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Biomarkers for
Prostate Cancer
Eric Wallen, MD
Department of Urology
Disclosure
• MDxHealth Scientific Advisor
55-year-old man: Poor Guy
• Risk of prostate cancer? 1 in 6
• Risk of prostate cancer death? 1 in 40
• Risk of biopsy related complications 1 in 25
• If PSA elevated and biopsy (-), risk of repeat biopsy 1 in 2.5
• If biopsy negative, risk of missed cancer 1 in 4
• If diagnosed with NCCN low risk CaP,
risk of upgrading/staging at surgery? 1 in 4
• If surgery shows T3 disease, need for radiation? 1 in ?
• Wouldn’t it be great if there were some biomarkers that helped with
these questions?
• What is personalized medicine? • Customization of healthcare based on rational use of an
individual patient’s unique disease features
• What is a biomarker? • A measurable characteristic of the biology of a particular
disease state
– Tissue, blood, serum, urine, EPS, MRI (?)
Is there a need for biomarkers in
mgmt of prostate cancer?
• AUA guidelines 2007 and 2013 discuss in Research
and Future Directions section
– 2007—development of biomarkers of aggressiveness is
desirable
– 2013—many biomarkers, poor evidence
– Yes! We need more decision aids to
provide actionable guidance
• Still in evolution
Bench to bedside DNA, RNA, epigenetic
K. Chiam et al., Cancer Lett. (2012)
Where can biomarkers help?
1. When to biopsy
2. When to re-biopsy
3. When to treat
4. When to treat adjuvant
5. Assess therapeutic response
Where can biomarkers help?
1. When to biopsy
2. When to re-biopsy
3. When to treat
4. When to treat adjuvant
5. Assess therapeutic response
Date of download: 4/20/2014 Copyright © 2014 American Medical
Association. All rights reserved.
From: Operating Characteristics of Prostate-Specific Antigen in Men With
an Initial PSA Level of 3.0 ng/mL or Lower
JAMA. 2005;294(1):66-70. doi:10.1001/jama.294.1.66
AUC indicates area under the receiver operating characteristic curve.
Figure Legend:
Odds Ratios, While Attractive, Must Be Considered
When Evaluating These Tests
OR of 3 reclassifies 25% of results
When to Biopsy
(“screen smarter”)
• Goals: Decrease unnecessary biopsies
Decrease detection of low risk disease
• Currently: PSA, fPSA, PSAd, risk calculators
• Molecular Tests:
– Phi: Prostate Health Index (serum): PSA 2-10, nl DRE
– f/tPSA and proPSA formula generates a score (Clin Chem 2013)
– Multiparametric MRI with MRI fusion biopsies (Rastinehad, JU, 2014)
– OPKO 4K test (serum) incl PSA and hk2 to generate risk score for GS≥7
– eNose (urine) emission testing!
PHI
• Precursor forms of PSA elevated in PCa and measurable in
serum
• Formula includes tPSA and fPSA, as well as (-2)proPSA
• Screening pts with PSA 2.5-10 and nl DRE gives incr sens/spec
(64/63)
– Using cutoff of 35, 26% of biopsies could be avoided
– FDA approved for PSA 4-10
Le, JU, 2010
Lazzeri, BJU, 2013
Sokoll, Cancer Epi Bio Prev 2010
PHI ROC
MPMRI: Pre-biopsy
• Possibly selective detection of high grade lesions and
lower detection of low grade lesions in patients • Possibly a quantum leap
• However…
– Not standardized yet. 3T or 1.5T?
– Endorectal or not? Biopsy in bore, fusion, or cognitive?
– ***radiologist dependent***
– Costly
– Still has false negatives so is standard biopsy still warranted?
