Abstract
Objective
This study aimed to explore the prognostic value of mean platelet volume (MPV) in patients with ovarian clear cell carcinoma (OCCC) and evaluate the predictive performance of a random forest model incorporating MPV and other key clinicopathological factors.
Methods
A total of 204 patients with OCCC treated between January 2004 and December 2019 were retrospectively analyzed. Clinicopathological characteristics and preoperative laboratory data were collected, and survival outcomes were evaluated using the Kaplan–Meier method and Cox proportional hazards models. An optimal MPV cutoff was determined by receiver operating characteristic (ROC) curve analysis. A random forest model was then constructed using the identified independent prognostic factors, and its predictive performance was evaluated.
Results
The ROC analysis identified 9.3 fL as the MPV cutoff value for predicting 2-year survival. The MPV-low group had lower 5-year overall survival and progression-free survival rates than the MPV-high group (p = 0.003 and p = 0.034, respectively). High MPV emerged as an independent prognostic factor (p = 0.006). The random forest model, incorporating the FIGO stage, residual tumors, peritoneal cytology, and MPV, demonstrated robust predictive performance (area under the curve: 0.905).
Conclusion
MPV is a promising prognostic indicator in OCCC. Lower MPV correlated with worse survival rates, advocating its potential utility in refining patient management strategies. The commendable predictive performance of the random forest model, integrating MPV and other significant prognostic factors, suggests a pathway toward enhanced survival prediction, thereby warranting further research.
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Acknowledgements
This research was supported by a Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS), grant number 22K16876. We express our sincere gratitude to JSPS for their generous financial support which made this research possible.
Funding
This study was funded by Japan Society for the Promotion of Science (JSPS), 22K16876, Nobuhisa Yoshikawa.
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Contributions
NY: data analysis, conceptualization, interpretation, and drafting of manuscript. TM, HS, SI, KY, MY, ST, AY, YI, YS, KN, KM: data collection. HK: supervision, revising the manuscript.
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Institutional Review Board statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Nagoya University Hospital (2006–0357). Patient consent was waived because data collection was retrospective.
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Supplementary Information
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10147_2023_2417_MOESM1_ESM.pdf
Supplementary file1 Supplemental Fig. 1: Comparison of mean MPV values: healthy individuals, patients with endometriosis, and patients with OCCC. Patients with endometriosis had a significantly higher mean MPV than patients with OCCC (p < 0.05). (PDF 59 KB)
10147_2023_2417_MOESM2_ESM.pdf
Supplementary file2 Supplemental Fig. 2: Comparison of MPV values across FIGO stages I, II, III, and IV. No statistically significant difference was detected between the MPV values of stages I–II and III–IV. (PDF 59 KB)
10147_2023_2417_MOESM3_ESM.pdf
Supplementary file3 Supplemental Fig. 3: Kaplan–-Meier survival curves of OCCC patients with ovarian clear cell carcinoma (OCCC) stratified by postoperative day 7 MPV. The prognosis significantly varied based on the 8.8 fL cutoff (p = 0.0291). (PDF 26 KB)
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Yoshikawa, N., Matsukawa, T., Hattori, S. et al. Mean platelet volume as a potential biomarker for survival outcomes in ovarian clear cell carcinoma. Int J Clin Oncol 28, 1680–1689 (2023). https://doi.org/10.1007/s10147-023-02417-8
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DOI: https://doi.org/10.1007/s10147-023-02417-8