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Clinical Trial
. 2014 Feb 25:14:128.
doi: 10.1186/1471-2407-14-128.

Can we accurately report PTEN status in advanced colorectal cancer?

Christopher Hocking, Jennifer E Hardingham, Vy Broadbridge, Joe Wrin, Amanda R Townsend, Niall Tebbutt, John Cooper, Andrew Ruszkiewicz, Chee Lee, Timothy J Price  1
Affiliations
Clinical Trial

Can we accurately report PTEN status in advanced colorectal cancer?

Christopher Hocking et al. BMC Cancer. .

Abstract

Background: Loss of phosphatase and tensin homologue (PTEN) function evaluated by loss of PTEN protein expression on immunohistochemistry (IHC) has been reported as both prognostic in metastatic colorectal cancer and predictive of response to anti-EGFR monoclonal antibodies although results remain uncertain. Difficulties in the methodological assessment of PTEN are likely to be a major contributor to recent conflicting results.

Methods: We assessed loss of PTEN function in 51 colorectal cancer specimens using Taqman® copy number variation (CNV) and IHC. Two blinded pathologists performed independent IHC assessment on each specimen and inter-observer variability of IHC assessment and concordance of IHC versus Taqman® CNV was assessed.

Results: Concordance between pathologists (PTEN loss vs no loss) on IHC assessment was 37/51 (73%). In specimens with concordant IHC assessment, concordance between IHC and Taqman® copy number in PTEN loss assessment was 25/37 (68%).

Conclusion: Assessment PTEN loss in colorectal cancer is limited by the inter-observer variability of IHC, and discordance of CNV with loss of protein expression. An understanding of the genetic mechanisms of PTEN loss and implementation of improved and standardized methodologies of PTEN assessment are required to clarify the role of PTEN as a biomarker in colorectal cancer.

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Figures

Figure 1
Figure 1
CNV = copy number variation, IHC = immunohistochemistry, mCRC = metastatic colorectal cancer.
Figure 2
Figure 2
Examples of immunohistochemical assessment of PTEN (a) IHC negative (b) IHC positive.
See this image and copyright information in PMC

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