INTRODUCTION
The incidence of breast cancer (BC) ranked second among women worldwide, as well as in China, with a 3% increase per year. To date, World Health Organization/Food and Agriculture Organization recommends that the total saturated fatty acid (SFA) intake should be controlled within 10% of total daily energy for adults. Among the dietary SFAs, the common groups are myristic acid, palmitic acid, and stearic acid, which may be involved in the regulation of raising low-density lipoprotein-cholesterol and high-density lipoprotein-cholesterol.
However, the relationship between dietary SFA intake and the incidence of BC remains uncertain. For example, the meta-analysis conducted by Boyd et al indicated a positive association between higher intake of SFA and BC risk (n = 34; highest vs bottom category; relative risk [RR] = 1.19; 95% confidence interval [CI]: 1.06–1.35). In contrast, Smith-Warner et al reported null associations (n = 8; highest vs bottom quartile; RR = 1.01; 95% CI: 0.89–1.16). Moreover, a cohort study in Japan was performed. And the total mortality of Japanese women was inverse to the intake of SFA (hazard ratio [HR] [95% CI] = 0.91 [0.83–1.00]). Due to different races background, people have varied eating habits. And menopausal processes and postmenopausal endocrine events can affect the development of BC. Nevertheless, none of the aforementioned publications included any subgroup analyses, such as ethnicity, population (hospital)-based females, menopausal status, and so on. Hence, the objective of the present study was to further investigate the association between dietary SFA intake and the incidence of BC with the more detailed analyses among observational studies.
MATERIALS AND METHODS
We followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines to conduct this meta-analysis. Ethical approval was not necessary, because all publications included in this study were published officially.
Literature Search
We systematically searched the literatures published in English in Pubmed, Web of Science up to April 2015, using search terms: (“dietary fat” or “saturated fatty acid,” or “saturated fat”) and (“breast” or “mammary”) and (“tumor” or “carcinoma” or “neoplasm”). The search was restricted to human studies. Reference lists from each study, systematic reviews and meta-analyses were reviewed to identify potential relevant literatures as well.
Inclusion and Exclusion Criteria
Two investigators independently reviewed these studies. Studies were included when the following criteria were met: published openly; evaluated the association between SFA intake from food and the incidence of female BC only; specified diagnosis of BC; contained odds ratios (ORs), RRs, or HRs with corresponding 95%CIs or data could be estimated; and selected when data were most sufficient if they were from the same population. Studies were excluded when they were: animal or vitro experiments, review articles, repeated literatures, or mechanism studies; not related to human subjects; not of appropriate control groups; without analysis method provided; and were excluded when lack of access to full texts.
Data Extraction and Quality Assessment
We obtained from each study the information on author's name, publication year, country, community, or study design based on hospital, dietary assessment method, and outcomes (RRs/ORs/HRs [95% CIs]). Ethnicity was classified as Asian and Caucasian. ORs, RRs, or HRs were extracted only when articles employed adjusted models with most confounders in original publications. The estimates from 1 study were recorded as much as possible including premenopausal and postmenopausal population. Newcastle-Ottawa Scale was used to evaluate quality of literatures independently by 2 investigators. The literatures with scores ≥5 were included in the meta-analysis.
Statistical Analyses
We used STATA (version 11.0, StataCorp, College Station, TX) to perform the meta-analysis. We used RR as an approximate for HR in cohort studies. First, adjusted ORs or RRs comparing highest versus lowest category of dietary SFA intake were gathered with the corresponding 95% CIs as possible and meanwhile were calculated by the logarithmic transformation of RRs and ORs with the corresponding 95% CIs. As described in previous study, the fixed-effects model was used when I2 was lower than 50% and P of the value of heterogeneity was ≥0.05. Otherwise we used the random-effects model. Second, we conducted subgroup analyses by ethnicity (Asian, Caucasian), menopause status (premenopause, postmenopause), and study type (population, hospital-based). Finally, Begg funnel-plot and Egger test were conducted to examine publication bias with significance when the value of P is <0.05.
RESULTS
Literature Search and Study Characteristics
The flow chart for selected articles was shown in Figure 1. A total of 4589 publications were found through electronic search after removing those duplicates. A total of 4523 articles are most reviews, animal and vitro experiments. Finally, 52 articles (24 cohort studies and 28 case–control studies) were eligible for this meta-analysis after checking the full text while 14 articles were excluded for additional reasons.

