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Frontiers in Oncology logoLink to Frontiers in Oncology
. 2022 Sep 15;12:935687. doi: 10.3389/fonc.2022.935687

Groundwater radon exposure and risk of lung cancer: A population-based study in Finland

Kishor Hadkhale 1,*, Janne Atosuo 1, Tuula Putus 1
PMCID: PMC9520750  PMID: 36185272

Abstract

Naturally occurring radioactive elements can be found in groundwater and exposure to such elements is associated with an increased risk of lung cancer. In this study, we aimed to observe the association between exposure to these radioactive elements in groundwater and the risk of lung cancer in selected regions in Finland. This is a population-based study from 1955 to 2019 in Finland. The exposed municipalities with their corresponding hospital districts were selected based on radon measurements at groundwater treatment plants. Lung cancer cases were obtained from the Finnish cancer registry. The 5-year incidence rates for lung cancer were calculated and a comparison was made between each of the hospital districts with radon exposure. More than 93,000 cases of lung cancer were reported in the radon-exposed regions over the examined period of 64 years. The highest number of cases was recorded in the Helsinki University hospital district and the least in the Southern Savo hospital district. Similarly, the lung cancer incidence rate was highest in Lapland and lowest in the Southern Savo hospital district. The number of daily smokers in the working-age population appears to have decreased in all the hospital districts from 2013 to 2018. A statistically significant increased risk of lung cancer was observed in the high radon-exposed hospital districts compared to those with lower exposure. Groundwater radon exposure is observed to be associated with an increased risk of lung cancer.

Keywords: cancer, exposure, groundwater, lung, radon

Introduction

Radon exposure is a primary cause of lung cancer among non-smokers and the second leading cause among smokers worldwide (1). Epidemiological studies have reported that the synergistic effect of lung cancer risk is higher among smokers (both current and former smokers) exposed to radon (24). These studies reported that every 100 becquerels per cubic meter (Bq/m3) increase in radon is associated with an approximate 8% increase in the risk (95% CI 3.0–16.0) of lung cancer; this suggests an overall burden of a 10%–15% risk of lung cancer due to radon exposure (5). Pooled analysis of individual case–control studies from European and North American studies has shown a significantly increased risk of lung cancer due to residential radon exposure (69). A recent African study also showed an increased risk of cancer due to groundwater radon exposure (10). Findings from other Nigerian studies were consistent with exposure to radon in drinking water (11, 12). Naturally occurring radioactive elements are found in all groundwater and primarily in bedrock waters. Radon is the most significant factor among these elements as it dissolves in groundwater. Exposure to these radioactive elements increases the risk of cancer, and radon is primarily associated with the risk of lung cancer (13). Groundwater is a source of indoor air radon as radon transfers from the water to the air during various water-related activities such as laundry and during showers (14, 15). It is a colorless radioactive gas that forms naturally from the decay of radioactive elements. Radon in the soil can move freely in the air, underground water, and surface water. It can only be detected by radon analysis (4).

The overall incidents of lung cancer cases have increased in Finland since the early 1990s with the highest number of cases in the Helsinki University Hospital district and the lowest in the Oulu University Hospital district. However, the age-standardized incidence rate has decreased over the years and has been relatively stable since around the 2000s. In terms of gender, the age-standardized incidence rate has sharply decreased among men but slightly increased among women throughout the period (16). In Finland, according to STUK (the Radiation and nuclear safety authority), over 300 lung cancer cases per year are diagnosed due to radon alone. The International Agency for Research on Cancer (IARC) has classified radon as a group 1 carcinogenic for humans (2). Finland has a higher radon concentration compared to other European countries due to the geology, construction technology, climate, and uranium concentration in Finnish soil (17). The average radon concentration in Finnish homes is approximately 94 Bq/m3 (18). However, there is a quite large regional difference. In Finland, STUK is responsible for safety, measurement, monitoring, control, security, and development regulations for all types of radiation. Systematic surveys of radon concentration in Finnish groundwater were already started in the 1960s. However, the complete information for radon concentration is still unclear. With the new radiation act (2018) in place, it is expected that better expertise in terms of radon measurements will be possible throughout the country and primarily in high-risk municipalities. This study aims to observe the association between groundwater radon exposure and the risk of lung cancer.

