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PLOS Medicine logoLink to PLOS Medicine
. 2021 Jun 1;18(6):e1003616. doi: 10.1371/journal.pmed.1003616

Risk of prostate cancer in relatives of prostate cancer patients in Sweden: A nationwide cohort study

Xing Xu 1,2,#, Elham Kharazmi 1,3,4,#, Yu Tian 1,2, Trasias Mukama 1,2, Kristina Sundquist 3,5,6, Jan Sundquist 3,5,6, Hermann Brenner 1,7,8, Mahdi Fallah 1,3,*
Editor: Paul Pinsky9
PMCID: PMC8168897  PMID: 34061847

Abstract

Background

Evidence-based guidance for starting ages of screening for first-degree relatives (FDRs) of patients with prostate cancer (PCa) to prevent stage III/IV or fatal PCa is lacking in current PCa screening guidelines. We aimed to provide evidence for risk-adapted starting age of screening for relatives of patients with PCa.

Methods and findings

In this register-based nationwide cohort study, all men (aged 0 to 96 years at baseline) residing in Sweden who were born after 1931 along with their fathers were included. During the follow-up (1958 to 2015) of 6,343,727 men, 88,999 were diagnosed with stage III/IV PCa or died of PCa. The outcomes were defined as the diagnosis of stage III/IV PCa or death due to PCa, stratified by age at diagnosis. Using 10-year cumulative risk curves, we calculated risk-adapted starting ages of screening for men with different constellations of family history of PCa. The 10-year cumulative risk of stage III/IV or fatal PCa in men at age 50 in the general population (a common recommended starting age of screening) was 0.2%. Men with 2 FDRs diagnosed with PCa reached this screening level at age 41 (95% confidence interval (CI): 39 to 44), i.e., 9 years earlier, when the youngest one was diagnosed before age 60; at age 43 (41 to 47), i.e., 7 years earlier, when 2 FDRs were diagnosed after age 59, which was similar to that of men with 1 FDR diagnosed before age 60 (41 to 45); and at age 45 (44 to 46), when 1 FDR was diagnosed at age 60 to 69 and 47 (46 to 47), when 1 FDR was diagnosed after age 69. We also calculated risk-adapted starting ages for other benchmark screening ages, such as 45, 55, and 60 years, and compared our findings with those in the guidelines. Study limitations include the lack of genetic data, information on lifestyle, and external validation.

Conclusions

Our study provides practical information for risk-tailored starting ages of PCa screening based on nationwide cancer data with valid genealogical information. Our clinically relevant findings could be used for evidence-based personalized PCa screening guidance and supplement current PCa screening guidelines for relatives of patients with PCa.


Xing Xu and co-workers assess prostate cancer risk in relatives of men with prostate cancer.

Author summary

Why was this study done?

  • Family history is the strongest known risk factor for prostate cancer (PCa), and current guidelines concur that an earlier screening for men with a family history of PCa is necessary.

  • However, limited evidence-based guidance is available on at what age actually this early screening should start.

  • This study was conducted to provide precise recommendations about at what age should relatives of PCa patients start screening based on the number of affected relatives and the age at onset of PCa in the family.

What did the researchers do and find?

  • In this nationwide study on 6,343,727 men, the risk of stage III/IV or fatal PCa in close family members of patients with PCa was estimated.

  • It was observed that men with family history of PCa reach the screening risk threshold up to 12 years earlier than the general population.

  • This study found that age, age at diagnosis of PCa in relative/s, and number of affected first-degree relatives (FDRs) are important elements in increased risk of stage III/IV or fatal PCa, and these factors accordingly resulted in different risk-adapted starting ages of PCa screening.

  • Comparison between our evidence-based risk-adapted starting age of screening and recommended age of PCa screening by different guidelines showed a difference ranging from −2 to 11 years.

What do these findings mean?

  • This study made use of the largest dataset available, to our knowledge, to identify the optimal age for starting PCa screening in relatives of patients with PCa.

  • This study took into account not only the number of relatives but also age at onset of PCa in the family members, which is an additional important piece of information for the guidelines.

  • The results may contribute to a more evidence-based personalized PCa screening guidance in real-world settings, and clinicians could inform patients with PCa about this possibility and encourage individualized counseling for their relatives.

Introduction

Prostate cancer (PCa) is the second most common cancer in men (age-standardized incidence rate 29.3 per 100,000) and a major cause of cancer deaths (age-standardized mortality rate 7.6 per 100,000) in the world [1]. The etiology of PCa has remained poorly understood, and measures for primary prevention are scarce. Age, ethnicity, and family history are known risk factors for PCa [2].

Because of growing concerns about overdiagnosis and overtreatment of indolent and early-stage PCa, the United States Preventive Services Task Force (USPSTF) recommended against the routine use of the prostate-specific antigen (PSA) testing for PCa screening [37]. Thereafter, continuous decline in the overall incidence of PCa has been observed. However, the incidence of late-stage PCa with poor prognosis has increased [6]. The Task Force revised their recommendation in 2018 for men aged 55 to 69 years to an informed decision-making about the PSA testing for PCa screening when an updated review suggested that screening offers a benefit in reducing PCa mortality in this age group [8,9]. However, they were not able to make a separate, specific recommendation on PSA-based screening for PCa in men with a family history of PCa, due to lack of evidence-based information in this regard [9].

It is generally accepted that men with a family history of PCa are at higher risk of developing this cancer and should be considered as high-risk group for PCa. Previous studies have reported that having a brother or father with PCa doubles a man’s risk of developing this cancer [10,11]. Earlier screening in family members of patients with PCa as high-risk population has been suggested by some guidelines and recommendations [9,1218]. However, there is concern about overdiagnosis of indolent and very early-stage PCa in relatives of patients with PCa, which may result in overtreatment and more harm than benefit for them [8,19,20]. Limited evidence-based guidance is available on exactly at what age should screening in relatives of patients with PCa be started. In other words, current guidelines in this regard can be perceived as an extrapolated and rather intuitive best guess concerning the starting age of screening. Guidelines for screening in such affected families lack precise recommendations according to the number of affected relatives and the onset of PCa in the family. Therefore, further investigations are needed to provide the risk of life-threatening PCa (late-stage or fatal PCa) in family members of patients with PCa who may benefit most from earlier screening and treatments possibilities. Furthermore, the question of “At what age these high-risk men should undergo screening?” warrants an evidence-based answer. To fill in these gaps, we aimed to provide clinically relevant evidence to be used for risk-adapted starting age of screening for relatives of patients with PCa who are at high risk of stage III/IV or fatal PCa using the world’s largest nationwide register-based family-cancer datasets.

Methods

All men residing in Sweden who were born between 1932 and 2015 along with their fathers were included in this study. Information from the Multi-Generation Register, national censuses, Swedish Cancer Registry, and death notifications were linked using a unique national identification number. These datasets have been described in detail elsewhere [21]. In brief, data on family relationships were obtained from the Multi-Generation Register, where children born after 1931 are registered with their parents as families. In this nationwide cohort study, full information on participants’ fathers’ life spans (if not restricted by beginning/end of cancer registry data or immigration/emigration) was available in the study, but offspring were followed up to age 84 years. This register was linked to the Cancer Registry Data from 1958 to 2015. A 4-digit diagnostic code according to the International Classification of Diseases-7th Revision (ICD-7) and subsequent ICD classifications were available. The underlying cause of death was available from the Swedish Cause of Death Register. The Swedish Cancer Registry and Cause of Death Register have been reported to have high level of completeness (about 96%) and accuracy [22,23]. The 2015 version of the database (updated in 2017) includes >12.8 million individuals (6,343,727 men) with available genealogical information, and >2.2 million primary invasive cancer records.

The Swedish National Board of Health and Welfare does not recommend a countrywide population-based PSA screening program for men [24]. However, to mitigate the overestimation of familial risk due to aggregation of indolent (opportunistic screen-detected) cancers in the families, we used the occurrence of stage III/IV or fatal PCa as the outcome. The exposure of interest was having a history of PCa (regardless of Tumor, Nodes, Metastases [TNM] stage or cancer-specific death status) in first-degree relatives (FDRs: father, brother, or son). The outcome was either diagnosis of stage III/IV PCa at the time of first diagnosis (based on the American Joint Committee on Cancer, 8th edition of cancer TNM staging) and/or death due to PCa [25]. The death was considered due to PCa when PCa was reported as the main underlying cause of death. As data on PSA and Gleason score/grade group were not available in the Swedish Cancer Registry, in this study, only those with “T3-4, N0, and M0” status were considered as stage III PCa. Those with “T1-2, N0, and M0” status were not considered as “with outcome” unless they died of PCa. These mean that the cancer has grown outside the prostate, broken through the capsule (covering) of the prostate gland, and might have spread to the seminal vesicles (T3), or it has spread into other tissues next to the prostate, such as the urethral sphincter, bladder, rectum, and/or the wall of the pelvis (T4). It has not spread to nearby lymph nodes (N0) or elsewhere in the body (M0). Stage IV was defined as either “Any T, N1, and M0” or “Any T, Any N, and M1,” which means that the cancer has spread to either nearby lymph nodes (N1) or elsewhere in the body (M1). The follow-up started at birth, immigration date, or starting date of the study, January 1, 1958, whichever came latest. The follow-up ended on the year of PCa diagnosis, year of death, emigration, or closing date of the study, December 31, 2015, whichever came earliest.

In this study, a dynamic definition of family history of PCa (and not the static approach) was used to consider the changes in family history over time. Both methods and the superiority of the dynamic approach for the purpose of our risk stratification study have been discussed in detail elsewhere [26]. In brief, the dynamic family history of PCa in every participant was defined at entry into the study, and it changed every time that a new family member was diagnosed with PCa. For instance, if there was an index man with 2 brothers who were diagnosed with PCa in 1992 and 1998 and he himself was diagnosed with PCa in 1995, under the dynamic definition of family history, the brother diagnosed in 1998 would not be counted into the family history of index man since in real-world scenario, one does not know the future history of their relatives. When a man had only 1 FDR diagnosed with PCa, he would be considered as men in group “1 FDR.” Once the second FDR was diagnosed, he would shift to the group “>1 FDR” until his own diagnosis of stage III/IV or fatal PCa or the end of follow-up. This represents the actual change in the real-world when men mostly learn about the diagnosis of their close relatives at different time points of their life. For each year in the follow-up of individuals, we updated the family history profile for every index man, representing the real-time status (number and youngest age at diagnosis among relatives) of individuals with PCa diagnosed in his family. Occurrence of PCa in family members after the date of PCa diagnosis in the index patient was not considered in familial risk calculations.

