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PR084/#64  Comprehensive serum glycopeptide spectra analysis (CSGSA) to identify early-stage ovarian cancer
  1. Masae Ikeda1,
  2. Hiroko Machida1,
  3. Hisamori Kato2,
  4. Yoichi Kobayashi3,
  5. Tomoyasu Kato4,
  6. Nao Suzuki5,
  7. Muneaki Shimada6,
  8. Takuma Fujii7 and
  9. Mikio Mikami1
  1. 1Tokai University School of Medicine, Obstetrics and Gynecology, Isehara, Japan
  2. 2Kanagawa Cancer Center, Gynecology, Yokohama, Japan
  3. 3Kyorin University Faculty of Medicine, Obstetrics and Gynecology, Mitaka, Japan
  4. 4National Cancer Center, Gynecology, Tokyo, Japan
  5. 5St. Marianna University School of Medicine, Obstetrics and Gynecology, Kawasaki, Japan
  6. 6Tohoku University School of Medicine, Obstetrics and Gynecology, Sendai, Japan
  7. 7Fujita Health University School of Medicine, Obstetrics and Gynecology, Toyoake, Japan


Introduction Ovarian cancer is the most fatal of all female reproductive cancers, thus a new reliable and accurate screening test for ovarian cancer is urgently demanded. We established a think-outside-the-box screening method that combines cancer-related tumor markers and comprehensive glycan alterations in serum glycoproteins, which represent a physical state (CSGSA: comprehensive serum glycopeptide spectra analysis). We aimed to verify the diagnostic capability of CSGSA, a blood test to identify early-stage epithelial ovarian cancer (EOC) in this study.

Methods We obtained sera of 564 EOC patients (55.8 ± 12.2 years) and 1,154 non-EOC controls (54.1 ± 12.0 years) from 13 facilities. Expression patterns of 1,712 glycopeptides detected by liquid chromatography mass spectrometry (LC-MS) and cancer-related tumor markers were analyzed by convolutional neural network (CNN) to discriminate an early-stage EOC.

Results CSGSA CNN model discriminated early-stage EOC (Stage I) from non-EOC controls with ROC-AUC 0.929 (95% CI: 0.919–0.940), which exceeded those of current tumor markers, CA125 (0.840, 95% CI: 0.811–0.870) and HE4 (0.718, 95% CI: 0.675–0.760). Positive predictive value (PPV) correlated by the prevalence became 7.1% where EOC sensitivity was 51.7%.

Conclusion/Implications We confirmed that the CSGSA discriminated early-stage EOC with high sensitivity and specificity. It is expected to identify early-stage EOC in asymptomatic women before EOC develops to advanced stage.

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