Evidence map›Paper›PMID 38334897›Full record

ArticleInternational journal of clinical oncology2024

Prognostic impact of peripheral blood WT1 mRNA dynamics in patients with acute myeloid leukemia treated with venetoclax combination therapy.

Honami Sato, Takahiro Kobayashi, Yoshihiro Kameoka, Kazuaki Teshima, Atsushi Watanabe, Masahiro Yamada, Takaya Yamashita, Shinsuke Noguchi, Yoshihiro Michisita, Naohito Fujishima and 2 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical oncology, 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
0.9field-weighted citation impact, top 27% 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, 2 citations in OpenAlex.

  1. Article
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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

12 authors at 6 institutions in 1 country.

Honami SatoDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Takahiro KobayashiDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan. takahiro@med.akita-u.ac.jp.ORCID http://orcid.org/0000-0002-9914-7517
Yoshihiro KameokaDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Kazuaki TeshimaDepartment of Hematology, Hiraka General Hospital, Yokote, Japan.
Atsushi WatanabeDepartment of Hematology, Nephrology and Rheumatology, Omagari Kousei Medical Center, Daisen, Japan.
Masahiro YamadaDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Takaya YamashitaDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Shinsuke NoguchiDepartment of Hematology, Akita Red Cross Hospital, Akita, Japan.
Yoshihiro MichisitaDepartment of Hematology, Akita Kousei Medical Center, Akita, Japan.
Naohito FujishimaDepartment of Hematology, Nephrology and Rheumatology, Nohsiro Kousei Medical Center, Noshiro, Japan.
Jun KurokiDepartment of Internal Medicine, Yuri Kumiai General Hospital, Yurihonjo, Japan.
Naoto TakahashiDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Akita University · JPAkita Industrial Technology Center · JPAkita Red Cross Hospital · JPAkita University Hospital · JPHiraka General Hospital · JPSendai Kousei Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWilms' tumor gene 1 (WT1) mRNA quantification is a useful marker of measurable residual disease in acute myeloid leukemia (AML). However, whether monitoring the WT1 mRNA levels may predict the outcome of venetoclax (VEN) combination therapy in AML is not reported. This study aims to elucidate whether WT1 mRNA dynamics could predict long-term prognosis.

methods33 patients with untreated or relapsed/refractory AML evaluated for peripheral blood WT1 dynamics in VEN combination therapy were analyzed.

resultsThe median age was 73 years (range 39-87). Azacitidine was combined with VEN in 91% of patients. Overall, the median overall survival (OS) was 334 days (95% CI 210-482), and the complete remission (CR) plus CR with incomplete hematologic recovery rate was 59%. A 1-log reduction of WT1 mRNA values by the end of cycle 2 of treatment was associated with significantly better OS and event-free survival (EFS) (median OS 482 days vs. 237 days, p = 0.049; median EFS 270 days vs. 125 days, p = 0.02). The negativity of post-treatment WT1 mRNA value during the treatment was associated with significantly better OS and EFS (median OS 482 days vs. 256 days, p = 0.02; median EFS not reached vs. 150 days, p = 0.005). Multivariate analysis confirmed the significance of these two parameters as strong EFS predictors (HR 0.26, p = 0.024 and HR 0.15, p = 0.013, respectively). The increase in WT1 mRNA values was correlated with relapse.

conclusionThis study demonstrates that WT1 mRNA dynamics can be a useful marker for assessing long-term prognosis of VEN combination therapy for AML.

Indexed as

Bridged Bicyclo Compounds, HeterocyclicKidney NeoplasmsLeukemia, Myeloid, AcuteSulfonamidesWilms TumorAdultAgedAged, 80 and overHumansMiddle AgedPrognosisRNA, MessengerWT1 ProteinsBridged Bicyclo Compounds, HeterocyclicRNA, MessengerSulfonamidesvenetoclaxWT1 protein, humanWT1 ProteinsAcute myeloid leukemiaAzacitidineMeasurable residual diseasePredictive factorVenetoclaxWT1 mRNA

Identifiers

PMID38334897
PMCPMC10963556
OpenAlexW4391688942

What OpenQuestion holds

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LicenceCC BY
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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.