0000000000548354
AUTHOR
Joyce Y. Buikhuisen
showing 7 related works from this author
AKT3 Expression in Mesenchymal Colorectal Cancer Cells Drives Growth and Is Associated with Epithelial-Mesenchymal Transition
2021
Simple Summary Colorectal cancer can be subdivided into four distinct subtypes that are characterised by different clinical features and responses to therapies currently used in the clinic to treat this disease. One of those subtypes, called CMS4, is associated with a worse prognosis and poor response to therapies compared to other subtypes. We therefore set out to explore what proteins are differentially expressed and used in CMS4 to find potential new targets for therapy. We found that protein AKT3 is highly expressed in CMS4, and that active AKT3 inhibits a protein that stalls growth of cancer cells (p27KIP1). We can target AKT3 with inhibitors which leads to strongly reduced growth of c…
Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer
2023
Abstract Background Colorectal cancer (CRC) can be divided into four consensus molecular subtypes (CMS), each with distinct biological features. CMS4 is associated with epithelial-mesenchymal transition and stromal infiltration (Guinney et al., Nat Med 21:1350–6, 2015; Linnekamp et al., Cell Death Differ 25:616–33, 2018), whereas clinically it is characterized by lower responses to adjuvant therapy, higher incidence of metastatic spreading and hence dismal prognosis (Buikhuisen et al., Oncogenesis 9:66, 2020). Methods To understand the biology of the mesenchymal subtype and unveil specific vulnerabilities, a large CRISPR-Cas9 drop-out screen was performed on 14 subtyped CRC cell lines to un…
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models
2018
Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called consensus molecular subtypes (CMS1-4), each of which has a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the prese…
Additional file 1 of Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer
2023
Additional file 1: Supplementary Fig. S1. Validation of PAK2 as an essential kinase for CMS4 cell lines. A, PAK1–3 mRNA expression levels in a panel of 28 CRC cell lines, also including those used for the drop-out screen, as determined by quantitative PCR. Of note: diamond for PAK3 located on x-axis indicates no mRNA could be detected in this sample. B, C, 2Log mRNA expression levels of PAK4–6 in CRC cell lines (B) and tumors (C), determined by microarray or RNA sequencing. D, Western blot for PAK1 protein expression in HT55 & SW948 (CMS2) and HuTu-80 & MDST8 (CMS4). 2,2,2-Trichloroethanol (2,2,2TCE) signal (excerpt taken around 60 kDa region) indicates amount of protein loaded per …
Additional file 10 of Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer
2023
Additional file 10. Full Western blot membrane images represented in the manuscript.
Additional file 8 of Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer
2023
Additional file 8: Table S1. Raw normalized sgRNA counts per sample per cell line of the CRISPR-Cas9 drop-out screen performed.
Additional file 9 of Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer
2023
Additional file 9: Table S2. Results from analysis of CRISPR-Cas9 drop-out screen representing the fold change within each replicate of sgRNA counts between t1 and t0.