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American Journal of Epidemiology logoLink to American Journal of Epidemiology
. 2020 Oct 22;190(5):836–842. doi: 10.1093/aje/kwaa236

Cancer Incidence and Mortality in the Oldest Old: A Nationwide Study in Finland

Tomas Tanskanen , Karri J M Seppä, Anni Virtanen, Nea K Malila, Janne M Pitkäniemi
PMCID: PMC8096474  PMID: 33089310

Abstract

The world’s population is aging rapidly. This study reports the burden of cancer in the “oldest old” (aged ≥85 years) in Finland, 1953–2017, and estimates age-specific cancer rates in the older population (65–99 years) for 1988–2017. The Finnish Cancer Registry provided data on all cancer diagnoses, cancer deaths, and other deaths in cancer patients in Finland for 1953–2017. Between 1953–1957 and 2013–2017, the proportion of incident cancers in those aged ≥85 years increased from 1.5% to 9.6% (597 to 15,360 new cases), and in 2013–2017, more new cancers were diagnosed at ages ≥85 years than ages <50 years. Cancer incidence and excess mortality attributable to cancer peaked at ages 85–94 years and declined subsequently, whereas cancer-specific mortality continued to increase or plateaued. Due to demographic changes, the number of new cancers in the oldest old has increased substantially in Finland, and currently nearly 1 in 10 cancers are diagnosed in this age group. The increasing cancer burden in the oldest old poses a major challenge for health care and needs to be addressed in designing clinical research and reporting of cancer registries. In older populations with competing risks of death, we propose excess cancer mortality as a measure of cancer-related mortality.

Keywords: aging, incidence, mortality, neoplasms

Abbreviations

CI

confidence interval

FCR

Finnish Cancer Registry

RR

rate ratio

Cancer is more common in old age than earlier in life, and populations are aging rapidly around the world, which has increased the number of older adults with cancer. People aged 85 years and older (≥85) are known as the “oldest old.” In the World Population Prospects study, the number of people aged ≥85 years in the European region was projected to rise from 19 million in 2020 to 40 million by 2050, while the total population was expected to change only slightly (1).

Because of challenges in cancer surveillance and registration in very old people, few population-based studies have provided reliable estimates of cancer rates in the oldest old, and by convention, many studies have reported cancer statistics for ages ≥85 as a single age group. In the Nordic countries, approximately 8% of all new cancers, excluding nonmelanoma skin cancers, occur in the oldest old (2) (https://www.ancr.nu/). Cancer incidence appears to increase until a peak age of 75–90 years and decline thereafter (3–5). Whether cancer mortality declines at very old age remains uncertain. In an international study of 16 countries, cancer mortality peaked and declined with age in 11 countries, while in some countries, cancer mortality increased through the oldest age groups (6).

This study reports the burden of cancer in the oldest old (≥85 years) in Finland for 1953–2017 and provides estimates of age-specific cancer rates in the older population (aged 65–99 years) in 3 recent decades (1988–1997, 1998–2007, and 2008–2017).

METHODS

Data sources

The Finnish Cancer Registry (FCR) registers data on Finnish residents with cancer or selected precancerous lesions. All Finnish residents have a unique personal identity code, which allows for linkage between various data sources and reliable follow-up of cancer patients. The FCR receives notifications from physicians, hospitals, and pathology and hematology laboratories. Based on special legislation, institutions and personnel are obliged to report cancer cases without patient consent. The FCR has high coverage overall and covers at least 96% of solid and 86% of nonsolid tumors diagnosed in Finland in 2009–2013 (7). In 1985–1988, more than 99% of solid tumors were recorded (8). Multiple primary tumors are registered according to coding guidelines presented in the International Classification of Diseases for Oncology, 3rd Edition (9). Extensions, recurrences, or metastases of previously recorded primary cancers are not included as separate cases. The Population Register Centre continuously provides information on the vital status and place of residence of cancer patients. Causes of deaths for cancer patients are received electronically from Statistics Finland once peryear.

The FCR provided nationwide data on all cancer diagnoses, cancer deaths, and other deaths in cancer patients in Finland in 1953–2017. Nonmelanoma skin cancers were excluded from all analyses in the present study. The proportion of registered cancers based on death certificate only was higher at ages ≥85 years (6.8% in 1998–2007 and 6.9% in 2008–2017) than at ages <85 (1.0% and 0.9%, respectively). Similarly, the proportion of cancers of unknown primary site was higher at ages ≥85 years (6.6% in 1998–2007 and 5.0% in 2008–2017) than at ages <85 (2.2% and 1.6%, respectively). Cancer patients were followed from the date of cancer diagnosis until the date of death, date of emigration, or December 31, 2017, whichever came first. Population counts and all-cause mortality rates were obtained from Statistics Finland.

