Background: Circulating total cholesterol has been inversely associated with cancer risk; however, the role of reverse causation and the associations for high-density lipoprotein (HDL) cholesterol have not been fully characterized. We examined the relationship between serum total and HDL cholesterol and risk of overall and site-specific cancers among 29,093 men in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study cohort.

Methods: Fasting serum total and HDL cholesterol were assayed at baseline, and 7,545 incident cancers were identified during up to 18 years of follow-up. Multivariable proportional hazards models were conducted to estimate relative risks (RR).

Results: Higher serum total cholesterol concentration was associated with decreased risk of cancer overall (RR for comparing high versus low quintile, 0.85; 95% confidence interval, 0.79-0.91; P trend <0.001; >276.7 versus <203.9 mg/dL), and the inverse association was particularly evident for cancers of the lung and liver. These associations were no longer significant, however, when cases diagnosed during the first 9 years of follow-up were excluded. Greater HDL cholesterol was also associated with decreased risk of cancer (RR for high versus low quintile, 0.89; 95% confidence interval, 0.83-0.97; P trend = 0.01; >55.3 versus <36.2 mg/dL). The inverse association of HDL cholesterol was evident for cancers of lung, prostate, liver, and the hematopoietic system, and the associations of HDL cholesterol with liver and lung cancers remained after excluding cases diagnosed within 12 years of study entry.

Conclusion: Our findings suggest that prior observations regarding serum total cholesterol and cancer are largely explained by reverse causation. Although chance and reverse causation may explain some of the inverse HDL associations, we cannot rule out some etiologic role for this lipid fraction. (Cancer Epidemiol Biomarkers Prev 2009;18(11):2814–21)

Population-based studies have reported that greater circulating total cholesterol concentration is associated with decreased cancer mortality (1-11) and incidence (10, 12-14). However, it is unclear whether the observed association is causal or due to an effect of preclinical disease on serum levels (i.e., through metabolic depression or increased utilization of cholesterol during carcinogenesis; ref. 15). One prospective study showed that the cholesterol-cancer association was present for serum determinations made 6 or more years before the diagnosis of cancer (16). By contrast, another study observed an inverse total cholesterol-cancer mortality relationship that weakened with longer follow-up, although it did not disappear completely (11), and they (11) and others (17) reported that total cholesterol concentrations decreased ∼5 years before cancer death and 2 years before cancer diagnosis, respectively.

High-density lipoprotein (HDL) cholesterol could play a role in carcinogenesis through its influence on cell cycle entry, via a mitogen-activated protein kinase–dependent pathway (18), or regulation of apoptosis (19). We previously observed that greater circulating HDL cholesterol concentration was associated with decreased risk of non–Hodgkin lymphoma and that the inverse association was strongest during the first 4 to 6 years of follow-up (20), indicating that low concentration may serve as a marker of lymphoma. Other prospective studies reported inverse associations of HDL cholesterol with risks of breast cancer (21, 22) and lung cancer (23). Whether the observed inverse associations are causal or due to preclinical effects of malignancies remain unclear, however, and little is known regarding whether HDL cholesterol is associated with risk of other cancers or cancer overall.

In the present study, we prospectively examine the associations of serum total and HDL cholesterol with site-specific and overall cancer incidence among 29,093 male Finnish smokers in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study cohort.

Study Population

The ATBC Study was a placebo-controlled, double-blinded primary prevention trial with a 2 × 2 factorial design that tested the hypothesis of whether α-tocopherol or β-carotene supplementation would reduce the incidence of lung or other cancers in male smokers. Study rationale, design, and methods have been previously described (24). Between 1985 and 1988, 29,133 eligible men ages 50 to 69 years in southwestern Finland who smoked at least five cigarettes per day were randomized to receive supplements (50 mg/d of α-tocopheryl acetate, 20 mg/d of β-carotene, or both) or a placebo. Exclusion criteria included history of cancer other than nonmelanoma skin cancer or carcinoma in situ; severe angina pectoris; chronic renal insufficiency; liver cirrhosis; chronic alcoholism; anticoagulant therapy; other medical problems that might have limited long-term participation; or current use of vitamin E (>20 mg/d), vitamin A (>20,000 IU/d), or β-carotene (>6 mg/d) supplements. After further excluding men with missing values of total cholesterol or HDL cholesterol (n = 40), the analytic cohort included 29,093 men. The trial ended on April 30, 1993, and follow-up continued after randomization for the present study until diagnosis, death, or through March 31, 2003. The ATBC Study was approved by the institutional review boards of both the U.S. National Cancer Institute and the Finnish National Public Health Institute. All study participants provided written informed consent before the study initiation.

Cohort Follow-up and Identification of Cases

Incident cancer cases (n = 7,545) were ascertained between April 1985 and March 31, 2003, by linkage of the cohort participants to the Finnish Cancer Registry, which provides ∼100% cancer diagnosis for nationwide coverage (25). The medical records of all potential cancer cases diagnosed during the active ATBC Study trial and early postintervention period through April 1999 were collected from the hospitals and pathology laboratories and reviewed by one or two study physicians. In addition, one or two study pathologists reviewed the histopathologic and cytologic specimens for these cancers. For cases diagnosed during the later passive follow-up period (i.e., May 1999-March 2003), case ascertainment has been provided by the Finnish Cancer Registry. In this report, we include results for cancers of lung, prostate, bladder, colorectum (excluding cancers of anal canal), stomach, kidney, pancreas (excluding endocrine tumors), hematopoietic system, larynx, liver, brain, melanoma, esophagus, and other cancers combined. In situ/benign cases were excluded.

Baseline Data Collection

During the baseline study visit, the men completed questionnaires regarding general characteristics and medical, smoking, and dietary histories. Diet was assessed using a 276-item food frequency questionnaire that queried frequency and portion size of food items consumed during the previous year (26). Trained study staff measured height and weight, which were used to calculate body mass index (BMI; weight divided by height squared, kg/m2) as an indicator of obesity, and diastolic and systolic blood pressure using a standard protocol (27).

Serum Lipids

At baseline, the participants also provided an overnight fasting blood sample, and serum specimens were stored at −70°C (28). Cholesterol concentrations were determined enzymatically (CHOD-PAP method, Boehringer Mannheim). HDL cholesterol was measured after precipitation of very-low-density lipoprotein and low-density lipoprotein (LDL) cholesterol with dextran sulfate and magnesium chloride. Baseline serum cholesterol levels were successfully analyzed in 29,093 men (99.9%). At the 3rd-year visit, 22,833 participants had an additional fasting blood collection, which was also analyzed for total and HDL cholesterol.

Statistical Analysis

Person-time was calculated from the date of randomization to the date of cancer diagnosis, death, or March 31, 2003, whichever came first. Absolute rates of cancer were standardized to the age distribution of person-years experienced by all study participants using 5-year age categories. We used Cox proportional hazard regression analysis to generate relative risks (RR) and 95% confidence intervals (95% CI) using the SAS PROC PHREG procedure, with age as the underlying time metric. Men were categorized by quintile of total cholesterol and HDL cholesterol. The multivariate model was adjusted for the following potential confounders (modeled as quintiles, unless otherwise indicated): age (continuous), intervention (α-tocopheryl acetate and β-carotene supplementation, yes/no), level of education (elementary school or less, up to junior high school, high school or more), systolic blood pressure, BMI, physical activity, duration of smoking, number of cigarettes smoked per day, saturated fat intake (per 1,000 kcal intake of total energy), polyunsaturated fat intake (per 1,000 kcal intake of total energy), alcohol consumption, serum total cholesterol (for HDL cholesterol model only), and serum HDL cholesterol (for total cholesterol model only). Tests for linear trend were conducted by treating the median values of each exposure category as a single continuous variable in the model. We also applied nonparametric regression using cubic splines (29) to examine the association of total and HDL cholesterol with cancer risk, and conducted lag analyses that excluded cases diagnosed within up to 15 years of follow-up. In addition, stratified analyses were done by BMI, physical activity, blood pressure, alcohol consumption, and smoking. We formally tested for interactions using log-likelihood ratio tests. All analyses were conducted using SAS, version 9.1, software (SAS Institute, Inc.). All statistical tests were two-sided.

