Evidence map›Paper›PMID 39392050›Full record

ArticleMolecular medicine reports2024

Ahtziri S Carranza-Aranda, Luis Felipe Jave-Suárez, Flor Y Flores-Hernández, María Del Rosario Huizar-López, Sara E Herrera-Rodríguez, Anne Santerre

Abstract read
In one paragraph

Article in Molecular medicine reports, 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. Trial
  2. Quizartinib for Newly DiagnosedJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Trial
  3. Review
  4. Article
  5. Review
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.

Ahtziri S Carranza-ArandaBiomedicine and Ecology Molecular Markers Laboratory, Department of Cellular and Molecular Biology, Biological and Agricultural Sciences Campus, University of Guadalajara, Zapopan, Jalisco 44600, Mexico.
Luis Felipe Jave-SuárezDivision of Immunology, Western Biomedical Research Center, Mexican Social Security Institute, Guadalajara, Jalisco 44340, Mexico.
Flor Y Flores-HernándezMedical and Pharmaceutical Biotechnology Unit, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco 44270, Mexico.
María Del Rosario Huizar-LópezBiomedicine and Ecology Molecular Markers Laboratory, Department of Cellular and Molecular Biology, Biological and Agricultural Sciences Campus, University of Guadalajara, Zapopan, Jalisco 44600, Mexico.
Sara E Herrera-RodríguezMedical and Pharmaceutical Biotechnology Unit, Center for Research and Assistance in Technology and Design of the State of Jalisco, Merida, Yucatan 97302, Mexico.
Anne SanterreBiomedicine and Ecology Molecular Markers Laboratory, Department of Cellular and Molecular Biology, Biological and Agricultural Sciences Campus, University of Guadalajara, Zapopan, Jalisco 44600, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is the most common hematological cancer in the adult population worldwide. Approximately 35% of patients with AML present internal tandem duplication (ITD) mutations in the FMS‑like tyrosine kinase 3 (FLT3) receptor associated with poor prognosis, and thus, this receptor is a relevant target for potential therapeutics. Tyrosine kinase inhibitors (TKIs) are used to treat AML; however, their molecular interactions and effects on leukemic cells are poorly understood. The present study aimed to gain insights into the molecular interactions and affinity forces of four TKI drugs (sorafenib, midostaurin, gilteritinib and quizartinib) with the wild‑type (WT)‑FLT3 and ITD‑mutated (ITD‑FLT3) structural models of FLT3, in its inactive aspartic acid‑phenylalanine‑glycine motif (DFG‑out) and active aspartic acid‑phenylalanine‑glycine motif (DFG‑in) conformations. Furthermore, the present study evaluated the effects of the second‑generation TKIs gilteritinib and quizartinib on cancer cell viability, apoptosis and proliferation in the MV4‑11 (ITD‑FLT3) and HL60 (WT‑FLT3) AML cell lines. Peripheral blood mononuclear cells (PBMCs) from a healthy volunteer were included as an FLT3‑negative group. Molecular docking analysis indicated higher affinities of second‑generation TKIs for WT‑FLT3/DFG‑out and WT‑FLT3/DFG‑in compared with those of the first‑generation TKIs. However, the ITD mutation changed the affinity of all TKIs. The

Indexed as

fms-Like Tyrosine Kinase 3Leukemia, Myeloid, AcuteProtein Kinase InhibitorsStaurosporineAniline CompoundsAntineoplastic AgentsApoptosisBenzothiazolesCell Line, TumorCell ProliferationCell SurvivalComputer SimulationHumansMolecular Docking SimulationMutationPhenylurea CompoundsAniline CompoundsAntineoplastic AgentsBenzothiazolesFLT3 protein, humanfms-Like Tyrosine Kinase 3gilteritinibmidostaurinPhenylurea CompoundsProtein Kinase InhibitorsPyrazinesquizartinibSorafenibStaurosporineTriazinesacute myeloid leukemiacytotoxicityFMS‑like tyrosine kinase 3HL60homology modeling of proteinsinternal tandem duplicationmolecular dockingMV4‑11tyrosine kinase inhibitors

Identifiers

PMID39392050
PMCPMC11475230

What OpenQuestion holds

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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.