Evidence map›Paper›PMID 34442102›Full record

ReviewHealthcare (Basel, Switzerland)2021

Towards Personalized Medicine: Non-Coding RNAs and Endometrial Cancer.

Anna Franca Cavaliere, Federica Perelli, Simona Zaami, Roberto Piergentili, Alberto Mattei, Giuseppe Vizzielli, Giovanni Scambia, Gianluca Straface, Stefano Restaino, Fabrizio Signore

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
–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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. PCR targeting 16S rRNA,Biomarkers in medicine · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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

10 authors.

Anna Franca CavaliereAzienda USL Toscana Centro, Gynecology and Obstetric Department, Santo Stefano Hospital, 59100 Prato, Italy.
Federica PerelliAzienda USL Toscana Centro, Gynecology and Obstetric Department, Santa Maria Annunziata Hospital, 50012 Florence, Italy.
Simona ZaamiDepartment of Anatomical, Histological, Forensic and Orthopedic Sciences, Sapienza University of Rome, Viale Regina Elena 336, 00161 Roma, Italy.ORCID 0000-0001-5741-7139
Roberto PiergentiliInstitute of Molecular Biology and Pathology, Italian National Research Council (CNR-IBPM), 00185 Rome, Italy.ORCID 0000-0001-7584-2171
Alberto MatteiAzienda USL Toscana Centro, Gynecology and Obstetric Department, Santa Maria Annunziata Hospital, 50012 Florence, Italy.
Giuseppe VizzielliGynecologic Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-2424-2691
Giovanni ScambiaGynecologic Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Gianluca StrafaceDivision of Perinatal Medicine, Policlinico Abano Terme, 35031 Abano Terme, Italy.
Stefano RestainoObstetrics, Gynecology and Pediatrics Department, Udine University Hospital, DAME, 33100 Udine, Italy.ORCID 0000-0002-7848-0329
Fabrizio SignoreObstetrics and Gynecology Department, USL Roma2, Sant'Eugenio Hospital, 00144 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most frequent female cancer associated with excellent prognosis if diagnosed at an early stage. The risk factors on which clinical staging is based are constantly updated and genetic and epigenetic characteristics have recently been emerging as prognostic markers. The evidence shows that non-coding RNAs (ncRNAs) play a fundamental role in various biological processes associated with the pathogenesis of EC and many of them also have a prognosis prediction function, of remarkable importance in defining the therapeutic and surveillance path of EC patients. Personalized medicine focuses on the continuous updating of risk factors that are identifiable early during the EC staging to tailor treatments to patients. This review aims to show a summary of the current classification systems and to encourage the integration of various risk factors, introducing the prognostic role of non-coding RNAs, to avoid aggressive therapies where not necessary and to treat and strictly monitor subjects at greater risk of relapse.

Indexed as

biomarkerscompeting endogenous RNAendometrial cancermolecular biologynon-coding RNAprognostic factorsrisk factors

Identifiers

PMID34442102
PMCPMC8393611

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.