The 10-year cumulative risk was calculated based on the following equations [27]:

  • Age-specific annual incidence rate = Number of cases during each 1-year follow-up divided by person-years

  • 10-year cumulative rate for age X = Sum of 10 consecutive annual age-specific incidence rates from age X to age X+9

  • 10-year cumulative risk = 1 –exp (–10-year cumulative rate)

Exact values for person-years from individual data were used in the calculation of cumulative incidences. Risk-adapted starting ages of screening were determined by the age at which men with different constellations of family history of PCa reached the same level of risk as men in the general population at benchmark ages 40, 45, 50, 55, or 60 years. This approach of calculating risk-adapted starting age of cancers has already been already applied to some other cancers [2830]. The 95% confidence intervals (CIs) of age-specific 10-year cumulative risk were calculated using the 2.5 and 97.5 percentiles of the bootstrap estimate distribution made by bootstrapping method (200 replications), from which CIs of proposed starting ages (ages of reaching mass screening level of risk) were derived according to the abovementioned formula for conversion of rate to risk.

All our suggested risk-adapted starting age of PCa screening are based on the age at which the risk of stage III/IV and/or lethal PC reaches the same level as such risk for men at benchmark starting age of screening in the general population. A sensitivity analysis was conducted to compare results for period 1990 to 2015 (after introducing PSA testing) and for the whole study period (1958 to 2015). All analyses were performed using SAS 9.4 (SAS Institute, Cary, North Carolina, US). The study protocol was approved by the Lund Regional Ethics Committee (2012/795). Pseudonymized data were used for our analyses. This study is reported as per the REporting of studies Conducted using Observational Routinely-collected health Data (S1 RECORD Checklist) guidelines [31]. The analyses were planned ahead, and no data-driven changes to analyses took place (S1 Analysis Plan). Some new analyses were conducted as requested by reviewers (e.g., 95% CIs, comparison of results for period 1990 to 2015 with the ones for the whole study period, and risk of PCa for men with one affected FDR who had 0/1/more brothers without PCa).

Results

During the follow-up of 6,343,727 men (aged 0 to 96 years at baseline), a total of 88,999 patients were diagnosed with stage III/IV PCa or died due to PCa. Taking the dynamic nature of family history into account, 4.3% of patients with stage III/IV or fatal PCa had at least 1 FDR with PCa before the time of their diagnosis, whereas using the static approach, 13% of patients with stage III/IV or fatal PCa had at least 1 FDR with PCa before the time of their diagnosis. The risk of being diagnosed with stage III/IV or fatal PCa in the next 10 years for men at age 45 in the general population was 0.1%; at age 50, this risk was 0.2%, at age 55, 0.6%, and at age 60, 1.3%.

Risk by number of affected relatives

The 10-year cumulative risk of invasive PCa increased with increasing age and number of affected relatives (Figs 1 and 2). For example, at age 50 (a common benchmark starting age of screening for PCa), the 10-year cumulative risk of being diagnosed with stage III/IV PCa or fatal PCa for men in the general population was 0.2% (Table 1). Men with only 1 affected FDR reached this screening level of risk at age 46, and those with 2 affected FDRs, at age 41. For people with no family history of PCa, their risk of stage III/IV or fatal PCa was slightly lower than the general population (Fig 1). Similar patterns were seen in other benchmark starting ages of PCa screening (Table 1). An additional analysis was done to compare the risk of PCa for men with 1 affected FDR who had 0/1/more brothers without PCa, and the results showed that the number of unaffected brothers does not change the results substantially (S1 Fig).

Fig 1. Age-specific 10-year cumulative risk of stage III/IV PCa or fatal PCa by age at diagnosis of invasive PCa in the affected FDR.

Fig 1

The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. Dx, diagnosis; FDR, first-degree relative; PCa, prostate cancer.

Fig 2. Age-specific 10-year cumulative risk of stage III/IV or fatal PCa by youngest age at diagnosis of invasive PCa in men with ≥2 affected FDRs.

Fig 2

The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. Dx, diagnosis; FDR, first-degree relative; PCa, prostate cancer.

Table 1. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by number of affected FDRs and youngest age at diagnosis of relatives using 10-year cumulative risk.

Family history Age at diagnosis of youngest relative, y Cancer patients (N) Risk-adapted starting age of screening, y (95% CI)
Population [benchmark age] - 88,999 [45] [50] [55] [60]
1 FDR All ages 3,576 41 (41–42) 46 (45–46) 51 (50–51) 56 (55–56)
<60 449 39 (37–41) 43*(41–45) 48 (46–50) 53 (52–55)
60–69 1,117 41 (40–42) 45 (44–46) 50 (49–51) 54 (54–55)
≥70 2,010 42 (41–43) 47 (46–47) 52 (51–52) 56 (56–57)
≥2 FDRs All ages 311 39 (39–42) 41 (39–45) 44 (42–47) 48 (46–51)
<60 120 39 (38–42) 41 (39–44) 44 (41–47) 48 (44–51)
≥60 191 41 (40–45) 43 (41–47) 46 (43–49) 49 (45–52)
10-year cumulative risk in the general population 0.1% 0.2% 0.6% 1.3%

Bold ages 45, 50, 55, and 60 indicate benchmark starting ages of PCa screening in the general population.

*Example: When recommended benchmark starting age of PCa screening in the general population was 50 years, men who had a history of PCa diagnosed before age 60 in 1 FDR attained the same risk level of 50-year-old men in the general population (0.2%) at age 43 and thus they could start screening 7 years earlier.

CI, confidence interval; FDR, first-degree relative; PCa, prostate cancer.

Risk by age at diagnosis in relatives

Younger age at diagnosis of PCa in FDRs was associated with higher risk of stage III/IV or fatal PCa in other family members (Figs 1 and 2). For example, for screening benchmark starting age of 50 years, the age of reaching screening level risk for those with only 1 affected FDR diagnosed before age 60 was 7 years earlier than the general population; for those with 1 affected FDR at age 60 to 69, 5 years earlier; with 1 FDR diagnosed at age 70 or older, 3 years earlier; with 2 FDRs before age 60, 9 years earlier; and with 2 FDRs at age 60 or older, 7 years earlier (Table 1). Similar patterns were seen in other benchmark starting ages of screening.

Risk by type of affected relatives (father versus brother)

We additionally conducted the analyses stratified by type of affected relatives (father versus brother; S1 Table), and the results were quite similar. For instance, when recommended benchmark starting age of PCa screening in the general population was 50 years, men who had a history of PCa diagnosed between age 60 and 69 only in 1 brother or only in his father attained the same risk level of 50-year-old men in the general population at age 45.

Fifteen-year and 20-year cumulative risks

We additionally conducted the analyses using 15-year and 20-year cumulative risks, which resulted in quite similar ages of reaching the same level of risk of stage III/IV and/or lethal PCa as risk in 50-year-old men in the general population (S2 and S3 Tables). For instance, when recommended benchmark starting age of PCa screening in the general population was 50 years, men who had a history of PCa in 1 FDR diagnosed between age 60 and 69 attained the same corresponding 10-year, 15-year, and 20-year cumulative risk levels of 50-year-old men in the general population at age 45.

Comparison with recommendations by guidelines

We also compared our evidence-based risk-adapted starting ages of screening for PCa with mostly experts’ opinion-based starting ages of PCa screening recommended by current guidelines (Table 2). Our risk-adapted starting ages of PCa screening, which were based on the consideration of history of PCa in FDRs and their age at diagnosis, were substantially (up to 11 years) younger than the general starting ages for PCa screening recommended by different guidelines. For example, when recommended benchmark starting age of PCa screening in the general population was 55 years, men with 2 FDRs diagnosed with PCa after age 60 attained the same risk level of 55-year-old men in the general population at age 46. This was 9 years earlier than the recommended age by American Urological Association (AUA) Guideline and the PCa screening recommendation by the USPSTF.

Table 2. Comparison between our evidence-based risk-adapted starting age of screening and recommended age of PCa screening by different guidelines.

Recommended starting age (years) in population→ 45 50 50 55
Family history Youngest relative’s age at diagnosis (years) NCCN Evidence1 Diff.2 EAU, CUA, and ACP Evidence1 Diff.2 ACS Evidence1 Diff.2 AUA and USPSTF Evidence1 Diff.2
1 FDR <60 45 39 6 45 43 2 45 43 2 55 48 7
60–69 45 41 4 45 45 0 50 45 5 55 50 5
≥70 45 42 3 45 47 −2 50 47 3 55 52 3
≥2 FDRs <60 45 39 6 45 41 4 45 41 4 55 44 11
≥60 45 41 4 45 43* 2 50 43* 7 55 46 9

1 The recommended evidence-based risk-adapted starting age of screening from our study.

2 Difference: age recommended by guideline minus our evidence-based risk-adapted age.

*Example: When recommended benchmark starting age of PCa screening in the general population was 50 years, men with 2 FDRs diagnosed with PCa after age 60 attained the same risk level of 50-year-old men in the general population at age 43 and thus they could start screening 7 years earlier. This was 7 years earlier than the recommended age by ACS and 2 years earlier than that of EAU, CUA, and ACP.

ACS, American Cancer Society guideline for the early detection of prostate cancer: update 2010; ACP, Screening for prostate cancer: a guidance statement from the Clinical Guidelines Committee of the American College of Physicians; AUA, American Urological Association Guideline; CUA, Canadian Urological Association recommendations on prostate cancer screening and early diagnosis; EAU, European Association of Urology (EAU)—European Society for Radiotherapy & Oncology (ESTRO)—International Society of Geriatric Oncology (SIOG) EAU-ESTRO-SIOG Guidelines on Prostate Cancer; FDR, first-degree relative; NCCN, The National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology for Prostate Cancer Early Detection Version 2.2016; PCa, prostate cancer; USPSTF, Screening for Prostate Cancer: US Preventive Services Task Force Recommendation Statement.

