Cell types or cell states? An investigation of adrenergic and mesenchymal cell phenotypes in neuroblastoma

Neuroblastoma exhibits two cellular phenotypes: therapy-sensitive adrenergic (ADRN) and therapy-resistant mesenchymal (MES). To understand treatment response, it is important to elucidate how these phenotypes impact the dynamics of cancer cell populations and whether they represent distinct cell types or dynamic cell states. Here, we use an integrated experimental and mathematical modeling approach. We experimentally measure the fractions of ADRN and MES phenotypes under baseline (untreated) conditions and under repeated treatment cycles. We develop evolutionary game theoretic models predicting how the populations would respond if ADRN and MES phenotypes (1) are distinct cell types or (2) represent dynamic cell states and fit these models to the experimental data. We find that, although cells may undergo an ADRN to MES phenotypic switch under treatment, the best-fit model sees ADRN and MES as distinct cell types. Differential proliferation and survival of these two cell types, and not cell-state switching, drive therapeutic response.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-11-19
DOI
https://doi.org/10.1016/j.isci.2024.111433
Citations
7
Primary Topic
Neuroblastoma Research and Treatments
Type
article
Field-Weighted Citation Impact
2.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cell types or cell states? An investigation of adrenergic and mesenchymal cell phenotypes in neuroblastoma

Emma U. Hammarlund, Anuraag Bukkuri, Sofie Mohlin, Marina S. Mazariegos et al.
7 citations
iScience
Neuroblastoma Research and Treatments
2.58
article

Cell types or cell states? An investigation of adrenergic and mesenchymal cell phenotypes in neuroblastoma

Emma U. Hammarlund, Anuraag Bukkuri, Sofie Mohlin, Marina S. Mazariegos, Stina Andersson, Joel S. Brown
article en
7 citations

Abstract

Neuroblastoma exhibits two cellular phenotypes: therapy-sensitive adrenergic (ADRN) and therapy-resistant mesenchymal (MES). To understand treatment response, it is important to elucidate how these phenotypes impact the dynamics of cancer cell populations and whether they represent distinct cell types or dynamic cell states. Here, we use an integrated experimental and mathematical modeling approach. We experimentally measure the fractions of ADRN and MES phenotypes under baseline (untreated) conditions and under repeated treatment cycles. We develop evolutionary game theoretic models predicting how the populations would respond if ADRN and MES phenotypes (1) are distinct cell types or (2) represent dynamic cell states and fit these models to the experimental data. We find that, although cells may undergo an ADRN to MES phenotypic switch under treatment, the best-fit model sees ADRN and MES as distinct cell types. Differential proliferation and survival of these two cell types, and not cell-state switching, drive therapeutic response.

iScienceVol. 27(12)
University of Pittsburgh (US), Lund University (SE), Moffitt Cancer Center (US)
National Science Foundation, Royal Swedish Academy of Sciences, Cancerfonden, Crafoordska Stiftelsen, Kungliga Fysiografiska Sällskapet i Lund, Magnus Bergvalls Stiftelse, Stiftelsen Längmanska Kulturfonden
Zero hunger
Openalex Percentile: Top 9%
Neuroblastoma Research and Treatments
2.58
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.

Cell types or cell states? An investigation of adrenergic and mesenchymal cell phenotypes in neuroblastoma — Emma U. Hammarlund, Anuraag Bukkuri, et al. · iScience (2024) | TGRS Research Map | TGRS