Loss of Neuropilin-2 in Murine Mesenchymal-like Colon Cancer Organoids Causes Mesenchymal-to-Epithelial Transition and an Acquired Dependency on Insulin-Receptor Signaling and Autophagy.
Susanna PoghosyanNicola FrenkelAristeidis LentzasJamila LaoukiliInne Borel RinkesOnno W KranenburgJeroen HagendoornPublished in: Cancers (2022)
Neuropilin-2 (Nrp2), an important regulator of lymphangiogenesis and lymphatic metastasis, has been associated with progression in colorectal cancer (CRC). However, the tumor cell-intrinsic role of Nrp2 in cancer progression is incompletely understood. To address this question, we employed CRISPR-Cas9 technology to generate Nrp2-knockout organoids derived from murine CRC tumors with a mesenchymal phenotype. Transcriptome profiling and tumor tissue analysis showed that Nrp2 loss resulted in mesenchymal-to-epithelial transition (MET), which was accompanied with restored polarity and tight junction stabilization. Signaling pathway analysis revealed that Nrp2-knockout organoids acquire de novo dependency on insulin receptor (IR) signaling and autophagy as alternative survival mechanisms. Combined inhibition of IR signaling and autophagy prevented the stabilization of cell-cell junctions, reduced metabolic activity, and caused profound cell death in Nrp2-knockout organoids. Collectively, the data demonstrate a key role for Nrp2 in maintaining the aggressive phenotype and survival of tumor-derived CRC organoids. The identified connection between Nrp2, insulin receptor signaling and autophagy may guide the development of novel combination-treatment strategies for aggressive CRC.
Keyphrases
- cell death
- single cell
- signaling pathway
- type diabetes
- bone marrow
- stem cells
- endoplasmic reticulum stress
- crispr cas
- oxidative stress
- rna seq
- cell therapy
- gene expression
- induced apoptosis
- transcription factor
- cell cycle arrest
- epithelial mesenchymal transition
- genome editing
- mesenchymal stem cells
- lymph node
- blood brain barrier
- metabolic syndrome
- dna methylation
- intellectual disability
- artificial intelligence
- deep learning
- squamous cell