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PMID: 25699542 Published · epublish English

Targeting a cell state common to triple-negative breast cancers.

Molecular systems biology ·Vol. 11 ·No. 1 ·2016-09-30

Muellner Markus K, Mair Barbara, Ibrahim Yasir, Kerzendorfer Claudia, Lechtermann Hannelore, Trefzer Claudia, Klepsch Freya, Müller André C, Leitner Ernestine, Macho-Maschler Sabine, Superti-Furga Giulio, Bennett Keiryn L, Baselga José, Rix Uwe, Kubicek Stefan, Colinge Jacques, Serra Violeta, Nijman Sebastian M B

Abstract

Some mutations in cancer cells can be exploited for therapeutic intervention. However, for many cancer subtypes, including triple-negative breast cancer (TNBC), no frequently recurring aberrations could be identified to make such an approach clinically feasible. Characterized by a highly heterogeneous mutational landscape with few common features, many TNBCs cluster together based on their 'basal-like' transcriptional profiles. We therefore hypothesized that targeting TNBC cells on a systems level by exploiting the transcriptional cell state might be a viable strategy to find novel therapies for this highly aggressive disease. We performed a large-scale chemical genetic screen and identified a group of compounds related to the drug PKC412 (midostaurin). PKC412 induced apoptosis in a subset of TNBC cells enriched for the basal-like subtype and inhibited tumor growth in vivo. We employed a multi-omics approach and computational modeling to address the mechanism of action and identified spleen tyrosine kinase (SYK) as a novel and unexpected target in TNBC. Quantitative phosphoproteomics revealed that SYK inhibition abrogates signaling to STAT3, explaining the selectivity for basal-like breast cancer cells. This non-oncogene addiction suggests that chemical SYK inhibition may be beneficial for a specific subset of TNBC patients and demonstrates that targeting cell states could be a viable strategy to discover novel treatment strategies.

Keywords
breast cancer cell state small‐molecule screen
Article Info
Journal
Molecular systems biology
Abbr.
Mol Syst Biol
Published
2016-09-30
Indexed
2015-02-21
Updated
2016-11-25
Language
English
Country/Region
England
NLM ID
101235389
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