A tissue biomarker panel predicting systemic progression after PSA recurrence post-definitive prostate cancer therapy.
BACKGROUND
Many men develop a rising PSA after initial therapy for prostate cancer. While some of these men will develop a local or metastatic recurrence that warrants further therapy, others will have no evidence of disease progression. We hypothesized that an expression biomarker panel can predict which men with a rising PSA would benefit from further therapy.


RESULTS
A case-control design was used to test the association of gene expression with outcome. Systemic (SYS) progression cases were men post-prostatectomy who developed systemic progression within 5 years after PSA recurrence. PSA progression controls were matched men post-prostatectomy with PSA recurrence but no evidence of clinical progression within 5 years. Using expression arrays optimized for paraffin-embedded tissue RNA, 1021 cancer-related genes were evaluated-including 570 genes implicated in prostate cancer progression. Genes from 8 previously reported marker panels were included. A systemic progression model containing 17 genes was developed. This model generated an AUC of 0.88 (95% CI: 0.84-0.92). Similar AUCs were generated using 3 previously reported panels. In secondary analyses, the model predicted the endpoints of prostate cancer death (in SYS cases) and systemic progression beyond 5 years (in PSA controls) with hazard ratios 2.5 and 4.7, respectively (log-rank p-values of 0.0007 and 0.0005). Genes mapped to 8q24 were significantly enriched in the model.


CONCLUSIONS
Specific gene expression patterns are significantly associated with systemic progression after PSA recurrence. The measurement of gene expression pattern may be useful for determining which men may benefit from additional therapy after PSA recurrence.
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America.
Tohru
T
Nakagawa
Thomas M
TM
Kollmeyer
Bruce W
BW
Morlan
S Keith
SK
Anderson
Eric J
EJ
Bergstralh
Brian J
BJ
Davis
Yan W
YW
Asmann
George G
GG
Klee
Karla V
KV
Ballman
Robert B
RB
Jenkins
D000368:Aged; D019540:Area Under Curve; D014408:Biomarkers, Tumor / Q000378:metabolism*; D016022:Case-Control Studies; D002898:Chromosomes, Human, Pair 8 / Q000235:genetics; D018450:Disease Progression; D018572:Disease-Free Survival; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D008875:Middle Aged; D008969:Molecular Sequence Data; D009362:Neoplasm Metastasis; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis / Q000295:instrumentation / Q000379:methods; D017430:Prostate-Specific Antigen / Q000235:genetics / Q000378:metabolism*; D011471:Prostatic Neoplasms / Q000378:metabolism* / Q000473:pathology* / Q000628:therapy; D011897:Random Allocation; D015203:Reproducibility of Results; D013223:Statistics as Topic
D014408:Biomarkers, Tumor; D017430:Prostate-Specific Antigen