Literature DB >> 27280630

Statin use and all-cancer survival: prospective results from the Women's Health Initiative.

Ange Wang1, Aaron K Aragaki2, Jean Y Tang3, Allison W Kurian1,4, JoAnn E Manson5, Rowan T Chlebowski6, Michael Simon7, Pinkal Desai8, Sylvia Wassertheil-Smoller9, Simin Liu10, Stephen Kritchevsky11, Heather A Wakelee1, Marcia L Stefanick12.   

Abstract

BACKGROUND: This study aims to investigate the association between statin use and all-cancer survival in a prospective cohort of postmenopausal women, using data from the Women's Health Initiative Observational Study (WHI-OS) and Clinical Trial (WHI-CT).
METHODS: The WHI study enrolled women aged 50-79 years from 1993 to 1998 at 40 US clinical centres. Among 146 326 participants with median 14.6 follow-up years, 23 067 incident cancers and 3152 cancer deaths were observed. Multivariable-adjusted Cox proportional hazards models were used to investigate the relationship between statin use and cancer survival.
RESULTS: Compared with never-users, current statin use was associated with significantly lower risk of cancer death (hazard ratio (HR), 0.78; 95% confidence interval (CI), 0.71-0.86, P<0.001) and all-cause mortality (HR, 0.80; 95% CI, 0.74-0.88). Use of other lipid-lowering medications was also associated with increased cancer survival (P-interaction (int)=0.57). The lower risk of cancer death was not dependent on statin potency (P-int=0.22), lipophilicity/hydrophilicity (P-int=0.43), type (P-int=0.34) or duration (P-int=0.33). However, past statin users were not at lower risk of cancer death compared with never-users (HR, 1.06; 95% CI, 0.85-1.33); in addition, statin use was not associated with a reduction of overall cancer incidence despite its effect on survival (HR, 0.96; 95% CI, 0.92-1.001).
CONCLUSIONS: In a cohort of postmenopausal women, regular use of statins or other lipid-lowering medications was associated with decreased cancer death, regardless of the type, duration, or potency of statin medications used.

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Year:  2016        PMID: 27280630      PMCID: PMC4931370          DOI: 10.1038/bjc.2016.149

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Cancer is the second leading cause of death among women in the United States, with over 270 000 cancer deaths in 2015 (Siegel ). The use of 3-hydroxy-3-methyl-glutaryl-CoA reductase inhibitor medications (‘statins' or ‘HMG Co-A reductase inhibitors') for cholesterol reduction has been hypothesised to interfere with cancer growth and metastasis through multiple mechanisms (Fenton ; Herold ; Deberardinis ; Gauthaman ; Mannello and Tonti, 2009). Current literature on statin use and cancer survival has been mixed (Dale ; Cholesterol Treatment Trialists' (CTT) Collaborators ; Murtola ; Cardwell ; Desai ; Wu ; Zhong ), although a retrospective nationwide Danish study found a statistically significant 15% reduction in all-cancer mortality among patients who used statins before cancer diagnosis (Nielsen ). Given the widespread and rapidly growing statin use in the United States (Stone ), we aimed to investigate the relationship between statin use and all-cancer survival in the Women's Health Initiative (WHI). To our best knowledge, this is the first prospective study to investigate statins and all-cancer survival.

Materials and Methods

Design, setting, and participants

The WHI is a large, multi-centre study designed to study major causes of morbidity and mortality in postmenopausal women. The WHI includes a clinical trial (CT) and an observational study (OS) cohort, with details described previously (Hays ). Women meeting eligibility criteria (age 50–79, postmenopausal, minimum life expectancy 3 years) were recruited at 40 US clinical centres between 1 September 1993 and 31 December 1998. Primary analyses focused on current statin users among the N=23 067 women who experienced an incident cancer during follow-up (Supplementary Figure 1).

