Educational content on VJHemOnc is intended for healthcare professionals only. By visiting this website and accessing this information you confirm that you are a healthcare professional.

The Myeloproliferative Neoplasms Channel on VJHemOnc is an independent medical education platform, supported with funding from Takeda (Gold) and Kartos Therapeutics, Inc. (Bronze). Supporters have no influence on the production of content. The levels of sponsorship listed are reflective of the amount of funding given.

Share this video  

ASH 2024 | A predictive model for advanced vs indolent systemic mastocytosis based on peripheral blood testing

Daniel DeAngelo, MD, PhD, Dana-Farber Cancer Institute, Boston, MA, comments on the development of a predictive model for differentiating between indolent and advanced systemic mastocytosis (SM) using peripheral blood testing. Dr DeAngelo explains that the model, which achieved 93% predictive accuracy, can assist clinicians in determining the stage of the disease, which is crucial for prognosis and therapeutic treatment. This interview took place at the 66th ASH Annual Meeting and Exposition, held in San Diego, CA.

These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.

Transcript (AI-generated)

The diagnosis of systemic mastocytosis is difficult. Pathologists will come with a diagnosis of systemic mastocytosis, but it’s up to the clinician to differentiate between an indolent versus an advanced course of the disease using some really arcaic B and C findings, and it’s very complicated, even for a seasoned veteran like myself. And so what we did is we came up with some mathematical modeling using basic laboratory findings to discriminate between indolent versus advanced disease...

The diagnosis of systemic mastocytosis is difficult. Pathologists will come with a diagnosis of systemic mastocytosis, but it’s up to the clinician to differentiate between an indolent versus an advanced course of the disease using some really arcaic B and C findings, and it’s very complicated, even for a seasoned veteran like myself. And so what we did is we came up with some mathematical modeling using basic laboratory findings to discriminate between indolent versus advanced disease. We used patients that were enrolled on the Pioneer avapritinib study, which was only indolent systemic mastocytosis, and patients who enrolled on the Explorer and Pathfinder studies, and both of those included only advanced systemic mastocytosis. So with 93% predictive capabilities, we were able to differentiate using just simple parameters between indolent and advanced systemic mastocytosis. We then took a large cohort of patients, almost 200 patients from the Dana-Farber as a validation set. And we were also able to corroborate this modeling to differentiate these two entities. And we think that in the future, this is going to assist clinicians who may not be as versed in the differential subtypes of systemic mastocytosis in determining which stage or which disease a patient has, which is important for both prognosis as well as therapeutic treatment.

 

This transcript is AI-generated. While we strive for accuracy, please verify this copy with the video.

Read more...

Disclosures

Amgen, Autolus, Blueprint, Gilead, Incyte, Jazz, Novartis, Pfizer, Servier, Takeda: Consultancy; Mt Sinai MPN Consortium: Other: Mt Sinai MPN Consortium; Daiichi-Sankyo, Fibrogen: Other: DSMB; AbbVie, Blueprint, GlycoMimetics, Novartis: Research Funding; Dana-Farber Cancer Institute: Current Employment.