Evidence map›Paper›PMID 40811860›Full record

ArticleBlood2025

Improved diagnostic screening and classification of clonal mast cell diseases by ultrasensitive KIT p.D816V detection.

Paula Navarro-Navarro, María González-Tablas, Alba Pérez-Pons, Laura Sánchez-Muñoz, Ana Henriques, Iván Álvarez-Twose, Paula Nafria, David Araco-Sánchez, Cristina Morales-Cabeza, Horacio Caligaris and 7 more

Abstract read
In one paragraph

Article in Blood, 2025. 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
–field-weighted citation impact
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.

  1. SuperRCA assay ofThe journal of allergy and clinical immunology. Global · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Paula Navarro-NavarroDepartment of Medicine, Centro de Investigación del Cáncer, Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0002-3013-5497
María González-TablasCytometry Service, NUCLEUS, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0001-9774-1558
Alba Pérez-PonsDepartment of Medicine, Centro de Investigación del Cáncer, Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0002-5805-1391
Laura Sánchez-MuñozRed Española de Mastocitosis, Toledo, Spain.ORCID 0000-0003-1757-7255
Ana HenriquesRed Española de Mastocitosis, Toledo, Spain.ORCID 0000-0002-5096-791X
Iván Álvarez-TwoseRed Española de Mastocitosis, Toledo, Spain.ORCID 0000-0002-1190-4473
Paula NafriaCytometry Service, NUCLEUS, Universidad de Salamanca, Salamanca, Spain.
David Araco-SánchezDNA Sequencing Service, NUCLEUS, Universidad de Salamanca, Salamanca, Spain.
Cristina Morales-CabezaRed Española de Mastocitosis, Toledo, Spain.ORCID 0000-0002-8550-0930
Horacio CaligarisRed Española de Mastocitosis, Toledo, Spain.ORCID 0009-0000-7397-7064
Lei ChenRarity Bioscience AB, Uppsala, Sweden.ORCID 0000-0002-5226-1427
David González-de-OlanoRed Española de Mastocitosis, Toledo, Spain.ORCID 0000-0001-6653-4900
Óscar González-LópezDepartment of Medicine, Centro de Investigación del Cáncer, Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0002-4169-4294
Luis EscribanoRed Española de Mastocitosis, Toledo, Spain.
Andrés C García-MonteroDepartment of Medicine, Centro de Investigación del Cáncer, Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0003-4360-1386
María Jara-AcevedoCytometry Service, NUCLEUS, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0001-7965-7512
Alberto OrfaoDepartment of Medicine, Centro de Investigación del Cáncer, Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Salamanca, Spain.ORCID 0000-0002-0007-7230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractDetection of KIT p.D816V is a cornerstone in the diagnosis and classification of mast cell activation syndromes (MCAS) and mastocytosis. However, KIT p.D816V may be undetected due to a low mutated-cell burden in the blood and bone marrow (BM) of many patients, particularly those without skin lesions. These findings underscore the need for ultrasensitive molecular techniques for the detection of KIT p.D816V in these clinical settings. Here, we evaluated, to our knowledge, for the first time, the sensitivity and specificity of a novel Flow-SuperRCA KIT p.D816V assay, compared with conventional allele-specific oligonucleotide quantitative polymerase chain reaction (ASOqPCR), through the analysis of 548 blood and BM samples from 337 adult patients with MCAS and mastocytosis. Our results demonstrated greater sensitivity of the new technique vs ASOqPCR (limit of detection: 0.001% vs 0.01% variant allele frequency), with higher rates of positivity for KIT p.D816V in whole blood and/or BM of 64% of patients with monoclonal MCAS and 55% of patients with BM mastocytosis (P < .0001). Notably, the sensitivity of the new assay went beyond that of ASOqPCR in purified BM mast cells (P < .0001). Additionally, clonality was newly identified in 18% of patients previously diagnosed with nonclonal MCAS, who presented with a unique cutaneous MCA-related symptomatic profile. These results confirm the high specificity and ultrasensitivity of the Flow-SuperRCA assay for the detection of KIT p.D816V, emerging as a well-suited whole-blood and whole-BM test for diagnostic screening and classification of patients with MCAS and mastocytosis. These findings further highlight the clonal nature of an unprecedently high fraction of patients who presented with anaphylaxis and MCAS, with important pathogenic, diagnostic, and clinical implications.

Indexed as

MastocytosisProto-Oncogene Proteins c-kitAdolescentAdultAgedFemaleHumansMaleMast CellsMiddle AgedMutationSensitivity and SpecificityYoung AdultKIT protein, humanProto-Oncogene Proteins c-kit

Identifiers

PMID40811860
PMCPMC12883851

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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.