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The relative risk of second primary cancers in Switzerland: a population-based retrospective cohort study

A Correction to this article was published on 03 February 2020

This article has been updated

Abstract

Background

More people than ever before are currently living with a diagnosis of cancer and the number of people concerned is likely to continue to rise. Cancer survivors are at risk of developing a second primary cancer (SPC). This study aims to investigate the risk of SPC in Switzerland.

Methods

The study cohort included all patients with a first primary cancer recorded in 9 Swiss population-based cancer registries 1981–2009 who had a minimum survival of 6 months, and a potential follow-up until the end of 2014. We calculated standardized incidence ratios (SIR) to estimate relative risks (RR) of SPC in cancer survivors compared with the cancer risk of the general population. SIR were stratified by type of first cancer, sex, age and period of first diagnosis, survival period and site of SPC.

Results

A total of 33,793 SPC were observed in 310,113 cancer patients. Both male (SIR 1.18, 95%CI 1.16–1.19) and female (SIR 1.20, 95%CI 1.18–1.22) cancer survivors had an elevated risk of developing a SPC. Risk estimates varied substantially according to type of first cancer and were highest in patients initially diagnosed with cancer of the oral cavity and pharynx, Hodgkin lymphoma, laryngeal, oesophageal, or lung cancer. Age-stratified analyses revealed a tendency towards higher RR in patients first diagnosed at younger ages. Stratified by survival period, risk estimates showed a rising trend with increasing time from the initial diagnosis. We observed strong associations between particular types of first and SPC, i.e. cancer types sharing common risk factors such as smoking or alcohol consumption (e.g. repeated cancer of the oral cavity and pharynx (SIRmales 20.12, 95%CI 17.91–22.33; SIRfemales 37.87, 95%CI 30.27–45.48).

Conclusion

Swiss cancer survivors have an increased risk of developing a SPC compared to the general population, particularly patients first diagnosed before age 50 and those surviving more than 10 years. Cancer patients should remain under continued surveillance not only for recurrent cancers but also for new cancers. Some first and SPCs share lifestyle associated risk factors making it important to promote healthier lifestyles in both the general population and cancer survivors.

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Background

More people than ever before are currently living with a diagnosis of cancer and the number of people concerned is likely to continue to rise [1,2,3]. In the US, for example, 3.6 million cancer survivors were alive in 1975. As of January 2019, the number rose to 16.9 million and that number is expected to increase to 26.1 million by 2040 [4]. Apart from total population growth [5], this trend results from an increase in life expectancy [6], population ageing [5], and continuing improvements in survival linked to better cancer detection and improvement of treatments [7, 8]. A consequence of surviving cancer is the risk of being diagnosed with a second primary cancer (SPC). Cancer survivors might be especially prone to develop a new primary cancer due to various reasons including common etiologic risk factors (i.e. environmental exposures, genetics, lifestyle choices) and late effects of cancer treatment [9]. SPC is not only a particularly difficult event for patients but could be also an important prognostic factor among cancer survivors [10].

Several studies outside of Switzerland reported that cancer survivors have an increased risk for being diagnosed with a new primary cancer compared to the general population [11,12,13,14,15,16,17]. However, risk estimates vary strongly by country/region and time period investigated. An older study from Denmark [18], for example, observed a slightly elevated risk of SPC exclusively for those surviving 30 year or more after first diagnosis whereas a recent French study found similar and substantially elevated risks across survival periods [13].

Apparent discrepancies in risk estimates might be partly explained by methodological differences between studies (e.g. definition of metachronous primary cancers, length of follow-up) and/or problems within studies (e.g. incomplete case ascertainment). However, due to potential or known differences between countries and regions (e.g. environmental exposure, standard treatment regimens) and their populations (e.g. risk behaviour, genetic susceptibility), SPC need individual investigations by country or region of interest. The only systematic investigation of risks of SPC in Switzerland dates back to 1993 using data from a single canton cancer registry [19]. A more recent publication covering less than 15% of the Swiss population presented frequencies of first and SPC but no risk estimates of SPC [14]. Therefore, this study aims to investigate the risk of SPC in Switzerland including data of all cantonal cancer registries eligible for this study.

Methods

Data on cancer diagnoses and vital status information were obtained from Swiss cantonal cancer registries with at least 15 years of consecutive incidence data between 1981 and 2014 (Basel-Stadt/Basel-Landschaft (BS/BL) (1981–2011), Geneva (1981–2014), Grison (1989–2014), Glarus (1992–2014), Neuchâtel (1981–2014), St. Gallen-Appenzell (1981–2014), Ticino (1996–2014), Valais (1989–2014), Vaud (1981–2014) and Zurich (1981–2014)). The national population coverage for this study by calendar year varied from 47.3 to 58.1%. Completeness of case ascertainment in Switzerland is overall high across cancer registries [20]. The proportion of death certificate only cases (DCO) and microscopically verified cases for the registries under study was overall 1.3 and 88.6%, respectively. Nevertheless, in some cancer registries, a systematic and complete linkage of incidence cases against mortality data was not carried out for all calendar years [21]. After exclusion of the affected incidence data, the overall proportion of DCO slightly increased to 1.6%.

A SPC was defined as first subsequent primary cancer occurring at least 6 months after the first cancer [22]. We identified primary cancers based on the rules defined by the International Association of Cancer Registries (IACR), International Association for Research on Cancer (IARC) and the European Network of Cancer Registries (ENCR) [23].

Vital status information was collected by active (verification of vital status with the cantonal and/or community inhabitant control offices) and passive follow-up (matching registered cancer cases with mortality data of the Federal Statistical Office). Due to the lack of a unique patient identifier in the federal mortality data, passive linkage was done using probabilistic matching algorithms. Proportion of cases with incomplete follow-up (i.e. last sign of life before 31st December 2014. (BS/BL: 2011) with no SPC) was 15.7% and ranged by registry from 0 to 24.1%. The variation in follow-up completeness is due to several causes such as the proportion of migrant population, and cantonal organization of cancer registration with different financial resources and legal frameworks. In some cantons, for example, individual inquiry letters have to be sent to inhabitant control offices whereas in other cantons electronic and automatized solutions are well established [24].

