search for


Secondary Primary Prostate Cancer after Colorectal Cancer: A Nationwide Population-based Cohort Study in Korea
Journal of Cancer Prevention 2017;22:241-7
Published online December 30, 2017
© 2017 Korean Society of Cancer Prevention.

Hyun Soo Kim1,*, Yoon Jin Choi1,*, Dong Woo Shin1, Kyung-Do Han2, Hyuk Yoon1, Cheol Min Shin1, Young Soo Park1, Nayoung Kim1,3, and Dong Ho Lee1,3

1Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea, 2Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea, 3Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
Correspondence to: Dong Ho Lee, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 13520, Korea Tel: +82-31-787-7009, Fax: +82-31-787-4051, E-mail:, ORCID: Dong Ho Lee,
Received November 30, 2017; Revised December 15, 2017; Accepted December 15, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Colorectal cancer (CRC) and prostate cancer frequently occur in developed countries. There are several reports on the association between CRC and prostate cancer; however, the conclusions are inconsistent to investigate the association of the development of secondary primary prostate cancer among patients with prior primary CRC using a nationwide population-based dataset.


Patients registered in the Republic of Korea National Health Insurance System database who were diagnosed with CRC between 2007 and 2012 were followed-up until the end of 2015, and we investigated the new diagnosis secondary primary prostate cancer. We compared the incidence of prostate cancer in age-matched controls using the Cox proportional hazards models.


We analyzed a total of 85,455 first primary CRC survivors. During the follow-up period of 494,222 person-years, 2,005 patients (2.30%) developed secondary primary prostate cancer (incidence rate 4.06/1,000 person-years). The median duration of follow-up was 5.78 years. Compared with the general population, CRC patients had a significantly increased risk of secondary primary prostate cancer (HR = 2.30, 95% CI = 2.18–2.43; P < 0.001). Multivariate analysis (including age, sex, body mass index, hypertension, diabetes mellitus, dyslipidemia, and income) showed that age < 55 years (HR = 20.74, 95% CI = 11.81–36.41; P < 0.001) is a significant independent predictor of secondary primary prostate cancer development.


Men diagnosed with colorectal cancer are at an increased risk of secondary primary prostate cancer, particularly those aged < 55 years. The data suggests that colorectal cancer patients aged < 55 years require regular screening for prostate cancer.

Keywords : Colorectal neoplasm, Prostatic neoplasm, Second primary neoplasms

Cancer is the second leading cause of death worldwide after cardiovascular diseases. Among all cancers, colorectal cancer (CRC) is the third most common malignancy in men and the second most common malignancy in women worldwide. In 2015, 1.7 million incidences of CRC occurred globally, and the resultant 832,000 patients died.1,2 Due to the improved survival rates resulting from early diagnosis and improved treatment, the survival of cancer patients has increased, and this trend will continue.3 Therefore, late outcomes of CRC survivors resulting in complications, such as increased risk of second primary malignancies (SPMs), has become an important issue.4 Prostate cancer, the most common cancer diagnosis, is the third leading cause of death in men, with more than 1.6 million new cases in 2015.1,5 Recently, increasing evidence supports the hypothesis that metabolic syndrome is involved in the development and progression of certain types of malignancies;6 thus, it can be inferred that CRC may share common risk factors for several metabolic syndrome-related cancers, including prostate cancer. The prevalence of CRC and prostate cancer in Asian countries has increased, and this may be due to the adoption of a westernized lifestyle, and subsequently increasing incidence of metabolic syndrome.7

Although some studies have reported the occurrence of secondary primary prostate cancer (SPPC) after CRC, the results are inconsistent.2 Furthermore, some clinicians have demonstrated a high incidence of SPPC in CRC patients, but others have not confirmed any such results.811 Thus, knowledge of the incidence of SPPC in CRC survivors is necessary for an effective surveillance program as well as to direct attention to organs vulnerable to secondary malignancies.12 Using this background, we analyzed the cohort data from the National Health Insurance System (NHIS) in Korea, to investigate the association of the development of SPPC among patients with prior primary CRC.