FIGURE 1
Flow diagram for selected articles (case–control and cohort study).
Characteristics of 52 studies were shown in Table 1. Among cohort studies, a total number of 1,786,537 subjects had been followed up ranging from 3.3 to 20 years with 35,651 diagnosed with BC. Among case–control studies it contained 17,015 cases and 22,192 controls. Food frequency questionnaires were most frequently used to evaluate dietary SFA intake. Information of 35 studies included was from community only, information of 16 studies was from hospital simply and 1 was from both community and hospital. Eight studies were reported from Asian only, 40 were from Caucasian simply, and 2 were from Caucasian and Asian. Newcastle-Ottawa Scale scores of all studies ranged from 5 to 8 and 96.2% publications’ scores were ≥6.
Highest Versus Lowest Intake of Meta-Analysis
We analyzed cohort and case–control studies separately owing to the relatively higher incidence of BC.
The forest plots of 52 studies together were shown in Figures 2 and 3. Intake ratio of dietary SFA was not associated with BC risk for the high versus low intake (RR [95% CI] = 1.04 [0.97–1.11]) for cohort studies. A random-effects model was applied to case–control studies and it revealed significantly positive association (OR [95% CI] = 1.18 [1.03–1.34]).

FIGURE 2
Forest plot for cohort studies.

FIGURE 3
Forest plot for all case–control studies.
Subgroup Analyses
Menopause Status
In addition, following subgroup analyses, menopause status affected the risk of BC among case–control studies. SFA intake increased the risk among postmenopausal women and was not related to premenopausal women (details shown in Table 2). However, null associations were observed among cohort studies when stratified by menopause status.
Recruit Source and Ethnicity
Significant relationship of were observed for the population-based studies (cohort study: RR [95%CI] = 1.11 [1.01–1.21]; case–control study: OR [95%CI] = 1.26 [1.03–1.53]). However, as for hospital-based study, higher SFA intake was not associated with BC risk.
Additionally, only case–control study was conducted by ethnicity. As for cohort studies, most of which were from the same race. Publications suggested that higher SFA intake could increase the risk of BC (Asian: OR [95%CI] = 1.17 [1.02–1.34]; Caucasian: OR [95%CI] = 1.19 [1.00–1.41]).
Sensitivity Analyses and Publication Bias
Sensitivity analyses were conducted to evaluate the effect of excluding any individual study. By exclusion of 1 literature at a time in turns, summary results of remained literatures did not substantially change.
Begg funnel-plot and Egger test were used to examine the potential publication bias. All funnel plots indicated no evidence of possible publication bias (shown in Figures 4 and 5). Egger test also showed the lack of publication bias for all studies (shown in Table 2).

FIGURE 4
Begg funnel plot for publication bias analyze for cohort study.

FIGURE 5
Begg funnel plot for publication bias analyze for case–control study.
DISCUSSION
In this meta-analysis of observational studies concerning dietary SFA intake and incidence of BC, comparison of high versus low intake of dietary SFA among case–control studies showed that it increased the BC risk while it turned out to be irrelevant among cohort studies. In the following subgroup analyses among case–control studies, we observed positive association in population-based studies along with postmenopausal females. Moreover, when ethnicity was taken into consideration, case–control studies indicated that higher intake of SFA increased the risk of BC.
Compared to the previous publications of meta-analysis, it has both similarities and differences. A previous meta-analysis of prospective studies arrived the parallel conclusion with the present meta-analysis. Another meta analysis demonstrated when higher SFA consumption promoted the initiation of BC in both cohort and case-control studies. There were potential reasons for the results. First, in the present study, larger sample size was included and meanwhile literatures were updated. Second, studies used different standards to extract data, so the outcomes differed. Additionally, subgroup-analysis was performed to evaluate menopause status, ethnicity, and study type compared to meta-analysis above.
Micha and Mozaffarian reviewed RCTs and clarified that specific SFA chain-length had different effects on TC/high-density lipoprotein-cholesterol ratio. Compared to carbohydrate, myristic, palmitic, and stearic acid were not associated with the change of the ratio, but it seemed that stearic acid played a positive role in increasing the ratio. In the EPIC study, Forouhi et al emphasized the importance of different individual plasma phospholipid SFAs, and found that even-chain SFA (myristic acid, palmitic acid, and stearic acid) increased the risk of disease and odd-chain decreased the risk. In the vitro study, Hardy et al observed SFA palmitate inhibited BC cells and resulted in the apoptosis, and unsaturated fatty acid promoted the process of proliferation simultaneously. Together, BC is not only related to dietary SFA intake but more associated with the free fatty acid in organism. Determination of internal metabolites of SFA may help us understand the occurrence and development of BC clearly.
Our meta-analysis consists of some limitations. First, only the literatures published in English were included. Several unpublished null articles may be missing because of study with positive results which were searched easier. Second, possible bias may contain in case–control studies, such as selection bias and recall bias with the contribution of different results of population or hospital-based design. Although, all of our studies considered the confounding factors, such as sex, age, education, BMI, energy intake, smoking, drinking, and nutrient intake, and they reduced the effect of confounding factors to some degree. We still cannot explain potential effects of other dietary habits or behavior and asserted etiology relationship between dietary SFA intake and BC events. The exact mechanisms are not well-established whereby higher SFA intake increasing risk of BC. Since reform and openness, the Chinese have obtained better life conditions and meanwhile their dietary patterns have been changing all the time with tendency to western countries. Hence, we increased our dietary fat intake rapidly, especially saturated fat. Additionally, only 6 articles of subgroup analyses conducted in Asia were referred in our meta-analysis. Small sample size may contribute to the heterogeneity. As for recruit source, due to selection bias, subjects from hospital may result in significant association and different results between case–control and cohort studies. Besides, subjects from hospital are not more representative when compared to the population-based ones.
In conclusion, relationship was found between SFA intake and incidence of BC in case–control studies, and a positive association between higher dietary SFA intake and postmenopausal BC risk was observed in case–control but not in cohort studies. In future, dietary fatty acid intake and serum fatty acid level should be combined to analyze the more detailed relationship with BC.
Acknowledgements
The authors thank Instructor Xuehong Zhang (Brigham and Women's Hospital [BWH], Harvard Medical School [HMS], Boston, MA) for grammatical revision. The authors also thank the supports from the National Natural Science Foundation (No. 81001244 and 81573144). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
REFERENCES
- 1.
- 2.
- 3. Hong W, Dong E. The past, present and future of breast cancer research in China. Cancer Lett 2014; 351:1–5.
- 4.
- 5. Nicholls SJ, Lundman P, Harmer JA, et al. Consumption of saturated fat impairs the anti-inflammatory properties of high-density lipoproteins and endothelial function. J Am Coll Cardiol 2006; 48:715–720.
- 6. Mustad VA, Etherton TD, Cooper AD, et al. Reducing saturated fat intake is associated with increased levels of LDL receptors on mononuclear cells in healthy men and women. J Lipid Res 1997; 38:459–468.
- 7. Boyd NF, Stone J, Vogt KN, et al. Dietary fat and breast cancer risk revisited: a meta-analysis of the published literature. Br J Cancer 2003; 89:1672–1685.
- 8. Smith-Warner SA, Spiegelman D, Adami HO, et al. Types of dietary fat and breast cancer: a pooled analysis of cohort studies. Int J Cancer 2001; 92:767–774.
- 9. Wakai K, Naito M, Date C, et al. Dietary intakes of fat and total mortality among Japanese populations with a low fat intake: the Japan Collaborative Cohort (JACC) Study. Nutr Metab (Lond) 2014; 11:12.
- 10. Vincent AJ. Management of menopause in women with breast cancer. Climacteric 2015; 18:690–701.
- 11. Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000; 283:2008–2012.
- 12.
- 13. Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ (Clin Res Ed) 2003; 327:557–560.
- 14. Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ (Clin Res Ed) 1997; 315:629–634.
- 15. Peters JL, Sutton AJ, Jones DR, et al. Comparison of two methods to detect publication bias in meta-analysis. JAMA 2006; 295:676–680.
- 16. Jones DY, Schatzkin A, Green SB, et al. Dietary-fat and breast-cancer in the National-Health and Nutrition Examination Survey-I Epidemiologic Follow-Up-Study. J Natl Cancer Inst 1987; 79:465–471.
- 17. Knekt P, Albanes D, Seppanen R, et al. Dietary-fat and risk of breast-cancer. Am J Clin Nutr 1990; 52:903–908.
- 18. Howe GR, Friedenreich CM, Jain M, et al. A cohort study of fat intake and risk of breast-cancer. J Natl Cancer Inst 1991; 83:336–340.
- 19. Willett WC, Hunter DJ, Stampfer MJ, et al. Dietary-fat and fiber in relation to risk of breast-cancer – an 8-year follow-up. JAMA-J Am Med Assoc 1992; 268:2037–2044.
- 20. van den Brandt PA, Vantveer P, Goldbohm RA, et al. A prospective cohort study on dietary-fat and the risk of postmenopausal breast-cancer. Cancer Res 1993; 53:75–82.
- 21. Toniolo P, Riboli E, Shore RE, et al. Consumption of meat, animal products, protein, and fat and risk of breast-cancer – a prospective cohort study in New-York. Epidemiology 1994; 5:391–397.
- 22. Gaard M, Tretli S, Loken EB. Dietary-fat and the risk of breast-cancer a prospective-study of 25,892 Norwegian women. Int J Cancer 1995; 63:13–17.
- 23. Wolk A, Bergstrom R, Hunter D, et al. A prospective study of association of monounsaturated fat and other types of fat with risk of breast cancer. Arch Inter Med 1998; 158:41–45.
- 24. Holmes MD, Hunter DJ, Colditz GA, et al. Association of dietary intake of fat and fatty acids with risk of breast cancer. JAMA-J Am Med Assoc 1999; 281:914–920.
- 25. Velie E, Kulldorff M, Schairer C, et al. Dietary fat, fat subtypes, and breast cancer in postmenopausal women: a prospective cohort study. J Natl Cancer Inst 2000; 92:833–839.
- 26. Byrne C, Rockett H, Holmes MD. Dietary fat, fat subtypes, and breast cancer risk: lack of an association among postmenopausal women with no history of benign breast disease. Cancer Epidem Biomar 2002; 11:261–265.
- 27. Voorrips LE, Brants HAM, Kardinaal AFM, et al. Intake of conjugated linoleic acid, fat, and other fatty acids in relation to postmenopausal breast cancer: the Netherlands Cohort Study on Diet and Cancer. Am J Clin Nutr 2002; 76:873–882.
- 28. Bingham SA, Luben R, Welch A, et al. Are imprecise methods obscuring a relation between fat and breast cancer? Lancet 2003; 362:212–214.
- 29. Cho EY, Spiegelinan D, Hunter DJ, et al. Premenopausal fat intake and risk of breast cancer. J Natl Cancer Inst 2003; 95:1079–1085.
- 30. Frazier AL, Li L, Cho EY, et al. Adolescent diet and risk of breast cancer. Cancer Cause Control 2004; 15:73–82.
- 31. Wakai K, Tamakoshi K, Date C, et al. Dietary intakes of fat and fatty acids and risk of breast cancer: a prospective study in Japan. Cancer Sci 2005; 96:590–599.
- 32. Kim EH, Willett WC, Colditz GA, et al. Dietary fat and risk of postmenopausal breast cancer in a 20-year follow-up. Am J Epidemiol 2006; 164:990–997.
- 33. Lof M, Sandin S, Lagiou P, et al. Dietary fat and breast cancer risk in the Swedish women's lifestyle and health cohort. Brit J Cancer 2007; 97:1570–1576.
- 34. Thiebaut ACM, Kipnis V, Chang S-C, et al. Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort. J Natl Cancer Inst 2007; 99:451–462.
- 35. Sieri S, Krogh V, Ferrari P, et al. Dietary fat and breast cancer risk in the European Prospective Investigation into Cancer and Nutrition. Am J Clin Nutr 2008; 88:1304–1312.
- 36. Park S-Y, Kolonel LN, Henderson BE, et al. Dietary fat and breast cancer in postmenopausal women according to ethnicity and hormone receptor status: the multiethnic cohort study. Cancer Prev Res 2012; 5:216–228.
- 37. Sczaniecka AK, Brasky TM, Lampe JW, et al. Dietary intake of specific fatty acids and breast cancer risk among postmenopausal women in the VITAL cohort. Nutr Cancer 2012; 64:1131–1142.
- 38. Boeke CE, Eliassen AH, Chen WY, et al. Dietary fat intake in relation to lethal breast cancer in two large prospective cohort studies. Breast Cancer Res Tr 2014; 146:383–392.
- 39. Farvid MS, Cho E, Chen WY, et al. Premenopausal dietary fat in relation to pre- and post-menopausal breast cancer. Breast Cancer Res Tr 2014; 145:255–265.