Sensitivity analysis

A sensitivity analysis by calendar period at diagnosis comparing the results for the period 1990 to 2015 to the ones for the whole period (1958 to 2015) was conducted, and the analysis showed consistent results (S2 Fig).

Discussion

Findings of the study

Our study estimated the risk of stage III/IV or fatal PCa in family members of patients with PCa. Furthermore, we supplied practical information on the risk-adapted starting age of screening for family members of patients with PCa. We showed that age, age at diagnosis of PCa in relative/s, and number of affected FDRs are important elements in increased risk of stage III/IV or fatal PCa, and these factors accordingly resulted in differing risk-adapted starting ages of PCa screening. We calculated how many years earlier men with a history of PCa in their FDRs reach the same screening level of stage III/IV or fatal PCa risk as their peers in the general population. We also provided risk-adapted starting ages for other benchmark screening ages, such as 45, 55, and 60 years, to fit in different population with different risk level of stage III/IV or fatal PCa. This large-scale cohort study showed that relatives of patients with PCa reached the screening level of risk up to 11 years earlier than the recommended ages of PCa screening by current guidelines in North America and Europe [9,1218].

Comparisons with other studies

We found that early-onset PCa in relatives and higher number of affected close relatives are associated with increased risk of stage III/IV or fatal PCa, which are in line with previous studies on familial risk of invasive PCa without considering the stage at diagnosis [3235]. However, by assessing the familial risk only for stage III/IV or fatal PCa, we tried to mitigate the increased familial risk due to overdiagnosis because diagnosis of PCa in a man with an aggressive outcome after diagnosis of PCa in a relative cannot be attributed to overdiagnosis. Furthermore, previous studies provided no practical information for personalized age of initiation of PCa screening based on different constellations of family history. We calculated the risk-adapted starting age of PCa screening based on our familial risk estimates driven from the world’s largest nationwide family-cancer datasets. It has been reported before that the number of relatives (family size) does not affect PCa risk [36]. However, an additional analysis was conducted to compare the risk of PCa for men with 1 affected FDR who had 0/1/more brothers without PCa diagnosis, and the results showed similar estimated risk-adapted starting ages of screening by number of unaffected brothers.

The risk of developing familial cancer has been proposed to depend both on a person’s own age and on the age at which their relatives receive a diagnosis of a concordant cancer [34]. Familial cancers are early onset mainly in those individuals whose family members are affected at early ages [34]. This dual dependence on age was also evident in our results, as the highest familial risk of early-onset stage III/IV or fatal PCa was observed in patients whose FDRs received a PCa diagnosis at younger ages. It is possible that the age at diagnosis of cancer in family members could be affected by PSA screening, for which we had no data. No national population-based PSA screening program has ever been recommended in Sweden, and organized PSA testing was implemented in some parts of Sweden only since 2019 [37]. Despite this, an additional sensitivity analysis was performed to compare risk estimations over different calendar periods, and the results were consistent. A recent study has shown that even family history of prostate borderline or in situ carcinoma (mostly screen-detected lesions) and their age at diagnosis are rather equally important and should be taken into account in counseling patients and their relatives [38].

To our knowledge, the American Cancer Society (ACS) Recommendations for Prostate Cancer Early Detection is the only official guideline that currently takes both the number of affected relatives with PCa and age at diagnosis of PCa in the relative into account. It recommends that men who have an FDR diagnosed with PCa before age 65 should start screening 5 years earlier than average-risk men in the general population [15]. In general, our results based on nationwide data showed that risk-adapted starting age of screening for relatives of patients with PCa differs with different family constellation and age at diagnosis of PCa in their relatives and could be up to 11 years earlier than current recommendations. Although the incidence rate of PCa varies by geography and race/ethnicity, the familial risks of cancers are generalizable across populations with approximately similar cancer incidence and pattern [39]. Thus, the risk advancement time (the difference between the age at which the whole male population and the age at which men with a particular family history constellation attain screening-level risk) is likely to be similarly generalizable. Nevertheless, it would be optimal for the risk-adapted starting ages of screening to be externally validated in countries with population compositions different from Sweden. Besides, we also provided risk-adapted starting ages of screening for populations at different benchmark starting ages of screening, which could be used in countries with other benchmark ages than 50 years.

Another commonly neglected issue in previous familial PCa studies is the time-dependent nature of family history in the real world. Generally, family history of PCa has been dealt with as a static variable (having ever a family history of PCa or not) in spite of the dynamic nature of family history, which changes over time when a new family member is affected. In our study, we used the dynamic definition of PCa family history, which means that changes in status of PCa family history during the lifetime of an individual have been taken into account, making our results more meaningful for defining risk-adapted starting ages of screening in a real-world setting. One should note that using the dynamic method of family history assessment has nothing to do with or against the constant predisposing genes in families; it is only a method to derive more accurate estimates in risk prediction studies to be used for risk stratification in clinic.

Individuals with a family history of PCa, irrespective of number of affected relatives with PCa and age at diagnosis of PCa in the relative, have been recommended to be screened 5 years earlier than the proposed year of screening for the general population by 3 guidelines [1214]. This recommendation was based on one study from a population-based registry in Utah state in the US [1214,33]. However, in that study, which included 636,443 men (10% of our study population), only relative risk estimates were calculated under the static definition of family history, and no starting age of screening was provided, similar to other previous studies on familial risk of PCa that were not designed to provide risk-adapted starting age of screening [3235]. In a real-world scenario, family history is not fixed, but changes during lifetime. However, this time-varying nature of family history has been commonly ignored in studies on PCa familial risk.

Strengths and weaknesses

Apart from novel approaches in this study, which resulted in firsthand information that could be used for risk-adapted (personalized) starting age of PCa screening, we used the largest familial cancer datasets available to our knowledge, and our analyses considered the number of relatives affected, age at diagnosis of relatives, and timing of the cancer events in relatives in a more comprehensive way than in previous studies [3235]. We used only risk of stage III/IV or fatal PCa as the outcome to mitigate the overestimation of familial risk due to aggregation of indolent (screen-detected) cancers in families. Another important advantage of our study was the accuracy and completeness of the analyzed datasets, mitigating biases related to over- and underreporting of family history, selection, and recall biases, as we utilized register-based family history (not patients’ self-reports) and medically verified cancer status from long-standing nationwide cancer registry data. Moreover, we also calculated the 15- and 20-year cumulative risks of advanced PCa with consistent estimates for starting ages, which adds to the robustness of our results.

We had no data on genetic information; however, family history, which represents familial risk stemming from shared genetic and shared environmental factors, is still the strongest risk factor for PCa that plays an important role in risk evaluation and decision-making about initiation of PCa screening [2,40,41]. The level of screening affects the proportion of men with a family history, which, in turn, would affect the proportion of men having to be screened at earlier ages. It could also affect the excess risk of stage III/IV or fatal cancer associated with a family history, since with screening a higher proportion of cases in relatives would be indolent. Thus, the excess risk of stage III/IV or fatal PCa associated with a family history could be lower in a highly screened population. Sweden with PCa mortality higher than many other developed countries is not considered as a highly screened country [1]. PSA testing prevalence has previously been shown to vary across different regions of Sweden [42,43]. Data from Stockholm region showed that, during 2010 and 2011, 25%, 40%, and 46% of men aged 50 to 59, 60 to 69, and 70 to 79 had a PSA test, respectively, whereas less than 20% of the male population underwent PSA testing in a large healthcare region in Sweden [43,44]. The stage III/IV or lethal familial risk estimations could have been diluted when men with family history of PCa were diagnosed early due to actively seeking earlier PSA screening and did not die of PCa compared to men without family history, although a previous study has reported that familial aggregation of PCa is not due to screening habits shared in a family [45]. Screening practice may change the reference group in calculation of familial relative risk of aggressive PCa (e.g., in terms of standardized incidence ratio). However, our results based on cumulative risk of aggressive PCa that has no reference group is not affected by screening practice, and this explains the stable results over different periods in the sensitivity analysis that we conducted. Another limitation of this study was the rather homogeneity of Swedish population, which did not allow stratified analyses by race/ethnicity. However, as different starting ages of screening are (or should be) recommended for different races/ethnicities or countries, the possible risk-adapted starting ages of screening for populations at different benchmark starting ages of screening were provided to fit in with races/ethnicities/countries that have different risk levels of PCa.

Implications of findings

Family history as the strongest risk factor for PCa plays an important role in risk evaluation and decision-making about initiation of PCa screening [2,40,41]. However, the latest USPSTF in 2018 was not able to make a separate, specific recommendation on PSA-based screening for PCa in men with a family history of PCa, mainly due to lack of evidence-based information in this regard and the potential to increase more harm than benefit due to overdiagnosis of PCa [9]. Vickers and Lilja demonstrated that one can identify men at increased risk for advanced PCa at early middle age [46]. They suggested that most advanced cancers can be detected with sufficient lead time to allow curative therapy. A breakthrough paper suggested that risk-adapted PSA screening based on an early PSA value in men 45 to 49 year of age were correlated to metastasis or death from PCa about 25 to 30 year later [47]. A rather recent review suggested that screening offers a benefit in reducing PCa mortality. The controversy surrounding the screening of PCa is that most screening-detected cancers are indolent or of early stage without much impact on PCa mortality, and by current PCa screening strategies, screening numbers needed to prevent one death due to PCa is too high [20,48,49]. Therefore, screening strategies for PCa should be shifted to target men at high risk of developing aggressive PCa to reduce mortality from this cancer. Any screening recommendations must consider the false positives and potential harms from screening individuals earlier. Side effects of longer treatment and extended active surveillance associated with earlier screening should be also taken into account. Screening programs must weigh both the sensitivity and specificity. Familial aggregation of both incident and fatal PCa had been observed, and in fact, it has been suggested that starting screening before any PCa is diagnosed in a family appears not to be warranted [41,45]. However, considering a large proportion of men for whom the family history-based risk-adapted screening does not apply, further investigation by incorporating additional information on common variants and other risk factors is important to improve PCa screening and prevention in a more personalized manner.

