Evidence map›Paper›PMID 37234986›Full record

ReviewFrontiers in oncology2023

Value of non-coding RNAs to assess lymph node status in cervical cancer.

Yohann Dabi, Amelia Favier, Léo Razakamanantsoa, Stéphane Suisse, Yannick Marie, Cyril Touboul, Clément Ferrier, Sofiane Bendifallah, Emile Daraï

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. 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

9 authors.

Yohann DabiSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.
Amelia FavierSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.
Léo RazakamanantsoaSorbonne University, Inserm UMR S 938, Centre de recherche de saint Antoine (CRSA), Hôpital Saint Antoine, Paris, France.
Stéphane SuisseZiwig, Lyon, France.
Yannick MarieGentoyping and Sequencing core facility, iGenSeq, Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle (ICM), Hôpital Pitié-Salpêtrière, Paris, France.
Cyril TouboulSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.
Clément FerrierSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.
Sofiane BendifallahSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.
Emile DaraïSorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) is the fourth cancer in women and is the leading cause of cancer death in 42 countries. Lymph node metastasis is a determinant prognostic factor, as underlined in the latest FIGO classification. However, assessment of lymph node status remains difficult, despite the progress of imaging such as PET-CT and MRI. In the specific setting of CC, all data underlined the need for new biomarkers easily available to assess lymph node status. Previous studies have underlined the potential value of ncRNA expression in gynecological cancers. In this review, we aimed to evaluate the contribution of ncRNAs in tissue and biofluid samples to determine lymph node status in CC with potential impact on both surgical and adjuvant therapies. In tissue samples, our analysis found that there are arguments to support the role of ncRNAs in physiopathology, differential diagnosis from normal tissue, preinvasive and invasive tumors. In biofluids, despite small studies especially concerning miRNAs expression, promising data opens up new avenue to establish a non-invasive signature for lymph node status as well as a tool to predict response to neo- and adjuvant therapies, thus improving management algorithm of patients with CC.

Indexed as

biomarkercervical cancerlong non coding RNAlymph node metastasismicroRNAnon-coding RNA

Identifiers

PMID37234986
PMCPMC10206114

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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.