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. 2012 Nov 20;66(2):79–89. doi: 10.1136/jclinpath-2012-201194

EGFR mutation testing in lung cancer: a review of available methods and their use for analysis of tumour tissue and cytology samples

Gillian Ellison 1, Guanshan Zhu 2, Alexandros Moulis 3, Simon Dearden 1, Georgina Speake 1, Rose McCormack 1
PMCID: PMC3582044  PMID: 23172555

Abstract

Aims

Activating mutations in the gene encoding epidermal growth factor receptor (EGFR) can confer sensitivity to EGFR tyrosine kinase inhibitors such as gefitinib in patients with advanced non-small-cell lung cancer. Testing for mutations in EGFR is therefore an important step in the treatment-decision pathway. We reviewed reported methods for EGFR mutation testing in patients with lung cancer, initially focusing on studies involving standard tumour tissue samples. We also evaluated data on the use of cytology samples in order to determine their suitability for EGFR mutation analysis.

Methods

We searched the MEDLINE database for studies reporting on EGFR mutation testing methods in patients with lung cancer.

Results

Various methods have been investigated as potential alternatives to the historical standard for EGFR mutation testing, direct DNA sequencing. Many of these are targeted methods that specifically detect the most common EGFR mutations. The development of targeted mutation testing methods and commercially available test kits has enabled sensitive, rapid and robust analysis of clinical samples. The use of screening methods, subsequent to sample micro dissection, has also ensured that identification of more rare, uncommon mutations is now feasible. Cytology samples including fine needle aspirate and pleural effusion can be used successfully to determine EGFR mutation status provided that sensitive testing methods are employed.

Conclusions

Several different testing methods offer a more sensitive alternative to direct sequencing for the detection of common EGFR mutations. Evidence published to date suggests cytology samples are viable alternatives for mutation testing when tumour tissue samples are not available.

Keywords: EGFR, Lung Cancer, Cytology, Methodology

Introduction

Lung cancer is the most frequently diagnosed of all cancers and is responsible for approximately 1.38 million deaths each year worldwide.1 Non-small-cell lung cancer (NSCLC) is the most common form of lung cancer and first-line treatment of advanced NSCLC often involves platinum-based combination chemotherapy.2 However, for patients with advanced NSCLC harbouring an activating mutation in the tyrosine kinase (TK) domain of the epidermal growth factor receptor (EGFR), targeted treatment is available in the form of the EGFR TK inhibitors (TKIs) gefitinib and erlotinib.

Activating somatic mutations in the EGFR gene conferring sensitivity to EGFR TKIs were first reported in 2004.3–5 Since then, the efficacy of first-line gefitinib and erlotinib in patients with EGFR mutation-positive advanced NSCLC has been demonstrated in a number of Phase III trials.6–11 In the Iressa Pan-Asia Study, progression-free survival (PFS) was significantly longer with gefitinib than carboplatin/paclitaxel for patients whose tumours harboured activating EGFR mutations. In patients with wild-type EGFR, carboplatin/paclitaxel was associated with significantly longer PFS than gefitinib.8 The conformational change seen in the TK domain of mutated EGFRs increases the activation of the domain and its affinity for ATP (and EGFR TKIs) compared with wild-type EGFR.3The resulting increase in binding of EGFR TKIs produces greater inhibition of the domain and blocking of signal transduction pathways implicated in the proliferation and survival of cancer cells. Gefitinib also improved PFS versus chemotherapy in two Phase III trials performed solely in patients with EGFR mutation-positive advanced NSCLC.6 7 In addition, in two Phase III erlotinib trials that recruited EGFR mutation-positive patients, PFS was significantly increased with first-line erlotinib relative to chemotherapy.9 10 As a result of these data, the accurate identification of patients who might benefit from EGFR TKI therapy has become an important step in the treatment-decision pathway for advanced NSCLC.9 12

Mutations associated with enhanced sensitivity to EGFR TKIs are found in exons 18–21 of the TK domain of EGFR.3 4 Two types of mutation—short in-frame deletions in exon 19, clustered around the amino-acid residues 747–750 and a specific exon 21 point mutation (L858R)—have been reported to comprise up to 90% of all activating EGFR mutations.3 4 13 Other activating mutations include point mutations in exon 18 (including mutations in codon 719) and point mutations and in-frame insertions in exon 20 (including T790M). The prevalence of EGFR mutations differs according to ethnicity; approximately 10–12% of non-Asian patients with advanced NSCLC harbour these mutations compared with 30–40% of Asian patients.14–16

Historically, the standard for EGFR mutation testing involved direct sequencing of DNA extracted from samples of tumour tissue gathered during biopsy or resection, usually in the form of formalin-fixed paraffin-embedded (FFPE) diagnostic blocks. Direct sequencing, however, has low sensitivity (ie, only detects mutations when sufficient levels of mutant DNA are present), can be complex and time-consuming, and is not standardised in terms of laboratory practice.17 18 A number of alternative methods for mutation testing have been developed and used over recent years, many with improved sensitivity and turnaround times. Another area of active research has been the evaluation of alternative sources of tumour material. As many patients with lung cancer are not identified until they have advanced disease, the procedures required to obtain a tumour biopsy sample for diagnosis may not always be possible due to co-morbidities or other reasons. Instead, cytology samples can be collected as they are adequate for the diagnosis and staging of the disease, and the procedures used to obtain these samples are generally less invasive than those used to obtain a biopsy sample. In this regard, the use of cytology samples collected for diagnostic purposes or as a result of disease complications (eg, pleural effusion (PLE)) has attracted particular attention.19

The first objective of this review was to identify and compare reported methods for EGFR mutation testing in patients with lung cancer. We focused on studies involving samples of biopsied or resected tumour tissue for this purpose because, in comparison with other sources of tumour DNA, such samples have traditionally been considered the standard for mutation testing. Our second objective was to evaluate published data on EGFR mutation testing in cytology samples when used to diagnose lung cancer in an effort to determine whether such specimens are viable alternatives to standard tumour tissue samples.