A rather elaborate anamnesis of family history is important in implementing the findings of this study into clinical practice. A simple question—“How many relatives if any had PCa in family” would be insufficient for this purpose. As shown by our data, higher number and younger age at diagnosis of affected FDRs are both important factors associated with increased risk of aggressive/fatal PCa. A pilot test of oncological practices showed complete family history report rates of 77% in FDRs and 61% in second-degree relatives, but age at diagnosis was recorded in only one-third of them [50]. In order to benefit from results of this study, detailed family history of close relatives (father, brother, and son) would be needed along with the age at diagnosis of PCa in them (<60, 60 to 69, ≥70 years), which is of course easier to obtain than the exact age at diagnosis for each affected family member.

The American Society of Clinical Oncology guideline also recommends that emphasis should be put on careful documentation of the family history of close relatives [51]. Self-reports can still serve as an important source of information in clinical counseling since only information of close relatives would be needed. For countries with mature registry (or electronic health record) system like Sweden, family history could be technically taken from register-based datasets, although, to our knowledge, this is not the case in any country. A recent practice improvement project at Mayo Clinic showed that enhanced family history screening was a low cost but effective method for individualized cancer surveillance [52]. Various tools for family history collection are being developed, and systematic reviews have shown a 46% to 78% improvement in data collection [53,54]. As an attempt to alleviate the burden of physicians, health policy makers could remove the system barriers and facilitate the development and implementation of family history collection tools (e.g., by providing websites, software, and/or apps to collect the necessary family history before the actual visit of men to the physician). Adequate health education to the lay population seems also very important for timely assessment of risk profile. Health economic studies are warranted to encourage insurances to cover cost of evidence-based personalized early screening in high-risk men.

As an effort toward individualized screening, in contrast to the past one-size-fits-all strategy, based on findings of this study, we suggest to divide men with family history into 5 diversified groups to be able to propose more accurate screening and prevention interventions according to their risk levels. The goal of precision medicine and the utilization of family history in the disease risk assessment are highly aligned [54]. Further researches are warranted about practicalities of implementing screening based on family history and comparison of cost-effectiveness of risk-adapted screening versus that of current age-based screening practice.

The risk-adapted starting age of PCa screening for men with a family history of PCa ranged from 3 to 12 years earlier than men in the general population according to the number of affected FDRs and youngest age at diagnosis of relatives. Clinician can inform patients with PCa about the possible earlier screening in their FDRs. Patients can encourage their close relatives to seek early counseling with their doctor to find out the appropriate age of initial PCa screening for them based on their specific detailed family history. Country-specific clinical guidelines need to recommend men to start PCa screening at different ages based on their family history and age at diagnosis of PCa in their families. Results of our study (summarized in Table 1) can be easily used by clinicians based on answers to the following 2 simple questions:

  • 1) How many of your close relatives (father, brothers, or sons) have ever received a prostate cancer diagnosis?

  • 2a) If the answer to first question is 1, then ask:

    • Was the relative diagnosed before age 60 years, between 60 and 69, or at 70 or older?

  • 2b) If the answer to first question is 2 or more, then ask:

    • Was any of relatives diagnosed before age 60 years?

Of course, if the family history is going to be used for future research, it would be ideal to record exact number of affected relatives, their ages at diagnoses, and calendar years of their diagnoses when possible [26]. As an example, according to Table 1, when recommended benchmark starting age of PCa screening in the general population in a country is 50 years, men who had 1 FDR diagnosed with PCa before age 60 could start screening at age 43, i.e., 7 years earlier than his counterparts in the general population. If there were 2 FDRs with PCa in the family of that man, one diagnosed before age 60 and the other diagnosed after age 60, the youngest age at diagnosis would be before age 60, and therefore, the man could be screened at age 39, i.e., 11 years earlier.

Conclusions

In conclusion, this study provides novel information that could be used for risk-adapted starting age of screening in FDRs of patients with PCa based on the world’s largest nationwide register-based family-cancer datasets. The results can contribute to evidence-based personalized PCa screening guidance. Clinicians could inform patients with PCa about this possibility and encourage personalized counseling for their relatives. Our findings provide practical information to supplement current guidelines for PCa screening.

Supporting information

S1 RECORD Checklist. The RECORD statement—checklist of items, extended from the STROBE statement, which should be reported in observational studies using routinely collected health data.

RECORD, REporting of studies Conducted using Observational Routinely-collected health Data; STROBE, Strengthening The Reporting of OBservational Studies in Epidemiology.

(DOCX)

S1 Fig. Age-specific 10-year cumulative risk of stage III/IV PCa or fatal PCa by family size (number of brothers in family) in men with 1 affected FDR.

The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. FDR, first-degree relative; PCa, prostate cancer.

(TIF)

S2 Fig. Age-specific 10-year cumulative risk of stage III/IV PCa or fatal PCa in men with 1 or ≥2 affected FDRs by calendar period (1958–2015 and 1990–2015).

The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. FDR, first-degree relative; PCa, prostate cancer.

(TIF)

S1 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by type of affected relatives and age at diagnosis of the relative using 10-year cumulative risk.

PCa, prostate cancer.

(DOCX)

S2 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by number of affected relatives and youngest age at diagnosis of FDRs using 15-year cumulative risk.

FDR, first-degree relative; PCa, prostate cancer.

(DOCX)

S3 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by number of affected relatives and youngest age at diagnosis of FDRs using 20-year cumulative risk.

FDR, first-degree relative; PCa, prostate cancer.

(DOCX)

S1 Analysis Plan. Statistical analysis plan.

(DOCX)

Abbreviations

ACS

American Cancer Society

AUA

American Urological Association

CI

confidence interval

FDR

first-degree relative

ICD-7

International Classification of Diseases-7th Revision

PCa

prostate cancer

PSA

prostate-specific antigen

RECORD

REporting of studies Conducted using Observational Routinely-collected health Data

TNM

Tumor, Nodes, Metastases

USPSTF

United States Preventive Services Task Force

Data Availability

This study made use of the Swedish Cancer Registry data. Data from the nationwide registers cannot be shared by study authors, however further information and relevant contact details can be found on: https://www.socialstyrelsen.se/en/statistics-and-data/registers/register-information/ Postal address: Socialstyrelsen, SE-106 30 Stockholm, Sweden Phone: +46 (0)75 247 30 00 Fax: +46 (0)75 247 32 52 E-mail: socialstyrelsen@socialstyrelsen.se Links for Swedish Cancer Registry: https://www.socialstyrelsen.se/en/statistics-and-data/registers/register-information/swedish-cancer-register/ Email address: cancerregistret@socialstyrelsen.se.