Average total and HDL cholesterol values for the study population at baseline were 241.2 mg/dL (SD 45.1) and 46.3 mg/dL (SD 12.3), respectively. Pearson correlations between the baseline and 3-year measurements for total and HDL cholesterol were high (r = 0.74 and r = 0.77, respectively). Total cholesterol and HDL cholesterol were unrelated (r = 0.01).

Men with higher serum total cholesterol concentrations tended to have lower education and reported greater consumption of saturated fat, whereas those with higher HDL cholesterol levels were leaner, physically more active, and consumed more alcohol, compared with men in the lowest cholesterol quintile (Table 1). Age, cigarettes per day, and years of smoking did not differ substantially by total or HDL cholesterol quintile.

Table 1.

Baseline characteristics of participants according to serum total cholesterol and HDL cholesterol, ATBC Study cohort, 1985 to 2003 (N = 29,093)

CharacteristicsTotal cholesterol (mg/dL)HDL cholesterol (mg/dL)
Quintile 1 (<203.9)Quintile 3 (227.7-249.2)Quintile 5 (>276.7)Quintile 1 (<36.2)Quintile 3 (41.7-47.2)Quintile 5 (>55.3)
Serum lipids, mg/dL 
    Total cholesterol (baseline) 182.9 238.3 306.9 238.1 242.5 240.6 
    Total cholesterol (at 3-y follow-up) 190.5 232.1 278.0 229.8 234.7 235.2 
    Total cholesterol change in first 3 y 7.3 −6.2 −28.7 −8.3 −8.5 −7.6 
    HDL cholesterol (baseline) 45.8 46.3 46.4 31.9 44.3 65.4 
    HDL cholesterol (at 3-y follow-up) 44.8 44.9 44.6 33.4 43.8 59.2 
    HDL cholesterol change in first 3 y −0.5 −1.3 −1.8 +1.5 −0.6 −5.8 
Age, y 57.5 57.1 57.0 57.2 57.3 57.2 
Smoking history 
    Cigarettes/d 20.6 20.2 20. 4 20.5 20.2 20.8 
    Years of smoking 36.1 35.8 35.9 36.1 35.9 35.9 
Education, % 
    Elementary school or less 77.1 79.2 80.6 77.6 79.8 80.4 
    Up to junior high school 14.8 13.4 12.5 15.0 13.0 12.2 
    High school or more 8.1 7.4 6.9 7.3 7.2 7.4 
Blood pressure, mm Hg 
    Diastolic 86.8 87.9 88.3 87.8 87.3 88.0 
    Systolic 141.1 142.3 142.7 141.8 141.5 143.1 
BMI, kg/m2 26.1 26.3 26.5 28.0 26.4 24.4 
Leisure-time physical activity, % 
    Sedentary 43.7 41.7 41.0 46.1 40.4 42.2 
    Moderate 49.6 52.2 53.8 49.3 53.0 51.8 
    Heavy 6.7 6.1 5.2 4.6 6.5 6.0 
Height, cm 173.8 173.6 173.2 174.1 173.6 172.8 
Alcohol consumption, g/d 17.0 17.0 16.3 11.8 15.9 23.7 
Energy intake, kcal/d 2,810 2,822 2,804 2,776 2,831 2,813 
Dietary saturate fat intake, g/1,000 kcal/d 17.8 18.4 19.0 17.9 18.6 18.6 
CharacteristicsTotal cholesterol (mg/dL)HDL cholesterol (mg/dL)
Quintile 1 (<203.9)Quintile 3 (227.7-249.2)Quintile 5 (>276.7)Quintile 1 (<36.2)Quintile 3 (41.7-47.2)Quintile 5 (>55.3)
Serum lipids, mg/dL 
    Total cholesterol (baseline) 182.9 238.3 306.9 238.1 242.5 240.6 
    Total cholesterol (at 3-y follow-up) 190.5 232.1 278.0 229.8 234.7 235.2 
    Total cholesterol change in first 3 y 7.3 −6.2 −28.7 −8.3 −8.5 −7.6 
    HDL cholesterol (baseline) 45.8 46.3 46.4 31.9 44.3 65.4 
    HDL cholesterol (at 3-y follow-up) 44.8 44.9 44.6 33.4 43.8 59.2 
    HDL cholesterol change in first 3 y −0.5 −1.3 −1.8 +1.5 −0.6 −5.8 
Age, y 57.5 57.1 57.0 57.2 57.3 57.2 
Smoking history 
    Cigarettes/d 20.6 20.2 20. 4 20.5 20.2 20.8 
    Years of smoking 36.1 35.8 35.9 36.1 35.9 35.9 
Education, % 
    Elementary school or less 77.1 79.2 80.6 77.6 79.8 80.4 
    Up to junior high school 14.8 13.4 12.5 15.0 13.0 12.2 
    High school or more 8.1 7.4 6.9 7.3 7.2 7.4 
Blood pressure, mm Hg 
    Diastolic 86.8 87.9 88.3 87.8 87.3 88.0 
    Systolic 141.1 142.3 142.7 141.8 141.5 143.1 
BMI, kg/m2 26.1 26.3 26.5 28.0 26.4 24.4 
Leisure-time physical activity, % 
    Sedentary 43.7 41.7 41.0 46.1 40.4 42.2 
    Moderate 49.6 52.2 53.8 49.3 53.0 51.8 
    Heavy 6.7 6.1 5.2 4.6 6.5 6.0 
Height, cm 173.8 173.6 173.2 174.1 173.6 172.8 
Alcohol consumption, g/d 17.0 17.0 16.3 11.8 15.9 23.7 
Energy intake, kcal/d 2,810 2,822 2,804 2,776 2,831 2,813 
Dietary saturate fat intake, g/1,000 kcal/d 17.8 18.4 19.0 17.9 18.6 18.6 

NOTE: Data are means or proportions.

During 18.0 years of follow-up (median 14.9 years), 7,545 incident cancer cases were identified. Higher serum total cholesterol was associated with decreased overall cancer incidence in the multivariate model (i.e., comparing highest to lowest quintiles, RR, 0.85; 95% CI, 0.79-0.91; P trend <0.0001; Table 2). The nonparametric regression plot showed a pattern similar to the categorical analyses, with the multivariate RR decreasing linearly with increasing total cholesterol (Fig. 1A). To minimize the impact of preclinical malignancy on serum cholesterol concentrations in our study, we conducted a lag analysis that excluded cases diagnosed within the first 9 years of follow-up, which showed the inverse association substantially attenuated and no longer statistically significant (RR, 0.96; 95% CI, 0.87-1.06). Progressive attenuation was observed with the exclusion of the first 3, 9, 12, and 15 years of follow-up (Table 2).

Table 2.

