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. 2011 Dec;22(12):2616-2624.
doi: 10.1093/annonc/mdr489. Epub 2011 Nov 9.

Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice

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Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice

L V Sequist et al. Ann Oncol. 2011 Dec.

Abstract

Background: Personalizing non-small-cell lung cancer (NSCLC) therapy toward oncogene addicted pathway inhibition is effective. Hence, the ability to determine a more comprehensive genotype for each case is becoming essential to optimal cancer care.

Methods: We developed a multiplexed PCR-based assay (SNaPshot) to simultaneously identify >50 mutations in several key NSCLC genes. SNaPshot and FISH for ALK translocations were integrated into routine practice as Clinical Laboratory Improvement Amendments-certified tests. Here, we present analyses of the first 589 patients referred for genotyping.

Results: Pathologic prescreening identified 552 (95%) tumors with sufficient tissue for SNaPshot; 51% had ≥1 mutation identified, most commonly in KRAS (24%), EGFR (13%), PIK3CA (4%) and translocations involving ALK (5%). Unanticipated mutations were observed at lower frequencies in IDH and β-catenin. We observed several associations between genotypes and clinical characteristics, including increased PIK3CA mutations in squamous cell cancers. Genotyping distinguished multiple primary cancers from metastatic disease and steered 78 (22%) of the 353 patients with advanced disease toward a genotype-directed targeted therapy.

Conclusions: Broad genotyping can be efficiently incorporated into an NSCLC clinic and has great utility in influencing treatment decisions and directing patients toward relevant clinical trials. As more targeted therapies are developed, such multiplexed molecular testing will become a standard part of practice.

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Figures

Figure 1.
Figure 1.
Distribution frequency (A) and overlap (B) of the genotypes observed. Genotypes observed are depicted in a pie chart showing frequency of each mutation with regard to all patients tested (A) as well as in a Venn diagram showing the overlap of patients with more than one mutation (B). Note that only 100 patients were screened for IDH1 and HER2 mutations, so the frequency depicted here may not be truly representative. Also note that TP53 screening only encompassed a minority of the ‘hot-spot’ mutations described in NSCLC for TP53.
Figure 2.
Figure 2.
Smoking status distribution by genotype. The proportion of patients that were never, former and current smokers are depicted in separate pie charts representing the overall study cohort and the subset positive for each of the major mutation types.
Figure 3.
Figure 3.
Survival among patients with stage III and IV non-small-cell lung cancer by KRAS mutation status (A) and EGFR mutation status (B). Mutant patients are depicted with a solid line and wild-type patients with a dashed line.
Figure 4.
Figure 4.
Flow of patients with advanced or recurrent non-small-cell lung cancer onto genotype-directed therapies.

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