Literature DB >> 15760962

A predictive model for endometriosis.

M M Wölfler1, F Nagele, A Kolbus, S Seidl, B Schneider, J C Huber, W Tschugguel.   

Abstract

BACKGROUND: Aromatase is the key enzyme in the process of estrogen biosynthesis from the precursor androgen. Recently, aromatase has been found to be aberrantly expressed in eutopic endometrium of patients suffering from endometriosis. This finding has prompted speculation about the contribution of this enzyme to the prediction of this disease.
METHODS: We prospectively aimed to evaluate whether endometrial biopsy, prior to laparoscopy in symptomatic women to screen for the presence of aromatase by real-time RT-PCR and immunohistochemistry, combined with select patients' characteristics, is of value to predict endometriosis.
RESULTS: Of 48 consecutive symptomatic and eligible patients, 25 (52.1%) exhibited endometriosis and 23 (47.9%) were disease-free. A multiple logistic regression model revealed that 95.5% of patients whose eutopic endometrium was found to be positive for aromatase mRNA as well as immunohistochemically detected protein and who were additionally suffering from moderate to severe dysmenorrhoea (visual analogue scale score >4/10) exhibited endometriosis at laparoscopy.
CONCLUSIONS: These findings provide direct evidence that screening for eutopic endometrial aromatase in combination with clinical data could be of discriminative value in the prediction of disease.

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Year:  2005        PMID: 15760962     DOI: 10.1093/humrep/deh796

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  8 in total

1.  Steroidogenic enzyme and key decidualization marker dysregulation in endometrial stromal cells from women with versus without endometriosis.

Authors:  L Aghajanova; A Hamilton; J Kwintkiewicz; K C Vo; L C Giudice
Journal:  Biol Reprod       Date:  2008-09-24       Impact factor: 4.285

Review 2.  Endometrial biomarkers for the non-invasive diagnosis of endometriosis.

Authors:  Devashana Gupta; M Louise Hull; Ian Fraser; Laura Miller; Patrick M M Bossuyt; Neil Johnson; Vicki Nisenblat
Journal:  Cochrane Database Syst Rev       Date:  2016-04-20

3.  Using location, color, size, and depth to characterize and identify endometriosis lesions in a cohort of 133 women.

Authors:  Barbara J Stegmann; Ninet Sinaii; Shannon Liu; James Segars; Maria Merino; Lynnette K Nieman; Pamela Stratton
Journal:  Fertil Steril       Date:  2007-07-26       Impact factor: 7.329

Review 4.  Combination of the non-invasive tests for the diagnosis of endometriosis.

Authors:  Vicki Nisenblat; Lucy Prentice; Patrick M M Bossuyt; Cindy Farquhar; M Louise Hull; Neil Johnson
Journal:  Cochrane Database Syst Rev       Date:  2016-07-13

Review 5.  Use of aromatase inhibitors to treat endometriosis-related pain symptoms: a systematic review.

Authors:  Simone Ferrero; David J Gillott; Pier L Venturini; Valentino Remorgida
Journal:  Reprod Biol Endocrinol       Date:  2011-06-21       Impact factor: 5.211

6.  Creation of immortalised epithelial cells from ovarian endometrioma.

Authors:  Y Bono; S Kyo; M Takakura; Y Maida; Y Mizumoto; M Nakamura; K Nomura; T Kiyono; M Inoue
Journal:  Br J Cancer       Date:  2012-02-21       Impact factor: 7.640

7.  An assessment of the multifactorial profile of steroid-metabolizing enzymes and steroid receptors in the eutopic endometrium during moderate to severe ovarian endometriosis.

Authors:  G Anupa; Jai Bhagwan Sharma; Kallol K Roy; Jayasree Sengupta; Debabrata Ghosh
Journal:  Reprod Biol Endocrinol       Date:  2019-12-26       Impact factor: 5.211

8.  CYP19 gene variant confers susceptibility to endometriosis-associated infertility in Chinese women.

Authors:  Ledan Wang; Xiaosheng Lu; Danhan Wang; Wanglei Qu; Wenju Li; Xiaowen Xu; Qiusui Huang; Xueying Han; Jieqiang Lv
Journal:  Exp Mol Med       Date:  2014-06-27       Impact factor: 8.718

  8 in total

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