Evidence map›Paper›PMID 36293148›Full record

ArticleInternational journal of molecular sciences2022

Neutrophil Gelatinase-Associated Lipocalin as Potential Predictive Biomarker of Melanoma and Non-Melanoma Skin Cancers in Psoriatic Patients: A Pilot Study.

Alice Verdelli, Marzia Caproni, Alessio Coi, Alberto Corrà, Donatella Degl'Innocenti, Marzia Vasarri, Lavinia Quintarelli, Valter Volpi, Emanuele Maria Cipollini, Emanuela Barletta

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Evaluation of the serum level of Lipocalin 2 in vitiligo.Archives of dermatological research · 2025
    Article
  2. Marine drugs · 2024
    Article
  3. 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

10 authors at 3 institutions in 1 country.

Alice VerdelliDepartment of Health Sciences, Section of Dermatology, Rare Dermatological Unit, Azienda USL Toscana Centro, University of Florence, 50125 Florence, Italy.ORCID 0000-0003-1982-888X
Marzia CaproniDepartment of Health Sciences, Section of Dermatology, Rare Dermatological Unit, Azienda USL Toscana Centro, University of Florence, 50125 Florence, Italy.
Alessio CoiUnit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, 56127 Pisa, Italy.ORCID 0000-0002-9816-3144
Alberto CorràDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0000-0003-0903-4998
Donatella Degl'InnocentiDepartment of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134 Florence, Italy.ORCID 0000-0002-3342-5537
Marzia VasarriDepartment of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134 Florence, Italy.ORCID 0000-0002-4241-3992
Lavinia QuintarelliDepartment of Health Sciences, Section of Dermatology, Rare Dermatological Unit, Azienda USL Toscana Centro, University of Florence, 50125 Florence, Italy.
Valter VolpiDepartment of Health Sciences, Section of Dermatology, Rare Dermatological Unit, Azienda USL Toscana Centro, University of Florence, 50125 Florence, Italy.
Emanuele Maria CipolliniDepartment of Health Sciences, Section of Dermatology, Rare Dermatological Unit, Azienda USL Toscana Centro, University of Florence, 50125 Florence, Italy.
Emanuela BarlettaDepartment of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134 Florence, Italy.ORCID 0000-0001-7493-1498
Azienda Usl Toscana Centro · ITUniversity of Florence · ITIstituto di Fisiologia Clinica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies have demonstrated a higher risk of nonmelanoma skin cancers (NMSC) and a modestly increased melanoma risk in patients with psoriasis. To date, no biomarkers predictive of evolution have been identified yet. Methods: The aim of this prospective case-control study was to investigate the potential role of neutrophil gelatinase-associated lipocalin (NGAL) as a predictive biomarker of skin cancers in psoriatic patients. Patients with a diagnosis of psoriasis were enrolled, as well as healthy subjects and patients with skin cancers as controls. Plasma protein expression of NGAL, metalloproteinases (MMP)-2, and MMP-9 was performed by an enzyme-linked immunosorbent assay (ELISA). In all the patients who developed skin cancer at follow-up, NGAL, MMP-2, and MMP-9 serum levels were dosed again. Results: Plasma NGAL levels were significantly higher in psoriatic patients with NMSC than without (182.3 ± 36.6 ng/mL vs. 139.9 ± 39.3 ng/mL) (p < 0.001). Plasma NGAL levels were significantly higher (p < 0.00001) in patients with psoriasis and NMSC than in patients with skin tumors without psoriasis (182.3 vs. 122.9). Patients with psoriasis who developed NMSC at follow-up showed increased plasma MMP-9 levels. Conclusion: NGAL seems to play a role in the pathogenesis of NMSC but not melanoma in patients with psoriasis.

Indexed as

PsoriasisSkin NeoplasmsBiomarkersCase-Control StudiesHumansLipocalin-2LipocalinsMatrix Metalloproteinase 2Matrix Metalloproteinase 9Pilot ProjectsBiomarkersLipocalin-2LipocalinsMatrix Metalloproteinase 2Matrix Metalloproteinase 9biomarkershuman neutrophil gelatinase-associated lipocalinlipocalinmelanomanon-melanoma skin cancerspsoriasisskin cancers

Identifiers

PMID36293148
PMCPMC9603947
OpenAlexW4306385729

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.