Literature search methodology

A MEDLINE database search was performed on 27 April 2012 to identify original study articles reporting on methods for EGFR mutation testing in patients with lung cancer. The following search terms and criteria were used: (mutation detection methods lung (All fields) AND EGFR (Title/Abstract) AND mutation (Title/Abstract)) OR (EGFR (Title/Abstract) AND mutation (Title) AND lung (Title/Abstract) AND methods (Title/Abstract)) OR (EGFR mutation testing lung (All fields)) OR (EGFR (Title/Abstract) AND mutation (Title/Abstract) AND cytology (Title/Abstract)). Search results were filtered to exclude non-English language and review articles and the titles of the remaining 284 articles were reviewed to identify potentially relevant articles. Abstracts of such articles (n=106) were reviewed and 59 studies that met one or both of the following criteria were selected for inclusion: (1) studies using ‘standard’ tumour tissue samples that assessed an EGFR mutation testing method and one or more ‘comparator’ methods; (2) studies reporting the use of cytology samples for EGFR mutation testing. Both groups excluded studies that only investigated non-TKI-sensitive EGFR mutations (ie, the exon 20 point mutation T790M alone) and those involving fewer than 20 samples.

EGFR mutation testing methods in tumour tissue samples

Our literature search identified 30 studies that assessed the utility of an EGFR mutation testing method and comparator method(s) using 20 or more tumour tissue samples (table 1). Methods were assigned into one of two broad categories: ‘screening’ methods that detect all mutations, including novel variants, in exons 18–21 and 'targeted’ methods that detect specific, known mutations. The advantages and disadvantages of screening and targeted testing methods are summarised in table 2.

Table 1.

Studies of EGFR mutation testing methods using ‘standard’ tissue samples collected from patients with lung cancer