Statistical analysis

Crude numbers and proportions of incident cancers were calculated by age group (0–39, 40–84, ≥85), 5-year calendar period, and sex. Age-standardization of cancer incidence is described in Web Appendix 1 (available at https://doi.org/10.1093/aje/kwaa236). The median and 95th percentile of age at cancer diagnosis, together with 95% confidence intervals, were estimated using quantile regression.

To estimate age-specific cancer incidence and cancer-specific mortality in the older population, incident cancers, cancer deaths, and follow-up time were stratified by age group (in 5-year age groups: 65–69 to 95–99), 10-year calendar period, and sex. Data for the 3 oldest age groups (85–89, 90–94, and 95–99) were scarce before the 1980s, and therefore, period-specific cancer rates were analyzed in the 3 most recent decades. Because cancer-specific mortality is sensitive to misclassification of cause of death, we also studied excess mortality attributable to cancer (referred to as excess cancer mortality). Excess cancer mortality is defined as the excess number of deaths in cancer patients n(uu*) divided by the follow-up time in the total population N, where n is the follow-up time in the cancer population, u is the all-cause mortality rate in the cancer population, and u* is the all-cause mortality rate in the noncancer population (10). To estimate excess cancer mortality, the number of deaths and follow-up time were stratified by 1-year age group, calendar year, and sex. Patients who died on the day of cancer diagnosis were included in the cancer population.

Age-period-cohort models, which allow age, calendar period, and birth cohort to be analyzed as continuous variables, were used to describe the effect of age on cancer incidence (11). Details of the age-period-cohort models are given in Web Appendix 2.

Trends in cancer incidence and cancer-specific mortality in the oldest old were estimated in the 3 most recent study decades (1988–1997, 1998–2007, and 2008–2017). Age-standardization was based on the total follow-up time in each age group (in 1-year age groups from 85 to 99, and ≥100) over the entire 30-year-period (1988–2017). Confidence intervals of the age-standardized rate ratios were based on an approximation described in Jensen et al. (12). Poisson regression models adjusting for age group (85–89, 90–94, 95–99, ≥100) were used to estimate log-linear period trends (rate ratios (RRs) per 10-year increase) in 1988–2017.

Statistical analyses were performed using R, version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria), with packages Epi 2.38, popEpi 0.4.7, and quantreg 5.51.

RESULTS

Age distribution of new cancer cases

A total of 1,144,704 new primary cancers, excluding nonmelanoma skin cancers, were registered in the FCR in 1953–2017. Of these, 73,619 (6.4%) had been diagnosed at ages ≥85 years. Between 1953–1957 and 2013–2017, the proportion of incident cancers diagnosed at age ≥85 years increased from 2.0% to 11% in women (398 to 8,886 in terms of new cases) and from 1.0% to 7.9% in men (199 to 6,474 in terms of new cases) (Table 1). For comparison, the number of cancers diagnosed before age 50 years in 2013–2017 was 9,187 (12%) in women and 5,496 (6.7%) in men. Between the same periods, age-standardized cancer incidence in the oldest old increased 1.5-fold in women (95% confidence interval (CI): 1.4, 1.7) and 2.4-fold in men (95% CI: 2.2, 2.6) (Web Table 1). The median age at cancer diagnosis increased from 62.3 to 68.4 years in women (difference = 6.1 years, 95% CI: 5.8, 6.4) and from 62.4 to 70.1 years in men (difference = 7.7 years, 95% CI: 7.4, 7.9), whereas the 95th percentile increased from 81.7 to 89.1 years in women (difference = 7.4 years, 95% CI: 7.1, 7.7) and from 79.8 to 86.9 years in men (difference = 7.1 years, 95% CI: 6.9, 7.4) (data not shown).

Table 1.

