A Strategy Of Success
in the Treatment
of Prostate Cancer
PCRI Insights July, 2002 vol. 5, no. 1
By Stephen B. Strum, MD, FACP
Page
<< 1 2 3 >>
The PSA and PSA Dynamics
The absolute values of PSA, the changes in
PSA over time, factors associated with PSA
increases, and the volume of the prostate
gland itself are some of the issues that
enhance our understanding of what is happening
with men at risk for PC or with men
already diagnosed with PC.
Absolute Values of PSA – First-Time Testing
The so-called “normal” range of PSA from
0-4.0 ng/ml is no longer considered valid.
First time PSA values of greater than 2.0 are
associated with a diagnosis of PC in approximately
20-25% of men so studied. Initial
first-time PSA values of less than 2.0
ng/ml relate to a state of prostate
health. Such PSA values change minimally
over a sequential 3 year follow-
up. However, first-time PSA values of 2.0-2.99 are
associated with progressive increases of PSA to = 4.0 in 6.9% of men
after year 1, 15.1% of men after year 2, and
23.6% of such men after year 3 of serial PSA
testing. The proportion of increase is worse
when the first-time PSA values are in the
3.0-3.99 ng/ml range. Increases in PSA values
to = 4.0 ng/ml in this setting are 35.7%,
57.1% and 66.0%, respectively with serial
testing at years 1, 2 and 3.
PSA doubling time (PSADT)
The history of the patient’s PSA values over
years of observation, before the formal
diagnosis of PC, provides important clues
as to the rapidity of PC growth. This is true
for most prostate cancers because the PSA
level correlates well with the cancer volume.
If the PSA has been done using the
same assay technique (ideally in the same
lab), the time it takes for the PSA to double
provides valuable information about the nature of the PC. PSA
doubling times of less
than six months indicate a rapid cell proliferation
and in such situations metastatic
PC must be ruled out. Most commonly, PSA
doubling times in newly diagnosed men
with PC range from two to four years.
Factors Other Than PC That
Elevate the PSA
In the evaluation of PSA dynamics, the
medical detective must take into account
factors that can elevate the PSA but are
apparently unrelated to the existence of
prostate cancer. For example, sexual activity
with ejaculation in the 48 hours preceding
a lab draw for PSA, bicycle riding or
horse-back riding, instrumentation of the
prostate gland with TRUSP or biopsies
within the preceding six weeks, or the insertion
of a urethral catheter are all explanations
for increasing levels of PSA. However,
these situations do not explain a persistent progressive rise in PSA
over months to
years. A history of prostatitis with expressed
prostatic secretions showing white blood
cells or bacteria, a drop in PSA in response
to 4-8 week courses of antibiotics, and a
DRE detecting a soft or tender prostate are
clues that prostatitis may be a cause for PSA
elevations and fluctuations – but prostatitis
does not usually cause serially progressive
rises in PSA.
PSA Trend
Therefore, the PSA trend, just like a stock
market trend, is an important concept. This
is true at the time of diagnosis of PC and all
throughout the course of the disease. The
patient and his physicians should be
observing trends reflecting values over
time. Too often we see patients flit
from one treatment to the next without
seeing a definite trend in the PSA
or applying other tests to judge success
or failure of treatment. In a different
context, a man diagnosed with PC
with a stable, slowly creeping elevation of
PSA over years may be a good candidate for
watchful waiting. All of this relates to listening
to the biology and working with
your physician to observe what is happening
in your case.
Prostate Gland Volume
Other factors need to be brought into this
analysis as well. A large prostate gland
associated with benign conditions such as
benign prostatic hyperplasia (BPH) contains
more prostate cells. This results in a
greater amount of benign PSA being secreted
into the blood. The basic formula we use
to evaluate this is:
The gland volume multiplied
by 0.066
equals the
amount of benign PSA.
Subtracting this result from the total PSA
leaves unexplained PSA that might well
reflect the PC component. For example, a
hypothetical patient, Charlie Darwin, is
diagnosed with PC with a PSA of 9.0. His
DRE was not suspicious for PC, but his
prostate gland volume, measured at the
time of his biopsies using the transrectal
ultrasound, was 90 cubic centimeters (cc).