Reference Mutation testing method assessed (and comparator method) Activating mutations assessed No. of tissue samples Tissue sample preparation Macro- or micro-dissected? Ethnicity of study population Mutation frequency (vs that with comparator method)* Reported Se, Sp, PPV, and NPV relative to comparator
Screening methods
 Sueoka et al20 dHPLC (vs direct sequencing) Exons 18–21 97 (including 16 PLE samples) Frozen NR Japanese Any mutation: 34 (35%) (vs 33 (34%)) NR
 Jänne et al21 DNA endonuclease (SURVEYOR) and HPLC (vs direct sequencing) Exons 18–21 160 (more samples were analysed with SURVEYOR/HPLC only) FFPE/frozen Macro-dissected (91/117 FFPE samples only) NR (study performed in USA) Any mutation: 58 (36%) (vs 51 (32%)) Se, 100%; Sp, 87%; PPV, 74%; NPV, 100%
 Do et al22 HRMA (vs direct sequencing) Exons 18–21 200 FFPE Micro-dissected NR (study performed in Australia) Any mutation: 118 (59%) (vs 73 (37%)) Se, 100%; Sp, 90%
 Takano et al23 HRMA (vs direct sequencing)† Exon 19 deletions and exon 21 point mutation (L858R) 66 (more samples were analysed with HRMA only) FFPE/methanol-fixed Micro-dissected (samples for sequencing only) East Asian patients Any screened mutation: 34 (52%) for FFPE and 36 (55%) for methanol-fixed (vs 37 (56%)) FFPE: Se, 92%; Sp, 100%; PPV, 100%; NPV, 90%
Methanol-fixed: Se, 97%; Sp, 100%; PPV, 100%; NPV, 97%
 Borràs et al24  HRMA (vs direct sequencing) Exons 19–21 36 FFPE Macro-dissected NR (study performed in Spain) E746–A750: 1 (2.8%) (vs 1 (2.8%))
E746–T751insA: 1 (2.8%) (vs 1 (2.8%))
L858R: 1 (2.8%) (vs 1 (2.8%))
P848L: 1 (2.8%)(vs 1 (2.8%))
NR
 Querings et al25 Massively parallel sequencing (vs direct sequencing and pyrosequencing) Exons 18–21 24 (including 3 cytology samples) FFPE/frozen NR NR (study performed in Germany) Any mutation: 14 (58.3%) (vs 12 (50.0%) for pyrosequencing and 9 (37.5%) for direct sequencing) Se, 100% (vs 89% for pyrosequencing and 67% for direct sequencing)
Targeted methods
 Endo et al26 TaqMan PCR (vs direct sequencing) 13 mutations across exons 18–21 94 (more samples were analysed with TaqMan PCR only) FFPE NR NR (study performed in Japan) Any screened mutation: 27 (28%) (vs 26 (28%)) NR
 Yatabe et al27 Cycleave PCR (exon 21 (L858R)) or fragment analysis (exon 19 deletion) (vs direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 195 FFPE/frozen Macro-dissected NR (study performed in Japan) E746_A750: 38 (19%) (vs 39 (20%))
L858R:33 (17%) (vs 32 (16%))
NR
 Ohnishi et al28 Mutation-specific PCR (vs direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 62 Frozen NR NR (study performed in Japan) E746_A750: 8 (13%) (vs 8 (13%))
L858R:14 (23%) (vs 11 (18%))
NR
 Asano et al29 Mutant-enriched PCR (vs non-enriched PCR and direct sequencing) Exon 19 deletions and exon 21 point mutation (L858R) 108 Frozen NR NR (study performed in Japan) Exon 19 deletions: 17 (16%) (vs 16 (15%) for both non-enriched PCR and direct sequencing)
L858R: 20 (19%) vs (17 (16%) for both non-enriched PCR and direct sequencing)
NR
 Otani et al30 Mutant-enriched PCR (vs non-enriched PCR and direct sequencing) Exon 19 deletions and exon 21 point mutation (L858R) 26 Frozen NR NR (study performed in Japan) Exon 19 deletions: 3 (12%) (vs 3 (11%) for both non-enriched PCR and direct sequencing)
L858R: 11 (42%) (vs 6 (23%) for both non-enriched PCR and direct sequencing)
NR
 Ellison et al31 ARMS (vs direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 215 FFPE Macro-dissected NR E746_A750: 9 (4%) (vs 4 (2%))
L858R: 9 (4%) (vs 4 (2%))
NR
 Zhao et al32 Mutant-enriched ARMS TaqMan PCR (vs direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 31 FFPE NR NR (study performed in China) E746_A750: 5 (16%) (vs 3 (6%))
L858R: 6 (19%) (vs 5 (16%))
NR
 Naoki et al33 PCR-Invader (vs DNA sequencing) Exon 18 point mutations (G719A/C/S), exon 19 deletions, exon 20 point mutation (S768I), exon 21 point mutations (L858R and L861Q) 49 (plus 4 PLE and 1 PCE) FFPE (tissue samples only) Macro-dissected Japanese Any of the screened mutations: 28 (52%) (vs 19 (35%)) NR
 Kawada et al34 PCR-RFLP (vs direct sequencing) Exon 18 point mutation (G719X), exon 19 deletions and exon 21 point mutations (L858R and L861Q) 91 (plus 14 PLE,
3 PCE and 1 sputum)
Frozen NR NR (study performed in Japan) Any of the screened mutations: 37 (34%)
(vs 36 (33%))
NR
 Molina-Vila et al35 Length analysis for exon 19 deletions and TaqMan assay for exon 21 point mutation (vs direct sequencing) Exon 19 deletions and exon 21 point mutations (L858R and L861Q) 217 (includes 72 cytology samples) FFPE/fresh Micro-dissected NR (study performed in Spain) Exon 19 deletions: 25 (12%) (vs 25 (12%))
L858R: 11 (5%) (vs 11 (5%))
L861Q: 1 (0.5%) (vs 1 (0.5%))
NR
 Pan et al36 Length analysis (exon 19 deletions) and PCR-RFLP (exon 21 (L858R)) (vs direct sequencing) Exon 19 deletions and exon 21 point mutation (L858R) 39 NR NR NR (study performed in USA) Exon 19 deletions: 15 (38%) (vs 13 (33%))
L858R: 14 (36%) (vs 12 (31%))
NR
 Ikeda et al37 In-situ LAMP with ARMS (vs PCR-RFLP) Exon 21 point mutation (L858R) 26 Paraffin-embedded NR NR (study performed in Japan) L858R: 15 (58%) (vs 12 (46%)) NR
 Dufort et al38 Pyrosequencing‡ (vs direct sequencing) Exon 19 deletions and exon 21 point mutation (L858R) 58 (more samples were analysed with pyrosequencing only) FFPE/others NR NR (study performed in France) Exon 19 deletions: 11 (19%) (vs 9 (16%))
L858R: 5 (9%) (vs 4 (7%))
NR
 Han et al39 PCR-PNA clamp (vs direct sequencing) Exon 19 deletions, exon 20 insertions, and exon 21 point mutation (L858R and L816Q) 23 (and 41 pleural effusion samples) FFPE No NR (study performed in South Korea) Any of the screened mutations: 16 (69.6%) (vs 12 (52.2%)) for adequate biopsy specimens and 12 (52.2%) (vs 12 (52.2%)) for matched surgically resected specimens NR
 Yang et al40 PCR/CCP-based FRET (vs direct sequencing and RT-PCR) Exon 21 point mutation (L858R) 48 FFPE No NR (study performed in China) L858R: 20 (41.7%) (vs 19 (39.6%) for direct sequencing and 21 (43.8% for RT-PCR)) Se, 95.2%; Sp, 96.3%
 Hoshi et al41 SmartAmp (vs direct sequencing) Exon 18 point mutation (G719S), exon 19 deletions and exon 21 point mutation (L858R) 45 Frozen NR NR (study performed in Japan) G719S: 0 (0%) (vs 0 (0%))
Exon 19 deletions: 5 (11%) (vs 5 (11%))
L858R: 5 (11%) (vs 4 (9%))
NR
 Miyamae et al42 Conventional and PNA-clamp SmartAmp2 (vs direct sequencing) Exon 19 deletions and exon 21 point mutation (L858R) 43 FFPE and paired frozen NR NR (study performed in Japan) Exon 19 deletions: 18 (42%) (vs 12 (28%) for frozen and FFPE)
L858R: 12 (28%) (vs 5 (12%)) for frozen and 11 (26%) (vs 3 (7%)) for FFPE
NR
 Araki et al43 PNA-clamp SmartAmp2 (vs direct sequencing, PNA-enriched sequencing, and SmartAmp2) Exon 19 deletions 172 Frozen No Asian Exon 19 deletions: 39 (22.7%) (vs 30 (17.4%) for direct sequencing and 38 (22.1%) for PNA-enriched sequencing and 12 (7.0%) for SmartAmp2) NR
 Kozu et al44 IHC (vs HRMA) Exon 19 deletions and exon 21 point mutation (L858R) 577 (including 36 cytological smears) Frozen or MFPE No (but tumour regions selected for TMA and IHC analysis) Japanese Exon 19 deletions: 59 (10%) (vs 135 (23%))
L858R: 139 (24%) (vs 172 (30%))
Exon 19 deletions: Se, 42%; Sp, 100%
L858R: Se, 76%; Sp. 98%
 Brevet et al45 IHC (vs fragment analysis for exon 19 deletion (mutant-enriched PCR assay for discordant results) or PCR-RFLP for L858R (mass-spectrometry-based DNA analysis for discordant results)) Exon 19 deletions and exon 21 point mutation (L858R) 194 FFPE Macro-dissected NR (study performed in USA) E746_A750: 22 (11%) (vs 20 (10%))
Other exon 19 deletions: 25 (13%) (vs 31 (16%))
L858R: 22 (11%) (vs 21 (11%))
E746_A750 deletion: Se, 100%
Other exon 19 deletions: Se, 74%
E746_A750 deletion and other exon 19 deletions: Sp, 98.8%
L858R: Se, 95%; Sp. 99%
 Ilie et al46 IHC (vs direct sequencing) Exon 19 deletions 61 FFPE (direct sequencing performed on frozen samples) No (but tumour regions selected for TMA and IHC analysis) Caucasian E746_A750: 12 (20%) (vs 8 (13%))
All exon 19 deletions: 13 (21%) (vs 10 (16%))
Se, 23%; NPV, 49% (calculated using results from direct sequencing plus other methods)
 Kato et al47 IHC (vs direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 70 NR No (but tumour regions selected for TMA and IHC analysis) Japanese E746_A750: 9 (13%) (vs 11 (16%))
L858R: 11 (16%) (vs 12 (17%))
E746_A750: Se, 82%; Sp, 100%; PPV, 100%; NPV, 96.7%
L858R : Se, 75%; Sp, 97%; PPV, 82%; NPV, 95%
 Nakamura et al48 IHC (vs PNA-LNA PCR clamp/direct sequencing) Exon 19 deletion (E746_A750) and exon 21 point mutation (L858R) 20 FFPE No NR (study performed in Japan) E746_A750: 4 (20%) (vs 3 (15%))
L858R: 4 (20%) (vs 5 (25%))
Se, 92%; Sp, 100%
 Simonetti et al49 IHC (vs fragment analysis, TaqMan assay, and direct sequencing) Exon 19 deletions and exon 21 point mutations (L858R and L816Q) 78 FFPE Micro-dissected Caucasian E746_A750: 17 (22%) (vs 17 (22%))
Other exon 19 deletions: 3 (4%) (vs 12 (15%))
L858R: 25 (32%) (vs 25 (32%))
L816Q: 0 (0%) (vs 2 (3%))
NR

