870
    |
    Published online on: August 16, 2018
       https://doi.org/10.3892/ol.2018.9314
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Abstract

Gastric cancer is a highly heterogeneous disease and the second leading cause of cancer‑associated mortality. However, the genomic basis of gastric cancer is not completely understood and the underlying genetic heterogeneity has not been well studied. In the present study, 1,021 genes were sequenced and the somatic mutations of 45 formalin‑fixed, paraffin‑embedded gastric adenocarcinoma samples were assessed using next‑generation sequencing technologies. In the present study, a median sequencing coverage depth of 708‑fold was achieved. Somatic genomic alterations were detected in 37/45 patients (82.4%) and the most frequent genetic alterations identified were tumor protein P53 (TP53) gene mutations. Mutations in MLL4, ERBB3, FBXW7, MLL3, MTOR, NOTCH1, PIK3CA, KRAS, ERBB4 and EGFR were also detected. Patients with TP53 mutations had a higher number of somatic mutations, and the total number of somatic mutations was weakly correlated with patient age. These results provided data on the intratumoral heterogeneity of gastric cancer and may be used in order to develop personalized cancer therapy.
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Copy and paste a formatted citation
Spandidos Publications style
Pan X, Ji X, Zhang R, Zhou Z, Zhong Y, Peng W, Sun N, Xu X, Xia L, Li P, Li P, et al: Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis. Oncol Lett 16: 4863-4870, 2018.
APA
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W. ... Tu, J. (2018). Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis. Oncology Letters, 16, 4863-4870. https://doi.org/10.3892/ol.2018.9314
MLA
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W., Sun, N., Xu, X., Xia, L., Li, P., Lu, J., Tu, J."Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis". Oncology Letters 16.4 (2018): 4863-4870.
Chicago
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W., Sun, N., Xu, X., Xia, L., Li, P., Lu, J., Tu, J."Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis". Oncology Letters 16, no. 4 (2018): 4863-4870. https://doi.org/10.3892/ol.2018.9314
Copy and paste a formatted citation
x
Spandidos Publications style
Pan X, Ji X, Zhang R, Zhou Z, Zhong Y, Peng W, Sun N, Xu X, Xia L, Li P, Li P, et al: Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis. Oncol Lett 16: 4863-4870, 2018.
APA
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W. ... Tu, J. (2018). Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis. Oncology Letters, 16, 4863-4870. https://doi.org/10.3892/ol.2018.9314
MLA
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W., Sun, N., Xu, X., Xia, L., Li, P., Lu, J., Tu, J."Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis". Oncology Letters 16.4 (2018): 4863-4870.
Chicago
Pan, X., Ji, X., Zhang, R., Zhou, Z., Zhong, Y., Peng, W., Sun, N., Xu, X., Xia, L., Li, P., Lu, J., Tu, J."Landscape of somatic mutations in gastric cancer assessed using next‑generation sequencing analysis". Oncology Letters 16, no. 4 (2018): 4863-4870. https://doi.org/10.3892/ol.2018.9314
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