Number of Incident Cancers (Total: 1,144,704 New Primary Cancers)a According to Age (Years), Period, and Sex in Finland, 1953–2017

Women’s Age Groups, years Men’s Age Groups, years
Period 0–39 40–64 65–84 ≥85 0–39 40–64 65–84 ≥85
No. % No. % No. % No. % No. % No. % No. % No. %
1953–1957 1,804 9.1 9,466 47.9 8,109 41.0 398 2.0 1,428 7.2 10,176 51.3 8,034 40.5 199 1.0
1958–1962 1,892 8.6 10,339 46.9 9,285 42.1 530 2.4 1,479 6.5 11,520 50.3 9,562 41.7 345 1.5
1963–1967 1,936 7.9 11,299 46.0 10,599 43.2 726 3.0 1,549 6.0 12,409 48.0 11,431 44.3 440 1.7
1968–1972 1,997 7.3 12,069 43.9 12,496 45.4 953 3.5 1,686 5.7 13,206 44.3 14,346 48.1 597 2.0
1973–1977 2,195 7.0 12,524 40.2 15,155 48.6 1,283 4.1 1,790 5.5 12,736 39.2 17,123 52.8 801 2.5
1978–1982 2,607 7.2 13,385 36.7 18,558 50.9 1,883 5.2 1,974 5.4 12,670 34.9 20,550 56.6 1,108 3.1
1983–1987 2,948 7.1 14,622 35.0 21,275 51.0 2,876 6.9 2,161 5.5 13,471 34.2 22,134 56.2 1,590 4.0
1988–1992 2,992 6.4 17,085 36.5 23,177 49.5 3,536 7.6 2,118 5.1 13,604 32.8 23,704 57.1 2,062 5.0
1993–1997 3,153 6.0 19,709 37.6 24,960 47.6 4,626 8.8 2,143 4.4 14,847 30.2 29,132 59.2 3,083 6.3
1998–2002 3,142 5.5 22,548 39.4 26,221 45.8 5,384 9.4 2,208 3.9 17,526 31.3 32,857 58.6 3,455 6.2
2003–2007 2,998 4.8 25,304 40.5 28,034 44.8 6,210 9.9 2,348 3.5 22,450 33.6 38,289 57.3 3,715 5.6
2008–2012 3,106 4.4 27,575 39.4 31,705 45.3 7,650 10.9 2,523 3.5 23,792 32.9 41,144 56.9 4,809 6.7
2013–2017 3,736 4.8 27,235 34.8 38,473 49.1 8,886 11.3 2,820 3.5 22,328 27.3 50,104 61.3 6,474 7.9

a Proportions are shown for each period andsex.

Age-specific cancer rates in the older population

Age-specific cancer rates in women and men aged 65–99 years in 1988–2017 are shown in Figure 1. Cancer incidence peaked at age 85–94 years in women and age 85–89 years in men and declined thereafter in both sexes. Estimates from age-period-cohort models were consistent with a peak and decline in age-specific cancer incidence regardless of whether the net drift (+1.20% per year in women and +0.79% per year in men) was included in the period or cohort effect (Web Figure 1). Cancer-specific mortality continued to increase through the oldest age groups or possibly plateaued between ages 90–94 and 95–99 years. Excess cancer mortality increased in parallel with cancer-specific mortality until ages 85–89 years but declined after ages 90–94 years in both sexes. With regard to calendar period, cancer-specific mortality and excess cancer mortality declined over time in most of the age groups.

Figure 1.

Figure 1

Age-specific cancer rates in women and men aged 65–99 years in Finland in 1988–2017. Nonmelanoma skin cancers were excluded. A) Cancer incidence in women; B) cancer-specific mortality in women; C) excess cancer mortality in women; D) cancer incidence in men; E) cancer-specific mortality in men; and F) excess cancer mortality inmen.

Cancer incidence and cancer-specific mortality in the oldest old

To examine recent trends in cancer incidence and cancer-specific mortality in the oldest old (≥85), we compared the 2 latest study decades (1998–2007 and 2008–2017; Figure 2). Detailed results for 1988–1997, 1998–2007, and 2008–2017 are shown in Web Tables 2–5. In 1998–2017, the oldest old population in Finland was followed for 2.06 million person-years (women, 1.52 million; men, 0.54 million), during which 46,583 incident cancers and 35,985 cancer deaths were registered. The crude incidence of any cancer at age ≥85 was 3,390 per 100,000 person-years in men and 1,854 per 100,000 person-years in women (age-standardized RR = 1.82, 95% CI: 1.78, 1.86), whereas the crude mortality from any cancer was 2,683 per 100,000 person-years in men and 1,409 per 100,000 person-years in women (age-standardized RR = 1.95, 95% CI: 1.90, 1.99). In women, the age-standardized incidence of any cancer remained constant between 1998–2007 and 2008–2017 (RR = 1.00, 95% CI: 0.98, 1.02), but the absolute number of incident cancers increased from 11,594 to 16,536 (Figure 2). In men, the age-standardized incidence of any cancer decreased (RR = 0.91, 95% CI: 0.89, 0.94), but the absolute number of incident cancers increased from 7,170 to 11,283 (Figure 2). Cancer-specific mortality decreased in both women (RR = 0.95, 95% CI: 0.92, 0.97) and men (RR = 0.91, 95% CI: 0.88, 0.94), but the absolute number of cancer deaths increased from 9,061 to 12,319 in women and from 5,700 to 8,905 in men (Figure 2).