Exposures, confounders, and classification of cases

WHI implementation details have been previously published (Anderson ). The medication inventory was repeated at years 1, 3, 6, and 9 for the CT, and year 3 for the OS during the initial study period, which ended on 31 March 2005. The overall follow-up period for the study was through 20 September 2013. Cancers were initially verified at the local clinical centre, and then confirmed by centrally trained physician adjudicators (Curb ).

Statistical analysis

Multivariable-adjusted Cox regression techniques were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) by modelling two-ordered events: time from enrolment to incident cancer (secondary end point) and time from incident cancer to cancer death (primary end point). Statin use was modelled as a time-dependent categorical variable (Therneau and Grambsch, 2000), with the following levels: (0) never use, (1) current use (at the time of the latest medication inventory), (2) past use, and (3) out-of-date medication inventory (Gong ). The primary analysis compared current (1) vs never used statins (0), to investigate the effect of regular statin use. The Cox proportional hazard analyses were adjusted for potential confounders and included baseline covariates age, race/ethnicity, education, smoking, body mass index, physical activity, family history of cancer, current health-care provider, oral contraception use, prior unopposed oestrogen use, prior oestrogen plus progestin use, solar irradiance (latitude), prior CHD history, prior diabetes history, randomisation into the CaD trial, and age at menarche. Participants who did not die of cancer were censored at death due to other causes, last contact, or out-of-date medication collection. All analyses were conducted using SAS software, version 9.3 (SAS Institute, Cary, NC, USA) and R software version 2.15 (R Foundation for Statistical, Vienna, Austria).

Results

In our analysis, 146 326 participants contributed 1 805 759 person-years, median (interquartile range, IQR)=14.6 (8.1–16.2) years of follow-up. A cumulative 24 404 women were diagnosed with an incident cancer (Supplementary Figure 1). Of this group, 23 067 women had additional follow-up, median (IQR) of 4.8 (1.8–9.4) years, with 7411 all-cause mortalities: 5837 cancer deaths following a diagnosis of incident cancer (78.8%), 613 cardiovascular deaths (8.3%), and 961 other causes (12.9%). After censoring the follow-up of women with out-of-date medication inventories, 3152 cancer deaths were included in the primary analysis of current vs never statin users (709 current statin users and 2443 non-users). Table 1, and Supplementary Tables 1 and 2 display baseline characteristics.
Table 1

Participants' characteristics in the Women's Health Initiative Clinical Trial and Observational Study by statin use (current vs never)a at time of cancer diagnosis (N=17 285b)

 Current statin use (N=4025)
Never used statins (N=13 260)
 