• Multi-institutional trials to come
Bjurlin, UCNA, 2014
Siddiiqui, Eur Urol, 2013
Marks, Curr Op Urol 2013
Wysock, Eur Urol, 2013
Albertsen, Jurol, 2013
OPKO 4K Test
• 4 kallikreins: tPSA, fPSA, iPSA, hk2 measured in serum and
used in nomogram with DRE and age to get probability score for
prostate cancer
• When used in serum from ERSCP prostatectomies, good
predictor of aggressive disease
• Prospective multi-institutional trial results presented by Daniel
Lin at AUA2014. AUC .82 for prediction of GS≥7
• Cost: $400, currently available Carlsson, EurUrol, 2013
Voigt, The Prostate, 2013
TMPRSS2-ERG
• ERG oncogene fusion with TMPRSS2 is an early change in
prostate cancer
• TMPRSS2-ERG fusion can be measured in urine post DRE
– High specificity, low sensitivity
• U Mich group reported at AUA2014 a large study of
T2ERG+PCA3+PSA that had AUC score of .73 in predicting
GS≥7
• Prob will seek FDA approval in combination with PCA3 for
screening
Leyten, Eur Urol, 2014
PCA3
(not approved for screening, but…)
• Post prostatic massage urine test for RNA that is elevated in PCa, score
generated
• Extensively studied, FDA approved for repeat bx only
– Most studies done are on patients already selected for biopsy (not
screening)
• Strength appears to be specificity (75%) not sensitivity (50%)
• Score correlates with increasing grade
• Better than PSA for all grades of PCa, equivalent for GS≥7
– Prob won’t be approved for screening (not selective for higher grade
prostate cancer) but more studies pending, incl combinations with other
biomarkers
Chevli, Jurol, 2014
PCA3 for Screening: No
Chevli, Jurol, 2014
Summary: Screening Smarter
• Use PCPT and/or ERSPC risk calculator
• Use online life expectancy calculator
• Consider molecular tests (PHI, 4K) but watch out for cost
• Consider MRI but you must have an experienced, trained
radiologist (cost too)
• Minimize infection risk of biopsy
Where can biomarkers help?
1. When to biopsy
2. When to re-biopsy
3. When to treat
4. When to treat adjuvant
5. Assess therapeutic response
Repeat Biopsy: The Numbers
• ≈1.3M biopsies/yr
• ≈1M are negative
• 43% repeat biopsy within 3 yr
• Biopsies carry risk – Infection
– Hospitalization
Pinsky, BJUI, 2007
Loeb, Jurol, 2011, 2014
Tests To Help Decision to Re-Biopsy
• PCA3 (urine after prostate massage)
• RNA overexpressed in Pca
• ConfirmMDx: Epigenetic Test on negative biopsy tissue
• MATLOC, DOCUMENT (JU, 2013, JU 2014)
• NPV 90%
• Assesses epigenetic changes for 3 genes
• Mitomics (mitochondrial DNA testing on negative biopsy tissue)
PCA3 for Rebiopsy
• FDA approved for cutoff= 25
• Sens/spec up to 90/50
• Can help guide decision to
rebiopsy
• May help avoid up to half of
repeat biopsies
Luo, Asian J Androl, 2014
Test detects an epigenetic field effect
with the “cancerization” process at the
DNA level
The field effect around the cancer
focus can be present despite the
normal micro appearance of cells
Detection of field effects extends the
coverage of the biopsy helping to rule
in, or rule out, occult cancers
Biopsy
Cancer
Field
Effect
ConfirmMDx: Epigenetic Changes Influence Gene
Expression Without Changing the Genome
ConfirmMDx clinical validation studies
• MATLOC and DOCUMENT
– Approx 500 patients who had 2 biopsies each
– All with negative first biopsy, biopsy tissue tested
– Approx 100 cancers seen on re-biopsy, NPV 90%
– Test identified 2/3 of these as positive, sensitivity/specificity 66%
– 1/3 of cancers Gleason >6
– Could also decrease repeat biopsies significantly
Stewart, JU, 2013
MPMRI for Rebiopsy
• Provides anatomic information
• Can help guide re-biopsy and detects PCa in up to 50% of pts
• MPMRI outperformed PCA3 and PHI in pts undergoing rebiopsy
• If MPMRI negative, repeat biopsy for ongoing concern yielded
very few significant cancers
• NICE (English cost-effectiveness guidelines group): Consider
pre-re-biopsy
• Intergroup study pending
– Needs to be done as techniques vary widely
Bjurlin, J Urol., 2014, UCNA 2014
Porpiglia, J Urol, 2014
Hong, Diag Interv Rad, 2014
Where can biomarkers help?
1. When to biopsy
2. When to re-biopsy
3. When to treat
4. When to treat adjuvant
5. Assess therapeutic response
Active Surveillance is Underutilized
31
Cooperberg MR et al. J Clin Oncol. 2010 Mar 1;28(7):1117-23.
