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RNAseq Analysis of FFPE Radical Prostatectomy Specimens Identifies Predictors of Biochemical Recurrence
Author(s) -
Moreno Carlos Sanchez,
Long Qi,
Sannigrahi Soma,
Xu Jianpeng,
Johnson Brent A,
Zhou Wei,
Nam Robert K,
Seth Arun,
Gillespie Theresa W,
Osunkoya Adeboye O,
Petros John A
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.471.8
Subject(s) - prostatectomy , biochemical recurrence , prostate cancer , oncology , receiver operating characteristic , medicine , breakpoint cluster region , urology , cancer , receptor
To identify effective predictors of recurrence following radical prostatectomy, RNAseq libraries were prepared from RNA derived from 71 Formalin Fixed Paraffin Embedded (FFPE) prostatectomy samples from two institutions, and high‐throughput sequencing was performed on an Illumina HiSeq2000 instrument. Subjects were divided into high and low risk groups based on the optimal predictive score cutoff from ROC analysis, and we performed log rank test to compare biochemical recurrence (BCR) between the two risk groups. For the 70 samples analyzed, clinical variables alone were highly predictive of recurrence (log‐rank test p=2.55e‐04); however the panel of 11 genes from the RNAseq analysis outperformed clinical variables alone (log rank test p=1.82e‐13). Prediction using this model achieved an ROC AUC of 0.959 with 85% sensitivity and 97% specificity. This set of RNA biomarkers may be useful in the prediction of BCR following radical prostatectomy, irrespective of stage, grade, race, or pre‐operative PSA. Patients with tumors having increased expression of these markers may benefit from close follow‐up after surgery. Research supported by DOD IDEA Award W81XWH‐010–1‐0090.