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Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis.
Hum Reprod. 2012 Sep; 27(9):2698-711.HR

Abstract

BACKGROUND

At present, the only way to conclusively diagnose endometriosis is laparoscopic inspection, preferably with histological confirmation. This contributes to the delay in the diagnosis of endometriosis which is 6-11 years. So far non-invasive diagnostic approaches such as ultrasound (US), MRI or blood tests do not have sufficient diagnostic power. Our aim was to develop and validate a non-invasive diagnostic test with a high sensitivity (80% or more) for symptomatic endometriosis patients, without US evidence of endometriosis, since this is the group most in need of a non-invasive test.

METHODS

A total of 28 inflammatory and non-inflammatory plasma biomarkers were measured in 353 EDTA plasma samples collected at surgery from 121 controls without endometriosis at laparoscopy and from 232 women with endometriosis (minimal-mild n = 148; moderate-severe n = 84), including 175 women without preoperative US evidence of endometriosis. Surgery was done during menstrual (n = 83), follicular (n = 135) and luteal (n = 135) phases of the menstrual cycle. For analysis, the data were randomly divided into an independent training (n = 235) and a test (n = 118) data set. Statistical analysis was done using univariate and multivariate (logistic regression and least squares support vector machines (LS-SVM) approaches in training- and test data set separately to validate our findings.

RESULTS

In the training set, two models of four biomarkers (Model 1: annexin V, VEGF, CA-125 and glycodelin; Model 2: annexin V, VEGF, CA-125 and sICAM-1) analysed in plasma, obtained during the menstrual phase, could predict US-negative endometriosis with a high sensitivity (81-90%) and an acceptable specificity (68-81%). The same two models predicted US-negative endometriosis in the independent validation test set with a high sensitivity (82%) and an acceptable specificity (63-75%).

CONCLUSIONS

In plasma samples obtained during menstruation, multivariate analysis of four biomarkers (annexin V, VEGF, CA-125 and sICAM-1/or glycodelin) enabled the diagnosis of endometriosis undetectable by US with a sensitivity of 81-90% and a specificity of 63-81% in independent training- and test data set. The next step is to apply these models for preoperative prediction of endometriosis in an independent set of patients with infertility and/or pain without US evidence of endometriosis, scheduled for laparoscopy.

Authors+Show Affiliations

Leuven University Fertility Centre, Department of Obstetrics and Gynaecology, University Hospital Gasthuisberg, Leuven, Belgium.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22736326

Citation

Vodolazkaia, A, et al. "Evaluation of a Panel of 28 Biomarkers for the Non-invasive Diagnosis of Endometriosis." Human Reproduction (Oxford, England), vol. 27, no. 9, 2012, pp. 2698-711.
Vodolazkaia A, El-Aalamat Y, Popovic D, et al. Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis. Hum Reprod. 2012;27(9):2698-711.
Vodolazkaia, A., El-Aalamat, Y., Popovic, D., Mihalyi, A., Bossuyt, X., Kyama, C. M., Fassbender, A., Bokor, A., Schols, D., Huskens, D., Meuleman, C., Peeraer, K., Tomassetti, C., Gevaert, O., Waelkens, E., Kasran, A., De Moor, B., & D'Hooghe, T. M. (2012). Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis. Human Reproduction (Oxford, England), 27(9), 2698-711. https://doi.org/10.1093/humrep/des234
Vodolazkaia A, et al. Evaluation of a Panel of 28 Biomarkers for the Non-invasive Diagnosis of Endometriosis. Hum Reprod. 2012;27(9):2698-711. PubMed PMID: 22736326.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis. AU - Vodolazkaia,A, AU - El-Aalamat,Y, AU - Popovic,D, AU - Mihalyi,A, AU - Bossuyt,X, AU - Kyama,C M, AU - Fassbender,A, AU - Bokor,A, AU - Schols,D, AU - Huskens,D, AU - Meuleman,C, AU - Peeraer,K, AU - Tomassetti,C, AU - Gevaert,O, AU - Waelkens,E, AU - Kasran,A, AU - De Moor,B, AU - D'Hooghe,T M, Y1 - 2012/06/26/ PY - 2012/6/28/entrez PY - 2012/6/28/pubmed PY - 2013/1/12/medline SP - 2698 EP - 711 JF - Human reproduction (Oxford, England) JO - Hum. Reprod. VL - 27 IS - 9 N2 - BACKGROUND: At present, the only way to conclusively diagnose endometriosis is laparoscopic inspection, preferably with histological confirmation. This contributes to the delay in the diagnosis of endometriosis which is 6-11 years. So far non-invasive diagnostic approaches such as ultrasound (US), MRI or blood tests do not have sufficient diagnostic power. Our aim was to develop and validate a non-invasive diagnostic test with a high sensitivity (80% or more) for symptomatic endometriosis patients, without US evidence of endometriosis, since this is the group most in need of a non-invasive test. METHODS: A total of 28 inflammatory and non-inflammatory plasma biomarkers were measured in 353 EDTA plasma samples collected at surgery from 121 controls without endometriosis at laparoscopy and from 232 women with endometriosis (minimal-mild n = 148; moderate-severe n = 84), including 175 women without preoperative US evidence of endometriosis. Surgery was done during menstrual (n = 83), follicular (n = 135) and luteal (n = 135) phases of the menstrual cycle. For analysis, the data were randomly divided into an independent training (n = 235) and a test (n = 118) data set. Statistical analysis was done using univariate and multivariate (logistic regression and least squares support vector machines (LS-SVM) approaches in training- and test data set separately to validate our findings. RESULTS: In the training set, two models of four biomarkers (Model 1: annexin V, VEGF, CA-125 and glycodelin; Model 2: annexin V, VEGF, CA-125 and sICAM-1) analysed in plasma, obtained during the menstrual phase, could predict US-negative endometriosis with a high sensitivity (81-90%) and an acceptable specificity (68-81%). The same two models predicted US-negative endometriosis in the independent validation test set with a high sensitivity (82%) and an acceptable specificity (63-75%). CONCLUSIONS: In plasma samples obtained during menstruation, multivariate analysis of four biomarkers (annexin V, VEGF, CA-125 and sICAM-1/or glycodelin) enabled the diagnosis of endometriosis undetectable by US with a sensitivity of 81-90% and a specificity of 63-81% in independent training- and test data set. The next step is to apply these models for preoperative prediction of endometriosis in an independent set of patients with infertility and/or pain without US evidence of endometriosis, scheduled for laparoscopy. SN - 1460-2350 UR - https://www.unboundmedicine.com/medline/citation/22736326/Evaluation_of_a_panel_of_28_biomarkers_for_the_non_invasive_diagnosis_of_endometriosis_ L2 - https://academic.oup.com/humrep/article-lookup/doi/10.1093/humrep/des234 DB - PRIME DP - Unbound Medicine ER -