RRs and 95% CIs of cancer in relation to serum total cholesterol, ATBC Study cohort, 1985 to 2003 (N = 29,093)

Type of cancerTotal cholesterol (mg/dL)P
Quintile 1 (<203.9)Quintile 2 (203.9-227.6)Quintile 3 (227.7-249.2)Quintile 4 (249.3-276.6)Quintile 5 (>276.7)
All cancers 
    No. of cases 1,616 1,521 1,479 1,503 1,412  
    Age-standardized rate* 2,208 2,046 1,956 1,966 1,892  
    RR (95% CI) 1 (reference) 0.93 (0.87-1.00) 0.89 (0.83-0.95) 0.89 (0.83-0.96) 0.86 (0.80-0.92) <0.0001 
    RR (95% CI) 1 (reference) 0.92 (0.86-0.99) 0.88 (0.82-0.95) 0.89 (0.83-0.95) 0.85 (0.79-0.91) <0.0001 
Lag analysis 
    No. of cases§ 1,381 1,340 1,313 1,309 1,281  
    RR (95% CI),§ 1 (reference) 0.94 (0.88-1.02) 0.93 (0.86-1.00) 0.91 (0.85-0.99) 0.90 (0.83-0.97) 0.006 
    No. of cases 708 724 708 741 693  
    RR (95% CI), 1 (reference) 1.01 (0.92-1.12) 0.99 (0.89-1.09) 0.99 (0.90-1.09) 0.96 (0.87-1.06) 0.37 
    No. of cases 519 514 506 522 504  
    RR (95% CI), 1 (reference) 0.98 (0.87-1.11) 0.97 (0.86-1.09) 0.97 (0.86-1.10) 0.96 (0.85-1.08) 0.49 
    No. of cases** 202 185 206 209 200  
RR (95% CI)§,** 1 (reference) 0.93 (0.76-1.13) 1.04 (0.86-1.26) 1.01 (0.83-1.23) 1.00 (0.82-1.22) 0.78 
Lung cancer 
    No. of cases 566 547 498 534 473  
    RR (95% CI) 1 (reference) 0.95 (0.84-1.07) 0.87 (0.77-0.98) 0.92 (0.82-1.03) 0.81 (0.72-0.92) 0.0006 
Prostate cancer 
    No. of cases 323 314 317 330 302  
     RR (95% CI) 1 (reference) 0.94 (0.80-1.10) 0.94 (0.81-1.10) 0.97 (0.83-1.13) 0.90 (0.77-1.05) 0.09 
Bladder cancer  
    No. of cases 113 82 86 100 100  
    RR (95% CI) 1 (reference) 0.71 (0.53-0.94) 0.75 (0.57-0.99) 0.86 (0.66-1.13) 0.87 (0.66-1.14) 0.40 
Colorectal cancer 
    No. of cases 106 116 100 92 93  
    RR (95% CI) 1 (reference) 1.05 (0.81-1.37) 0.91 (0.69-1.19) 0.84 (0.63-1.11) 0.86 (0.65-1.13) 0.06 
Stomach cancer 
    No. of cases 73 65 79 52 65  
    RR (95% CI) 1 (reference) 0.87 (0.62-1.21) 1.05 (0.76-1.45) 0.69 (0.48-0.99) 0.86 (0.62-1.21) 0.48 
Kidney cancer 
    No. of cases 60 68 58 54 50  
    RR (95% CI) 1 (reference) 1.08 (0.76-1.52) 0.91 (0.63-1.30) 0.83 (0.57-1.20) 0.76 (0.52-1.10) 0.08 
Pancreatic cancer 
    No. of cases 59 53 55 47 59  
    RR (95% CI) 1 (reference) 0.87 (0.60-1.26) 0.90 (0.63-1.31) 0.77 (0.52-1.13) 0.96 (0.67-1.38) 0.73 
Hematopoietic 
    No. of cases 67 79 54 61 63  
    RR (95% CI) 1 (reference) 1.15 (0.83-1.60) 0.79 (0.55-1.12) 0.89 (0.63-1.26) 0.92 (0.65-1.30) 0.22 
Oropharynx cancer 
    No. of cases 42 32 28 38 42  
    RR (95% CI) 1 (reference) 0.75 (0.48-1.20) 0.65 (0.40-1.05) 0.89 (0.58-1.39) 1.00 (0.65-1.54) 0.56 
Larynx cancer 
    No. of cases 23 29 33 36 21  
    RR (95% CI) 1 (reference) 1.24 (0.71-2.14) 1.42 (0.83-2.41) 1.57 (0.93-2.65) 0.90 (0.50-1.64) 0.77 
Liver cancer 
    No. of cases 55 38 34 30 34  
    RR (95% CI) 1 (reference) 0.69 (0.46-1.05) 0.63 (0.41-0.97) 0.56 (0.36-0.88) 0.66 (0.43-1.01) 0.007 
Brain cancer 
    No. of cases 12 14 15 10  
    RR (95% CI) 1 (reference) 2.31 (0.81-6.57) 2.78 (1.00-7.72) 2.99 (1.08-8.24) 1.98 (0.67-5.81) 0.23 
Melanoma 
    No. of cases 17 14 19 12 21  
    RR (95% CI) 1 (reference) 0.80 (0.40-1.64) 1.11 (0.58-2.15) 0.72 (0.34-1.50) 1.24 (0.65-2.36) 0.44 
Esophageal cancer 
    No. of cases 17 20 25 12 23  
    RR (95% CI) 1 (reference) 1.15 (0.60-2.20) 1.44 (0.77-2.67) 0.69 (0.33-1.45) 1.37 (0.73-2.57) 0.65 
Type of cancerTotal cholesterol (mg/dL)P
Quintile 1 (<203.9)Quintile 2 (203.9-227.6)Quintile 3 (227.7-249.2)Quintile 4 (249.3-276.6)Quintile 5 (>276.7)
All cancers 
    No. of cases 1,616 1,521 1,479 1,503 1,412  
    Age-standardized rate* 2,208 2,046 1,956 1,966 1,892  
    RR (95% CI) 1 (reference) 0.93 (0.87-1.00) 0.89 (0.83-0.95) 0.89 (0.83-0.96) 0.86 (0.80-0.92) <0.0001 
    RR (95% CI) 1 (reference) 0.92 (0.86-0.99) 0.88 (0.82-0.95) 0.89 (0.83-0.95) 0.85 (0.79-0.91) <0.0001 
Lag analysis 
    No. of cases§ 1,381 1,340 1,313 1,309 1,281  
    RR (95% CI),§ 1 (reference) 0.94 (0.88-1.02) 0.93 (0.86-1.00) 0.91 (0.85-0.99) 0.90 (0.83-0.97) 0.006 
    No. of cases 708 724 708 741 693  
    RR (95% CI), 1 (reference) 1.01 (0.92-1.12) 0.99 (0.89-1.09) 0.99 (0.90-1.09) 0.96 (0.87-1.06) 0.37 
    No. of cases 519 514 506 522 504  
    RR (95% CI), 1 (reference) 0.98 (0.87-1.11) 0.97 (0.86-1.09) 0.97 (0.86-1.10) 0.96 (0.85-1.08) 0.49 
    No. of cases** 202 185 206 209 200  
RR (95% CI)§,** 1 (reference) 0.93 (0.76-1.13) 1.04 (0.86-1.26) 1.01 (0.83-1.23) 1.00 (0.82-1.22) 0.78 
Lung cancer 
    No. of cases 566 547 498 534 473  
    RR (95% CI) 1 (reference) 0.95 (0.84-1.07) 0.87 (0.77-0.98) 0.92 (0.82-1.03) 0.81 (0.72-0.92) 0.0006 
Prostate cancer 
    No. of cases 323 314 317 330 302  
     RR (95% CI) 1 (reference) 0.94 (0.80-1.10) 0.94 (0.81-1.10) 0.97 (0.83-1.13) 0.90 (0.77-1.05) 0.09 
Bladder cancer  
    No. of cases 113 82 86 100 100  
    RR (95% CI) 1 (reference) 0.71 (0.53-0.94) 0.75 (0.57-0.99) 0.86 (0.66-1.13) 0.87 (0.66-1.14) 0.40 
Colorectal cancer 
    No. of cases 106 116 100 92 93  
    RR (95% CI) 1 (reference) 1.05 (0.81-1.37) 0.91 (0.69-1.19) 0.84 (0.63-1.11) 0.86 (0.65-1.13) 0.06 
Stomach cancer 
    No. of cases 73 65 79 52 65  
    RR (95% CI) 1 (reference) 0.87 (0.62-1.21) 1.05 (0.76-1.45) 0.69 (0.48-0.99) 0.86 (0.62-1.21) 0.48 
Kidney cancer 
    No. of cases 60 68 58 54 50  
    RR (95% CI) 1 (reference) 1.08 (0.76-1.52) 0.91 (0.63-1.30) 0.83 (0.57-1.20) 0.76 (0.52-1.10) 0.08 
Pancreatic cancer 
    No. of cases 59 53 55 47 59  
    RR (95% CI) 1 (reference) 0.87 (0.60-1.26) 0.90 (0.63-1.31) 0.77 (0.52-1.13) 0.96 (0.67-1.38) 0.73 
Hematopoietic 
    No. of cases 67 79 54 61 63  
    RR (95% CI) 1 (reference) 1.15 (0.83-1.60) 0.79 (0.55-1.12) 0.89 (0.63-1.26) 0.92 (0.65-1.30) 0.22 
Oropharynx cancer 
    No. of cases 42 32 28 38 42  
    RR (95% CI) 1 (reference) 0.75 (0.48-1.20) 0.65 (0.40-1.05) 0.89 (0.58-1.39) 1.00 (0.65-1.54) 0.56 
Larynx cancer 
    No. of cases 23 29 33 36 21  
    RR (95% CI) 1 (reference) 1.24 (0.71-2.14) 1.42 (0.83-2.41) 1.57 (0.93-2.65) 0.90 (0.50-1.64) 0.77 
Liver cancer 
    No. of cases 55 38 34 30 34  
    RR (95% CI) 1 (reference) 0.69 (0.46-1.05) 0.63 (0.41-0.97) 0.56 (0.36-0.88) 0.66 (0.43-1.01) 0.007 
Brain cancer 
    No. of cases 12 14 15 10  
    RR (95% CI) 1 (reference) 2.31 (0.81-6.57) 2.78 (1.00-7.72) 2.99 (1.08-8.24) 1.98 (0.67-5.81) 0.23 
Melanoma 
    No. of cases 17 14 19 12 21  
    RR (95% CI) 1 (reference) 0.80 (0.40-1.64) 1.11 (0.58-2.15) 0.72 (0.34-1.50) 1.24 (0.65-2.36) 0.44 
Esophageal cancer 
    No. of cases 17 20 25 12 23  
    RR (95% CI) 1 (reference) 1.15 (0.60-2.20) 1.44 (0.77-2.67) 0.69 (0.33-1.45) 1.37 (0.73-2.57) 0.65 

