Evidence map›Paper›PMID 38673837›Full record

ArticleInternational journal of molecular sciences2024

Identification of Plasma Lipid Alterations Associated with Melanoma Metastasis.

István Szász, Viktória Koroknai, Tünde Várvölgyi, László Pál, Sándor Szűcs, Péter Pikó, Gabriella Emri, Eszter Janka, Imre Lőrinc Szabó, Róza Ádány and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

István SzászHUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Viktória KoroknaiDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Tünde VárvölgyiDepartment of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
László PálDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Sándor SzűcsDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.ORCID 0000-0003-4672-4066
Péter PikóDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.ORCID 0000-0001-5539-907X
Gabriella EmriDepartment of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Eszter JankaDepartment of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Imre Lőrinc SzabóDepartment of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Róza ÁdányHUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Margit BalázsHUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.ORCID 0000-0002-4246-2321
University of Debrecen · HU

Funding

European Regional Development Fund GINOP-2.3.2-15-2016-00005Hungarian Research Network TKCS-2021/32National Research Development and Innovation Fund K-135752ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund ÚNKP-23-4-II-DE-229 and ÚNKP-23-4-II-DE-283
6 · The paper itself

Abstract

The aim of this study was to apply a state-of-the-art quantitative lipidomic profiling platform to uncover lipid alterations predictive of melanoma progression. Our study included 151 melanoma patients; of these, 83 were without metastasis and 68 with metastases. Plasma samples were analyzed using a targeted Lipidyzer™ platform, covering 13 lipid classes and over 1100 lipid species. Following quality control filters, 802 lipid species were included in the subsequent analyses. Total plasma lipid contents were significantly reduced in patients with metastasis. Specifically, levels of two out of the thirteen lipid classes (free fatty acids (FFAs) and lactosylceramides (LCERs)) were significantly decreased in patients with metastasis. Three lipids (CE(12:0), FFA(24:1), and TAG47:2-FA16:1) were identified as more effective predictors of melanoma metastasis than the well-known markers LDH and S100B. Furthermore, the predictive value substantially improved upon combining the lipid markers. We observed an increase in the cumulative levels of five lysophosphatidylcholines (LPC(16:0); LPC(18:0); LPC(18:1); LPC(18:2); LPC(20:4)), each individually associated with an elevated risk of lymph node metastasis but not cutaneous or distant metastasis. Additionally, seventeen lipid molecules were linked to patient survival, four of which (CE(12:0), CE(14:0), CE(15:0), SM(14:0)) overlapped with the lipid panel predicting metastasis. This study represents the first comprehensive investigation of the plasma lipidome of melanoma patients to date. Our findings suggest that plasma lipid profiles may serve as important biomarkers for predicting clinical outcomes of melanoma patients, including the presence of metastasis, and may also serve as indicators of patient survival.

Indexed as

LipidomicsLipidsMelanomaAdultAgedBiomarkers, TumorFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm MetastasisSkin NeoplasmsBiomarkers, TumorLipidsbiomarkerslipidyzer platformmelanomametastasisplasma lipid profile

Identifiers

PMID38673837
PMCPMC11050015
OpenAlexW4394755600

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.