Evidence map›Paper›PMID 35747791›Full record

SynthesisFrontiers in oncology2022

Emerging Role of MicroRNAs in the Therapeutic Response in Cervical Cancer: A Systematic Review.

Gloria Ravegnini, Francesca Gorini, Giulia Dondi, Marco Tesei, Eugenia De Crescenzo, Alessio G Morganti, Patrizia Hrelia, Pierandrea De Iaco, Sabrina Angelini, Anna Myriam Perrone

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Promising predictive molecular biomarkers for cervical cancer (Review).International journal of molecular medicine · 2024
    Review
  5. 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 at 2 institutions in 1 country.

Gloria RavegniniDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Francesca GoriniDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Giulia DondiDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marco TeseiDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Eugenia De CrescenzoDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Alessio G MorgantiDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
Patrizia HreliaDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Pierandrea De IacoDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Sabrina AngeliniDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Anna Myriam PerroneDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
University of Bologna · ITAzienda USL di Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is a common female cancer, with nearly 600,000 cases and more than 300,000 deaths worldwide every year. From a clinical point of view, surgery plays a key role in early cancer management, whereas advanced stages are treated with chemotherapy and/or radiation as adjuvant therapies. Nevertheless, predicting the degree of cancer response to chemotherapy or radiation therapy at diagnosis in order to personalize the clinical approach represents the biggest challenge in locally advanced cancers. The feasibility of such predictive models has been repeatedly assessed using histopathological factors, imaging and nuclear methods, tissue and fluid scans, however with poor results. In this context, the identification of novel potential biomarkers remains an unmet clinical need, and microRNAs (miRNAs) represent an interesting opportunity. With this in mind, the aim of this systematic review was to map the current literature on tumor and circulating miRNAs identified as significantly associated with the therapeutic response in cervical cancer; finally, a perspective point of view sheds light on the challenges ahead in this tumor. Systematic Review Registration: PROSPERO (CRD42021277980).

Indexed as

cervical cancerchemotherapyHPVmiRNAsradiotherapytherapeutic response

Identifiers

PMID35747791
PMCPMC9209727
OpenAlexW4281760422

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.