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Fiore E, Campani D, Muller I, Belardi V, Giustarini E, Rossi G, Pinchera A, Giani C. Igf-Ii Mrna Expression in Breast Cancer: Predictive Value and Relationship to Other Prognostic Factors. Int J Biol Markers 2018; 25:150-6. [DOI: 10.1177/172460081002500305] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose Insulin-like growth factor-II (IGF-II) is an important regulator of tumor growth in breast cancer. In this study we have examined the prognostic value of IGF-II mRNA expression in breast cancer and its relationship to other predictive parameters. Patients Sixty-eight women with infiltrating ductal carcinoma were given the same treatments including mastectomy and antitumoral therapies and followed up for 5 years. Results The overall 5-year survival rate was 73.5% (55/68). IGF-II mRNA was expressed in 33/64 patients (51.6%) and had no significant impact on survival. The expression of estrogen receptor (ER) and progesterone receptor (PgR) did not significantly affect the 5-year survival, but in the presence of an IGF-II mRNA signal, the survival of ER- and PgR-negative patients (n=9) was lower than that of ER- and PgR-positive patients (n=15), although the difference was not significant. The 5-year survival was not significantly different between Ki-67-positive and negative patients, but in the IGF-II positive group Ki-67-positive patients (n=7) had a significantly poorer prognosis than Ki-67-negative patients (n=26). The expression of p53 protein was associated with a poorer prognosis: 6/11 (54.5%) p53-positive patients died in the first 26 months of follow-up and 5 of these 6 patients (83.3%) also had positive IGF-II mRNA expression. Conclusions IGF-II mRNA expression per se is not an independent predictive factor in breast cancer but may be a marker of poor prognosis when associated with other prognostic factors such as Ki-67 index and p53 expression.
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Affiliation(s)
- Emilio Fiore
- Department of Endocrinology, University of Pisa, Pisa - Italy
| | - Daniela Campani
- Experimental Pathology, Department of Surgery, University of Pisa, Pisa - Italy
| | - Ilaria Muller
- Department of Endocrinology, University of Pisa, Pisa - Italy
| | | | | | - Giovanni Rossi
- Unit of Epidemiology and Biostatistics, Institute of Clinical Physiology, National Research Council (CNR), Pisa - Italy
| | - Aldo Pinchera
- Department of Endocrinology, University of Pisa, Pisa - Italy
| | - Claudio Giani
- Department of Endocrinology, University of Pisa, Pisa - Italy
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