Incomplete vital status information artificially decreases follow-up times among patients without SPC leading to an overestimation of SPC risks [25]. We addressed incompleteness of vital status follow-up using multiple imputation methods. We created 25 complete datasets. For each dataset, the analyses were performed separately and merged afterwards using Rubin’s Rules [26]. Incomplete follow-up times were imputed by sex and cancer type using left censored regressions with time period between diagnosis and last follow-up as lower limit. The imputation models included the following predictors: both age at time of diagnosis and incidence period as linear and quadratic term, and language region of residence (French-Italian, German) as categorical variable. Based on imputed follow-up times, corresponding follow-up dates were calculated censoring at 31st of December 2014 (BS/BL: 31st of December 2011). Language region of residence was added to the models due to known regional differences in lifestyle-associated risk factors (i.e. alcohol and tobacco consumption [27]), screening behaviour [28, 29] and treatment regimens [30].

The final study cohort included all patients first diagnosed with an invasive cancer (excluding non-melanoma skin cancer) between 1981 and 2009 (BS/BL: 2006) allowing for a minimum of 5 years after first diagnosis to determine the presence of a SPC. Patients with synchronous primary cancers (cancers diagnosed within 6 months after first diagnosis) and patients with less than 6 months of follow-up were excluded from the main analyses.

We calculated standardized incidence ratios (SIR) (indirect standardization) to estimate relative risks (RR) of metachronous SPC in cancer survivors compared with the cancer risk of the general population [13, 31]. SIR were calculated for all cancers combined (ICD-10 C00-C97 excl. C44) and for 23 common cancer types (19 for males and 21 for females). In addition, the we stratified risk calculations by age at first diagnosis (0–49 years, 50–64 years, 65 years and over), time of first diagnosis (1981–1989, 1990–1999, 2000–2009), and follow-up interval (6 months to less than 1 year, 1 year to less than 5 years, 5 years to less than 10 years, 10 years or longer). Analyses by period of first diagnosis were restricted to 10 years of follow-up to enhance comparability across time. For the five initial cancer types showing the highest risks of developing a SPC and for all first cancer types combined, the RR of SPC were analysed stratified by type of SPC. Person-years at risk were calculated from the 6th month after diagnosis. The comparison cohort (general population) consisted of all permanent residents living between 1981 and 2014 in the catchment area of the included cantonal cancer registries. To calculate the expected number of SPC in the cohort of cancer survivors, we used sex, age- and calendar year-specific incidence rates (5-year age categories) of the general population [17]. Confidence intervals at the 95% level (95%CI) for the SIR were produced assuming a Poisson distribution [32]. 95%CI not including 1 were categorized as significant at p-level < 0.05 [33]. We did not account for multiple comparisons. Significant results have to be interpreted exploratorily.

To investigate the potential effect of detection bias, we additionally calculated the RR of SPC for the time period 0-6th month (synchronous tumours) and for total risks including the first 6 months after initial diagnosis for risk calculations (sensitivity analyses).

In our analyses, we adjusted for age and calendar period, therefore improved survival/aging itself does not increase risk estimates. However, as long-term survivors might be affected by additional risk factors (e.g. long-term and late effects of treatment), we additionally estimated 5-year survival proportions by sex and cancer site using the Kaplan-Meier method.

The multiple imputation of, as well as the calculations of, background risks were carried out using Stata/MP version 15.0 (STAT Corp., TX USA). All further analyses were performed in R (Version 3.4.3).

Results

The characteristics of the study cohort are presented in Table 1. A total of 33,793 SPC occurred in 310,113 cancer patients over 2,390,410 person-years at risk (median follow-up 6.0 years, interquartile range 2.1 to 10.9 years per person). Almost 40% of SPC were diagnosed between 1 and 5 years after first diagnosis, and nearly one third each were diagnosed 5 to 10 years after first diagnosis or afterwards. The five most common SPC were prostate cancer (28.5%), colorectal cancer (14.2%), cancer of the oral cavity and pharynx (8.5%), bladder cancer (7.3%) and melanoma (6.4%) in males, and breast cancer (36.8%), colorectal cancer (11.7%), cancer of the corpus uteri (9.4%), melanoma (7.2%) and non-Hodgkin lymphoma (3.6%) in females.

Table 1 Characteristics of the study cohort

Relative risk of second primary cancers by type of first primary cancer and sex

Overall, both male (SIR 1.18, 95%CI 1.16–1.19) and female (SIR 1.20, 95%CI 1.18–1.22) cancer survivors had an elevated risk of developing a SPC compared with the general population (Fig. 1). In males, 18 out of 19 first primary cancer types investigated were associated with an increased risk for SPC. The RR was statistically significant for all cancer types with the notable exception of pancreatic cancer (SIR 1.34, 95%CI 0.96–1.73) and multiple myeloma (SIR 1.13, 95%CI 0.95–1.31). A significantly reduced risk was observed for prostate cancer (SIR 0.75, 95%CI 0.73–0.77) (Fig. 1), which remained after including tumours diagnosed within the first 6 months after initial diagnosis (SIR 0.80, 95%CI 0.78–0.82) (Additional file 1: Figure S1). In females, the risk of SPC was increased in 19 out of 21 cancer sites, though not reaching statistical significance for multiple myeloma (SIR 1.16, 95%CI 0.92–1.39). The highest SIR were observed for cancers of the oral cavity and pharynx, Hodgkin lymphoma, laryngeal cancer, oesophageal cancer, and lung cancer. For female breast cancer, the observed risk of SPC was similar to the general population (SIR 0.98, 95%CI 0.95–1.01).