 N%N%P-valuec
Age at screening (years)    <0.001
 50–59112327.9397330.0 
 60–69208951.9622847.0 
 70–7981320.2305923.1 
Age at incident cancer    <0.001
 <70133833.2670650.6 
 70 to <80203050.4529539.9 
 ⩾8065716.312599.5 
Tumour stage    0.001
In situ61315.9173213.8 
 Local192449.8620349.4 
 Regional70218.2255220.3 
 Distant62316.1207916.5 
Race/ethnicity    0.15
 White351787.411 70188.2 
 Black2616.58326.3 
 Hispanic862.13102.3 
 American Indian160.4380.3 
 Asian/Pacific Islander922.32341.8 
 Unknown531.31451.1 
Education    <0.001
 High school/GED or less89922.5261719.9 
 School after high school153438.3481236.5 
 College degree or higher157039.2574643.6 
BMI, baseline (kg m−2)    <0.001
 <25106526.7474536.1 
 25 to <30147437.0446833.9 
 30 to <3588222.1242718.4 
 ⩾3556814.2152211.6 
Smoking status    0.75
 Never182946.0611546.7 
 Past181745.7590445.1 
 Current3268.210748.2 
Vitamin D intake (IU)    0.97
 <200141836.2469036.1 
 200 to <40073718.8248319.1 
 400 to <60098125.0322924.9 
 ⩾60078420.0257719.9 
Alcohol intake    <0.001
 Non/past drinker112128.1325224.7 
 <1 drink per week137634.5436733.2 
 1–<7 drinks per week98624.7365627.8 
 ⩾7 drinks per week51112.8189014.4 
Physical activity (MET—min)    0.03
 <10082421.7268321.6 
 100 to <500112729.7342027.5 
 500 to <1200108128.4362029.1 
 ⩾120076820.2270921.8 
Has current health-care provider384596.112 40194.3<0.001
Mammogram within last 2 years346588.110 82284.1<0.001
Hysterectomy at randomisation152637.9470235.50.005
Unopposed oestrogen use status    0.64
 Never used266866.4875266.1 
 Past user50912.7175213.2 
 Current user84321.0274620.7 
Oestrogen+progesterone use status    <0.001
 Never used293472.9916669.2 
 Past user3408.511238.5 
 Current user74818.6296422.4 
Age at menarche    0.31
 <1289422.3290022.0 
 12–13226256.4733655.6 
 ⩾1485621.3297022.5 
Oral contraceptive use ever167241.5545141.10.63
CHD before cancer diagnosis68017.07565.7<0.001
Diabetes before cancer diagnosis72518.08656.5<0.001
Family history of cancer263968.4888869.80.12
Aspirin use113628.2257319.4<0.001
NSAIDs168441.8447833.8<0.001
DM trial    0.03
 Comparison101162.8298559.6 
 Intervention60037.2202040.4 
CEE+MPA trial    0.007
 Comparison28352.781946.1 
 Intervention25447.395753.9 
CEE trial    0.04
 Comparison17956.542349.6 
 Intervention13843.543050.4 
CaD trial    0.15
 Comparison63853.1185650.7 
 Intervention56346.9180349.3 
Clinical trial participant221855.1683051.5<0.001
 Mean(s.d.)Mean(s.d.)P-value
Age (years)63.6(6.5)63.7(7.0)0.37
Fruit and vegetable consumptiond4.0(4.0)4.1(2.1)0.004
Red meat consumptiond0.7(0.5)0.7(0.6)0.27
General health (0 worst–100 best)73.6(17.2)75.9(16.7)<0.001

Abbrviations: BMI=body mass index; CaD=calcium + Vitamin D; CEE=conjugated equine estrogen; CHD=coronary heart disease; DM=dietary Modification; GED=general education development; MET=metabolic equivalent; MPA=medroxyprogesterone acetate; NSAID=nonsteroidal anti-inflammatory drugs.

Statin (current vs never) were the exposure groups of interest for the primary analysis.

At the time of incident cancer, 23 067 participants were at risk for death and included in the primary analyses. Of these, 4025 participants were currently taking statins; 13 260 participants never used statins; 397 participants had reported using statins at baseline or follow-up, but were not currently taking statins; and 5385 participants had medication inventories that were out of date, so their follow-up was censored. Exposure groups were modelled as a time-dependent exposure, so a participants' group status may change during follow-up (e.g., participants with an out-of-date inventory were allowed to re-enter the model when a current medications inventory was collected).

On the basis of χ2-test of association for categorical variables and t-test for continuous variables.

Medium servings per day.

Current statin use was associated with lower risk of cancer death compared with never-use (HR, 0.78; 95% CI, 0.71–0.86; P<0.001; Figure 1), and lower risk of all-cause mortality (HR, 0.80; 95% CI, 0.74–0.88). The lower risk of cancer death associated with statin use did not depend on statin potency (P-interaction (int)=0.22), category (P-int=0.43), type (P-int=0.34), or duration (P-int=0.33). Other lipid-lowering medications, used alone, were associated with a similar reduction in cancer deaths compared with monotherapy statin use (P-int=0.57). Prior statin users were not at lower risk of cancer death compared with never-users (HR, 1.06; 95% CI, 0.85–1.33).
Figure 1

