Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

SerUm and Plasma MicroRNAs in Malignant Ovarian gERm Cell Tumours

Imperial College London · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
micrornaovarian-cancer
The goal of this observational case-control study is to learn about the circulating and tissue microRNA expression, imaging and radiomic profiles of malignant ovarian germ cell tumours (MOGCT) compared to patients with a benign OGCT and no ovarian pathology. The main question\[s\] it aims to answer are: 1. To understand the circulating miRNA expression of malignant ovarian germ cell tumours (MOGCTs) compared to those with benign ovarian germ cell tumours (BOGCTs) 2. To understand the imaging profile of MOGCTs compared to that of BOGCTs 3. To establish the relationship between serum and plasma miRNA expression in response to treatment and relapse of disease 4. To discover if miRNA expression correlates with radiomic features of OGCTs on both ultrasound and MRI 5. To see if we can link the micro RNAs in tumour samples to those found in blood samples, and to find a plausible explanation for why these micro RNAs are raised (in terms of the tumour biology itself).aims Participants will have serial blood tests at different time points in their care to assess how circulating miRNA levels are affected by treatment and/or remission and/or relapse. If they have surgery, a pathology sample will be taken from the main tumour specimen. Radiomic analysis will take place on existing ultrasound images of their mass. Researchers will compare the circulating miRNA profile of patients with a benign ovarian germ cell tumour and no ovarian pathology to see where the differences lie. If a patient with a BOGCT requires surgery, a pathology sample will be taken from the main tumour specimen. Radiomic analysis will take place on existing ultrasound images of their benign mass.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 834196
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive