Multi-omics integration identifies a selective vulnerability of colorectal cancer subtypes to YM155.
Tianzuo ZhanVerena FaehlingBenedikt RauscherJohannes BetgeMatthias P EbertMichael BoutrosPublished in: International journal of cancer (2020)
Tumor heterogeneity is a major challenge to the treatment of colorectal cancer (CRC). Recently, a transcriptome-based classification was developed, segregating CRC into four consensus molecular subtypes (CMS) with distinct biological and clinical characteristics. Here, we applied the CMS classification on CRC cell lines to identify novel subtype-specific drug vulnerabilities. We combined publicly available transcriptome data from multiple resources to assign 157 CRC cell lines to CMS. By integrating results from large-scale drug screens, we discovered that the CMS1 subtype is highly vulnerable to the BIRC5 suppressor YM155. We confirmed our results using an independent panel of CRC cell lines and demonstrated a 100-fold higher sensitivity of CMS1. This vulnerability was specific to YM155 and not observed for commonly used chemotherapeutic agents. In CMS1 CRC, low concentrations of YM155 induced apoptosis and expression signatures associated with ER stress-mediated apoptosis signaling. Using a genome-wide CRISPR/Cas9 screen, we further discovered a novel role of genes involved in LDL-receptor trafficking as modulators of YM155 sensitivity in the CRC cell line HCT116. Our work shows that combining drug response data with CMS classification in cell lines can reveal selective vulnerabilities and proposes YM155 as a novel subtype-specific drug.
Keyphrases
- genome wide
- single cell
- dna methylation
- induced apoptosis
- machine learning
- crispr cas
- deep learning
- copy number
- high throughput
- climate change
- rna seq
- endoplasmic reticulum stress
- gene expression
- adverse drug
- genome editing
- electronic health record
- emergency department
- signaling pathway
- oxidative stress
- single molecule
- long non coding rna
- replacement therapy