*Rates are per 100,000 person-years, directly standardized to the age distribution of the cohort.

Adjusted for age.

Adjusted for age, intervention, level of education, systolic blood pressure, BMI, physical activity, duration of smoking, number of cigarettes smoked per day, saturates fat intake, polyunsaturated fat intake, total calorie, alcohol consumption, and serum HDL cholesterol.

§Excluded cases ascertained during the first 3 y of follow-up.

Excluded cases ascertained during the first 9 y of follow-up.

Excluded cases ascertained during the first 12 y of follow-up.

**Excluded cases ascertained during the first 15 y of follow-up.

Figure 1.

Nonparametric regression curve for the association between total cholesterol/HDL cholesterol and cancer risk. The lines are natural cubic splines showing the shape of the dose-response curve for cancer risk according to total cholesterol (A) or HDL cholesterol (B) on a continuous basis. The graphic display is truncated at 1% and 99% on the basis of the distribution of total cholesterol or HDL cholesterol. The model is adjusted for age, intervention, level of education, systolic blood pressure, BMI, physical activity, duration of smoking, number of cigarettes smoked per day, saturated fat intake, total calorie, alcohol consumption, serum total cholesterol, and serum HDL cholesterol.

Figure 1.

Nonparametric regression curve for the association between total cholesterol/HDL cholesterol and cancer risk. The lines are natural cubic splines showing the shape of the dose-response curve for cancer risk according to total cholesterol (A) or HDL cholesterol (B) on a continuous basis. The graphic display is truncated at 1% and 99% on the basis of the distribution of total cholesterol or HDL cholesterol. The model is adjusted for age, intervention, level of education, systolic blood pressure, BMI, physical activity, duration of smoking, number of cigarettes smoked per day, saturated fat intake, total calorie, alcohol consumption, serum total cholesterol, and serum HDL cholesterol.

Close modal

The inverse relation of serum total cholesterol was particularly evident and significant for cancers of the lung and liver [highest versus lowest quintile, RR, 0.81 (95% CI, 0.72-0.92; P for trend = 0.0006) and 0.66 (95% CI, 0.43-1.01; P for trend = 0.007), respectively; Table 2; Fig. 2A]. As in the analysis of all cancers combined, however, these associations were no longer significant when we excluded cases ascertained during the first 9 years of follow-up [lung cancer RR (95% CI), 0.93 (0.78-1.11), 1,327 cases; liver cancer RR (95% CI), 0.89 (0.47-1.67), 92 cases]. Higher serum cholesterol was also associated with decreased risks of the prostate, colorectal, and kidney cancers (albeit with marginal statistical significance), and were also attenuated in the 9-year lag analysis (highest versus lowest quintile, RR, 0.95, 1.18, and 1.04, for the three sites, respectively). Total cholesterol concentrations were unrelated to risk of the other cancer sites examined, and the findings remained essentially unchanged when we used total cholesterol measured in the 3rd year of follow-up or used an average of the two cholesterol determinations (data not shown).

Figure 2.

RRs and 95% CIs for the 5th versus 1st quintile of total cholesterol (A) and HDL cholesterol (B) and cancer risk.

Figure 2.

RRs and 95% CIs for the 5th versus 1st quintile of total cholesterol (A) and HDL cholesterol (B) and cancer risk.

Close modal

We examined whether the serum total cholesterol–cancer associations were modified by other factors and found that the associations were largely similar across various subgroups of men defined by age (<60 and 60+ years), BMI (<25, 25-29.9, and 30+ kg/m2), total fat and alcohol intake (tertiles), years of smoking (tertiles), cigarettes smoked daily (tertiles), and the α-tocopherol and β-carotene trial supplementation groups (all P for interaction ≥0.1; data not shown).

