Abstract
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (p < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
Original language | English |
---|---|
Article number | 3639 |
Journal | Cancers |
Volume | 13 |
Issue number | 14 |
DOIs | |
Publication status | Published - 2 Jul 2021 |
Externally published | Yes |
Funding
Funding: This research was funded by the Italian Health Ministry, grant number RC 18/19. The APC was funded by the Italian Health Ministry, grant number RC 18/19. Acknowledgments: F.V., M.B. and A.R. have been supported by the European Community through the evFOUNDRY project (H2020-FETopen, ID: 801367) and through the BOW project (H2020-FETproactive, ID: 952183). We thank Martina Bradaschia for the English revision of the manuscript.
Funders | Funder number |
---|---|
Italian Health Ministry | RC 18/19 |
Horizon 2020 Framework Programme | 952183, 801367 |
European Commission |