1. Data source

We analyzed data from the NHIS database, registration for which is mandatory for all Koreans. NHIS is responsible for the national health checkup programs, which include a general health examination for all insured employees or self-employed persons aged > 40 years. NHIS recommends a semi-compulsive health checkup to be undertaken at least biennially. The NHIS database includes an eligibility database (age, sex, socioeconomic variables, type of eligibility, and income level), a medical treatment database (based on the medical records by International Statistical Classification of Diseases and Related Health Problems (ICD) codes that were claimed by medical service providers for their medical expense claims), a health examination database (results of general health examinations and questionnaires on lifestyle and behavior), and a medical care institution database (types of medical care institutions, location, equipment, and number of physicians).1315 Since the study involved routinely collected data, obtaining informed consent was not required. All procedures involving human participants were performed in accordance with the ethical standards of the institutional and national research committees, and 1964 Helsinki declaration including its later amendments or comparable ethical standards. The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (X-1708-417-905).

2. Study population

The incidences of SPPC among men diagnosed with CRC (ICD-10 codes C18, C19, and C20) were compared with those of randomly selected controls. The control group, from the general population, was matched to CRC patients, according to age at a 1 : 5 ratio. The primary outcome was the diagnosis of SPPC (ICD-10 codes C61) after a diagnosis of CRC. To exclude the possibility of synchronous or metastatic CRC, patients with a diagnosis of a prostate cancer within a latency period of 1 year after CRC diagnosis were excluded. This cohort was followed-up from January 1, 2007 until December 31, 2015, to identify the development SPPC.

In addition, people previously diagnosed with cancer other than CRC were excluded. Information about the date of diagnosis of previous CRC, latency period, yearly income, and comorbidities (diabetes mellitus, hypertension, and dyslipidemia) was extracted from the database. Finally we enrolled a total of 85,455 CRC patients. We performed additional subgroup analysis for people (n = who had health checkups within 1 year before CRC diagnosis). In this analysis, body mass index (BMI), alcohol consumption, exercise, and smoking were included as confounding factors in addition to age, sex, income and residence, diabetes mellitus, hypertension, and dyslipidemia. This is summarized in Figure 1.

3. Definitions

Diabetes mellitus was defined as fasting blood glucose ≥ 126 mg/dL, 2-hour plasma glucose ≥ 200 mg/dL during an oral glucose tolerance test, or use of antidiabetic medications.16 Hypertension was defined as systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or use of antihypertensive drugs.17 Dyslipidemia was defined as any one of the following: total cholesterol ≥ 240 mg/dL, triglyceride ≥ 150 mg/dL, low-density lipoprotein cholesterol ≥140 mg/dL, high-density lipoprotein cholesterol < 40 mg/dL, or use of lipid-l owering drugs.18 Income < 20% of the mean value of the total population was classified as low household income. Residential areas were divided into two groups (urban or rural), with urban areas defined as metropolitan cities with a population of > 1 million. The smoking group included ex-smokers and current smokers, and was defined as patients who smoked at least five pack years of cigarettes in their whole lives. Alcohol consumption status was categorized as nondrinkers and alcohol drinkers, and was defined as those who drank alcohol at least once a week.

Regular exercise was defined as physical activity more than three times a week for more than 20 minutes. BMI was calculated by dividing body weight by the square of the persons height, with overweight defined as BMI >23 kg/m2 and obesity as BMI >

25 kg/m2. Blood samples were collected after a fasting period of at least 8 hours.

4. Statistical analysis

Propensity score matching was used to generate the control group. Continuous variables with a normal distribution were analyzed using the Student’s t-test. HRs and 95% CIs were calculated via statistical analysis using the Cox regression models after controlling for age, sex, BMI, smoking, alcohol consumption, exercise, diabetes mellitus, hypertension, dyslipidemia, and income. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA) and R version 3.2.3 (The R Foundation for Statistical Computing, Vienna, Austria; A two-sided P-value of < 0.05 was considered to be statistically significant.