Number of cancer deaths (annualised %) and multivariable-adjusted HR (95% CI) for statin use (current Annualised percentages by exposure group (time dependent) were computed by dividing the total number of cancer deaths, by the corresponding cumulative person-time since cancer diagnosis, for each exposure group. Cox regression models were adjusted for age at baseline, race/ethnicity, education, smoking, body mass index (BMI), physical activity, family history of cancer, current health-care provider, oral contraception use, prior unopposed oestrogen use, prior oestrogen plus progestin use, solar irradiance (latitude), prior CHD history, prior diabetes history, randomisation into the CaD trial, age at menarche, and stratified by age group, study groups (randomisation arms of the HT trials, DM trial, and OS enrolment) and enrolment in WHI extensions (I/II). *Annualised percentage. **Significance test of the main effect or test of heterogeneity between non-referent exposure groups. †Test of heterogeneity between atorvastatin, simvastatin, lovastatin, and pravastatin. ‡Analysis of statin duration included only CT participants; at the time of cancer diagnosis, among current statin users (n=2218), 893 (40.3%) used statins <3 years, 539 (24.3%) 3 to <5 years, 593 (26.7%) 5 to <10 years, and 193 (8.7%) 10+ years. Test of heterogeneity based on a 1 degree-of-freedom test for trend. ^Test of heterogeneity between statin use and other use.

Statin use was associated with a significantly lower risk of multiple, but not all cancer types (P-int=0.001; Figure 2). With the exception of current NSAID use (which attenuated the effect of statins), current statin use was not modified by any other subgroups (Supplementary Figure 2).
Figure 2

Number of cancer deaths (annualised %) and multivariable-adjusted HR (95% CI) for statin use (current Summary statistics are from a Cox regression model, using cause-specific baseline hazard functions, with the covariate adjustments described above. *Corresponds to a significance test of the main effect, or an 11-df test of heterogeneity for cause of cancer death. To avoid double counting, test of heterogeneity is between the main causes of death listed and does not include subtypes (i.e., cancer of the pancreas or other digestive organs, non-Hodgkins lymphoma, and leukaemia). ^Only participants without a baseline hysterectomy were used to compute the number of cases and annualised rates. There was one endometrial cancer case among the group of no statin use that reported having had a hysterectomy.

In a secondary analysis on cancer incidence, beginning at enrolment, statin use was not associated with a reduction of incident cancer (HR, 0.96; 95% CI, 0.92–1.001; P=0.056).

Discussion

In this prospective cohort study, we found that current statin use in postmenopausal women with cancer was associated with lower risk of cancer death. Use of other lipid-lowering medications was also associated with a lower risk of cancer death; this finding suggests that a reduction in circulating cholesterol levels may mediate increased cancer survival. However, a dose–response relationship was not found, suggesting that results should be interpreted cautiously. Multiple molecular mechanisms have been linked to statins and cancer, including the mevalonate pathway (Fenton ; Herold ; Deberardinis ; Boudreau ), G-proteins (Wong ; Demierre ), isoprenoid-mediated suppression (Wong ), the RAF-mitogen-activated protein kinase 1 pathway (Wu ), and anti-angiogenic properties of statins (Weis ).

Comparison with other studies

Our study results are similar to findings from a retrospective nationwide Danish study, which found a statistically significant 15% reduction in all-cancer mortality among patients who used statins before cancer diagnosis (Nielsen ). Our analysis is additionally strengthened by its prospective format, ethnically heterogeneous population, and covariate data. In addition, other studies of specific cancers in women (including breast and uterine) have suggested the protective effects of statins on cancer mortality and survival (Murtola ; Cardwell ; Nevadunsky ). Also, some prospective cohort studies of cardiovascular disease have found associations between lower cholesterol levels and lower risk of death from several cancers (Cambien ; Kagan ; Keys ). However, several smaller studies and RCTs have found no significant associations. A meta-analysis of 27 RCTs in the Cholesterol Treatment Trialists' (CTT) Collaborators (2015) database did not find an association with cancer mortality or incidence; however, the study used the time from randomisation rather than the time from incident cancer. A meta-analysis of 26 RCTs also found no effect of statin use on cancer incidence or survival (Dale ). These conflicting results suggest the need for additional prospective studies and larger RCTs, particularly with cancer survival as the primary outcome. Cancer incidence has been studied more extensively than cancer survival in relation to statin use, but results on the subject have been mixed (Bjerre and LeLorier, 2001; Bonovas ; Browning and Martin, 2007; Kuoppala ; Haukka ; Jagtap ; Simon ; Desai ; Singh and Singh, 2013; Tan ). Similarly, biomarker-based studies of statins as candidate breast cancer chemoprevention agents have shown mixed results (Higgins ; Bjarnadottir ; Vinayak ).