Using the formula above, 5.94 ng (90 x
0.066) of PSA could be attributed to BPH.
Subtracting this from his PSA of 9.0 results
in 3.06 ng of unexplained PSA that relates
to PC until proven otherwise (Fig. 7).

Figure 7: Tumor Volume Calculation
Using Gleason score, baseline PSA, Gland Volume and the Concept
of PSA Leak – the Case of Charlie Darwin In
the hypothetical scenario of Charlie Darwin, a high gland volume
in association with afavorable Gleason score and a baseline PSA
of < 10 has resulted in a calculated tumor volume of only 0.72
cc. This low calculated tumor volume is associated with an 80%
probability of organ confined PC as well as an 80% chance of cure
by radical prostatectomy
(RP). |
If Charlie had a Gleason score (read by
an expert in PC pathology) that indicated a
value of (3,3) or 6, we could estimate his
cancer volume using the concept of PSA
leak. The higher the Gleason score,
the less the PC cells leak PSA into
the blood stream (Table 1).
Gleason
Grade
-weighted-
|
PSA
Leak
|
|
Rounded
|
Exact
|
|
5
|
1
|
0.93
|
|
4.5
|
1.5
|
1.36
|
|
4
|
2
|
1.99
|
|
3.5
|
3
|
2.92
|
|
3
|
4
|
4.26
|
|
2.5
|
6
|
6.23
|
|
2
|
10
|
9.12
|
|
1.5
|
15
|
13.33
|
|
1
|
20
|
19.49
|
|
Table 1: PSA Leak vs. Weighted
Gleason Grade
The PSA leak relates to the amount of PSA (ng) that enters the blood stream
for each cubic centimeter (cc) of PC tissue that has a specific average
Gleason grade. In a
patient with all biopsy cores showing a Gleason score of (3,3), his weighted
Gleason grade would of course be 3. If a patient had four cores from the
right lobe of the prostate with a Gleason score of 8, and two cores from
the left lobe with a Gleason score of 6, his weighted Gleason grade would
be: 4x8 + 2x6 divided by total number of cores (6) = average Gleason score
of 7.33 with a weighted Gleason grade of 3.67 and a PSA leak of 2.57 ng/cc. |
A GS of 6 is associated with
a PSA leak of 4.26 ng for every cubic centimeter of PC
tissue. Therefore, Charlie would have a calculated
tumor volume of 3.06 ng ÷ by 4.26
ng/cc or 0.72 cc of tumor. Such a small
amount of PC is associated with an excellent
chance of the disease being confined to
the prostate. In this situation, a
methodical process of evaluation
has led to treatment options that
could involve RP, RT, Cryosurgery,
Watchful Waiting or Androgen
Deprivation Therapy. However, this
is just the first chapter in our evaluation
of such a hypothetical patient.
The above hypothetical
story is a good one. However, PC patients may have Gleason
scores of 9 or 10 with low levels of PSA
and yet large tumor volumes. Charlie’s
hypothetical son, Billy Darwin, when diagnosed
with PC at age 54 years had the same
baseline PSA of 9.0, the same clinical stage
of T1c, but his gland volume was 20 cc and
his Gleason score read by an expert was
(5,4). The calculation for benign-related
PSA for Billy Darwin indicates a value of
1.32 ng (20 cc x 0.066). His PC-related PSA
would be 9.0 minus 1.32 or 7.68. With an
average Gleason score of 9, his weighted
Gleason grade would be 4.5 giving him a
PSA leak of 1.36. His calculated tumor volume
would be 7.68 divided by 1.36 or 5.6 cc
(Fig. 8).

Figure 8: Calculated Tumor Volume
Indicative of Low Probability of OCD (organ confined disease) – the
Case of Billy Darwin. In
this scenario, a lower gland volume and a higher Gleason score
relates to a large calculated tumor volume. Such a patient profile
would indicate a high risk of non-organ confined prostate cancer
and mandate that additional studies be done to exclude the presence
of disease outside the confines of the prostate. Such studies could
include PAP, a bone scan, endorectal MRI with spectroscopy, and
a ProstaScint-CT fusion study. |
This gives Billy a 34% chance of
organ-confined PC based on the work of
D’Amico et al and a 50% chance of cure
with an RP based on published statistics
from Stanford relating tumor volume to
successful outcomes with RP. Of course,
these are only guidelines that help
the Darwins assess their status more
scientifically.
