Evidence map›Paper›PMID 40804405›Full record

ArticleJournal of translational medicine2025

Development of an innovative duplex digital PCR assay for circulating MiRNA ratio quantification in metastatic melanoma.

Alex De Gregorio, Andrea Sacconi, Chiara Mandoj, Fabio Valenti, Valentina De Pascale, Gabriele Madonna, Mariaelena Capone, Teresa Meinardi, Francesca Guerresi, Irene Terrenato and 9 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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

19 authors.

Alex De GregorioSAFU Laboratory, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Andrea SacconiUOSD Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Chiara MandojClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Fabio ValentiOncogenomic and Epigenetic Unit, Department of Diagnostic Research and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Valentina De PascaleOncogenomic and Epigenetic Unit, Department of Diagnostic Research and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Gabriele MadonnaUnit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
Mariaelena CaponeUnit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
Teresa MeinardiUnit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
Francesca GuerresiUnit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
Irene TerrenatoUOSD Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Giovanni CiglianaClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Michelangelo RussilloSarcomas and Rare Tumors Departmental Unit, IRCCS Istituto Nazionale Tumori Regina Elena, 00144, Rome, Italy.
Virginia FerraresiSarcomas and Rare Tumors Departmental Unit, IRCCS Istituto Nazionale Tumori Regina Elena, 00144, Rome, Italy.
Maurizio FanciulliSAFU Laboratory, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Giovanni BlandinoOncogenomic and Epigenetic Unit, Department of Diagnostic Research and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Paolo Antonio AsciertoUnit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
Gennaro CilibertoIRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Rita ManciniDepartment of Clinical and Molecular Medicine, University of Rome "Sapienza", 00161, Rome, Italy. rita.mancini@uniroma1.it.
Luigi FattoreDepartment of Life Health Sciences and Health Professions, Link Campus University, 00165, Rome, Italy.

Funding

Associazione Italiana per la Ricerca sul Cancro IG24451Lazio Innova A0613-2023-078139Ministero della Salute PNC-E3-2022-23683266Ministero della Salute Ricerca Corrente 2022-2024Ministero dell'Istruzione, dell'Università e della Ricerca MUR-PNRR M4C2I1.3 PE6 project PE00000019Ministero dello Sviluppo Economico BIOMINDMinistero dello Sviluppo Economico SPID
6 · The paper itself

Abstract

backgroundCirculating miRNAs (cmiRNAs) are emerging as valuable non-invasive biomarkers for monitoring disease progression and therapeutic response in cancer. Their stability in biological fluids, tissue-specific expression, and functional roles in tumor biology make them particularly suitable for liquid biopsy approaches. However, challenges related to quantification accuracy and assay standardization have limited their clinical translation. Digital PCR (dPCR) offers a highly sensitive and reproducible solution for absolute quantification of low-abundance transcripts, addressing many of these limitations.

methodsWe developed and analytically validated the first duplex dPCR assay for the simultaneous detection of miR-4488 and miR-579-3p in serum samples from patients with BRAF-mutant metastatic melanoma receiving MAPK inhibitor therapy. These two cmiRNAs were previously identified by our group as biomarkers predictive of treatment response. Using fluorescently labelled probes, both targets were co-amplified in a single reaction. The assay was tested for analytical performance, including comparison with singleplex formats and quantitative Real-Time PCR (qRT-PCR). We then applied the duplex assay to assess the prognostic potential of the expression ratio between the two miRNAs, termed miRatio, at baseline and over treatment timepoints.

resultsThe duplex assay maintained analytical performance comparable to singleplex reactions while reducing sample and reagent use. Compared to qRT-PCR, dPCR showed superior sensitivity, particularly for detecting low-abundance miRNAs like miR-4488. miRatio effectively predicts disease outcome when measured at baseline prior to MAPKi therapy and exhibits dynamic changes during treatment, supporting its potential as a longitudinal biomarker. ROC analysis demonstrated strong prognostic value, with improved accuracy over previous qRT-PCR-based evaluations.

conclusionsThis study highlights duplex dPCR as a robust, sensitive, and scalable technology for circulating miRNA quantification in liquid biopsy applications. By enabling absolute and simultaneous detection of miR-4488 and miR-579-3p, the assay provides a technically advanced platform for real-time monitoring in metastatic melanoma. While miRatio remains a promising biomarker, the key innovation of this work is the development of a duplex assay suitable for clinical implementation in precision oncology.

Indexed as

Circulating MicroRNAMelanomaMicroRNAsPolymerase Chain ReactionBiomarkers, TumorFemaleHumansLiquid BiopsyMaleNeoplasm MetastasisReal-Time Polymerase Chain ReactionReproducibility of ResultsROC CurveBiomarkers, TumorCirculating MicroRNAMicroRNAsCirculating MiRNAsDigital PCRDuplex assayLiquid biopsyMetastatic melanoma

Identifiers

PMID40804405
PMCPMC12351995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.