Funding Statement

XX received scholarship from the China Scholarship Council (www.chinesescholarshipcouncil.com/). KS (grant number 2018-02400) and JS (grant number 2020-01175) were supported by grants from the Swedish Research Council (www.vr.se/english.html). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
  • 2.Attard G, Parker C, Eeles RA, Schroder F, Tomlins SA, Tannock I, et al. Prostate cancer. Lancet. 2016;387(10013):70–82. 10.1016/S0140-6736(14)61947-4 [DOI] [PubMed] [Google Scholar]
  • 3.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66(1):7–30. 10.3322/caac.21332 [DOI] [PubMed] [Google Scholar]
  • 4.Moyer VA, Force USPST. Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157(2):120–34. 10.7326/0003-4819-157-2-201207170-00459 [DOI] [PubMed] [Google Scholar]
  • 5.Hu JC, Nguyen P, Mao J, Halpern J, Shoag J, Wright JD, et al. Increase in Prostate Cancer Distant Metastases at Diagnosis in the United States. JAMA Oncol. 2017;3(5):705–7. 10.1001/jamaoncol.2016.5465 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kelly SP, Anderson WF, Rosenberg PS, Past CMB. Current, and Future Incidence Rates and Burden of Metastatic Prostate Cancer in the United States. Eur Urol Focus. 2018;4(1):121–7. 10.1016/j.euf.2017.10.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wu JN, Fish KM, Evans CP, Devere White RW, Dall’Era MA. No improvement noted in overall or cause-specific survival for men presenting with metastatic prostate cancer over a 20-year period. Cancer. 2014;120(6):818–23. 10.1002/cncr.28485 [DOI] [PubMed] [Google Scholar]
  • 8.Fenton JJ, Weyrich MS, Durbin S, Liu Y, Bang H, Melnikow J. Prostate-Specific Antigen-Based Screening for Prostate Cancer: Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA. 2018;319(18):1914–31. 10.1001/jama.2018.3712 [DOI] [PubMed] [Google Scholar]
  • 9.US Preventive Services Task Force, Grossman DC, Curry SJ, Owens DK, Bibbins-Domingo K, Caughey AB, et al. Screening for Prostate Cancer: US Preventive Services Task Force Recommendation Statement. JAMA. 2018;319(18):1901–13. 10.1001/jama.2018.3710 [DOI] [PubMed] [Google Scholar]
  • 10.Brandt A, Bermejo JL, Sundquist J, Hemminki K. Age at diagnosis and age at death in familial prostate cancer. Oncologist. 2009;14(12):1209–17. 10.1634/theoncologist.2009-0132 [DOI] [PubMed] [Google Scholar]
  • 11.Hemminki K, Czene K. Age specific and attributable risks of familial prostate carcinoma from the family-cancer database. Cancer. 2002;95(6):1346–53. 10.1002/cncr.10819 [DOI] [PubMed] [Google Scholar]
  • 12.Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, De Santis M, et al. EAU-ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol. 2017;71(4):618–29. 10.1016/j.eururo.2016.08.003 [DOI] [PubMed] [Google Scholar]
  • 13.Qaseem A, Barry MJ, Denberg TD, Owens DK, Shekelle P. Clinical Guidelines Committee of the American College of P. Screening for prostate cancer: a guidance statement from the Clinical Guidelines Committee of the American College of Physicians. Ann Intern Med. 2013;158(10):761–9. 10.7326/0003-4819-158-10-201305210-00633 [DOI] [PubMed] [Google Scholar]
  • 14.Rendon RA, Mason RJ, Marzouk K, Finelli A, Saad F, So A, et al. Canadian Urological Association recommendations on prostate cancer screening and early diagnosis. Can Urol Assoc J. 2017;11(10):298–309. 10.5489/cuaj.4888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wolf AM, Wender RC, Etzioni RB, Thompson IM, D’Amico AV, Volk RJ, et al. American Cancer Society guideline for the early detection of prostate cancer: update 2010. CA Cancer J Clin. 2010;60(2):70–98. 10.3322/caac.20066 [DOI] [PubMed] [Google Scholar]
  • 16.Carter HB, Albertsen PC, Barry MJ, Etzioni R, Freedland SJ, Greene KL, et al. Early detection of prostate cancer: AUA Guideline. J Urol. 2013;190(2):419–26. 10.1016/j.juro.2013.04.119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Carroll PR, Parsons JK, Andriole G, Bahnson RR, Castle EP, Catalona WJ, et al. NCCN Guidelines Insights: Prostate Cancer Early Detection, Version 2.2016. J Natl Compr Cancer Netw. 2016;14(5):509–19. 10.6004/jnccn.2016.0060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Carter HB, Albertsen PC, Barry MJ, Etzioni R, Freedland SJ, Greene KL, et al. Early Detection of Prostate Cancer (2018) 2018. Available from: https://www.auanet.org/guidelines/prostate-cancer-early-detection-guideline. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Loeb S, Bjurlin MA, Nicholson J, Tammela TL, Penson DF, Carter HB, et al. Overdiagnosis and overtreatment of prostate cancer. Eur Urol. 2014;65(6):1046–55. 10.1016/j.eururo.2013.12.062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bratt O, Garmo H, Adolfsson J, Bill-Axelson A, Holmberg L, Lambe M, et al. Effects of prostate-specific antigen testing on familial prostate cancer risk estimates. J Natl Cancer Inst. 2010;102(17):1336–43. 10.1093/jnci/djq265 [DOI] [PubMed] [Google Scholar]
  • 21.Hemminki K, Ji J, Brandt A, Mousavi SM, Sundquist J. The Swedish Family-Cancer Database 2009: prospects for histology-specific and immigrant studies. Int J Cancer. 2010;126(10):2259–67. 10.1002/ijc.24795 [DOI] [PubMed] [Google Scholar]
  • 22.Barlow L, Westergren K, Holmberg L, Talback M. The completeness of the Swedish Cancer Register: a sample survey for year 1998. Acta Oncol. 2009;48(1):27–33. 10.1080/02841860802247664 [DOI] [PubMed] [Google Scholar]
  • 23.Brooke HL, Talback M, Hornblad J, Johansson LA, Ludvigsson JF, Druid H, et al. The Swedish cause of death register. Eur J Epidemiol. 2017;32(9):765–73. 10.1007/s10654-017-0316-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Socialstyrelsen. Screening för prostatacancer. Rekommendation och bedömningsunderlag. Sweden: Socialstyrelsen; 2018. Available from: https://www.socialstyrelsen.se/globalassets/sharepoint-dokument/artikelkatalog/nationella-screeningprogram/2018-10-15.pdf.
  • 25.Amin MB, Edge S, Greene F, Byrd DR, Brookland RK, Washington MK, et al. AJCC Cancer Staging Manual. 8 ed: American Joint Committee on Cancer. Springer International Publishing; 2017. XVII, 1032 p.
  • 26.Mukama T, Kharazmi E, Sundquist K, Sundquist J, Brenner H, Fallah M. Familial risk of breast cancer by dynamic, accumulative, and static definitions of family history. Cancer. 2020;126:2837–48. 10.1002/cncr.32815 [DOI] [PubMed] [Google Scholar]
  • 27.Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. IARC Sci Publ. 1991(95):1–288. [PubMed] [Google Scholar]
  • 28.Mukama T, Kharazmi E, Xing X, Sundquist K, Sundquist J, Brenner H, et al. Risk-Adapted Starting Age of Screening for Relatives of Patients With Breast Cancer. JAMA Oncol. 2019;6(1):68–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tian Y, Kharazmi E, Brenner H, Xu X, Sundquist K, Sundquist J, et al. Calculating the Starting Age for Screening in Relatives of Patients With Colorectal Cancer Based on Data From Large Nationwide Data Sets. Gastroenterology. 2020;159(1):159–68 e3. 10.1053/j.gastro.2020.03.063 [DOI] [PubMed] [Google Scholar]
  • 30.Mukama T, Fallah M, Tian Y, Sundquist K, Sundquist J, Brenner H, et al. Risk-tailored starting age of breast cancer screening based on women’s reproductive profile: A nationwide cohort study. Eur J Cancer. 2020;124:207–13. 10.1016/j.ejca.2019.10.011 [DOI] [PubMed] [Google Scholar]
  • 31.Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12(10):e1001885. 10.1371/journal.pmed.1001885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Brandt A, Bermejo JL, Sundquist J, Hemminki K. Age-specific risk of incident prostate cancer and risk of death from prostate cancer defined by the number of affected family members. Eur Urol. 2010;58(2):275–80. 10.1016/j.eururo.2010.02.002 [DOI] [PubMed] [Google Scholar]
  • 33.Albright F, Stephenson RA, Agarwal N, Teerlink CC, Lowrance WT, Farnham JM, et al. Prostate cancer risk prediction based on complete prostate cancer family history. Prostate. 2015;75(4):390–8. 10.1002/pros.22925 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kharazmi E, Fallah M, Sundquist K, Hemminki K. Familial risk of early and late onset cancer: nationwide prospective cohort study. BMJ 2012;345:e8076. 10.1136/bmj.e8076 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Brandt A, Bermejo JL, Sundquist J, Hemminki K. Age of onset in familial cancer. Ann Oncol. 2008;19(12):2084–8. 10.1093/annonc/mdn527 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bevier M, Weires M, Thomsen H, Sundquist J, Hemminki K. Influence of family size and birth order on risk of cancer: a population-based study. BMC Cancer. 2011;11:163. 10.1186/1471-2407-11-163 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Rekommendationer om organiserad prostatacancertestning: Regionala cancercentrum i samverkan; 2020. Available from: https://www.cancercentrum.se/samverkan/vara-uppdrag/prevention-och-tidig-upptackt/prostatacancertestning/.
  • 38.Xu X, Fallah M, Tian Y, Mukama T, Sundquist K, Sundquist J, et al. Risk of invasive prostate cancer and prostate cancer death in relatives of patients with prostatic borderline or in situ neoplasia: A nationwide cohort study. Cancer. 2020;126(19):4371–8. 10.1002/cncr.33096 [DOI] [PubMed] [Google Scholar]
  • 39.Hemminki K, Sundquist J, Bermejo JL. How common is familial cancer? Ann Oncol. 2008;19(1):163–7. 10.1093/annonc/mdm414 [DOI] [PubMed] [Google Scholar]
  • 40.Gronberg H. Prostate cancer epidemiology. Lancet. 2003;361(9360):859–64. 10.1016/S0140-6736(03)12713-4 [DOI] [PubMed] [Google Scholar]
  • 41.Hemminki K. Familial risk and familial survival in prostate cancer. World J Urol. 2012;30(2):143–8. 10.1007/s00345-011-0801-1 [DOI] [PubMed] [Google Scholar]
  • 42.Jonsson H, Holmstrom B, Duffy SW, Stattin P. Uptake of prostate-specific antigen testing for early prostate cancer detection in Sweden. Int J Cancer. 2011;129(8):1881–8. 10.1002/ijc.25846 [DOI] [PubMed] [Google Scholar]
  • 43.Enblad AP, Bergengren O, Andren O, Larsson A, Fall K, Johansson E, et al. PSA testing patterns in a large Swedish cohort before the implementation of organized PSA testing. Scand J Urol. 2020:1–6. [DOI] [PubMed] [Google Scholar]
  • 44.Nordstrom T, Aly M, Clements MS, Weibull CE, Adolfsson J, Gronberg H. Prostate-specific antigen (PSA) testing is prevalent and increasing in Stockholm County, Sweden, Despite no recommendations for PSA screening: results from a population-based study, 2003–2011. Eur Urol. 2013;63(3):419–25. 10.1016/j.eururo.2012.10.001 [DOI] [PubMed] [Google Scholar]
  • 45.Brandt A, Sundquist J, Hemminki K. Risk for incident and fatal prostate cancer in men with a family history of any incident and fatal cancer. Ann Oncol. 2012;23(1):251–6. 10.1093/annonc/mdr056 [DOI] [PubMed] [Google Scholar]
  • 46.Vickers AJ, Lilja H. Prostate cancer: estimating the benefits of PSA screening. Nat Rev Urol. 2009;6(6):301–3. 10.1038/nrurol.2009.95 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Vickers AJ, Ulmert D, Sjoberg DD, Bennette CJ, Bjork T, Gerdtsson A, et al. Strategy for detection of prostate cancer based on relation between prostate specific antigen at age 40–55 and long term risk of metastasis: case-control study. BMJ. 2013;346:f2023. 10.1136/bmj.f2023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Carter SM, Rogers W, Heath I, Degeling C, Doust J, Barratt A. The challenge of overdiagnosis begins with its definition. BMJ. 2015;350:h869. 10.1136/bmj.h869 [DOI] [PubMed] [Google Scholar]
  • 49.Hugosson J, Roobol MJ, Mansson M, Tammela TLJ, Zappa M, Nelen V, et al. A 16-yr Follow-up of the European Randomized study of Screening for Prostate Cancer. Eur Urol. 2019;76(1):43–51. 10.1016/j.eururo.2019.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Wood ME, Kadlubek P, Pham TH, Wollins DS, Lu KH, Weitzel JN, et al. Quality of cancer family history and referral for genetic counseling and testing among oncology practices: a pilot test of quality measures as part of the American Society of Clinical Oncology Quality Oncology Practice Initiative. J Clin Oncol. 2014;32(8):824–9. 10.1200/JCO.2013.51.4661 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Lu KH, Wood ME, Daniels M, Burke C, Ford J, Kauff ND, et al. American Society of Clinical Oncology Expert Statement: collection and use of a cancer family history for oncology providers. J Clin Oncol. 2014;32(8):833–40. 10.1200/JCO.2013.50.9257 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Clift K, Macklin SK, Wallace MB, Presutti RJ. Enhanced family history screening is crucial to individualized cancer surveillance. J Clin Oncol. 2019;37(15_suppl):e13161–e. [Google Scholar]
  • 53.Qureshi N, Carroll JC, Wilson B, Santaguida P, Allanson J, Brouwers M, et al. The current state of cancer family history collection tools in primary care: a systematic review. Genet Med. 2009;11(7):495–506. 10.1097/GIM.0b013e3181a7e8e0 [DOI] [PubMed] [Google Scholar]
  • 54.Ginsburg GS, Wu RR, Orlando LA. Family health history: underused for actionable risk assessment. Lancet. 2019;394(10198):596–603. 10.1016/S0140-6736(19)31275-9 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Helen Howard

23 Jun 2020

Dear Dr Fallah,

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Decision Letter 1

Emma Veitch

5 Aug 2020

Dear Dr. Fallah,

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Requests from the editors:

*Within the Abstract Methods and Findings section, please include a brief note about any key limitation(s) of the study's methodology.