The Excel software program that was used to create the worksheets
seen in Figures 7 and 8 can be found on the PCRI Web site at:
www.prostate-cancer.org/tools/software/tumorvol.html.
The program can use your data with the required inputs of PSA, gland
volume,
and
Gleason
score to
calculate the PC volume. The necessity of
having a reading of the Gleason score by an
expert in PC pathology will be discussed in
the section “Validating Critical Data Inputs.”
The Clinical
Stage (CS)
The clinical stage is often misunderstood
by both physicians and patients. CS refers
to the clinical impression of the amount
and extent of disease exclusive of pathology
findings such as the results of
biopsies or of radical prostatectomy.
The clinical stage, as used today, essentially
reflects the findings of the digital rectal
examination (DRE) of the prostate; this is
essentially the T stage. Understanding that
the vast majority of the urologic world
equates the clinical stage with the T stage
of the TNM
classification is
important if we are to speak one medical language. Confusing
the clinical stage with the findings
after pathologic biopsy or RP leads to
incorrect perceptions as to extent of disease
and invalidates proper strategy. The clinical
stage, as it relates to the T portion of the
TNM classification, is described and illustrated
in the April 2000 issue of PCRI
Insights.
The clinical stage is highly subjective
and many physicians (including urologists,
radiation oncologists and medical
oncologists) do not have great skills in discerning
pathology within the prostate
gland. Thus, the clinical stage (CS) is the
least accurate of the three basic assessments
(PSA, Gleason score, and clinical
stage) that are used most often in the initial
evaluation of patients. Moreover, in at
least 70% of men who are newly diagnosed
with PC in the USA by physicians skilled in
the art of DRE, the CS reveals no evidence
of PC; these patients have a CS of T1c. This
is a favorable prognostic finding when present.
When the CS is more advanced, it
reflects more PC that may be a factor in the
outcome using therapies such as RT or
Cryosurgery. Such therapies are considered
to tumor-volume dependent. That is, a significant factor in the
success of such treatment approaches
relates to the amount of PC assuming
the disease is organ-confined. Therefore, for at least
30% of men with PC, the CS
still is hypothetically relevant in our strategy
of how best to treat PC. (Editor’s Note: In
contrast, RP is felt to be tumor extent dependent. If the disease is
not confined to the surgical boundaries
of the RP procedure the treatment
will not be curative.)
Oncogenes
There are numerous other biologic factors
that have been associated with a more
advanced stage of disease. These include
genes relating to tumors (oncogenes) that
promote cancer cell survival. Oncogenes
such as bcl-2 are associated with a more
advanced clinical stage. In addition,
growth factors such as plasma levels of
transforming growth factor beta-1 (TGFß-1)
have recently been reported to be associated
with occult metastatic disease in patients
with apparent clinically localized PC.
However,
in our initial strategy with a newly diagnosed patient with
PC or for a patient with recurrent
disease, we can use the basic biologic
tests that are readily available
and still enhance our strategic
skills even if we do not have the
ability to explore new studies.
Virtually all of
these biologic expressions are disease manifestations as they reflect
interaction between the host (the patient)
and the malignancy. The PSA dynamics
may relate to the rapidity of disease growth:
is the disease slow-growing or fast growing?
The DRE may reflect the amount of tumor
volume as well as provide a clue that part of
the PSA is benign-related in those men presenting
with large prostate glands without
DRE evidence of PC. When we use such tools
we are listening to the biology of cancer and
enhancing our strategy of success.
Step
2. Validating Critical
Data Inputs
The Gleason Score (GS)
The GS is one of the most important biologic
clues that allows us to profile PC
aggressiveness or lack thereof. The potential
downside of the GS is that an accurate
reading of the GS cannot to be taken for
granted. Medicine has become more complicated,
and the skills of community
pathologists and even academic pathologists
vary significantly. Some pathologists
are highly competent in evaluating a specific
disease(s), while others are not.