- 40. Hirohata T, Nomura AMY, Hankin JH, et al. An epidemiologic-study on the association between diet and breast-cancer. J Natl Cancer Inst 1987; 78:595–600.
- 41. Rohan TE, McMichael AJ, Baghurst PA. A population-based case-control study of diet and breast-cancer in Australia. Am J Epidemiol 1988; 128:478–489.
- 42. Toniolo P, Riboli E, Protta F, et al. Calorie-providing nutrients and risk of breast-cancer. J Natl Cancer Inst 1989; 81:278–286.
- 43. Yu SZ, Lu RF, Xu DD, et al. A case-control study of dietary and nondietary risk-factors for breast-cancer in Shanghai. Cancer Res 1990; 50:5017–5021.
- 44. Graham S, Hellmann R, Marshall J, et al. Nutritional epidemiology of postmenopausal breast-cancer in Western New-York. Am J Epidemiol 1991; 134:552–1552.
- 45. Ingram DM, Nottage E, Roberts T. The role of diet in the development of breast-cancer – a case-control study of patients with breast-cancer, benign epithelial hyperplasia and fibrocystic disease of the breast. Brit J Cancer 1991; 64:187–191.
- 46. Lee HP, Gourley L, Duffy SW, et al. Dietary-effects on breast-cancer risk in Singapore. Lancet 1991; 337:1197–1200.
- 47. Richardson S, Gerber M, Cenee S. The role of fat, animal protein and some vitamin consumption in breast-cancer – a case control study in Southern France. Int J Cancer 1991; 48:1–9.
- 48. Zaridze D, Lifanova Y, Maximovitch D, et al. Diet, alcohol-consumption and reproductive factors in a case-control study of breast-cancer in Moscow. Int J Cancer 1991; 48:493–501.
- 49. Katsouyanni K, Trichopoulou A, Stuver S, et al. The association of fat and other macronutrients with breast-cancer – a case-control study from Greece. Brit J Cancer 1994; 70:537–541.
- 50. Landa MC, Frago N, Tres A. Diet and the risk of breast cancer in Spain. Eur J Cancer Prevent 1994; 3:313–320.
- 51. Martinmoreno JM, Willett WC, Gorgojo L, et al. Dietary-fat, olive oil intake and breast-cancer risk. Int J Cancer 1994; 58:774–780.
- 52. Yuan JM, Wang QS, Ross RK, et al. Diet and breast-cancer in Shanghai and Tianjin, China. Brit J Cancer 1995; 71:1353–1358.
- 53. Witte JS, Ursin G, Siemiatycki J, et al. Diet and premenopausal bilateral breast cancer: a case-control study. Breast Cancer Res Tr 1997; 42:243–251.
- 54. Cade J, Thomas E, Vail A. Case-control study of breast cancer in south east England: nutritional factors. J Epidemiol Community Health 1998; 52:105–110.
- 55. Challier B, Perarnau JM, Viel JF. Garlic, onion and cereal fibre as protective factors for breast cancer: a French case-control study. Eur J Epidemiol 1998; 14:737–747.
- 56. De Stefani E, Deneo-Pellegrini H, Mendilaharsu M, et al. Essential fatty acids and breast cancer: a case-control study in Uruguay. Int J Cancer 1998; 76:491–494.
- 57. Franceschi S, Favero A. The role of energy and fat in cancers of the breast and colon-rectum in a Southern European population. Ann Oncol 1999; 10:61–63.
- 58. Sieri S, Krogh V, Muti P, et al. Fat and protein intake and subsequent breast cancer risk in postmenopausal women. Nutr Cancer 2002; 42:10–17.
- 59. Do MH, Lee SS, Jung PJ, et al. Intake of dietary fat and vitamin in relation to breast cancer risk in Korean women: a case-control study. J Korean Med Sci 2003; 18:534–540.
- 60. Alothaimeen A, Ezzat A, Mohamed G, et al. Dietary fat and breast cancer in Saudi Arabia: a case-control study. East Mediterr Health J 2004; 10:879–886.
- 61. Freedman LS, Potischman N, Kipnis V, et al. A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol 2006; 35:1011–1021.
- 62. Garcia-Segovia P, Sanchez-Villegas A, Doreste J, et al. Olive oil consumption and risk of breast cancer in the Canary Islands: a population-based case-control study. Public Health Nutr 2006; 9 (1a):163–167.