Higher serum HDL cholesterol was modestly, but significantly, associated with decreased cancer incidence overall in multivariate models (Table 3; comparing highest to lowest quintile, RR, 0.89; 95% CI, 0.83-0.97; P trend = 0.01). The nonparametric regression curve (Fig. 1B) showed a pattern similar to that of the categorical analyses, with the multivariate RR decreasing with increasing serum HDL cholesterol up to ∼55 mg/dL. The inverse association remained significant after exclusion of cases diagnosed during the first 12 years of follow-up [RR (95% CI), 0.85 (0.75-0.98), P trend = 0.01; n = 2,365 cases] and was similar but not statistically significant after excluding the first 15 years of observation [RR (95% CI), 0.85 (0.69-1.02) P trend = 0.10; n = 1,002 cases].

Table 3.

RRs and 95% CIs of cancer in relation to serum HDL cholesterol, ATBC Study cohort, 1985 to 2003 (N = 29,093)

Type of cancerHDL cholesterol (mg/dL)P
Quintile 1 (<36.2)Quintile 2 (36.2-41.6)Quintile 3 (41.7-47.2)Quintile 4 (47.3-55.2)Quintile 5 (>55.3)
All cancers 
    No. of cases 1,515 1,476 1,537 1,519 1,498  
    Age-standardized rate* 2,108 1,959 2,006 1,960 2,029  
    RR (95% CI) 1 (reference) 0.93 (0.86-1.00) 0.95 (0.89-1.02) 0.93 (0.87-1.00) 0.96 (0.90-1.03) 0.48 
    RR (95% CI) 1 (reference) 0.92 (0.85-0.98) 0.93 (0.86-0.99) 0.90 (0.83-0.97) 0.89 (0.83-0.97) 0.01 
Lag analysis 
    No. of cases§ 1,308 1,298 1,355 1,346 1,317  
    RR (95% CI),§ 1 (reference) 0.93 (0.86-1.00) 0.94 (0.87-1.02) 0.91 (0.84-0.99) 0.90 (0.83-0.98) 0.03 
    No. of cases 689 709 737 739 712  
    RR (95% CI), 1 (reference) 0.93 (0.84-1.03) 0.94 (0.85-1.03) 0.92 (0.83-1.01) 0.86 (0.77-0.96) 0.008 
    No. of cases 491 514 544 513 503  
    RR (95% CI), 1 (reference) 0.95 (0.84-1.08) 0.95 (0.84-1.08) 0.88 (0.77-0.99) 0.85 (0.75-0.98) 0.01 
    No. of cases** 198 197 194 196 217  
    RR (95% CI),** 1 (reference) 0.88 (0.73-1.08) 0.81 (0.66-0.99) 0.79 (0.64-0.97) 0.85 (0.69-1.02) 0.10 
Lung cancer 
    No. of cases 495 499 514 564 546  
    RR (95% CI) 1 (reference) 0.92 (0.81-1.05) 0.91 (0.80-1.03) 0.96 (0.85-1.09) 0.89 (0.78-1.01) 0.19 
Prostate cancer 
    No. of cases 310 327 345 321 283  
    RR (95% CI) 1 (reference) 0.99 (0.85-1.16) 1.03 (0.88-1.20) 0.95 (0.81-1.11) 0.89 (0.75-1.06) 0.12 
Bladder cancer 
    No. of cases 102 105 98 83 93  
    RR (95% CI) 1 (reference) 0.98 (0.75-1.30) 0.91 (0.69-1.21) 0.77 (0.57-1.04) 0.90 (0.66-1.22) 0.28 
Colorectal cancer 
    No. of cases 106 110 83 97 111  
    RR (95% CI) 1 (reference) 0.99 (0.76-1.30) 0.73 (0.55-0.98) 0.85 (0.64-1.14) 1.01 (0.76-1.35) 0.99 
Stomach cancer 
    No. of cases 66 57 78 76 57  
    RR (95% CI) 1 (reference) 0.85 (0.60-1.22) 1.17 (0.84-1.63) 1.15 (0.82-1.62) 0.90 (0.61-1.32) 0.95 
Kidney cancer 
    No. of cases 63 75 52 60 40  
    RR (95% CI) 1 (reference) 1.21 (0.87-1.70) 0.87 (0.60-1.27) 1.05 (0.73-1.52) 0.80 (0.52-1.22) 0.20 
Pancreatic cancer 
    No. of cases 59 41 68 44 61  
    RR (95% CI) 1 (reference) 0.65 (0.43-0.97) 1.06 (0.74-1.52) 0.67 (0.45-1.00) 0.94 (0.64-1.40) 0.97 
Hematopoietic 
    No. of cases 77 74 67 54 52  
    RR (95% CI) 1 (reference) 0.95 (0.69-1.30) 0.85 (0.61-1.18) 0.68 (0.47-0.97) 0.71 (0.49-1.04) 0.03 
Oropharynx cancer 
    No. of cases 28 36 28 41 49  
    RR (95% CI) 1 (reference) 1.10 (0.67-1.81) 0.78 (0.46-1.33) 1.03 (0.62-1.69) 1.06 (0.64-1.76) 0.76 
Larynx cancer 
    No. of cases 27 25 29 22 39  
    RR (95% CI) 1 (reference) 0.86 (0.50-1.49) 0.95 (0.56-1.63) 0.70 (0.39-1.25) 1.20 (0.70-2.05) 0.47 
Liver cancer 
    No. of cases 55 34 32 34 36  
    RR (95% CI) 1 (reference) 0.60 (0.39-0.93) 0.55 (0.35-0.86) 0.58 (0.37-0.91) 0.61 (0.38-0.97) 0.05 
Brain cancer 
    No. of cases 13 10 15  
    RR (95% CI) 1 (reference) 0.87 (0.34-2.20) 1.16 (0.49-2.75) 0.83 (0.33-2.11) 1.11 (0.45-2.73) 0.80 
Melanoma 
    No. of cases 18 18 23 13 11  
    RR (95% CI) 1 (reference) 1.06 (0.55-2.05) 1.44 (0.77-2.70) 0.85 (0.41-1.78) 0.87 (0.39-1.94) 0.59 
Esophageal cancer 
    No. of cases 13 17 13 18 36  
    RR (95% CI) 1 (reference) 1.10 (0.53-2.28) 0.75 (0.35-1.65) 0.93 (0.45-1.96) 1.60 (0.80-3.19) 0.08 
Type of cancerHDL cholesterol (mg/dL)P
Quintile 1 (<36.2)Quintile 2 (36.2-41.6)Quintile 3 (41.7-47.2)Quintile 4 (47.3-55.2)Quintile 5 (>55.3)
All cancers 
    No. of cases 1,515 1,476 1,537 1,519 1,498  
    Age-standardized rate* 2,108 1,959 2,006 1,960 2,029  
    RR (95% CI) 1 (reference) 0.93 (0.86-1.00) 0.95 (0.89-1.02) 0.93 (0.87-1.00) 0.96 (0.90-1.03) 0.48 
    RR (95% CI) 1 (reference) 0.92 (0.85-0.98) 0.93 (0.86-0.99) 0.90 (0.83-0.97) 0.89 (0.83-0.97) 0.01 
Lag analysis 
    No. of cases§ 1,308 1,298 1,355 1,346 1,317  
    RR (95% CI),§ 1 (reference) 0.93 (0.86-1.00) 0.94 (0.87-1.02) 0.91 (0.84-0.99) 0.90 (0.83-0.98) 0.03 
    No. of cases 689 709 737 739 712  
    RR (95% CI), 1 (reference) 0.93 (0.84-1.03) 0.94 (0.85-1.03) 0.92 (0.83-1.01) 0.86 (0.77-0.96) 0.008 
    No. of cases 491 514 544 513 503  
    RR (95% CI), 1 (reference) 0.95 (0.84-1.08) 0.95 (0.84-1.08) 0.88 (0.77-0.99) 0.85 (0.75-0.98) 0.01 
    No. of cases** 198 197 194 196 217  
    RR (95% CI),** 1 (reference) 0.88 (0.73-1.08) 0.81 (0.66-0.99) 0.79 (0.64-0.97) 0.85 (0.69-1.02) 0.10 
Lung cancer 
    No. of cases 495 499 514 564 546  
    RR (95% CI) 1 (reference) 0.92 (0.81-1.05) 0.91 (0.80-1.03) 0.96 (0.85-1.09) 0.89 (0.78-1.01) 0.19 
Prostate cancer 
    No. of cases 310 327 345 321 283  
    RR (95% CI) 1 (reference) 0.99 (0.85-1.16) 1.03 (0.88-1.20) 0.95 (0.81-1.11) 0.89 (0.75-1.06) 0.12 
Bladder cancer 
    No. of cases 102 105 98 83 93  
    RR (95% CI) 1 (reference) 0.98 (0.75-1.30) 0.91 (0.69-1.21) 0.77 (0.57-1.04) 0.90 (0.66-1.22) 0.28 
Colorectal cancer 
    No. of cases 106 110 83 97 111  
    RR (95% CI) 1 (reference) 0.99 (0.76-1.30) 0.73 (0.55-0.98) 0.85 (0.64-1.14) 1.01 (0.76-1.35) 0.99 
Stomach cancer 
    No. of cases 66 57 78 76 57  
    RR (95% CI) 1 (reference) 0.85 (0.60-1.22) 1.17 (0.84-1.63) 1.15 (0.82-1.62) 0.90 (0.61-1.32) 0.95 
Kidney cancer 
    No. of cases 63 75 52 60 40  
    RR (95% CI) 1 (reference) 1.21 (0.87-1.70) 0.87 (0.60-1.27) 1.05 (0.73-1.52) 0.80 (0.52-1.22) 0.20 
Pancreatic cancer 
    No. of cases 59 41 68 44 61  
    RR (95% CI) 1 (reference) 0.65 (0.43-0.97) 1.06 (0.74-1.52) 0.67 (0.45-1.00) 0.94 (0.64-1.40) 0.97 
Hematopoietic 
    No. of cases 77 74 67 54 52  
    RR (95% CI) 1 (reference) 0.95 (0.69-1.30) 0.85 (0.61-1.18) 0.68 (0.47-0.97) 0.71 (0.49-1.04) 0.03 
Oropharynx cancer 
    No. of cases 28 36 28 41 49  
    RR (95% CI) 1 (reference) 1.10 (0.67-1.81) 0.78 (0.46-1.33) 1.03 (0.62-1.69) 1.06 (0.64-1.76) 0.76 
Larynx cancer 
    No. of cases 27 25 29 22 39  
    RR (95% CI) 1 (reference) 0.86 (0.50-1.49) 0.95 (0.56-1.63) 0.70 (0.39-1.25) 1.20 (0.70-2.05) 0.47 
Liver cancer 
    No. of cases 55 34 32 34 36  
    RR (95% CI) 1 (reference) 0.60 (0.39-0.93) 0.55 (0.35-0.86) 0.58 (0.37-0.91) 0.61 (0.38-0.97) 0.05 
Brain cancer 
    No. of cases 13 10 15  
    RR (95% CI) 1 (reference) 0.87 (0.34-2.20) 1.16 (0.49-2.75) 0.83 (0.33-2.11) 1.11 (0.45-2.73) 0.80 
Melanoma 
    No. of cases 18 18 23 13 11  
    RR (95% CI) 1 (reference) 1.06 (0.55-2.05) 1.44 (0.77-2.70) 0.85 (0.41-1.78) 0.87 (0.39-1.94) 0.59 
Esophageal cancer 
    No. of cases 13 17 13 18 36  
    RR (95% CI) 1 (reference) 1.10 (0.53-2.28) 0.75 (0.35-1.65) 0.93 (0.45-1.96) 1.60 (0.80-3.19) 0.08 