Observer disagreement occurs even among
experts, albeit not that commonly. Disagreement
on GS between community
pathologists and recognized experts in the
field, however, is significant. Therefore, validating
the Gleason score with an acknowledged
expert in the field of PC is a critical
part of a successful strategy. The
process of validating key biological “ inputs” involved
in the prognostic equation is important. Certainly,
we should optimize our evaluation of the biologic
process by understanding the variable
talents that exist everywhere and in every
field. Obtaining a second opinion from an
acknowledged expert in the field of PC
pathology is a worthwhile investment. A listing of some of the internationally
recognized experts in prostate cancer pathology can be found on the
Prostate Cancer Research Institute’s
website at:
www.prostate-cancer.org/resource/special.html#pathology
Step 3. Establising a
Baseline
In summary, a truer picture of the patient’s
status evolves when we (1) listen to the
biology of PC and utilize the valuable tools
of PSA and its dynamics, (2) understand
the use of the clinical stage and its limitations,
(3) obtain the prostate gland volume
and use the appropriate calculations to
determine cancer-related PSA as well as
tumor volume, and (4) keep in mind that
the Gleason score, one of the most important
biologic expressions of prostate cancer,
must be validated by an expert in PC
pathology.
The patient’s medical “story” is developing
as more and more clues are revealed to
help us solve the mystery. There is no
exact order in these strategy issues,
but a picture unfolds while we
obtain information. This information is
our baseline, or starting point. Years ago, the
baseline would have been limited to the findings
of the DRE and a pathology report. Now
our baseline information has evolved to
incorporate biological manifestations that
tell us so much more; as Paul Harvey used to
say, “and now for the rest of the story.”
These baseline
studies are valuable because they depict the biologic reality of
the individual patient, and also because
they act as critical observation or comparison
points to evaluate the patient not just at
the initiation of therapy, but along the
entire course of his illness. How can we
know how much we have helped the patient
if we have no basis for comparison? We
need the means to objectify our
results of therapy, and when we have
such findings we should use them.
Core Percentage
The number of biopsy cores that exhibit PC
at the time of the diagnosis of this disease is
another baseline input of significant importance.
Dividing the number of cores that
show prostate cancer by the total number of
cores sampled yields the core percentage involvement by PC. The core
percentage reflects tumor density and also contributes
to our sense of tumor volume. A core
percentage involvement by PC of 50% or
higher has been established as an
adverse prognostic finding.
DNA or Ploidy
Ploidy, in the context of PC, relates to the
amount of DNA present in the PC cell population
being studied. A normal ploidy status,
or “diploid” state, occurs when the
amount of DNA within the tumor cell is
normal. This is equated with the tumor cell
having the full complement of chromosomes
e.g. 46, since the DNA or genetic
material is found within the genes that are
arranged on each chromosome. Cells are
either “diploid” or normal in their DNA
amounts or abnormal i.e. “aneuploid.” Diploid status is
more commonly associated with tumors of a low to moderate Gleason
score, whereas abnormal ploidy (aneuploid)
status is more commonly associated
with tumors of a higher Gleason score.
However, this is not a hard and fast rule.
Although DNA analysis or ploidy is
often criticized as not being a useful prognostic
factor in prostate cancer, there are
far more compelling studies that would
suggest that the DNA status of the tumor
cell population tells us much about the
aggressiveness of the individual patient’s
PC. Ploidy analysis can be done on the
diagnostic biopsy or from PC tissue
obtained at the time of RP. Normal DNA or
diploidy is associated with a better prognosis
and a better response to androgen deprivation
therapy. Abnormal DNA or aneuploidy
is associated with a higher
risk for PSA recurrence after RP in a
large series from the Mayo Clinic
(Table 2).
Progression Within 5 Years of RP (Percent) |
The "Lerner Analysis |
Ploidy Status |
| PSA Level |
Gleason Score |
Diploid |
Aneuploid |
| < = 10 ng/ml |
5 |
8% |
15% |
6 |
15% |
30% |
7 |
30% |
42% |
8-10 |
42% |
61% |
| |
| > 10 ng/ml |
5 |
15% |
30% |
6 |
30% |
61% |
7 |
42% |
61% |
8-10 |
61% |
61% |
| Table 2: Risk Factors for Progression
in Patients with Prostate Cancer Treated with Radical Prostatectomy
with Apparent Pathologically Organ-Confined Disease
(OCD) Using the PSA prior to RP, the Gleason score
at the time of RP and the ploidy status
of the RP specimen, the risk of any kind of disease progression
(biochemical or clinical) also showed significant
independent correlation with the ploidy status. Recent DNA analyses have
shown an excellent correlation between ploidy analysis obtained
from biopsy specimens and the subsequent RP specimens.