Materials and methods

This is a population-based study in Finland. The exposed municipalities were selected based on STUK’s indoor radon measurements at groundwater treatment plants (19). According to the radiation act (859/2018), authorities are obliged to measure radon in the indoor air at water treatment plants if the indoor air at the workplace is in contact with groundwater or artificial groundwater.

A total of 425 radon measurements at both groundwater and artificial groundwater facilities were made in 2020. The radon measurements were carried out in 211 workplaces by 51 employers. The study was conducted in 59 municipalities corresponding to the14 hospital districts throughout Finland ( Table 1 ). Details about exposure in the municipalities are available in the following (19). Municipalities with radon exposure are categorized based on exposure estimates. These are categorized as follows: a maximum exposure value of <334 Bq/m3 (no exposure), 334–1,499 Bq/m3 (low exposure) 1,500–10,500 Bq/m3 (medium exposure), and >10,500 Bq/m3 (high exposure). However, for our analysis, we categorized no exposure, low exposure, and medium exposure as low-risk hospital districts and high exposure as high-risk hospital districts. Likewise, lung cancer cases were calculated from the Finnish Cancer Registry (https://cancerregistry.fi/statistics/cancer-statistics/). In this study, we calculated the cancer cases from 14 selected hospital districts corresponding to their respective radon-exposed municipalities. A unique personal identification number provided to all individuals in the Finnish population helped in obtaining various information about health and other matters. The Finnish Cancer Registry obtains cancer cases using this personal identification number from the population registry. The exact 95% confidence intervals (CIs) of the incidence rates were defined based on Poisson regression. We used two-sided tests to obtain a statistical significance level of 0.05. We were unable to identify the incident cancer cases in each of the exposed municipalities due to the smaller number of cases. Hence, according to the data security and ethical guidelines, we estimated the lung cancer cases based on the hospital districts in the respective municipalities. There are altogether 22 hospital districts within the five university hospital districts in Finland.

Table 1.

Concentrations of indoor air radon at groundwater treatment plants in Finnish municipalities in 2020.

Municipalities Min. Max. Above reference level (%) Hospital districts University hospital districts
1 Eura 39 693 50 Satakunta TYKS
2 Forssa 14 376 17 Kanta-Häme TAYS
3 Haapajärvi 3930 3,930 100 Northern Ostrobothnia OYS
4 Hanko 7 7,384 23 Uusimaa HYKS
5 Harjavalta 45 701 25 Satakunta TYKS
6 Hattula 33 2,630 50 Kanta-Häme TAYS
7 Hausjärvi 448 1,780 100 Kanta-Häme TAYS
8 Hollola 120 5,340 65 Päijät-Häme HYKS
9 Honkajoki 184 465 50 Satakunta TYKS
10 Huittinen 52 160 0 Satakunta TYKS
11 Hyvinkää 28 1,100 25 Uusimaa HYKS
12 Hämeenlinna 15 3,620 69 Kanta-Häme TAYS
13 Iitti 6720 6,720 100 Päijät-Häme HYKS
14 Imatra 68 1,267 67 South Karelia HYKS
15 Janakkala 33 9,928 29 Päijät-Häme TAYS
16 Joensuu 41 21,257 64 North Karelia KYS
17 Joutsa 192 1,697 67 Central Finland KYS
18 Jyväskylä 131 1,572 50 Central Finland KYS
19 Kajaani 4 847 20 Kainuu OYS
20 Kalajoki 289 1,686 80 Northern Ostrobothnia OYS
21 Kangasala 64 8,026 72 Tampere region TAYS
22 Kankaanpää 358 399 100 Satakunta TYKS
23 Karvia 1567 1,567 100 Satakunta TYKS
24 Kitee 2 1,312 29 North Karelia KYS
25 Kontiolahti 124 14,935 80 North Karelia KYS
26 Kouvola 16 6,370 62 Kymenlaakso HYKS
27 Kuopio 5 4,740 27 Northern Savo KYS
28 Lahti 10 2,100 69 Päijät-Häme HYKS
29 Lappeenranta 60 6,260 73 South Karelia HYKS
30 Laukaa 35 6,451 43 Central Finland KYS
31 Leppävirta 180 3,530 86 Northern Savo KYS
32 Miehikkälä 294 294 0 Kymenlaakso HYKS
33 Mäntsälä 17 348 20 Uusimaa HYKS
34 Mäntyharju 2101 4,976 100 Southern Savo KYS
35 Nakkila 95 95 0 Satakunta TYKS
36 Nokia 95 540 50 Tampere region TAYS
37 Nurmes 2253 2,955 100 North Karelia KYS
38 Nurmijärvi 290 1,120 50 Uusimaa HYKS
39 Orimattila 1663 6,130 100 Päijät-Häme HYKS
40 Orivesi 765 1,071 100 Tampere region TAYS
41 Outokumpu 355 1,186 100 North Karelia KYS
42 Parikkala 111 582 50 South Karelia HYKS
43 Pori 8 10 0 Satakunta TYKS
44 Pornainen 221 613 50 Uusimaa HYKS
45 Pukkila 110 202 0 Päijät-Häme HYKS
46 Riihimäki 39 440 33 Kanta-Häme TAYS
47 Rovaniemi 880 31,600 100 Lapland OYS
48 Sievi 780 10,610 100 Northern Ostrobothnia OYS
49 Siikainen 69 266 0 Satakunta TYKS
50 Siilinjärvi 136 3,013 71 Northern Savo KYS
51 Sipoo 5690 5,690 100 Uusimaa HYKS
52 Säkylä 212 237 0 Satakunta TYKS
53 Tampere 27 10,360 72 Tampere region TAYS
54 Tohmajärvi 20 8,964 50 North Karelia KYS
55 Tuusniemi 10420 10,550 100 Northern Savo KYS
56 Tuusula 80 530 33 Uusimaa HYKS
57 Ulvila 129 1,935 67 Satakunta TYKS
58 Valtimo 530 530 100 North Karelia KYS
59 Ylöjärvi 140 14130 63 Tampere region TAYS

