Beyond Trial and Error: A Mathematical Model Wrangles DLBCL Heterogeneity Toward Optimizing Combination Therapy
In this issue of Blood Cancer Discovery, Pomeroy and Palmer present a new mathematical model, incorporating both inter- and intra-patient heterogeneity, to accurately predict outcomes for first-line combination therapies in diffuse large B-cell lymphoma. Their quantitative framework opens a range of possibilities for optimizing trial design and lymphoma therapy with potential to expedite clinical development. See related article by Pomeroy and Palmer, p. 254.
Authors
- Ash A. Alizadeh (ORCID: https://orcid.org/0000-0002-5153-5625)
- Jordan Goldstein (ORCID: https://orcid.org/0000-0003-4434-5070)
- Nick A. Phillips (ORCID: https://orcid.org/0000-0001-7624-7139)
Institutions
- Stanford University (US)
Publication Details
- Journal
- Blood Cancer Discovery
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1158/2643-3230.bcd-25-0071
- Primary Topic
- Lymphoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00