Evidence map›Paper›PMID 41693899›Full record

ArticleBiomedical optics express2026

Fluorescent properties of FDA-approved anti-leukemia drugs.

Dóra Bereczki, Ines Lidia Haffaressas, Zoltán Szabó, Szilárd Tóth, András Füredi, Péter Fürjes

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dóra BereczkiInstitute of Technical Physics and Materials Science, HUN-REN Centre of Energy Research, H-1121 Budapest, Hungary.
Ines Lidia HaffaressasInstitute of Molecular Life Sciences, Center of Excellence of the Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
Zoltán SzabóInstitute of Technical Physics and Materials Science, HUN-REN Centre of Energy Research, H-1121 Budapest, Hungary.
Szilárd TóthInstitute of Molecular Life Sciences, Center of Excellence of the Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
András FürediInstitute of Technical Physics and Materials Science, HUN-REN Centre of Energy Research, H-1121 Budapest, Hungary.ORCID https://orcid.org/0000-0002-7883-9901
Péter FürjesInstitute of Technical Physics and Materials Science, HUN-REN Centre of Energy Research, H-1121 Budapest, Hungary.ORCID https://orcid.org/0000-0002-8022-4367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inherent fluorescent properties of anti-leukemic drugs offer unique advantages for real-time therapeutic tracking and optimization. In this study, we systematically screened the absorption and emission spectra of 82 leukemia-related compounds, identifying 28 autofluorescent drugs suitable for fluorescence-based optical concentration monitoring. Excitation and emission parameters were evaluated across various solvents (DMSO, fetal bovine serum, and culture media), revealing solvent-dependent spectral changes, intensity variations, and effect on detection limits. These 28 compounds were further assessed for cytotoxicity screening in case of drug-naive and drug-resistant K562 leukemia lymphoblast cells. By correlating their spectral properties with cytotoxic responses, our study establishes a robust framework for fluorescence-assisted drug profiling, enabling pharmacokinetic insights, resistance prediction, and informed therapeutic adjustments. These findings underscore the translational potential of fluorescence-based methodologies in supporting precision medicine for leukemia treatment.

Identifiers

PMID41693899
PMCPMC12904533

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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.