Evidence map›Paper›PMID 39041274›Full record

ArticleCombinatorial chemistry & high throughput screening2025

ADAMTS16 Suppression by MicroRNA-25 Leads to Oncogenic Properties in Renal Cell Carcinoma.

Jian Huang, Zhe Tang, Guang Jun Zhong, Lin Jie Guo, Ye Feng

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In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

5 authors.

Jian HuangDepartment of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, Hubei Province, P.R.China.
Zhe TangDepartment of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, Hubei Province, P.R.China.
Guang Jun ZhongDepartment of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, Hubei Province, P.R.China.
Lin Jie GuoDepartment of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, Hubei Province, P.R.China.
Ye FengDepartment of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, Hubei Province, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncreasing evidence indicates that microRNAs (miRNAs) play a crucial role in modulating tumor growth. This study is centered on investigating the contribution of miR-25 to the progression of Renal Cell Carcinoma (RCC).

methodsThe investigators examined the expression levels of miR-25 and ADAMTS16 in RCC samples and cell lines. The association between miR-25 and ADAMTS16 was validated via a luciferase reporter assay. Cell viability, apoptosis, migration, and invasion were evaluated utilizing CCK-8 and flow cytometry techniques, while the expression levels of ADAMTS16, β-catenin, GSK-3β, and p-GSK-3β were assessed through western blot analysis.

resultsThe investigation revealed elevated expression levels of miR-25 in RCC tissues. Subsequently, ADAMTS16 was identified as a target of miR-25. Increased miR-25 levels were associated with decreased expression of ADAMTS16, resulting in enhanced cell viability and diminished apoptosis. Conversely, inhibition of miR-25 led to decreased cell viability, proliferation, and migration. Additionally, the researchers observed that miR-25 triggered the phosphorylation of GSK-3β and β-catenin while leaving the total GSK-3β level unaffected.

conclusionThis study suggests that miR-25 regulates the expression of ADAMTS16 through the Wnt/β-catenin signaling pathway, providing new insights into the cause and potential treatment of RCC.

Indexed as

ADAMTS ProteinsCarcinoma, Renal CellKidney NeoplasmsMicroRNAsApoptosisCell Line, TumorCell MovementCell ProliferationCell SurvivalHumansADAMTS ProteinsMicroRNAsMIRN25 microRNA, humanADAMTS16invasion.metastasismiR-25proliferationrenal cell carcinoma

Identifiers

PMID39041274

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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.