Evidence map›Paper›PMID 38836981›Full record

ReviewCell biology and toxicology2024

The microRNA Let-7 and its exosomal form: Epigenetic regulators of gynecological cancers.

Fei Wang, Chundi Zhou, Yanping Zhu, Maryam Keshavarzi

Abstract readReview
In one paragraph

Review in Cell biology and toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Tumor-derived extracellular vesicles: Bridging communication and next-generation theranostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
    Review
  3. Article
  4. Article
  5. Review
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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

4 authors.

Fei WangHaiyan People's Hospital, Zhejiang Province, Jiaxing, 314300, Zhejiang, China.
Chundi ZhouHaiyan People's Hospital, Zhejiang Province, Jiaxing, 314300, Zhejiang, China.
Yanping ZhuHaiyan People's Hospital, Zhejiang Province, Jiaxing, 314300, Zhejiang, China. a154210891@163.com.
Maryam KeshavarziSchool of Medicine, Tehran University of Medical Sciences, Tehran, Tehran, Iran. Kheshavarzi.m124@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many types of gynecological cancer (GC) are often silent until they reach an advanced stage, and are therefore often diagnosed too late for effective treatment. Hence, there is a real need for more efficient diagnosis and treatment for patients with GC. During recent years, researchers have increasingly studied the impact of microRNAs cancer development, leading to a number of applications in detection and treatment. MicroRNAs are a particular group of tiny RNA molecules that regulate regular gene expression by affecting the translation process. The downregulation of numerous miRNAs has been observed in human malignancies. Let-7 is an example of a miRNA that controls cellular processes as well as signaling cascades to affect post-transcriptional gene expression. Recent research supports the hypothesis that enhancing let-7 expression in those cancers where it is downregulated may be a potential treatment option. Exosomes are tiny vesicles that move through body fluids and can include components like miRNAs (including let-7) that are important for communication between cells. Studies proved that exosomes are able to enhance tumor growth, angiogenesis, chemoresistance, metastasis, and immune evasion, thus suggesting their importance in GC management.

Indexed as

Epigenesis, GeneticExosomesGene Expression Regulation, NeoplasticGenital Neoplasms, FemaleMicroRNAsAnimalsFemaleHumansMicroRNAsmirnlet7 microRNA, humanCervical cancerEndometrial cancerGyncological cancerLet-7MicroRNAOvarian cancer

Identifiers

PMID38836981
PMCPMC11153289

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Registered trials

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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.