Figure 2.

Figure 2

Trends in cancer incidence and cancer-specific mortality in women and men aged ≥85 years in Finland between 1998–2007 and 2008–2017. The reference period for age-standardized rate ratios (relative risks (RRs)) was 1998–2007. A) Cancer incidence in women; B) cancer-specific mortality in women; C) cancer incidence in men; and D) cancer-specific mortality in men. Shown are the 20 cancer sites with highest incidence (A and C) and highest cancer-specific mortality (B and D). Horizontal bars indicate 95% confidence intervals (CIs).

Age-standardized cancer incidence increased significantly in both sexes for melanoma (RR = 1.45 in women and 1.86 in men); in women for breast (RR = 1.10), lung and trachea (RR = 1.28), and corpus uteri (RR = 1.24); and in men for brain (RR = 1.53) (Figure 2). A significant decrease in the age-standardized cancer incidence was observed in both sexes for stomach (RR = 0.75 in women and 0.62 in men); in women for bladder and urinary tract (RR = 0.88), gallbladder and bile ducts (RR = 0.78), esophagus (RR = 0.73), and cervix uteri (RR = 0.72); and in men for prostate (RR = 0.71) and lip (RR = 0.65) (Figure 2). The cancer-specific mortality rates for these sites changed in the same direction as the incidence rates or showed no significant change. Of the other cancer sites, age-standardized cancer mortality increased significantly for vulva (RR = 1.60) and decreased significantly for colon and rectum in women (RR = 0.92), thyroid gland in women (RR = 0.71), and gallbladder and bile ducts in men (RR = 0.74) (Figure 2). Poisson model-based estimates (age-adjusted RRs per 10-year period increase) for 1988–2017 were largely consistent with the aforementioned trends (Web Tables 2–5).

DISCUSSION

This register-based study of the entire population of Finland in 1953–2017 describes a substantial and increasing burden of new cancers in the oldest old (85 years and older), which is predominantly explained by the demographic changes of population aging and total population growth, but also by an increase in age-standardized cancer incidence especially in the earlier decades. In 2013–2017, nearly 1 in 10 cancers in Finland were diagnosed at age ≥85, which exceeded the number of cancers diagnosed before age 50 years. In 1953–1957, however, the oldest old accounted for only 1.5% of all new cancers. Among the oldest old, the majority of new cancers occurred in women who, in terms of person-time, outnumbered men by 2.8 to 1 in the 2 most recent decades.

Cancer incidence and excess mortality attributable to cancer increased through most of adulthood but declined after a peak age of 85–94 years. Because of limited life expectancy or poor general health, older patients and their physicians might choose to avoid burdensome diagnostic investigations, which could lead to detection bias and underestimation of cancer incidence. On the other hand, advanced age and comorbidities are associated with nonspecific presentations of cancers, which complicates diagnostic evaluation. Indications of diagnostic uncertainty in the oldest old were the relatively high proportions of cancers of unknown primary site and cancers registered by death certificate only (5.6% and 6.8% in the FCR in 1998–2017, respectively). If fatal cancers are less likely to remain undiagnosed than nonfatal cancers, it would be expected that measures of cancer-related mortality are less influenced by detection bias than cancer incidence. In older patients with comorbidities, however, it can be challenging to determine an unambiguous cause of death. In this setting, excess cancer mortality, which is not influenced by misclassification of cause of death, might be a better measure of cancer-related mortality than cancer-specific mortality (10). Excess cancer mortality might be underestimated if 1) noncancer mortality in persons with diagnosed cancer is lower than in those without diagnosed cancer, 2) cancer patients with increased mortality risk are incompletely registered, or 3) missing dates of death or emigration in cancer patients lead to overestimation of follow-up time in the cancer population.

