Discovery study in endometrial samples using RNA-HighSeq to build classifiers to differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis

A discovery study using RNA-HighSeq from 37 endometrial biopsies was performed to build classifiers that differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis. Total RNA was extracted from endometrial biopsies. We found an AUC of 0.97 where the classifier differentiated almost perfectly all three diseases together from the control group when including 11 phenotypic variables of the patients in the classifier. Transcriptome analysis by RNASeq of endometrial samples from control patients, women suffering from ovarian and deep infiltrating endometriosis as well women suffering from as adenomyosis.

本研究纳入37份子宫内膜活检样本，采用RNA-HighSeq技术开展探索性分析，旨在构建可区分对照组受试者与子宫腺肌病、卵巢型子宫内膜异位症及深部浸润型子宫内膜异位症患者的分类器。研究人员从上述子宫内膜活检样本中提取总RNA。研究结果显示，当分类器纳入11项患者表型变量时，其区分三类疾病与对照组的曲线下面积（AUC）可达0.97，可近乎完美地实现该区分效果。本研究同时通过RNA测序（RNASeq）对对照组受试者、卵巢型及深部浸润型子宫内膜异位症患者与子宫腺肌病患者的子宫内膜样本开展转录组分析。