1. Demographics

We analyzed 430,494 men without CRC and 110,289 healthy males who were registered in the NHIS database between 2007 and 2012. After excluding individuals who were diagnosed with a previous malignancy within 1 year of CRC, 85,455 male CRC patients and age-matched 430,494 control subjects were finally included in the analysis (Fig. 1). The basic demographics of this cohort are presented in Table 1. In the CRC group, the proportions of diabetes mellitus, hypertension, and dyslipidemia (all P < 0.0001) were significantly higher than those in the control group. Subjects whose yearly income was in the bottom 20% among the total population, were significantly less common in the CRC group than general population. The proportion of residents in urban areas was significantly higher in the CRC group than general population.

2. Risk for development of secondary primary prostate cancers in colorectal cancer patients

During the median follow-up period of 5.78 years, 2,005 patients (2.30%) developed SPPC in the CRC group, while 4,415 subjects with prostate cancer (1.03%) were confirmed in the control group. The Cox regression model was used to predict the potential risk factors for SPPC. The incidence rate (IR) of SPPC among CRC patients was 4.06/1,000 person-years and HR was 2.30 (95% CI, 2.18–2.43); HR was higher in subjects aged < 55 years than those aged ≥ 55 years (HR, 8.95; 95% CI, 7.33–10.92) (Table 2).

The cumulative incidence of prostate cancer in each group over time is presented in Figure 2. The cumulative incidence of SPPC among CRC patients was 0.2% at 5 years after diagnosis. The cumulative incidence of SPPC in CRC patients was continuously higher than that in the general population, representing 0.05% at 5 years after the diagnosis of CRC (IR 4.06 vs. 1.76/1,000 person-years, respectively).

3. Subgroup analysis

Among CRC patients who underwent health checkups within 1 year before CRC diagnosis, 21,823 patients were matched to 110,289 subjects in the control group using the health checkup data according to age at a 1 : 5 ratio. The basic demographics are presented in Table 3. Individuals with diabetes mellitus, hypertension, and dyslipidemia (all P < 0.0001) were significantly more common in the CRC group than in the control group. Current smoking, alcohol consumption, and BMI were not significantly different between both groups. We identified IR and HR of prostate cancer after adjusting for confounders. Multivariate analysis demonstrated that CRC patients remained significantly independent predictors of SPPC development (IR 4.56/1,000 person-years, HR 2.90; 95% CI, 2.58–3.27) (Table 2). In this subgroup analysis, younger CRC patients, particularly those diagnosed at < 55 years of age were significantly associated with a higher risk of SPPC (HR, 20.74; 95% CI, 11.81–36.41). Table 4 demonstrates that the association between development of SPPC and CRC is higher in younger patients who are diagnosed with CRC.


In the present nationwide population-based cohort study, we demonstrated that the incidence of SPPC is higher in CRC patients than in individuals without previous malignancies. This risk was particularly higher in men aged < 55 years than in others.

There are several reports on SPMs among CRC survivors; however, only a few studies exist on the development of SPPC in CRC patients. Evans et al.2 demonstrated that CRC patients aged <60 years are at risk of SPMs in other sites. Phipps et al.19 reported a slightly increased risk of secondary non-CRC using the Surveillance, Epidemiology, and End Results (SEER) registries with a standardized incidence ratio (SIR) of 1.24. Ahmed et al.20 studied the excess risk of subsequent primary cancers among CRC survivors. They used SEER and reported the significantly elevated SIR of 26.48 in only black males. Moot et al.21 investigated the relationship between CRC and SPPC. They showed that men who develop CRC are at an increased risk of SPPC (SIR at follow-up period: < 1 year, 1.7; 1–5 years, 1.3; 5–10 years, 1.4), with the highest risk in men aged < 65 years. Furthermore, Lee et al.4 reported that the risk of SPPC was 1.2 times higher in CRC patients than general population.

