Evidence map›Paper›PMID 41097896›Full record

ArticleJournal of pathology and translational medicine2025

Clinicopathological implications of miR-3127 in melanoma.

Truong Phan-Xuan Nguyen, Minh-Khang Le, Chau M Bui, Vuong Gia Huy

Abstract read
In one paragraph

Article in Journal of pathology and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Truong Phan-Xuan NguyenDepartment of Pathology, School of Medicine, University of Medicine & Pharmacy at Ho Chi Minh City, Ho Chi Minh, Vietnam.
Minh-Khang LeDepartment of Pathology, University of Yamanashi, Yamanashi, Japan.
Chau M BuiDepartment of Pathology, University of Rochester Medical Center, Rochester, NY, USA.
Vuong Gia HuyDepartment of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCutaneous melanoma is the most lethal of all skin cancers. Recent studies suggested that miR-3127 is dysregulated in multiple tumor types and has important roles in tumorigenesis and cancer progression, giving it potential as a prognostic biomarker. The aim of this study was to use bioinformatic analysis to assess miR-3127 expression and correlate expression patterns with disease course in patients with cutaneous melanoma.

methodsmiRNA, mRNA sequencing, DNA methylation data, and clinical information of cutaneous melanoma cases were downloaded from the Human Cancer Atlas - Skin Cutaneous Melanoma (TCGA-SKCM). miR-3127 expression was classified into miR-3127-low and miR-3127-high clusters using maximally selected rank statistics.

resultsClustering analysis showed that high expression of miR-3127 (≥20.3 reads per million) was associated with worse progression-free (p < .001) and overall (p = .011) survival compared to low miR-3127 expression. More than five thousand differentially expressed genes between the two miR-3127 sample groups encoded cell differentiation markers, cytokines, growth factors, translocated cancer genes, and oncogenes. Pathway analysis revealed that miR-3127-high samples related to activity of proliferation, DNA repair, and ultraviolet response.

conclusionsThe expression level of miR-3127 could act as a prognostic indicator for patients with melanoma.

Indexed as

Cancer survivalMelanomamiRNAPrognosisSurvival

Identifiers

PMID41097896
PMCPMC12634250

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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.