Source: STUK report 2020.

The results are presented based on cancer incidences in each of the selected hospital districts from 1955 to 2019. Lung cancer cases were estimated according to the 5-year incidence rate and stratified by gender. Incidence rates are presented both in an overall rate of per 100,000 and in the age-standardized rate of Finland (2014) ( Table 2 ). Similarly, the high- and low-risk municipalities were categorized based on the quantitative radon exposure estimates at the selected groundwater treatment plants (19). This study includes all the lung cancer cases from all of the exposed municipalities. The five selected university hospital districts included the Helsinki University Hospital district (HYKS) which is composed of the Uusimaa hospital district (without the Helsinki region), the Kymenlaakso hospital region, the Päijät-Häme hospital district, and the South Karelia hospital district. The Turku University Hospital district (TYKS) includes the Satakunta hospital district. Similarly, the Tampere University Hospital district (TAYS) consists of the Kanta-Häme and Pirkanmaa hospital districts. The Kuopio University Hospital district (KYS) is composed of the Southern Savo hospital district, the North Karelia hospital district, the Northern Savo hospital district, and the central Finland hospital district. The Oulu University Hospital district (OYS) includes the Northern Ostrobothnia hospital district, Kainuu hospital district, and Lapland hospital district ( Table 3 ).

Table 2.

The incidence rate and total number of diagnosed lung cancer cases in Finland from 1955 to 2019, by hospital district.

Hospital districts *Incidence rate **ASR (FIN) Diagnosed cases
1 Central Finland hospital district 503.5 722.0 5,854
2 Kainuu hospital district 601.1 862.6 2,649
3 Kanta-Häme hospital district 584.5 732.3 4,716
4 Kymenlaakso hospital district 591.3 737.5 5,395
5 Lapland hospital district 603.0 932.1 3,751
6 North Karelia hospital district 655.9 885.3 6,033
7 Northern Ostrobothnia hospital district 516.6 853.4 9,014
8 Northern Savo hospital district 580.2 796.1 7,431
9 Päijät-Häme hospital district 543.4 709.0 5,483
10 Satakunta hospital district 590.2 758.9 6,880
11 South Karelia hospital district 589.0 732.2 4,094
12 Southern Savo hospital district 579.6 694.8 3,412
13 Tampere region hospital district 541.1 714.4 12,372
14 Uusimaa without Helsinki 480.0 811.7 16,606

*The number of new cancer cases per 100,000 people per year.

