Patterns of gene expression characterize T1 and T3 clear cell renal cell carcinoma subtypes.
Agnieszka M BorysMichał SewerynTomasz GołąbekŁukasz BełchAgnieszka KlimkowskaJustyna Totoń-ŻurańskaJulita MachlowskaPiotr ChłostaKrzysztof OkonPawel P WolkowPublished in: PloS one (2019)
Renal carcinoma is the 20th most common cancer worldwide. Clear cell renal cell carcinoma is the most frequent type of renal cancer. Even in patients diagnosed at an early stage, characteristics of disease progression remain heterogeneous. Up-to-date molecular classifications stratify the ccRCC samples into two clusters. We analyzed gene expression in 23 T1 or T3 ccRCC samples. Unsupervised clustering divided this group into three clusters, two of them contained pure T1 or T3 samples while one contained a mixed group. We defined a group of 36 genes that discriminate the mixed cluster. This gene set could be associated with tumor classification into a higher stage and it contained significant number of genes coding for molecular transporters, channel and transmembrane proteins. External data from TCGA used to test our findings confirmed that the expression levels of those 36 genes varied significantly between T1 and T3 tumors. In conclusion, we found a clustering pattern of gene expression, informative for heterogeneity among T1 and T3 tumors of clear cell renal cell carcinoma.
Keyphrases
- gene expression
- genome wide
- dna methylation
- genome wide identification
- early stage
- papillary thyroid
- single cell
- end stage renal disease
- machine learning
- squamous cell
- genome wide analysis
- newly diagnosed
- rna seq
- poor prognosis
- bioinformatics analysis
- chronic kidney disease
- peritoneal dialysis
- electronic health record
- deep learning
- squamous cell carcinoma
- single molecule
- transcription factor
- patient reported outcomes
- radiation therapy
- big data
- sentinel lymph node
- patient reported