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Am J Epidemiol 2003; 158:607.
Copyright © 2003 by Johns Hopkins Bloomberg School of Public Health


LETTERS TO THE EDITOR

RE: "SERUM INSULIN AND GLUCOSE LEVELS AND BREAST CANCER INCIDENCE: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY"

Paola Muti

Department of Social and Preventive Medicine, University at Buffalo, State University of New York, Buffalo, NY 14214

We read with great interest the article by Mink et al. (1) on the association of insulin and glucose with breast cancer risk. The authors examined the association in an incident study on 187 breast cancer patients derived from a cohort study of 7,894 women aged 45–64 years from US communities, the Atherosclerosis Risk in Communities (ARIC) Study. The authors reported lack of association of breast cancer with insulin and glucose and a mild increase in breast cancer incidence among women who were diabetics at recruitment in comparison with those characterized by fasting glucose levels lower than 100 mg/dl.

Given that the study relied upon a prospective design and a relatively good sample size, the report could make a substantive contribution to the literature related to potential metabolic determinants of breast cancer. However, there are some weaknesses in the study. First, glucose determinations can be affected by several sources of variability. Previous studies showed, for instance, that the glucose concentration in blood samples decreases by time from the collection to the biochemical analysis (2, 3). In addition, "a short-term storage effect" reportedly affects glucose even in frozen samples (4). In the article, the authors did not describe how the blood samples were handled and how they dealt with that source of variability.

Second, it is not clear whether or not the samples in the study were collected while subjects were fasting. In the first part of the Materials and Methods section, the authors reported, "A fasting blood sample was taken from each participant" (1, p. 350), while later in the same section they reported, "Women were considered to have prevalent diabetes if ... they had ... a nonfasting glucose level of at least 200 mg/dl" (1, p. 350). The clarification of this issue is very relevant to the interpretation of the study findings.

Third, it is not clear why the authors decided to exclude from the analyses on insulin women with unknown diabetes (those with fasting glucose levels of 126 mg/dl or a nonfasting glucose level of at least 200 mg/dl), but they kept the same women for the analyses on glucose.

Fourth, one of the most relevant aspects of breast cancer etiology is the effect of menopausal status. For instance, the effect of reproductive factors and particularly of body mass index, a key variable involved in glucose metabolism, differs according to menopausal status (58). This knowledge and data produced by other prospective cohort studies, showing that most of the evidence linking variables related to glucose metabolism was limited to premenopausal women (911), should have led the authors to conduct detailed separate analyses in premenopausal and postmenopausal women. Indeed, in a previously conducted study, we found a statistically significant effect modification due to menopausal status, where fasting serum glucose and insulin-like growth factor I were associated with breast cancer only in premenopausal women (12).

In conclusion, the studies of the relation between glucose metabolism and chronic disease are made particularly difficult by numerous sources of variability. Careful attention to these sources of variability should be given before conclusive statements can be made with regard to the possible lack of evidence of an association.

REFERENCES

  1. Mink PJ, Shahar E, Rosamond WD, et al. Serum insulin and glucose levels and breast cancer incidence: the Atherosclerosis Risk in Communities Study. Am J Epidemiol 2002;156:349–52.[Abstract/Free Full Text]
  2. Chan AYW, Swaminathan T, Cockram CS. Effectiveness of sodium fluoride as a preservative of glucose in blood. Clin Chem 1989;35:315–17.[Abstract/Free Full Text]
  3. Murphy J, Browne R, Gonzales Y, et al. Transportation effect as source of variability for several serum biomarkers. Nutr Cancer 2000;37:155–60. [CrossRef][Web of Science][Medline]
  4. Giampietro O, Navalesi R, Buzzigoli G, et al. Decrease in plasma glucose concentration during storage at –20 degrees C. Clin Chem 1980;26:1710–12.[Abstract/Free Full Text]
  5. Clavel-Chapelon F, E3N-EPIC Group. Differential effects of reproductive factors on the risk of pre- and postmenopausal breast cancer. Results from a large cohort of French women. Br J Cancer 2002;86:723–7. [CrossRef][Web of Science][Medline]
  6. De Waard F. Breast cancer incidence and nutritional status with particular reference to body weight and height. Cancer Res 1975;35:3351–6.[Abstract/Free Full Text]
  7. Swanson CA, Brinton LA, Taylor PR, et al. Body size and breast cancer risk assessed in women participating in the Breast Cancer Detection Demonstration Project. Am J Epidemiol 1989;130:1133–41.[Abstract/Free Full Text]
  8. van den Brandt PA, Spiegelman D, Yaun SS, et al. Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol 2000;152:514–27.[Abstract/Free Full Text]
  9. Hankinson SE, Willett WC, Colditz GA, et al. Circulating concentrations of insulin-like growth factor-I and risk of breast cancer. Lancet 1998;351:1393–6.[CrossRef][Web of Science][Medline]
  10. Toniolo P, Bruning PF, Akhmedkhanov A, et al. Serum insulin-like growth factor-I and breast cancer. Int J Cancer 2000;88:828–32.[CrossRef][Web of Science][Medline]
  11. Muti P, Stanulla M, Micheli A, et al. Markers of insulin resistance and sex steroid hormone activity in relation to breast cancer risk: a prospective analysis of abdominal adiposity, sebum production, and hirsutism (Italy). Cancer Causes Control 2000;11:721–30.[CrossRef][Web of Science][Medline]
  12. Muti P, Quattrin T, Grant BJ, et al. Fasting glucose is a risk factor for breast cancer: a prospective study. Cancer Epidemiol Biomarkers Prev 2002;11:1361–8. [Abstract/Free Full Text]

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Am. J. Epidemiol., September 15, 2003; 158(6): 608 - 608.
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