**The number of new cancer cases per 100,000 people per year, if the age structure of the population remains similar to that in Finland in 2014.

Table 3.

Radon exposure information in the selected municipalities and hospital districts in Finland.

SN Hospital districts Municipalities University hospital districts
1 Uusimaa hospital district (without Helsinki) Hyvinkää, Mäntsälä, Nurmijärvi, Pornainen, Tuusula, Hanko, Sipoo Helsinki University Hospital district.
2 Kymenlaakso hospital district Miehikkälä, Kouvola Helsinki University Hospital district.
3 Päijät-Häme hospital district Pukkila, Hollola, Iitti, Lahti, Orimattila Helsinki University Hospital district.
4 South Karelia hospital district Imatra, Parikkala, Lappeenranta Helsinki University Hospital district
5 North Karelia hospital district Joensuu, Kitee, Kontiolahti, Nurmes, Outokumpu, Tohmajärvi, Valtimo Kuopio University Hospital district
6 Northern Savo hospital district Kuopio, Leppävirta, Siilinjärvi, Tuusniemi Kuopio University Hospital district
7 Southern Savo hospital district Mäntyharju Kuopio University Hospital district
8 Central Finland hospital district Joutsa, Jyväskylä, Laukaa Kuopio University Hospital district
9 Northern Ostrobothnia hospital district Haapajärvi, Kalajoki, Sievi Oulu University Hospital district
10 Lapland hospital district Rovaniemi Oulu University Hospital district
11 Tampere region (Pirkanmaa) hospital district. Kangasala, Nokia, Orivesi, Tampere, Ylöjärvi Tampere University Hospital district
12 Kanta-Häme hospital district Riihimäki, Forssa, Hattula, Hausjärvi, Hämeenlinna, Janakkala Tampere University Hospital district
13 Kainuu hospital district Kajaani Oulu University Hospital district
14 Satakunta hospital district Honkajoki, Huittinen, Nakkila, Pori, Siikainen, Säkylä, Eura, Harjavalta, Kankaanpää, Karvia, Ulvila Turku University Hospital district

Results

More than 93,000 cases of lung cancer cases were reported by the radon-exposed hospital districts from 1955 to 2019. The majority of the cases (approximately 80%) were men ( Figure 1 ). The highest number of lung cancer cases were diagnosed in the Uusimaa hospital district (n = 16,606) and Pirkanmaa hospital district (n = 12,372), whereas the least were from the Southern Savo hospital district (n = 3,412) and Lapland hospital district (n = 3,751 ( Figure 2 ). During this period, the incidence rate of lung cancer increased until 1985 and then started to decrease throughout this region until late 1990. However, the incidence again started to increase after 2000 and has continued to increase ( Figure 3 ).

Figure 1.

Figure 1

Diagnosed lung cancer cases by gender in selected radon-exposed municipalities in Finland from 1955 to 2019.

Figure 2.

Figure 2

Diagnosed lung cancer cases by hospital district in Finland from 1955 to 2019.

Figure 3.

Figure 3

Lung cancer incidence rates in radon-exposed municipalities in Finland from 1955 to 2019. The number of new cancer cases per 100,000 people per year, if the age structure of the population remains similar to that in Finland in 2014. The number of new cancer cases per 100,000 people per year.