Fig. 1
figure 1

Relative risk of second primary cancers by type of first primary cancer and sex. a Males, b Females. 95%CI: 95%-confidence interval. Relative risks were estimated by standardized incidence ratios

Including synchronous tumours (Additional file 1: Table S1 and Figure S1) resulted in higher risk estimates in both sexes (males: SIR 1.32, 95%CI 1.31–1.34; females: SIR 1.29, 95%CI 1.27–1.31) and for all cancer types investigated. A major shift from reduced (main analyses, Fig. 1) to increased risk (sensitivity analyses, Additional file 1: Figure S1) was only observed for female pancreatic cancer. For all other initial cancer types, we observed low to moderate increases, but consistent directions in risk estimates.

The lowest 5-year survival in both sexes were observed for pancreatic (< 5%) and liver cancer (< 10%) (Additional file 1: Table S2). For most initial cancers, women had improved survival compared to men resulting in an overall 5-year survival of 42.2 and 53.0% in males and females, respectively.

Relative risk of second primary cancer by type of first primary cancer and age at diagnosis

Overall, the risk of SPC compared with the general population was elevated for each of the three age-groups, and tended to decrease with increasing age at first diagnosis (Table 2).

Table 2 Relative risk of second primary cancer by site of first primary cancer and age at first diagnosis

Significantly elevated risks across all age-groups were observed following cancer of the oral cavity and pharynx, oesophageal cancer, colorectal cancer, laryngeal cancer, lung cancer, melanoma, cervical cancer, cancer of the corpus uteri, kidney cancer, bladder cancer, thyroid cancer, Hodgkin lymphoma and leukaemia. Risk were greater among patient who had primary cancer at youngest age for oral cavity, esophagus, colorectal, liver, lung cancers and Hodgkin and non-Hodgkin lymphoma.

For female breast cancer, risk estimates of SPC across all age-groups were comparable to those of the general population (Table 2). Multiple myeloma patients had increased risks across age-groups, albeit not reaching statistical significance. For prostate cancer patients, a reduced risk of SPC was observed for men aged 50 years and above, but not for men diagnosed before the age of 50 years. For the remaining cancer types (stomach, liver, pancreas, ovary, testicles) risks were significantly increased for at least one age-group (< 50 years and/or 50–64 years at initial diagnosis).

Relative risk of second primary cancers by type of first primary cancer and survival period

The risk of SPC for all initial cancers combined was significantly increased during each survival period showing a rising trend with increasing time since initial diagnosis (Table 3). In addition, significantly elevated risks across all survival periods were observed following cancers of the oral cavity and pharynx, oesopaghus,larynx, lung, kidney and bladder. From 10 years on after initial diagnosis, all cancer sites exhibited significantly elevated RR except pancreatic cancer, multiple myeloma and prostate cancer. Of note, prostate cancer survivors had significantly lower risk of subsequent cancer than the general population. For breast cancer survivors, the risk of developing a SPC was comparable to that of the general population up to 10 years after diagnosis, but increased thereafter.

Table 3 Relative risk of second primary cancer by type of first primary cancer and follow-up period

Relative risk of second primary cancer by type of first primary cancer and time period of first diagnosis

For all initial cancers combined andmost cancer sites, no clear trends in risk estimates were observed by time period of first diagnosis (Table 4). However, among patients initially diagnosed with a cancer of the larynx, corpus uteri, bladder or thyroid those diagnosed more recently tended to have a higher risk than those diagnosed earlier. For all initial cancers combined, significantly increased risks were observed for the first (1981–1989: SIR 1.21, 95%CI 1.07–1.36) and last period (2000–2009: SIR 1.17, 95% CI 1.05–1.28), but not for the intermediate period (1990–1999: SIR 1.14, 95%CI 1.00–1.28). However, to allow comparisons that are more consistent across time, these analyses were restricted to 10 years of follow-up, excluding 9152 SPCs and 565,995 person-years from calculation.

Table 4 Relative risk of second primary cancer by type of first primary cancer and time period

Relative risk of second primary cancers by type of first and second primary cancer and sex

Figure 2 presents the RR estimates (limited to statistically significant results) by type of SPC for the five first primary cancers with the highest RR of SPC. Complete lists of calculated risk estimates are supplied in Additional file 1: Table S3, S4, S5, S6 and S7.

Fig. 2
figure 2

Relative risk of second primary cancer for selected first primary cancer sites by type of second primary cancer and sex. a Males, b Females. Relative risks were estimated by standardized incidence ratios

The strongest combinations of initial cancer and SPC (SIR > = 20) were observed for:

  • cancer of the oral cavity and pharynx – oral cavity and pharynx (both sexes)

  • cancer of the oral cavity and pharynx – laryngeal cancer (females)

  • cancer of the oral cavity and pharynx – oesophageal cancer (females)

  • laryngeal cancer – oral cavity and pharynx (females).

Overall, an initial diagnosis with cancer of the oral cavity and pharynx was associated with significantly increased risks for 10 (out of 19) and 7 (out of 21) types of SPC in males and females, respectively. Similarly, lung cancer showed elevated risks for 9 specific SPC in males and 5 in females. Corresponding figures for initial laryngeal cancer and oesophageal cancer were 6 and 2, and 2 and 1 specific SPC types in males and females, respectively.

In patients initially diagnosed with Hodgkin lymphoma significantly elevated risks estimates were observed for second non-Hodgkin lymphoma and lung cancer in males, and second leukemia, cancer of the oral cavity and pharynx, bladder and breast in females.

For all initial cancers combined, we observed significantly increased risks for 17 out of 19 specific SPC types in males and 17 out of 21 specific SPC types in females, ranging overall from SIR 1.18 (95%CI 1.13–1.22, colorectal cancer in males) to SIR 2.53 (95%CI 2.38–2.68, cancer of the oral cavity and pharynx in males) (Table 5). In contrast, male cancer survivors had a significantly reduced risk of developing second prostate cancer (SIR 0.67, 95%CI 0.65–0.70) and female cancer survivors a reduced risk of developing second breast (SIR 0.74, 95%CI 0.71–0.77) and cervical cancers (SIR 0.82, 95%CI 0.66–0.98).

