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Prostate Cancer
Age-Specific Risk of Incident Prostate Cancer and Risk of Death
from Prostate Cancer Defined by the Number of Affected Family
Members
Andreas Brandt a,*, Justo Lorenzo Bermejo a,b, Jan Sundquist c,d, Kari Hemminki a,c
a Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germanyb Institute of Medical Biometry and Informatics, University Hospital Heidelberg, Heidelberg, Germanyc Centre for Primary Care Research, Lund University, Malmo, Swedend Stanford Prevention Research Centre, Stanford University School of Medicine, Stanford, CA, USA
E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0
ava i lable at www.sciencedirect .com
journal homepage: www.europeanurology.com
Article info
Article history:
Accepted February 3, 2010Published online ahead ofprint on February 13, 2010
Keywords:
Prostate cancer
Familial prostate cancer
Familial risk
Prostate cancer mortality
Population-based studies
Please visit
www.eu-acme.org/
europeanurology to read and
answer questions on-line.
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then be attributed
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Abstract
Background: The thorough assessment of familial prostate cancer (PCa) risk is as
important as ever to provide a basis for clinical counselling and screening recom-
mendations.
Objective: Our aim was to determine the age-specific risks of PCa and the risk of
death from PCa according to the number and the age of affected first-degree
relatives.
Design, setting, and participants: The nationwide Swedish Family-Cancer Data-
base includes a record of >11.8 million individuals and their cancers from 1958 to
2006. All men from the database with identified parents (>3.9 million individuals)
were followed between 1961 and 2006. The study included 26 651 PCa patients, of
whom 5623 were familial.
Measurements: The age-specific hazard ratios (HRs) of PCa and the HRs of death
from PCa were calculated according to the number and age of affected fathers and
brothers.
Results and limitations: The HRs of PCa diagnosis increased with the number of
affected relatives and decreased with increasing age. The highest HRs were
observed for men <65 yr of age with three affected brothers (HR: approximately
23) and the lowest for men between 65 and 74 yr of age with an affected father (HR:
approximately 1.8). The HRs increased with decreasing paternal or fraternal
diagnostic age. The pattern of the risk of death from familial PCa was similar to
the incidence data.
Conclusions: The present results should guide clinical counselling and demon-
strate the vast increases in risk when multiple first-degree relatives are affected.
soc
. Division of Molecular Genetic Epidemiology, German Cancer Researchnheimer Feld 580, D-69120 Heidelberg, Germany. Tel. +49 6221 421805;
[email protected] (A. Brandt).
# 2010 European As
* Corresponding authorCentre (DKFZ), Im NeueFax: +49 6221 421810.E-mail address: andreas
0302-2838/$ – see back matter # 2010 European Association of Urology. Publis
iation of Urology. Published by Elsevier B.V. All rights reserved.
hed by Elsevier B.V. All rights reserved. doi:10.1016/j.eururo.2010.02.002
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E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0276
1. Introduction
A family history of prostate cancer (PCa) is a well-
established risk factor for the disease [1]. Family studies
consistently found a 2- to 4-fold increased risk in sons and
brothers of PCa patients [2,3]. Yet no high-risk susceptibility
genes have been identified, and the currently identified
common low-risk variants associated with cancer suscepti-
bility are not thought to have an impact on clinical practice
[4]. The European Randomised Study of Screening for
Prostate Cancer (ERSPC) showed a PCa–specific mortality
reduction of 20% by prostate-specific antigen (PSA)–based
screening but also a high degree of overdiagnosis [5].
Therefore, the thorough assessment of the risk according to
the number and the age of affected first-degree relatives is
as important as ever to provide a basis for clinical
counselling and screening recommendations [6]. The risk
of death from PCa in individuals at familial risk is a measure
for familial aggregation that has been rarely used. However,
the relative risk of death in men with a family history is
likely to be less biased than the risk of being diagnosed with
PCa, which may be overestimated because men at familial
risk may preferentially take part in screening for PCa [7–9].
In this study, we used the nationwide Swedish Family-
Cancer Database to estimate age-specific familial risks of
being diagnosed with PCa according to the number and type
of affected first-degree relatives and, respectively, accord-
ing to the parental and fraternal diagnostic ages. We also
calculate the risks of dying from PCa according to family
history. With a total number of 26 651 PCa patients, of
whom 5623 were familial, this is the largest family study
yet published.
