Evidence map›Paper›PMID 39702128›Full record

ArticleCancer cell international2024

MicroRNA networks in prolactinoma tumorigenesis: a scoping review.

Sevil Ghaffarzadeh Rad, Fatemeh Nejadi Orang, Mahdi Abdoli Shadbad

Abstract readScoping Review
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Sevil Ghaffarzadeh RadResearch Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Fatemeh Nejadi OrangImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdi Abdoli ShadbadResearch Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran. abdolim@tbzmed.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProlactinoma is the leading type of pituitary adenoma. Aside from the mass-like effect of prolactinoma, its hormonal effect is the main pathological cause of endocrine dysregulation and infertility. The dopamine agonist administration and surgical resection are the current mainstream anti-neoplastic treatments for affected patients; however, tumor fibrosis, tumor invasion, dopamine agonist resistance, and gain prolactinomas are clinical challenges for treating affected patients. Therefore, there is a need to develop novel treatments for these patients. Although growing evidence has highlighted the significance of dysregulated microRNA (miRNA) expression in various malignancies, no study has systematically investigated the significance of miRNA networks and their therapeutic potential in prolactinoma. For this aim, the current scoping review was performed according to the systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR) guideline. MAIN BODY: The systematic study on PubMed, Web of Science, Scopus, and Embase databases has shown that miR-200c, miR-217, miR-93a, miR-93, miR-1299, and miR-9 are the oncogenic miRNAs and miR-137, miR-145-5p, miR-197-3p, miR-29a-3p, miR-489, miR-199a-5p, miR-124, miR-212, miR-129-5p, miR-130a-3p, miR-326, miR-432, miR-548c-3p, miR-570, miR-15, miR-16, miR-26a, miR-196a2, and let-7a are tumor-suppressive miRNAs in prolactinoma tumorigenesis.

conclusionIn summary, inhibiting the oncogenic miRNAs and ectopic expression of tumor-suppressive miRNAs can decrease prolactin secretion, reduce tumor invasion and migration, enhance dopamine agonist efficacy, and inhibit prolactinoma development. These findings can serve as a blueprint for future translational studies investigating miR-based therapeutics for prolactinoma.

Indexed as

CeRNACircRNALncRNAMicroRNAsProlactinoma

Identifiers

PMID39702128
PMCPMC11660578

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