The mechanism of the increased risk for SPPC in patients has not yet been proved. Several etiologies, including existing background, lifestyle, comorbidities, and environmental components are related to the development of SPPC. For example, hereditary nonpolyposis CRC patients tend to develop other extracolonic malignancies more than the general population.22 In addition, there may be unknown shared etiological factors that are involved in the link between the CRC and SPPC.2325 SPPC development may also be related to daily lifestyle factors, such as saturated fat intake, which has been implicated in both CRC and prostate cancer.2628 In addition, the treatment of CRC can cause the development of SPMs. For example, chemotherapy and radiation are related to SPMs; however, the exact mechanism is not yet proved.29,30

Another explanation is that the increased incidence of SPPC may result from a screening detection bias, which has been suggested.31 Men previously diagnosed with CRC can be followed-up more closely than those without any previous malignancies, including frequent digital rectal examinations. Given that CRC survivors were twice as risky as the general population without previous malignancies, and that this risk was higher in young patients, the importance of screening or surveillance is raised. However, there is considerable doubt whether physicians will be able to identify a curable lesion localized to the prostate gland. Although it is uncertain whether blood tests using prostate-specific antigens are effective for screening CRC survivors,3234 our results suggest that further studies are required to determine the link between CRC and SPPC, as well as strategies for prevention.

The present study had several limitations. First, we did not classify CRC patients according to treatment based on the stage of the disease, making it impossible to assess the correlation between disease severity, treatment modality, and incidence of SPPC. Second, the development of prostate cancer is time demanding; therefore, a longer follow-up period would have yielded a remarkable result. Finally, in addition to the BMI, smoking, alcohol consumption, exercise, hypertension, and diabetes mellitus, there are many other related factors between CRC and SPPC, such as lifestyle, eating habits, family history etc. In this point of view, bias exists and it is worth mentioning as a limitation. There are some advantages of this study. This is a population-based nationwide study using the NHIS database. This database records the claims information of approximately 97% of all Koreans. Therefore, it represents almost the entire Korean population. Because all patients registered for cancer require a confirmation by biopsy, the record of the diagnosis of cancer is reliable. In addition, we analyzed health checkup data for the first time. Using the health checkup claim data, we adjusted for potential confounding factors (BMI, diabetes mellitus, dyslipidemia, smoking, and alcohol consumption) that could affect the progression to prostate cancer.

In conclusion, this nationwide population-based study suggests that CRC patients are at an increased risk of SPPC, especially young patients aged <55 years. Early detection of prostate cancer, which has an elevated likelihood of occurring in CRC patients, is important. Therefore, as next steps, we suggest implementation of proper screening techniques for prostate cancer and investigating the possible shared etiologies and mechanisms of carcinogenesis.


This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through (High Value-added Food Technology Development Program), funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (No. 116017032HD030).

Fig. 1. CONSORT flow diagram of patient recruitment. CRC, colorectal cancer; NHIS, National Health Insurance System; SPPC, secondary primary prostate cancer.
Fig. 2. Cumulative incidence of prostate cancer in colorectal cancer (CRC) patients and general population.

Baseline characteristics of the study population

VariableHealthy populationCRC patientP-value
Sex (male)430,494 (100)85,455 (100)
 < 55 yr105,383 (24.48)20,953 (24.52)< 0.0001
 ≥ 55 yr325,111 (75.52)64,502 (75.48)< 0.0001
Low household incomea101,518 (23.58)19,066 (22.31)< 0.0001
Urban residentsb194,175 (45.11)39,676 (46.43)< 0.0001
Diabetes mellitus59,992 (13.94)16,692 (19.53)< 0.0001
Hypertension147,766 (34.32)34,639 (40.53)< 0.0001
Dyslipidemia63,824 (14.83)13,548 (15.85)< 0.0001
Development of prostate cancer4,415 (1.03)2,005 (2.35)< 0.0001

Values are presented as number (%). CRC, colorectal cancer.

aThe low household income refers to those who are in the bottom 20% of the total population.

bUrban residents refer to people living in metropolitan areas with a population of over 1 million.

