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Набор по приглашению NCT06907303

RNA Assays for Endometriosis Detection and Diagnosis

Наблюдательное Endometriosis

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: EndoDx.
Кому может быть актуально
Состояния в реестре: Endometriosis. Базовые параметры: 20 лет — 35 лет · Женщины.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
США, ЮАР
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
Официальное название

Development and Evaluation of RNA-based Markers for Detecting and Diagnosing Endometriosis

Обзор

Endometriosis is a common disease that affects up to 10% of women of reproductive age. Diagnosis, however, is typically delayed (up to 12 years) and is usually made after surgery. A key unmet need therefore is an accurate biomarker that can be used to detect the disease early. This study is a prospective trial to identify candidate mRNA-markers which can be used to aid in the diagnosis of this disease. It is a discovery/validation study that will identify and confirm a gene expression panel that is specific for endometriosis and provides a non-invasive tool for future use.

Подробное описание

Endometriosis is a common disease that affects up to 10% of women of reproductive age. Diagnosis, however, is typically delayed (up to 12 years) and is typically made after surgery. A key unmet need therefore is an accurate, non-invasive biomarker that can be used to detect the disease early.

We hypothesize that endometriosis-related circulating gene expression can be identified using transcriptomic and bioinformatics approaches and used to construct an accurate diagnostic tool for this condition.

The primary objective is to develop a gene signature that detects endometriosis. The hypothesis is that this disease is characterized by a set of genes that characterize endometriosis tumor biology.

The aim is to detect over-expressed genes (elevated mRNA expression) in endometriosis tissue. The goal is to identify 10-25 biomarker genes that are highly expressed to form a candidate biomarker panel.

Highly expressed genes will be determined against samples collected from age/menstrual stage matched controls. A bio-informatics approach will be used to identify these over-expressed genes. This form the basis of a potential diagnostic panel.

Per PICOT criteria:

* The target patient population are women aged 20-35 years with a pathological diagnosis of endometriosis. * The intervention is sample collection at the time of diagnosis (tissue, blood, saliva) * The comparison group are normo-ovulatory subjects (age 20-25 years) undergoing surgery for benign cervical lesions. * The outcome is a gene signature that is associated with endometriosis. * The follow-up time is one year.

The secondary objective is to test the diagnostic utility of the 10-25 gene panel. This will be undertaken using the retrospectively collected samples.

* Each of the highly expressed genes will be measured and quantified using an RT-PCR approach. * Genes that are statistically over-expressed in the endometriosis samples will be selected for a PCR panel. * The expression of genes in the PCR panel will be scored. * Low scores will be related to "control" and higher scores to "endometriosis". * The scores will be formally evaluated as a diagnostic (area under the curve analysis, accuracy, sensitivity and specificity metrics). * A specific comparison will be made between the endometriosis cohort and the control cohort. * The metrics for a successful assay are:

* Accuracy \>80% * Sensitivity \>90% * Specificity \>85% * AUC \>0.8

Вмешательства

  • Диагностический тест EndoDx
    PCR assay for Endometriosis diagnosis

Первичные конечные точки

  • Develop a gene signature that detects endometriosis [Срок оценки: 12-18 months]
Вторичные конечные точки (1)
  • Assess the diagnostic utility of the gene signature to differentiate between endometriosis and controls [Срок оценки: 6 months]

Критерии участия

Критерии включения

For the endometriosis cohort

  • a history of infertility more than 1 year
  • age 20-35 years
  • normal liver and kidney function, without gynaecological and other systemic disease

Inclusion criteria for controls include normo-ovulatory history, aged between 20-35 years, who exhibit normal liver and kidney function, and do not have any systemic diseases including autoimmune disease.

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Критерии исключения

For the endometriosis cohort

  • polycystic ovary syndrome, hyperprolactinemia
  • severe cardiovascular system, liver, kidney, and hematopoietic system disease
  • autoimmune disease
  • uterine fibroids, endometritis, non-vegetative ovarian cysts, ovarian malignancies, and internal genital tuberculosis

Exclusion criteria for the controls includes gynaecological malignancies and genital tuberculosis.

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Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Дизайн исследования

Модель наблюдения
Случай-контроль

Центры проведения

США · 1 центр
  • Wren Laboratories — Branford
ЮАР · 1 центр
  • University of Cape Town — Cape Town

Идентификаторы

NCT: NCT06907303 · WrenEndoMstudy 01

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