with
PCa
risk
(
p
= 0.09).
No
significant,
clear
pattern
of
association was
observed
between
smoking
duration
and
PCa risk. Previous smoking showed no association
(RR: 1.00;
95%
CI,
0.95–1.06),
but
ever
smoking
showed
an
inverse
association
(RR: 0.94; 95% CI, 0.90–0.98) with
incident PCa;
however, heterogeneity
in
results
for both groups was high
(previous
smoking:
I
2
= 61%;
p
<
0.001;
ever
smoking:
I
2
= 68%;
p
<
0.001).
It
is
unlikely
that
the
difference
in
pattern
of
association
over
time
is
related
solely
to
differences
in
the
quality
of
studies.
Some
earlier
studies
were
large, well-conducted
studies. One
possible
explana-
tion,
suggested by
the
authors,
is
that
smoking may
reduce
the
risk of
indolent nonaggressive
cancers, which predomi-
nate
among
cancers
detected
in more
recent
years, while
promoting
more
aggressive
cancers
[11] .Alternatively,
smoking
has
been
linked with
lower
risk
of
screening
and
poor
compliance
with
prostate
biopsy
[62].
A
recent
analysis of
the Reduction by Dutasteride of Prostate Cancer
Events
(REDUCE)
study,
in
which
men
with
a
negative
baseline
biopsy
and
elevated
prostate-specific
antigen
(PSA) were
randomized
to dutasteride or placebo
and were
required
to under biopsy
at 2
and 4
yr,
found
that
smokers
were
less
compliant
[62]. On
the
2-yr
biopsy,
smokers had
more
high-grade
disease;
when
considering
the
whole
REDUCE
study and
the
fewer biopsies performed,
this effect
was
lost.
On
a
population
level,
perhaps
smokers
are
less
likely
to
be
screened,
resulting
in
the
detection
of
fewer
nonaggressive
PCa
screen-detected
cancers
and
making
smoking
appear
‘‘protective’’
in more
recent
years.
Regarding
PCa mortality
(as
opposed
to
PCa
incidence),
the data were more
clear. A
significant 14%
increased
risk of
PCa death
associated with
current
smoking was
reported
in
that meta-analysis
[62].
The
highest
categories
of
smoking
were associated with 24–30%
increased
risk
[11,61]. Results
of
several
prospective
studies were
published
recently
and
included
in
a meta-analysis
by
Islami
et
al
[11] .The
recent
meta-analysis
observed
a
robust
association
between
ciga-
rette
smoking and PCa death:
It was observed
in analyses of
current, former, and ever use and inmeta–regressionmodels,
suggesting
a
dose-response
association,
and
persisting
in
subgroup analyses
includingwhen stratified by geography or
study
completion
time
[11].
Current
cigarette
smoking
at
baseline was associated with an
increased
risk of death
from
PCa
(RR: 1.24; 95% CI, 1.18–1.31) with
little heterogeneity
in
results
(
I
2
= 1%;
p
= 0.45).
In meta–regression
models,
the
amount of cigarette
smoking at baseline
(cigarettes per day)
showed
a
dose-response
association
with
PCa
death
(
p
= 0.02;
20
cigarettes
per
day,
RR:
1.20).
The
RR
for
the
association between previous
cigarette
smoking
at baseline
and
PCa mortality was
1.06
(95%
CI,
1.00-1.13) with
little
heterogeneity
(
I
2
= 0%;
p
= 0.62).
The
RR
for
the
association
between ever cigarette
smoking and PCa mortality was 1.18
(95%
CI,
1.11–1.24)
but with moderate,
statistically
signifi-
cant heterogeneity
(
I
2
= 36%;
p
= 0.04).
Limitations
of
the
available
evidence
should
be
consid-
ered.
Only
a
few
of
the
studies
included
in
the
two
meta-analyses provided
information about PCa screening
in
their
study populations, probably because
this
information
was
not
available
from most
cancer
registers, which were
the main
sources
of
outcome measures
[11,61].
The
few
papers
that
did
provide
this
information
suggest
that
the
association between smoking and PCa death may be slightly
stronger
in
those with
no
screening
compared with
those
with
PCa
screening
[11,61,62].
It
is
also
important
to
Smoking
Inflammation
Carcinogenic
substance
Hormone changes
Increased total and free
testosterone,
increased estradiol
Gene polymorphism
mutation
p53
Cytochrome P450
Glutathione-S-transferases
Hemeoxygenase 1
Aromatic hydrocarbons
cadmium
Cytokine
release
(IL-6, IL-8, IL-18, TGF-
α
)
Prostate cancer
Fig.
2
–
Biological
hypothesis
for
prostate
cancer
development
and
smoking.
E U R O P E A N
U R O L O G Y
F O C U S
1
( 2 0 1 5
)
2 8 – 3 8
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