Table 5 Relative risk of second primary cancer for any first primary cancer by type of second primary cancer and sex

Discussion

Summary of main findings

Overall, Swiss cancer survivors had a moderate excess risk of SPC (about 20% in both sexes) compared to the general population. SPC risks varied substantially according to site of first primary cancer and were highest among patients initially diagnosed with cancer of the oral cavity and pharynx, larynx, oesophagus, lung and Hodgkin lymphoma. Prostate cancer survivors had a significantly reduced risk of developing a SPC and no excess risk of SPC was found in female breast cancer patients, apart beyond 10 years after first diagnosis. Overall and for most initial cancers, a tendency towards higher RR was observed in patients first diagnosed at younger ages. Stratified by survival period, risk estimates increased with time since first diagnosis. Our data also further confirmed strong associations between particular types of first and SPC, mainly for cancers caused by smoking. For example, Swiss males and females initially diagnosed with cancer of the oral cavity and pharynx had a 20-fold and almost 40-fold increased risk of being diagnosed with a second cancer of the oral cavity and pharynx, and a 16-fold and almost 30-fold increased risk of being confronted with a second oesophageal cancer, respectively.

Discussion in the context of the literature

In line with our Swiss results, studies conducted in other high-income countries reported an increased risk for cancer survivors of being diagnosed with SPC compared to the cancer risk within the general population [12,13,14,15,16,17, 34]. However, overall increased risks of subsequent cancers were not systematically observed for all regions or countries and time periods investigated. A recent cancer registry study from Austria, for example, observed increased risks for single cancer sites, but no overall increased risk [35]. An Italian population-based study reported an overall significantly reduced risk (SIR 0.87) although the population size covered (< 2.5 million inhabitants in total) and the length of follow-up (mean: 2.5 years, < 50,000 person-years of follow-up) were relatively limited [36].

Excess risk of SPC is usually explained by common aetiologic risk factors (i.e. lifestyle, environmental exposures and genetics) and/or late effects of cancer treatment (i.e. radiotherapy and chemotherapy). Smoking and alcohol consumption are clearly associated with an elevated risk of various cancers [37], and the multiplicative effect of both factors can substantially exceed the risk from either factor alone for some cancer sites [37]. Consequently, smokers/regular drinkers diagnosed with a smoking/alcohol-associated cancer have an elevated risk of developing a second smoking/alcohol associated cancer [11, 38]. Overall, smoking and alcohol-associated cancers accounted for a substantial proportion of first and second primary cancers in our study population. Many cancers are known to have a multifactorial etiology and some cancer treatments are known to be carcinogenic. For example, known risk factors for breast cancer include age, genetics, being overweight, exposure to estrogen, alcohol consumption and others. For other cancers, such as Hodgkin lymphoma, the aetiology of disease remains largely unknown [39]. Due to the lack of data on risk factors and treatment in our study, underlying mechanisms could not be investigated and are therefore speculative.

In line with other studies outside of Switzerland [35, 40], we observed a significantly reduced risk of SPC for prostate cancer survivors. Prostate cancer is the most common cancer in males, leading to high numbers of expected cases. However, our risk of subsequent prostate cancer might be overestimated. Overall, more than 50% of patients with first prostate cancer are treated with surgery including radical prostatectomy [41]. In Switzerland, prostate cancer incidence rates have recently decreased after a sustained increase up to 2002, most likely due to changes in screening and work-up practices [42]. Higher socioeconomic position (SEP) has been shown to be associated with more frequent prostate-specific antigen (PSA) screening, earlier diagnosis [28, 43] and higher prostate cancer incidence compared to men with lower SEP. [44, 45] In addition, men of higher SEP are generally more health conscious than the general male population [46] and thus less likely to be exposed to cancer risk such as cigarette smoking and alcohol consumption.

Similarly, breast cancer is the most common cancer in females leading to high number of expected second breast cancers. However, women treated with mastectomy are not at risk for ipsilateral breast cancer [47]. Concerning SEP and mammography use, the Swiss findings are mixed [48, 49], but we recently reported that women of higher SEP compared to women of lower SEP are more likely to be diagnosed at an early stage [50]. In our present study, breast cancer survivors in general had a similar risk of SPC than the general female population, although an increased risk of SPC was observed in the youngest age-group (< 50 years at time of diagnosis). The latter finding might be related to factors such as cancer-predisposition genes [51] or more aggressive treatment schemes [52].

In line with other studies [11, 13, 17, 35], we found a consistent pattern of higher risks of SPC for young-onset patients. Notably, longer residual life expectancy itself is insufficient to explain our results as we calculated age-adjusted risks. However, improved survival in younger patients may increase the likelihood of experiencing adverse long-term treatment effects. Further, younger patients may receive more aggressive treatment [53, 54] and might differ from older patients in various respects such as genetic predisposition, risk factor patterns, etc.

SPC may occur months or years after the first cancer was diagnosed. However, SPC caused by first cancer treatment are expected to occur many years after the first diagnosis [55]. For therapy-associated solid tumours, the latency period is typically 10 years or more. Treatment-related leukemia occurs with a shorter latency, peaking between 5 to 10 years after diagnosis [55]. In our study, the risk of SPC was significantly increased during each follow-up period with a substantial increase at 5 to 10 years and over 10 years post-diagnosis. This is in contrast to studies from Australia and the US, which reported increased risks of SPC but no relevant changes by follow-up period.

In the US and Australia, the risk of SPC appears to have increased since the 1980s [56]. However, whether increased radiation exposure and/or changed treatment modalities contributed to this finding is not determined [56]. Interestingly, the rise over time in SPC found for thyroid cancer in the present study largely concur with the advent of growing thyroid cancer incidence most likely related to screening and increased overdiagnosis [57]. Overall, we observed no clear temporal trends after stratification by time period. For all cancer sites combined, we found a significantly increased risk of SPC for the first and last time period, but not for the intermediate one. However, these analyses were restricted to 10 years of follow-up, excluding a substantial number of SPCs and person-years from calculation.

