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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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Related Experiment Video

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Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
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Predicting OncoDx recurrence scores with immunohistochemical markers.

Scott H Bradshaw1, Dale Pidutti, Denis H Gravel

  • 1*Department of Anatomic Pathology and Laboratory Medicine, Critical Care Wing, The Ottawa Hospital-General Campus †Department of Biology, Carleton University, Ottawa, ON, Canada.

Applied Immunohistochemistry & Molecular Morphology : AIMM
|March 5, 2013
PubMed
Summary

A new immunohistochemistry risk score (IHC-RS) accurately predicts the OncoDx recurrence score (Onco-RS) in breast cancer patients. This simple IHC test offers similar prognostic value, potentially improving breast cancer recurrence prediction.

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Published on: February 25, 2020

Area of Science:

  • Oncology
  • Biomarkers
  • Genomics

Background:

  • Immunohistochemistry (IHC) markers show promise for prognostic information in breast cancer, comparable to genomic recurrence scores.
  • The OncoDx recurrence score (Onco-RS) is a validated tool for predicting breast cancer recurrence risk.

Purpose of the Study:

  • To evaluate the prognostic value of a novel IHC-based risk score (IHC-RS) in predicting the Onco-RS.
  • To determine if a simplified IHC panel can replicate the prognostic information of a complex genomic assay.

Main Methods:

  • A retrospective cohort of 158 women with ER-positive, HER2neu-negative breast cancer was analyzed.
  • An IHC-RS was developed using stepwise multiple regression with Ki67 percentage and semiquantitative ER/PR scores.
  • The IHC-RS was correlated with the Onco-RS to assess predictive accuracy.

Main Results:

  • The developed IHC-RS explained 62% of the variability in the Onco-RS (adjusted R=0.624, P=0.004).
  • Analysis of outliers suggested potential sampling error limitations within the Onco-RS.
  • Potential inter- and intra-laboratory variability and preanalytic issues were noted as challenges for IHC-RS implementation.

Conclusions:

  • A simple IHC-based risk score (IHC-RS) can effectively predict the OncoDx recurrence score (Onco-RS) in specific breast cancer subtypes.
  • This IHC-RS offers a potentially more accessible and cost-effective alternative for prognostic assessment in breast cancer.
  • Further research is needed to address variability issues for widespread clinical adoption of IHC-based risk scores.