Detection of gene mutations in gastric cancer tissues using a commercial sequencing panel.

Bibliographic Details
Title: Detection of gene mutations in gastric cancer tissues using a commercial sequencing panel.
Authors: Ito, Tomoaki1 (AUTHOR) tomo-ito@juntendo.ac.jp, Matoba, Ryo2 (AUTHOR), Maekawa, Hiroshi1 (AUTHOR), Sakurada, Mutsumi1 (AUTHOR), Kushida, Tomoyuki1 (AUTHOR), Orita, Hajime1 (AUTHOR), Wada, Ryo3 (AUTHOR), Sato, Koichi1 (AUTHOR)
Source: Molecular & Clinical Oncology. Nov2019, Vol. 11 Issue 5, p455-460. 6p.
Subject Terms: *STOMACH cancer, *ADJUVANT treatment of cancer, *GENETIC disorders, *ADENOMATOUS polyposis coli, *DRUG efficacy
Abstract: Predicting malignancy is important for adequate adjuvant therapy in patients with cancer. Due to cancer being a genetic disease, the detection of gene mutations could be helpful in predicting the prognosis and efficacy of drugs. Gastric cancer is the fifth most common cancer and is the third leading cause of cancer associated mortality worldwide. Mutations in genes may correlate with clinical information in patients with gastric cancer after surgery and, therefore, may be useful for predicting the prognosis of this disease. In the present study, to assess the usefulness of a commercial sequencing panel, TruSeq® Amplicon-Cancer Panel (Illumina), using a next-generation sequencer (Illumina MiSeq), mutation analysis of fresh as well as formalin-fixed paraffin-embedded (FFPE) gastric cancer tissues was performed retrospectively. The study group comprised of 4 patients who underwent gastrectomy for gastric cancer. Cancer and normal stomach tissues were collected immediately following surgical removal. Thereafter, the specimens were fixed in 10% neutral formalin for 24–72 h. Normal and FFPE cancer tissues were histologically examined and confirmed. A total of 3 mutations were identified in the driver genes (KRAS, TP53 and APC) in cancer tissues from 2 of the 4 patients, using fresh samples. In addition, FFPE samples were analysed for the same tissues and the same results were obtained by setting the threshold for the percentage of the mutation rate to avoid detection of pseudo-positive mutations. In conclusion, the sequencing analysis using FFPE-derived DNA samples was successfully performed. [ABSTRACT FROM AUTHOR]
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ISSN:20499450
DOI:10.3892/mco.2019.1926
Published in:Molecular & Clinical Oncology
Language:English