No
. o
f p
ati
en
ts (
%)
CAPRA score: Increased score, increased risk
100
80
60
40
20
0 0 2 3 4 5 6 7 8 9 10 1
WW RP Brachy EBRT Cryo PADT
8.5 2.0 6.5 5.8 4.4 2.9 2.6 3.3
24.7 33.6
44.5 49.9
51.7 56.7
59.7
90.0
16.1 17.8
7.0
11.1
10.3
13.7 14.0
1.0
5.2 2.8 6.0
8.1
3.6
8.9
12.8
4.0
11.5
12.3
5.7
14.0
16.0
5.2
21.1
20.2
5.6
27.0
2.6 2.5 9.0
4.1
15.5
3.7
20.0
5.0
12.6
6.0
19.2
5.3
72.2 67.3
54.3
7.4
20.9
5.7
38.0
Aids in AS vs Treatment
• Prolaris: Cell cycle gene panel
• Oncotype DX: Mixed gene panel
• MPMPRI
Cuzick, Lancet Oncol 2011
Prolaris
• Application: Predict BCR, metastasis, and risk of death
– Measures panel of cell cycle genes, which are increased in more
aggressive disease
– Evaluated in prostatectomy specimens from pts with extended f/u, then
extended to prostate biopsy specimens
• AUA2014: 3 clinical validation studies
– Improves upon age, GS, stage
– Predicts metastasis
• Improved dataset, not clear if this information would predict
actual outcome in a modern cohort
– Prospective studies may be necessary to support adoption
Oncotype DX
• Application: Active surveillance candidates
– Seeks to predict adverse pathology: T3, GS>7 or primary 4
– Tests cancer foci in biopsy for 17 genes found to be indicators of
aggressiveness
– May reclassify pts in NCCN category
• Goal: Increase the number of patients and urologists who can
feel reassured on AS, identifies a few who have aggressive
features
• Predicts pathology, not clinical outcomes
Klein, Eur Urol, 2014
Population-Based Clinical Risk Assessment
VERY LOW
RISK LOW RISK LOW-INTERMEDIATE
RISK
GPS=8
84%
GPS=51
57%
10% (N=37) 49% (N=191) 41% (N=160)
44% (N=169) 31% (N=119)
GPS=25
75%
GPS Provides Biologic Risk Information
26% (N=100)
Where can biomarkers help?
1. When to biopsy
2. When to re-biopsy
3. When to treat
4. When to treat adjuvant
5. Assess therapeutic response
Tests for Prostatectomy Specimens
• Prolaris
– Increased score could help tip decision toward adjuvant therapy
• Decipher
• PTEN: FISH assessment of a common gene alteration in
aggressive disease
CTC: Circulating Tumor Cells
• Measurement of CTC in CRPC trials
– Decrease during treatment highly predictive of treatment response and
survival (Scher, Lancet Oncol, 2009)
Figure 1 Cumulative survival ROC curves comparing GC score and individual clinicopathological factors for predicting clinical
metastasis 5 years after RP. GC showed noticeably higher discrimination than individual clinicopathological factors. Path , patho...
R. Jeffrey Karnes , Eric J. Bergstralh , Elai Davicioni , Mercedeh Ghadessi , Christine Buerki , Anirban P. Mitra ...
Validation of a Genomic Classifier that Predicts Metastasis Following Radical Prostatectomy in an At Risk Patient
Population
The Journal of Urology, Volume 190, Issue 6, 2013, 2047 - 2053
http://dx.doi.org/10.1016/j.juro.2013.06.017
Considerations
• Prostate cancer is genetically complex
• Molecular tests are evolving rapidly
• Characteristics of a good test – Answers a clinical question (utility)
– Is based on good evidence
– Is actionable—changes a treatment
• Tests cannot be applied to all populations if not tested in them
• Rigorous validation with consistent methodology needed – How costly will that be?
– Cost may limit development and evaluation of innovative tests
• Test must be applied to the specific and appropriate clinical context
Conclusions
• PSA screening identifies many non-aggressive cancers
• Uncertainty and fear cause patients and doctors to treat aggressively
• Before placing QOL at risk we need to better identify which patients
need treatment, and the recent biomarker explosion seeks to do this
• Are the tests good enough yet? They are getting there
• If good enough, who pays for them?
• If used, are we and are patients going to abide by the result? – If not, why order the test?
– If so, treatment will decrease significantly as we will flip the script on AS vs intervention