Related Experiment Video
Updated: Aug 11, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Epidermal growth factor receptor overexpression correlates with a poor prognosis in completely resected
G Selvaggi1, S Novello, V Torri
1Thoracic Oncology Unit, Department of Clinical and Biological Sciences, University of Torino, Torino, Italy. gselvaggi@inwind.it
Background:
We designed a prospective study to test epidermal growth factor receptor (EGFR) expression by immunohistochemistry (IHC) in resected stage I-IIIA non-small-cell lung cancer (NSCLC) and to correlate overexpression with survival.
Patients And Methods:
EGFR expression was evaluated in 130 consecutive NSCLC patients after radical surgery (60 squamous cell carcinomas, 48 adenocarcinomas, 22 large cell carcinomas: stage I, 41 (31%); stage II, 37 (29%) and stage IIIA, 52 (40%).
Results:
Overall, 101 of 130 (78%) specimens expressed EGFR, and with a cut-off value of 10% positive cells 48 cases (37%) were classified as positive. At univariate analysis, EGFR was significantly more expressed in stage III (50%) than stage I (20%) and stage II (25%) (P <0.03). No correlation with histotype was found. After a median follow-up of 84 months, both median survival time (18 versus 50 months), 2-year (43% versus 70%) and 5-year (31% versus 46%) survival rates of positive cases were significantly lower than negative ones [P <0.001; hazard ratio 1.96; 95% confidence interval (CI) 1.16-3.30]. At the multivariate analysis, EGFR overexpression and stage emerged as independent factors for cancer-related mortality.
Conclusion:
In patients with radically resected stage I-IIIA NSCLC, EGFR overexpression predicts shorter survival, thus representing a valuable prognostic factor.
More Related Videos
09:38Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
06:51Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
Published on: July 21, 2018