Literature DB >> 8339284

Insulin-like growth factor-I receptors are overexpressed and predict a low risk in human breast cancer.

V Papa1, B Gliozzo, G M Clark, W L McGuire, D Moore, Y Fujita-Yamaguchi, R Vigneri, I D Goldfine, V Pezzino.   

Abstract

IGF-I receptor (IGFR) content and its prognostic significance were evaluated in human breast cancer specimens using a sensitive and specific radioimmunoassay (V. Pezzino et al., Metabolism, 40: 861, 1991). The prognostic significance of IGFR expression was investigated by two different approaches: (a) detectable IGFR content was measured in 82% of specimens in a consecutive series of 184 human breast cancers and in 32% of 19 normal breast tissues. The average IGFR content in breast cancer was nearly 10-fold higher than the value observed in normal breast tissue (7.6 +/- 0.8 versus 0.8 +/- 0.1 ng/0.1 mg protein, mean +/- SEM; P < 0.001). IGFR content was positively correlated with estrogen (ER) and insulin receptor content (r = 0.269 and 0.515, respectively, Pearson correlation) but not with progesterone receptors (PR). No significant correlation was observed between IGFR content and a variety of tumor parameters (tumor size, lymph node involvement, grade) and host characteristics (age, body mass index, menopausal status); (b) IGFR content was measured in a noncontinuous series of 265 primary breast cancer specimens subdivided into 136 high-risk and 129 low-risk specimens on the basis of being either negative (ER-/PR-/aneuploid/high S-phase) or positive (ER+/PR+/diploid/low S-phase) for four well-established prognostic factors. IGFR levels were significantly higher in the low-risk group (6.4 +/- 0.4 ng/0.1 mg protein, mean +/- SEM) than in the high-risk group (3.6 +/- 0.5; P < 0.0001, Wilcoxon sum rank test). In summary, our data indicate that there is an elevated IGFR content in most human breast cancers compared with normal breast tissue and that an elevated IGFR content is a favorable prognostic indicator.

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Year:  1993        PMID: 8339284

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  74 in total

Review 1.  Insulin-like growth factor binding proteins (IGFBPs) in breast cancer.

Authors:  C M Perks; J M Holly
Journal:  J Mammary Gland Biol Neoplasia       Date:  2000-01       Impact factor: 2.673

2.  Insulin receptor functionally enhances multistage tumor progression and conveys intrinsic resistance to IGF-1R targeted therapy.

Authors:  Danielle B Ulanet; Dale L Ludwig; C Ronald Kahn; Douglas Hanahan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-10       Impact factor: 11.205

Review 3.  Intrinsic and Extrinsic Factors Governing the Transcriptional Regulation of ESR1.

Authors:  David K Lung; Rebecca M Reese; Elaine T Alarid
Journal:  Horm Cancer       Date:  2020-06-26       Impact factor: 3.869

Review 4.  The insulin-like growth factor system in cancer.

Authors:  S John Weroha; Paul Haluska
Journal:  Endocrinol Metab Clin North Am       Date:  2012-06       Impact factor: 4.741

5.  Expression of IGF1R in normal breast tissue and subsequent risk of breast cancer.

Authors:  Rulla M Tamimi; Graham A Colditz; Yihong Wang; Laura C Collins; Rong Hu; Bernard Rosner; Hanna Y Irie; James L Connolly; Stuart J Schnitt
Journal:  Breast Cancer Res Treat       Date:  2011-01-01       Impact factor: 4.872

6.  Insulin and insulin-like growth factor II differentially regulate endocytic sorting and stability of insulin receptor isoform A.

Authors:  Alaide Morcavallo; Marco Genua; Angela Palummo; Emilia Kletvikova; Jiri Jiracek; Andrzej M Brzozowski; Renato V Iozzo; Antonino Belfiore; Andrea Morrione
Journal:  J Biol Chem       Date:  2012-02-08       Impact factor: 5.157

Review 7.  Insulin receptors in breast cancer: biological and clinical role.

Authors:  V Papa; A Belfiore
Journal:  J Endocrinol Invest       Date:  1996-05       Impact factor: 4.256

8.  Insulin-like growth factor-1 receptor is associated with better prognosis in classical Hodgkin's lymphoma: Correlation with MET expression.

Authors:  Young Wha Koh; Dok Hyun Yoon; Cheolwon Suh; Hee Jeong Cha; Jooryung Huh
Journal:  Int J Exp Pathol       Date:  2015-04-27       Impact factor: 1.925

9.  Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling.

Authors:  Yogesh M Kulkarni; Vivian Suarez; David J Klinke
Journal:  BMC Cancer       Date:  2010-06-15       Impact factor: 4.430

10.  IGF-I induced genes in stromal fibroblasts predict the clinical outcome of breast and lung cancer patients.

Authors:  Michal Rajski; Rosanna Zanetti-Dällenbach; Brigitte Vogel; Richard Herrmann; Christoph Rochlitz; Martin Buess
Journal:  BMC Med       Date:  2010-01-05       Impact factor: 8.775

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