RAB31 drives extracellular vesicle fusion and cancer-associated fibroblast formation leading to oxaliplatin resistance in colorectal cancer.
Yu-Chan ChangYi-Fang YangChien-Hsiu LiMing-Hsien ChanMeng-Lun LuMing-Huang ChenChi-Long ChenMichael HsiaoPublished in: Journal of extracellular biology (2024)
Epithelial-mesenchymal transition (EMT) is associated with tumorigenesis and drug resistance. The Rab superfamily of small G-proteins plays a role in regulating cell cytoskeleton and vesicle transport. However, it is not yet clear how the Rab family contributes to cancer progression by participating in EMT. By analysing various in silico datasets, we identified a statistically significant increase in RAB31 expression in the oxaliplatin-resistant group compared to that in the parental or other chemotherapy drug groups. Our findings highlight RAB31's powerful effect on colorectal cancer cell lines when compared with other family members. In a study that analysed multiple online meta-databases, RAB31 RNA levels were continually detected in colorectal tissue arrays. Additionally, RAB31 protein levels were correlated with various clinical parameters in clinical databases and were associated with negative prognoses for patients. RAB31 expression levels in all three probes were calculated using a computer algorithm and were found to be positively correlated with EMT scores. The expression of the epithelial-type marker CDH1 was suppressed in RAB31 overexpression models, whereas the expression of the mesenchymal-type markers SNAI1 and SNAI2 increased. Notably, RAB31 -induced EMT and drug resistance are dependent on extracellular vesicle (EV) secretion. Interactome analysis confirmed that RAB31 /AGR2 axis-mediated exocytosis was responsible for maintaining colorectal cell resistance to oxaliplatin. Our study concluded that RAB31 alters the sensitivity of oxaliplatin, a supplementary chemotherapy approach, and is an independent prognostic factor that can be used in the treatment of colorectal cancer.
Keyphrases
- epithelial mesenchymal transition
- poor prognosis
- prognostic factors
- stem cells
- single cell
- binding protein
- end stage renal disease
- machine learning
- long non coding rna
- bone marrow
- oxidative stress
- healthcare
- squamous cell carcinoma
- ejection fraction
- deep learning
- social media
- drug induced
- high glucose
- endothelial cells
- electronic health record
- protein protein
- single molecule
- molecular docking
- locally advanced
- chemotherapy induced
- smoking cessation
- photodynamic therapy
- rectal cancer
- rna seq
- high density
- data analysis