Therefore, in the setting of what appears to be organ-confined
PC, the use of DNA analysis is a valuable tool for the patient
and physician. Modified after Lerner et al. |
In this
paper, Lerner et al clearly demonstrated the importance of
ploidy as an independent prognostic factor.
The 5-year relapse rates in patients undergoing
RP and having “apparent” OCD
were analyzed with respect to PSA, GS and
ploidy status. A significantly higher rate of
disease relapse was seen in patients with
non-diploid tumors.
A discussion of ploidy appeared in the
January 2001 issue of the PCRI Insights newsletter which is available off the PCRI
website at www.pcri.org by choosing the Newsletter link. Alternatively,
you can click this link.

Figure 9: Pyrilinks-D or Deoxypyridinoline The
Pyrilinks-D or Dpd test is an inexpensive laboratory examination
that measures a fragment of the bone matrix that is excreted
into the urine. In situations of excessive bone resorption or
breakdown, the Dpd is elevated. In men, this is greater than
5.4 nmoL Dpd per nmoL urine creatinine. Excessive bone resorption
at diagnosis is associated with a greater risk of occult metastatic
spread of PC. Increased Dpd is also commonly seen as a result
of the use of androgen deprivation therapy since a lack of testosterone
favors osteoclast activity and promotes the breakdown of bone. |
Pyrilinks-D (Dpd)
This inexpensive urine test is an important
baseline assessment. Pyrilinks-D (deoxypyridinoline
or Dpd) quantitates the amount of bone breakdown or resorption (Fig. 9). Excessive resorption is associated
with a greater risk of osteoporosis; moreover,
at the time of diagnosis, prior
to any therapy, elevations in Dpd
have now been shown to be associated
with metastatic disease to bone. This is not an absolute,
but it is a risk factor that is put into the equation of how we
assess patients and how we counsel them to
comprehensively evaluate the entire disease
process. Nationwide laboratories
for two patient service centers doing the Pyrilinks-D
(Dpd) urine test include Quest
Diagnostics
, and LabCorp
.
Information for additional laboratories may
be obtained by emailing info@dpcweb.com.
For links to Quest and LabCorp, see:
http://www.prostate-cancer.org/resource/links.html#Anchor-Laboratorie-20530.
Please note that the Pyrilinks-D urine test
requires a sample obtained from the second voided
urine specimen upon arising out of bed. It does not require a 24-hour
urine specimen.
We now have tools to improve
the bone environment. These are
the class of compounds called the
bisphosphonates of which Fosamax ® , Actonel®, Aredia® and
Zometa® are examples (Table 3).
Used in combination with bone
supplements such as Bone
Assure® (Life Extension Foundation)
and Bone Up® (Jarrow Inc),
we can stop bone resorption and
hopefully decrease the spread of
PC to bone. If we use tests
such as Pyrilinks-D (Dpd)
prior to, and during treatment
with bisphosphonates
plus bone supplementation,
we have an objective means
to ascertain that the treatment
has accomplished its goal. Therefore, obtaining a baseline
Pyrilinks-D is an important starting
point to correct what needs to be
fixed within the health of the patient.
Table
3: Bisphosphonate Potency and Structure These
are the five major available bisphosphonate compounds in the
world today. Clodronate, Alendronate
(Fosamax) and Risedronate (Actonel) are
oral agents and their bioavailability is affected by
gastrointestinal absorption. Pamidronate (Aredia)
and Zoledronate (Zometa) are administered intravenously.
However, the the Pyrilinks-D test, used to
monitor the status of bone resorption, provides an
assessment of the efficacy of any bisphosphonate
compound.
|
QCT Bone Densitometry
Not only does the status of the bone environment
appear to be important in the
potential spread of PC, but it also appears
that bone loss is an epidemic disease in
men with PC prior to the initiation of any
type of PC treatment. Using the superior
technology of quantitative CT (QCT) bone
mineral density to assess bone loss, Smith
et al showed that 31% of men diagnosed
with PC had osteopenia and 63% had osteoporosis.