Only studies identified by our literature search and meeting the criteria described in the Methods are listed.

*In many studies, samples were selected and/or purposely enriched to include a higher number of mutated samples; therefore, mutation frequency data should not be considered representative of the general population.

†HRMA was used as a targeted method in this study.

‡Pyrosequencing tends to be performed in a semi-targeted manner.

ARMS, Amplification Refractory Mutation System; CCP-based FRET, cationic conjugated polymer-based fluorescence resonance energy transfer; dHPLC, denaturing high-performance liquid chromatography; EGFR, epidermal growth factor receptor; FFPE, formalin-fixed paraffin-embedded; HPLC, high-performance liquid chromatography; HRMA, high-resolution melting analysis; IHC, immunohistochemistry; LAMP, loop-mediated isothermal amplification; MFPE, methanol-fixed paraffin-embedded; NPV, negative predictive value; NR, not reported; PCE, pericardial effusion; PCR-RFLP, PCR-restriction fragment length polymorphism; PLE, pleural effusion; PNA, peptide nucleic acid; PNA-LNA, PNA-locked nucleic acid; PPV, positive predictive value; Se, sensitivity; SmartAmp2, smart amplification process V.2; Sp, specificity; TMA, tissue microarray.

Table 2.

Advantages and disadvantages of screening and targeted methods for EGFR mutation testing

Screening methods (samples screened for all EGFR mutations, known and novel variants) Targeted methods (samples analysed for known EGFR mutations only)
Advantages ▸ All mutations, including novel mutations, may be detected (analytical sensitivity)▸ Direct sequencing technology is widely available ▸ Less time-consuming than the screening method direct sequencing, leading to reduced turnaround times▸ Sensitivity (limit of detection) tends to be higher than with screening methods▸ Technology is fairly widely available
Disadvantages ▸ Sensitivity tends to be lower than with targeted methods▸ Often require enrichment of tumour cells by macro- or micro-dissection▸ Experienced operators needed▸ Tend to be more labour intensive and time consuming than targeted methods, leading to longer turnaround times ▸ Rare mutations not assayed for are not detected▸ Reagents may be more expensive than for screening methods such as direct sequencing

EGFR, epidermal growth factor receptor.

