Transgelin Contributes to a Poor Response of Metastatic Renal Cell Carcinoma to Sunitinib Treatment.
Pavla BouchalovaJindrich BeranekPetr LapcikDavid PotesilJan PodhorecAlexandr PoprachPavla BouchalovaPublished in: Biomedicines (2021)
Renal cell carcinoma (RCC) represents about 2-3% of all cancers with over 400,000 new cases per year. Sunitinib, a vascular endothelial growth factor tyrosine kinase receptor inhibitor, has been used mainly for first-line treatment of metastatic clear-cell RCC with good or intermediate prognosis. However, about one-third of metastatic RCC patients do not respond to sunitinib, leading to disease progression. Here, we aim to find and characterize proteins associated with poor sunitinib response in a pilot proteomics study. Sixteen RCC tumors from patients responding (8) vs. non-responding (8) to sunitinib 3 months after treatment initiation were analyzed using data-independent acquisition mass spectrometry, together with their adjacent non-cancerous tissues. Proteomics analysis quantified 1996 protein groups (FDR = 0.01) and revealed 27 proteins deregulated between tumors non-responding vs. responding to sunitinib, representing a pattern of deregulated proteins potentially contributing to sunitinib resistance. Gene set enrichment analysis showed an up-regulation of epithelial-to-mesenchymal transition with transgelin as one of the most significantly abundant proteins. Transgelin expression was silenced by CRISPR/Cas9 and RNA interference, and the cells with reduced transgelin level exhibited significantly slower proliferation. Our data indicate that transgelin is an essential protein supporting RCC cell proliferation, which could contribute to intrinsic sunitinib resistance.
Keyphrases
- renal cell carcinoma
- metastatic renal cell carcinoma
- mass spectrometry
- end stage renal disease
- tyrosine kinase
- cell proliferation
- vascular endothelial growth factor
- crispr cas
- ejection fraction
- small cell lung cancer
- squamous cell carcinoma
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- liquid chromatography
- clinical trial
- small molecule
- genome editing
- electronic health record
- endothelial cells
- machine learning
- amino acid
- high performance liquid chromatography
- data analysis
- copy number
- young adults
- dna methylation
- ms ms
- high resolution
- cell cycle arrest
- deep learning
- endoplasmic reticulum stress
- artificial intelligence
- study protocol
- label free
- oxidative stress
- patient reported
- simultaneous determination