Evidence map›Paper›PMID 25428263›Full record

ArticleLeukemia2015

A 3-microRNA scoring system for prognostication in de novo acute myeloid leukemia patients.

M-K Chuang, Y-C Chiu, W-C Chou, H-A Hou, E Y Chuang, H-F Tien

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Article in Leukemia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% of its field
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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  17. MicroRNA-181a-3p as a Diagnostic and Prognostic Biomarker for Acute Myeloid Leukemia.Mediterranean journal of hematology and infectious diseases · 2020
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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 at 2 institutions in 1 country.

M-K ChuangDepartment of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Y-C ChiuGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
W-C Chou1] Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan [2] Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
H-A HouDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
E Y Chuang1] Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan [2] Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.
H-F TienDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a highly heterogeneous disease, acute myeloid leukemia (AML) needs fine risk stratification to get an optimal outcome of patients. MicroRNAs have florid biological functions and have critical roles in the pathogenesis and prognosis in AML. Expression levels of some single microRNAs are influential for prognosis, but a system integrating several together and considering the weight of each should be more powerful. We thus analyzed the clinical, genetic and microRNA profiling data of 138 de novo AML patients of our institute. By multivariate analysis, we identified that high expression of hsa-miR-9-5p and hsa-miR-155-5p were independent poor prognostic factors, whereas that of hsa-miR-203 had a trend to be a favorable factor. We constructed a scoring system from expression of these three microRNAs by considering the weight of each. The scores correlated with distinct clinical and biological features and outperformed single microRNA expression in prognostication. In both ours and another validation cohort, higher scores were associated with shorter overall survival, independent of other well-known prognostic factors. By analyzing the mRNA expression profiles, we sorted out several cancer-related pathways highly correlated with the microRNA prognostic signature. We conclude that this 3-microRNA scoring system is simple and powerful for risk stratification of de novo AML patients.

Indexed as

Gene Expression Regulation, LeukemicAdolescentAdultAgedAged, 80 and overChromosome AberrationsCohort StudiesCytogeneticsDNA Mutational AnalysisFemaleGene Expression ProfilingHumansLeukemia, Myeloid, AcuteMaleMicroarray AnalysisMicroRNAsMicroRNAsMIRN155 microRNA, humanMIRN203 microRNA, human

Identifiers

PMID25428263
OpenAlexW1974261530

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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.