In the same patients, the DEXA
scan, the so-called “gold standard” used to
assess bone density, indicated that 29% of
men had osteopenia while only 5% had
osteoporosis. Apparently, arthritic
changes in the lumbar spine and hip,
curvature of the lumbar spine, and/or
vascular calcifications in either spine
or hip area falsely elevate the DEXA
bone density, thus understating the
degree of bone loss. QCT bone densitometry
is not compromised by these common
conditions and thus more accurately assesses
the bone density. Establishing a baseline
using the superior technology of
QCT bone density scanning prior to
any kind of therapy may not only
enhance the outcome of the PC patient
if an abnormality is detected and corrected,
but it may also prevent the
complications of osteoporosis. Information
on QCT bone density testing sites can
be obtained from Mindways Software, Inc.
(1-877-646-3929 or www.qct.com) and at
Image Analysis, Inc. (1-800-548-4849 or
www.image-analysis.com).
Testosterone Levels
Obtaining a baseline testosterone level is
basic to an understanding of PC as it relates
to treatment with ADT. Too often we see
men receiving therapy targeted to deprive
androgens such as testosterone, DHEA-S and androstenedione and note that the
patient never had a pre-treatment testosterone
level or one obtained after initiating
ADT. PC patients presenting with low baseline
testosterone levels at diagnosis have
been found to have higher Gleason scores.
Schatzl determined that the mean Gleason
score averaged 7.4 in such circumstances
versus 6.2 when the baseline testosterone levels
were normal. Other investigators have
found a correlation between low free serum testosterone at diagnosis and more extensive
PC as well as a higher percentage of PC that
shows a GS of 8 or greater. At the opposite
extreme, pretreatment serum testosterone
levels greater than 500 ng/dl have been associated
with metastatic relapse in men with
clinically localized PC treated with RT.
Failure
to monitor serum testosterone levels after initiation of
therapy directed at lowering testosterone
to castrate levels may lead to
a misdiagnosis of androgen independent
PC (AIPC). It should not be
assumed that AIPC is present in the setting
of either a rising PSA, or a failure of the
PSA to drop to undetectable levels (e.g. <
0.05 ng/ml) unless a castrate testosterone
level has been documented. We and others
define a castrate testosterone as < 20 ng/dl
(or < 0.69 nM/Liter). Moreover, such
patients suspected to have AIPC and who do
have confirmation of a castrate testosterone,
should also have undergone antiandrogen
withdrawal (AAW) to rule out a
mutation in the androgen receptor before
the healthcare team entertains a diagnosis
of AIPC. These issues are discussed and
illustrated in the October 2000 issue of
PCRI Insights (page 3, “Understanding
the Endocrinology of Prostate Cancer”).
Prostatic Acid Phosphatase (PAP)
Prior to the PSA, the major biomarker
of prostatic cancer was the prostatic acid phosphatase,
or PAP, which is a laboratory test
obtained from the serum. Many physicians
have discarded the PAP while many others
still use it as a differential tool in their
strategic analysis of the patient. In their
experience, the PAP is an important baseline
test since it has predictive value regarding
the success or failure of RP or RT.
In
a study by Moul et al, values of PAP at baseline of 3.0 or higher were
associated with more than a two-fold
risk of PSA recurrence after RP, even
if the baseline PSA was 10 or less. In
a study by Han et al from Johns Hopkins,
a striking relationship between
baseline PAP using the enzymatic method of Roy and PSA recurrence
post RP was seen. In the Hopkins study,
freedom from biochemical recurrence at five
and 10 years after RP was 87% and 77%,
respectively, for those men with normal pre-RP PAP levels defined as <0.4.
