Single-cell protein profiling defines cell populations
associated with triple-negative breast cancer aggressiveness

J 2023

Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness

KVOKAČKOVÁ, Barbora, Radek FEDR, Daniela KUŽÍLKOVÁ, Jan STUCHLÝ, Adéla VÁVROVÁ et. al.

Basic information

Original name

Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness

Authors

KVOKAČKOVÁ, Barbora (703 Slovakia, belonging to the institution), Radek FEDR, Daniela KUŽÍLKOVÁ, Jan STUCHLÝ, Adéla VÁVROVÁ, Jiří NAVRÁTIL, Pavel FABIAN, Róbert ONDRUŠŠEK, Petra OVESNÁ (203 Czech Republic, belonging to the institution), Ján REMŠÍK, Jan BOUCHAL, Tomáš KALINA and Karel SOUČEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Molecular Oncology, Wiley, 2023, 1574-7891

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30204 Oncology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 6.600 in 2022

RIV identification code

RIV/00216224:14310/23:00130413

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1002/1878-0261.13365

UT WoS

000926769000001

Keywords in English

mass cytometry; phenotypic plasticity;single-cell profiles; triple-negative breastcancer; tumor heterogeneity; unsupervisedmachine learning algorithm

Abstract

V originále

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.

Links

EF16_025/0007381, research and development project

Name: Preklinická progrese nových organických sloučenin s cílenou biologickou aktivitou

Citovat

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.

@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.

Detailed Information on Publication Record