Evidence map›Paper›PMID 39062529›Full record

ArticleBiomolecules2024

Exploring the Surface: Sampling of Potential Skin Cancer Biomarkers Kynurenine and Tryptophan, Studied on 3D Melanocyte and Melanoma Models.

Sylwia Hasterok, Skaidre Jankovskaja, Ruzica Miletic Dahlström, Zdenka Prgomet, Lars Ohlsson, Sebastian Björklund, Anna Gustafsson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules, 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. Article
  2. Review
  3. Article
  4. Article
  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

7 authors.

Sylwia HasterokDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.ORCID 0009-0008-6154-0322
Skaidre JankovskajaDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.
Ruzica Miletic DahlströmDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.
Zdenka PrgometDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.
Lars OhlssonDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.
Sebastian BjörklundDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.ORCID 0000-0001-6254-8539
Anna GustafssonDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, 205 06 Malmo, Sweden.ORCID 0000-0001-9847-5132

Funding

THE KNOWLEDGE FOUNDATION (Stiftelsen för kunskaps- och kompetensutveckling; KK-stiftelsen) 20190010
6 · The paper itself

Abstract

Early detection of cancer via biomarkers is vital for improving patient survival rates. In the case of skin cancers, low-molecular-weight biomarkers can penetrate the skin barrier, enabling non-invasive sampling at an early stage. This study focuses on detecting tryptophan (Trp) and kynurenine (Kyn) on the surface of reconstructed 3D melanoma and melanocyte models. This is examined in connection with

Indexed as

Biomarkers, TumorIndoleamine-Pyrrole 2,3,-DioxygenaseInterleukin-6KynurenineMelanocytesMelanomaSkin NeoplasmsTryptophanCell Line, TumorHumansInterferon-gammaTumor MicroenvironmentUltraviolet RaysBiomarkers, TumorIDO1 protein, humanIL6 protein, humanIndoleamine-Pyrrole 2,3,-DioxygenaseInterferon-gammaInterleukin-6KynurenineTryptophanfull-thickness 3D skin modelsIDO-1IFN-γkynureninemelanomanon-invasive samplingskin cancer biomarkerstryptophanUVB

Identifiers

PMID39062529
PMCPMC11274760

What OpenQuestion holds

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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.