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Spectroscopy in Ovarian Cancer

Active, not recruiting
Conditions
Ovary Cyst
Ovarian Cancer
Ovarian Neoplasms
Ovary Disease
Registration Number
NCT04817449
Lead Sponsor
University of Exeter
Brief Summary

Ovarian cancer is the eighth most common cause of cancer death in the world. Advanced stage at diagnosis is associated with lower survival rates, thus early detection appears to have an important role.

Raman Spectroscopy is a non-invasive technique that uses the interaction of light to identify the composition of the sample tested.

The aim of the project is to explore the use of spectroscopic techniques in the detection of ovarian cancer. There are two different assessments within the project:

1. Identify ovarian cancer in blood - Raman spectroscopic analysis will be performed on blood plasma taken from patients with suspected ovarian cancer.

2. Detect active cancer within post chemotherapy fibrotic tissue - Ex vivo Raman spectroscopic analysis of peritoneal, omental or ovarian tissues collected from patients undergoing surgical treatment for ovarian cancer.

The results of the spectroscopy will be correlated to clinical outcome and histological diagnosis respectively.

Detailed Description

Not available

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
Female
Target Recruitment
160
Inclusion Criteria
  • Female
  • Symptoms suggestive of ovarian cancer
  • Patients undergoing treatment of Ovarian Cancer
Read More
Exclusion Criteria
  • Less than 18 years of age
  • Unable to consent to the study due to communication difficulties
  • Unable to consent to the study due to lack of capacity
Read More

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Ascertain the diagnostic performance of vibrational spectroscopy for detection of Ovarian Cancer2 years

Biomarkers for ovarian cancer will be identified by analysing Raman spectral data of plasma samples taken from patient with ovarian cancer symptoms. Clinical outcome of cancer/no cancer will be used to correlate the results.

Ascertain the discriminatory ability of vibrational spectroscopy to differentiate between normal, fibrotic and cancerous tissue2 years

Samples taken from post chemotherapy patients will be analysed to identify the spectral signature of ovarian cancer in chemotherapy exposed tissue.

Secondary Outcome Measures
NameTimeMethod
Performance of vibrational spectroscopy in recurrence prediction2 years

Plasma samples after recurrence of cancer will be analysed and compared to initial spectral signature at diagnosis

Performance of vibrational spectroscopy in chemotherapy response prediction2 years

Plasma samples after 1st cycle of chemotherapy will be analysed to evaluate for changes in biomarkers after chemotherapy treatment.

Trial Locations

Locations (1)

University Hospitals Bristol and Weston NHS Trust

🇬🇧

Bristol, United Kingdom

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