Lack of prognostic value of insulin-like growth factor-1 in patients with breast cancer: Analysis with tissue microarray

Shyr Ming Sheen-Chen, Fong Fu Chou, Wayne Hsu, Chao Cheng Huang, Hock Liew Eng, Rei Ping Tang

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Background: Recent reports on the risk of prostate, breast, colorectal and lung cancer suggested that high circulating insulin-like growth factor-1 (IGF-1) concentrations are associated with an increased risk of cancer. The power of the tissue microarray (TMA) technique is the ability to perform a series of analyses of thousands of specimens in a parallel fashion with minimal damage to the original blocks. Materials and Methods: Archival tissue specimens from 106 patients with primary invasive breast cancer were selected and IGF-1 expression was analyzed by immunohistochemical staining of tissue microarrays. The data regarding primary tumor staging, age, estrogen receptor status, lymph node status, histological grading and TNM staging were also collected. Results: There were 2 patients (2%) with grade 1 expression for IGF-1, 39 patients (37%) with grade 2 expression and 65 patients (61%) with grade 3 expression. There was no significant relationship between IGF-1 expression and age (p=0.256), estrogen receptor status (p=0.921), histological grading (p=0.815), primary tumor staging (p=0.455), or TNM staging (p=0.194). No survival difference was noted among the three groups with different IGF-1 expression (p=0.462). Conclusion: Immunohistochemical staining of the tissue microarray was convenient and feasible for the analysis of IGF-1 expression in breast cancer, yet its expression did not show any significant correlation with the overall survival rate.

Original languageEnglish
Pages (from-to)3541-3544
Number of pages4
JournalAnticancer Research
Issue number5 B
Publication statusPublished - Sep 1 2007
Externally publishedYes


  • Breast cancer
  • IGF-1
  • Insulin-like growth factor-1
  • Tissue microarray

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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