Related Experiment Video
Updated: Mar 28, 2026

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
Published on: October 25, 2011
[Influence of Immunohistochemistry Scoring Criteria in Detecting EGFR Mutations]
Xin Feng1, Chang Liu1, Diansheng Zhong1
1Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Background:
Appropriate immunohistochemistry (IHC) scoring criteria can guarantee the reliability of mutation detection results. Most current studies suggest that the "four-grade criterion" may be the best among all scoring systems. The aim of this study is to discuss the influence of different four-grade immunohistochemistry scoring criteria on the test results.
Methods:
Three different four-grade immunohistochemistry scoring criteria were respectively used to evaluate the EGFR status of 83 cases of non-small cell of lung cancer (NSCLC) samples. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), the agreement of each criterion compared with the gold standard, and whether statistical significance exists between each criterion were calculated.
Results:
No statistical difference was found among the three criteria in detecting EGFR mutations. All three criteria exhibit considerably better specificity than sensitivity. For samples with scores of "3+", PPV could reach up to 100%.
Conclusions:
No definite best criterion is among different four-grade scoring criteria. Regardless of the kind of criterion used, the specificity of IHC method in detecting EGFR mutations is markedly better than the sensitivity. For samples with scores of "3+", mutation status can be confirmed, and samples can receive EGFR-TKI therapy directly.
More Related Videos
08:28Validated Immunochemical Assay for Comprehensive Determination of the Human Epidermal Growth Factor Receptor 2 Released from and Bound to Cells
Published on: May 9, 2025
06:05Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
Published on: June 2, 2023