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NMR Metabolomics Study of Follicular Fluid of Oncological Patients

Metabolomics of Follicular Fluids in Patients Undergoing PMA

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04101981
Enrollment
20
Registered
2019-09-24
Start date
2016-05-01
Completion date
2018-05-31
Last updated
2020-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Woman With Cancer Resorting Fertility Preservation

Brief summary

Purpose: The purpose of this study was to evaluate the possible application of metabolomics to identify follicular fluid changes in cancer patients undergoing fertility preservation. Although metabolomics have been applied already in cancer studies, this is the first application on follicular fluid of cancer patients. Methods: The investigators selected for the study 10 patients with breast cancer and lymphoma who resorted to oocyte cryopreservation to preserve fertility and 10 healthy women undergoing in vitro fertilization treatments. Follicular fluid was collected at the time of oocytes retrieval. Metabolomic analysis of follicular fluids was performed by 1H NMR spectroscopy in combination with multivariate analysis to interpret the spectral data. Univariate statistical analysis was applied to find correlations between patients' features and metabolites identified by NMR.

Detailed description

The purpose of this study was to evaluate the possible application of metabolomics to identify follicular fluid changes in cancer patients undergoing fertility preservation. Although metabolomics have been applied already in cancer studies, this is the first application on follicular fluid of cancer patients. Methods: The investigators selected for the study 10 patients with breast cancer and lymphoma who resorted to oocyte cryopreservation to preserve fertility and 10 healthy women undergoing in vitro fertilization treatments. Follicular fluid was collected at the time of oocytes retrieval. Metabolomic analysis of follicular fluids was performed by 1H NMR spectroscopy in combination with multivariate analysis to interpret the spectral data. Univariate statistical analysis was applied to find correlations between patients' features and metabolites identified by NMR.

Interventions

PROCEDUREoocytes retrieval

The oocytes retrieval was performed after 34-36 hours from hCG administration . The collection of cumulus-oocyte complexes and FFs were performed via transvaginal ultrasound-guided aspiration with a needle of 18 gauge of diameter. The three major diameter follicles were identified by intraoperative ultrasound and FF of each follicle was collected in its own test tube.

Sponsors

San Carlo Public Hospital, Potenza, Italy
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 38 Years
Healthy volunteers
No

Inclusion criteria

* all nulliparous patients who want to have offspring, with a cancer diagnosis obtained by histological examination and with a definitive staging of the disease.

Exclusion criteria

* patients with suspected cancer diagnosis without histological examination and complete staging and women suffering of any cancer that received neoadjuvant chemotherapy or radiation therapy prior to follicular fluid collection.

Design outcomes

Primary

MeasureTime frameDescription
follicular fluid metabolites of patients with neoplasiaNMR spectroscopy was performed immediately after oocyte retrievalidentification by NMR spectroscopy of the metabolites present in the follicular fluid of woman

Secondary

MeasureTime frameDescription
to define the existence of cancer-specific metabolic profilesNMR spectroscopy was performed immediately after oocyte retrievalto study by NMR spectroscopy of the existence of cancer-specific metabolic profiles present in the follicular fluid of woman resorting to fertility preservation

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026