Evidence map›Paper›PMID 42136656›Full record

ReviewFrontiers in immunology2026

Multiple roles of MicroRNAs in melanoma: biomarkers for diagnosis, prognosis, and treatment prediction.

Zicheng Huang, Yuanke He, Qianyu Chen, Ting Hu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. 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

4 authors.

Zicheng HuangThe First Clinical College, Chongqing Medical University, Chongqing, China.
Yuanke HeThe First Clinical College, Chongqing Medical University, Chongqing, China.
Qianyu ChenThe First Clinical College, Chongqing Medical University, Chongqing, China.
Ting HuState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma, a highly malignant form of skin cancer, continues to rise in incidence worldwide. Early diagnosis and accurate prognostic assessment are critical to reducing melanoma-related mortality rates. MicroRNAs (miRNAs), a class of non-coding RNAs approximately 22 nucleotides in length, play pivotal roles in melanoma initiation, progression, invasion, and metastasis by regulating the expression of target genes. Beyond their cell-intrinsic functions, miRNAs are increasingly recognized as critical regulators of the tumor immune microenvironment (TIME). They modulate anti-tumor immune responses by influencing immune checkpoint expression, immune cell recruitment and function, and intercellular communication via extracellular vesicles (EVs). This comprehensive review explores the multifaceted functions of miRNAs in melanoma, highlighting their potential as diagnostic markers, prognostic indicators, and predictors of therapeutic response. It also addresses current research challenges and explores future directions, including the integration of AI-powered spatial transcriptomics to decipher the complex, context-dependent networks of miRNAs within the TIME, offering a theoretical foundation and novel insights for precision medicine in melanoma treatment.

Indexed as

Biomarkers, TumorMelanomaMicroRNAsSkin NeoplasmsAnimalsGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorMicroRNAsdiagnostic biomarkermelanomamicroRNAprognostic assessmenttreatment predictiontumor immune microenvironment

Identifiers

PMID42136656
PMCPMC13168143

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.