Patterns of first and second primary cancers were further analysed for the five cancers with the highest RR of SPC, out of which four are highly related to smoking (Fig. 2). Our results confirmed mutual increased risks between tobacco-related cancer types [13, 17]. For patients with Hodgkin lymphoma, a cancer of largely unknown aetiology [39], the RR of SPC ranked second in males and third in females. Previous studies have shown that Hodgkin lymphoma is associated with increased risks for both second solid tumours and hematologic malignancies which persist for many decades after treatment [58, 59]. The risk of SPC following Hodgkin lymphoma seems to be influenced by various factors including age at treatment [58, 59], treatment type [58], smoking [60] and family history of cancer [59]. We confirmed an increased risk of second non-Hodgkin lymphoma and leukaemia among Hodgkin lymphoma patients, as well as increased risks for second breast cancer and lung cancer but not for other second malignancies as reported previously [58, 59].

Strengths and limitations

This is the largest population-based investigation of SPC among cancer survivors in Switzerland, providing the most representative nationwide findings to date. This study was based on data from population-based registries of high quality and high completeness of case ascertainment [20].

However, there are several methodological aspects to point out. First, there are no universally agreed criteria to identify multiple primary cancers. Currently, mainly two definitions of multiple primaries are used, one from the Surveillance Epidemiology and End Results (SEER) Program [61], the other from the IACR and the IARC [62]. Although both definitions take site and histology into account, the definition of the SEER Program are more complex and classify more cases as multiple primary cancers (i.e. cancers diagnosed at the same site, in paired organs and/or with similar histology) than the IACR/IARC definition [63]. A detailed description and comparison of both definitions and rules can be found elsewhere [63]. For this study, we applied the IACR/IARC rules, resulting in more conservative risk estimates than those based on the SEER definition [40]. The impact of these different definitions has been assessed in Scotland, based on data of 10 pooled cancer sites with 5-year follow-up, resulting in a SIR of 0.86 and a SIR of 1.0 when applying the IACR/IARC and SEER rules, respectively. A large difference was reported however for repeated breast cancer in women, of which 79 of 98 subsequent breast cancers were classified as SPC by SEER, but only 1 by IACR/IARC [40]. In addition, there is no common definition of second or metachronous tumours. We used a 6-month delay as cut-off between synchronous and metachronous tumours [22]. However, shorter limits have also been used [13, 16, 17]. Finally, a few authors classified all subsequent tumours as metachronous, irrespective of time lag between first and second cancer diagnosis [64, 65]. Our sensitivity analysis, including primary cancers occurring within 6 months after initial diagnosis, revealed higher risk estimates than our main analyses. Consequently, our estimates are likely to be conservative.

The gradual implementation of regional cancer registration in Switzerland means that some SPC may have been wrongly classified as first cancers if the true first cancer was diagnosed prior to the implementation of cancer registration in that region. However, the magnitude of this bias is likely to be small. In France, based on data of a single cancer registry collecting data since 1958, a comparison of RR estimates of SPC obtained over fictional registration periods beginning 10 years, 5 years and 0 years before the study period reported small overestimations of RR of 0.1, 0.6, and 0.6%, respectively.

Although overall completeness of case ascertainment in Switzerland is high, potential underregistration of lymphoid leukemia was consistently observed across cancer registries [20]. For the cancer registry of Basel, potential underregistration was also reported for liver, pancreatic and ovarial cancer; for the cancer registry of Zurich also for non-Hodgkin lymphoma and ovarial, prostate and kidney cancer. At the national level (all registries combined), ovarial cancer, prostate cancer and lymphoid leukemia showed suspicious results regarding completeness. Consequently, it cannot be ruled out that some of the presented estimates are affected by underregistration. However, our results correspond very well to the results published from countries with high completeness of cancer registration, such as Denmark, Finland and Norway [12, 15, 18].

Finally, we cannot exclude chance findings resulting from multiple comparisons, or the possibility that genuine effects have been missed due to low statistical power for some comparisons.

Conclusions

Swiss cancer survivors have an increased risk of developing a SPC compared to the general population. This risk is especially high among patients first diagnosed before age 50 years and those surviving at least 10 years. Cancer patients should remain under continued surveillance not only for recurrent cancers but also for new primary cancers. First and second cancers that share common lifestyle associated risk factors are rather common and underlines the importance to promote healthier lifestyles in both the general population and cancer survivors.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Change history

  • 03 February 2020

    Following publication of the original article [1], an error was reported in the author group. The correct author group should read as follows:

Abbreviations

95%CI:

95% confidence interval

BS/BL:

Basel-Stadt/Basel-Landschaft

DCO:

Death certificate only cases

ENCR:

European Network of Cancer Registries

IACR:

International Association of Cancer Registries

IARC:

International Association for Research on Cancer

ICD-10:

International Classification of Diseases, 10th revision

PSA:

prostate-specific antigen

RR:

Relative risk

SEER:

Surveillance Epidemiology and End Results Program

SEP:

Socioeconomic position

SIR:

Standardized incidence ratio

SPC:

Second primary cancer

References

  1. de Moor JS, Mariotto AB, Parry C, Alfano CM, Padgett L, Kent EE, Forsythe L, Scoppa S, Hachey M, Rowland JH. Cancer survivors in the United States: prevalence across the survivorship trajectory and implications for care. Cancer Epidemiol Biomark Prev. 2013;22(4):561–70.

    Google Scholar 

  2. Lorez M, Galli F, Arndt V, the NICER Working Group. Swiss cancer prevalence and language region. Swiss Cancer Bulletin. 2018;38(1):86–93.

    Google Scholar 

  3. Maddams J, Utley M, Moller H. Projections of cancer prevalence in the United Kingdom, 2010-2040. Br J Cancer. 2012;107(7):1195–202.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Barlogie B, Alexanian R, Dicke K, Zagars G, Spitzer G, Jagannath S, Horwitz L. High-dose chemoradiotherapy and autologous bone marrow transplantation for resistant multiple myeloma. Blood. 1987;70(3):869–72.

    CAS  PubMed  Google Scholar 

  5. Switzerland's population 2016. Neuchâtel: Federal Statistical Office Switzerland; 2017 [https://www.bfs.admin.ch/bfs/en/home/statistics/catalogues-databases/publications.assetdetail.3902101.html].

