Evidence map›Paper›PMID 37291838›Full record

ArticleThe Korean journal of internal medicine2023

The prognostic impact of reduced variant burden in elderly patients with acute myeloid leukemia treated with decitabine.

Mihee Kim, TaeHyung Kim, Seo-Yeon Ahn, Jun Hyung Lee, Ju Heon Park, Myung-Geun Shin, Sung-Hoon Jung, Ga-Young Song, Deok-Hwan Yang, Je-Jung Lee and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2023. 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
0.3field-weighted citation impact, top 37% 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

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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

15 authors at 2 institutions in 2 countries.

Mihee KimDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
TaeHyung KimDepartment of Computer Science, University of Toronto, Toronto, Canada.
Seo-Yeon AhnDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Jun Hyung LeeGC Labs, Yongin, Korea.
Ju Heon ParkDepartment of Laboratory Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Myung-Geun ShinDepartment of Laboratory Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Sung-Hoon JungDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Ga-Young SongDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Deok-Hwan YangDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Je-Jung LeeDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Seung Hyun ChoiGenomic Research Center for Hematopoietic Diseases, Chonnam National University Hwasun Hospital, Hwasun, Korea.
Mi Yeon KimGenomic Research Center for Hematopoietic Diseases, Chonnam National University Hwasun Hospital, Hwasun, Korea.
Jae-Sook AhnDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Hyeoung-Joon KimDepartment of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Dennis Dong Hwan KimDepartment of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.
Chonnam National University Hwasun Hospital · KRUniversity of Toronto · CA

Funding

Chonnam National University Hwasun Hospital HCRI21006Foundation of cutting-edge supporting infrastructure for precision medicine industry P0017144Ministry of Health and Welfare 1720160Ministry of Science, ICT and Future PlanningNational R&D Program for Cancer ControlNational Research Foundation of Korea 2015R1A2A1A10054579National Research Foundation of Korea 2018R1A2A1A05078480National Research Foundation of Korea 2022R1F1A1063836
6 · The paper itself

Abstract

BACKGROUND/

aimsWe evaluated the role of next-generation sequencing (NGS)-based disease monitoring for elderly patients diagnosed with acute myeloid leukemia (AML) who received decitabine therapy.

methodsA total of 123 patients aged > 65 years with AML who received decitabine were eligible. We analyzed the dynamics of variant allele frequency (VAF) in 49 available follow-up samples after the fourth cycle of decitabine. The 58.6% VAF clearance (Δ, [VAF at diagnosis - VAF at follow-up] × 100 / VAF at diagnosis) was the optimal cut-off for predicting overall survival (OS).

resultsThe overall response rate was 34.1% (eight patients with complete remission [CR], six of CR with incomplete hematologic recovery, 22 with partial responses, and six with morphologic leukemia-free status). Responders (n = 42) had significantly better OS compared with non-responders (n = 42) (median, 15.3 months vs. 6.5 months; p < 0.001). Of the 49 patients available for follow-up targeted NGS analysis, 44 had trackable gene mutations. The median OS of patients with ΔVAF ≥ 58.6% (n=24) was significantly better than that of patients with ΔVAF < 58.6% (n = 19) (20.5 months vs. 9.8 months, p = 0.010). Moreover, responders with ΔVAF ≥ 58.6% (n = 20) had a significantly longer median OS compared with responders with VAF < 58.6% (n = 11) (22.5 months vs. 9.8 months, p = 0.004).

conclusionThis study suggested that combining ΔVAF ≥ 58.6%, a molecular response, with morphologic and hematologic responses can more accurately predict OS in elderly AML patients after decitabine therapy.

Indexed as

Leukemia, Myeloid, AcuteAgedAntineoplastic Combined Chemotherapy ProtocolsDecitabineHumansMutationPrognosisRemission InductionDecitabineAcute myeloid leukemiaAllele frequencyDecitabineElderly patientsResidual neoplasm

Identifiers

PMID37291838
PMCPMC10338247
OpenAlexW4379779587

What OpenQuestion holds

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LicenceCC BY-NC
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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.