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Identification of a prognostic 5-Gene expression signature for gastric cancer

  • Original Article – Cancer Research
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Abstract

Purpose

Gastric cancer (GC) is a major tumor throughout the world with remaining high morbidity and mortality. The aim is to generate a gene model to assess the prognoses risk of patients with GC.

Methods

Gene expression profiling of gastric cancer patients, GSE62254 (300 samples) and GSE26253 (432 samples), was downloaded from Gene Expression Omnibus (GEO) database. Univariate survival analysis and LASSO (Least Absolute Shrinkage and Selectionator operator) (1000 iterations) of differentially expressed genes in GSE62254 was assessed using survival and glmnet in R package, respectively. Kaplan–Meier analysis on the clustering algorithm from each regression model was performed to calculate the influence to the prognosis. Random samples in GSE26253 were analyzed in multivariate and univariate survival analysis for one thousand times to calculate statistical stability of each regression model.

Results

A total of 854 Genes were identified differentially expressed in GSE62254, among which 367 Genes were found influencing the prognoses. Six gene clusters were selected with good stability. Hereinto, five or more genes in 11-Gene model, TRPC1, SGCE, TNFRSF11A, LRRN1, HLF, CYS1, PPP1R14A, NOV, NBEA, CES1 and RGN, was available to evaluate the prognostic risk of GC patients in GSE26253 (P = 0.00445). The validity and reliability was validated.

Conclusion

In conclusion, we successfully generated a stable 5-Gene model, which could be utilized to predict prognosis of GC patients and would contribute to postoperational treatment and follow-up strategies.

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Funding

This study was supported by the SUMHS collaborative innovation focus (HMCI-16-11-004).

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Authors and Affiliations

  1. Department of Gastroenterology, Shanghai Sixth People’s Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201306, China

    Jun-Yi Hou

  2. Department of Gastroenterology, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Yu-Gang Wang

  3. Department of Gastroenterology, Huai’an First People’s Hospital, Nanjing Medical University, Huai’an, Jiangsu, China

    Shi-Jie Ma

  4. Department of Gastroenterology, The Second People’s Hospital of Huai’an and The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, 223002, China

    Bing-Yin Yang

  5. Department of Cardiothoracic Surgery, Shanghai Sixth People’s Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201306, China

    Qian-Ping Li

Authors
  1. Jun-Yi Hou
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  2. Yu-Gang Wang
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  3. Shi-Jie Ma
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  4. Bing-Yin Yang
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Corresponding authors

Correspondence to Bing-Yin Yang or Qian-Ping Li.

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Conflict of interest

All authors declared no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Jun-Yi Hou, Yu-Gang Wang and Shi-Jie Ma: co-first authors.

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Hou, JY., Wang, YG., Ma, SJ. et al. Identification of a prognostic 5-Gene expression signature for gastric cancer. J Cancer Res Clin Oncol 143, 619–629 (2017). https://doi.org/10.1007/s00432-016-2324-z

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  • DOI: https://doi.org/10.1007/s00432-016-2324-z

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