Evidence map›Paper›PMID 38651186›Full record

ArticleCancer medicine2024

Flow cytometric minimal residual disease measurement accounting for cytogenetics in children with non-high-risk acute lymphoblastic leukemia treated according to the ALL-MB 2008 protocol.

Alexander Popov, Guenter Henze, Grigory Tsaur, Oleg Budanov, Julia Roumiantseva, Mikhail Belevtsev, Tatiana Verzhbitskaya, Liudmila Movchan, Svetlana Lagoyko, Liudmila Zharikova and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 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

23 authors at 6 institutions in 2 countries.

Alexander PopovNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.ORCID 0000-0002-0889-6986
Guenter HenzeDepartment of Pediatric Oncology Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Grigory TsaurRegional Children's Hospital, Ekaterinburg, Russian Federation.
Oleg BudanovNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Julia RoumiantsevaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Mikhail BelevtsevRepublican Scientific and Practical Center for Pediatric Oncology, Hematology and Immunology, Minsk, Belarus.
Tatiana VerzhbitskayaRegional Children's Hospital, Ekaterinburg, Russian Federation.
Liudmila MovchanRepublican Scientific and Practical Center for Pediatric Oncology, Hematology and Immunology, Minsk, Belarus.
Svetlana LagoykoNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Liudmila ZharikovaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Yulia OlshanskayaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Tatiana RigerRegional Children's Hospital, Ekaterinburg, Russian Federation.
Alena ValochnikRepublican Scientific and Practical Center for Pediatric Oncology, Hematology and Immunology, Minsk, Belarus.
Natalia MiakovaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Dmitry LitvinovNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Olga KhlebnikovaRegional Children's Hospital, Ekaterinburg, Russian Federation.
Olga StrenevaRegional Children's Hospital, Ekaterinburg, Russian Federation.
Elena StolyarovaUral State Medical University, Ekaterinburg, Russian Federation.
Natalia PonomarevaPirogov Russian National Research Medical University, Moscow, Russian Federation.
Galina NovichkovaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Olga AleinikovaNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
Larisa FechinaRegional Children's Hospital, Ekaterinburg, Russian Federation.
Alexander KarachunskiyNational Research and Clinical Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation.
National Medical Research Center for Hematology · RUInstitute of Medical Cell Technologies · RURegional Children's Clinical Hospital No. 1 · RUUral State Medical University · RUCharité - Universitätsmedizin Berlin · DEPirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative measurement of minimal residual disease (MRD) is the "gold standard" for estimating the response to therapy in childhood B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Nevertheless, the speed of the MRD response differs for different cytogenetic subgroups. Here we present results of MRD measurement in children with BCP-ALL, in terms of genetic subgroups with relation to clinically defined risk groups.

methodsA total of 485 children with non-high-risk BCP-ALL with available cytogenetic data and MRD studied at the end-of-induction (EOI) by multicolor flow cytometry (MFC) were included. All patients were treated with standard-risk (SR) of intermediate-risk (ImR) regimens of "ALL-MB 2008" reduced-intensity protocol. RESULTS AND DISCUSSION: Among all study group patients, 203 were found to have low-risk cytogenetics (ETV6::RUNX1 or high hyperdiploidy), while remaining 282 children were classified in intermediate cytogenetic risk group. For the patients with favorable and intermediate risk cytogenetics, the most significant thresholds for MFC-MRD values were different: 0.03% and 0.04% respectively. Nevertheless, the most meaningful thresholds were different for clinically defined SR and ImR groups. For the SR group, irrespective to presence/absence of favorable genetic lesions, MFC-MRD threshold of 0.1% was the most clinically valuable, although for ImR group the most informative thresholds were different in patients from low-(0.03%) and intermediate (0.01%) cytogenetic risk groups.

conclusionOur data show that combining clinical risk factors with MFC-MRD measurement is the most useful tool for risk group stratification of children with BCP-ALL in the reduced-intensity protocols. However, this algorithm can be supplemented with cytogenetic data for part of the ImR group.

Indexed as

Flow CytometryNeoplasm, ResidualAdolescentAntineoplastic Combined Chemotherapy ProtocolsChildChild, PreschoolCore Binding Factor Alpha 2 SubunitCytogenetic AnalysisFemaleHumansInfantMalePrecursor B-Cell Lymphoblastic Leukemia-LymphomaPrecursor Cell Lymphoblastic Leukemia-LymphomaCore Binding Factor Alpha 2 Subunitacute lymphoblastic leukemiaflow cytometrygenetic risk groupsminimal residual disease

Identifiers

PMID38651186
PMCPMC11036069
OpenAlexW4395052171

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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.