Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F19%3A00078216" target="_blank" >RIV/00209805:_____/19:00078216 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/19:00107609
Result on the web
<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656695/" target="_blank" >https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656695/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.celrep.2019.06.046" target="_blank" >10.1016/j.celrep.2019.06.046</a>

Result language
angličtina
Original language name
Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry
Original language description
Accurate classification of breast tumors is vital for patient management decisions and enables more precise cancer treatment. Here, we present a quantitative proteotyping approach based on sequential windowed acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry and establish key proteins for breast tumor classification. The study is based on 96 tissue samples representing five conventional breast cancer subtypes. SWATH proteotype patterns largely recapitulate these subtypes; however, they also reveal varying heterogeneity within the conventional subtypes, with triple negative tumors being the most heterogeneous. Proteins that contribute most strongly to the proteotypebased classification include INPP4B, CDK1, and ERBB2 and are associated with estrogen receptor (ER) status, tumor grade status, and HER2 status. Although these three key proteins exhibit high levels of correlation with transcript levels (R > 0.67), general correlation did not exceed R = 0.29, indicating the value of protein-level measurements of diseaseregulated genes. Overall, this study highlights how cancer tissue proteotyping can lead to more accurate patient stratification.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30204 - Oncology

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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