Evidence map›Paper›PMID 38294290›Full record

ArticleBioscience reports2024

Identification and validation of STAT4 as a prognostic biomarker in acute myeloid leukemia.

Chenyu Li, Jingyuan Zhao, Bingyu Kang, Shuai Li, Jingya Tang, Deshi Dong, Yanwei Chen

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Chenyu Li *Department of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jingyuan Zhao *Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Bingyu KangDepartment of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Shuai LiDepartment of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID 0000-0002-3492-7176
Jingya TangDepartment of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Deshi DongDepartment of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yanwei ChenDepartment of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Dalian Medical University · CN

Funding

Department of Education of Liaoning Province () LJKZ0862National Natural Science Foundation of China (NSFC) 81871725
6 · The paper itself

Abstract

Acute myelogenous leukemia (AML) is a common malignancy and is supposed to have the ability to escape host immune surveillance. The present study aimed to identify key genes in AML that may affect tumor immunity and to provide prognosis biomarkers of AML. The Cancer Genome Atlas (TCGA) dataset was screened for transcription factors (TFs) involved in immunity and influencing survival, combining Gene Expression Omnibus (GEO) data to validate the impact on patient survival. A prognostic signature was established using four transcription factors, and these genes play an important role in the immune system, with higher regulatory T cell (Treg) scores in high-risk patients compared with the low-risk group. Analysis of individual genes showed that STAT4 and Treg are closely related, which may be due to STAT4 transcribing related genes that affect immunity. STAT4 expression was positively correlated with the proportion of abnormal cells and promoted AML recurrence as verified by AML clinical patient samples. In addition, silencing of STAT4 significantly slowed down the proliferation capacity of HL60 cells. In conclusion, these findings suggest that STAT4 may be a potential biomarker for AML prognosis. As a key gene affecting the prognosis of AML patients, STAT4 has the potential to be a candidate diagnostic and prognostic biomarker for AML.

Indexed as

Leukemia, Myeloid, AcuteBiomarkersHumansPrognosisRisk FactorsSTAT4 Transcription FactorTranscription FactorsBiomarkersSTAT4 protein, humanSTAT4 Transcription FactorTranscription FactorsAMLprognostic biomarkerSTAT4transcription factorTreg

Identifiers

PMID38294290
PMCPMC10861362
OpenAlexW4391386321

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.