  6. Life expectancy at birth, total and in good health, 1982.2016 [https://www.bfs.admin.ch/bfs/en/home/statistics/catalogues-databases/graphs.assetdetail.5126066.html]. Accessed 04 Jan 2019.

  7. Sun E, Jena AB, Lakdawalla D, Reyes C, Philipson TJ, Goldman D. The contributions of improved therapy and earlier detection to cancer survival gains, 1988–2000. Forum for Health Economics & Policy, De Gruyter. 2010;13(2):1–22.

  8. Seabury SA, Goldman DP, Gupta C, et al. Quantifying Gains in the War on Cancer Due to Improved Treatment and Earlier Detection. Forum for Health Economics and Policy. 2015;19(1):141–156. Retrieved 19 Dec. 2019, from https://doi.org/10.1515/fhep-2015-0028.

    PubMed  Google Scholar 

  9. Vogt A, Schmid S, Heinimann K, Frick H, Herrmann C, Cerny T, Omlin A. Multiple primary tumours: challenges and approaches, a review. ESMO Open. 2017;2(2):e000172.

    PubMed  PubMed Central  Google Scholar 

  10. Keegan THM, Bleyer A, Rosenberg AS, Li Q, Goldfarb M. Second primary malignant neoplasms and survival in adolescent and young adult Cancer survivors. JAMA Oncol. 2017;3(11):1554–7.

    PubMed  PubMed Central  Google Scholar 

  11. New malignancies among cancer survivors. SEER cancer registries, 1973–2000, vol. 05-5302. Bethesda: National Cancer Institute NIH Publ; 2006.

    Google Scholar 

  12. Dong C, Hemminki K. Second primary neoplasms in 633,964 cancer patients in Sweden, 1958-1996. Int J Cancer J Cancer. 2001;93(2):155–61.

    CAS  Google Scholar 

  13. Jegu J, Colonna M, Daubisse-Marliac L, Tretarre B, Ganry O, Guizard AV, Bara S, Troussard X, Bouvier V, Woronoff AS, et al. The effect of patient characteristics on second primary cancer risk in France. BMC Cancer. 2014;14:94.

    PubMed  PubMed Central  Google Scholar 

  14. Levi F, Randimbison L, Rafael BM, Manuela MC, La Vecchia C. Second primary cancers in the Vaud and Neuchatel Cancer registries. Eur J Cancer Prev. 2015;24(2):150–4.

    PubMed  Google Scholar 

  15. Sankila R, Pukkala E, Teppo L. Risk of subsequent malignant neoplasms among 470,000 cancer patients in Finland, 1953-1991. Int J Cancer. 1995;60(4):464–70.

    CAS  PubMed  Google Scholar 

  16. Tabuchi T, Ito Y, Ioka A, Miyashiro I, Tsukuma H. Incidence of metachronous second primary cancers in Osaka, Japan: update of analyses using population-based cancer registry data. Cancer Sci. 2012;103(6):1111–20.

    CAS  PubMed  Google Scholar 

  17. Youlden DR, Baade PD. The relative risk of second primary cancers in Queensland, Australia: a retrospective cohort study. BMC Cancer. 2011;11:83.

    PubMed  PubMed Central  Google Scholar 

  18. Storm HH, Lynge E, Osterlind A, Jensen OM. Multiple primary cancers in Denmark 1943-80; influence of possible underreporting and suggested risk factors. Yale J Biol Med. 1986;59(5):547–59.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Levi F, Randimbison L, Te VC, Rolland-Portal I, Franceschi S, La Vecchia C. Multiple primary cancers in the Vaud Cancer registry, Switzerland, 1974-89. Br J Cancer. 1993;67(2):391–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Lorez M, Bordoni A, Bouchardy C, Bulliard JL, Camey B, Dehler S, Frick H, Konzelmann I, Maspoli M, Mousavi SM, et al. Evaluation of completeness of case ascertainment in Swiss cancer registration. Eur J Cancer Prev. 2017;26 Joining forces for better cancer registration in Europe:S139–46.

    PubMed  Google Scholar 

  21. Costa LJ, Brill IK, Omel J, Godby K, Kumar SK, Brown EE. Recent trends in multiple myeloma incidence and survival by age, race, and ethnicity in the United States. Blood Advances. 2017;1(4):282–7.

    PubMed  PubMed Central  Google Scholar 

  22. Bellù F, Cassetti T, Dal Maso L, Magnani C, Patriarca S, Ponz de Leon M, Rashid I, Vicari P, Vitarelli S. Cancer registration handbook 2010: Italian Cancer registry association (AIRTUM); 2010.

    Google Scholar 

  23. Demaret E, Ferlay J, Parkin M, Tyczynski J, Whelan S. International rules for multiple primary cancers. Asian Pac J Cancer Prev. 2005;6:104–6.

    Google Scholar 

  24. Feller A, Clough-Gorr K. Follow-up registration and completeness in Switzerland. In: International Association of Cancer Registries (IACR) Annual Meeing. Cork, Ireland; 2012.

    Google Scholar 

  25. Horwich A, Swerdlow AJ. Second primary breast cancer after Hodgkin's disease. Br J Cancer. 2004;90(2):294–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987.

  27. Gmel G, Kuendig H, Notari L, Gmel C. In: Lausanne Schweiz SS, editor. Suchtmonitoring Schweiz Konsum von Alkohol, Tabak und illegalen Drogen in der Schweiz im Jahr 2016; 2017.

    Google Scholar 

  28. Guessous I, Cullati S, Fedewa SA, Burton-Jeangros C, Courvoisier DS, Manor O, Bouchardy C. Prostate cancer screening in Switzerland: 20-year trends and socioeconomic disparities. Prev Med. 2016;82:83–91.

    PubMed  Google Scholar 

  29. Eichholzer M, Richard A, Rohrmann S, Schmid SM, Leo C, Huang DJ, Guth U. Breast cancer screening attendance in two Swiss regions dominated by opportunistic or organized screening. BMC Health Serv Res. 2016;16(1):519.

