Evidence map›Paper›PMID 38982214›Full record

ArticleScientific reports2024

Novel liquid biopsy CNV biomarkers in malignant melanoma.

E Lukacova, Z Hanzlikova, P Podlesnyi, T Sedlackova, T Szemes, M Grendar, M Samec, T Hurtova, B Malicherova, K Leskova and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Advances in Melanoma and Skin Cancers.International journal of molecular sciences · 2025
    Article
  6. Article
  7. 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

12 authors.

E LukacovaDepartment of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.
Z HanzlikovaGeneton Ltd., Bratislava, Slovakia.
P PodlesnyiInstituto de Investigaciones Biomedicas de Barcelona (IIBB), CSIC /Centro Investigacion Biomedica en Red Enfermedades Neurodegenerativas (CiberNed), Barcelona, Spain.
T SedlackovaGeneton Ltd., Bratislava, Slovakia.
T SzemesGeneton Ltd., Bratislava, Slovakia.
M GrendarLaboratory of Bioinformatics and Biostatistics, Biomedical Center Martin, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.
M SamecDepartment of Medical Biology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
T HurtovaDepartment of Dermatovenereology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
B MalicherovaDepartment of Clinical Biochemistry, University Hospital in Martin and Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia.
K LeskovaDepartment of Pathological Anatomy, Jessenius Faculty of Medicine and University Hospital in Martin, Comenius University, Martin, Slovakia.
J BudisGeneton Ltd., Bratislava, Slovakia.
T BurjanivovaDepartment of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia. BTatiana@seznam.cz.

Funding

The Ministry of Education, Research, Development and Youth of the Slovak Republic VEGA grant 1/0205/20
6 · The paper itself

Abstract

Malignant melanoma (MM) is known for its abundance of genetic alterations and a tendency for rapid metastasizing. Identification of novel plasma biomarkers may enhance non-invasive diagnostics and disease monitoring. Initially, we examined copy number variations (CNV) in CDK genes (CDKN2A, CDKN2B, CDK4) using MLPA (gDNA) and ddPCR (ctDNA) analysis. Subsequently, low-coverage whole genome sequencing (lcWGS) was used to identify the most common CNV in plasma samples, followed by ddPCR verification of chosen biomarkers. CNV alterations in CDK genes were identified in 33.3% of FFPE samples (Clark IV, V only). Detection of the same genes in MM plasma showed no significance, neither compared to healthy plasmas nor between pre- versus post-surgery plasma. Sequencing data showed the most common CNV occurring in 6q27, 4p16.1, 10p15.3, 10q22.3, 13q34, 18q23, 20q11.21-q13.12 and 22q13.33. CNV in four chosen genes (KIF25, E2F1, DIP2C and TFG) were verified by ddPCR using 2 models of interpretation. Model 1 was concordant with lcWGS results in 54% of samples, for model 2 it was 46%. Although CDK genes have not been proven to be suitable CNV liquid biopsy biomarkers, lcWGS defined the most frequently affected chromosomal regions by CNV. Among chosen genes, DIP2C demonstrated a potential for further analysis.

Indexed as

Cyclin-Dependent KinasesMelanomaNeoplasm MetastasisAdultAgedAged, 80 and overBiomarkers, TumorDNA Copy Number VariationsHumansLiquid BiopsyMaleMiddle AgedPolymerase Chain ReactionWhole Genome SequencingBiomarkers, TumorCyclin-Dependent KinasesBiomarkerctDNAddPCRlcWGSLiquid biopsyMelanoma

Identifiers

PMID38982214
PMCPMC11233564

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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.