Forward genetic screening in engineered colorectal cancer organoids identifies novel regulators of metastasis
Cramer, Z.; Wang, X.; Leu, N. A.; Monaghan, K.; Rhoades, J. H.; Tian, Y.; Rico, J.; Mendez, D.; Petroni, R.; Kim, M. S.; Matsuda, R.; Carrera, M. F.; Brodsky, I. E.; Li, N.; Lengner, C. J.; Blanco, M. A.
Show abstract
Cancer is the second leading cause of death globally, due primarily to metastatic dissemination and colonization of distal sites. Recurrent genetic drivers of metastasis are elusive, suggesting that, unlike the stereotyped mutations promoting primary tumor development, drivers of metastasis may be variable. Here, we interrogate pathways governing metastasis through CRISPR/Cas9-based forward genetic screening in a genetically defined colorectal adenocarcinoma tumor organoid (tumoroid) model using ex vivo invasion screens and orthotopic, in vivo screens for gain of metastatic potential. We identify Ctnna1 and Bcl2l13 as bona fide metastasis suppressors. CTNNA1 loss promotes carcinoma cell invasion and migration through an atypical EMT-like mechanism, whereas BCL2L13 loss promotes cell survival after extracellular matrix detachment and non-cell-autonomous macrophage polarization. Ultimately, this study provides a proof-of-principle that high-content forward genetic screening can be performed in tumor-organoid models in vivo and identifies novel regulators of colon cancer metastasis.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- In vivo CRISPR screens reveal Serpinb9 and Adam2 as regulators of immune therapy response in lung cancer 96%
- Reconstructing disease dynamics for mechanistic insights and clinical benefit 96%
- Epithelial-mesenchymal plasticity determines estrogen receptor positive (ER+) breast cancer dormancy and reacquisition of an epithelial state drives awakening 96%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.