Evidence map›Paper›PMID 42278419›Full record

ReviewInternational journal of molecular sciences2026

Translational Assessment of Omics Approaches in Endometriosis: Bridging Molecular Discovery with Clinical Utility.

Ivan Salido-Guadarrama, Oliver Cruz-Orozco, Ignacio Camacho-Arroyo, Juan Carlos Quintero, Jose Roberto Silvestri-Tomassoni, Brenda Sánchez-Ramírez, Mauricio Rodriguez-Dorantes

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ivan Salido-GuadarramaDepartamento de Bioinformática y Análisis Estadisticos, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Ciudad de México 11000, Mexico.ORCID 0000-0001-5166-6222
Oliver Cruz-OrozcoDepartamento de Ginecología Quirúrgica, Instituto Nacional de Perinatología, Ciudad de México 11000, Mexico.
Ignacio Camacho-ArroyoUnidad de Investigación en Reproducción Humana, Instituto Nacional de Perinatología-Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México 11000, Mexico.
Juan Carlos QuinteroFacultad de Química, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Jose Roberto Silvestri-TomassoniDepartamento de Ginecología Quirúrgica, Instituto Nacional de Perinatología, Ciudad de México 11000, Mexico.
Brenda Sánchez-RamírezDepartamento de Ginecología Quirúrgica, Instituto Nacional de Perinatología, Ciudad de México 11000, Mexico.
Mauricio Rodriguez-DorantesInstituto Nacional de Medicina Genómica, Periférico Sur 4809, Ciudad de México 14610, Mexico.ORCID 0000-0003-4249-7222

Funding

Ministry of Sciences, Humanities, Technology and Innovation CF-2023-G-234
6 · The paper itself

Abstract

Endometriosis affects an estimated 5-10% of women of reproductive age and presents with substantial clinical and biological heterogeneity. Recent clinical guidelines have shifted toward symptom-guided diagnosis supported by expert imaging, moving away from mandatory diagnostic laparoscopy and redefining the evidentiary standards for evaluating new diagnostic technologies. Advances across omics domains, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, extracellular vesicle profiling, microbiome research, and multi-omics integration, have deepened understanding of lesion biology, immune dysregulation, metabolic alterations, and progesterone resistance. However, translation of these molecular insights into clinically actionable tools remains limited. Most candidate biomarkers remain at discovery or internal/developer-led validation stages, constrained by small sample sizes, heterogeneous analytical platforms, incomplete control of confounding variables, and limited independent multicenter validation. In this review, we apply a four-tier evidence-maturity framework, spanning discovery, internal or developer-led validation, independent external validation, and demonstrated clinical utility, to classify omics-based diagnostic, prognostic, and treatment-response applications in endometriosis. We also distinguish potential clinical roles, including triage, adjunctive testing, and replacement-test evaluation, each requiring different validation standards and performance thresholds. Salivary microRNA currently represents the most clinically advanced diagnostic omics candidate, but the available evidence remains developer-led and is best classified as advanced Tier 2/Tier 2+ rather than independent Tier 3 validation. Prognostic and treatment-response applications are less mature and remain discovery-stage because prospective patient-level longitudinal validation and biomarker-stratified treatment trials are lacking. Overall, no omics-derived biomarker has yet achieved independent Tier 3 validation or Tier 4 readiness for routine clinical implementation. At present, omics approaches should be regarded primarily as research and translational prioritization tools rather than determinants of routine clinical decision-making.

Indexed as

EndometriosisGenomicsTranslational Research, BiomedicalBiomarkersFemaleHumansMetabolomicsMultiomicsProteomicsBiomarkersbiomarkersclinical translationendometriosismulti-omics

Identifiers

PMID42278419
PMCPMC13257112

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.