Evidence map›Paper›PMID 36497281›Full record

ArticleCancers2022

Impact of FLT3-ITD Mutation Status and Its Ratio in a Cohort of 2901 Patients Undergoing Upfront Intensive Chemotherapy: A PETHEMA Registry Study.

Rosa Ayala, Gonzalo Carreño-Tarragona, Eva Barragán, Blanca Boluda, María J Larráyoz, María Carmen Chillón, Estrella Carrillo-Cruz, Cristina Bilbao, Joaquín Sánchez-García, Teresa Bernal and 21 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

31 authors at 14 institutions in 1 country.

Rosa AyalaHematology Department, Hospital Universitario 12 de Octubre, i+12, CNIO, CIBERONC, Complutense University, 28041 Madrid, Spain.
Gonzalo Carreño-TarragonaHematology Department, Hospital Universitario 12 de Octubre, i+12, CNIO, CIBERONC, Complutense University, 28041 Madrid, Spain.
Eva BarragánMolecular Biology Unit, Hospital Universitari i Politécnic-IIS La Fe, 46026 Valencia, Spain.
Blanca BoludaHematology Department, Hospital Universitari i Politécnic-IIS La Fe, CIBERONC, 46026 Valencia, Spain.
María J LarráyozCIMA LAB Diagnostics, Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-0667-1959
María Carmen ChillónHospital Universitario de Salamanca (HUS/IBSAL), CIBERONC and Center for Cancer Research-IBMCC (USAL-CSIC), 37007 Salamanca, Spain.ORCID 0000-0003-1624-6059
Estrella Carrillo-CruzHospital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS/CSIC/CIBERONC), Universidad de Sevilla, 41120 Sevilla, Spain.
Cristina BilbaoHospital Universitario de Gran Canaria Dr. Negrín, 35002 Las Palmas de Gran Canaria, Spain.ORCID 0000-0002-4796-1445
Joaquín Sánchez-GarcíaIMIBIC, Hematology, Hospital Universitario Reina Sofía, UCO, 14004 Córdoba, Spain.
Teresa BernalHospital Universitario Central de Asturias, Instituto de Investigación del Principado de Asturias (ISPA), 33011 Oviedo, Spain.
David Martinez-CuadronHematology Department, Hospital Universitari i Politécnic-IIS La Fe, CIBERONC, 46026 Valencia, Spain.ORCID 0000-0001-7540-4091
Cristina GilHospital General Universitario de Alicante, 03010 Alicante, Spain.
Josefina SerranoIMIBIC, Hematology, Hospital Universitario Reina Sofía, UCO, 14004 Córdoba, Spain.
Carlos Rodriguez-MedinaHospital Universitario de Gran Canaria Dr. Negrín, 35002 Las Palmas de Gran Canaria, Spain.
Juan BerguaHospital Universitario San Pedro de Alcántara, 10001 Cáceres, Spain.
José A Pérez-SimónHospital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS/CSIC/CIBERONC), Universidad de Sevilla, 41120 Sevilla, Spain.ORCID 0000-0003-3616-6101
María CalbachoHematology Department, Hospital Universitario 12 de Octubre, i+12, CNIO, CIBERONC, Complutense University, 28041 Madrid, Spain.
Juan M Alonso-DomínguezHospital Universitario Fundación Jiménez Díaz, 28040 Madrid, Spain.ORCID 0000-0001-6233-5912
Jorge LabradorResearch Unit, Hematology Department, Hospital Universitario de Burgos, Universidad Isabel I, 09006 Burgos, Spain.ORCID 0000-0002-3696-0287
Mar TormoHematology Department, Hospital Clínico Universitario-INCLIVA, 46026 Valencia, Spain.
Maria Luz AmigoHospital Universitario Morales Messeguer, 30008 Murcia, Spain.
Pilar Herrera-PuenteHospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
Inmaculada RapadoHematology Department, Hospital Universitario 12 de Octubre, i+12, CNIO, CIBERONC, Complutense University, 28041 Madrid, Spain.
Claudia SargasMolecular Biology Unit, Hospital Universitari i Politécnic-IIS La Fe, 46026 Valencia, Spain.ORCID 0000-0001-8144-7995
Iria VazquezCIMA LAB Diagnostics, Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-0027-6384
María J CalasanzCIMA LAB Diagnostics, Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-0374-3008
Teresa Gomez-CasaresHospital Universitario de Gran Canaria Dr. Negrín, 35002 Las Palmas de Gran Canaria, Spain.
Ramón García-SanzHospital Universitario de Salamanca (HUS/IBSAL), CIBERONC and Center for Cancer Research-IBMCC (USAL-CSIC), 37007 Salamanca, Spain.ORCID 0000-0003-4120-2787
Miguel A SanzHematology Department, Hospital Universitari i Politécnic-IIS La Fe, CIBERONC, 46026 Valencia, Spain.ORCID 0000-0003-1489-1177
Joaquín Martínez-LópezHematology Department, Hospital Universitario 12 de Octubre, i+12, CNIO, CIBERONC, Complutense University, 28041 Madrid, Spain.ORCID 0000-0001-7908-0063
Pau MontesinosHematology Department, Hospital Universitari i Politécnic-IIS La Fe, CIBERONC, 46026 Valencia, Spain.
Hospital Universitari i Politècnic La Fe · ESHospital Universitario 12 De Octubre · ESHospital Universitario de Gran Canaria Doctor Negrín · ESUniversidad de Navarra · ESHospital Universitario Virgen del Rocío · ESInstituto de Investigación Biomédica de Salamanca · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESHospital General Universitario de Alicante Doctor Balmis · ESHospital General Universitario Morales Meseguer · ESHospital San Pedro de Alcántara · ESHospital Universitario de Burgos · ESHospital Universitario Fundación Jiménez Díaz · ESHospital Universitario Ramón y Cajal · ESInstituto de Investigación Sanitaria del Principado de Asturias · ES

Funding

Instituto de Salud Carlos III PI19/01518 and PI19/00730
6 · The paper itself

Abstract

FLT3−ITD results in a poor prognosis in terms of overall survival (OS) and relapse-free survival (RFS) in acute myeloid leukemia (AML). However, the prognostic usefulness of the allelic ratio (AR) to select post-remission therapy remains controversial. Our study focuses on the prognostic impact of FLT3−ITD and its ratio in a series of 2901 adult patients treated intensively in the pre-FLT3 inhibitor era and reported in the PETHEMA registry. A total of 579 of these patients (20%) harbored FLT3−ITD mutations. In multivariate analyses, patients with an FLT3−ITD allele ratio (AR) of >0.5 showed a lower complete remission (CR rate) and OS (HR 1.47, p = 0.009), while AR > 0.8 was associated with poorer RFS (HR 2.1; p < 0.001). Among NPM1/FLT3−ITD-mutated patients, median OS gradually decreased according to FLT3−ITD status and ratio (34.3 months FLT3−ITD-negative, 25.3 months up to 0.25, 14.5 months up to 0.5, and 10 months ≥ 0.5, p < 0.001). Post-remission allogeneic transplant (allo-HSCT) resulted in better OS and RFS as compared to auto-HSCT in NPM1/FLT3−ITD-mutated AML regardless of pre-established AR cutoff (≤0.5 vs. >0.5). Using the maximally selected log-rank statistics, we established an optimal cutoff of FLT3−ITD AR of 0.44 for OS, and 0.8 for RFS. We analyzed the OS and RFS according to FLT3−ITD status in all patients, and we found that the group of FLT3−ITD-positive patients with AR < 0.44 had similar 5-year OS after allo-HSCT or auto-HSCT (52% and 41%, respectively, p = 0.86), but worse RFS after auto-HSCT (p = 0.01). Among patients with FLT3−ITD AR > 0.44, allo-HSCT was superior to auto-HSCT in terms of OS and RFS. This study provides more evidence for a better characterization of patients with AML harboring FLT3−ITD mutations.

Indexed as

acute myeloid leukemia (AML)deathFLT3–ITD mutation and ratiooutcomeprognosisreal-world outcomesrelapsesurvival

Identifiers

PMID36497281
PMCPMC9737662
OpenAlexW4310036758

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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.