Evidence map›Paper›PMID 38409598›Full record

ArticleAnnals of hematology2024

Myelodysplasia-related gene mutations are associated with favorable prognosis in patients with TP53-mutant acute myeloid leukemia.

Yi Chen, Jing Zheng, Yimei Weng, Zhengjun Wu, Xiaofeng Luo, Yanyan Qiu, Yanjuan Lin, Jianda Hu, Yong Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Pandora's Box of AML: HowBiomedicines · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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 at 3 institutions in 1 country.

Yi Chen *Fujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Jing Zheng *Fujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Yimei Weng *Department of Hematology Nursing, Fujian Medical University Union Hospital, Xinquan Road 29, Fuzhou, China.
Zhengjun WuFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Xiaofeng LuoFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Yanyan QiuFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Yanjuan LinFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China.
Jianda HuFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China. drjiandahu@163.com.
Yong WuFujian Medical University Union Hospital, Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Xinquan Road 29, Fuzhou, China. wuyong9195@126.com.
Fujian Medical University · CNUnion Hospital · CNSecond Affiliated Hospital of Fujian Medical University · CN

Funding

Research project of Union Hospital, Fujian Medical University 2021XH008Startup Fund for scientific research, Fujian Medical University 2020QH1079
6 · The paper itself

Abstract

This study aimed to examine the characteristics and treatment outcomes of patients with TP53-mutant acute myeloid leukaemia (AML) and to explore potential prognostic factors. This retrospective analysis included 130 patients diagnosed with TP53-mutant AML at the Fujian Medical University Union Hospital between January 2016 and June 2023. Patients' ages ranged from 17 to 80 years, with a median age of 59 years. The proportions of de novo, therapy-related, and secondary AML cases were 71.5%, 7.7%, and 20.8%, respectively. Complex karyotypes were observed in 60.6% of patients, and the proportions of -5 or del(5q), -7 or del(7q), and - 17 or del(17p) were 41.7%, 27.9% and 14.4%, respectively. DNA methylation- and myelodysplasia-related (MR) gene mutations were observed in 36.9% and 25.4% of patients, respectively. These patients showed poor survival, with a median overall survival (OS) of 4.5 months, a 1-year OS rate of 32.5%, a 3-year OS rate of 18.8%, and a 5-year OS rate of 11.3%. The complete response rates for intensive chemotherapy (IC), hypomethylating agent (HMAs)-based therapies, and azacitidine plus venetoclax were 35.7%, 22.2%, and 37.5%, respectively. Patients who did or did not receive allogeneic haematopoietic stem cell transplantation (allo-HSCT) had similar prognoses (median OS: 6.0 vs. 3.9 months; P = 0.6415). Multivariate analysis indicated that MR gene mutations is an independent favorable prognostic factor of OS (HR = 0.366, 95% CI: 0.181-0.738, P = 0.005). In conclusion, patients with TP53-mutant AML have poor prognoses under current treatment strategies and MR gene mutations are associated with a more favorable survival. Therefore, further studies are needed to improve the survival rates in this population.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesAdolescentAdultAgedAged, 80 and overHumansMiddle AgedMutationPrognosisRetrospective StudiesTumor Suppressor Protein p53Young AdultTP53 protein, humanTumor Suppressor Protein p53Acute myeloid leukaemiaCharacteristicsPrognosisTreatmentTumour protein 53

Identifiers

PMID38409598
OpenAlexW4392772528

What OpenQuestion holds

Textmetadata
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.