2. Patients and methods
The Swedish Family-Cancer Database was created in the 1990s by
linking information from the Multigeneration Register, national
censuses, Swedish Cancer Registry, and death notifications [10]. Data
on family relationships were obtained from the Multigeneration
Register, in which children born in 1932 and later are registered with
their biological parents as families. Thus the individuals in the database
can be divided into the offspring generation (individuals born in 1932
and later) and the parental generation. The Swedish Cancer Registry is
based on compulsory reports of diagnosed cases, with coverage of the
cancer registration close to 100% [11]. Cases are reported separately by
clinicians and pathologists/cytologists; information on cancers based on
death certificates is not used. The underlying cause of death was
available from the Swedish Causes of Death Register. The 2008 update of
the database includes >11.8 million individuals and their cancers from
1958 to 2006 [12]. Our study population comprised 3.9 million men from
the offspring generation of the database with linkage to both parents.
Most men without identified parents (approximately 850 000) were
immigrants. The age structure of the database (offspring born after 1932)
implies that the maximum age of diagnosis in the offspring generation
was 74 yr. The age at diagnosis in the parental generation was not
limited. Tumour characteristics have been available since 2002
according to the TNM system introduced by the American Joint
Committee on Cancer [13]. However, only T was useful for the present
study because of the abundance of missing information for N and M.
Men in the offspring generation of the database were classified
according to number, type, and diagnostic age of affected first-degree
E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0 277
relatives (father or brother). Hazard ratios (HRs) of diagnosis with PCa
and PCa-specific mortality were estimated using Cox regression; the HR
can be interpreted as an estimate of the relative risk [14] (‘‘PROC
PHREG’’; SAS v.9.1; SAS Institute, Cary, NC, USA). Age-specific HRs were
calculated using time-dependent variables. Individuals entered the risk
period at birth, immigration date, or first year of the study (1961). The
first year of the study was set as 1961 because of lower data quality
between 1958 and 1960. For the analysis of incident PCa, censoring
events were death; emigration; December 31, 2006; absence at census;
and diagnosis of malignancy at sites other than prostate. Men were also
censored at diagnosis of malignancy at sites other than prostate because
their subsequent risk might be different from the risk of the general
population. Men absent at census were censored because they were
probably not living in Sweden anymore. For the analysis of death from
PCa, censoring events were emigration; December 31, 2006; absence at
census; and death from a cause other than PCa. Socioeconomic status,
calendar period, and region were taken into account as covariates.
The Swedish Family-Cancer Database was approved by the Lund
regional ethical committee on August 12, 2008 (No. 409/2008), with
complementary approvals dated September 1, 2009, and January 22, 2010.
3. Results
Table 1 shows the age-specific HRs of diagnosis with PCa
according to number and type of affected first-degree
Table 2 – Age-specific hazard ratios of diagnosis with prostate cancer
0–54 yr 55–64 yr
n HRa 95% CI n HRa 95% C
Father affected
0–59 yr 27 6.14 4.21–8.98 69 3.13 2.47–3
60–64 yr 34 3.41 2.43–4.79 148 2.77 2.36–3
65–74 yr 216 3.83 3.33–4.42 740 2.42 2.25–2
75–82 yr 128 2.25 1.88–2.69 780 2.15 2.00–2
�83 33 1.52b 1.07–2.14 338 1.79 1.61–2
Brother affected
0–59 yr 48 6.62 4.97–8.83 229 4.16 3.65–4
60–64 yr 29 3.72 2.57–5.37 277 3.28 2.91–3
65–74 yr 19 2.76 1.75–4.43 247 2.47 2.18–2
CI = confidence interval; HR = hazard ratio.a p values are <0.0001 unless otherwise stated.b p = 0.02.
Table 3 – Hazard ratio of diagnosis with prostate cancer for men withdiagnosis of youngest affected relative
Affected relatives Age of diagnosis of relative diagnosed at y
Father and brother 0–59
60–64
65–74
Two brothers 0–59
60–64
65–74
Father and two brothers 0–59
60–64
65–74
Three brothers 0–59
60–64
65–74
CI = confidence interval; HR = hazard ratio.a p values are <0.0001 unless otherwise stated.b p = 0.1.
relatives. The HRs increased with the number of affected
relatives and decreased with increasing age. The highest
HRs were observed for men <65 yr of age with three
affected brothers (HR: approximately 23) and the lowest for
men between 65 yr and 74 yr with an affected father (HR:
approximately 1.8). An affected brother conferred a higher
risk than an affected father even in families with more than
one patient.
