Evidence map›Paper›PMID 42779949›Full record

ArticlebioRxiv : the preprint server for biology2026

Melanoma evolution in the lymph node shapes systemic outcomes.

Katherine S Ventre, Tara Muijlwijk, Robert Stagnitta, Shi Qiu, Ze Chen, Irineu Illa Bochaca, Ata S Moshiri, Teresa Davoli, Iman Osman, Itai Yanai and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

12 authors.

Katherine S VentreThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0002-7675-7355
Tara MuijlwijkThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0003-3827-5694
Robert StagnittaThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.
Shi QiuThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.
Ze ChenDepartment of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, New York, USA 10016.
Irineu Illa BochacaThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0002-8039-565X
Ata S MoshiriThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0001-6684-4503
Teresa DavoliInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, New York, USA 10016.ORCID 0000-0003-4116-9745
Iman OsmanThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0002-1472-1971
Itai YanaiInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, New York, USA 10016.ORCID 0000-0002-8438-2741
Markus SchoberThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0002-9122-2121
Amanda W LundThe Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0001-7389-9983

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Project 3: The Evolving Role of Regional Lymph Nodes in Melanoma ProgressionU54CA263001 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Eva Hernando, Iman Osman · 2022 to 2026
$11.6M
The influence of lymph node metastasis on local and systemic anti-tumor immunityF30CA288142 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Katherine Ventre · 2024 to 2026
$127k
NCI NIH HHS F30 CA288142NCI NIH HHS P30 CA016087NCI NIH HHS U54 CA263001
6 · The paper itself

Abstract

Lymph node (LN) metastasis predicts poor patient outcomes, but the mechanistic drivers that shape metastatic fitness, immune evasion, and clinical impact remain elusive. While preclinical models indicate that active tumor adaptation is necessary for LN metastasis, observations of clonal heterogeneity in human tumors has supported a stochastic model of passive and continuous seeding. Reconciling LN metastasis as a passive or active process is essential to understanding if LN metastasis is simply a marker of disease progression or a clinically informative therapeutic target. Here, we report evidence that LNs are active niches that facilitate ongoing melanoma evolution to progressively subvert immune surveillance and enable progression. To construct a spatial trajectory of LN metastasis, we examined paired primary melanomas and metastatic sentinel LNs through integrated genomic, phenotypic, and immunologic analyses. In contrast to a model of continuous seeding, we observe that early dissemination from the primary tumor is followed by extensive intra-nodal diversification, indicating that metastatic outgrowth requires ongoing adaptation within the LN. As clones evolve in the LN, they re-differentiate towards a melanocytic state and reprogram the microenvironment for immune exclusion. In further evolved clones, loss of inflammatory interferon signaling and induction of p53 and mitochondrial stress are associated with decreased overall survival. Collectively, these results implicate the LN as a critical battleground for melanoma progression, where tumor evolution drives adaptation and immune escape to biologically link regional metastasis to patient survival.

Indexed as

aneuploidychromosomal instabilityimmune evasionintratumoral heterogeneitylymph node metastasismelanomaneural cresttumor evolution

Identifiers

PMID42779949
PMCPMC13596397

What Socratic holds

Textmetadata
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 Socratic graph.