Article

Biomarkers of endometriosis.

Department of Development and Regeneration, Sexual, Pelvic, Reproductive, and Family Studies, University Hospital Gasthuisberg, Leuven, Belgium.
Fertility and sterility (Impact Factor: 4.3). 02/2013; DOI: 10.1016/j.fertnstert.2013.01.097
Source: PubMed

ABSTRACT A noninvasive test for endometriosis would be useful for the early detection of endometriosis in symptomatic women who have pelvic pain and/or subfertility with normal ultrasound results. This would include nearly all cases of minimal-to-mild endometriosis, some cases of moderate-to-severe endometriosis without a clearly visible ovarian endometrioma, and cases with pelvic adhesions and/or other pelvic pathology that might benefit from surgery to improve pelvic pain and/or subfertility. This overview discusses the diagnostic performance of noninvasive or semi-invasive tests for endometriosis, including panels of known peripheral blood biomarkers, protein/peptide markers discovered by proteomics, miRNA, and endometrial nerve fiber density. Tests with high sensitivity and acceptable specificity have been developed; some have been validated in independent populations and are therefore promising. To make real progress, international agreement on biobank development is needed for standard operating procedures for the collection, treatment, storage, and analysis of tissue samples and for detailed clinical phenotyping of these samples. Furthermore, it is necessary to validate the diagnostic accuracy of any promising test prospectively in an independent symptomatic patient population with subfertility and/or pain without clear ultrasound evidence of endometriosis and with a clinical indication for surgery, divided into cases with laparoscopically and histologically confirmed endometriosis and controls with laparoscopically confirmed absence of endometriosis.

0 Bookmarks
 · 
217 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: To harmonize standard operating procedures (SOPs) and standardize the recording of associated data for collection, processing, and storage of human tissues relevant to endometriosis.
    Fertility and Sterility 09/2014; · 4.30 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Objective To harmonize standard operating procedures (SOPs) and standardize the recording of associated data for collection, processing, and storage of fluid biospecimens relevant to endometriosis. Design An international collaboration involving 34 clinical/academic centers and 3 industry collaborators from 16 countries on 5 continents. Setting In 2013, 2 workshops were conducted, followed by global consultation, bringing together 54 leaders in endometriosis research and sample processing worldwide. Patient(s) None. Intervention(s) Consensus SOPs were based on: [1] systematic comparison of SOPs from 18 global centers collecting fluid samples from women with and without endometriosis on a medium/large scale (publication on >100 cases), [2] literature evidence where available, or consultation with laboratory experts otherwise, and [3] several global consultation rounds. Main Outcome Measure(s) Standard recommended and minimum required SOPs for biofluid collection, processing, and storage in endometriosis research. Result(s) We developed recommended standard and minimum required SOPs for the collection, processing, and storage of plasma, serum, saliva, urine, endometrial/peritoneal fluid, and menstrual effluent, and a biospecimen data-collection form necessary for interpretation of sample-derived results. Conclusion(s) The Endometriosis Phenome and Biobanking Harmonisation Project SOPs allow endometriosis research centers to decrease variability in biofluid sample results, facilitating between-center comparisons and collaborations. The procedures are also relevant to research into other female conditions involving biofluid samples subject to cyclic reproductive influences. The consensus SOPs are based on the best available evidence; areas with limited evidence are identified as requiring further pilot studies. The SOPs will be reviewed based on investigator feedback, and through systematic tri-annual follow-up. Updated versions will be made available at: endometriosisfoundation.org/ephect.
    Fertility and Sterility. 09/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Endometriosis, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue.
    Endocrinology 09/2014; · 4.72 Impact Factor

Full-text

Download
43 Downloads
Available from
May 31, 2014