Strengths and limitations

The strengths of this study include its prospective nature, large size and geographic distribution, adjudication of cancer cases, and detailed information on confounders and exposures. Limitations of the study include the fact that medication use was not continuously updated, observational format, and majority Caucasian participants. The study may not be generalisable to populations other than postmenopausal women with similar age at cancer diagnosis. Residual confounding or reverse causation bias may be present. Healthy user bias due to socioeconomic factors may also present in this analysis; however, this should be reduced as WHI data allow for rich covariate adjustment. In addition, the effect of statin use on cancer survival remained significant even with sensitivity analyses including tumour stage, physical functioning, and mammogram use.

Conclusions

In conclusion, in a prospective cohort of postmenopausal women, current use of statins and other cholesterol-lowering medications was associated with increased all-cancer survival, as well as increased survival of multiple cancer types. These findings, along with the previous Danish cohort study, suggest that statin use and/or lower cholesterol levels may have a protective effect on cancer death. Further research is needed in an RCT format to better control for healthy user bias and to study cancer as a primary outcome.
  42 in total

1.  Outcomes ascertainment and adjudication methods in the Women's Health Initiative.

Authors:  J David Curb; Anne McTiernan; Susan R Heckbert; Charles Kooperberg; Janet Stanford; Michael Nevitt; Karen C Johnson; Lori Proulx-Burns; Lisa Pastore; Michael Criqui; Sandra Daugherty
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

2.  Implementation of the Women's Health Initiative study design.

Authors:  Garnet L Anderson; Joann Manson; Robert Wallace; Bernedine Lund; Dallas Hall; Scott Davis; Sally Shumaker; Ching-Yun Wang; Evan Stein; Ross L Prentice
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

Review 3.  Statins are associated with reduced risk of gastric cancer: a systematic review and meta-analysis.

Authors:  P P Singh; S Singh
Journal:  Ann Oncol       Date:  2013-04-18       Impact factor: 32.976

Review 4.  Statins and risk of cancer: a systematic review and metaanalysis.

Authors:  Danielle R L Browning; Richard M Martin
Journal:  Int J Cancer       Date:  2007-02-15       Impact factor: 7.396

5.  Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials.

Authors:  Jordan Fulcher; Rachel O'Connell; Merryn Voysey; Jonathan Emberson; Lisa Blackwell; Borislava Mihaylova; John Simes; Rory Collins; Adrienne Kirby; Helen Colhoun; Eugene Braunwald; John La Rosa; T R Pedersen; Andrew Tonkin; Barry Davis; Peter Sleight; Maria Grazia Franzosi; Colin Baigent; Anthony Keech
Journal:  Lancet       Date:  2015-01-09       Impact factor: 79.321

6.  Serum cholesterol and mortality in a Japanese-American population: the Honolulu Heart program.

Authors:  A Kagan; D L McGee; K Yano; G G Rhoads; A Nomura
Journal:  Am J Epidemiol       Date:  1981-07       Impact factor: 4.897

Review 7.  Statins and breast cancer: may matrix metalloproteinase be the missing link.

Authors:  Ferdinando Mannello; Gaetana A Tonti
Journal:  Cancer Invest       Date:  2009-05       Impact factor: 2.176

Review 8.  Statins, stem cells, and cancer.