Screening methods

Table 1 includes six studies investigating the use of screening methods as alternatives to direct sequencing. In the study of Sueoka and colleagues, mutation testing results obtained by denaturing high-performance liquid chromatography (dHPLC) analysis of frozen tissue samples were consistent with those obtained by direct sequencing.20 These authors reported that the analysis time for dHPLC was a quarter of that for direct sequencing. When combined with a DNA endonuclease-based technique, HPLC was shown to have 100% analytical sensitivity and negative predictive value relative to direct sequencing.21 A technique related to dHPLC, high-resolution melting analysis (HRMA), exhibited 100% sensitivity and 90% specificity versus direct sequencing.22 Similarly high sensitivity and specificity versus sequencing was reported for HRMA by Takano and colleagues, although this group used HRMA as a targeted method.23 Another study utilising HRMA reported identical EGFR mutation frequency rates to direct sequencing.24 An alternative next-generation sequencing methodology, massively parallel sequencing, was validated in a study by Querings and colleagues.25 This group reported a 100% success rate of this method to detect low-frequency EGFR mutations compared with 89% for pyrosequencing—a non-electrophoretic sequencing technology employing luminometric detection—and 67% for direct sequencing.25

Targeted methods

The results of 24 studies that assessed targeted methods for detection of common EGFR mutations are shown in table 1. The majority of these studies investigated the use of PCR-based methods to specifically detect exon 19 deletions, the exon 21 L858R point mutation, and, in some cases, other less common but known EGFR mutations.26–40 In these studies, which varied in their use of frozen and/or FFPE tissue samples, virtually all samples testing positive for known mutations by direct sequencing were also detected by the PCR-based screening methods under investigation. Moreover, the targeted methods detected mutations in samples that had tested negative by direct sequencing. For example, the Amplification Refractory Mutation System (ARMS)—a commonly used method that discriminates between mutated and wild-type DNA by selectively amplifying mutation-containing target sequences—detected over twice as many exon 19 deletions and L858R mutations than direct sequencing in a study by our group.31 However, direct sequencing detected additional mutations not designed to be identified by the specific ARMS reactions. Another method commonly used is fragment length analysis; in the study of Pan and colleagues, this method detected more exon 19 deletions than direct sequencing.36 Pyrosequencing has also shown higher analytical sensitivity than direct sequencing for the two most common EGFR mutations; the accuracy of this method, however, was only maintained when samples contained at least 20% tumour cells.38 One novel technique adapted for PCR-based mutation detection is cationic conjugated polymer (CCP)-based fluorescence resonance energy transfer (FRET).40 This method, in which FRET probes bind to nested PCR-amplified products, detected EGFR mutations with comparable sensitivity (95%) and specificity (96%) to direct sequencing and RT-PCR.40

Non-PCR-based targeted methods listed in table 1 include Smart Amplification Process (SmartAMP), a one-step mutation-detection technology that enables precise amplification of only target sequences.42 In a study by Hoshi and colleagues, SmartAMP and direct sequencing showed high concordance when used to assess frozen clinical samples for the two most common EGFR mutations and the exon 18 G719S point mutation.41 A modification of this technique, peptide nucleic acid (PNA)-clamp SmartAmp2, in which oligomers of PNA (a synthetic DNA analogue) bind to wild-type DNA sequences spanning mutational hotspots, preferentially allowing for mutant DNA amplification,39 has been investigated in two studies.42 43 One study found that PNA-clamp SmartAmp2 was more sensitive than direct sequencing at detecting the two main EGFR mutations using both frozen and FFPE tissue samples.42 Similarly, a second study reported greater sensitivity of this technique compared with direct sequencing, PNA-enriched sequencing, and conventional SmartAmp2.43

Several of the studies listed in table 1 used immunohistochemistry (IHC) for the targeted mutation analysis of tissue samples.44–49 These studies utilised two mutant-specific rabbit monoclonal antibodies directed against the exon 19 A746_A750 deletion and L858R, and most reported high sensitivity and specificity for mutant-specific IHC versus direct sequencing and/or other comparator methods.

Use of cytology samples for EGFR mutation testing

In total, 33 original studies reporting the use of cytology samples for EGFR mutation testing were identified by our literature search (table 3). Commonly tested cytology samples included tissue samples collected during diagnosis (eg, fine needle aspirate (FNA) samples acquired via minimally invasive biopsy procedures, which often contain high proportions of tumour cells) or liquid-based samples obtained from patients experiencing common complications of lung cancer (eg, PLE, which often have low tumour cell content). Use of sensitive mutation testing methods is warranted when cytology samples with low tumour content are used. In two separate studies, EGFR mutations detected by mutant-enriched PCR in some PLE samples were not detected by non-enriched assays.29 50 Similarly, the sensitive ARMS technique has been shown to detect mutations in PLE samples not identified via direct sequencing.51 Interestingly, the detection rate of EGFR mutations with direct sequencing improved from 45% when using genomic DNA to 67% when using tumour-derived RNA isolated from PLE samples as an alternative source.52 ARMS was also more sensitive than direct sequencing in studies utilising transbronchial FNA.53 Our search showed that the use of FNA for detection of EGFR mutations has been relatively widely investigated (table 3). Several FNA-generating techniques used for the diagnosis and staging of lung cancers have attracted particular interest in this regard: endobronchial ultrasound-guided fine needle aspiration (EBUS-FNA), trans-oesophageal ultrasound-guided fine needle aspiration (EUS-FNA), and CT-guided FNA. Cytology samples obtained via these techniques were successfully assessed for EGFR mutations using direct sequencing.54 55 Other studies have reported the successful use of EBUS-FNA and/or EUS-FNA samples with real-time PCR,56 57 COLD-PCR,58 PNA-locked nucleic acid (LNA) PCR clamp,59 or loop-hybrid mobility shift assay.60