IR and HR for development of secondary prostate cancer after adjustment for confounding factors

PopulationDevelopment of PCDurationaIRbHR (95% CI)

TotalAge < 55 yrAge ≥55 yr
Total population
 Control group (n = 430,494)4,4152,506,3151.761 (ref)1 (ref)1 (ref)
 CRC patients (n = 85,455)2,005494,1914.062.30c (2.18–2.43)8.95c (7.33–10.92)2.07c (1.96–2.19)
P-value< 0.0001< 0.0001< 0.0001
Subgroup analysis
 Control group (n = 110,289)4,415490,6431.581 (ref)1 (ref)1 (ref)
 CRC patients (n = 21,823)44196,6924.562.90d (2.58–3.27)20.74d (11.81–36.41)2.55d (2.25–2.88)
P-value< 0.0001< 0.0001< 0.0001

IR, incidence rate; PC, prostate cancer; ref, reference value; CRC, colorectal cancer.

aThe unit of duration is person-year.

bIR means the number of prostate cancer patients per 1,000 people-years.

cAdjusted by age.

dAdjusted for age, sex, body mass index, drink, exercise, income, diabetes mellitus, hypertension, dyslipidemia.

General characteristics of the study population (health checkup)

VariableHealthy population (n=110,289)CRC patient (n=21,823)P-value
Sex (male)110,289 (100)21,823 (100)
 < 55 yr27,046 (24.52)5,452 (24.98)
 ≥ 55 yr83,243 (75.48)16,371 (75.02)
 < 18.5 kg/m26,375 (5.78)1,337 (6.13)
 18.5–23 kg/m246,074 (41.78)9,110 (41.74)
 23–25 kg/m223,687 (21.48)4,656 (21.34)
 25–30 kg/m229,064 (26.35)5,689 (26.07)
 25–30 kg/m25,089 (4.61)1,031 (4.72)
Ever smoker (yes)a39,979 (36.25)7,989 (36.61)0.3138
Drinking alcohol >1/wk (yes)46,298 (41.98)9,277 (42.51)0.1463
Regular exercise (yes)b22,578 (20.47)4,379 (20.07)0.1742
Diabetes mellitus23,353 (21.17)5,669 (25.98)< 0.0001
Hypertension50,395 (45.69)11,042 (50.60)< 0.0001
Dyslipidemia28,464 (25.81)5,849 (26.80)0.0022
Development of prostate cancer773 (0.7)441 (2.02)< 0.0001
Height (cm)161.4 ± 9.4161.5 ± 9.40.1185
Weight (kg)61.5 ± 11.661.5 ± 11.80.8463
BMI (kg/m2)23.5 ± 3.623.5 ± 3.60.3341
SBP (mmHg)122 ± 15.9122.1 ± 15.90.8874
DBP (mmHg)75.9 ± 10.375.9 ± 10.30.9944
TC (mg/dL)191.2 ± 38.4191 ± 38.70.5146

Values are presented as number (%) or mean ± SD. The subjects of this analysis are those who have health check-up data before the diagnosis of colorectal cancer. CRC, colorectal cancer; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol.

aEver smoker is a person who has smoked at least five packs of cigarettes in their lives with the sum of ex-smoker and current smoker.

bRegular exercise refers to a person exercising at least three times a week.

Incidence rate of SPPC by age according to CRC

Age (yr)GroupNumberDevelopment of SPPCDurationaIRbHR (95% CI)
< 60sControl group163,927431953,860.870.451851 (ref)
CRC patients32,603502188,512.342.662965.922 (5.207–6.736)
60sControl group138,3391720815,065.912.110262.467 (2.15–2.83)
CRC patients27,404764160,157.544.77035.581 (4.817–6.466)
70sControl group103,8081950598,340.563.259012.439 (2.029–2.933)
CRC patients20,586642117,938.965.443494.081 (3.358–4.96)
80sControl group24,420314139,048.392.258211.044 (0.8–1.363)
CRC patients4,8629727,583.043.516651.625 (1.188–2.223)

These results are obtained by health checkup data. SPPC, secondary primary prostate cancer; CRC, colorectal cancer; IR, incidence rate; ref, reference value.

aThe unit of duration is person-year.

bIR means the number of prostate cancer patients per 1,000 people-years.