Authors:  Kalamegam Gauthaman; Chui-Yee Fong; Ariff Bongso
Journal:  J Cell Biochem       Date:  2009-04-15       Impact factor: 4.429

9.  Regulation of intracellular actin polymerization by prenylated cellular proteins.

Authors:  R G Fenton; H F Kung; D L Longo; M R Smith
Journal:  J Cell Biol       Date:  1992-04       Impact factor: 10.539

10.  A clinical trial of lovastatin for modification of biomarkers associated with breast cancer risk.

Authors:  Shaveta Vinayak; Erich J Schwartz; Kristin Jensen; Jafi Lipson; Elizabeth Alli; Lisa McPherson; Adrian M Fernandez; Vandana B Sharma; Ashley Staton; Meredith A Mills; Elizabeth A Schackmann; Melinda L Telli; Ani Kardashian; James M Ford; Allison W Kurian
Journal:  Breast Cancer Res Treat       Date:  2013-10-29       Impact factor: 4.624

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  39 in total

Review 1.  Effect of Metformin and Statin Use on Survival in Pancreatic Cancer Patients: a Systematic Literature Review and Meta-analysis.

Authors:  Judith M Graber; Shou-En Lu; Yong Lin; Grace Lu-Yao; Xiang-Lin Tan
Journal:  Curr Med Chem       Date:  2018       Impact factor: 4.530

2.  Differential and Joint Effects of Metformin and Statins on Overall Survival of Elderly Patients with Pancreatic Adenocarcinoma: A Large Population-Based Study.

Authors:  Jian-Yu E; Shou-En Lu; Yong Lin; Judith M Graber; David Rotter; Lanjing Zhang; Gloria M Petersen; Kitaw Demissie; Grace Lu-Yao; Xiang-Lin Tan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-06-15       Impact factor: 4.254

Review 3.  Statin Therapy: Review of Safety and Potential Side Effects.

Authors:  Satish Ramkumar; Ajay Raghunath; Sudhakshini Raghunath
Journal:  Acta Cardiol Sin       Date:  2016-11       Impact factor: 2.672

4.  Statin use and breast cancer survival: a nationwide cohort study in Scotland.

Authors:  Úna C Mc Menamin; Liam J Murray; Carmel M Hughes; Chris R Cardwell
Journal:  BMC Cancer       Date:  2016-08-04       Impact factor: 4.430

5.  Biomarker identification for statin sensitivity of cancer cell lines.

Authors:  Vineet K Raghu; Colin H Beckwitt; Katsuhiko Warita; Alan Wells; Panayiotis V Benos; Zoltán N Oltvai
Journal:  Biochem Biophys Res Commun       Date:  2017-11-14       Impact factor: 3.575

6.  Statin use and risk of skin cancer.

Authors:  Brian M Lin; Wen-Qing Li; Eunyoung Cho; Gary C Curhan; Abrar A Qureshi
Journal:  J Am Acad Dermatol       Date:  2017-12-05       Impact factor: 11.527

Review 7.  Protective Effects of Statins in Cancer: Should They Be Prescribed for High-Risk Patients?

Authors:  Ange Wang; Heather A Wakelee; Aaron K Aragaki; Jean Y Tang; Allison W Kurian; JoAnn E Manson; Marcia L Stefanick
Journal:  Curr Atheroscler Rep       Date:  2016-12       Impact factor: 5.113

8.  Association of Statin Use and High Serum Cholesterol Levels With Risk of Primary Open-Angle Glaucoma.

Authors:  Jae H Kang; Tahani Boumenna; Joshua D Stein; Anthony Khawaja; Bernard A Rosner; Janey L Wiggs; Louis R Pasquale
Journal:  JAMA Ophthalmol       Date:  2019-07-01       Impact factor: 7.389

9.  Epidemiologic Analysis Along the Mevalonate Pathway Reveals Improved Cancer Survival in Patients Who Receive Statins Alone and in Combination With Bisphosphonates.

Authors:  Sherif M El-Refai; Joshua D Brown; Susanne M Arnold; Esther P Black; Markos Leggas; Jeffery C Talbert
Journal:  JCO Clin Cancer Inform       Date:  2017-11

10.  Association between occurrence of urinary bladder cancer and treatment with statin medication.

Authors:  Erik Lundberg; Oskar Hagberg; Staffan Jahnson; Borje Ljungberg
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