*At this stage, we ask that you include a short, non-technical Author Summary of your research to make findings accessible to a wide audience that includes both scientists and non-scientists. The Author Summary should immediately follow the Abstract in your revised manuscript. This text is subject to editorial change and should be distinct from the scientific abstract. Please see our author guidelines for more information: https://journals.plos.org/plosmedicine/s/revising-your-manuscript#loc-author-summary

*Please clarify if the analytical approach followed in this study corresponded to one laid out in a prospective protocol or analysis plan. Please state this (either way) early in the Methods section.

a) If a prospective analysis plan (from your funding proposal, IRB or other ethics committee submission, study protocol, or other planning document written before analyzing the data) was used in designing the study, please include the relevant prospectively written document with your revised manuscript as a Supporting Information file to be published alongside your study, and cite it in the Methods section. A legend for this file should be included at the end of your manuscript.

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c) In either case, changes in the analysis-- including those made in response to peer review comments-- should be identified as such in the Methods section of the paper, with rationale.

*We'd recommend the authors use an appropriate reporting guideline to support reporting of their study - one such guideline may be the RECORD guideline (https://www.equator-network.org/reporting-guidelines/record/) - designed for routinely collected health data. If using this guideline please cite the RECORD paper in the Methods section and also upload a completed RECORD checklist as supporting information with your revision.

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Comments from the reviewers:

Reviewer #1: I confine my remarks to statistical aspects of this paper. These were well done and I have only a couple of minor corrections/suggestions.

p 3 Give the death rate for prostate cancer. "5th leading cause ...." is pretty meaningless.

p. 5 First para. Men don't necessarily learn about a relative's PC diagnosis.

p. 5 Please format the formulas better, maybe separating them from the text

Peter Flom

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Reviewer #2: Manuscript#: PMEDICINE-D-20-02475R1

Title: Risk-adapted starting age of screening in relatives of patients with prostate cancer: Real world evidence from a nationwide cohort to supplement current screening recommendations.

Criteria PLOS Medicine (website consulted on 04.07.2020):

General:

1. The research question is an important one to the community of researchers in this general area.

2. The results provide a substantial advance over existing knowledge, with clear implications for patient care, public policy, or clinical research agendas.

3. Published together with an Author Summary written for general readers, the article is of interest to clinicians and policymakers who are not specialists in this topic.

* What are the main claims of the paper and how significant are they for the discipline?

* Are the claims properly placed in the context of the previous literature? Have the authors treated the literature fairly?

* Do the data and analyses fully support the claims? If not, what other evidence is required?

* PLOS Medicine encourages authors to publish detailed methods as supporting information online. Do any particular methods used in the manuscript warrant such publication? If a protocol is already provided, for example for a randomized controlled trial, are there any important deviations from it? If so, have the authors explained adequately why the deviations occurred?

* Is this paper outstanding in its discipline? If yes, what makes it outstanding? If not, why not?

* Does the study conform to any relevant guidelines such as CONSORT, MIAME, QUORUM, STROBE, and the Fort Lauderdale agreement?

* Are details of the methodology sufficient to allow the experiments to be reproduced?

* Is any software created by the authors freely available?

* Is the manuscript well organized and written clearly enough to be accessible to non-specialists?

Summary:

In the revised manuscript the authors analyze the complete Swedish men population in a longitudinal observation between 1958 and 2015 with the goal to study the relatives having had advanced PCa or who succumbed to PCa for purpose of calculating the risk-adapted starting age of screening for PCa for their relatives. They calculate the 10-year cumulated PCa risk in the whole population (0.2%) as a reference cutoff value and test it against various populations build on criteria of number of relatives with PCa and age of PCa diagnosis. They demonstrate that these populations reach this risk cutoff at the different age and thus they propose tailoring the onset of PCa screening accordingly.

This topic is very relevant for everyday practice of every clinician dealing with early detection of PCa, thus all three general criteria of PLOS Medicine as listed above are fulfilled.

As the authors properly describe in the introduction - a substantial body of literature exists on the topic and there is a clear agreement that positive family history increases risk of having PCa in significant manner, thus these men should receive more screening for PCa and at earlier age. However, the proposed cutoffs vary and if you consult medical guidelines (e.g. EAU or ESMO) these cutoffs can be perceived as an extrapolated and rather intuitive best guess concerning the starting age of screening. With this important study the authors try to fill this gap in more precise manner. Moreover they take into account not only the number of relatives but also onset of disease in those relatives, which is additional important piece of information.

Comments:

Introduction

Is well written. No relevant remarks.

Methods

Material for the study is well chosen and we can in general commend our Swedish colleagues for the quality registry data which have been collected. The statistical methods seem adequate and sufficient, at least at the understanding of reviewer who is clinician but with experience dealing with epidemiological and statistical methods and data. Still as the reviewer is not specialist in statistics a statistical review should be warranted. I would suggest to make a reference(s) to method source (can be a paper or manual) for the reader for better understanding.

While the choice of the study event (advanced PCa or PCa death) seems correct as for purpose of the study some unclarities remain. Men who die at PCa are usually having PCa diagnosis before this event. Do I understand correctly that for men diagnosed with advanced PCa but dying from other causes this event was taken for study? It should be clarified as PCa diagnosis may be at advanced or local stage and then progress to PCa death (or not). Wouldn't it be more appropriate and consistent to take stage shift (or diagnosis) at advanced PCa stage as study event?

For purpose of estimating the analysis reliability a reference (if available) to the reliability and completeness of both ascertainment of PCa death and disease stage in the registry should be done.

Results

It is important that authors also calculated the 15- and 20-year cumulative risks for having PCa as this adds to the robustness of the results.

Discussion

Is generally well written but feels somehow uncritical. The authors see all but study strengths and omit the limitations. I have several remarks.

"Nevertheless, it would be optimal when risk-adapted starting ages of screening in other countries with different races than Sweden for men with a family history of prostate cancer are externally validated although the current experts' opinion-based recommendations for screening relatives of patients with prostate cancer are already in practice without validation."

This sentence is difficult to follow. As I understand the authors perceive their data as kind of validation or reference dataset. But from that perspective even if this may go with our intuition still their data have not been externally validated in another population. It is particularly important as PCa mortality in Sweden is particularly high as compared to the whole western world. Thus what happens in Sweden does not necessarily have to be happening elsewhere. The reference to "different races than Sweden" is also unclear. The reviewer presumes (but may be wrong) that the caucasian men is the predominant race in Sweden and that results apply to this race only. This paragraph should be elaborated.

Study limitations are not mentioned. As already stated in previous comment, Swedish population has relatively high PCa specific mortality. While the methods used by the authors and the dynamic definition of positive family history may be generalized for other populations, the results of this study as such and the risk cutoffs may vary and might not be transferable to other countries or races.

Another obvious limitation derives inherently from the fact that in the study only 4.3% of all men with PCa fulfilled their dynamic definition of family history and formed the study population. Thus the most men men doesn't have any family history.

PCa diagnosis changed in time, while DRE and autopsy were method of choice at the study beginning, other modalities like PSA (and it's derivates or other biomarkers) , ultrasound, mpMRI, etc. This might have influenced the events distribution

It is also important to convey to the reader that you can transfer these results only if you perform elaborate anamnesis of family history. A simple - "how many relatives if any had PCa in family" would be insufficient for that purpose. Has it been investigated how practicable and reliable is this approach in everyday GP practice? Checking register-based family history vs patients' self-reports would be interesting.

Minor remarks

"In general, our evidence-based results"

these results may become evidence if published thus "In general, our results" or "Our results" - whatever preferable.

"Although the incidence rate of prostate cancer varies by geography and race/ethnicity, the familial risks of cancers are generalizable across populations with approximately similar cancer incidence and pattern."

Any reference to this general statement?

Conclusion

The conclusion generalizes too far on "relatives of patients with PCa" as the authors explicitly chose advanced or lethal PCa as their study event. This self-limits the conclusions.

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Reviewer #3: The aim of the study is well defined. It is an interesting study dealing with the modalities of PCa screening for FDR in high risk families. It is known that family history is a significant risk factor for FDR increasing with the number of affected relatives in the family and early onset of the disease, this latter being a characteristic of inherited cancers. However, guidelines of screening in such families lack of precise recommendations according to the number of affected relatives and the onset of the PCa in the family. Moreover, as well underlined by the authors, screening in such families, and too early, may be associated with an increased risk of diagnosing indolent PCa and therefore overdiagnosis and overtreatment. It is the reason why the authors considered specifically the risk of late-stage/fatal risk of PCa which is a strength of the study. Using a large register-based nationwide cohort study, considered as the world's largest nationwide register-based family-cancer datasets, authors were able to provide very relevant results i.e. the 10-year (and also 15-year and 20-year) cumulative risk of invasive PCa increased according the number of affected relatives and by the youngest age at diagnosis in the family. These results can be considered as evidence-based risk-adapted starting ages of screening for PCa.

The conclusions are in agreement with the results.

The title is appropriate and the abstract provides significant and concise information. References are relevant and cited in the manuscript.

This is a very relevant well written paper and only few modifications should be done:

The authors should propose at the end of the discussion clear practical guidelines, as they would like to be supported by the different urologic and oncologic societies, on how to screen FDR in high risk families according number of affected relatives and the youngest affected in the family

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Reviewer #4: This paper uses data from Swedish national registries to compute risk of aggressive prostate cancer (PCa) based on family history of PCa. Examining general population risk and risk for various family history profiles, the paper determines ages of starting screening that have equivalent risk of aggressive prostate cancer for those with a given family history as compared to the general population. More context is needed about the level of PSA screening in Sweden during the analysis period, since this could effect the various estimates. Also, more discussion about the practicalities of family history risk-based screening are needed.

