Article Text

Download PDFPDF
Detection of a 5-circRNA signature to improve prognostic prediction in gastric cancer
  1. Fengjiao Wang1,
  2. Xuexin Li2,
  3. Xingkai Zhao3,
  4. Yingwei Xue4
  1. 1 Department of Thoracic Surgery, Cancer Hospital, Harbin Medical University, Harbin, China
  2. 2 Department of Urinary Surgery, Cancer Hospital, Harbin Medical University, Harbin, China
  3. 3 The First Affiliated Hospital, Harbin Medical University, Harbin, China
  4. 4 Department of Gastrointestinal Surgery, Cancer Hospital, Harbin Medical University, Harbin, China
  1. Correspondence to Yingwei Xue, Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin 150001, China; xyw801{at}163.com

Abstract

Gastric cancer (GC) is a commonly diagnosed malignancy with a high mortality rate worldwide. Despite advances in therapeutic approaches, the 5-year survival rate of patients with GC remains poor. A type of non-coding RNA, circular RNA (circRNA), has been discovered. Some circRNAs are dysregulated in cancer and may have important functions. Thus, circRNAs could be candidate biomarkers for disease diagnosis and prognosis. Our study used a reannotation framework to derive expression values of circRNAs from microarray data sets. We used an integrated pipeline including differential expression analysis and Cox regression analyses to detect GC-associated circRNA signatures. We validated results with 54 paired gastric tumor and adjacent normal tissues. Five circRNA signatures were highly associated with patient overall survival and disease-free survival. Real-time PCR experiments on hsa_circ_0103398 and hsa_circ_0127859 in tumors and normal tissues showed that these circRNAs were significantly upregulated in GC. High expression of hsa_circ_0103398 and hsa_circ_0127859 was closely associated with unfavorable survival time. Our findings indicated that a 5-circRNA signature might serve as a candidate prognostic biomarker of GC.

  • Gastric Mucosa
  • Prognosis
  • Biological Markers
View Full Text

Statistics from Altmetric.com

Footnotes

  • Contributors FW and YX contributed on conception and design of this work. XL contributed on acquisition of data. XZ contributed on analysis and interpretation of data.

  • Funding This work was supported by grants from the Nn10 program of Harbin Medical University Cancer Hospital (PY2017-03); funds from The First Affiliated Hospital of Harbin Medical University (2017B025) and fundamental research funds for provincial universities (2017LCZX35).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval All procedures performed in this study are in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This research was approved by the Ethics Committee of Harbin Medical University. Informed consent was obtained from all individual participants included in the study.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Expression data sets of this work (GEO ID: GSE79973, GSE62254 and GSE15459) can be freely accessed at the GEO website (https://www.ncbi.nlm.nih.gov/geo/).

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.