*Rates are per 100,000 person-years, directly standardized to the age distribution of the cohort.

Adjusted for age.

Adjusted for age, intervention, level of education, systolic blood pressure, BMI, physical activity, duration of smoking, number of cigarettes smoked per day, saturated fat intake, polyunsaturated fat intake, total calorie intake, alcohol consumption, and serum total cholesterol.

§Excluded cases ascertained during the first 3 y of follow-up.

Excluded cases ascertained during the first 9 y of follow-up.

Excluded cases ascertained during the first 12 y of follow-up.

**Excluded cases ascertained during the first 15 y of follow-up.

The weak inverse relation of HDL cholesterol was largely attributed to cancers of the lung, prostate, liver, and hematopoietic system: RR (95% CI) for highest versus lowest quintiles for these sites, respectively, were 0.89 (0.78-1.01), P trend = 0.19; 0.89 (0.75-1.06), P trend = 0.12; 0.61 (0.38-0.97), P trend = 0.05; and 0.71 (0.49-1.04, P trend = 0.03. When we excluded cases diagnosed in the first 9 years of follow-up, however, only the inverse associations with lung and liver cancer remained suggestive [RR (95% CI), 0.84 (0.69-1.01) and 0.74 (0.39-1.44), respectively]. Exclusion of cases ascertained during the first 12 years of follow-up also did not eliminate these associations, although the number of cases were small [RR for lung cancer, 0.86 (0.68-1.09) and RR for liver cancer, 0.49 (0.20-1.23)]. In contrast, the inverse associations with prostate and hematopoietic cancers was not apparent after excluding cases from the first 9 years [RR (95% CI), 0.94 (0.75-1.16) and 1.76 (0.65-2.14), respectively]. Results remained essentially unchanged when we used HDL cholesterol measured in the 3rd year of follow-up or used the average of the two HDL cholesterol values (data not shown).

In exploratory analyses, associations between HDL cholesterol and cancer were largely similar across other subgroups of men defined by age (<60 and 60+ years), BMI (<25, 25-29.9, and 30+ kg/m2), total fat and alcohol intake (tertiles), years of smoking (tertiles), cigarettes smoked daily (tertiles), and the α-tocopherol and β-carotene trial supplementation groups (all P for interaction ≥0.05; data not shown).

We observed that men with higher serum total cholesterol concentrations experienced lower cancer incidence rates compared with men with lower levels. This overall association was greatly attenuated, however, when we excluded cases diagnosed during the first half of our 18-year follow-up period, indicating that lower serum cholesterol may be a marker of existing malignancy and not a causal factor. Greater serum HDL cholesterol was modestly, but significantly, associated with decreased overall cancer risk, especially for cancers of the lung, liver, and the hematopoietic system. These associations for lung and liver cancers were stable during follow-up.

