Histopathological biomarkers for predicting the tumour accumulation of nanomedicines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389013%3A_____%2F24%3A00601920" target="_blank" >RIV/61389013:_____/24:00601920 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41551-024-01197-4" target="_blank" >https://www.nature.com/articles/s41551-024-01197-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41551-024-01197-4" target="_blank" >10.1038/s41551-024-01197-4</a>
Alternative languages
Result language
angličtina
Original language name
Histopathological biomarkers for predicting the tumour accumulation of nanomedicines
Original language description
The clinical prospects of cancer nanomedicines depend on effective patient stratification. Here we report the identification of predictive biomarkers of the accumulation of nanomedicines in tumour tissue. By using supervised machine learning on data of the accumulation of nanomedicines in tumour models in mice, we identified the densities of blood vessels and of tumour-associated macrophages as key predictive features. On the basis of these two features, we derived a biomarker score correlating with the concentration of liposomal doxorubicin in tumours and validated it in three syngeneic tumour models in immunocompetent mice and in four cell-line-derived and six patient-derived tumour xenografts in mice. The score effectively discriminated tumours according to the accumulation of nanomedicines (high versus low), with an area under the receiver operating characteristic curve of 0.91. Histopathological assessment of 30 tumour specimens from patients and of 28 corresponding primary tumour biopsies confirmed the score’s effectiveness in predicting the tumour accumulation of liposomal doxorubicin. Biomarkers of the tumour accumulation of nanomedicines may aid the stratification of patients in clinical trials of cancer nanomedicines.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10404 - Polymer science
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Biomedical Engineering
ISSN
2157-846X
e-ISSN
2157-846X
Volume of the periodical
8
Issue of the periodical within the volume
11
Country of publishing house
DE - GERMANY
Number of pages
13
Pages from-to
1366-1378
UT code for WoS article
001198545500001
EID of the result in the Scopus database
2-s2.0-85189884966