- 63. Kallianpur AR, Lee SA, Gao YT, et al. Dietary animal-derived iron and fat intake and breast cancer risk in the Shanghai Breast Cancer Study. Breast Cancer Res Treat 2008; 107:123–132.
- 64. Wang J, John EM, Horn-Ross PL, et al. Dietary fat, cooking fat, and breast cancer risk in a multiethnic population. Nutr Cancer 2008; 60:492–504.
- 65. Key TJ, Appleby PN, Cairns BJ, et al. Dietary fat and breast cancer: comparison of results from food diaries and food-frequency questionnaires in the UK Dietary Cohort Consortium. Am J Clin Nutr 2011; 94:1043–1052.
- 66. Sulaiman S, Shahril MR, Shaharudin SH, et al. Fat intake and its relationship with pre- and post-menopausal breast cancer risk: a case-control study in Malaysia. Asian Pac J Cancer Prevent 2011; 12:2167–2178.
- 67. Zhang CX, Ho SC, Lin FY, et al. Dietary fat intake and risk of breast cancer: a case-control study in China. Eur J Cancer Prev 2011; 20:199–206.
- 68.
- 69. Graham S, Zielezny M, Marshall J, et al. Diet in the epidemiology of postmenopausal breast-cancer in the New-York-state cohort. Am J Epidemiol 1992; 136:1327–1337.
- 70. Holmberg L, Ohlander EM, Byers T, et al. Diet and breast-cancer risk – results from a population-based, case-control study in Sweden. Arch Inter Med 1994; 154:1805–1811.
- 71. Jordan I, Hebestreit A, Swai B, et al. Dietary patterns and breast cancer risk among women in northern Tanzania: a case-control study. Eur J Nutr 2013; 52:905–915.
- 72. Katsouyanni K, Willett W, Trichopoulos D, et al. Risk of breast-cancer among Greek women in relation to nutrient intake. Cancer 1988; 61:181–185.
- 73. La Vecchia C, Decarli A, Franceschi S, et al. Dietary factors and the risk of breast cancer. Nutr Cancer 1987; 10:205–214.
- 74. Lee MM, Chang IYH, Horng CF, et al. Breast cancer and dietary factors in Taiwanese women. Cancer Cause Control 2005; 16:929–937.
- 75. Leosdottir M, Nilsson PM, Nilsson JA, et al. Dietary fat intake and early mortality patterns – data from The Malmo Diet and Cancer Study. J Inter Med 2005; 258:153–165.
- 76. Miller AB, Kelly A, Choi NW, et al. Study of diet and breast-cancer. Am J Epidemiol 1978; 107:499–509.
- 77. Mills P, Beeson WL, Phillips RL, et al. Dietary habits and breast-cancer incidence among 7th-day adventists. Cancer 1989; 64:582–590.
- 78. Nunez C, Carbajal A, Belmonte S, et al. [A case control study of the relationship between diet and breast cancer in a sample from 3 Spanish hospital populations. Effects of food, energy and nutrient intake]. Revista Clin Espanola 1996; 196:75–81.
- 79. Potischman N, Weiss HA, Swanson CA, et al. Diet during adolescence and risk of breast cancer among young women. J Natl Cancer Inst 1998; 90:226–233.
- 80. Santiago E, Gonzalez MJ, Matos MI, et al. Association between dietary fat and breast cancer in Puerto Rican postmenopausal women attending a breast cancer clinic. Puerto Rico Health Sci J 1998; 17:235–241.
- 81. Staessen L, DeBacquer D, DeHenauw S, et al. Relation between fat intake and mortality: an ecological analysis in Belgium. Eur J Cancer Prev 1997; 6:374–381.
- 82. Micha R, Mozaffarian D. Saturated fat and cardiometabolic risk factors, coronary heart disease, stroke, and diabetes: a fresh look at the evidence. Lipids 2010; 45:893–905.
- 83. Forouhi NG, Koulman A, Sharp SJ, et al. Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study. Lancet Diabetes Endocrinol 2014; 2:810–818.
- 84. Hardy S, El-Assaad W, Przybytkowski E, et al. Saturated fatty acid-induced apoptosis in MDA-MB-231 breast cancer cells. A role for cardiolipin. J Biol Chem 2003; 278:31861–31870.
- 85. Haase SC. Systematic reviews and meta-analysis. Plastic Reconstruc Surg 2011; 127:955–966.


