Literature DB >> 24755714

Risk of breast cancer recurrence associated with carbohydrate intake and tissue expression of IGFI receptor.

Jennifer A Emond1, John P Pierce1, Loki Natarajan1, Laarni R Gapuz1, John Nguyen1, Barbara A Parker1, Nissi M Varki2, Ruth E Patterson3.   

Abstract

BACKGROUND: The insulin-like growth factor-I (IGFI) receptor is a potential target for breast cancer treatment and may be influenced by dietary intake.
METHODS: Nested, case-control study of 265 postmenopausal breast cancer survivors; primary breast cancer tissue was stained to determine IGFI receptor status. Change in carbohydrate intake from baseline to year 1 of study was estimated from 24-hour dietary recalls. Breast cancer recurrence cases (91) were matched to two controls (n = 174) on disease and study characteristics and counter matched on change in carbohydrate intake. Weighted conditional logistic regression models fit the risk of recurrence on IGFI receptor status and dietary change.
RESULTS: Half of the tumors were IGFI receptor positive. Increased risk of recurrence was associated with IGFI receptor-positive status [HR 1.7; 95% confidence interval (CI), 1.2-2.5] and, separately, with a stable/increased intake of carbohydrates (HR 2.0; 95% CI, 1.3-5.0). There was a borderline significant interaction between those two variables (P = 0.11). Specifically, carbohydrate intake had no significant impact on risk of recurrence among women who were receptor negative, yet increased the risk of recurrence by more than 5-fold among women who were receptor positive (HR 5.5; 95% CI, 1.8-16.3).
CONCLUSIONS: Among women whose tumor tissue is positive for the IGFI receptor, reducing carbohydrate intake after diagnosis could reduce the risk of breast cancer recurrence. These findings need replication in a larger sample. IMPACT: This is the first study to suggest that it may be possible to personalize dietary recommendations for breast cancer survivors based on molecular characteristics of their primary tumor tissue. . ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24755714      PMCID: PMC4082443          DOI: 10.1158/1055-9965.EPI-13-1218

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


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