However, this dropped to 79% and 65%, respectively, in
men with preoperative PAPs of 0.4 to 0.5
U/liter and even further to 63% and 44% in
those with baseline PAP levels of > 0.5
U/liter. This is the third study to show the significance
of baseline PAP testing in the outcome
of men with PC (Table 4). In current
times, when translational medicine is
stressed so often, such findings
should be routinely incorporated into
the clinical care of men diagnosed
with PC. Clearly, the importance of this
baseline biomarker must be emphasized and
utilized in an intelligent strategy to maximize
a successful outcome for the PC patient.
| PAP Roy Assay |
Freedom from Biochemical Recurrence after RP |
| U per Liter |
At 5 Years |
At 10 Years |
p Value |
| < 0.4 |
87% (84-89) |
77% (73-81) |
0.0001 |
| 0.4-0.5 |
79%
(75-83) |
65% (59-70) |
0.0001 |
| > 0.5 |
63% (52-72) |
44% (30-57) |
0.0001 |
TABLE 4: PAP and Freedom from Biochemical Recurrence After RP
In a study from the Johns Hopkins Medical Institutions
involving 1,681 men, PAP levels obtained prior to RP
were predictive of patient outcome. In
this study spanning the years 1982 to 1998, the PAP
methodology employed was based on an enzymatic assay
described by Roy et al in contrast
to present-day methods which use immunoassays. In the original
paper by Roy, the mean PAP for normal healthy men
was 0.28 ± 0.09 U/liter with a range from 0.11
to 0.60. Table modified after Han et al. |
Step 4. Integrating Information
Using a Combined
Variable Analysis
Integrating and analyzing clinical and/or
pathologic data to enhance the generation
of information that is more statistically significant
has been termed “combined
modality analysis” by Anthony D’Amico,
MD. Such an approach incorporates various
biological evaluations of the patient in order
to project outcomes to be used as guides for
further evaluation and treatment purposes.
In essence, this is a deductive process of “Given
these biological facts of known significance that are unique to the
patient’s situation, what can we deduce
is the reality for this patient insofar as
the extent of his disease and the probability
of success of various treatments
that may be suggested” (see Fig. 10).

Figure 10: Status Level 1 of a Strategy
of Success The essence of Level 1 involves the identification of biological
inputs known to be statistically
significant used in an analytic milieu that generates further information
of
even greater significance. Tools such as algorithms, neural nets,
and nomograms are
processing devices. Their focus should be to facilitate an objectified
risk assessment for
the patient, which the patient’s physician is able to use to
fine-tune the management
of the patient. This formalizes the analytic process and forces those
involved in the
patient’s care to look at “the facts Ma’am, just
the facts.” This methodological process
is of paramount importance since the nomograms, neural nets and similar
tools that have been available utilize the inputs and outcomes of
over
20,000 human lives in their generation of new data. This is not mouse,
rat or
hamster data, but the experiences of men with prostate cancer that
can guide other
men who come after them. Thus, Level 1 embodies the philosophy of
Santayana:
“
Those who cannot remember the past are condemned to repeat it.”
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Physicians have been using a lower
intensity form of this kind of approach by
observing individual variables e.g. PSA,
Gleason score, etc. What scientists like Partin
and D’Amico and many others have done is
to combine these variables and define riskgroups
that relate to particular outcomes for
various therapies. In other words, what treatment
will be most successful for your given
biological profile. The outcomes may relate
to the findings at RP such as the probability
of organ-confined disease versus the presence
of extra-capsular extension, seminal
vesicle or lymph node involvement, e.g. the
Partin Tables, the Narayan data. The outcomes
may be expressed as the risk for PSA
recurrence after RP, RT or seed implantation,
e.g. D’Amico analyses, Kattan
nomograms.
Many scientists are also using additional
statistical methods that go beyond
analysis of multiple variables. Their analytic
approaches are now being published in large
numbers of papers. Approaches such
as artificial neural nets that can be taught to look for patterns associated
with a specific
outcome are very important advances. Some of the algorithms and neural
nets that we have found helpful in integrating information (baseline
and validated information) are shown on the PCRI website at www.prostate-cancer.org/tools/software/software.html.
These are all available for free from the PCRI website.
The output of these mathematical
analyses provides what we consider a
refined risk assessment. This allows your
doctor either to obtain additional studies to
evaluate PC spread to areas that indicate a
significant risk or to forgo studies where the
yield of finding such pathology is negligible.
This has been discussed in a pamphlet
called “Predictive
and Prognostic Information in the Counseling of Patients Recently
Diagnosed Patient with PC,” by Stephen B.