Table 3.

Studies of EGFR mutation testing methods using cytology samples collected from patients with lung cancer

Reference Cytology samples (no. of samples for mutation analysis (fail data if available)) Method(s) of EGFR mutation testing assessed Authors’ conclusions on use of cytology samples for EGFR mutation testing
Asano et al29 Cell-free PLE (n=20), CT-guided needle lung biopsies (n=18) Mutant-enriched PCR versus non-enriched PCR and direct sequencing Mutant-enriched PCR detected EGFR alterations that were not identified with a non-enriched assay
Fassina et al61 TTNA samples (n=77) HRMA versus direct sequencing HRMA of TTNA samples was accurate, fast, easy, cheap, and reliable for the detection of common EGFR mutations
Hlinkova et al62 Cytological samples obtained by endobronchial brushing (n=53) HRMA versus direct sequencing (with mutant-enriched PCR if <25% tumour cells) HRMA in combination with mutant-enriched PCR is a sensitive method for mutation detection in cytology samples
Horiike et al53 Transbronchial FNA (n=93 (10 fails (11%) with direct sequencing; 0 fails with Scorpion ARMS)) Scorpion ARMS versus direct sequencing Both methods detected EGFR mutations in transbronchial FNA samples although Scorpion ARMS was more sensitive
Kawahara et al63 PLE (n=21), CSF (n=2), and ascites (n=1) Immunocytochemistry versus PNA-LNA PCR clamp EGFR mutations were detected in PLE and CSF with 100% sensitivity using antibodies specific for the exon 19 deletion E746_A750 and the exon 21 point mutation L858R
Kimura et al64 Cell-free PLE (n=43) Direct sequencing DNA in PLE can be used to detect EGFR mutations
Kimura et al51 Cell-free PLE (n=24) Scorpion ARMS versus direct sequencing DNA in PLE can be used to detect EGFR mutations. Scorpion ARMS was more sensitive than direct sequencing
Kozu et al44 Imprint cytological smears from fresh-cut surface of resected tumour specimens (n=36) HRMA versus IHC (Results of cytology sample analyses were combined with those of 541 tissue specimens (see table 2))
Lim et al65 FNA (n=29) Whole genome amplification followed by direct sequencing EGFR mutations were identified using direct sequencing of whole genome-amplified genomic DNA from low-volume FNA samples
Lozano et al66 Primary lung tumour FNA (n=68), metastatic lymph node FNA (n=10), bone metastases FNA (n=3), left adrenal metastasis FNA (n=1), PLE (n=6), PCE (n=1), and bronchoalveolar lavage (n=1) Direct sequencing Assessment of EGFR mutation in cytology samples is feasible and comparable with biopsy results
Nakajima et al60 EBUS-TBNA samples from metastatic lymph nodes (n=43) Loop-hybrid mobility shift assay confirmed by direct sequencing EGFR mutations can easily be detected in metastatic lymph nodes samples by EBUS-TBNA
Oshita et al67 Cytology samples obtained by transbronchial abrasion (n=52) (2 fails (4%)) Loop-hybrid mobility shift assay Assessment of EGFR mutations in cytological samples is feasible and comparable with biopsy results
Otani et al30 Biopsy needle wash fluid (n=26) Mutant-enriched PCR versus non-enriched PCR versus direct sequencing EGFR mutations can be detected in the wash fluid of CT-guided biopsy needles
Rekhtman et al68 Transbronchial/transthoracic FNA (n=67), extrathoracic FNA (n=29), PLE (n=29), and bronchial brush/wash (n=3) (2 failures (2%)) Length analysis and PCR-RFLP EGFR analysis is feasible in routinely processed cytology samples
Savic et al69 Transbronchial FNA (n=35), PLE (n=16), bronchial washing (n=15), bronchial brushes (n=13), and bronchoalveolar lavage (n=5) PCR-direct sequencing EGFR analyses are applicable to cytology specimens
Schuurbiers et al54 EBUS-/EUS-FNA samples (n=35 (8 fails (23%)) Direct sequencing Molecular analysis for EGFR mutations can be performed routinely in EBUS-/EUS-FNA samples
Soh et al50 Cell-free PLE (n=61) Direct sequencing versus mutant-enriched PCR versus non-enriched PCR versus PNA-LNA PCR-clamp Some discrepancies between the results of the four assays were noted. Mutant-enriched PCR detected the most mutations
Takano et al23 Bronchial brushing/washing (n=43), PLE (n=40), transbronchial FNA (n=9), PCE (n=8), superficial lymph node FNA (n=7), tumour FNA (n=6), and sputum (n=4) HRMA versus direct sequencing Exon 19 deletions and the exon 21 point mutation L858R can likely be detected from archived Papanicolaou-stained cytology slides with sensitivity of ca. 90% and specificity of ca. 100%
van Eijk et al56 EBUS-TBNA/EUS-FNA samples (numerous samples from 43 patients) Real-time PCR with hydrolysis probes All mutations detected in matched histological samples were also identified in the cytology samples
Yasuda et al70 ELF (n=23) PNA-LNA PCR clamp Sensitivity for detecting mutations in ELF was 58%
Zhang et al71 PLE cells and matched cell-free PLE (n=26) Mutant-enriched PCR versus direct sequencing Direct sequencing may miss a significant proportion of mutations in PLE samples. Mutant-enriched PCR may be more reliable
Smits et al72 Cytology and FFPE samples (n=816; 719 samples had interpretable result) Direct sequencing or HRMA (Results of cytology sample analyses were combined with those of FFPE specimens)
Tsai et al73 PLE (n=78) IHC versus direct sequencing EGFR mutations were detected in PLE with 71% and 88% sensitivity using antibodies specific for the exon 19 deletion E746_A750 and the exon 21 point mutation L858R, respectively
Correlation of TKI response rate with EGFR mutation status was comparable when determined by IHC and direct sequencing (67% vs 72%)
Navani et al57 EBUS-TBNA samples (n=774) ARMS or MassARRAY EBUS-TBNA cytology samples are suitable for EGFR analysis
Aisner et al74 Cytology cell blocks, including FNA of primary and metastatic lung lesions and exfoliative cytology specimens (n=42) PCR-sequencing Cell block specimens provide an alternative DNA source to surgical specimens for EGFR analysis
Zhuang et al55 CT-guided FNA biopsy (n=43)  Direct sequencing CT-guided FNA biopsy is a feasible and safe method to provide samples for EGFR analysis
Santis et al58 EBUS-TBNA lymph node samples (n=131; successful analysis of 126 samples) COLD-PCR EBUS-TBNA samples provide sufficient tumour material for EGFR mutation analysis
COLD-PCR is a robust screening assay for EGFR mutations
Malapelle et al75  LBC (n=42) Direct sequencing LBC samples can be used for EGFR mutation analysis; however, direct sequencing requires micro-dissection to provide sufficient sample DNA
Betz et al76 Romanowsky-stained direct cytology smears (n=33) Direct sequencing Following micro-dissection, direct smears can be used as a specimen source for EGFR analysis when cell blocks exhibit insufficient cellularity
Cho et al77 Body fluid specimen (n=32: pleural fluids (n=29), CSF (n=1), pericardial (n=1), and ascites (n=1)) Direct sequencing Combined direct sequencing and cytological analysis might be clinically useful and sensitive for the detection of EGFR mutations
Tsai et al52 PLE (n=150) Direct sequencing of cell-derived RNA versus genomic DNA Sequencing of RNA improves sensitivity for EGFR mutation detection in PLE samples compared with genomic DNA
Lozano et al66 Cytology samples (n=150: Papanicolaou smears (n=120), Fresh/liquid (n=14), cell block (n=10), ThinPrep tests (n=6)) Direct sequencing EGFR analysis using cytological samples is feasible and comparable with biopsy results
Nakajima et al59 EBUS-TBNA metastatic lymph node samples (n=156) PNA-LNA PCR clamp EBUS-TBNA samples can be used for multi-gene mutational analysis

