Evidence map›Paper›PMID 42050146›Full record

ReviewCommunications biology2026

Plasticity, signaling, and metabolic rewiring in melanoma persister cells.

Shayne Sensenbach, Han G Ngo, Mehmet A Orman

Abstract readReview
In one paragraph

Review in Communications 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

3 authors.

Shayne SensenbachDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0003-4955-9596
Han G NgoDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.
Mehmet A OrmanDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA. maorman@wisc.edu.ORCID http://orcid.org/0000-0001-8499-9154

Funding

Unraveling the Connection: How Metabolism Shapes Mammalian Persister SurvivalR01CA288236 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Mehmet A. Orman · 2025 to 2026
$787k
U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA288236
6 · The paper itself

Abstract

Despite advances in therapy, survival rates for metastatic melanoma remain low. Drug-tolerant persister cells (persisters) can facilitate cancer recurrence, yet their characteristics and vulnerabilities differ across cancers and even within melanoma, depending on mutational context and treatment strategy. Both preexisting phenotypic traits and drug-induced adaptations contribute to persister formation, linked by "primed" persisters that exhibit intermediate states observed in multiple studies. Compared with parental melanoma cells and other phenotypic variants such as melanoma stem cells or senescent cells, persisters show altered and reversible differentiation programs, distinct metabolic adaptations, and rewired signaling networks, all affected by the tumor microenvironment, but remain poorly understood. This review focuses on melanoma persisters, highlighting advances in understanding their origins, signaling plasticity, metabolic rewiring, and therapeutic vulnerabilities. By identifying gaps, this review further provides much-needed recommendations for future research and outlines priorities for advancing persister-directed interventions toward clinical translation.

Indexed as

Cell PlasticityMelanomaSignal TransductionAnimalsAntineoplastic AgentsDrug Resistance, NeoplasmHumansMetabolic ReprogrammingTumor MicroenvironmentAntineoplastic Agents

Identifiers

PMID42050146
PMCPMC13125246

What Socratic 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 Socratic graph.