In addition to the methodological limitations, biological factors could contribute to the decline in cancer incidence and excess cancer mortality in those aged 95 years and older—a strongly selected population due to the healthy survivor effect, which might be explained by healthy lifestyle habits and environments, as well as low susceptibility to major diseases such as cancer. It has been suggested that age-related biological processes such as cellular senescence might reduce cancer risk in the very old, but there is only limited evidence of such mechanisms (13).

Global life expectancy has increased from under 30 years in 1800 to 71 years in 2010–2015 (1, 14). Early increases in life expectancy were mainly due to reductions in infant and child mortality, but since the mid-20th century, large gains in life expectancy have also come from reductions in death rates at older ages (15). In Finland between 1951–1955 and 2015–2017, life expectancy increased from 70 to 84 years in women and from 63 to 79 years in men (16). Correspondingly, the proportion of people who reach ages ≥85 years has increased over successive birth cohorts, and therefore the population characteristics of the oldest old might have changed. Cancer incidence in men and women aged ≥85 increased steadily in Finland in 1953–1987. The increase was larger for men than for women. This trend might reflect increased prevalence of risk factors (such as smoking, unhealthy diets, physical inactivity, or obesity) in the oldest old, as well as improved diagnostics.

Cancer rates in the oldest old showed several trends that might have implications for cancer prevention and treatment. Cancers with increasing incidence in the oldest old included lung cancer in women and melanoma in both sexes. Smoking and ultraviolet radiation, the major risk factors for lung cancer and melanoma, respectively, should be considered as preventable causes of cancer in the oldest old. Breast cancer and cancer of the corpus uteri showed increasing incidence in the oldest old women. In postmenopausal women, obesity has been implicated as a risk factor for both breast and endometrial cancer, whereas hormone therapy with progestins is likely to increase the risk of breast cancer and decrease the risk of endometrial cancer (17–19). Vulvar cancer mortality and incidence increased, although only the increase in mortality was statistically significant. Chronic dermatoses such as lichen sclerosus are an important risk factor for vulvar cancer in older women. Also, reactivation of human papillomavirus has been described in older women, but the associated cancer risk is unknown (20). Primary brain tumors, excluding meningeal tumors, showed a recent increase in incidence and mortality in the oldest old among men but not women, a disparity that requires further investigation.

In the next few decades, population aging has been projected to continue at a rapid rate in both developed and developing countries (1). The oldest old are heterogeneous in health status, but many have comorbidities, functional disabilities, cognitive impairment, and poor nutritional status that put them at high risk of complications from cancer and its treatment. For these vulnerable patients, it might be particularly difficult to establish a treatment plan that avoids both undertreatment and overtreatment. To respond to these challenges, we need a sufficient number of trained professionals in geriatric oncology and related specialties (21). Moreover, older patients have been underrepresented in clinical trials, which has led to a relative lack of evidence-based treatment recommendations and uncertainty in extrapolating treatment effects from younger patients (22). Therefore, there is an increasingly urgent need for clinical research that takes into account the current and anticipated age distribution of cancer patients.

The burden of cancer in the oldest old has increased substantially, which is expected to reflect a global trend in the coming decades. This needs to be addressed in the planning of health-care resources and services, education of specialists, design of clinical research, and standard reporting of cancer registries. In older populations with comorbidities and competing risks of death, excess cancer mortality might be a better measure of cancer-related mortality than cancer-specific mortality, which has been more commonly reported in the literature. The decline in cancer incidence and excess cancer mortality after a peak age of 85–94 years might be relevant for research on aging biology, but additional studies are required to determine how much of the decline is due to changes in diagnostics (detection bias) and in the prevalence of risk factors (healthy survivors).

Supplementary Material

Web_Material_kwaa236

ACKNOWLEDGMENTS

Author affiliations: Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland (Tomas Tanskanen, Karri J. M. Seppä, Anni Virtanen, Nea K. Malila, Janne M. Pitkäniemi).

This work was supported by a grant from Cancer Foundation Finland and Academy of Finland (grant 312044 to the Center of Excellence in Tumor Genetics Research).

Conflict of interest: none declared.

