Introduction

Genotyping of the Epidermal Growth Factor Receptor (EGFR) gene is crucial to guide treatment decisions regarding the use of EGFR tyrosine kinase inhibitors in non-small cell lung cancer.

Our group built a model-based nomogram to predict the probability that a patient’s lung cancer will harbor an EGFR activating mutation.

The nomogram was developed in a cohort of non-Asian patients with lung adenocarcinoma, and should only be applied to this population.

Further information about this study is available in the following article:

Girard N, Sima CS, Jackman DM, Sequist LV, Chen H, Yang JC, Ji H, Waltman B, Rosell R, Taron M, Zakowski MF, Ladanyi M, Riely G, Pao W.

Nomogram to predict the presence of EGFR activating mutation in lung adenocarcinoma.

Eur Respir J. 2011; doi: 10.1183/09031936.00010111

PUBMED link PUBMED

Score
Age: years old
Gender:
Tobacco-smoking
history Help Pack Years :
Get More information about Tobacco-smoking history

• Never smokers are people who smoked less than 100 lifetime cigarettes;

• former smokers are people who quit more than 1 year prior to diagnosis;

• current smokers are people who continued smoking within 1 year of diagnosis.

Pack-years Help Pack Years :
Get More information about Pack-years

Number of Pack Years =
(packs of cigarettes smoked per day) × (years as a smoker)

Years since quitting:
Predominant
histological subtype Help Pack Years :
Get More information about Predominant histological subtype

This information may be found in the pathological report on the tumor.

Stage Help Pack Years :
Get More information about Stage

This information is available from imaging studies and pathological reports.

  • IIIB > IV
     
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