Evidence map›Paper›PMID 38548846›Full record

ArticleNPJ precision oncology2024

A multiparameter liquid biopsy approach allows to track melanoma dynamics and identify early treatment resistance.

Maria Chiara Scaini, Cristina Catoni, Cristina Poggiana, Jacopo Pigozzo, Luisa Piccin, Kevin Leone, Ilaria Scarabello, Antonella Facchinetti, Chiara Menin, Lisa Elefanti and 7 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 17 citations in OpenAlex.

  1. Liquid biopsy in modern medicine: advancing diagnostics from molecular insights to clinical practice.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  3. Circulating Tumor DNA as a Biomarker for Melanoma Prognosis and Therapy.American journal of clinical dermatology · 2026
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  14. Prognostic Biomarkers in Evolving Melanoma Immunotherapy.American journal of clinical dermatology · 2025
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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

17 authors at 2 institutions in 1 country.

Maria Chiara Scaini *Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy. mariachiara.scaini@iov.veneto.it.ORCID http://orcid.org/0000-0002-9583-3034
Cristina Catoni *Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0003-3214-9056
Cristina PoggianaImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy. cristina.poggiana@iov.veneto.it.ORCID http://orcid.org/0000-0003-1366-110X
Jacopo PigozzoMedical Oncology 2, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Luisa PiccinMedical Oncology 2, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Kevin LeoneImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Ilaria ScarabelloImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Antonella FacchinettiImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0002-5628-5899
Chiara MeninImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Lisa ElefantiImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Stefania PellegriniImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0001-5198-5901
Valentina AleottiImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0002-4797-6196
Riccardo VidottoImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Francesca SchiaviFamilial Cancer Clinic, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.ORCID http://orcid.org/0000-0001-8529-4455
Alessio FabozziOncology Unit 3, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Vanna Chiarion-SileniMedical Oncology 2, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Antonio RosatoImmunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
Istituto Oncologico Veneto · ITUniversity of Padua · IT

Funding

Istituto Oncologico Veneto (Veneto Institute of Oncology) 5×1000 2018 Cancerplat-2Istituto Oncologico Veneto (Veneto Institute of Oncology) 5×1000 2018 Cancerplat-2 P23 Liquid biopsy in melanomaMinistero della Salute (Ministry of Health, Italy) GR-2016-02361019
6 · The paper itself

Abstract

Melanoma heterogeneity is a hurdle in metastatic disease management. Although the advent of targeted therapy has significantly improved patient outcomes, the occurrence of resistance makes monitoring of the tumor genetic landscape mandatory. Liquid biopsy could represent an important biomarker for the real-time tracing of disease evolution. Thus, we aimed to correlate liquid biopsy dynamics with treatment response and progression by devising a multiplatform approach applied to longitudinal melanoma patient monitoring. We conceived an approach that exploits Next Generation Sequencing (NGS) and droplet digital PCR, as well as the FDA-cleared platform CellSearch, to analyze circulating tumor DNA (ctDNA) trend and circulating melanoma cell (CMC) count, together with their customized genetic and copy number variation analysis. The approach was applied to 17 stage IV melanoma patients treated with BRAF/MEK inhibitors, followed for up to 28 months. BRAF mutations were detected in the plasma of 82% of patients. Single nucleotide variants known or suspected to confer resistance were identified in 70% of patients. Moreover, the amount of ctDNA, both at baseline and during response, correlated with the type and duration of the response itself, and the CMC count was confirmed to be a prognostic biomarker. This work provides proof of principle of the power of this approach and paves the way for a validation study aimed at evaluating early ctDNA-guided treatment decisions in stage IV melanoma. The NGS-based molecular profile complemented the analysis of ctDNA trend and, together with CMC analysis, revealed to be useful in capturing tumor evolution.

Identifiers

PMID38548846
PMCPMC10978909
OpenAlexW4393278946

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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.