Evidence map›Paper›PMID 35857193›Full record

ArticleInternational journal of hematology2022

Adverse impact of a high allelic burden FLT3-ITD mutation on allogeneic hematopoietic stem cell transplantation in patients with cytogenetically normal AML.

Li Wan, Shuqi Ding, Mimi Xu, Kangkang Lv, Yuanyuan Du, Depei Wu, Mingzhu Xu, Yuejun Liu

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

8 authors at 2 institutions in 1 country.

Li Wan *Department of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shuqi Ding *Department of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mimi XuInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China.
Kangkang LvInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China.
Yuanyuan DuInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China.
Depei WuInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China.
Mingzhu XuInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China. xumnigzhu1983213@163.comand.
Yuejun LiuInstitute of Blood and Marrow Transplantation, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 215006, China. liuyuejun@suda.edu.cn.ORCID http://orcid.org/0000-0001-6993-2322
Soochow University · CNUnion Hospital · CN

Funding

National Key R&D Programof China 2017YFA0104502National Key R&D Programof China 2017ZX09304021
6 · The paper itself

Abstract

Risks associated with the FLT3-ITD mutation in patients receiving chemotherapy alone for cytogenetic normal acute myeloid leukemia (CN-AML) depend on the allelic ratio (AR) and concomitant NPM1 mutation. Nevertheless, their prognostic ability after allogeneic hematopoietic cell transplantation (allo-HCT) remains undetermined. Moreover, previous studies have revealed that haploidentical transplantation improves outcomes of FLT3-ITD patients. To elucidate whether this alteration also impacts prognosis of myeloablative allo-HCT upon first remission, we retrospectively reviewed the prognostic ability of FLT3-ITD mutations in 205 CN-AML patients. Our analysis demonstrated that FLT3-ITD AR was closely related to pretransplant MRD and induction response. Multivariate analysis showed that high-AR FLT3-ITD, pretransplant MRD and induction response were independent risk factors for CN-AML. In addition, we presented evidence that the high-AR FLT3-ITD patient prognosis was not overcome by haploidentical transplantation, but was markedly improved by cGVHD. More importantly, among patients with negative pretransplant MRD, high-AR FLT3-ITD patients did not have increased relapse risk, compared to low-AR FLT3-ITD and wild-type FLT3 patients. Our findings will aid in accurate prognostic stratification of FLT3-ITD patients. We also recommend further targeted and coordinated approaches to sustain durable remission following induction chemotherapy and allo-HCT in this high-risk patient population.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, Acutefms-Like Tyrosine Kinase 3HumansMutationNucleophosminRetrospective StudiesFLT3 protein, humanfms-Like Tyrosine Kinase 3NucleophosminAcute myeloid leukemiaAllogeneic hematopoietic cell transplant outcomesFLT3-ITDMeasurable residual diseaseNPM1

Identifiers

PMID35857193
OpenAlexW4285988044

What OpenQuestion holds

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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.