Browsing All Paterson Institute for Cancer Research by Authors
Standard Preanalytical Coding for Biospecimens: Review and Implementation of the Sample PREanalytical Code (SPREC)Lehmann, S; Guadagni, F; Moore, H; Ashton, Garry; Barnes, M; Benson, E; Clements, J; Koppandi, I; Coppola, D; Demiroglu, S; et al. (2012)
Temporal stability and prognostic biomarker potential of the prostate cancer urine transcriptomeJeon, J; Olkhov-Mitsel, E; Xie, H; Yao, CQ; Zhao, F; Jahangiri, S; Cuizon, C; Scarcello, S; Jeyapala, R; Watson, JD; et al. (2019)BACKGROUND: To provide rapid evaluation of patients with advanced urological malignancies, a joint urological-oncological clinic was initiated at our institution in January 2015. We present the first 3-year evaluation of this joint urological-oncological clinic in Switzerland. METHOD: We performed a retrospective analysis of the characteristics and treatment of all patients reviewed at the joint clinic between January 2015 and December 2017. Statistical analysis was performed by survival analysis. A patient satisfaction questionnaire was handed out to new patients (from April to September 2017). RESULTS: A total of 135 new patients were counseled in the joint clinic and 563 consultations were performed in the period from January 2015 to December 2017. The majority were men with prostate cancer (85%), followed by bladder cancer (9%), and renal cell carcinoma (4%). Men with newly diagnosed metastatic prostate cancer (n = 69) received ADT alone (57%), ADT with docetaxel or abiraterone (33%), and metastasis-directed therapy (10%). High rates of patient satisfaction were reported based on the questionnaire. CONCLUSIONS: The joint clinic model has been successfully implemented at our institution and continues on a weekly basis. The clinic is increasingly used, not only for newly diagnosed metastatic prostate cancer, but also for other complex uro-oncological cases. The clinic allows optimized oncological treatment without delay and with a reduced effort for patients.
Widespread and functional RNA circularization in localized prostate cancerChen, S; Huang, V; Xu, X; Livingstone, J; Soares, F; Jeon, J; Zeng, Y; Hua, JT; Petricca, J; Guo, H; et al. (2019)The cancer transcriptome is remarkably complex, including low-abundance transcripts, many not polyadenylated. To fully characterize the transcriptome of localized prostate cancer, we performed ultra-deep total RNA-seq on 144 tumors with rich clinical annotation. This revealed a linear transcriptomic subtype associated with the aggressive intraductal carcinoma sub-histology and a fusion profile that differentiates localized from metastatic disease. Analysis of back-splicing events showed widespread RNA circularization, with the average tumor expressing 7,232 circular RNAs (circRNAs). The degree of circRNA production was correlated to disease progression in multiple patient cohorts. Loss-of-function screening identified 11.3% of highly abundant circRNAs as essential for cell proliferation; for ?90% of these, their parental linear transcripts were not essential. Individual circRNAs can have distinct functions, with circCSNK1G3 promoting cell growth by interacting with miR-181. These data advocate for adoption of ultra-deep RNA-seq without poly-A selection to interrogate both linear and circular transcriptomes.