In the stratification based on the hospital districts, it was observed that the Lapland, North Karelia, and Northern Ostrobothnia hospital districts had the highest incidence rates whereas Southern Savo, central Finland, Päijät-Häme, the Tampere region (Pirkanmaa), and South Karelia had lower incidence rates. The age-standardized incidence rate was highest in Lapland (932.05), North Karelia (885.25), and Northern Ostrobothnia (853.42) and lowest in the Southern Savo and Päijät-Häme hospital districts according to the age structure of the Finnish population in 2014 ( Figure 4 ). Accordingly, the radon exposure estimate was observed to be the highest in the Lapland, North Karelia, and Northern Ostrobothnia hospital districts. The highest mean average risk (>10,000 Bq/m3) was observed in Rovaniemi (Lapland hospital district), Joensuu and Kontiolahti (North Karelia Hospital district), Ylöjärvi (Pirkanmaa hospital district), Sievi (Northern Ostrobothnia hospital district), and Tuusniemi (Northern Savo hospital district). Similarly, low to no risk was observed in the following municipalities: Huittinen, Nakkila, Pori, Siikainen, Säkylä, Eura, Harjavalta, Honkajoki, Kankaanpää (Satakunta hospital district) Pukkila (Päijät-Häme hospital district), Miehikkälä (Kymenlaakso hospital district), Orivesi, Nokia (Pirkanmaa hospital district), Riihimäki, Forssa (Kanta-Häme hospital district), and Imatra and Parikkala (South Karelia hospital districts) ( Tables 1 , 3 and Figure 5 ). A statistically significant increased risk was observed in the high-risk hospital districts as compared to the low-risk hospital districts. In comparison with the reference category, the highest risks were observed at 1.18, 1.14–1.23; 1.17, 1.13–1.22; and 1.13, 1.08–1.17 in Lapland, North Karelia, and Northern Ostrobothnia hospital districts, respectively ( Table 4 ).

Figure 4.

Figure 4

Lung cancer incidence rates in radon-exposed municipalities with their corresponding hospital districts in Finland from 1955 to 2019. The number of new cancer cases per 100,000 people per year. The number of new cancer cases per 100,000 people per year, if the age structure of the population remains similar to that in Finland in 2014.

Figure 5.

Figure 5

Map of Finland indicating radon exposure areas. Source: Senja et al., 2021.

Table 4.

Lung cancer incidence rates in Finland from 1955 to 2019 in radon-exposed municipalities with their corresponding hospital districts.

Hospital districts University hospitals IRR 95% CI
Reference (low) Others 1.00 Reference
Lapland hospital district Oulu University Hospital district 1.18 1.14-1.23
North Karelia hospital district Kuopio University Hospital district 1.17 1.13-1.22
Northern Ostrobothnia Oulu University Hospital district 1.13 1.08-1.17

Low-risk hospital districts (reference): Central Finland hospital district, Kanta-Häme hospital district, Kymenlaakso hospital district, Northern Savo hospital district, Päijät-Häme hospital district, Satakunta hospital district, South Karelia hospital district, Southern Savo hospital district, The Tampere region hospital district, Uusimaa not including the Helsinki hospital region.

High-risk hospital districts: Lapland hospital district, North Karelia hospital district, and Northern Ostrobothnia hospital district.

Discussion

Based on the radon concentration at the groundwater treatment plants and the incidences of lung cancer, our study observed that almost all the municipalities with their corresponding hospital districts with the highest radon exposure level correlated with a higher incidence rate of lung cancer as compared to municipalities with lower or no exposure levels. Hence, we can conclude that groundwater radon exposure is associated with the increased risk of lung cancer in these regions.

Studies on indoor radon exposures and lung cancer are well represented by prior research, including the pathway combination for radon (6, 9, 20), whereas there are very few studies on the association between groundwater radon and the risk of cancer. Our findings were consistent with one other epidemiological study on groundwater radon concentration and lung cancer risk. This study, conducted in North Carolina, USA, observed a significant positive association between groundwater radon concentration and lung cancer incidence rates (20). According to the study, groundwater radon exposure was associated with an odds ratio (OR) of 1.13 (95% CI 1.04–1.23), suggesting an overall 3% increase in lung cancer incidence rate for every 100-Bq/l increase. The study was adjusted for various confounding factors such as age, gender, smoking, race, and indoor air radon, and the incidence of cancer cases was obtained from the North Carolina Central Cancer Registry. Another study conducted in Maine observed a similar positive significant correlation with lung cancer (21). The study measured the groundwater radon concentration from 16 different counties. According to the European Environment and Health Information System report, Finland belongs to one of the European countries more prone to radon emissions (17). In Finland, systematic surveys of groundwater radon exposure were already started in the 1960s. The survey was initiated in the Helsinki area where a mean exposure of 1,600 Bq/l was observed (22). This worrying figure obliged the authorities to survey waterborne radon throughout Finland. After the 1970s, the survey mainly focused on private wells and evaluating new groundwater sources before connection to local distribution networks (13). According to the most recent legislation, when the exposure of workers to radon is higher than the reference value, the workplace is placed under radon control and the workers are monitored until the exposure value among the workers is reduced below the threshold reference value. After this period of improvement, mitigation measures must be applied to limit the exposure within a certain deadline. For water utilities, the deadline is usually 1 year and the actions have to be measured and verified. For example, when the employee’s working hours exceed 600 at the same workplace, a reference value of 300 Bq/m3 must be observed. The annual average is estimated during the measurement period (value 0.9). This reference value of 300 Bq/m³ thus corresponds to a measurement result of 334 Bq/m³ (19). Every employer is responsible for notifying the authorities of the radon measurements that occur at the workplace. In this study, we have excluded the Helsinki municipality because Helsinki receives raw water from Lake Päijänne via a tunnel. The strengths of the study include the long follow-up time, the high reliability and validity of the exposure data provided by STUK, and smoking information from the National Institute of Health and Welfare (THL) and the Finnish Cancer Registry; this information made it possible to avoid biases such as the recall bias in the dataset.

