Evidence map›Paper›PMID 40883483›Full record

ArticleScientific reports2025

MicroRNAs as prognostic and predictive biomarkers among chronic myeloid leukemia patients in Addis Ababa, Ethiopia.

Fekadu Urgessa, Isaac Jenkins, Aster Tsegaye, Helen Nigussie, Teklu Kuru, Amha Gebremedhin, Fozia Abdela, Fisihatsion Tadesse, Jerald Radich

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. Review
  2. Epigenetic advances in rheumatic heart disease.Journal of translational autoimmunity · 2025
    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

9 authors.

Fekadu UrgessaMedical Laboratory Sciences Department, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. urgessafekadu@gmail.com.
Isaac JenkinsTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Aster TsegayeMedical Laboratory Sciences Department, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Helen NigussieMicrobial Sciences and Genetics Department, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Teklu KuruMicrobial Sciences and Genetics Department, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Amha GebremedhinInternal Medicine Department, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Fozia AbdelaInternal Medicine Department, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Fisihatsion TadesseInternal Medicine Department, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Jerald RadichTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

Approximately 1.5 million people worldwide suffer from chronic myeloid leukemia (CML). MicroRNAs (miRs) are important regulators of gene expression and offer an attractive option as biomarkers for cancer detection, diagnosis, and prognosis assessment in solid and liquid tumors. To assess miRs as prognostic and predictive biomarkers among CML patients at the Tikur Anbessa Specialized Hospital (TASH), Addis Ababa, Ethiopia from April 2021 to May 2023. Blood samples were collected from newly diagnosed CML patients before initiation of tyrosine kinase inhibitor (TKI), imatinib treatment, and while on therapy. The expression level of miRs were determined using the NanoString platform. LIMMA analysis was used to identify differentially expressed miR between TKI response groups and disease phases. Fifty-two study participants were enrolled in the study. From each sample, 798 hsa-miRs included on the Nanostring assay were measured. Comparing TKI naive new CML patients (n = 14) with those progressed or had blast crisis (BC) on TKI therapy (n = 12), 97 miRs were differentially expressed (|log2FC|, FDR, and P-value at > 1, < 0.001, and < 0.0001, respectively). Most miRs showed upregulation in BC CML patients compared to new CML cases except miR-223-3p, miR-4454, miR-7975, and miR-630 which were downregulated in patients with BC. In addition, eight miRs were differentially expressed comparing poor molecular responder (n = 12) with good molecular responder (n = 28) patients (P < 0.05). MiR-223-3p, miR-4454, miR-7975, and miR-630 were commonly deregulated in BC and poor molecular response groups. MiRs have significant potential as prognostic and predictive biomarkers for CML patients. MiR-223-3p, miR-4454, miR-7975 and miR-630 could be considered as prognostic and predictive biomarkers for disease progression and treatment response if validated by other large studies.

Indexed as

Biomarkers, TumorLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMicroRNAsAdolescentAdultAgedEthiopiaFemaleGene Expression Regulation, LeukemicHumansImatinib MesylateMaleMiddle AgedPrognosisProtein Kinase InhibitorsYoung AdultBiomarkers, TumorImatinib MesylateMicroRNAsProtein Kinase InhibitorsBiomarkerChronic myeloid leukemiaMicro-RNA

Identifiers

PMID40883483
PMCPMC12397308

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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.