Evidence map›Paper›PMID 31691380›Full record

ArticleJournal of clinical laboratory analysis2020

Low serum miR-223 expression predicts poor outcome in patients with acute myeloid leukemia.

Guopan Yu, Zhao Yin, Han He, Zhongxin Zheng, Yanyan Chai, Li Xuan, Ren Lin, Qiang Wang, Jie Li, Dan Xu

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Integrating Salivary Biomarkers CST4 andClinical Medicine Insights. Oncology · 2025
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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

10 authors.

Guopan YuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhao YinDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Han HeDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhongxin ZhengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yanyan ChaiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Li XuanDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ren LinDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qiang WangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jie LiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Dan XuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5916-9113

Funding

Clinical Research Program of Nanfang Hospital, Southern Medical University 2018CR028National Natural Science Foundation of China 81870128Science and Technology Planning Project of Guangdong 2014A020212185
6 · The paper itself

Abstract

backgroundIdentification of biomarkers for acute myeloid leukemia (AML) is important for treating this malignancy. Recent studies have reported that microRNAs (miRNAs) are stably detectable in the blood/plasma and can be used as biomarkers for various types of cancer including AML. The aim of this study was to analyze miR-223 level in serum as a potential indicator for AML diagnosis and prognosis prediction.

methodsQuantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to detect the levels of miR-223 in the serum samples from 131 patients and 70 healthy individuals.

resultsThe results revealed that serum miR-223 was underexpressed in AML patients, particularly those in intermediate and unfavorable cytogenetic risk groups. Further analysis revealed that serum miR-223 could yield a receiver operating characteristic (ROC) area under the curve (AUC) of 0.849 with 83.2% sensitivity and 81.4% specificity. Moreover, a significant increase in serum miR-223 level was observed in AML subjects after their treatment. Reduced serum miR-223 level was highly associated with aggressive clinical variables and shorter survival of patients. Furthermore, miR-223 expression was identified to be an independent prognostic predictor of worse overall survival.

conclusionIn conclusion, miR-223 may be a reliable diagnostic and prognostic biomarker for AML.

Indexed as

Gene Expression Regulation, LeukemicAdultDown-RegulationFemaleHumansLeukemia, Myeloid, AcuteMaleMicroRNAsMiddle AgedMultivariate AnalysisNeoplasm InvasivenessPrognosisROC CurveSurvival AnalysisTreatment OutcomeMicroRNAsMIR223, humanacute myeloid leukemiabiomarkermiR-223serum

Identifiers

PMID31691380
PMCPMC7083432

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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.