Table 2 shows the age-specific HRs according to paternal
and fraternal diagnosis age. In general, the HRs increased
with decreasing diagnosis age of the relative and decreased
with increasing age. The HRs ranged from 1.5 for men with a
father affected after 83 yr of age to 6.6 for men before 55 yr
of age with a brother affected before 60 yr of age.
Table 3 lists the HRs for PCa for men with multiple
affected first-degree relatives according to the age of
diagnosis of the affected relative diagnosed at the youngest
age. The HRs were highest for those men whose youngest
diseased relative was diagnosed at an early age (<60 yr).
Table 4 lists the HRs of death from PCa considering the
number and type of affected first-degree relatives. The
results were in line with the results reported earlier on
incident PCa, showing an increase in the risk of death from
according to paternal and fraternal diagnostic age
65–74 yr Any age
I n HRa 95% CI n HRa 95% CI
.97 32 3.06 2.16–4.33 128 3.45 2.90–4.10
.26 59 1.86 1.44–2.40 241 2.52 2.22–2.87
.61 386 2.08 1.88–2.30 1342 2.44 2.31–2.58
.31 420 1.66 1.50–1.83 1328 1.97 1.87–2.08
.00 226 1.52 1.34–1.74 597 1.67 1.54–1.81
.74 102 3.02 2.49–3.67 379 3.94 3.56–4.36
.69 177 2.57 2.22–2.98 483 3.01 2.75–3.29
.80 249 2.40 2.12–2.72 515 2.46 2.25–2.69
multiple affected first-degree relatives according to the age of
oungest age, yr n HRa 95% CI
160 7.63 6.53–8.92
138 5.16 4.36–6.10
104 4.12 3.40–5.00
67 8.79 6.92–11.18
54 6.60 5.06–8.63
23 7.90 5.25–11.90
21 10.86 7.08–16.66
13 7.79 4.52–13.42
2 3.16b 0.79–12.64
23 24.35 16.18–36.64
4 6.89 2.59–18.37
1 – –
Table 4 – Hazard ratio of death from prostate cancer for menwith first-degree relatives diagnosed with prostate cancerconsidering the number and type of affected relatives
Family history n HRa 95% CI
No affected relatives 2113 – –
Father affected 306 1.81 1.61–2.04
One brother affected 139 2.75 2.32–3.26
Father and one brother affected 24 2.96 1.98–4.43
Two brothers affected 15 6.29 3.79–10.46
Father and two brothers affected 5 9.74 4.05–23.43
Three brothers affected 2 8.12b 2.03–32.50
CI = confidence interval; HR = hazard ratio.a p values are <0.0001 unless otherwise stated.b p = 0.003.
Table 6 – Hazard ratio of death from prostate cancer in relativesof men who died from prostate cancer
Relatives died fromprostate cancer
n HRa 95% CI
Father 202 2.08 1.80–2.41
Brother 15 2.30b 1.38–3.81
Father and brother 4 6.86 2.57–18.28
CI = confidence interval; HR = hazard ratio.a p values are <0.0001 unless otherwise stated.b p = 0.002.
E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0278
PCa with the number of affected relatives. However, the
number of deaths among individuals with multiple affected
relatives was small.
Table 5 lists the HRs of death from PCa for men with a
paternal or fraternal history according to the relative’s
diagnosis age. Interestingly, risks were similar when the
father was diagnosed between 75 and 82 yr and when the
diagnosis occurred after 82 yr (HR: approximately 1.6). The
risks were also similar for men with a brother diagnosed
between 60 and 64 yr or between 65 and 74 yr (HR:
approximately 2.6).
Table 6 lists the HRs of death from PCa for men with a
father or brother who died from PCa. Interestingly, the risks
were similar when the father or the brother died from PCa.
Fatal events among individuals with multiple first-degree
relatives who died from PCa occurred only for men whose
father and a single brother died from PCa (four deaths; HR:
approximately 7).
Table 7 shows the distribution of T classes for PCa
diagnosed after 2002 according to family history. Generally,
the distributions of the T classes were similar for men
without family history and for the different types of family
histories.
