ArticleBlood cancer discovery2025
Beyond Trial and Error: A Mathematical Model Wrangles DLBCL Heterogeneity Toward Optimizing Combination Therapy.
Article in Blood cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Authors and funding
3 authors.
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Abstract
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.
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