Serrate RNA Effector Molecule (SRRT) Is Associated with Prostate Cancer Progression and Is a Predictor of Poor Prognosis in Lethal Prostate Cancer.
Yaser GamallatMuhammad ChoudhryQiaowang LiJon George RokneReda AlhajjRamy AbdelsalamSunita GhoshJaron ArbetPaul C BoutrosTarek A BismarPublished in: Cancers (2023)
Arsenite-resistance protein 2, also known as serrate RNA effector molecule (ARS2/SRRT), is known to be involved in cellular proliferation and tumorigenicity. However, its role in prostate cancer (PCa) has not yet been established. We investigated the potential role of SRRT in 496 prostate samples including benign, incidental, advanced, and castrate-resistant patients treated by androgen deprivation therapy (ADT). We also explored the association of SRRT with common genetic aberrations in lethal PCa using immunohistochemistry (IHC) and performed a detailed analysis of SRRT expression using The Cancer Genome Atlas (TCGA PRAD) by utilizing RNA-seq, clinical information (pathological T category and pathological Gleason score). Our findings indicated that high SRRT expression was significantly associated with poor overall survival (OS) and cause-specific survival (CSS). SRRT expression was also significantly associated with common genomic aberrations in lethal PCa such as PTEN loss, ERG gain, mutant TP53, or ATM. Furthermore, TCGA PRAD data revealed that high SRRT mRNA expression was significantly associated with higher Gleason scores, PSA levels, and T pathological categories. Gene set enrichment analysis (GSEA) of RNAseq data from the TCGA PRAD cohort indicated that SRRT may play a potential role in regulating the expression of genes involved in prostate cancer aggressiveness. Conclusion: The current data identify the SRRT's potential role as a prognostic for lethal PCa, and further research is required to investigate its potential as a therapeutic target.
Keyphrases
- prostate cancer
- poor prognosis
- radical prostatectomy
- long non coding rna
- rna seq
- single cell
- copy number
- binding protein
- electronic health record
- dendritic cells
- healthcare
- machine learning
- dna damage
- squamous cell carcinoma
- dna repair
- smoking cessation
- signaling pathway
- oxidative stress
- mesenchymal stem cells
- risk assessment
- artificial intelligence
- dna methylation
- papillary thyroid
- immune response
- mass spectrometry
- protein protein
- atomic force microscopy
- dna damage response