4. Discussion
The present study shows age-specific familial risks of PCa
according to the number and type of affected first-degree
Table 5 – Hazard ratio of death from prostate cancer for men with anconsidering the relative’s diagnosis age
Relative’s diagnosis age, yrPaternal history
n HRa
0–59 7 2.06b
60–64 23 2.55
65–74 105 1.97
75–82 112 1.67
�83 59 1.63c
CI = confidence interval; HR = hazard ratio.a p values are <0.0001 unless otherwise stated.b p = 0.06.c p = 0.0002.
relatives and according to the relative’s diagnosis age based
on the whole Swedish population up to 74 yr of age and
their parents. A family history is an established risk factor
for PCa, and familial risks have been reported in numerous
studies [3]. However, with a total number of 26 651 PCas, of
which 5623 were familial, this is by far the largest family
study yet published. Most studies report the risks for the
categories ‘‘with an affected brother,’’ ‘‘with an affected
father,’’ and ‘‘with multiple affected relatives’’ [3]. In the
present study, it was also possible to estimate familial risks
for men with multiple affected first-degree relatives
according to number, age at diagnosis, and type (father
or brother) of affected first-degree relatives. Furthermore,
we described the risk of death from familial PCa. The
information on cancer, diagnostic age, cause of death, and
family relationships were obtained from register sources of
high reliability [12]. Thus an important advantage was the
accuracy and completeness of the analysed data, with
minimal biases related to over- and underreporting of
family history, selection, and recall. It has been shown that
missing PCa diagnosed in fathers before the start of cancer
registration in Sweden in the Swedish Family-Cancer
Database does not cause bias to the estimates [15].
The higher HRs for incident PCa in men with a fraternal
history compared with men with a paternal history are in
line with findings from earlier studies [3]. The same pattern
was found for men with multiple affected relatives: If the
same number of first-degree relatives was affected, the risk
was higher when only brothers were diagnosed compared
with the risk when father and brothers were diagnosed. The
fraternal diagnosis age was restricted to 74 yr because this
affected first-degree relative diagnosed with prostate cancer
Fraternal history
95% CI n HRa 95% CI
0.98–4.32 32 3.27 2.31–4.64
1.69–3.85 44 2.55 1.89–3.44
1.62–2.40 63 2.67 2.08–3.43
1.38–2.10 – – –
1.26–2.12 – – –
Table 7 – Distribution of T classes for prostate cancers diagnosed after 2002 according to family history*
T
Affected relatives
None Father Brother Father and onebrother
Two brothers Father and twobrothers
Threebrothers
n % n % n % n % n % n % n %
T0 194 1.5 38 1.7 12 1.4 4 1.7 0 0 0 0 0 0
T1 1795 13.6 319 13.9 115 14.0 39 16.5 9 11.0 1 5.3 1 7.7
T1a 264 2.0 45 2.0 15 1.8 0 0 1 1.2 0 0 0 0
T1b 105 0.8 15 0.7 6 0.7 2 0.8 1 1.2 0 0 0 0
T1c 4736 35.8 873 38.2 324 38.0 88 37.1 28 33.0 6 31.6 7 54.0
T2 3779 28.6 624 27.3 232 27.0 70 29.5 28 33.0 10 52.6 1 7.7
T3 1780 13.4 276 12.1 105 12.0 24 10.1 14 17.0 2 10.5 3 23.0
T4 270 2.0 47 2.1 16 1.9 2 0.8 2 2.4 0 0 1 7.7
Tx 313 2.4 51 2.2 23 2.7 8 3.4 1 1.2 0 0 0 0
13 236 – 2288 – 848 – 237 – 84 – 19 – 13 –
T0 = no evidence of tumour; T1 = tumour present but not detectable clinically or with imaging; T1a = tumour was incidentally found in <5% of prostate tissue
resected; T1b = tumour was incidentally found in >5% of prostate tissue resected; T1c = tumour was found in a needle biopsy performed due to an elevated
serum prostate-specific antigen; T2 = the tumour can be felt but has not spread outside the prostate; T3 = the tumour has spread through the prostatic capsule;
T4 = the tumour has invaded other nearby structures; Tx = primary tumour cannot be assessed.* x2 test for independence of T1c (yes/no) and type of family history: x2 = 6.81; p = 0.33.
E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0 279
is highest age of the second generation in the Swedish
Family-Cancer Database. The differences in the HRs for the
same fraternal and paternal diagnostic ages were smaller.
Although familial clustering of PCa is well established, no
high-risk susceptibility gene has been found [4]. Genome-
wide scans recently identified common variants associated
with an increased risk; the genotype relative risks of these
variants were typically small [4]. Although these variants
might explain a large proportion of the overall PCa
susceptibility, they explain only a small proportion of the
observed familial excess risks [4,16].
