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An optimised patient-derived explant platform for breast cancer reflects clinical responses to chemotherapy and antibody-directed therapy.

Authors :
Demetriou, Constantinos
Abid, Naila
Butterworth, Michael
Lezina, Larissa
Sandhu, Pavandeep
Howells, Lynne
Powley, Ian R.
Pringle, James H.
Sidat, Zahirah
Qassid, Omar
Purnell, Dave
Kaushik, Monika
Duckworth, Kaitlin
Hartshorn, Helen
Thomas, Anne
Shaw, Jacqui A.
MacFarlane, Marion
Pritchard, Catrin
Miles, Gareth J.
Source :
Scientific Reports. 6/4/2024, Vol. 14 Issue 1, p1-17. 17p.
Publication Year :
2024

Abstract

Breast Cancer is the most common cancer among women globally. Despite significant improvements in overall survival, many tumours are refractory to therapy and so novel approaches are required to improve patient outcomes. We have evaluated patient-derived explants (PDEs) as a novel preclinical platform for breast cancer (BC) and implemented cutting-edge digital pathology and multi-immunofluorescent approaches for investigating biomarker changes in both tumour and stromal areas at endpoint. Short-term culture of intact fragments of BCs as PDEs retained an intact immune microenvironment, and tumour architecture was augmented by the inclusion of autologous serum in the culture media. Cell death/proliferation responses to FET chemotherapy in BC-PDEs correlated significantly with BC patient progression-free survival (p = 0.012 and p = 0.0041, respectively) and cell death responses to the HER2 antibody therapy trastuzumab correlated significantly with HER2 status (p = 0.018). These studies show that the PDE platform combined with digital pathology is a robust preclinical approach for informing clinical responses to chemotherapy and antibody-directed therapies in breast cancer. Furthermore, since BC-PDEs retain an intact tumour architecture over the short-term, they facilitate the preclinical testing of anti-cancer agents targeting the tumour microenvironment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
177674322
Full Text :
https://doi.org/10.1038/s41598-024-63170-0