Only studies identified by our literature search and meeting the criteria described in the Methods are listed.

ARMS, Amplification Refractory Mutation System; COLD-PCR, coamplification at lower denaturation temperature PCR; CSF, cerebrospinal fluid; EBUS-FNA, endobronchial ultrasound-guided fine needle aspiration; EBUS-TBNA, endobronchial ultrasound-guided transbronchial needle aspiration; EGFR, epidermal growth factor receptor; ELF, epithelial lining fluid; EUS-FNA, trans-oesophageal ultrasound scanning with fine needle aspiration; FFPE, formalin-fixed paraffin-embedded; FNA, fine needle aspirate; HRMA, high-resolution melting analysis; IHC, immunohistochemistry; LBC, liquid-based cytology; MassARRAY, matrix-assisted laser desorption/ionisation mass spectroscopy; PCE, pericardial effusion; PCR-RFLP, PCR-restriction fragment length polymorphism assay; PLE, pleural effusion; PNA-LNA, peptide nucleic acid-locked nucleic acid; TKI, tyrosine kinase inhibitor; TTNA, trans-thoracic needle aspiration.

Discussion and future perspectives

A variety of methods have been employed as potential alternatives to the historical standard for EGFR mutation testing, direct sequencing. In practice, the choice of testing method should be based primarily on the nature of the sample to be tested including tumour content (particularly for cytology material), the testing laboratory's expertise and available equipment, and whether detection of known activating EGFR mutations only is considered sufficient (figure 1).

Figure 1.

Figure 1

Factors determining the choice of EGFR mutation testing method.