    PubMed  PubMed Central  Google Scholar 

  30. Ess S, Savidan A, Frick H, Rageth C, Vlastos G, Lutolf U, Thurlimann B. Geographic variation in breast cancer care in Switzerland. Cancer Epidemiol. 2010;34(2):116–21.

    CAS  PubMed  Google Scholar 

  31. Boyle P, Parkin DM: Statistical methods for registries. In: Cancer Registration: Principles and Methods. edn. Edited by Jensen OM, Parkin DM, MacLennan R, Muir CS, Skeet RG. Lyon: International Agency for Research on Cancer (IARC); 1991.

  32. Breslow N, N. D. Statistical methods in Cancer research. Volume II: the design and analysis of cohort studies. Vol. 2, IARC scientific publications no. 82. Lyon: Oxford University Press; 1987.

    Google Scholar 

  33. Boyle P, Parkin DM. Statistical Methods for Registries. In: Cancer Registration: Principles and Methods. edn. Lyon: International Agency for Research on Cancer (IACR); 1991. p. 126–58.

    Google Scholar 

  34. Hayat MJ, Howlader N, Reichman ME, Edwards BK. Cancer statistics, trends, and multiple primary cancer analyses from the surveillance, epidemiology, and end results (SEER) program. Oncologist. 2007;12(1):20–37.

    PubMed  Google Scholar 

  35. Preyer O, Concin N, Obermair A, Concin H, Ulmer H, Oberaigner W. The relative risk of second primary cancers in Austria's western states: a retrospective cohort study. BMC Cancer. 2017;17(1):699.

    PubMed  PubMed Central  Google Scholar 

  36. Buiatti E, Crocetti E, Acciai S, Gafa L, Falcini F, Milandri C, La Rosa M. Incidence of second primary cancers in three Italian population-based cancer registries. Eur J Cancer. 1997;33(11):1829–34.

    CAS  PubMed  Google Scholar 

  37. Pelucchi C, Gallus S, Garavello W, Bosetti C, La Vecchia C. Cancer risk associated with alcohol and tobacco use: focus on upper aero-digestive tract and liver. Alcohol Res Health. 2006;29(3):193–8.

    PubMed  PubMed Central  Google Scholar 

  38. Shiels MS, Gibson T, Sampson J, Albanes D, Andreotti G, Beane Freeman L, Berrington de Gonzalez A, Caporaso N, Curtis RE, Elena J, et al. Cigarette smoking prior to first cancer and risk of second smoking-associated cancers among survivors of bladder, kidney, head and neck, and stage I lung cancers. J Clin Oncol. 2014;32(35):3989–95.

    PubMed  PubMed Central  Google Scholar 

  39. Kusminsky G, Abriata G, Forman D, Sierra MS. Hodgkin lymphoma burden in central and South America. Cancer Epidemiol. 2016;44(Suppl 1):S158–67.

    PubMed  Google Scholar 

  40. Coyte A, Morrison DS, McLoone P. Second primary cancer risk - the impact of applying different definitions of multiple primaries: results from a retrospective population-based cancer registry study. BMC Cancer. 2014;14:272.

    PubMed  PubMed Central  Google Scholar 

  41. Matthes KL, Limam M, Dehler S, Korol D, Rohrmann S. Primary treatment choice over time and relative survival of prostate Cancer patients: influence of age, grade, and stage. Oncol Res Treat. 2017;40(9):484–9.

    PubMed  Google Scholar 

  42. Jegerlehner S, Chiolero A, Aujesky D, Rodondi N, Germann S, Konzelmann I, Bulliard JL, Group NW. Recent incidence and surgery trends for prostate cancer: towards an attenuation of overdiagnosis and overtreatment? PLoS One. 2019;14(2):e0210434.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. Rapiti E, Fioretta G, Schaffar R, Neyroud-Caspar I, Verkooijen HM, Schmidlin F, Miralbell R, Zanetti R, Bouchardy C. Impact of socioeconomic status on prostate cancer diagnosis, treatment, and prognosis. Cancer. 2009;115(23):5556–65.

    PubMed  Google Scholar 

  44. Tweed EJ, Allardice GM, McLoone P, Morrison DS. Socio-economic inequalities in the incidence of four common cancers: a population-based registry study. Public Health. 2018;154:1–10.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Yin D, Morris C, Allen M, Cress R, Bates J, Liu L. Does socioeconomic disparity in cancer incidence vary across racial/ethnic groups? Cancer Causes Control. 2010;21(10):1721–30.

    PubMed  PubMed Central  Google Scholar 

  46. Shankar A, McMunn A, Steptoe A. Health-related behaviors in older adults relationships with socioeconomic status. Am J Prev Med. 2010;38(1):39–46.

    PubMed  Google Scholar 

  47. Robinson D. Second primary breast cancers following an initial diagnosis of cancer in one breast: a methodological issue. Br J Cancer. 2008;99(10):1754–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Fenner L, Kassner A, Berlin C, Egger M, Zwahlen M. Trends in the use of mammography for early breast cancer detection in Switzerland: Swiss health surveys 2007 and 2012. Swiss Med Wkly. 2018;148:w14603.

    PubMed  Google Scholar 

  49. Lutz JM, Reith-Chaton J, Fioretta G, Cerny V, Bouchardy C. Surveys on mammography frequency in Geneva. J Med Screen. 2000;7(2):111–3.

    CAS  PubMed  Google Scholar 

  50. Feller A, Schmidlin K, Bordoni A, Bouchardy C, Bulliard JL, Camey B, Konzelmann I, Maspoli M, Wanner M, Clough-Gorr KM, et al. Socioeconomic and demographic disparities in breast cancer stage at presentation and survival: a Swiss population-based study. Int J Cancer. 2017;141(8):1529–39.

    CAS  PubMed  Google Scholar 

  51. Welcsh PL, King MC. BRCA1 and BRCA2 and the genetics of breast and ovarian cancer. Hum Mol Genet. 2001;10(7):705–13.

    CAS  PubMed  Google Scholar 

  52. Assi HA, Khoury KE, Dbouk H, Khalil LE, Mouhieddine TH, El Saghir NS. Epidemiology and prognosis of breast cancer in young women. J Thorac Dis. 2013;5(Suppl 1):S2–8.