Specific Comments

1. In Methods, the benchmark ages are given as 40,45,50 and 55. However, in Table 1, the benchmark ages are 45,50, 55 and 60.

2. Are there data on number of brothers? If so, is there any difference in risk for, say, a man with 1 first degree relative with PCa, if they had no brothers versus 1+ brothers (or 2+, etc.). More generally, could the exposure be refined based on number of male first degree relatives, in addition to how many had PCa.

3. A potential harm of earlier start of screening is being diagnosed earlier with an indolent cancer and suffering from side-effects of treatment longer or having to undergo active surveillance longer. This should be mentioned in the discussion, in addition to harms from extra false positives that are mentioned in Discussion.

4. In order to interpret these data, it would be helpful to know the level of PSA screening in Sweden during the period of assessment. Presumably, it was low overall during the period linked to the cancer registry (1958-2015). The level of screening would certainly affect the proportion of men with a family history, which in turn would affect the proportion of men having to be screened at earlier ages. It could also affect the excess risk of stage III/IV or fatal cancer associated with a family history, since with screening a higher proportion of cases in relatives would be indolent, and indolent presentation could be in part genetically modulated. Thus the excess risk of stage II/IV or fatal disease associated with a family history could be lower in a screened population. This should be discussed.

5. The practicalities of implementing screening based on family history need to be discussed more. What is the expense and patient and physician time spent on evaluating family history, especially if it needs to be updated periodically? In most countries, family history data would not be available from national registries. How could EHR systems handle these data and could simple algorithms be developed to determine family history-based risk levels? Is there the potential for confusion in the population of the appropriate starting age if guidelines are based on family history, rather than a simple standard age?

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Reviewer #5: Dear Dr Misra

This study provides new, clinically important, knowledge aand will be of interest for many specialities, but I'm not convinced that a general medical journal like PLoS Medicine is the best choice - a urology or cancer journal may be better.

Moreover, the authors should present their data on prostate cancer risk as they are, rather than as direct evidence for start ages for screening.

Finally, I should mention that I recently reviewed this manuscript for another journal (can't find my notes, though, and can't remember which one) and recommended similar changes as I do know, which means that the authors have not much revised their manuscript since then.

Yours sincerely

Ola Bratt

This is a large register-based cohort study on the influence of various combinations of family history (FH) of prostate cancer (PC) on the cumulative incidence of advanced/lethal PC. The analyses are well executed and the study provides clinically important, new knowledge, but the presentation of the results in the manuscript and the conclusions may be improved.

Major concerns:

1) The calculated cumulative risks of Stage III/IV PC are clinically relevant, not least when considering recommendations about the start age of PC screening for men with a FH of PC, but it is not justified to present the results as "risk-tailored starting ages for PCa screening". The only way to provide evidence-based screening start ages for men with a FH of PC is through screening trials. There is absolutely no ground for claiming that the 10- or 15-year cumulative incidence of Stage III/IV PC are directly associated with the optimal starting age. The authors may of course discuss the use of their results for individualising the start age of PC screening and conclude that their results are suitable for this, but the proposed starting ages should not directly be presented as results. The manuscript needs to be re-written accordingly. Further examples of inappropriate phrasing are in the title ("Risk-adapted starting age of screening…"), the Abstract's conclusion ("an important step toward evidence-based personalized PCa screening guidance"), at the end of page 3 ("we aimed to provide risk-adapted starting age of screening for relatives of patients with PCa"; this could be changed to something like "we aimed to provide XXX that may be used for risk-adapting the starting ages…"), page 15 ("first-hand evidence-based information on risk-adapted (personalized) starting age of PCa screening") and in the final conclusion ("this study provides novel information on risk-adapted starting age of screening").

2) The suggested starting ages should rather be presented as something like "The age at which the risk of stage III/IV and/or lethal PC is the same as for men in the general population aged 50 years (0,2%)." Moreover, these ages should be presented with 95% confidence intervals.

3) Title: In addition to the above comment, also "Real world evidence" and "cohort" are misleading. "Cohort" may lead readers to believe that a cohort of screened men were observed. "Register study" may be better.

4) The limitations of the study are not well discussed. 4a) One is that the age of diagnosis, that is an important variable in the analysis, is highly dependent on when an individual's cancer is detected (localised or metastatic) and whether the cancer was detected after PSA testing or not (PSA testing confers up to 15 years lead time). A man's risk of PC is thus differently affected by a father diagnosed with a small low-grade PC after PSA-testing at age 70 versus a father diagnosed with metastatic disease at the same age. PSA-testing was introduced in Sweden in 1990 and became common in the late 1990s. This means that the age at diagnosis of relatives diagnosed before 1990 affects the PC risk differently than does the age at diagnosis of relatives diagnosed after year 2000.

4b) Another limitation is that the family history usually isn't revealed at many of the suggested start ages, so for instance supplementary table 2 describes a hypothetic scenario when it comes to the rows representing "Age at diagnosis of youngest relative" for brothers affected at 60-69 and > 70 years (few men aged 40 years have a brother aged over 60 years).

4c) Further limitations include that many men with a FH of PC obtain PSA testing and are diagnosed with stage 2 disease that is subsequently cured, but from which the man would have died had it not been detected and treated in time.

Minor comments

5) Methods, page 4: The statement "The Swedish National Board of Health and Welfare does not recommend a countrywide population-based PSA screening program for men" is not supported by reference 1.

6) Methods, page 4: The outcome was not the risk of late-stage/fatal prostate cancer. First, because occurrence of PC was the outcome, not the risk of this. Second, stage III includes poorly differentiated, localised PC, which is early-stage, not late-stage PC).

7) Methods, page 4: Most readers are probably not familiar with the AJCC staging system, so I recommend that stage III/IV is described in terms of TNM, Gleason score and PSA.

8) Results, 3rd sentence: The "static approach" has not been described in Methods. I assume this approach is incorrect, so why present results for this approach?

9) Page 8, 1st sentence under "Risk by age at diagnosis in relatives" is wrong. It should either be "The younger the age at diagnosis of PCa in FDRs, the higher the risk of..." OR

"Younger age at diagnosis of PCa in FDRs was associated with higher risk of...".

10) Page 9, 1st sentence: "rather comparable" is vague. Maybe the authors can substitute for a different term?

11) Discussion, end of 1st paragraph: RE "current guidelines, which are mostly based on the experts' opinion rather than evidence" - I'd say that the guidelines are based on the same kind of evidence that the present study provides, namely knowledge of an earlier age at onset of PC in men with a FH for PC, but by writing "current guidelines, which are mostly based on the experts' opinion rather than evidence", the authors imply that their own recommendations are strongly evidence-based, which they are not.

12) It is questionable whether the by the present study's authors' suggested highly variable starting ages are clinically more useful than the previous ones. Is it really realistic to produce clinical guidelines in which men with a FH of PC are stratified into 30 different groups with different recommended start ages?

13) Page 13: Reference 26 reports deaths within 25-30 years, not 30-40 years.

14) The guidelines referred to from ACP, ACS & AUA (refs 13, 15, 16) are old (2010 - 2013). There must be newer versions.

Reviewer: Ola Bratt, Professor of Urology, Gothenburg University, Sweden

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Any attachments provided with reviews can be seen via the following link:

[LINK]

Attachment

Submitted filename: V2Review.docx

Decision Letter 2

Adya Misra

23 Nov 2020

Dear Dr. Fallah,

Thank you very much for submitting your manuscript "Starting age of screening in relatives of patients with prostate cancer: Evidence from nationwide register-based cohort study to supplement current screening recommendations" (PMEDICINE-D-20-02475R2) for consideration at PLOS Medicine.

Your paper was evaluated by a senior editor and discussed among all the editors here. It was also discussed with an academic editor with relevant expertise, and sent to independent reviewers, including a statistical reviewer. The reviews are appended at the bottom of this email and any accompanying reviewer attachments can be seen via the link below:

[LINK]

In light of these reviews, I am afraid that we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to consider a revised version that addresses the reviewers' and editors' comments. Obviously we cannot make any decision about publication until we have seen the revised manuscript and your response, and we plan to seek re-review by one or more of the reviewers.

In revising the manuscript for further consideration, your revisions should address the specific points made by each reviewer and the editors. Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments, the changes you have made in the manuscript, and include either an excerpt of the revised text or the location (eg: page and line number) where each change can be found. Please submit a clean version of the paper as the main article file; a version with changes marked should be uploaded as a marked up manuscript.

In addition, we request that you upload any figures associated with your paper as individual TIF or EPS files with 300dpi resolution at resubmission; please read our figure guidelines for more information on our requirements: http://journals.plos.org/plosmedicine/s/figures. While revising your submission, please upload your figure files to the PACE digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at PLOSMedicine@plos.org.

We expect to receive your revised manuscript by Dec 14 2020 11:59PM. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.***

We ask every co-author listed on the manuscript to fill in a contributing author statement, making sure to declare all competing interests. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. If new competing interests are declared later in the revision process, this may also hold up the submission. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT. You can see our competing interests policy here: http://journals.plos.org/plosmedicine/s/competing-interests.

Please use the following link to submit the revised manuscript:

https://www.editorialmanager.com/pmedicine/

Your article can be found in the "Submissions Needing Revision" folder.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plosmedicine/s/submission-guidelines#loc-methods.

Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it.

We look forward to receiving your revised manuscript.

Sincerely,

Adya Misra, PhD

Senior Editor

PLOS Medicine

plosmedicine.org

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Requests from the editors:

Title: study descriptor needed, remove starting age of screening etc. I suggest “Risk of cancer in relatives of patients with Prostate Cancer in Sweden: A cohort study” or similar

Abstract- aim reads more like a recommendation. Need to revise this. There are recurring mentions of “providing risk adapted age of screening” however, I wonder if this is an implication of your findings and the work highlights the adapted risk of prostate cancer instead? Please revise throughout, as needed.

