Evidence map›Paper›PMID 38787133›Full record

ArticleToxics2024

Machine Learning Model for Prediction of Development of Cancer Stem Cell Subpopulation in Tumurs Subjected to Polystyrene Nanoparticles.

Amra Ramović Hamzagić, Marina Gazdić Janković, Danijela Cvetković, Dalibor Nikolić, Sandra Nikolić, Nevena Milivojević Dimitrijević, Nikolina Kastratović, Marko Živanović, Marina Miletić Kovačević, Biljana Ljujić

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026
    Review
  4. Review
  5. Review
  6. 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.

Amra Ramović HamzagićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.
Marina Gazdić JankovićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.ORCID 0000-0001-8151-9004
Danijela CvetkovićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.ORCID 0000-0001-7767-1345
Dalibor NikolićInstitute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.ORCID 0000-0001-5491-4586
Sandra NikolićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.
Nevena Milivojević DimitrijevićInstitute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.
Nikolina KastratovićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.ORCID 0000-0002-7238-7414
Marko ŽivanovićInstitute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.ORCID 0000-0002-8833-8035
Marina Miletić KovačevićDepartment of Histology and Embryology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.ORCID 0000-0002-5177-1521
Biljana LjujićDepartment of Genetics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia.

Funding

Junior projects of Faculty of Medical Sciences, University of Kragujevac JP 05/20Junior projects of Faculty of Medical Sciences, University of Kragujevac JP 06/20Junior projects of Faculty of Medical Sciences, University of Kragujevac JP 24/20Junior projects of Faculty of Medical Sciences, University of Kragujevac JP 25/19Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-65/2024-03/200111Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-66/2024-03/200378
6 · The paper itself

Abstract

Cancer stem cells (CSCs) play a key role in tumor progression, as they are often responsible for drug resistance and metastasis. Environmental pollution with polystyrene has a negative impact on human health. We investigated the effect of polystyrene nanoparticles (PSNPs) on cancer cell stemness using flow cytometric analysis of CD24, CD44, ABCG2, ALDH1 and their combinations. This study uses simultaneous

Indexed as

cancer stem cellsgenetic algorithmpolystyrene nanoparticles

Identifiers

PMID38787133
PMCPMC11125870

What OpenQuestion holds

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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.