    PubMed  PubMed Central  Google Scholar 

  53. Berian JR, Benson AB 3rd, Nelson H. Young age and aggressive treatment in Colon Cancer. JAMA. 2015;314(6):613–4.

    CAS  PubMed  Google Scholar 

  54. Fredholm H, Eaker S, Frisell J, Holmberg L, Fredriksson I, Lindman H. Breast cancer in young women: poor survival despite intensive treatment. PLoS One. 2009;4(11):e7695.

    PubMed  PubMed Central  Google Scholar 

  55. Travis LB. The epidemiology of second primary cancers. Cancer Epidemiol Biomark Prev. 2006;15(11):2020–6.

    Google Scholar 

  56. Ye Y, Neil AL, Wills KE, Venn AJ. Temporal trends in the risk of developing multiple primary cancers: a systematic review. BMC Cancer. 2016;16(1):849.

    PubMed  PubMed Central  Google Scholar 

  57. Jegerlehner S, Bulliard JL, Aujesky D, Rodondi N, Germann S, Konzelmann I, Chiolero A, Group NW. Overdiagnosis and overtreatment of thyroid cancer: a population-based temporal trend study. PLoS One. 2017;12(6):e0179387.

    PubMed  PubMed Central  Google Scholar 

  58. Schaapveld M, Aleman BM, van Eggermond AM, Janus CP, Krol AD, van der Maazen RW, Roesink J, Raemaekers JM, de Boer JP, Zijlstra JM, et al. Second Cancer risk up to 40 years after treatment for Hodgkin's lymphoma. N Engl J Med. 2015;373(26):2499–511.

    CAS  PubMed  Google Scholar 

  59. Sud A, Thomsen H, Sundquist K, Houlston RS, Hemminki K. Risk of second Cancer in Hodgkin lymphoma survivors and influence of family history. J Clin Oncol. 2017;35(14):1584–90.

    PubMed  PubMed Central  Google Scholar 

  60. van Leeuwen FE, Klokman WJ, Stovall M, Hagenbeek A, van den Belt-Dusebout AW, Noyon R, Boice JD Jr, Burgers JM, Somers R. Roles of radiotherapy and smoking in lung cancer following Hodgkin's disease. J Natl Cancer Inst. 1995;87(20):1530–7.

    PubMed  Google Scholar 

  61. Adamo MB, Johnson CH, Ruhl JL, Dicki LA. SEER program coding and staging manual. NIH publication number 12–5581. National Cancer Institute: Bethesda; 2012.

    Google Scholar 

  62. International rules for multiple primary cancers (ICD-O Third Edition). Lyon: International Agency for Research on Cancer (IARC); 2004.

  63. Weir HK, Johnson CJ, Ward KC, Coleman MP. The effect of multiple primary rules on cancer incidence rates and trends. Cancer Causes Control. 2016;27(3):377–90.

    PubMed  PubMed Central  Google Scholar 

  64. Chen MC, Chen PT, Chan CH, Yang CT, Chen CC, Huang CE, Lu CH, Lee KD. Second primary esophageal or lung cancer in patients with head and neck carcinoma in Taiwan: incidence and risk in relation to primary index tumor site. J Cancer Res Clin Oncol. 2011;137(1):115–23.

    PubMed  Google Scholar 

  65. Utada M, Ohno Y, Hori M, Soda M. Incidence of multiple primary cancers and interval between first and second primary cancers. Cancer Sci. 2014;105(7):890–6.

    CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Members of the NICER Working Group for these analyses included: Basel– K. Staehelin, Geneva– C. Bouchardy, Glarus and Graubünden– M. Mousavi, Neuchâtel – J.L. Bulliard and M. Maspoli, East Switzerland– M. Mousavi, Ticino– A. Bordoni, Valais– I. Konzelmann, Vaud– J.L. Bulliard and R. Blanc-Moya, Zürich – S. Rohrmann.

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Contributions

Conception and design: AF, KLM, VA. Acquisition of data: AB, CB, JLB, IK, MaM, MoM, SR, KS. Analysing the data: AF, KLM. Interpretation of the data: AF, KLM, AB, CB, JLB, CH, IK, MaM, MoM, SR, KS, VA. Drafting the manuscript: AF. Critically revising the manuscript:: AF, KLM, AB, CB, JLB, CH, IK, MaM, MoM, SR, KS, VA. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Anita Feller.

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No informed consent of the patients was necessary for this study. The data were collected and aggregated according to cantonal and statewide provisions for the purpose of monitoring cancer burden, care and outcomes and were provided and used for this study according to the respective legal regulations and approved by the Ethics Committee Zurich (PB_2016–01643).

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The original version of this article was revised: "The author group of this article was duplicated and has been corrected.

Supplementary information

Additional file 1: Table S1.

Relative risk of synchronous primary tumour (follow-up period 0–6 month). Table S2. Median age at diagnosis and 5-year observed survival by cancer site and sex. Table S3. Relative risk of second primary cancer following cancer of the oral cavity and pharynx by type of second primary cancer and sex. Table S4. Relative risk of second primary cancer following oesophageal cancer by type of second primary cancer and sex. Table S5. Relative risk of second primary cancer following laryngeal cancer by type of second primary cancer and sex. Table S6. Relative risk of second primary cancer following lung cancer by type of second primary cancer and sex. Table S7. Relative risk of second primary cancer following Hodgkin lymphoma by type of second primary cancer and sex. Figure S1. Relative risk of second primary cancer by site of first primary cancer and sex including synchronous tumours including the first 6 month after initial diagnosis for risk calculations.

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Feller, A., Matthes, K.L., Bordoni, A. et al. The relative risk of second primary cancers in Switzerland: a population-based retrospective cohort study. BMC Cancer 20, 51 (2020). https://doi.org/10.1186/s12885-019-6452-0

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