| KVOKAČKOVÁ, Barbora, Radek FEDR, Daniela KUŽÍLKOVÁ, Jan STUCHLÝ, Adéla VÁVROVÁ, Jiří NAVRÁTIL, Pavel FABIAN, Róbert ONDRUŠŠEK, Petra OVESNÁ, Ján REMŠÍK, Jan BOUCHAL, Tomáš KALINA and Karel SOUČEK. Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness. Molecular Oncology. Wiley, 2023, vol. 17, No 6, p. 1024-1040. ISSN 1574-7891. Available from: https://dx.doi.org/10.1002/1878-0261.13365. |
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@article{2264497,
author = {Kvokačková, Barbora and Fedr, Radek and Kužílková, Daniela and Stuchlý, Jan and Vávrová, Adéla and Navrátil, Jiří and Fabian, Pavel and Ondruššek, Róbert and Ovesná, Petra and Remšík, Ján and Bouchal, Jan and Kalina, Tomáš and Souček, Karel},
article_number = {6},
doi = {http://dx.doi.org/10.1002/1878-0261.13365},
keywords = {mass cytometry; phenotypic plasticity;single-cell profiles; triple-negative breastcancer; tumor heterogeneity; unsupervisedmachine learning algorithm},
language = {eng},
issn = {1574-7891},
journal = {Molecular Oncology},
title = {Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness},
url = {https://doi.org/10.1002/1878-0261.13365},
volume = {17},
year = {2023}
}
TY - JOUR
ID - 2264497
AU - Kvokačková, Barbora - Fedr, Radek - Kužílková, Daniela - Stuchlý, Jan - Vávrová, Adéla - Navrátil, Jiří - Fabian, Pavel - Ondruššek, Róbert - Ovesná, Petra - Remšík, Ján - Bouchal, Jan - Kalina, Tomáš - Souček, Karel
PY - 2023
TI - Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness
JF - Molecular Oncology
VL - 17
IS - 6
SP - 1024-1040
EP - 1024-1040
PB - Wiley
SN - 15747891
KW - mass cytometry
KW - phenotypic plasticity;single-cell profiles
KW - triple-negative breastcancer
KW - tumor heterogeneity
KW - unsupervisedmachine learning algorithm
UR - https://doi.org/10.1002/1878-0261.13365
N2 - Triple-negative breast cancer (TNBC) is an aggressive and complex subtype of breast cancer that lacks targeted therapy. TNBC manifests characteristic, extensive intratumoral heterogeneity that promotes disease progression and influences drug response. Single-cell techniques in combination with next-generation computation provide an unprecedented opportunity to identify molecular events with therapeutic potential. Here, we describe the generation of a comprehensive mass cytometry panel for multiparametric detection of 23 phenotypic markers and 13 signaling molecules. This single-cell proteomic approach allowed us to explore the landscape of TNBC heterogeneity, with particular emphasis on the tumor microenvironment. We prospectively profiled freshly resected tumors from 26 TNBC patients. These tumors contained phenotypically distinct subpopulations of cancer and stromal cells that were associated with the patient's clinical status at the time of surgery. We further classified the epithelial-mesenchymal plasticity of tumor cells, and molecularly defined phenotypically diverse populations of tumor-associated stroma. Furthermore, in a retrospective tissue-microarray TNBC cohort, we showed that the level of CD97 at the time of surgery has prognostic potential.
ER -
KVOKAČKOVÁ, Barbora, Radek FEDR, Daniela KUŽÍLKOVÁ, Jan STUCHLÝ, Adéla VÁVROVÁ, Jiří NAVRÁTIL, Pavel FABIAN, Róbert ONDRUŠŠEK, Petra OVESNÁ, Ján REMŠÍK, Jan BOUCHAL, Tomáš KALINA and Karel SOUČEK. Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness. \textit{Molecular Oncology}. Wiley, 2023, vol.~17, No~6, p.~1024-1040. ISSN~1574-7891. Available from: https://dx.doi.org/10.1002/1878-0261.13365.
|
