Evidence map›Paper›PMID 36676129›Full record

ArticleLife (Basel, Switzerland)2023

Primary and Metastatic Cutaneous Melanomas Discriminately Enrich Several Ligand-Receptor Interactions.

Michael J Diaz, Angela Fadil, Jasmine T Tran, Sai Batchu, Kevin T Root, Andrew X Tran, Brandon Lucke-Wold

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Michael J DiazCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.
Angela FadilCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0001-7237-3736
Jasmine T TranSchool of Medicine, University of Indiana, Indianapolis, IN 46202, USA.
Sai BatchuCooper Medical School, Rowan University, Camden, NJ 08103, USA.
Kevin T RootCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0003-4903-3674
Andrew X TranDepartment of Dermatology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Brandon Lucke-WoldDepartment of Neurosurgery, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-6577-4080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCutaneous melanoma remains a leading cancer with sobering post-metastasis mortality rates. To date, the ligand-receptor interactome of melanomas remains weakly studied despite applicability to anti-cancer drug discovery. Here we leverage established crosstalk methodologies to characterize important ligand-receptor pairs in primary and metastatic cutaneous melanoma.

methodsBulk transcriptomic data, representing 470 cutaneous melanoma samples, was retrieved from the Broad Genome Data Analysis Center Firehose portal. Tumor and stroma compartments were computationally derived as a function of tumor purity estimates. Identification of preferential ligand-receptor interactions was achieved by relative crosstalk scoring of 1380 previously established pairs.

resultsMetastatic cutaneous melanoma uniquely enriched PTH2-PTH1R for tumor-to-stroma signaling. The Human R-spondin ligand family was involved in 4 of the 15 top-scoring stroma-to-tumor interactions. Receptor ACVR2B was involved in 3 of the 15 top-scoring tumor-to-tumor interactions.

conclusionsNumerous gene-level differences in ligand-receptor crosstalk between primary and metastatic cutaneous melanomas. Further investigation of notable pairings is warranted.

Indexed as

cutaneous melanomainteractomeligand-receptoromicstranscriptome

Identifiers

PMID36676129
PMCPMC9865490

What Socratic holds

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LicenceCC BY
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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 Socratic graph.