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Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment
INTRODUCTION: Endometriosis is a common gynaecological disease associated with pelvic pain and subfertility. There are no non-invasive diagnostic tests, medical management requires suppression of oestrogens and surgical removal is associated with risk. Endometriosis is a complex genetic disease with...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577890/ https://www.ncbi.nlm.nih.gov/pubmed/36241351 http://dx.doi.org/10.1136/bmjopen-2022-064073 |
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author | Tanaka, Keisuke Gilroy, Deborah Subramaniam, Sugarniya Lakshmi, Preethi Bhadravathi Lokeshappa, Madhura Wallace, Leanne M Atluri, Sharat Schmidt, Bart Ganter, Peter Baartz, David Smith, Matthew Mortlock, Sally Henders, Anjali Khalil, Akram Montgomery, Grant McKinnon, Brett Amoako, Akwasi |
author_facet | Tanaka, Keisuke Gilroy, Deborah Subramaniam, Sugarniya Lakshmi, Preethi Bhadravathi Lokeshappa, Madhura Wallace, Leanne M Atluri, Sharat Schmidt, Bart Ganter, Peter Baartz, David Smith, Matthew Mortlock, Sally Henders, Anjali Khalil, Akram Montgomery, Grant McKinnon, Brett Amoako, Akwasi |
author_sort | Tanaka, Keisuke |
collection | PubMed |
description | INTRODUCTION: Endometriosis is a common gynaecological disease associated with pelvic pain and subfertility. There are no non-invasive diagnostic tests, medical management requires suppression of oestrogens and surgical removal is associated with risk. Endometriosis is a complex genetic disease with variants in at least 27 genetic regions associated with susceptibility. Previous research has implicated a variety of biological mechanisms in multiple cell types. Endometrial and endometriotic epithelial cells acquire somatic mutations at frequency higher than expected in normal tissue. Stromal cells have altered adhesive capacity and immune cells show altered cytotoxicity. Understanding the functional consequences of these genetic variants on each cell type requires the collection of patient symptoms, clinical and genetic data and disease-relevant tissue in an integrated program. METHODS AND ANALYSIS: The aims of this study are to collect tissue associated with endometriosis, chart the genetic architecture related to endometriosis in this tissue, isolate and propagate patient-specific cellular models, understand the functional consequence of these genetic variants and how they interact with environmental factors in pathogenesis and treatment response. We will collect patient information from online questionnaires prior to surgery and at 6 and 12 months postsurgery. Treating physicians will document detailed surgical data. During surgery, we will collect blood, peritoneal fluid, endometrium and endometriotic tissue. Tissue will be used to isolate and propagate in vitro models of individual cells. Genome wide genotyping and gene expression data will be generated. Somatic mutations will be identified via whole genome sequencing. ETHICS AND DISSEMINATION: The study has been approved and will be monitored by the Metro North Human Research Ethics committee (HREC) and research activities at the University of Queensland (UQ) will be overseen by the UQ HREC with annual reports submitted. Research results will be published in peer-reviewed journals and presented at conferences were appropriate. This study involves human participants and was approved by RBWH Human Research Ethics Committee; HREC/2019/QRBW/56763. The University of Queensland; 2017002744. Participants gave informed consent to participate in the study before taking part. |
format | Online Article Text |
id | pubmed-9577890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-95778902022-10-19 Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment Tanaka, Keisuke Gilroy, Deborah Subramaniam, Sugarniya Lakshmi, Preethi Bhadravathi Lokeshappa, Madhura Wallace, Leanne M Atluri, Sharat Schmidt, Bart Ganter, Peter Baartz, David Smith, Matthew Mortlock, Sally Henders, Anjali Khalil, Akram Montgomery, Grant McKinnon, Brett Amoako, Akwasi BMJ Open Reproductive Medicine INTRODUCTION: Endometriosis is a common gynaecological disease associated with pelvic pain and subfertility. There are no non-invasive diagnostic tests, medical management requires suppression of oestrogens and surgical removal is associated with risk. Endometriosis is a complex genetic disease with variants in at least 27 genetic regions associated with susceptibility. Previous research has implicated a variety of biological mechanisms in multiple cell types. Endometrial and endometriotic epithelial cells acquire somatic mutations at frequency higher than expected in normal tissue. Stromal cells have altered adhesive capacity and immune cells show altered cytotoxicity. Understanding the functional consequences of these genetic variants on each cell type requires the collection of patient symptoms, clinical and genetic data and disease-relevant tissue in an integrated program. METHODS AND ANALYSIS: The aims of this study are to collect tissue associated with endometriosis, chart the genetic architecture related to endometriosis in this tissue, isolate and propagate patient-specific cellular models, understand the functional consequence of these genetic variants and how they interact with environmental factors in pathogenesis and treatment response. We will collect patient information from online questionnaires prior to surgery and at 6 and 12 months postsurgery. Treating physicians will document detailed surgical data. During surgery, we will collect blood, peritoneal fluid, endometrium and endometriotic tissue. Tissue will be used to isolate and propagate in vitro models of individual cells. Genome wide genotyping and gene expression data will be generated. Somatic mutations will be identified via whole genome sequencing. ETHICS AND DISSEMINATION: The study has been approved and will be monitored by the Metro North Human Research Ethics committee (HREC) and research activities at the University of Queensland (UQ) will be overseen by the UQ HREC with annual reports submitted. Research results will be published in peer-reviewed journals and presented at conferences were appropriate. This study involves human participants and was approved by RBWH Human Research Ethics Committee; HREC/2019/QRBW/56763. The University of Queensland; 2017002744. Participants gave informed consent to participate in the study before taking part. BMJ Publishing Group 2022-10-14 /pmc/articles/PMC9577890/ /pubmed/36241351 http://dx.doi.org/10.1136/bmjopen-2022-064073 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Reproductive Medicine Tanaka, Keisuke Gilroy, Deborah Subramaniam, Sugarniya Lakshmi, Preethi Bhadravathi Lokeshappa, Madhura Wallace, Leanne M Atluri, Sharat Schmidt, Bart Ganter, Peter Baartz, David Smith, Matthew Mortlock, Sally Henders, Anjali Khalil, Akram Montgomery, Grant McKinnon, Brett Amoako, Akwasi Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title | Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title_full | Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title_fullStr | Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title_full_unstemmed | Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title_short | Protocol for the Endometriosis Research Queensland Study (ERQS): an integrated cohort study approach to improve diagnosis and stratify treatment |
title_sort | protocol for the endometriosis research queensland study (erqs): an integrated cohort study approach to improve diagnosis and stratify treatment |
topic | Reproductive Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577890/ https://www.ncbi.nlm.nih.gov/pubmed/36241351 http://dx.doi.org/10.1136/bmjopen-2022-064073 |
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