Evidence map›Paper›PMID 38791877›Full record

ArticleCancers2024

Gene Expression Profile of Benign, Intermediate, and Malignant Spitz and Spitzoid Melanocytic Lesions.

Alessio Giubellino, Yuyu He, Sarah A Munro, Yan Zhou, Kyu Young Song, Jose A Plaza, Carlos A Torres-Cabala, Andrew C Nelson

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Gene fusions in melanocytic lesions: an updated comprehensive review.Journal of pathology and translational medicine · 2026
    Article
  3. Article
  4. Review
  5. 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

8 authors.

Alessio GiubellinoDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-5352-0662
Yuyu HeDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.
Sarah A MunroMinnesota Supercomputing Institute, Minneapolis, MN 55455, USA.
Yan ZhouDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-9867-5828
Kyu Young SongDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-7313-514X
Jose A PlazaDepartment of Pathology, The Ohio State University Wexner Medical Center (OOSUWMC), Columbus, OH 43210, USA.
Carlos A Torres-CabalaThe University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-7422-0661
Andrew C NelsonDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-4741-0010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spitz and Spitzoid lesions represent one of the most challenging melanocytic neoplasms in dermatopathology. Nosologic classification has been more recently improved by the discovery of novel molecular drivers, particularly translocations. In the current study, we aimed to use an unbiased approach to explore the gene expression profile of a group of melanocytic Spitz and Spitzoid melanocytic lesions ranging from benign lesions to melanoma, including intermediate lesions such as SPARK nevi and atypical Spitz tumors/melanocytomas. Using unsupervised analysis of gene expression data, we found some distinct hierarchical clusters of lesions, including groups characterized by

Indexed as

melanomanevusRNA-sequencingSpitzSpitzoid

Identifiers

PMID38791877
PMCPMC11119593

What OpenQuestion 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 OpenQuestion graph.