PURPOSE: To measure peptide concentrations and mRNA expression of the IGF Family in breast cancer and to examine their associations with the disease features. EXPERIMENTAL DESIGN: Fresh tumor samples were collected from 348 patients who underwent surgery for breast cancer. Tissue levels of mRNA and peptide of IGF-I, IGF-II, and IGFBP-3 were analyzed with real-time RT-PCR and ELISA, respectively. Cox proportional hazards regression model was used to examine the associations of IGF markers with patient survival. RESULTS: Age was inversely associated with IGF-I, IGF-II and IGFBP-3 at both mRNA and peptide levels. Small tumors, early TNM stages, or low grades were associated with high mRNA expression of IGFs and IGFBP-3. Hormone receptors were positively correlated with IGF-I and IGF-II expression. Survival analysis showed that patients with high expression of one of the IGF-I transcripts, IGF-IA, had lower risk of disease recurrence (HR = 0.47, 95%CI: 0.27-0.81) and death (HR = 0.35, 95%CI: 0.18-0.70) compared to those with low expression. High IGFBP-3 expression was also inversely associated with reduced risk of death (HR = 0.47, 95%CI: 0.23-0.95). Similar associations, however, were not observed when tissue levels of IGF-I peptide or IGFBP-3 protein were analyzed. High IGF-II peptide was related to increased risk of relapse (HR = 1.91, 95%CI: 1.12-3.27). CONCLUSION: Our findings of high mRNA expression of IGFs and IGFBP-3 being associated with less aggressive tumors and favorable prognosis were consistent with previous observations, but were not supported by the measurement of tissue levels of IGF-I peptide and IGFBP-3 protein, suggesting that IGF mRNA expression and tissue levels of IGF peptides are regulated by different mechanisms and assessing these molecules in tumor tissue may have different implications.
PURPOSE: To measure peptide concentrations and mRNA expression of the IGF Family in breast cancer and to examine their associations with the disease features. EXPERIMENTAL DESIGN: Fresh tumor samples were collected from 348 patients who underwent surgery for breast cancer. Tissue levels of mRNA and peptide of IGF-I, IGF-II, and IGFBP-3 were analyzed with real-time RT-PCR and ELISA, respectively. Cox proportional hazards regression model was used to examine the associations of IGF markers with patient survival. RESULTS: Age was inversely associated with IGF-I, IGF-II and IGFBP-3 at both mRNA and peptide levels. Small tumors, early TNM stages, or low grades were associated with high mRNA expression of IGFs and IGFBP-3. Hormone receptors were positively correlated with IGF-I and IGF-II expression. Survival analysis showed that patients with high expression of one of the IGF-I transcripts, IGF-IA, had lower risk of disease recurrence (HR = 0.47, 95%CI: 0.27-0.81) and death (HR = 0.35, 95%CI: 0.18-0.70) compared to those with low expression. High IGFBP-3 expression was also inversely associated with reduced risk of death (HR = 0.47, 95%CI: 0.23-0.95). Similar associations, however, were not observed when tissue levels of IGF-I peptide or IGFBP-3 protein were analyzed. High IGF-II peptide was related to increased risk of relapse (HR = 1.91, 95%CI: 1.12-3.27). CONCLUSION: Our findings of high mRNA expression of IGFs and IGFBP-3 being associated with less aggressive tumors and favorable prognosis were consistent with previous observations, but were not supported by the measurement of tissue levels of IGF-I peptide and IGFBP-3 protein, suggesting that IGF mRNA expression and tissue levels of IGF peptides are regulated by different mechanisms and assessing these molecules in tumor tissue may have different implications.
Authors: Jie Tian; Thomas R Berton; Stephanie H Shirley; Isabel Lambertz; Irma B Gimenez-Conti; John DiGiovanni; Kenneth S Korach; Claudio J Conti; Robin Fuchs-Young Journal: J Clin Invest Date: 2011-12-19 Impact factor: 14.808
Authors: F Morgillo; F De Vita; G Antoniol; M Orditura; P P Auriemma; M R Diadema; E Lieto; B Savastano; L Festino; M M Laterza; A Fabozzi; J Ventriglia; A Petrillo; F Ciardiello; A Barbarisi; F Iovino Journal: Curr Oncol Date: 2013-08 Impact factor: 3.677
Authors: Danylo Rafhael Costa-Silva; Maria da Conceição Barros-Oliveira; Francisco Adelton Alves-Ribeiro; Larysse Cardoso Campos-Verdes; Elmo de Jesus Nery Junior; Samara Fernanda Vieira-Valença; Rodrigo Jose de Vasconcelos-Valença; Veronica Mendes Soares; André Luiz Pinho-Sobral; Emerson Brandão Sousa; Pedro Vitor Lopes-Costa; Alesse Ribeiro Dos Santos; Jackeline Lopes Viana; Arquimedes Cavalcante Cardoso; Victoria Maria Luz-Borges; Renato de Oliveira Pereira; Cleciton Braga Tavares; Vladimir Costa Silva; Dorival Mendes Rodrigues-Junior; Luiz Henrique Gebrim; Benedito Borges da Silva Journal: Medicine (Baltimore) Date: 2020-10-23 Impact factor: 1.817