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Updated: May 12, 2026

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
The frequency of EGFR and KRAS mutations in non-small cell lung cancer (NSCLC): routine screening data for central
Christian Boch1, Jens Kollmeier, Andreas Roth
1Klinik für Pneumologie, Lungenklinik Heckeshorn, HELIOS Klinikum Emil von Behring, Berlin, Berlin, Germany.
Objectives:
Owing to novel therapy strategies in epidermal growth factor receptor (EGFR)-mutated patients, molecular analysis of the EGFR and KRAS genome has become crucial for routine diagnostics. Till date these data have been derived mostly from clinical trials, and thus collected in pre-selected populations. We therefore screened 'allcomers' with a newly diagnosed non-small cell lung carcinoma (NSCLC) for the frequencies of these mutations.
Design:
A cohort study.
Setting:
Lung cancer centre in a tertiary care hospital.
Participants:
Within 15 months, a total of 552 cases with NSCLC were eligible for analysis.
Primary And Secondary Outcome Measures:
Frequency of scrutinising exons 18, 19 and 21 for the presence of activating EGFR mutation and secondary codon 12 and 13 for activating KRAS mutations.
Results:
Of the 552 patients, 27 (4.9%) showed a mutation of EGFR. 19 of these patients (70%) had deletion E746-A750 in codon 19 or deletion L858R in codon 21. Adenocarcinoma (ACA) was the most frequent histology among patients with EGFR mutations (ACA, 22/254 (8.7%) vs non-ACA, 5/298 (1.7%); p<0.001). Regarding only ACA, the percentage of EGFR mutations was higher in women (16/116 (14%) women vs 6/138 (4.3%) men; p=0.008). Tumours with an activating EGFR mutation were more likely to be from non-smokers (18/27; 67%) rather than smoker (9/27; 33%). KRAS mutation was present in 85 (15%) of all cases. In 73 patients (86%), the mutation was found in exon 12 and in 12 cases (14%) in exon 13. Similarly, ACA had a higher frequency of KRAS mutations than non-ACA (67/254 (26%) vs 18/298 (6.0%); p<0.001).
Conclusions:
We found a lower frequency for EGFR and KRAS mutations in an unselected Caucasian patient cohort as previously published. Taking our results into account, clinical trials may overestimate the mutation frequency for EGFR and KRAS in NSCLC due to important selection biases.
Insights
This study found lower frequencies of epidermal growth factor receptor (EGFR) and KRAS mutations in an unselected non-small cell lung carcinoma (NSCLC) patient cohort. These findings suggest clinical trials may overestimate mutation rates due to selection bias.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genetics
Background:
- Molecular analysis of EGFR and KRAS mutations is crucial for targeted therapies in non-small cell lung carcinoma (NSCLC).
- Existing data on mutation frequencies are often derived from pre-selected patient populations in clinical trials.
- Screening an 'allcomers' cohort provides a more accurate representation of mutation prevalence in routine diagnostics.
Purpose of the Study:
- To determine the frequencies of EGFR and KRAS mutations in an unselected cohort of newly diagnosed NSCLC patients.
- To compare mutation frequencies in an unselected population with those reported in clinical trials.
- To identify potential selection biases in current NSCLC trial data.
Main Methods:
- A cohort study was conducted at a tertiary care hospital over 15 months.
- 552 eligible NSCLC cases were analyzed for mutations in EGFR (exons 18, 19, 21) and KRAS (codons 12, 13).
- Patient demographics, histology, and smoking status were recorded.
Main Results:
- EGFR mutations were found in 4.9% of patients, with common alterations in codons 19 and 21.
- KRAS mutations were present in 15% of cases, predominantly in codon 12.
- Adenocarcinoma histology showed significantly higher frequencies for both EGFR and KRAS mutations compared to non-adenocarcinoma types.
Conclusions:
- The frequency of EGFR and KRAS mutations in this unselected Caucasian NSCLC cohort is lower than previously reported.
- Clinical trials may overestimate EGFR and KRAS mutation frequencies in NSCLC due to inherent selection biases.
- These findings highlight the importance of analyzing unselected 'allcomers' populations for accurate molecular profiling in NSCLC.
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