Evidence map›Paper›PMID 35406661›Full record

ArticleCells2022

Comprehensive Gene Expression Analysis to Identify Differences and Similarities between Sex- and Stage-Stratified Melanoma Samples.

Eirini Chrysanthou, Emir Sehovic, Paola Ostano, Giovanna Chiorino

Abstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Sex disparities in melanoma stage, recurrence and mortality: A Danish cohort study, 2004 to 2024.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
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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

4 authors.

Eirini ChrysanthouDepartment of Life Sciences and Systems Biology, University of Turin, 10100 Turin, Italy.ORCID 0000-0002-9870-5011
Emir SehovicDepartment of Life Sciences and Systems Biology, University of Turin, 10100 Turin, Italy.ORCID 0000-0003-3375-0441
Paola OstanoCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy.ORCID 0000-0002-4000-2954
Giovanna ChiorinoCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy.ORCID 0000-0002-9502-6400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overall lower incidence and better prognosis are observed in female melanoma patients compared to males. As sex and stage differences in the context of melanoma gene expression are understudied, we aim to highlight them through statistical analysis of melanoma gene expression datasets. Data from seven online datasets, including normal skin, commonly acquired nevi, and melanomas, were collected and analyzed. Sex/stage-related differences were assessed using statistical analyses on survival, gene expression, and its variability. Significantly better overall survival in females was observed in stage I, II but not in stage III. Gene expression variability was significantly different between stages and sexes. Specifically, we observed a significantly lower variability in genes expressed in normal skin and nevi in females compared to males, as well as in female stage I, II melanomas. However, in stage III, variability was lower in males. Similarly, class comparison showed that the gene expression differences between sexes are most notable in non-melanoma followed by early-stage-melanoma samples. Sexual dimorphism is an important aspect to consider for a holistic understanding of early-stage melanomas, not only from the tumor characteristics but also from the gene expression points of view.

Indexed as

MelanomaNevusSkin NeoplasmsFemaleGene ExpressionHumansIncidenceMalegene expressionmelanomasexual dimorphismtumor stage

Identifiers

PMID35406661
PMCPMC8997401

What OpenQuestion holds

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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 OpenQuestion graph.