Lymph node models of chronic lymphocytic leukemia for translational evaluation of new drug candidates

INTRODUCTION: In the past decade, targeted agents have revolutionized the treatment landscape for chronic lymphocytic leukemia (CLL) patients, with life expectancy approaching the age-matched population. Despite this , patients can develop drug-associated toxicities or resistance, highlighting a need for further treatment option development. Conventional 2D models often lack the complexity of CLL to appropriately test new agents and promising therapies can lack translatability to patient disease. However, advanced 3D models are emerging that incorporate CLL microenvironment complexity. These human cell-based systems have the potential to replicate patient disease more faithfully and embed physiologically-relevant understanding at an early stage of the drug discovery and development process. AREAS COVERED: Herein, the authors discuss bioengineered human cell-based models that have and are being developed with ranging complexities which can be tuned to fit study requirements, from scaffold-free models (e.g. spheroids), to bioreactors that mimic blood circulation. These platforms offer the potential for both high-throughput drug screening and an enhanced understanding of CLL biology. Literature was retrieved from searches on Google Scholar. EXPERT OPINION: These bioengineered models collectively offer the potential to enhance drug discovery, minimize attrition in the development pathway and bridge the translational gap. This can ultimately facilitate a more efficient translation of effective treatments toward the clinic.

Authors

Institutions

Publication Details

Journal
Expert Opinion on Drug Discovery
Published
2026-09-28
DOI
https://doi.org/10.1080/17460441.2026.2739391
Primary Topic
Chronic Lymphocytic Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Lymph node models of chronic lymphocytic leukemia for translational evaluation of new drug candidates

Hannah Donnelly, Alison M. Michie, Lucy Clarke, Celia Ribes Balanza
Expert Opinion on Drug Discovery
Chronic Lymphocytic Leukemia Research
article

Lymph node models of chronic lymphocytic leukemia for translational evaluation of new drug candidates

Hannah Donnelly, Alison M. Michie, Lucy Clarke, Celia Ribes Balanza
article en

Abstract

INTRODUCTION: In the past decade, targeted agents have revolutionized the treatment landscape for chronic lymphocytic leukemia (CLL) patients, with life expectancy approaching the age-matched population. Despite this , patients can develop drug-associated toxicities or resistance, highlighting a need for further treatment option development. Conventional 2D models often lack the complexity of CLL to appropriately test new agents and promising therapies can lack translatability to patient disease. However, advanced 3D models are emerging that incorporate CLL microenvironment complexity. These human cell-based systems have the potential to replicate patient disease more faithfully and embed physiologically-relevant understanding at an early stage of the drug discovery and development process. AREAS COVERED: Herein, the authors discuss bioengineered human cell-based models that have and are being developed with ranging complexities which can be tuned to fit study requirements, from scaffold-free models (e.g. spheroids), to bioreactors that mimic blood circulation. These platforms offer the potential for both high-throughput drug screening and an enhanced understanding of CLL biology. Literature was retrieved from searches on Google Scholar. EXPERT OPINION: These bioengineered models collectively offer the potential to enhance drug discovery, minimize attrition in the development pathway and bridge the translational gap. This can ultimately facilitate a more efficient translation of effective treatments toward the clinic.

Expert Opinion on Drug Discovery
Gartnavel General Hospital (GB), University of Glasgow (GB)
Good health and well-being
Openalex Percentile: Top 12%
Chronic Lymphocytic Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Lymph node models of chronic lymphocytic leukemia for translational evaluation of new drug candidates — Hannah Donnelly, Alison M. Michie, et al. · Expert Opinion on Drug Discovery (2026) | TGRS Research Map | TGRS