Barrier‑to‑autointegration factor 1: A novel biomarker for gastric cancer

Li,Junjun; Hu,Bingbing; Fang,Lei; Gao,Yang; Shi,Shuai; He,Haoyu; Liu,Xiaomei; Yuan,Caijun

doi:10.3892/ol.2018.9432

Barrier‑to‑autointegration factor 1: A novel biomarker for gastric cancer

Authors:
- Junjun Li
- Bingbing Hu
- Lei Fang
- Yang Gao
- Shuai Shi
- Haoyu He
- Xiaomei Liu
- Caijun Yuan
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Affiliations: Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121000, P.R. China, Department of Infectious Diseases, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453000, P.R. China, Department of Pathology and Pathophysiology, Jinzhou Medical University, Jinzhou, Liaoning 121001, P.R. China
Published online on: September 11, 2018 https://doi.org/10.3892/ol.2018.9432
Pages: 6488-6494
Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

China is a country with a high incidence of gastric cancer (GC), where the GC incidence and the resultant mortality rates account for 50% of those worldwide. Surgical resection remains the primary treatment for GC. However, postoperative patients have a poor prognosis as the majority of patients present with metastases at the time of diagnosis. Therefore, the identification of novel treatment targets is required. The present study aimed to determine the effects of barrier‑to‑autointegration factor 1 (BANF1) on the clinical features and prognosis of GC, which may aid in discovering a novel tumor diagnostic biomarker and treatment target. The BANF1 gene expression profiles for normal and gastric tumor tissues were downloaded from the Gene Expression Omnibus GSE54129 data set to analyse the expression of BANF1 at the mRNA levels. Then, online survival analysis was performed using the GC database with the Kaplan‑Meier Plotter (http://kmplot.com/analysis/) data. To examine the association between BANF1 and clinical features and prognosis, 132 postoperative GC pathological specimens were collected for immunohistochemical analyses. In the GSE54129 data sets, BANF1 expression at the mRNA level was significantly higher in the tumor tissue compared with that in the normal tissue. The same result was obtained in following the immunohistochemical analyses. In addition, BANF1 expression was associated with the patient age, tumor differentiation and infiltration depth. The survival time of BANF1 high‑expression patients was shorter compared with that of the low‑expression patients, and tumor differentiation status and tumor node metastasis stage were independent prognostic factors of the overall survival of patients with GC. The results of the present study suggest that BANF1 is associated with the clinical features and prognosis of GC. It may be a novel indicator of tumor prognosis and a potential therapeutic target for GC.

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