Evidence map›Paper›PMID 37165281›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

Real-world genomic profiling of acute myeloid leukemia and the impact of European LeukemiaNet risk stratification 2022 update.

Susana Elaine Alves da Rosa, Larissa Barbosa de Lima, Caroline Nunes Silveira, Luiz Gustavo Ferreira Cortes, João Bosco de Oliveira Filho, Rodrigo de Souza Reis, Murilo Castro Cervato, Pedro Henrique Sebe Rodrigues, Karla de Oliveira Pelegrino, Roberta Cardoso Petroni and 2 more

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
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 1 institution in 1 country.

Susana Elaine Alves da RosaHospital Israelita Albert Einstein, São Paulo, Brazil.
Larissa Barbosa de LimaHospital Israelita Albert Einstein, São Paulo, Brazil.
Caroline Nunes SilveiraHospital Israelita Albert Einstein, São Paulo, Brazil.
Luiz Gustavo Ferreira CortesHospital Israelita Albert Einstein, São Paulo, Brazil.
João Bosco de Oliveira FilhoHospital Israelita Albert Einstein, São Paulo, Brazil.
Rodrigo de Souza ReisHospital Israelita Albert Einstein, São Paulo, Brazil.
Murilo Castro CervatoHospital Israelita Albert Einstein, São Paulo, Brazil.
Pedro Henrique Sebe RodriguesHospital Israelita Albert Einstein, São Paulo, Brazil.
Karla de Oliveira PelegrinoHospital Israelita Albert Einstein, São Paulo, Brazil.
Roberta Cardoso PetroniHospital Israelita Albert Einstein, São Paulo, Brazil.
Erica da Silva AraujoHospital Israelita Albert Einstein, São Paulo, Brazil.
Paulo Vidal CampregherHospital Israelita Albert Einstein, São Paulo, Brazil. paulo.campregher@einstein.br.ORCID http://orcid.org/0000-0001-6005-405X
Hospital Israelita Albert Einstein · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers.

methodsIn this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. RESULTS AND DISCUSSION: One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact.

conclusionsIn conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.

Indexed as

Leukemia, Myeloid, AcuteNucleophosminGenomicsHumansMutationPrognosisRisk AssessmentNucleophosminAcute myeloid leukemiaGenetics

Identifiers

PMID37165281
OpenAlexW4376133355

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.