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Updated: Aug 9, 2026
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Prognostic significance of insulin-like growth factor-binding protein expression in axillary lymph node-negative
D Yee1, J Sharma, S G Hilsenbeck
1Department of Medicine, University of Texas Health Science Center at San Antonio 78284-7884.
Background:
Cellular proliferation, as measured by S-phase fraction, is an important predictor of breast cancer prognosis. The insulin-like growth factors (IGFs) have been shown to regulate proliferation in both normal and neoplastic cells by interacting with specific cell surface receptors. In addition to these receptors, high-affinity extracellular binding proteins also modulate IGF action. These insulin-like growth factor-binding proteins (IGFBPs) could influence breast cancer growth and, like other biological parameters of proliferation, could be related to prognosis.
Purpose:
To test whether IGFBP expression was related to other biological parameters and disease-free survival, we measured IGFBP expression in 238 lymph node-negative primary breast cancer specimens.
Methods:
Proteins were extracted from breast cancer specimens and analyzed by semiquantitative IGF-I ligand blotting for IGFBP expression. IGFBP expression levels were compared to tumor size, age, S-phase fraction, DNA ploidy, and estrogen and progesterone receptor expression by Spearman correlation.
Results:
Binding protein (BP)-2, BP-3, BP-4, and BP-5 were identified in breast cancer extracts. Estrogen receptor expression was positively correlated with BP-2 (Spearman correlation coefficient, rs = .262; P = .0001), BP-4 (rs = .313; P = .0001), and BP-5 (rs = .242; P = .0002). Similar correlations between progesterone receptor and BP-2, BP-4, and BP-5 were also found. BP-3 was inversely correlated with age (rs = -.251, P = .0001). BP-4 was weakly inversely correlated with tumor size (rs = -.141; P = .0295) and S-phase fraction (rs = -.216; P = .0025). Since tumor size and S-phase fraction are powerful predictors of prognosis in node-negative breast cancer, we examined the value of BP-4 as a predictor of disease-free survival. When stratified by tumor size, patients with large (> 2 cm) tumors that expressed low levels of BP-4 had improved survival when compared with patients with large tumors and high BP-4 levels (P = .001).
Conclusions:
IGFBPs can be detected in breast cancer specimens, and their level of expression correlates with other known biological parameters of breast cancer. Large tumors with low levels of BP-4 have relatively favorable prognoses.
Implications:
These data suggest that the IGFBPs may play a role in breast cancer biology and that BP-4 levels, analyzed in conjunction with tumor size, may have prognostic significance.