Several studies have found modestly higher cancer mortality (1-11) and incidence (10, 12-14) among persons with low serum total cholesterol, and our findings based on more than 7,500 incident cases and nearly 20 years of follow-up are consistent with these observations. Whether this association has any causal basis has remained controversial, however. The Multiple Risk Factor Intervention Trial and the Lipid Research Clinics Coronary Primary Prevention Trial observed that total cholesterol concentrations decreased ∼5 years before cancer death (11) and 2 years before cancer diagnosis (17), respectively, indicating the possibility of preclinical effects of malignancies on serum levels; for example, through effects on cholesterol absorption, transport, metabolism, or utilization. Although the timing of cholesterol depression with respect to specific cancer sites, including of the lung and liver, has not been delineated, our observation of essentially null associations with total cholesterol after exclusion of cases diagnosed during the first 9 years of follow-up, along with larger declines in cholesterol concentrations from baseline to 3 years for cases diagnosed within 9 years of blood collection, supports the idea that subclinical and undiagnosed malignancy played a role in the prior studies' findings. It is also possible that cholesterol acts as a component of acute phase response that indicates or causes a wide variety of future diseases, including cancer, as previously suggested (30).

Our study is unique among prior similar investigations in having serum HDL cholesterol measurements for the entire cohort of 29,000 men. Higher HDL concentrations were related to modestly decreased risk of cancer overall, and this association remained after excluding cases diagnosed during the first 15 years of follow-up, arguing against an effect of preclinical disease on serum concentrations. Our findings are consistent with the Framingham Offspring Study, which observed an inverse (albeit, not statistically significant) association between HDL cholesterol and cancer risk; however, this evaluation was based on very few (200) cases (31). Biological mechanisms that might account for a HDL cholesterol–cancer relationship are not well understood, although HDL regulation of cell cycle entry through a mitogen-activated protein kinase–dependent pathway (18) and apoptosis (19), modulation of cytokine production, and antioxidative function (32) have been considered and are biologically plausible.

We found an inverse association between serum HDL cholesterol and risk of lung cancer that was also stable to exclusion of cases diagnosed early during follow-up. Three case-control studies observed lower serum HDL cholesterol in lung cancer patients compared with controls (33-35), as did the prospective Atherosclerosis Risk in Communities study (23). In the latter study, the inverse relationship was more pronounced among former, and not current, smokers. Although the ATBC Study participants were smokers at study entry, we observed no interaction between smoking dose or duration, HDL cholesterol, and lung cancer. The Atherosclerosis Risk in Communities study showed an inverse HDL–lung cancer association even after exclusion of cases diagnosed within 5 years of baseline (23), and although data are lacking from other studies, taken together with the present findings, an etiologic role for low HDL cholesterol in lung cancer cannot be excluded.

The findings for serum HDL cholesterol and risk of liver cancer were somewhat unexpected. Because most lipoproteins are synthesized in the liver, the plasma lipid (and lipoprotein) patterns could result from subclinical liver carcinogenesis (36, 37). Our findings of an inverse association after excluding cases diagnosed during the first 12 years of follow-up may indicate some etiologic role for HDL in liver carcinogenesis, although exclusion of a longer lag period in other prospective studies with sufficient cases may be necessary to confirm our data.

The major strengths of our investigation include the use of prediagnostic serum, a large study sample with serum cholesterol prospectively measured, and detailed information on dietary and lifestyle factors, including direct measurements of blood pressure and anthropometry that minimized bias from self-reports. With 18 years of observation, we were able to examine the risk associations after excluding successive years of the cancers diagnosed earlier during follow-up to evaluate and minimize reverse causation. In contrast to most previous studies, we measured both total and HDL cholesterol concentrations and observed high correlations between their determinations 3 years apart (r = 0.74 and 0.77, respectively), supporting internal consistency and validity. Total and HDL cholesterol concentrations were also comparable with those in the U.S. population (smokers and nonsmokers): low total cholesterol (<230 mg/dL) and HDL cholesterol (<40 mg/dL) were observed in 45% and 35% for our study compared with 50% and 33% among men in the United States (38).

Our investigation included only male cigarette smokers and our findings may not be directly generalizable to women and nonsmokers. The cholesterol-cancer associations we observed did not differ according to smoking dose or duration, however, and they were not confounded by smoking levels. Another limitation of the study is that we did not have information regarding use of cholesterol-lowering medications or other lipid fractions such as LDL cholesterol and triglycerides; however, with the average total-to-HDL cholesterol ratio being 5.36 in our study, the total cholesterol findings are likely to have been driven largely by LDL cholesterol and triglycerides. It is theoretically possible that our findings were influenced by competing risks; that is, if men with higher total serum cholesterol are more likely to die from cardiovascular causes, they might be at reduced risk of developing (or being diagnosed with) cancer. Because information on cholesterol levels and other cardiovascular risk factors was not updated during the longer follow-up period, we were not able to fully evaluate these characteristics as time-dependent variables.

In summary, higher circulating total and HDL cholesterol concentrations were associated with decreased risk of cancer, particularly for cancers of the lung and liver (total cholesterol) and lung, liver, and hematopoietic malignancies (HDL cholesterol). An influence of preclinical disease to lower cholesterol concentrations seems to explain some of the associations observed, particularly for total cholesterol, but we cannot completely rule out an etiologic role for low serum (primarily HDL) cholesterol. Additional studies in other populations that include women and nonsmokers, as well as experimental investigations of potential mechanisms such as cell membrane and inflammation effects, and more detailed analyses of differences by cancer stage or aggressiveness, will be useful for a more complete understanding of the circulating cholesterol–cancer relationship.

