PMID- 22736326
OWN - NLM
STAT- MEDLINE
DCOM- 20130111
LR  - 20220408
IS  - 1460-2350 (Electronic)
IS  - 0268-1161 (Linking)
VI  - 27
IP  - 9
DP  - 2012 Sep
TI  - Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of 
      endometriosis.
PG  - 2698-711
LID - 10.1093/humrep/des234 [doi]
AB  - 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.
FAU - Vodolazkaia, A
AU  - Vodolazkaia A
AD  - Leuven University Fertility Centre, Department of Obstetrics and Gynaecology, 
      University Hospital Gasthuisberg, Leuven, Belgium.
FAU - El-Aalamat, Y
AU  - El-Aalamat Y
FAU - Popovic, D
AU  - Popovic D
FAU - Mihalyi, A
AU  - Mihalyi A
FAU - Bossuyt, X
AU  - Bossuyt X
FAU - Kyama, C M
AU  - Kyama CM
FAU - Fassbender, A
AU  - Fassbender A
FAU - Bokor, A
AU  - Bokor A
FAU - Schols, D
AU  - Schols D
FAU - Huskens, D
AU  - Huskens D
FAU - Meuleman, C
AU  - Meuleman C
FAU - Peeraer, K
AU  - Peeraer K
FAU - Tomassetti, C
AU  - Tomassetti C
FAU - Gevaert, O
AU  - Gevaert O
FAU - Waelkens, E
AU  - Waelkens E
FAU - Kasran, A
AU  - Kasran A
FAU - De Moor, B
AU  - De Moor B
FAU - D'Hooghe, T M
AU  - D'Hooghe TM
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20120626
PL  - England
TA  - Hum Reprod
JT  - Human reproduction (Oxford, England)
JID - 8701199
RN  - 0 (Biomarkers)
RN  - 9G34HU7RV0 (Edetic Acid)
SB  - IM
MH  - Adult
MH  - Biomarkers/*metabolism
MH  - Case-Control Studies
MH  - Edetic Acid/metabolism
MH  - Endometriosis/*blood/*diagnosis
MH  - Female
MH  - Humans
MH  - Inflammation
MH  - Laparoscopy
MH  - Least-Squares Analysis
MH  - Menstrual Cycle
MH  - Middle Aged
MH  - Models, Statistical
MH  - ROC Curve
MH  - Regression Analysis
MH  - Sensitivity and Specificity
EDAT- 2012/06/28 06:00
MHDA- 2013/01/12 06:00
CRDT- 2012/06/28 06:00
PHST- 2012/06/28 06:00 [entrez]
PHST- 2012/06/28 06:00 [pubmed]
PHST- 2013/01/12 06:00 [medline]
AID - des234 [pii]
AID - 10.1093/humrep/des234 [doi]
PST - ppublish
SO  - Hum Reprod. 2012 Sep;27(9):2698-711. doi: 10.1093/humrep/des234. Epub 2012 Jun 
      26.