TY - JOUR
T1 - Characterization of Hormone Receptor and HER2 Status in Breast Cancer Using Mass Spectrometry Imaging
AU - Gonçalves, Juliana Pereira Lopes
AU - Bollwein, Christine
AU - Noske, Aurelia
AU - Jacob, Anne
AU - Jank, Paul
AU - Loibl, Sibylle
AU - Nekljudova, Valentina
AU - Fasching, Peter A.
AU - Karn, Thomas
AU - Marmé, Frederik
AU - Müller, Volkmar
AU - Schem, Christian
AU - Sinn, Bruno Valentin
AU - Stickeler, Elmar
AU - van Mackelenbergh, Marion
AU - Schmitt, Wolfgang D.
AU - Denkert, Carsten
AU - Weichert, Wilko
AU - Schwamborn, Kristina
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/2
Y1 - 2023/2
N2 - Immunohistochemical evaluation of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 status stratify the different subtypes of breast cancer and define the treatment course. Triple-negative breast cancer (TNBC), which does not register receptor overexpression, is often associated with worse patient prognosis. Mass spectrometry imaging transcribes the molecular content of tissue specimens without requiring additional tags or preliminary analysis of the samples, being therefore an excellent methodology for an unbiased determination of tissue constituents, in particular tumor markers. In this study, the proteomic content of 1191 human breast cancer samples was characterized by mass spectrometry imaging and the epithelial regions were employed to train and test machine-learning models to characterize the individual receptor status and to classify TNBC. The classification models presented yielded high accuracies for estrogen and progesterone receptors and over 95% accuracy for classification of TNBC. Analysis of the molecular features revealed that vimentin overexpression is associated with TNBC, supported by immunohistochemistry validation, revealing a new potential target for diagnosis and treatment.
AB - Immunohistochemical evaluation of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 status stratify the different subtypes of breast cancer and define the treatment course. Triple-negative breast cancer (TNBC), which does not register receptor overexpression, is often associated with worse patient prognosis. Mass spectrometry imaging transcribes the molecular content of tissue specimens without requiring additional tags or preliminary analysis of the samples, being therefore an excellent methodology for an unbiased determination of tissue constituents, in particular tumor markers. In this study, the proteomic content of 1191 human breast cancer samples was characterized by mass spectrometry imaging and the epithelial regions were employed to train and test machine-learning models to characterize the individual receptor status and to classify TNBC. The classification models presented yielded high accuracies for estrogen and progesterone receptors and over 95% accuracy for classification of TNBC. Analysis of the molecular features revealed that vimentin overexpression is associated with TNBC, supported by immunohistochemistry validation, revealing a new potential target for diagnosis and treatment.
KW - breast cancer
KW - histopathology
KW - mass spectrometry imaging
KW - proteomics
KW - tissue typing
UR - http://www.scopus.com/inward/record.url?scp=85147892475&partnerID=8YFLogxK
U2 - 10.3390/ijms24032860
DO - 10.3390/ijms24032860
M3 - Article
C2 - 36769215
AN - SCOPUS:85147892475
SN - 1661-6596
VL - 24
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 3
M1 - 2860
ER -