Abstract- age range of participants

Please add 2-3 limitations of your study in the last sentence of the abstract

Abstract conclusions- I suggest revising “highly valid”

Data availability- please add contact details of the relevant person(s) at Lund University who may be able to organise access to data for third parties

The author summary section “what did the researchers do” does not provide a summary of the research methods but its implementation in the clinic. Please remove the second and third bullet point and provide a summary of the methods and results

Please use quare brackets for references throughout

Please provide the analysis plan as supplementary information and add a call out to this document in the methods section. In addition, please provide a completed RECORD checklist as supplementary information, using paragraphs and sections instead of page numbers

Page 12 “of PCa screening by current guidelines, which are mostly based on the experts’ opinion rather than evidence” this statement comes off rather combative and I suggest removing or rephrasing. Please also add a citation to the current guidelines, noting whether they are national (Swedish) or international guidelines

I suggest replacing all iterations of “high quality data” in the main text to be replaced by nationwide data or similar. I suggest organizing the Discussion as follows: a short, clear summary of the article's findings; what the study adds to existing research and where and why the results may differ from previous research; strengths and limitations of the study; implications and next steps for research, clinical practice, and/or public policy; one-paragraph conclusion.

The discussion is rather long and perhaps needs subheadings for readability.

Page 14 “current experts’ opinion-based

recommendations for screening in relatives of patients with PCa are already in practice in many countries around the world without validation”. I suggest adding a reference or two in support or removing this sentence

Comments from the reviewers:

Reviewer #4: NO further comments

Reviewer #5: The authors have extensively revised and much improved the manuscript in accordance with the reviewers' numerous comments and suggestion. I must complement them on their thorough consideration of all the comments.

I have only one small suggestion, which the authors can feel free to adjust to or to discard, about their resopnse to my comment 5 Methods, page 4:

The statement "The Swedish National Board of Health and Welfare does not recommend a countrywide population-based PSA screening program for men" is probably better supported by the following reference than by the dissertation.

Screening för prostatacancer. Rekommendation och bedömningsunderlag. Socialstyrelsen 2018. Access at https://www.socialstyrelsen.se/globalassets/sharepoint-dokument/artikelkatalog/nationella-screeningprogram/2018-10-15.pdf

Any attachments provided with reviews can be seen via the following link:

[LINK]

Decision Letter 3

Richard Turner

3 Jan 2021

Dear Dr. Fallah,

Thank you very much for re-submitting your manuscript "Risk of prostate cancer in relatives of patients with this cancer in Sweden: A nationwide cohort study" (PMEDICINE-D-20-02475R3) for consideration at PLOS Medicine.

I have discussed the paper with our academic editor and it was also seen again by two reviewers. I am pleased to tell you that, provided the remaining editorial and production issues are dealt with, we expect to be able to accept the paper for publication in the journal.

The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. Please take these into account before resubmitting your manuscript:

[LINK]

***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.***

In revising the manuscript for further consideration here, please ensure you address the specific points made by each reviewer and the editors. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments and the changes you have made in the manuscript. Please submit a clean version of the paper as the main article file. A version with changes marked must also be uploaded as a marked up manuscript file.

Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. If you haven't already, we ask that you provide a short, non-technical Author Summary of your research to make findings accessible to a wide audience that includes both scientists and non-scientists. The Author Summary should immediately follow the Abstract in your revised manuscript. This text is subject to editorial change and should be distinct from the scientific abstract.

We hope to receive your revised manuscript within about one week. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

We ask every co-author listed on the manuscript to fill in a contributing author statement. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT.

Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it.

Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org.

Please let me know if you have any questions. Otherwise, we look forward to receiving the revised manuscript soon.   

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

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Requests from Editors:

Please amend the title to "Risk of prostate cancer in relatives of prostate cancer patients in Sweden ...".

Please begin the abstract "Evidence-based guidance ...".

In the abstract, please quote 95% CI around observations such as "9 years earlier" (you may prefer to state the age with associated 95% CI, as in table 1).

In the abstract and elsewhere, please write "9 years earlier" rather than "nine years earlier", and so on, except at the start of sentences.

Please revisit the phrase "parents' ages were not limited ..." in the abstract, which may need a few words of explanation - do you mean that full information on participants' fathers' lifespans was available in the study?

Please add a new final sentence to the "methods and findings" subsection of your abstract, which should begin "Study limitations include ..." or similar, and should list 2-3 of the study's main limitations.

In the "Conclusion" subsection of your abstract, please adapt "can be used ..." to "could be used ...", to avoid overstatement of your findings' relevance in other populations. Please make a similar change in the final paragraph of the main text.

Please delete the "keywords" section from the abstract page.

In the author summary, please spell out "FDR" and "PCa" at first use.

Please trim the central subsection of your author summary, which should consist of no more than 3-4 points of 1-2 short sentences each.

Please avoid "parent/s" in the author summary and any other instances in the paper.

In the author summary, please amend the text to "... reach this screening risk threshold up to 11 years earlier ...".

We notice that the author summary includes statements of "up to 11 years earlier" and "up to 12 years earlier". Please correct any inconsistency here or elsewhere in the paper.

Please revisit the statement "the world's largest data" in your author summary. We suggest amending this to "Our study made use of the largest dataset available, to our knowledge, to identify the optimal age ..." or similar.

On p.14 of the paper, please make that "... we used the largest familial cancer datasets available, to our knowledge, and in our analyses considered ...".

Please revisit the "Strengths and weaknesses" subsection in the discussion. We suggest sumarizing the study's possible weaknesses in a discrete paragraph in a neutral way. At present, interspersed with statements such as "another important advantage", the discussion seems to avoid acknowledging possible limitations and implications for the study's conclusions. For example, are there possible differences in groups of different ethnicity?

Throughout the text, please remove spaces from the reference call-outs (i.e., "... of Sweden [47,48].").

Please delete the "author contributions" section from the end of the main text.

Please spell out the institutional author name for reference 9.

Noting references 26, 28 & 45, for example, please ensure that all citations contain full access details.

We did not find the RECORD checklist with your revised ms. Please ensure that this is available as a supplementary file ("S1_RECORD_Checklist" or similar) with your next revision; in the checklist, individual items should be referred to by section (e.g., "Methods") and paragraph number rather than by line or page numbers, as the latter generally change in the event of publication.

*** Reviewer 4 comments:

No further comments

*** Reviewer 5 comments:

The authors have extensively revised and much  improved the manuscript in accordance with the reviewers' numerous comments and suggestion. I must complement them on their thorough consideration of all the comments.

I have only one small suggestion, which the authors can feel free to adjust to or to discard, about their response to my comment 5 Methods, page 4:

The statement "The Swedish National Board of Health and Welfare does not recommend a countrywide population-based PSA screening program for men" is probably better supported by the following reference than by the dissertation.

Screening för prostatacancer. Rekommendation och bedömningsunderlag. Socialstyrelsen 2018. Access at https://www.socialstyrelsen.se/globalassets/sharepoint-dokument/artikelkatalog/nationella-screeningprogram/2018-10-15.pdf

***

Any attachments provided with reviews can be seen via the following link:

[LINK]

Decision Letter 4

Richard Turner

8 Apr 2021

Dear Dr Fallah, 

On behalf of my colleagues and the Academic Editor, Dr Pinsky I am pleased to inform you that we have agreed to publish your manuscript "Risk of prostate cancer in relatives of prostate cancer patients  in Sweden: A nationwide cohort study" (PMEDICINE-D-20-02475R4) in PLOS Medicine. We apologize for the delay in sending you a decision.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Once you have received these formatting requests, please note that your manuscript will not be scheduled for publication until you have made the required changes.

Prior to final acceptance, please: amend the text at the end of p.15 of the PDF to "... the rather high homogeneity of the Swedish population" (or similar); and remove the information on funding and competing interests at the end of the main text (this will appear in the article metadata via entries in the submission form).

In the meantime, please log into Editorial Manager at http://www.editorialmanager.com/pmedicine/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production process. 

PRESS

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We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper. 

Sincerely, 

Richard Turner, PhD 

Senior Editor, PLOS Medicine

rturner@plos.org

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 RECORD Checklist. The RECORD statement—checklist of items, extended from the STROBE statement, which should be reported in observational studies using routinely collected health data.

    RECORD, REporting of studies Conducted using Observational Routinely-collected health Data; STROBE, Strengthening The Reporting of OBservational Studies in Epidemiology.

    (DOCX)

    S1 Fig. Age-specific 10-year cumulative risk of stage III/IV PCa or fatal PCa by family size (number of brothers in family) in men with 1 affected FDR.

    The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. FDR, first-degree relative; PCa, prostate cancer.

    (TIF)

    S2 Fig. Age-specific 10-year cumulative risk of stage III/IV PCa or fatal PCa in men with 1 or ≥2 affected FDRs by calendar period (1958–2015 and 1990–2015).

    The gray horizontal line corresponds to 10-year cumulative risk level for 50-year-old men in the population. FDR, first-degree relative; PCa, prostate cancer.

    (TIF)

    S1 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by type of affected relatives and age at diagnosis of the relative using 10-year cumulative risk.

    PCa, prostate cancer.

    (DOCX)

    S2 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by number of affected relatives and youngest age at diagnosis of FDRs using 15-year cumulative risk.

    FDR, first-degree relative; PCa, prostate cancer.

    (DOCX)

    S3 Table. Risk-adapted starting age of PCa screening for different benchmark starting ages of screening by number of affected relatives and youngest age at diagnosis of FDRs using 20-year cumulative risk.

    FDR, first-degree relative; PCa, prostate cancer.

    (DOCX)

    S1 Analysis Plan. Statistical analysis plan.

    (DOCX)

    Attachment

    Submitted filename: V2Review.docx

    Attachment

    Submitted filename: Response to reviewers 26Aug2020.docx

    Attachment

    Submitted filename: Final Reponse letter 4Dec2020.docx

    Attachment

    Submitted filename: MF2 XX R3 Reponse letter 6Jan2021.docx

    Data Availability Statement

    This study made use of the Swedish Cancer Registry data. Data from the nationwide registers cannot be shared by study authors, however further information and relevant contact details can be found on: https://www.socialstyrelsen.se/en/statistics-and-data/registers/register-information/ Postal address: Socialstyrelsen, SE-106 30 Stockholm, Sweden Phone: +46 (0)75 247 30 00 Fax: +46 (0)75 247 32 52 E-mail: socialstyrelsen@socialstyrelsen.se Links for Swedish Cancer Registry: https://www.socialstyrelsen.se/en/statistics-and-data/registers/register-information/swedish-cancer-register/ Email address: cancerregistret@socialstyrelsen.se.


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