  1. Fitzmaurice, C, Allen, C, Barber, RM, Barregard, L, Bhutta, ZA, Brenner, H, and Global Burden of Disease Cancer Collaboration (2017). Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: a systematic analysis for the global burden of disease study. JAMA Oncol. 3, 524-48.
  2. Evans, HS, M첩ller, H, Robinson, D, Lewis, CM, Bell, CM, and Hodgson, SV (2002). The risk of subsequent primary cancers after colorectal cancer in southeast England. Gut. 50, 647-52.
    Pubmed KoreaMed CrossRef
  3. Mariotto, AB, Rowland, JH, Ries, LA, Scoppa, S, and Feuer, EJ (2007). Multiple cancer prevalence: a growing challenge in long-term survivorship. Cancer Epidemiol Biomarkers Prev. 16, 566-71.
    Pubmed CrossRef
  4. Lee, YT, Liu, CJ, Hu, YW, Teng, CJ, Tzeng, CH, and Yeh, CM (2015). Incidence of second primary malignancies following colorectal cancer: a distinct pattern of occurrence between colon and rectal cancers and association of co-morbidity with second primary malignancies in a population-based cohort of 98,876 patients in Taiwan. Medicine (Baltimore). 94, e1079.
  5. Litwin, MS, and Tan, HJ (2017). The diagnosis and treatment of prostate cancer: a review. JAMA. 317, 2532-42.
    Pubmed CrossRef
  6. Esposito, K, Chiodini, P, Colao, A, Lenzi, A, and Giugliano, D (2012). Metabolic syndrome and risk of cancer: a systematic review and meta-analysis. Diabetes Care. 35, 2402-11.
    Pubmed KoreaMed CrossRef
  7. Esposito, K, Chiodini, P, Capuano, A, Bellastella, G, Maiorino, MI, and Parretta, E (2013). Effect of metabolic syndrome and its components on prostate cancer risk: meta-analysis. J Endocrinol Invest. 36, 132-9.
    Pubmed CrossRef
  8. Teppo, L, Pukkala, E, and Sax챕n, E (1985). Multiple cancer: an epidemiologic exercise in Finland. J Natl Cancer Inst. 75, 207-17.
  9. (1985). Multiple primary cancers in Connecticut and Denmark. Natl Cancer Inst Monogr. 68, 1-437.
  10. Enblad, P, Adami, HO, Glimelius, B, Krusemo, U, and P책hlman, L (1990). The risk of subsequent primary malignant diseases after cancers of the colon and rectum. A nationwide cohort study. Cancer. 65, 2091-100.
    Pubmed CrossRef
  11. McCredie, M, Macfarlane, GJ, Bell, J, and Coates, M (1997). Second primary cancers after cancers of the colon and rectum in New South Wales, Australia, 19721991. Cancer Epidemiol Biomarkers Prev. 6, 155-60.
  12. Cluze, C, Delafosse, P, Seigneurin, A, and Colonna, M (2009). Incidence of second cancer within 5 years of diagnosis of a breast, prostate or colorectal cancer: a population-based study. Eur J Cancer Prev. 18, 343-8.
    Pubmed CrossRef
  13. Hamer, M, and Stamatakis, E (2012). Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality. J Clin Endocrinol Metab. 97, 2482-8.
    Pubmed KoreaMed CrossRef
  14. Ortega, FB, Lee, DC, Katzmarzyk, PT, Ruiz, JR, Sui, X, and Church, TS (2013). The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness. Eur Heart J. 34, 389-97.
    KoreaMed CrossRef
  15. Song, SO, Jung, CH, Song, YD, Park, CY, Kwon, HS, and Cha, BS (2014). Background and data configuration process of a nationwide population-based study using the Korean National Health Insurance System. Diabetes Metab J. 38, 395-403.
    Pubmed KoreaMed CrossRef
  16. American Diabetes Association (2010). Diagnosis and classification of diabetes mellitus. Diabetes Care. 33, S62-9.
    Pubmed KoreaMed CrossRef
  17. James, PA, Oparil, S, Carter, BL, Cushman, WC, Dennison-Himmelfarb, C, and Handler, J (2014). 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 311, 507-20.