Strum, MD. You can call the PCRI at (310)
743-2110 to request this booklet.
This refined risk assessment profile,
now developed specifically and individually
for a particular patient, becomes a custom
profile. Rather than pigeonhole patients
into broad categories, it has presented the
individual patient as the unique biologic
entity that he is. In addition, as mentioned
previously, the patient is now taking advantage
of the past history and performances of
other men in similar prognostic risk categories.
This historical data is the essence of
what Partin et al first presented in 1993,
updated in 1997 and again recently
updated; this is what we call the Partin
Tables. The Partin Tables are the prototype
of combined modality analysis.
Step 5. Synthesizing
All This Data to Represent a “ Refined” Analysis
Based on these tests and studies, the
patient-physician team now has a much
better sense of what prognostic group the
patient is in, what further studies need to be
done, and what studies can be excluded. If
the validated Gleason score is less than 7
and the baseline PSA is less than or equal to 10, multiple papers confirm
that there is
little value in obtaining bone scans or CT
scans. If the algorithmic outputs suggest a
negligible risk of lymph node involvement,
there is no indication that a ProstaScint
scan is needed to rule out lymph node disease.
There are published algorithms and
neural nets using basic inputs that refine
the patient’s analysis.
Further inroads into such refined
risk assessments are now being made using
some of the new tools that include oncogene
analysis such as bcl-2, mutated p53, proliferation
indicators such as MIB-1, and
growth factors such as transforming growth
factor-ß1 (TGF-ß1), interleukin-6 (IL-6)
and its soluble receptor (IL-6sR). Also in
progress are evaluations of angiogenesis or
new blood vessel development of the tumor
by measuring vascular endothelial
growth factor (VEGF) and using treatments to
reduce this vascular growth stimulator.
Step 6. Presenting Strategies to the Patient Within the
Context of His Situation
The strategies described in this article present
a rational way to determine which
treatment option(s) is(are) indicated. However,
this indication is only useful to the
patient with PC if it coincides with his personal
wishes. Such personal wishes include
what kind of therapy he is comfortable
with, if the therapy fits into what he is
financially able to afford, and if it also
relates to his access to healthcare providers
within his insurance plan (if this is relevant
in his situation). Such considerations must
be taken into account all along this journey.
However, other issues of a medical
nature must also be brought into this equation.
The overall health of the patient and
his mental status are clearly aspects of
refined medicine that involve patient context
(Fig. 11). I have seen patients with advanced Alzheimer’s disease
who were
subjected to RP, others who were told to
have local therapies although their PSA
values were in the 80s, and still others who
were subjected to RT after they have failed
RP although they were never candidates for
any local therapy. We need to eliminate
such examples of medicine gone astray.

Figure 11: Status Level 2 and Beyond
in a Strategy of Success After the initial risk assessment
has been obtained and discussed in depth with the patient,
refinements of staging are performed (if indicated) to rule out PC
extension of disease, or
to detect features suggesting a more aggressive form of PC. These
findings, if present (but
ignored) will usually negatively affect the outcome of therapy. After
such studies are done,
other patient-oriented factors must be brought into the equation
to ensure that the patient
is getting personalized care. The context of the patient
is critical and although this
concept is introduced at this level of analysis, patient context
must be brought
into this strategic process from the onset. Issues of gland volume
and the status of lower
urinary tract symptoms (LUTS), patient preferences as well as fears
about certain treatment
modalities, non-prostate health issues and the financial status of
the patient are
important examples of “context” that are critical to
a strategy of success. In the words of
Sir Francis Weld Peabody: “One
of the essential qualities of the clinician is interest in
humanity, for the secret of the care of the patient is in caring
for the patient.”
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The selection of therapy(ies) as part of
the increasing number of treatments for PC
available today is a complex subject that is outside the scope of
this article. However, it
can be said that along this journey that
involves prevention, early diagnosis, staging
and treatment, the knowledgeable and
supportive care of the patient by the
physician and the entire healthcare team
will maximize the probability of a successful
outcome. The ingredients of this recipe
for success must involve a conscious tactic,
a methodology, a process, a strategy of
success.

(References on next page)
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