Evidence map›Paper›PMID 38996022›Full record

ArticleScience advances2024

Melanoma progression and prognostic models drawn from single-cell, spatial maps of benign and malignant tumors.

Nick R Love, Claire Williams, Emily E Killingbeck, Alexander Merleev, Mohammad Saffari Doost, Lan Yu, John D McPherson, Hidetoshi Mori, Alexander D Borowsky, Emanual Maverakis and 1 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

11 authors.

Nick R LoveDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0003-4559-1409
Claire WilliamsNanoString Technologies, a Bruker Company, Seattle, WA 98109, USA.ORCID 0000-0001-5467-149X
Emily E KillingbeckNanoString Technologies, a Bruker Company, Seattle, WA 98109, USA.ORCID 0000-0002-5108-5089
Alexander MerleevDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0002-5735-7233
Mohammad Saffari DoostDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0001-9236-3957
Lan YuDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.
John D McPhersonDepartment of Biochemistry and Molecular Medicine, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0001-8049-9347
Hidetoshi MoriDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0002-5950-281X
Alexander D BorowskyDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0003-3117-9202
Emanual MaverakisDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0002-6294-6294
Maija KiuruDepartment of Dermatology, University of California, Davis, Sacramento, CA 95816, USA.ORCID 0000-0002-7010-5516

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Molecular basis of melanocytic neviK23AR074530 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KIURU, MAIJA HELENA TUULIA · 2019 to 2023
$840k
Spatial Profiling of Melanocytic Tumors and Their MicroenvironmentR03CA277645 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KIURU, MAIJA HELENA TUULIA · 2023 to 2024
$161k
NCI NIH HHS P30 CA093373NCI NIH HHS R03 CA277645NIAMS NIH HHS K23 AR074530
6 · The paper itself

Abstract

Melanoma clinical outcomes emerge from incompletely understood genetic mechanisms operating within the tumor and its microenvironment. Here, we used single-cell RNA-based spatial molecular imaging (RNA-SMI) in patient-derived archival tumors to reveal clinically relevant markers of malignancy progression and prognosis. We examined spatial gene expression of 203,472 cells inside benign and malignant melanocytic neoplasms, including melanocytic nevi and primary invasive and metastatic melanomas. Algorithmic cell clustering paired with intratumoral comparative two-dimensional analyses visualized synergistic, spatial gene signatures linking cellular proliferation, metabolism, and malignancy, validated by protein expression. Metastatic niches included up-regulation of

Indexed as

Disease ProgressionGene Expression Regulation, NeoplasticMelanomaSingle-Cell AnalysisBiomarkers, TumorCyclin-Dependent Kinase 2Fatty Acid-Binding ProteinsFemaleGene Expression ProfilingHumansMalePrognosisSkin NeoplasmsTumor MicroenvironmentBiomarkers, TumorCDK2 protein, humanCyclin-Dependent Kinase 2Fatty Acid-Binding Proteins

Identifiers

PMID38996022
PMCPMC11244543

What Socratic 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 Socratic graph.