Expressed prognostic biomarkers for primary prostate cancer independent of multifocality and transcriptome heterogeneity.
Jonas M StrømmeBjarne JohannessenSusanne G KiddMari BogaardKristina T CarmXiaokang ZhangAnita SveenAnthony MathelierRagnhild A LotheUlrika AxcronaKarol AxcronaRolf I SkotheimPublished in: Cancer gene therapy (2022)
The majority of prostate cancer patients are diagnosed with multiple primary malignant foci. The distinct foci are exceptionally heterogeneous with regard to DNA mutations, but whether this is recapitulated at the transcriptome level remains unknown. In this study, inter- and intrafocal heterogeneity has been assessed by whole-transcriptome sequencing of 87 tissue samples from 23 patients with localized prostate cancer treated with radical prostatectomy. From each patient, multiple samples were taken from one or more malignant foci, in addition to one sample from benign prostate tissue. Transcriptomic profiles of different malignant foci from the same patient showed a similar level of heterogeneity as tumors from different patients. This applies to expression of genes, fusion genes, and somatic mutations. Within-patient pair-wise analyses identified expression patterns linked to ETS status and extraprostatic extension. A set of 62 genes were found with low intrapatient heterogeneity and high interpatient heterogeneity, retaining stable expression profiles across foci within the same patient. Among these, 16 genes are associated with biochemical recurrence in a separately published study and are therefore nominated as biomarkers with prognostic value regardless of which malignant focus is sampled. In conclusion, an extensive heterogeneity in multifocal prostate cancer is confirmed at the gene expression level. Diagnostic biomarkers were identified for ETS positive samples and samples from extraprostatic extensions. Finally, prognostic biomarkers independent of multifocal heterogeneity were found.
Keyphrases
- prostate cancer
- single cell
- radical prostatectomy
- rna seq
- genome wide
- gene expression
- case report
- poor prognosis
- transcription factor
- end stage renal disease
- dna methylation
- newly diagnosed
- bioinformatics analysis
- genome wide identification
- systematic review
- chronic kidney disease
- ejection fraction
- prognostic factors
- peritoneal dialysis
- cell free
- circulating tumor
- copy number
- single molecule