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Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer

  • Authors:
    • Satoshi Yajima
    • Masaaki Ito
    • Takashi Suzuki
    • Yoko Oshima
    • Makoto Sumazaki
    • Fumiaki Shiratori
    • Hirotaka Takizawa
    • Shu-Yang Li
    • Bo-Shi Zhang
    • Yoichi Yoshida
    • Tomoo Matsutani
    • Takaki Hiwasa
    • Hideaki Shimada
  • View Affiliations / Copyright

    Affiliations: Department of Gastroenterological Surgery, Toho University School of Medicine, Tokyo 143‑8541, Japan, Department of Clinical Oncology, Toho University Graduate School of Medicine, Tokyo 143‑8541, Japan, Port Square Kashiwado Clinic, Kashiwado Memorial Foundation, Chiba 260‑0025, Japan, Department of Neurological Surgery, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
    Copyright: © Yajima et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 360
    |
    Published online on: May 22, 2025
       https://doi.org/10.3892/ol.2025.15106
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Abstract

Given the high malignancy of advanced gastric cancer, the identification of biomarkers for the diagnosis and prognosis prediction of advanced gastric cancer is of importance. The present study conducted the serological identification of antigens by recombinant cDNA expression cloning and determined enolase 1 (ENO1) and Sjögren syndrome nuclear autoantigen 1 (SSNA1) as tumor antigens recognized by serum immunoglobulin G (IgG) antibodies in patients with gastric cancer. The clinicopathological significance of preoperative autoantibodies were assessed, namely serum anti‑ENO1 antibodies (s‑ENO1‑Abs) and serum anti‑SSNA1 antibodies (s‑SSNA‑Abs), in the sera of 166 patients with gastric cancer who underwent radical surgery and 96 healthy donors. The s‑ENO1‑Ab and s‑SSNA‑Ab titer levels were significantly increased in patients with gastric cancer compared with that in healthy donors (P<0.01). Areas under the receiver operating characteristic curves of s‑ENO1‑Ab and s‑SSNA1‑Ab were 0.656 and 0.607, respectively. None of the clinicopathological factors, such as sex, age, histological type, tumor size, tumor depth, nodal status, cytology, peritoneal dissemination and stage demonstrated association with the s‑ENO1‑Ab or s‑SSNA1‑Ab titer levels. High s‑ENO1‑Ab and s‑SSNA1‑Ab titer levels were associated with improved overall survival, but the differences were not statistically significant. According to the Human Protein Atlas dataset, high mRNA expression levels of ENO1 and SSNA1 showed a trend towards shorter overall survival, while low expression levels showed a trend towards longer overall survival (ENO1: P=0.07, SSNA1: P<0.05). Combination analysis indicated that the s‑ENO1‑Ab‑positive (+)/carcinoembryonic antigen (CEA)‑negative (‑) group demonstrated a significantly improved prognosis compared with that of the s‑ENO1‑Ab(‑)/CEA(+) group (P<0.01), while a comparison of the s‑SSNA1‑Ab(+)/CEA(‑) group with the s‑SSNA1‑Ab(‑)/CEA(+) group also demonstrated a significant improvement in prognosis (P<0.01). Thus, s‑ENO1‑Abs and s‑SSNA‑Abs may be useful biomarkers for predicting gastric cancer prognosis, providing future research directions for novel approaches to target and treat gastric cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Yajima S, Ito M, Suzuki T, Oshima Y, Sumazaki M, Shiratori F, Takizawa H, Li S, Zhang B, Yoshida Y, Yoshida Y, et al: Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer. Oncol Lett 30: 360, 2025.
APA
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F. ... Shimada, H. (2025). Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer. Oncology Letters, 30, 360. https://doi.org/10.3892/ol.2025.15106
MLA
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F., Takizawa, H., Li, S., Zhang, B., Yoshida, Y., Matsutani, T., Hiwasa, T., Shimada, H."Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer". Oncology Letters 30.1 (2025): 360.
Chicago
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F., Takizawa, H., Li, S., Zhang, B., Yoshida, Y., Matsutani, T., Hiwasa, T., Shimada, H."Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer". Oncology Letters 30, no. 1 (2025): 360. https://doi.org/10.3892/ol.2025.15106
Copy and paste a formatted citation
x
Spandidos Publications style
Yajima S, Ito M, Suzuki T, Oshima Y, Sumazaki M, Shiratori F, Takizawa H, Li S, Zhang B, Yoshida Y, Yoshida Y, et al: Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer. Oncol Lett 30: 360, 2025.
APA
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F. ... Shimada, H. (2025). Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer. Oncology Letters, 30, 360. https://doi.org/10.3892/ol.2025.15106
MLA
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F., Takizawa, H., Li, S., Zhang, B., Yoshida, Y., Matsutani, T., Hiwasa, T., Shimada, H."Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer". Oncology Letters 30.1 (2025): 360.
Chicago
Yajima, S., Ito, M., Suzuki, T., Oshima, Y., Sumazaki, M., Shiratori, F., Takizawa, H., Li, S., Zhang, B., Yoshida, Y., Matsutani, T., Hiwasa, T., Shimada, H."Application of serum anti‑ENO1 and anti‑SSNA1 antibody biomarkers in predicting the prognosis of gastric cancer". Oncology Letters 30, no. 1 (2025): 360. https://doi.org/10.3892/ol.2025.15106
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