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The goal of this observational study is to develop an exosome-based scoring model for post-treatment surveillance of recurrence in ovarian cancer. The main questions it aims to answer are:
Participants will :
Ovarian cancer is the most lethal gynecologic malignancy with the lowest survival rate among the three major gynecological malignancies. Over 70% of ovarian cancer patients experience recurrence within three years after initial treatment, making treatment response prediction and recurrence monitoring during treatment phases and follow-up visits particularly crucial. CA125 remains the primary recommended biomarker for ovarian cancer recurrence surveillance in current national and international guidelines, while its suboptimal performance necessitates further improvements.
Clinical trial data demonstrated that an exosome-based scoring model, Ovarian Cancer Score (OCS), outperformed CA125 in sensitivity for detecting FIGO stage I ovarian cancer. Notably, OCS results correlated well with FIGO stage and demonstrated improved sensitivity over CA125, particularly in early-stage ovarian cancer, suggesting its potential for recurrence surveillance. This study proposes to develop and validate a new exosome-based scoring model for post-treatment surveillance of recurrence in ovarian cancer, aiming to explore the potential of exosomal biomarkers in cancer recurrence monitoring and ultimately provide clinicians with an effective surveillance tool for ovarian cancer recurrence management.
The study consists of two stages and plans to prospectively enroll 200 patients with epithelial ovarian cancers. In stage I, enrolled patients will be categorized into relapse and non-relapse groups based on their imaging-confirmed recurrence status. Serum exosomal protein profiles obatined from their blood samples will be used for model development. In stage II, patients in the relapse group will undergo standard clinical management with follow-up visits every 3 months. Serum exosomal protein profiles obatined from them will be used for model validation. Overall, blood samples will be collected at enrollment (baseline), after surgery prior to adjuvant chemotherapy (if applicable), during adjuvant chemotherapy or systemic chemotherapy, after adjuvant chemotherapy prior to follow-up visits, and at several time points during follow-up visits. Follow-up visits will continue until either patients experience an ovarian cancer recurrence or the predetermined endpoint of follow-up visits (18 months) is reached. In stage I, logistic regression model will be used to draw a ROC curve and the Youden index will be used to select the most suitable cutoff value. In stage II, sensitivity, specificity, PPV and NPV will be calculated based on results of the model and imaging-confirmed recurrence status. All data will be processed via SPSS 23.0, GraphPad PRISM version 8.0, and R version 4.4.0.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Single Cohort |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Not applicable- observational study | Other | This is an observational cohort study with no planned interventions. Participants will be followed over multiple time points to evaluate treatment outcomes based on the standard care process. |
| Measure | Description | Time Frame |
|---|---|---|
| Recurrence-free survival | The length of time from the date of the end of adjuvant threapy to the date of the first loco-regional or systemic recurrence | From the end of adjuvant threapy to the end of follow-up visits at 18 months |
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Inclusion Criteria:
Exclusion Criteria:
Ovarian cancer affects only biological females, as ovaries are part of the female reproductive system. Thus, research focuses on this population to ensure findings are relevant and applicable to those at risk.
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Patients with recurrent epithelial ovarian cancer who treated in the Fudan University Shanghai Cancer Center
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Zheng Feng | Contact | 86-21-64175590-81000 | lizfeng1231@163.com |
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| ID | Term |
|---|---|
| D010051 | Ovarian Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D010049 | Ovarian Diseases |
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| D000291 |
| Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D000091662 | Genital Diseases |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |