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Sadłocha M, Toczek J, Major K, Staniczek J, Stojko R. Endometriosis: Molecular Pathophysiology and Recent Treatment Strategies-Comprehensive Literature Review. Pharmaceuticals (Basel) 2024; 17:827. [PMID: 39065678 PMCID: PMC11280110 DOI: 10.3390/ph17070827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/30/2024] [Accepted: 06/19/2024] [Indexed: 07/28/2024] Open
Abstract
Endometriosis is an enigmatic disease, with no specific cause or trigger yet discovered. Major factors that may contribute to endometriosis in the pelvic region include environmental, epigenetic, and inflammatory factors. Most experts believe that the primary mechanism behind the formation of endometrial lesions is associated with Sampson's theory of "retrograde menstruation". This theory suggests that endometrial cells flow backward into the peritoneal cavity, leading to the development of endometrial lesions. Since this specific mechanism is also observed in healthy women, additional factors may be associated with the formation of endometrial lesions. Current treatment options primarily consist of medical or surgical therapies. To date, none of the available medical therapies have proven effective in curing the disorder, and symptoms tend to recur once medications are discontinued. Therefore, there is a need to explore and develop novel biomedical targets aimed at the cellular and molecular mechanisms responsible for endometriosis growth. This article discusses a recent molecular pathophysiology associated with the formation and progression of endometriosis. Furthermore, the article summarizes the most current medications and surgical strategies currently under investigation for the treatment of endometriosis.
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Affiliation(s)
- Marcin Sadłocha
- Department of Gynecology, Obstetrics and Oncological Gynecology, The Medical University of Silesia in Katowice, Markiefki 87, 40-211 Katowice, Poland; (J.T.); (R.S.)
| | - Jakub Toczek
- Department of Gynecology, Obstetrics and Oncological Gynecology, The Medical University of Silesia in Katowice, Markiefki 87, 40-211 Katowice, Poland; (J.T.); (R.S.)
| | - Katarzyna Major
- Department of Neonatology, Municipal Hospital in Ruda Śląska, Wincentego Lipa 2, 41-703 Ruda Śląska, Poland;
| | - Jakub Staniczek
- Department of Gynecology, Obstetrics and Oncological Gynecology, The Medical University of Silesia in Katowice, Markiefki 87, 40-211 Katowice, Poland; (J.T.); (R.S.)
| | - Rafał Stojko
- Department of Gynecology, Obstetrics and Oncological Gynecology, The Medical University of Silesia in Katowice, Markiefki 87, 40-211 Katowice, Poland; (J.T.); (R.S.)
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Dabi Y, Suisse S, Marie Y, Delbos L, Poilblanc M, Descamps P, Golfier F, Jornea L, Forlani S, Bouteiller D, Touboul C, Puchar A, Bendifallah S, Daraï E. New class of RNA biomarker for endometriosis diagnosis: The potential of salivary piRNA expression. Eur J Obstet Gynecol Reprod Biol 2023; 291:88-95. [PMID: 37857147 DOI: 10.1016/j.ejogrb.2023.10.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 10/02/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVES In contrast to miRNA expression, little attention has been given to piwiRNA (piRNA) expression among endometriosis patients. The aim of the present study was to explore the human piRNAome and to investigate a potential piRNA saliva-based diagnostic signature for endometriosis. METHODS Data from the prospective "ENDOmiRNA" study (ClinicalTrials.gov Identifier: NCT04728152) were used. Saliva samples from 200 patients were analyzed in order to evaluate human piRNA expression using the piRNA bank. Next Generation Sequencing (NGS), barcoding of unique molecular identifiers and both Artificial Intelligence (AI) and machine learning (ML) were used. For each piRNA, sensitivity, specificity, and ROC AUC values were calculated for the diagnosis of endometriosis. RESULTS 201 piRNAs were identified, none had an AUC ≥ 0.70, and only three piRNAs (piR-004153, piR001918, piR-020401) had an AUC between ≥ 0.6 and < 0.70. Seven were differentially expressed: piR-004153, piR-001918, piR-020401, piR-012864, piR-017716, piR-020326 and piR-016904. The respective correlation and accuracy to diagnose endometriosis according to the F1-score, sensitivity, specificity, and AUC ranged from 0 to 0.862 %, 0-0.961 %, 0.085-1, and 0.425-0.618. A correlation was observed between the patients' age (≥35 years) and piR-004153 (p = 0.002) and piR-017716 (p = 0.030). Among the 201 piRNAs, four were differentially expressed in patients with and without hormonal treatment: piR-004153 (p = 0.015), piR-020401 (p = 0.001), piR-012864 (p = 0.036) and piR-017716 (p = 0.009). CONCLUSION Our results support the link between piRNAs and endometriosis physiopathology and establish its utility as a potential diagnostic biomarker using saliva samples. Per se, piRNA expression should be analyzed along with the clinical status of a patient.
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Affiliation(s)
- Yohann Dabi
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020 Paris, France; Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), France.
| | | | - Yannick Marie
- Department of Obstetrics and Reproductive Medicine - CHU d'Angers, France
| | - Léa Delbos
- Department of Obstetrics and Reproductive Medicine - CHU d'Angers, France; Endometriosis Expert Center - Pays de la Loire, France
| | - Mathieu Poilblanc
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, France; Endometriosis Expert Center - Steering Center of the EndAURA Network, France
| | - Philippe Descamps
- Department of Obstetrics and Reproductive Medicine - CHU d'Angers, France; Endometriosis Expert Center - Pays de la Loire, France
| | - Francois Golfier
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, France; Endometriosis Expert Center - Steering Center of the EndAURA Network, France
| | - Ludmila Jornea
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Sylvie Forlani
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Delphine Bouteiller
- Gentoyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle épinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - Cyril Touboul
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020 Paris, France; Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), France
| | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020 Paris, France; Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), France
| | - Sofiane Bendifallah
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020 Paris, France; Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), France
| | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020 Paris, France; Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), France
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Dabi Y, Suisse S, Puchar A, Delbos L, Poilblanc M, Descamps P, Haury J, Golfier F, Jornea L, Bouteiller D, Touboul C, Daraï E, Bendifallah S. Endometriosis-associated infertility diagnosis based on saliva microRNA signatures. Reprod Biomed Online 2023; 46:138-149. [PMID: 36411203 DOI: 10.1016/j.rbmo.2022.09.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/12/2022] [Accepted: 09/21/2022] [Indexed: 01/31/2023]
Abstract
RESEARCH QUESTION Can a saliva-based miRNA signature for endometriosis-associated infertility be designed and validated by analysing the human miRNome? DESIGN The prospective ENDOmiARN study (NCT04728152) included 200 saliva samples obtained between January 2021 and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy, magnetic resonance imaging, or both. Patients diagnosed with endometriosis were allocated to one of two groups according to their fertility status. Data analysis consisted of identifying a set of miRNA biomarkers using next-generation sequencing, and development of a saliva-based miRNA signature of infertility among patients with endometriosis based on a random forest model. RESULTS Among the 153 patients diagnosed with endometriosis, 24% (n = 36) were infertile and 76% (n = 117) were fertile. Small RNA-sequencing of the 153 saliva samples yielded approximately 3712 M raw sequencing reads (from ∼13.7 M to ∼39.3 M reads/sample). Of the 2561 known miRNAs, the feature selection method generated a signature of 34 miRNAs linked to endometriosis-associated infertility. After validation, the most accurate signature model had a sensitivity, specificity and area under the curve of 100%. CONCLUSION A saliva-based miRNA signature for endometriosis-associated infertility is reported. Although the results still require external validation before using the signature in routine practice, this non-invasive tool is likely to have a major effect on care provided to women with endometriosis.
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Affiliation(s)
- Yohann Dabi
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020; Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU); Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, Paris 75020, France
| | | | - Anne Puchar
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020
| | - Léa Delbos
- Department of Obstetrics and Reproductive Medicine, CHU d'Angers, Endometriosis Expert Center, Pays de la Loire, France
| | - Mathieu Poilblanc
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, Lyon, France; Endometriosis Expert Center, Steering Committee of the EndAURA Network
| | - Philippe Descamps
- Department of Obstetrics and Reproductive Medicine, CHU d'Angers, Endometriosis Expert Center, Pays de la Loire, France
| | - Julie Haury
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020
| | - Francois Golfier
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, Lyon, France; Endometriosis Expert Center, Steering Committee of the EndAURA Network
| | - Ludmila Jornea
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Delphine Bouteiller
- Genotyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle Epinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l'Hôpital, Paris 75013, France
| | - Cyril Touboul
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020; Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU); Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, Paris 75020, France
| | - Emile Daraï
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020; Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU)
| | - Sofiane Bendifallah
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, Paris 75020; Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU); Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, Paris 75020, France.
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Bendifallah S, Dabi Y, Suisse S, Jornea L, Bouteiller D, Touboul C, Puchar A, Daraï E. A Bioinformatics Approach to MicroRNA-Sequencing Analysis Based on Human Saliva Samples of Patients with Endometriosis. Int J Mol Sci 2022; 23:8045. [PMID: 35887388 PMCID: PMC9317484 DOI: 10.3390/ijms23148045] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/16/2022] [Accepted: 07/16/2022] [Indexed: 02/01/2023] Open
Abstract
Endometriosis, defined by the presence of endometrium-like tissue outside the uterus, affects 2-10% of the female population, i.e., around 190 million women, worldwide. The aim of the prospective ENDO-miRNA study was to develop a bioinformatics approach for microRNA-sequencing analysis of 200 saliva samples for miRNAome expression and to test its diagnostic accuracy for endometriosis. Among the 200 patients, 76.5% (n = 153) had confirmed endometriosis and 23.5% (n = 47) had no endometriosis (controls). Small RNA-seq of 200 saliva samples yielded ~4642 M raw sequencing reads (from ~13.7 M to ~39.3 M reads/sample). The number of expressed miRNAs ranged from 1250 (outlier) to 2561 per sample. Some 2561 miRNAs were found to be differentially expressed in the saliva samples of patients with endometriosis compared with the control patients. Among these, 1.17% (n = 30) were up- or downregulated. Among these, the F1-score, sensitivity, specificity, and AUC ranged from 11-86.8%, 5.8-97.4%, 10.6-100%, and 39.3-69.2%, respectively. Here, we report a bioinformatic approach to saliva miRNA sequencing and analysis. We underline the advantages of using saliva over blood in terms of ease of collection, reproducibility, stability, safety, non-invasiveness. This report describes the whole saliva transcriptome to make miRNA quantification a validated, standardized, and reliable technique for routine use. The methodology could be applied to build a saliva signature of endometriosis.
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Affiliation(s)
- Sofiane Bendifallah
- Department of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6: Endometriosis Expert Center (C3E), Sorbonne University (GRC6 C3E SU), 75020 Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020 Paris, France
| | - Yohann Dabi
- Department of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6: Endometriosis Expert Center (C3E), Sorbonne University (GRC6 C3E SU), 75020 Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020 Paris, France
| | | | - Ludmila Jornea
- Paris Brain Institute-Institut du Cerveau-ICM, Sorbonne University, Inserm U1127, CNRS UMR 7225, AP-HP-Hôpital Pitié-Salpêtrière, 75013 Paris, France;
| | - Delphine Bouteiller
- Gentoyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle Épinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013 Paris, France;
| | - Cyril Touboul
- Department of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6: Endometriosis Expert Center (C3E), Sorbonne University (GRC6 C3E SU), 75020 Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020 Paris, France
| | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
| | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6: Endometriosis Expert Center (C3E), Sorbonne University (GRC6 C3E SU), 75020 Paris, France
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Bendifallah S, Dabi Y, Suisse S, Delbos L, Poilblanc M, Descamps P, Golfier F, Jornea L, Bouteiller D, Touboul C, Puchar A, Daraï E. Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study. Diagnostics (Basel) 2022; 12:1150. [PMID: 35626305 PMCID: PMC9140062 DOI: 10.3390/diagnostics12051150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/19/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of our study was to describe the bioinformatics approach to analyze miRNome with Next Generation Sequencing (NGS) of 200 plasma samples from patients with and without endometriosis. Patients were prospectively included in the ENDO-miRNA study that selected patients with pelvic pain suggestive of endometriosis. miRNA sequencing was performed using an Novaseq6000 sequencer (Illumina, San Diego, CA, USA). Small RNA-seq of 200 plasma samples yielded ~4228 M raw sequencing reads. A total of 2633 miRNAs were found differentially expressed. Among them, 8.6% (n = 229) were up- or downregulated. For these 229 miRNAs, the F1-score, sensitivity, specificity, and AUC ranged from 0-88.2%, 0-99.4%, 4.3-100%, and 41.5-68%, respectively. Utilizing the combined bioinformatic and NGS approach, a specific and broad panel of miRNAs was detected as being potentially suitable for building a blood signature of endometriosis.
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Affiliation(s)
- Sofiane Bendifallah
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University (GRC6 C3E SU), 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (E.D.)
- Cancer Biology and Therapeutics INSERM UMR_S_938, Centre de Recherche Saint-Antoine (CRSA), 75020 Paris, France
| | - Yohann Dabi
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University (GRC6 C3E SU), 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (E.D.)
- Cancer Biology and Therapeutics INSERM UMR_S_938, Centre de Recherche Saint-Antoine (CRSA), 75020 Paris, France
| | | | - Léa Delbos
- Endometriosis Expert Center—Pays de la Loire, Department of Obstetrics and Reproductive Medicine—CHU d’Angers, 49100 Angers, France; (L.D.); (P.D.)
| | - Mathieu Poilblanc
- Endometriosis Expert Center—Steering Committee of the EndAURA Network, Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, 69310 Pierre Bénite, France; (M.P.); (F.G.)
| | - Philippe Descamps
- Endometriosis Expert Center—Pays de la Loire, Department of Obstetrics and Reproductive Medicine—CHU d’Angers, 49100 Angers, France; (L.D.); (P.D.)
| | - Francois Golfier
- Endometriosis Expert Center—Steering Committee of the EndAURA Network, Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, 69310 Pierre Bénite, France; (M.P.); (F.G.)
| | - Ludmila Jornea
- Paris Brain Institute—Institut du Cerveau—ICM, Inserm U1127, CNRS UMR 7225, AP-HP—Hôpital Pitié-Salpêtrière, Sorbonne University, 75006 Paris, France;
| | - Delphine Bouteiller
- Genotyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle épinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013 Paris, France;
| | - Cyril Touboul
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University (GRC6 C3E SU), 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (E.D.)
- Cancer Biology and Therapeutics INSERM UMR_S_938, Centre de Recherche Saint-Antoine (CRSA), 75020 Paris, France
| | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 rue de la Chine, 75020 Paris, France;
| | - Emile Daraï
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University (GRC6 C3E SU), 4 rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (E.D.)
- Cancer Biology and Therapeutics INSERM UMR_S_938, Centre de Recherche Saint-Antoine (CRSA), 75020 Paris, France
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Bendifallah S, Dabi Y, Suisse S, Jornea L, Bouteiller D, Touboul C, Puchar A, Daraï E. MicroRNome analysis generates a blood-based signature for endometriosis. Sci Rep 2022; 12:4051. [PMID: 35260677 PMCID: PMC8902281 DOI: 10.1038/s41598-022-07771-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 02/16/2022] [Indexed: 02/07/2023] Open
Abstract
Endometriosis, characterized by endometrial-like tissue outside the uterus, is thought to affect 2-10% of women of reproductive age: representing about 190 million women worldwide. Numerous studies have evaluated the diagnostic value of blood biomarkers but with disappointing results. Thus, the gold standard for diagnosing endometriosis remains laparoscopy. We performed a prospective trial, the ENDO-miRNA study, using both Artificial Intelligence (AI) and Machine Learning (ML), to analyze the current human miRNome to differentiate between patients with and without endometriosis, and to develop a blood-based microRNA (miRNA) diagnostic signature for endometriosis. Here, we present the first blood-based diagnostic signature obtained from a combination of two robust and disruptive technologies merging the intrinsic quality of miRNAs to condense the endometriosis phenotype (and its heterogeneity) with the modeling power of AI. The most accurate signature provides a sensitivity, specificity, and Area Under the Curve (AUC) of 96.8%, 100%, and 98.4%, respectively, and is sufficiently robust and reproducible to replace the gold standard of diagnostic surgery. Such a diagnostic approach for this debilitating disorder could impact recommendations from national and international learned societies.
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Affiliation(s)
- Sofiane Bendifallah
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020, Paris, France.
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France.
| | - Yohann Dabi
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020, Paris, France
| | - Stéphane Suisse
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Ludmila Jornea
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Delphine Bouteiller
- Gentoyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle épinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l'Hôpital, 75013, Paris, France
| | - Cyril Touboul
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 rue de la Chine, 75020, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
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Bendifallah S, Suisse S, Puchar A, Delbos L, Poilblanc M, Descamps P, Golfier F, Jornea L, Bouteiller D, Touboul C, Dabi Y, Daraï E. Salivary MicroRNA Signature for Diagnosis of Endometriosis. J Clin Med 2022; 11:612. [PMID: 35160066 PMCID: PMC8836532 DOI: 10.3390/jcm11030612] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/22/2022] [Accepted: 01/24/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Endometriosis diagnosis constitutes a considerable economic burden for the healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We sought to analyze the human miRNAome to define a saliva-based diagnostic miRNA signature for endometriosis. METHODS We performed a prospective ENDO-miRNA study involving 200 saliva samples obtained from 200 women with chronic pelvic pain suggestive of endometriosis collected between January and June 2021. The study consisted of two parts: (i) identification of a biomarker based on genome-wide miRNA expression profiling by small RNA sequencing using next-generation sequencing (NGS) and (ii) development of a saliva-based miRNA diagnostic signature according to expression and accuracy profiling using a Random Forest algorithm. RESULTS Among the 200 patients, 76.5% (n = 153) were diagnosed with endometriosis and 23.5% (n = 47) without (controls). Small RNA-seq of 200 saliva samples yielded ~4642 M raw sequencing reads (from ~13.7 M to ~39.3 M reads/sample). Quantification of the filtered reads and identification of known miRNAs yielded ~190 M sequences that were mapped to 2561 known miRNAs. Of the 2561 known miRNAs, the feature selection with Random Forest algorithm generated after internally cross validation a saliva signature of endometriosis composed of 109 miRNAs. The respective sensitivity, specificity, and AUC for the diagnostic miRNA signature were 96.7%, 100%, and 98.3%. CONCLUSIONS The ENDO-miRNA study is the first prospective study to report a saliva-based diagnostic miRNA signature for endometriosis. This could contribute to improving early diagnosis by means of a non-invasive tool easily available in any healthcare system.
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Affiliation(s)
- Sofiane Bendifallah
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.P.); (C.T.); (Y.D.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
| | | | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.P.); (C.T.); (Y.D.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
| | - Léa Delbos
- Department of Obstetrics and Reproductive Medicine, Centre Hospitalier Universitaire, 49000 Angers, France; (L.D.); (P.D.)
- Endometriosis Expert Center, Pays de la Loire, 49000 Angers, France
| | - Mathieu Poilblanc
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, 69008 Lyon, France; (M.P.); (F.G.)
- Endometriosis Expert Center, Steering Committee of the EndAURA Network, 75020 Paris, France
| | - Philippe Descamps
- Department of Obstetrics and Reproductive Medicine, Centre Hospitalier Universitaire, 49000 Angers, France; (L.D.); (P.D.)
- Endometriosis Expert Center, Pays de la Loire, 49000 Angers, France
| | - Francois Golfier
- Department of Obstetrics and Reproductive Medicine, Lyon South University Hospital, Lyon Civil Hospices, 69008 Lyon, France; (M.P.); (F.G.)
- Endometriosis Expert Center, Steering Committee of the EndAURA Network, 75020 Paris, France
| | - Ludmila Jornea
- Paris Brain Institute—Institut du Cerveau—ICM, Inserm U1127, CNRS UMR 7225, AP-HP—Hôpital Pitié-Salpêtrière, Sorbonne University, 75020 Paris, France;
| | - Delphine Bouteiller
- Genotyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle Epinière, Institut du Cerveau, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013 Paris, France;
| | - Cyril Touboul
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.P.); (C.T.); (Y.D.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
| | - Yohann Dabi
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.P.); (C.T.); (Y.D.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
| | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.P.); (C.T.); (Y.D.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
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Dabi Y, Suisse S, Jornea L, Bouteiller D, Touboul C, Puchar A, Daraï E, Bendifallah S. Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Plasma Micro-RNA Expression. Diagnostics (Basel) 2022; 12:175. [PMID: 35054341 PMCID: PMC8774370 DOI: 10.3390/diagnostics12010175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/06/2022] [Accepted: 01/09/2022] [Indexed: 02/07/2023] Open
Abstract
The pathophysiology of endometriosis remains poorly understood. The aim of the present study was to investigate functions and pathways associated with the various miRNAs differentially expressed in patients with endometriosis. Plasma samples of the 200 patients from the prospective "ENDO-miRNA" study were analyzed and all known human miRNAs were sequenced. For each miRNA, sensitivity, specificity, and ROC AUC values were calculated for the diagnosis of endometriosis. miRNAs with an AUC ≥ 0.6 were selected for further analysis. A comprehensive review of recent articles from the PubMed, Clinical Trials.gov, Cochrane Library, and Web of Science databases was performed to identify functions and pathways associated with the selected miRNAs. In total, 2633 miRNAs were found in the patients with endometriosis. Among the 57 miRNAs with an AUC ≥ 0.6: 20 had never been reported before; one (miR-124-3p) had previously been observed in endometriosis; and the remaining 36 had been reported in benign and malignant disorders. miR-124-3p is involved in ectopic endometrial cell proliferation and invasion and plays a role in the following pathways: mTOR, STAT3, PI3K/Akt, NF-κB, ERK, PLGF-ROS, FGF2-FGFR, MAPK, GSK3B/β-catenin. Most of the remaining 36 miRNAs are involved in carcinogenesis through cell proliferation, apoptosis, and invasion. The three main pathways involved are Wnt/β-catenin, PI3K/Akt, and NF-KB. Our results provide evidence of the relation between the miRNA profiles of patients with endometriosis and various signaling pathways implicated in its pathophysiology.
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Affiliation(s)
- Yohann Dabi
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020 Paris, France
| | | | - Ludmila Jornea
- Paris Brain Institute—Institut du Cerveau—ICM, Inserm U1127, CNRS UMR 7225, AP-HP—Hôpital Pitié-Salpêtrière, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France;
| | - Delphine Bouteiller
- Gentoyping and Sequencing Core Facility, iGenSeq, Institut du Cerveau et de la Moelle Épinière, ICM, Hôpital Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013 Paris, France;
| | - Cyril Touboul
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
- Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine (CRSA), Sorbonne University, INSERM UMR_S_938, 75020 Paris, France
| | - Anne Puchar
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
| | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
| | - Sofiane Bendifallah
- Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Sorbonne University, 4 Rue de la Chine, 75020 Paris, France; (Y.D.); (C.T.); (A.P.); (E.D.)
- Clinical Research Group (GRC) Paris 6, Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), 4 Rue de la Chine, 75020 Paris, France
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