  18. Teramoto, T, Sasaki, J, Ueshima, H, Egusa, G, Kinoshita, M, and Shimamoto, K (2007). Diagnostic criteria for dyslipidemia. Executive summary of Japan Atherosclerosis Society (JAS) guideline for diagnosis and prevention of atherosclerotic cardiovascular diseases for Japanese. J Atheroscler Thromb. 14, 155-8.
    Pubmed CrossRef
  19. Phipps, AI, Chan, AT, and Ogino, S (2013). Anatomic subsite of primary colorectal cancer and subsequent risk and distribution of second cancers. Cancer. 119, 3140-7.
    Pubmed KoreaMed CrossRef
  20. Ahmed, F, Goodman, MT, Kosary, C, Ruiz, B, Wu, XC, and Chen, VW (2006). Excess risk of subsequent primary cancers among colorectal carcinoma survivors, 19752001. Cancer. 107, 1162-71.
    Pubmed CrossRef
  21. Moot, AR, Polglase, A, Giles, GG, Garson, OM, Thursfield, V, and Gunter, D (2003). Men with colorectal cancer are predisposed to prostate cancer. ANZ J Surg. 73, 289-93.
    Pubmed CrossRef
  22. Zauber, AG, Winawer, SJ, O섳rien, MJ, Lansdorp-Vogelaar, I, van Ballegooijen, M, and Hankey, BF (2012). Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 366, 687-96.
    Pubmed KoreaMed CrossRef
  23. Bookstein, R, Bova, GS, MacGrogan, D, Levy, A, and Isaacs, WB (1997). Tumour-suppressor genes in prostatic oncogenesis: a positional approach. Br J Urol. 79, 28-36.
    Pubmed CrossRef
  24. MacGrogan, D, Pegram, M, Slamon, D, and Bookstein, R (1997). Comparative mutational analysis of DPC4 (Smad4) in prostatic and colorectal carcinomas. Oncogene. 15, 1111-4.
    Pubmed CrossRef
  25. Bookstein, R (1994). Tumor suppressor genes in prostatic oncogenesis. J Cell Biochem Suppl. 19, 217-23.
  26. Whittemore, AS, Kolonel, LN, Wu, AH, John, EM, Gallagher, RP, and Howe, GR (1995). Prostate cancer in relation to diet, physical activity, and body size in blacks, whites, and Asians in the United States and Canada. J Natl Cancer Inst. 87, 652-61.
    Pubmed CrossRef
  27. Kolonel, LN, Nomura, AM, and Cooney, RV (1999). Dietary fat and prostate cancer: current status. J Natl Cancer Inst. 91, 414-28.
    Pubmed CrossRef
  28. Glade, MJ (1999). Food, nutrition, and the prevention of cancer: a global perspective. American Institute for Cancer Research/World Cancer Research Fund, American Institute for Cancer Research, 1997. Nutrition. 15, 523-6.
  29. Reulen, RC, Frobisher, C, Winter, DL, Kelly, J, Lancashire, ER, and Stiller, CA (2011). Long-term risks of subsequent primary neoplasms among survivors of childhood cancer. JAMA. 305, 2311-9.
    Pubmed CrossRef
  30. Berrington de Gonzalez, A, Curtis, RE, Kry, SF, Gilbert, E, Lamart, S, and Berg, CD (2011). Proportion of second cancers attributable to radiotherapy treatment in adults: a cohort study in the US SEER cancer registries. Lancet Oncol. 12, 353-60.
    Pubmed KoreaMed CrossRef
  31. Hoar, SK, Wilson, J, Blot, WJ, McLaughlin, JK, Winn, DM, and Kantor, AF (1985). Second cancer following cancer of the digestive system in Connecticut, 193582. Natl Cancer Inst Monogr. 68, 49-82.
  32. Meyer, F, Moore, L, Bairati, I, and Fradet, Y (1999). Downward trend in prostate cancer mortality in Quebec and Canada. J Urol. 161, 1189-91.
    Pubmed CrossRef
  33. Burack, RC, and Wood, DP (1999). Screening for prostate cancer. The challenge of promoting informed decision making in the absence of definitive evidence of effectiveness. Med Clin North Am. 83, 1423-42.
    Pubmed CrossRef
  34. Oliver, SE, May, MT, and Gunnell, D (2001). International trends in prostate-cancer mortality in the 쏱SA ERA. Int J Cancer. 92, 893-8.
    Pubmed CrossRef

December 2017, 22 (4)
Full Text(PDF) Free

Social Network Service

Cited By Articles
  • CrossRef (0)