Evidence map›Paper›PMID 40802833›Full record

ArticlePLoS computational biology2025

Mechanistic modeling suggests stroma-targeting antibody-drug conjugates as an alternative to cancer-targeting in cases of heterogeneous target exspression.

N Ezgi Wood, Anıl Cengiz, Ming Gao, Alexander V Ratushny, Ronny Straube

Abstract read
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Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

N Ezgi WoodQuantitative Systems Pharmacology, Bristol Myers Squibb, Princeton, New Jersey, United States of America.ORCID 0000-0002-1874-9226
Anıl CengizDepartment of Mathematics, University of Utah, Salt Lake City, Utah, United States of America.
Ming GaoQuantitative Systems Pharmacology, Bristol Myers Squibb, Cambridge, Massachusetts, United States of America.
Alexander V RatushnyQuantitative Systems Pharmacology, Bristol Myers Squibb, Seattle, Washington, United States of America.
Ronny StraubeQuantitative Systems Pharmacology, Bristol Myers Squibb, Princeton, New Jersey, United States of America.

Funding

Bristol Myers Squibb
6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) are gaining increasing traction in the treatment of oncological diseases; however, many clinical failures have also been observed. One key factor limiting ADC effectiveness is the heterogeneous expression of their target antigen. While the vast majority of ADCs in clinical development target antigens on cancer cells (cancer-targeting), they can also target antigens expressed on non-cancerous stromal cells in the tumor microenvironment (stroma-targeting). It remains unclear if ADCs targeting stromal cells can outperform cancer-targeting ADCs. Here, we present three related mathematical models to evaluate: (1) cancer-targeting ADCs with homogeneous target antigen expression, (2) cancer-targeting ADCs with heterogeneous target antigen expression, and (3) stroma-targeting ADCs. Our simulations suggest that cancer-targeting ADCs can achieve high efficacy when their target antigen is homogenously expressed. However, in cases of heterogeneous antigen expression, cancer-targeting ADCs may lead to an initial reduction in tumor size, followed by regrowth due to the elimination of antigen-positive cells and expansion of antigen-negative cells. This limitation could potentially be overcome by stroma-targeting ADCs, as antigen-positive stromal cells may continue to be recruited into the tumor by the oncogenic factors produced by the remaining cancer cells. Furthermore, we demonstrate that ADCs with more permeable payloads and less stable linkers may offer improved efficacy in the context of heterogeneous target expression.

Indexed as

ImmunoconjugatesModels, BiologicalNeoplasmsAntigens, NeoplasmAntineoplastic AgentsComputational BiologyComputer SimulationHumansStromal CellsTumor MicroenvironmentAntigens, NeoplasmAntineoplastic AgentsImmunoconjugates

Identifiers

PMID40802833
PMCPMC12370192

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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.