REFERENCES

  • 1. United Nations, Department of Economic and Social Affairs, Population Division . World Population Prospects 2019 [custom data acquired via website]. https://population.un.org/wpp/. Accessed March 2, 2020.
  • 2. Engholm G, Ferlay J, Christensen N, et al. NORDCAN—a Nordic tool for cancer information, planning, quality control and research. Acta Oncol. 2010;49(5):725–736. [DOI] [PubMed] [Google Scholar]
  • 3. Pedersen JK, Engholm G, Skytthe A, et al. Cancer and aging: epidemiology and methodological challenges. Acta Oncol. 2016;55(suppl 1):7–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Harding C, Pompei F, Wilson R. Peak and decline in cancer incidence, mortality, and prevalence at old ages. Cancer. 2012;118(5):1371–1386. [DOI] [PubMed] [Google Scholar]
  • 5. DeSantis CE, Miller KD, Dale W, et al. Cancer statistics for adults aged 85 years and older, 2019. CA Cancer J Clin. 2019;69(6):452–467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Liu L, Liu K. Age-specific cancer mortality trends in 16 countries. Int J Public Health. 2016;61(7):751–763. [DOI] [PubMed] [Google Scholar]
  • 7. Leinonen MK, Miettinen J, Heikkinen S, et al. Quality measures of the population-based Finnish Cancer Registry indicate sound data quality for solid malignant tumours. Eur J Cancer. 2017;77:31–39. [DOI] [PubMed] [Google Scholar]
  • 8. Teppo L, Pukkala E, Lehtonen M. Data quality and quality control of a population-based cancer registry. Experience in Finland. Acta Oncol. 1994;33(4):365–369. [DOI] [PubMed] [Google Scholar]
  • 9. Fritz A, Percy C, Jack A, et al. International Classification of Diseases for Oncology. 3rd ed. Geneva, Switzerland: World Health Organization; 2013. [Google Scholar]
  • 10. Lenner P. The excess mortality rate. A useful concept in cancer epidemiology. Acta Oncol. 1990;29(5):573–576. [DOI] [PubMed] [Google Scholar]
  • 11. Carstensen B. Age–period–cohort models for the Lexis diagram. Stat Med. 2007;26(15):3018–3045. [DOI] [PubMed] [Google Scholar]
  • 12. Jensen O, Parkin D, MacLennan R, et al. Cancer Registration: Principles and Methods. Lyon, France: International Agency for Research on Cancer; 1991. [Google Scholar]
  • 13. Falandry C, Bonnefoy M, Freyer G, et al. Biology of cancer and aging: a complex association with cellular senescence. J Clin Oncol Off J Am Soc Clin Oncol. 2014;32(24):2604–2610. [DOI] [PubMed] [Google Scholar]
  • 14. Riley JC. Estimates of regional and global life expectancy, 1800–2001. Popul Dev Rev. 2005;31(3):537–543. [Google Scholar]
  • 15. Oeppen J, Vaupel JW. Broken limits to life expectancy. Science. 2002;296(5570):1029–1031. [DOI] [PubMed] [Google Scholar]
  • 16. Official Statistics of Finland (OSF) : Deaths. Appendix table 1. Life expectancy at birth by region in the period 2015 to 2017. https://www.stat.fi/til/kuol/2017/01/kuol_2017_01_2018-10-26_tau_001_en.html. Accessed August 5, 2020.
  • 17. Rossouw JE, Anderson GL, Prentice RL, et al. Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women’s Health Initiative randomized controlled trial. JAMA. 2002;288(3):321–333. [DOI] [PubMed] [Google Scholar]
  • 18. Setiawan VW, Yang HP, Pike MC, et al. Type I and II endometrial cancers: have they different risk factors? J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(20):2607–2618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Lauby-Secretan B, Scoccianti C, Loomis D, et al. Body fatness and cancer—viewpoint of the IARC Working Group. N Engl J Med. 2016;375(8):794–798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Rositch AF, Burke AE, Viscidi RP, et al. Contributions of recent and past sexual partnerships on incident human papillomavirus detection: acquisition and reactivation in older women. Cancer Res. 2012;72(23):6183–6190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Magnuson A, Dale W, Mohile S. Models of care in geriatric oncology. Curr Geriatr Rep. 2014;3(3):182–189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Hurria A, Dale W, Mooney M, et al. Designing therapeutic clinical trials for older and frail adults with cancer: U13 conference recommendations. J Clin Oncol Off J Am Soc Clin Oncol. 2014;32(24):2587–2594. [DOI] [PMC free article] [PubMed] [Google Scholar]

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