Evidence map›Paper›PMID 42449548›Full record

ArticlePigment cell & melanoma research2026

Characterizing the Mutational Landscape of In-Transit Melanoma Metastases.

Luisa Quesada Camacho, Mohamad El Moheb, Mackenzie M Mayhew, Margaret G Mercante, Emily G Tocco, Nidhi Kuchimanchi, Susan J Kim, Kaelyn C Cummins, Lynn T Dengel, Allan Tsung and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pigment cell & melanoma research, 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

13 authors.

Luisa Quesada CamachoDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Mohamad El MohebDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Mackenzie M MayhewDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0009-0003-9907-8923
Margaret G MercanteDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Emily G ToccoDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Nidhi KuchimanchiDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0009-0004-1274-1399
Susan J KimDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Kaelyn C CumminsDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0009-0006-6962-9802
Lynn T DengelDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Allan TsungDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Craig L SlingluffDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Mohammad Fallahi-SichaniDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Russell G WittDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
Linking Genetic, Epigenetic and Signaling Mechanisms of Oncogene AddictionR01CA249229 · NCI · UNIVERSITY OF VIRGINIA · PI Mohammad Fallahi-Sichani · 2021 to 2026
$1.8M
Investigating the Impact of Obesity and Androgen Receptor Signaling on BRAF/MEKi Resistance in MelanomaK08CA301024 · NCI · UNIVERSITY OF VIRGINIA · PI Russell Gardner Witt · 2026 to 2026
$291k
NCATS NIH HHS KL2 TR003016NCATS NIH HHS KL2TR003016NCATS NIH HHS UL1 TR003015NCATS NIH HHS UL1TR003015NCI NIH HHS CCSG P30CA044579-32NCI NIH HHS K08 CA301024NCI NIH HHS P30 CA044579NCI NIH HHS R01 CA249229NCI NIH HHS T32 CA163177NIH HHS R01-CA249229
6 · The paper itself

Abstract

In-transit melanoma (ITM) is a unique presentation of metastatic cutaneous melanoma associated with therapeutic challenges. Despite its clinical importance, the molecular drivers of ITM remain poorly defined. We aimed to characterize the mutational landscape of ITM and identify genetic alterations distinguishing it from other melanoma metastases. Tumor samples from 528 patients in the MSK-IMPACT dataset, comprised of over 300 cancer-related genes, were analyzed. Samples were classified as primary, in-transit, regional lymph node, or distant metastases. Driver mutation frequencies were compared across groups, and mutual information (MI) and principal component analysis (PCA) were used to identify ITM-associated genes and mutation patterns. NRAS Q61 mutations were enriched in ITM compared with other melanoma sites, while NF1 mutations were less common. Exploratory MI, PCA, and pairwise analyses identified recurrent NRAS

Indexed as

MelanomaMutationSkin NeoplasmsGTP PhosphohydrolasesHumansMembrane ProteinsNeoplasm MetastasisPrincipal Component AnalysisGTP PhosphohydrolasesMembrane ProteinsNRAS protein, humancutaneous melanomagenomic profilingin‐transit melanomamelanoma metastasesmutational landscape

Identifiers

PMID42449548
PMCPMC13369827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.