SPON1 is an independent prognostic biomarker for ovarian cancer

Author:

Miyakawa Ryoya,Kobayashi Makoto,Sugimoto Kotaro,Endo Yuta,Kojima Manabu,Kobayashi Yasuyuki,Furukawa Shigenori,Honda Tsuyoshi,Watanabe Takafumi,Asano Shigeyuki,Soeda Shu,Hashimoto Yuko,Fujimori Keiya,Chiba Hideki

Abstract

AbstractBackgroundOvarian cancer has the worst outcome among gynecological malignancies; therefore, biomarkers that could contribute to the early diagnosis and/or prognosis prediction are urgently required. In the present study, we focused on the secreted protein spondin-1 (SPON1) and clarified the prognostic relevance in ovarian cancer.MethodsWe developed a monoclonal antibody (mAb) that selectively recognizes SPON1. Using this specific mAb, we determined the expression of SPON1 protein in the normal ovary, serous tubal intraepithelial carcinoma (STIC), and ovarian cancer tissues, as well as in various normal adult tissues by immunohistochemistry, and verified its clinicopathological significance in ovarian cancer.ResultsThe normal ovarian tissue was barely positive for SPON1, and no immunoreactive signals were detected in other healthy tissues examined, which was in good agreement with data obtained from gene expression databases. By contrast, upon semi-quantification, 22 of 242 ovarian cancer cases (9.1%) exhibited high SPON1 expression, whereas 64 (26.4%), 87 (36.0%), and 69 (28.5%) cases, which were designated as SPON1-low, possessed the moderate, weak, and negative SPON1 expression, respectively. The STIC tissues also possessed SPON1-positive signals. The 5-year recurrence-free survival (RFS) rate in the SPON1-high group (13.6%) was significantly lower than that in the SPON1-low group (51.2%). In addition, high SPON1 expression was significantly associated with several clinicopathological variables. Multivariable analysis revealed that high SPON1 was an independent prognostic factor for RFS of ovarian cancer.ConclusionsSPON1 represents a prognostic biomarker for ovarian cancer, and the anti-SPON1 mAb could be valuable as an outcome predictor.

Funder

Japan Society for the Promotion of Science

Seiichi Imai Memorial Foundation

Intelligent Cosmos Academic Foundation

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology,Oncology

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