The incidence of PCa in Sweden increased about 3-fold
between 1960 and 2006. Between 1996 and 2006, an
average annual increase of 3.7% was noted [11]. The main
increase in the recent period was reported for men in their
60 s [17]. The increase after 1995 was probably associated
with the introduction of nonsystematic (opportunistic)
screening for PCa based on PSA testing, although the
Swedish Council on Technology Assessment in Healthcare
recommended against PSA screening in the general
population in 1995 [17,18]. Familial risks of diagnosis
might be influenced by increased surveillance of familial
cases: Men with a close relative affected by PCa may
participate in screening more often or earlier [7]. This is
particularly relevant for PCa because of the long lead time
for PSA screening [8]. Earlier studies have shown that the
risk of sons and brothers of PCa patients depends on the
time after the diagnosis of the relative, with the risk higher
shortly after the diagnosis of the relative [17]. In the present
study, screening might also have had an influence on the
differences in the age-specific risks according to diagnosis
age of the relative. Unfortunately, we had no information on
which PCa was detected by opportunistic screening.
Therefore, we compared the distribution of the tumour
spread (T classes) in familial and sporadic cases. The
distributions were similar in familial and nonfamilial cases;
the proportions of tumours that were probably found
because of elevated PSA (T1c) were particularly similar.
PCa screening has been shown to cause substantial
overdiagnosis and overtreatment [9,19]. The risk of dying
from PCa rather than the risk of being diagnosed with PCa
might be relevant for clinical counselling and screening
recommendations for men at familial risk. Because no
differences in the prognosis of familial and sporadic PCa
have been found in the latest studies and the distribution
of the tumour spread was similar in familial and sporadic
cases, the increased risk of death in men with a family
history was probably due to the increased incidence
[20,21]; a more detailed analysis of the familial nature of
prognosis can be found elsewhere [22]. Generally, the
pattern of the risk of death from familial PCa was similar
to the incidence data. These risks are probably less biased
upwards through overdiagnosis than those for incident
PCa. Indeed, we found that the increase in the risks for
death from PCa was generally slightly smaller than those
for incident cancer. However, the risk of death in familial
PCa might be biased downwards if men at familial risk
undergo screening more frequently or earlier because
screening decreases the mortality [5]. The numbers of
deaths were small, especially for men with multiple
affected first-degree relatives. The median age of death in
PCa in Sweden is well above 74 yr, which was the
maximum age at follow-up in this study [23]. Therefore,
only a small proportion of the expected deaths in PCa in
the study population had occurred by the end of the
study.
The results of this study should be helpful for the
decision for or against screening or an earlier start of
screening in men at increased risk. Guidelines on PCa
screening recommend average-risk men to be informed
about the risks and benefits of screening at the age of 50 yr
[6,24]. This information may be offered earlier to men with
a first-degree relative diagnosed at a young age (<65 yr) or
to those with multiple affected relatives. The present results
showed that the risk was substantially increased irrespec-
tive of the diagnostic age of the relative. Further research is
E U R O P E A N U R O L O G Y 5 8 ( 2 0 1 0 ) 2 7 5 – 2 8 0280
needed to clarify the benefits and limitations of PCa
screening in men at increased risk.
5. Conclusions
In summary, the risks of diagnosis with PCa and of death
from PCa are increased in men with affected fathers or
brothers. The present results should guide clinical counsel-
ling and demonstrate the vast increases in risk when
multiple first-degree relatives are affected.
Author contributions: Andreas Brandt had full access to all the data in the
study and takes responsibility for the integrity of the data and the
accuracy of the data analysis.
Study concept and design: Hemminki, Lorenzo, Brandt.
Acquisition of data: Sundquist.
Analysis and interpretation of data: Brandt, Hemminki.
Drafting of the manuscript: Brandt, Hemminki.
Critical revision of the manuscript for important intellectual content:
Lorenzo, Sundquist.
Statistical analysis: Brandt.
Obtaining funding: Hemminki.
Administrative, technical, or material support: Sundquist.
Supervision: Hemminki, Lorenzo.
Other (specify): None.
Financial disclosures: I certify that all conflicts of interest, including
specific financial interests and relationships and affiliations relevant to
the subject matter or materials discussed in the manuscript (eg,
employment/affiliation, grants or funding, consultancies, honoraria,
stock ownership or options, expert testimony, royalties, or patents filed,
received, or pending), are the following: None.
Funding/Support and role of the sponsor: This work was supported by
Deutsche Krebshilfe, the Swedish Cancer Society, and the Swedish
Council for Working Life and Social Research.
Acknowledgment statement: The authors acknowledge the Family-
Cancer Database, which was created by linking registers maintained at
Statistics Sweden and the Swedish Cancer Registry.
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