Evidence map›Paper›PMID 38416121›Full record

ArticleBiomolecules & biomedicine2024

Huanying Ren, Minglin Hong, Jingyi Feng, Zhuanghui Hao, Xian Chen, Fengting Liang, Wei Wei, Xuelan Liang, Hongwei Wang, Xiuhua Chen

Open access · diamondAbstract read
In one paragraph

Article in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Huanying RenInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Minglin HongInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Jingyi FengInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Zhuanghui HaoInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xian ChenInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Fengting LiangInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Wei WeiInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xuelan LiangInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Hongwei WangInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xiuhua ChenInstitute of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploration of variant allele frequency (VAF) of GATA2 mutations (GATA2mut) provides insights into acute myeloid leukemia (AML) prognosis. In this study, we analyzed GATA2mut and co-mutations in 166 Chinese patients with cytogenetically normal AML. This was done through targeted next-generation sequencing of 34 genes associated with myeloid leukemia. GATA2mut was identified in 17 (10%) patients being significantly correlated with co-mutations in CCAAT/enhancer-binding protein alpha (CEBPA) double mutation (P = 0.001). We observed that the N-terminal zinc finger domain (ZF1) was linked to CEBPA mutations, while the C-terminal zinc finger domain (ZF2) was associated with Wilms' tumor 1 (WT1) mutations. It was also noted that patients with GATA2mut had lower platelet counts at diagnosis (P = 0.032). In the entire cohort, GATA2mut had no significant prognostic impact on overall survival (OS) (P = 0.762) and relapse-free survival (RFS) (P = 0.369) compared to patients with GATA2wt. The OS (P = 0.737) and RFS (P = 0.894) of the ZF1 mutation were similar to those of the ZF2 mutation. Most patients with GATA2 mutations were classified in the ELN2022 favorable- and intermediate-risk groups. GATA2mut patients in the favorable-risk group were divided into GATA2High and GATA2Low groups using a median cutoff variant allele frequency (VAF) of 40.13%. GATA2High patients were associated with worse OS (P = 0.031) and RFS (P = 0.021) than GATA2Low patients. In the intermediate-risk group, the high median VAF of GATA2 (≥38.51%) had no significant effect in OS and RFS compared with the low median VAF (<38.51%). This study offers new insights on the prognosis of GATA2mut in the favorable-risk group, where VAF can be used as a guide.

Indexed as

GATA2 Transcription FactorGene FrequencyLeukemia, Myeloid, AcuteMutationAdolescentAdultAgedAged, 80 and overCCAAT-Enhancer-Binding ProteinsChinaEast Asian PeopleFemaleHumansMaleMiddle AgedPrognosisCCAAT-Enhancer-Binding ProteinsCEBPA protein, humanGATA2 protein, humanGATA2 Transcription Factor

Identifiers

PMID38416121
PMCPMC11293240
OpenAlexW4392664115

What OpenQuestion holds

Textmetadata
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.