The limitations of the study include the usual ecological study design where the incidence rate is assigned at the population level. In this study, we were not able to adjust for possible confounding factors such as smoking despite strong evidence of smoking and lung cancer risk. Similarly, the cancer cases were not available at the municipal level but rather at the hospital district level. This could weaken the association between the exposure variables and the outcome of interest. However, we were able to identify an association between rare exposures that had not been widely studied. Hence, this could initiate further research on individual-level exposure estimates and a smoking-adjusted risk of lung cancer. The purpose of this study was also to investigate the current situation of lung cancer cases in highly exposed regions and monitor the health of the population. Furthermore, the study could help develop and strengthen the legislation on radon exposure associated with public health risks. Since the incidence of radon-exposed lung cancer is very low, smoking adjustment could be difficult because the outcome is very rare. However, we have a significant sample size obtained from the Finnish Cancer Registry for the available exposure data. A Finnish database concerning smoking shows that the number of daily smokers, both men and women aged 20–64 years, has decreased in recent years in Finland (23). According to the database, in 2013, the highest number of daily smokers comprised residents in the South Karelia hospital district (22.9%) and the lowest in central Finland (15.4%) ( Figure 6 ). The same data also show that some reference hospital districts in our study observed a higher number of daily smokers in specific years. However, information was limited to the years 2013–2015 and 2018 and we cannot make any conclusions without more detailed information. The completeness and accuracy of the cancer registers are considered to be of high quality in international rankings (24). However, we were unable to find the association between radon exposure and lung cancer risk in the Pirkanmaa hospital region where the groundwater radon exposure estimates are relatively higher. Geographically, Tampere is situated between two large lakes. The Tampere region uses considerable amounts of surface water which could be one reason why the cancer cases, mainly lung cancer cases, are not in line with the higher level of groundwater radon exposure compared to the northern municipalities (25). In our study, we were not able to identify any chemical compounds other than radon as being present in groundwater that could lead to the risk of cancers including lung cancer. However, the effect would be very low or not correlated. One of the earlier studies on groundwater in Northern Finland showed that other groundwater components such as iron, nitrates, and uranium were negatively correlated (26). In this study, a strong positive correlation was observed mainly for overall cancer and lung cancer in both men and women. Hence, this could be the indication of the risk of radon exposure for lung cancer. Despite this, we were not able to identify a cause–effect relationship in this study.

Figure 6.

Figure 6

Total number of daily smokers in different hospital districts from 2013 to 2018 in Finland.

Conclusion

Based on these findings, we were able to observe an association between groundwater radon exposure and the risk of lung cancer. Future studies with high-quality individual-level quantitative exposures will be required to explore the association between lung cancer and possibly other cancer risks due to radon exposure.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: https://cancerregistry.fi/statistics/cancer-statistics/.

Author contributions

KH, JA, and TP designed, analyzed and prepared the manuscript. KH, JA, and TP revised, reviewed, provided critical feedback and approved the manuscript for final submission.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Associated Data

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

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: https://cancerregistry.fi/statistics/cancer-statistics/.


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