Evidence map›Paper›PMID 35216305›Full record

ArticleInternational journal of molecular sciences2022

Integrative Genomic and Transcriptomic Profiling Reveals a Differential Molecular Signature in Uterine Leiomyoma versus Leiomyosarcoma.

Alba Machado-Lopez, Roberto Alonso, Victor Lago, Jorge Jimenez-Almazan, Marta Garcia, Javier Monleon, Susana Lopez, Francisco Barcelo, Amparo Torroba, Sebastian Ortiz and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Molecular Insights in Uterine Leiomyosarcoma: A Systematic Review.International journal of molecular sciences · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. MED12 dysregulation: insights into cancer and therapeutic resistance.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  7. CD34-positive pleomorphic uterine sarcoma with NUDT3::RAD51B fusion.Virchows Archiv : an international journal of pathology · 2025
    Article
  8. Leiomyosarcoma Therapeutic Approaches and Future Directions.Hematology/oncology clinics of North America · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Inhibition of Aberrantly Overexpressed Polo-like Kinase 4 Is a Potential Effective Treatment for DNA Damage Repair-Deficient Uterine Leiomyosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  14. Review
  15. Uterine leiomyoma with RAD51B::NUDT3 fusion: a report of 2 cases.Virchows Archiv : an international journal of pathology · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Targeting homologous recombination deficiency in uterine leiomyosarcoma.Journal of experimental & clinical cancer research : CR · 2023
    Article
  20. Review
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

13 authors at 4 institutions in 2 countries.

Alba Machado-LopezIgenomix Foundation, INCLIVA Biomedical Research Institute, 46980 Valencia, Spain.ORCID 0000-0003-4052-7694
Roberto AlonsoIgenomix Foundation, INCLIVA Biomedical Research Institute, 46980 Valencia, Spain.ORCID 0000-0002-2737-7559
Victor LagoGynecologic Oncology Department, University Hospital La Fe, 46026 Valencia, Spain.
Jorge Jimenez-AlmazanResearch and Development Department, Igenomix SL, 46980 Paterna, Spain.ORCID 0000-0001-7180-8793
Marta GarciaResearch and Development Department, Igenomix SL, 46980 Paterna, Spain.
Javier MonleonDepartment of Obstetrics and Gynecology, Hospital Universitario La Fe, 46026 Valencia, Spain.
Susana LopezDepartment of Pathology, Hospital Universitario La Fe, 46026 Valencia, Spain.
Francisco BarceloDepartment of Gynecology and Obstetrics, Gynecology Oncology Unit, Hospital Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.
Amparo TorrobaPathology Service, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.
Sebastian OrtizDepartment of Pathology, Complejo Hospitalario de Cartagena, 30202 Murcia, Spain.
Santiago DomingoGynecologic Oncology Department, University Hospital La Fe, 46026 Valencia, Spain.
Carlos SimonIgenomix Foundation, INCLIVA Biomedical Research Institute, 46980 Valencia, Spain.
Aymara MasIgenomix Foundation, INCLIVA Biomedical Research Institute, 46980 Valencia, Spain.ORCID 0000-0002-5866-6732
Igenomix · ESHospital Universitari i Politècnic La Fe · ESHospital Universitario Virgen de la Arrixaca · ESBeth Israel Deaconess Medical Center · US

Funding

Generalitat Valenciana FDEGENT/2019/010Instituto de Salud Carlos III CP19/00162Instituto de Salud Carlos III PI20/00942
6 · The paper itself

Abstract

The absence of standardized molecular profiling to differentiate uterine leiomyosarcomas versus leiomyomas represents a current diagnostic challenge. In this study, we aimed to search for a differential molecular signature for these myometrial tumors based on artificial intelligence. For this purpose, differential exome and transcriptome-wide research was performed on histologically confirmed leiomyomas (

Indexed as

LeiomyomaLeiomyosarcomaUterine NeoplasmsArtificial IntelligenceDiagnosis, DifferentialFemaleHumansTranscriptomeclassification modeldiagnostic/prognostic biomarkersdifferential gene expressionexome/transcriptomeintegrative analysisleiomyomaleiomyosarcomamachine learningmutational pattern

Identifiers

PMID35216305
PMCPMC8877247
OpenAlexW4213286186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.