Insulin-like growth factor 1 receptor and response to anti-IGF1R antibody therapy in osteosarcoma

Yu Cao1, Michael Roth1, Sajida Piperdi1

  • 1Division of Pediatric Hematology/Oncology, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York, United States of America.

Plos One
|August 30, 2014
PubMed
Abstract

Insights

Osteosarcoma (OS) treatment has not improved. Researchers found that while Insulin-like Growth Factor 1 Receptor (IGF1R) is present in OS, its expression or mutations do not predict response to IGF1R antibody therapy.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Survival outcomes for osteosarcoma (OS) patients have stagnated for over 30 years.
  • Insulin-like Growth Factor 1 Receptor (IGF1R) is over-expressed in several cancers, with anti-IGF1R antibodies under clinical investigation.
  • Identifying molecular markers for predicting response to IGF1R therapy is crucial for patient selection.

Purpose of the Study:

  • To investigate molecular aberrations in osteosarcoma (OS) related to Insulin-like Growth Factor 1 Receptor (IGF1R).
  • To determine if IGF1R expression, copy number, or mutations predict tumor response to anti-IGF1R antibody therapy in OS.

Main Methods:

  • Assessed IGF1R mRNA expression via RT-PCR in OS tumors and cell lines.
  • Evaluated IGF1R copy number using PCR, FISH, and dot blot analysis.
  • Sequenced IGF1R exons and assessed surface expression by flow cytometry, correlating findings with response in OS xenograft models.

Main Results:

  • IGF1R mRNA is expressed in osteosarcoma (OS).
  • Primary and xenograft OS samples showed higher IGF1R mRNA expression and copy number than cell lines.
  • IGF1R mRNA expression, cell surface expression, copy number, and mutation status did not correlate with tumor response to anti-IGF1R antibody therapy.

Conclusions:

  • IGF1R is expressed in OS, but no reliable molecular markers predict response to IGF1R antibody therapy.
  • Further pre-clinical research is needed to identify predictive biomarkers for OS.
  • Investigating targetable molecular pathways crucial for OS cell proliferation is essential.

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