No potential conflicts of interest were disclosed.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1
Rose
G
,
Blackburn
H
,
Keys
A
,
Taylor
HL
,
Kannel
WB
,
Paul
O
, et al
. 
Colon cancer and blood-cholesterol
.
Lancet
1974
;
1
:
181
3
.
2
Rose
G
,
Shipley
MJ
. 
Plasma lipids and mortality: a source of error
.
Lancet
1980
;
1
:
523
6
.
3
Cambien
F
,
Ducimetiere
P
,
Richard
J
. 
Total serum cholesterol and cancer mortality in a middle-aged male population
.
Am J Epidemiol
1980
;
112
:
388
94
.
4
Beaglehole
R
,
Foulkes
MA
,
Prior
IA
,
Eyles
EF
. 
Cholesterol and mortality in New Zealand Maoris
.
Br Med J
1980
;
280
:
285
7
.
5
Kagan
A
,
McGee
DL
,
Yano
K
,
Rhoads
GG
,
Nomura
A
. 
Serum cholesterol and mortality in a Japanese-American population: the Honolulu Heart program
.
Am J Epidemiol
1981
;
114
:
11
20
.
6
Garcia-Palmieri
MR
,
Sorlie
PD
,
Costas
R
 Jr.
,
Havlik
RJ
. 
An apparent inverse relationship between serum cholesterol and cancer mortality in Puerto Rico
.
Am J Epidemiol
1981
;
114
:
29
40
.
7
Peterson
B
,
Trell
E
. 
Premature mortality in middle-aged men: serum cholesterol as risk factor
.
Wien Klin Wochenschr
1983
;
61
:
795
801
.
8
Sorlie
PD
,
Fienleib
M
. 
The serum cholesterol-cancer relationship: an analysis of time trends in the Framingham Study
.
J Natl Cancer Inst
1982
;
69
:
989
96
.
9
International Collaborative Group. Circulating cholesterol level and risk of death from cancer in men aged 40 to 69 years.
JAMA
1982
;
248
:
2853
9
.
10
Morris
DL
,
Borhani
NO
,
Fitzsimons
E
,
Hardy
RJ
,
Hawkins
CM
,
Kraus
JF
, et al
. 
Serum cholesterol and cancer in the Hypertension Detection and Follow-up Program
.
Cancer
1983
;
52
:
1754
9
.
11
Sherwin
RW
,
Wentworth
DN
,
Cutler
JA
,
Hulley
SB
,
Kuller
LH
,
Stamler
J
. 
Serum cholesterol levels and cancer mortality in 361,662 men screened for the Multiple Risk Factor Intervention Trial
.
JAMA
1987
;
257
:
943
8
.
12
Williams
RR
,
Sorlie
PD
,
Feinleib
M
,
McNamara
PM
,
Kannel
WB
,
Dawber
TR
. 
Cancer incidence by levels of cholesterol
.
JAMA
1981
;
245
:
247
52
.
13
Kark
JD
,
Smith
AH
,
Hames
CG
. 
The relationship of serum cholesterol to the incidence of cancer in Evans County, Georgia
.
J Chronic Dis
1980
;
33
:
311
32
.
14
Wallace
RB
,
Rost
C
,
Burmeister
LF
,
Pomrehn
PR
. 
Cancer incidence in humans: relationship to plasma lipids and relative weight
.
J Natl Cancer Inst
1982
;
68
:
915
18
.
15
Jacobs
D
,
Blackburn
H
,
Higgins
M
,
Reed
D
,
Iso
H
,
McMillan
G
, et al
. 
Report of the conference on low blood cholesterol: mortality associations
.
Circulation
1992
;
86
:
1046
60
.
16
Schatzkin
A
,
Hoover
RN
,
Taylor
PR
,
Ziegler
RG
,
Carter
CL
,
Larson
DB
, et al
. 
Serum cholesterol and cancer in the NHANES I epidemiologic follow-up study. National Health and Nutrition Examination Survey
.
Lancet
1987
;
2
:
298
301
.
17
Kritchevsky
SB
,
Wilcosky
TC
,
Morris
DL
,
Truong
KN
,
Tyroler
HA
. 
Changes in plasma lipid and lipoprotein cholesterol and weight prior to the diagnosis of cancer
.
Cancer Res
1991
;
51
:
3198
3203
.
18
Nofer
JR
,
Junker
R
,
Pulawski
E
,
Fobker
M
,
Levkau
B
,
von Eckardstein
A
, et al
. 
High density lipoproteins induce cell cycle entry in vascular smooth muscle cells via mitogen activated protein kinase-dependent pathway
.
Thromb Haemost
2001
;
85
:
730
5
.
19
Nofer
JR
,
Levkau
B
,
Wolinska
I
,
Junker
R
,
Fobker
M
,
von Eckardstein
A
, et al
. 
Suppression of endothelial cell apoptosis by high density lipoproteins (HDL) and HDL-associated lysosphingolipids
.
J Biol Chem
2001
;
276
:
34480
5
.
20
Lim
U
,
Gayles
T
,
Katki
HA
,
Stolzenberg-Solomon
R
,
Weinstein
SJ
,
Pietinen
P
, et al
. 
Serum high-density lipoprotein cholesterol and risk of non-Hodgkin lymphoma
.
Cancer Res
2007
;
67
:
5569
74
.
21
Furberg
AS
,
Veierod
MB
,
Wilsgaard
T
,
Bernstein
L
,
Thune
I
. 
Serum high-density lipoprotein cholesterol, metabolic profile, and breast cancer risk
.
J Natl Cancer Inst
2004
;
96
:
1152
60
.
22
Moorman
PG
,
Hulka
BS
,
Hiatt
RA
,
Krieger
N
,
Newman
B
,
Vogelman
JH
, et al
. 
Association between high-density lipoprotein cholesterol and breast cancer varies by menopausal status
.
Cancer Epidemiol Biomarkers Prev
1998
;
7
:
483
8
.
23
Kucharska-Newton
AM
,
Rosamond
WD
,
Schroeder
JC
,
McNeill
AM
,
Coresh
J
,
Folsom
AR
. 
HDL-cholesterol and the incidence of lung cancer in the Atherosclerosis Risk in Communities (ARIC) study
.
Lung Cancer
2008
;
61
:
292
300
.
24
The ATBC Cancer Prevention Study Group
. 
The α-tocopherol, β-carotene lung cancer prevention study: design, methods, participant characteristics, and compliance
.
Ann Epidemiol
1994
;
4
:
1
10
.
25
Korhonen
P
,
Malila
N
,
Pukkala
E
,
Teppo
L
,
Albanes
D
,
Virtamo
J
. 
The Finnish Cancer Registry as follow-up source of a large trial cohort—accuracy and delay
.
Acta Oncol
2002
;
41
:
381
8
.
26
Pietinen
P
,
Hartman
AM
,
Haapa
E
,
Rasanen
L
,
Haapakoski
J
,
Palmgren
J
, et al
. 
Reproducibility and validity of dietary assessment instruments. I. A self-administered food use questionnaire with a portion size picture booklet
.
Am J Epidemiol
1988
;
128
:
655
66
.
27
Leppala
JM
,
Virtamo
J
,
Fogelholm
R
,
Albanes
D
,
Heinonen
OP
. 
Different risk factors for different stroke subtypes: association of blood pressure, cholesterol, and antioxidants
.
Stroke
1999
;
30
:
2535
40
.
28
Paunio
M
,
Heinonen
OP
,
Virtamo
J
,
Klag
MJ
,
Manninen
V
,
Albanes
D
, et al
. 
HDL cholesterol and mortality in Finnish men with special reference to alcohol intake
.
Circulation
1994
;
90
:
2909
18
.
29
Durrleman
S
,
Simon
R
. 
Flexible regression models with cubic splines
.
Stat Med
1989
;
8
:
551
61
.
30
Jacobs
DR
 Jr.
,
Hebert
B
,
Schreiner
PJ
,
Sidney
S
,
Iribarren
C
,
Hulley
S
. 
Reduced cholesterol is associated with recent minor illness: the CARDIA Study. Coronary Artery Risk Development in Young Adults
.
Am J Epidemiol
1997
;
146
:
558
64
.
31
Mainous
AG
 III
,
Wells
BJ
,
Koopman
RJ
,
Everett
CJ
,
Gill
JM
. 
Iron, lipids, and risk of cancer in the Framingham Offspring cohort
.
Am J Epidemiol
2005
;
161
:
1115
22
.
32
von Eckardstein
A
,
Hersberger
M
,
Rohrer
L
. 
Current understanding of the metabolism and biological actions of HDL
.
Curr Opin Clin Nutr Metab Care
2005
;
8
:
147
52
.
33
Siemianowicz
K
,
Gminski
J
,
Stajszczyk
M
,
Wojakowski
W
,
Goss
M
,
Machalski
M
, et al
. 
Serum HDL cholesterol concentration in patients with squamous cell and small cell lung cancer
.
Int J Mol Med
2000
;
6
:
307
11
.
34
Umeki
S
. 
Decreases in serum cholesterol levels in advanced lung cancer
.
Respiration
1993
;
60
:
178
81
.
35
Dessi
S
,
Batetta
B
,
Pulisci
D
,
Spano
O
,
Cherchi
R
,
Lanfranco
G
, et al
. 
Altered pattern of lipid metabolism in patients with lung cancer
.
Oncology
1992
;
49
:
436
41
.
36
Jiang
J
,
Nilsson-Ehle
P
,
Xu
N
. 
Influence of liver cancer on lipid and lipoprotein metabolism
.
Lipids Health Dis
2006
;
5
:
4
.
37
Jiang
JT
,
Xu
N
,
Wu
CP
. 
Metabolism of high density lipoproteins in liver cancer
.
World J Gastroenterol
2007
;
13
:
3159
63
.
38
Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report
.
Circulation
2002
;
106
:
3143
421
.

Supplementary data