Evidence map›Paper›PMID 40764735›Full record

ArticleScientific reports2025

Vibrational spectroscopy unveils distinct cell cycle features of cancer stem cells in melanoma.

Bensu Rüya Uslu, Berrin Ozdil, Enver Tarhan, Serdar Özçelik, Hüseyin Aktuğ, Günnur Güler

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Bensu Rüya UsluDepartment of Physics, Faculty of Science, İzmir Institute of Technology, 35433, İzmir, Türkiye.ORCID http://orcid.org/0009-0000-4946-2386
Berrin OzdilDepartment of Physics, Faculty of Science, İzmir Institute of Technology, 35433, İzmir, Türkiye.ORCID http://orcid.org/0000-0001-6081-2308
Enver TarhanDepartment of Physics, Faculty of Science, İzmir Institute of Technology, 35433, İzmir, Türkiye.ORCID http://orcid.org/0000-0003-3167-3956
Serdar ÖzçelikDepartment of Chemistry, Faculty of Science, İzmir Institute of Technology, 35433, İzmir, Türkiye.ORCID http://orcid.org/0000-0003-2029-0108
Hüseyin AktuğFaculty of Medicine, Department of Histology and Embryology, Ege University, 35100, İzmir, Türkiye.ORCID http://orcid.org/0000-0003-4150-8495
Günnur GülerDepartment of Physics, Faculty of Science, İzmir Institute of Technology, 35433, İzmir, Türkiye. gunnurguler@iyte.edu.tr.ORCID http://orcid.org/0000-0002-8485-7372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) play a central role in melanoma growth, resistance to treatment, and relapse, however, their dynamic regulatory behavior remains poorly understood. Vibrational spectroscopy offers a unique, label-free approach to investigate cellular heterogeneity at the molecular level. Here, we explored the biochemical and regulatory dynamics of CSCs identified by using a time-course design, integrating infrared and Raman spectroscopies with cell cycle analysis and immunocytochemistry targeting the checkpoint proteins p16 and p21. CSCs, non-cancer stem cells (NCSCs), and bulk CHL-1 melanoma cells were monitored at 11, 24, 48, and 72 h. CSCs showed a steady S-phase with an early rise in p16 followed by a subsequent increase in p21 expression, indicating a dynamic state of cell cycle checkpoints. In contrast, NCSCs and CHL-1 cells showed more transient p16/p21 expression and CHL-1 exhibited a marked p16 increase at 24 h. Spectroscopic analysis revealed that CSCs exhibited distinct vibrational profiles, predominantly in the nucleic acid-, protein- and lipid-associated regions. These differences were further supported by principal component and hierarchical clustering analyses, which consistently distinguished CSCs from NCSCs. Our findings underline the potential of vibrational spectroscopy to sensitively detect CSC-specific regulatory patterns and support its use in detecting new therapeutic targets in melanoma.

Indexed as

Cell CycleMelanomaNeoplastic Stem CellsCell Line, TumorCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21HumansSpectrum Analysis, RamanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21Cancer stem cellsCell cycleInfrared spectroscopy, raman spectroscopyMalignant melanomaMultivariate analysis

Identifiers

PMID40764735
PMCPMC12325917

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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.