Development and characterization of a doxorubicin-resistant triple-negative breast cancer spheroid model for drug screening purposes

µg/µg protein) over a 96-h treatment period. A chemotherapeutic responsive MDA-MB 231 TNBC spheroid model was successfully developed and characterized. The spheroid model demonstrated sensitivity towards a clinical dose of cisplatin, whilst displaying resistance to a clinical dose of doxorubicin, based on the viability parameters.

Authors

Institutions

Publication Details

Journal
Biomedicine & Pharmacotherapy
Published
2026-09-16
DOI
https://doi.org/10.1016/j.biopha.2026.119933
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Development and characterization of a doxorubicin-resistant triple-negative breast cancer spheroid model for drug screening purposes

Beynon Abrahams, Chrisna Gouws, Alandi van Niekerk, Mamello Sekhoacha et al.
Biomedicine & Pharmacotherapy
Breast Cancer Treatment Studies
article

Development and characterization of a doxorubicin-resistant triple-negative breast cancer spheroid model for drug screening purposes

Beynon Abrahams, Chrisna Gouws, Alandi van Niekerk, Mamello Sekhoacha, Viwe Fokazi
article en

Abstract

µg/µg protein) over a 96-h treatment period. A chemotherapeutic responsive MDA-MB 231 TNBC spheroid model was successfully developed and characterized. The spheroid model demonstrated sensitivity towards a clinical dose of cisplatin, whilst displaying resistance to a clinical dose of doxorubicin, based on the viability parameters.

Biomedicine & PharmacotherapyVol. 204
University of the Free State (ZA), North-West University (ZA)
Good health and well-being
Openalex Percentile: Top 15%
Breast Cancer Treatment Studies
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.