Reflecting its position as the historical standard, direct sequencing was used as the comparator method in many of the studies identified by our search. The variability observed between studies when comparing sequencing to other mutation testing methods may be due to technical differences, such as primers or reagents used by individual laboratories. Perhaps the primary limitation of direct sequencing is its low sensitivity; indeed, a mutation should generally be present in approximately 20% of all DNA in a sample to be reliably detected by this method.78 79 In our experience, the approximate tumour content of lung tissue samples can range from 5 to 100%. Therefore, a limit of detection of 20% means that direct sequencing may offer insufficient sensitivity.80 Preparation of samples by macro-dissection or laser capture micro-dissection prior to DNA extraction, however, can enrich tumour cell content and thereby increase the utility of sequencing as a routine pre-treatment test.81 While relatively cost-effective from a reagent perspective compared with targeted methods,82 these preparatory enrichment methods are labour intensive and time consuming and provide a relatively marginal improvement. Alternative screening methods to direct sequencing include dHPLC and HRMA. Although dHPLC appears to have higher analytical sensitivity than direct sequencing,20 dHPLC requires extra processing steps after PCR amplification and the use of expensive instrumentation.22 HRMA has been proposed as an alternative, and is able to detect mutant genes at levels of 2.5–10%.22 24 HRMA is relatively inexpensive; however, samples testing positive by HRMA must then be analysed by direct sequencing to ensure that mutations are properly identified.24 This can be problematic when levels of mutant DNA do not permit analysis by direct sequencing.

Targeted methods, which detect specific mutations only, tend to be more sensitive in terms of limit of detection than screening techniques. ARMS, for example, is a simple PCR-based testing method shown to be more sensitive and robust than direct sequencing for the assessment of common EGFR mutations in FFPE tumour tissue.31 One other targeted method to be validated is fragment length analysis. While fragment length analysis is used widely in practice, it can only detect insertions or deletions and does not allow detection of point mutations in EGFR. Compared with some other methods, mutant-specific IHC is fast, cost-effective, and can be performed in most pathology laboratories.44 IHC, however, has not been widely adopted for EGFR mutation analysis amid concerns that it is not as sensitive or as specific as DNA-based molecular techniques. A study comparing EGFR mutation testing between 15 centres in France (the Evaluation of the EGFR Mutation Status for the Administration of EGFR-TKIs in Non-Small Cell Lung Carcinoma (ERMETIC) project) suggested that detection accuracy is dependent upon sample quality rather than the sequencing method used, highlighting the importance of good sample collection and processing techniques.83 For poor quality samples, care must be taken to ensure the selection of tumour cells, in addition to the DNA concentration, as test results are frequently dependent on both these parameters.

The availability of targeted methods with high sensitivity offers the potential for accurate, rapid, and high-throughput analysis of clinical samples. The main theoretical drawback of these techniques is their inability to detect all activating EGFR mutations. The majority of clinical evidence to date robustly supports the use of EGFR TKIs in patients with the two most common activating mutations in EGFR (exon 19 deletions and the L858R point mutation in exon 21), and most targeted methods are specifically designed to detect these mutations. However, clinical data on less common mutations are emerging and further research is required to fully inform predictable outcomes on EGFR TKIs, aided by the use of sample micro dissection followed by screening methods, to ensure identification of all known mutations.18 While targeted methods can fail to detect some of the rare mutations which are detected by screening, it is anticipated that rare mutations demonstrated to have therapeutic implications will subsequently be included in targeted screening approaches, thus ensuring all patients will benefit from the appropriate therapy. Both screening and targeted methods have been used to identify EGFR mutations in clinical trials of EGFR TKIs in patients with advanced NSCLC.6–10 14–16 84 These trials were not identified by our search due to our focus on method comparison studies. In practice, laboratories can opt to use commercially available kits or to develop their own tests. Testing kits such as those utilising the ARMS method have the advantages of being validated, ready for use and quality controlled. Laboratory-developed tests, many of which were identified by our search, may be less expensive, but take time to develop and validate and may have limited quality control. If procedures for EGFR mutation testing are not established at a local level, use of one of a number of global testing laboratories may be considered. Such laboratories use a variety of methods for EGFR mutation testing including commercially available kits and laboratory-developed tests.

Our literature search confirmed that cytology samples are suitable testing material for EGFR mutation testing and that detection rates appear to be as high as those obtained with traditional tissue samples. The suitability of cytology samples for routine clinical practice has been recognised in published recommendations for EGFR mutation testing.85 Of note, in the recent study of Goto and colleagues, published after we performed our literature search, five different EGFR testing methods (PCR-Invader, PNA-LNA-PCR clamp, PCR-direct sequencing, cycleave PCR, and ARMS) showed comparable performance in the assessment of tissue and cytology samples. Furthermore, the concordance between matched tumour and cytology samples was extremely high.86

There is a growing trend toward the extensive molecular characterisation of tumours so that the most appropriate therapy can be selected. This is exemplified in the Biomarker-integrated Approaches of Targeted Therapy for Lung cancer Elimination trial, in which patients are adaptively randomised to various treatments based on relevant molecular biomarkers.87 This approach has been made possible by the availability of methods such as Sequenom MassArray,88 SNaPshot,89–91 and arrays of mutation-specific PCR assays (eg, qBiomarker Somatic Mutation PCR Array), and through the use of next-generation sequencing. These methods can rapidly and sensitively detect many known mutations in a relatively small amount of DNA. Using such gene panel approaches will no doubt increase our knowledge of pharmacogenetic predictive biomarkers and therefore improve patient outcomes by ensuring that each patient is given a treatment with the most likely chance of success. To date, no point-of-care devices are available for EGFR mutation testing; the future development of such devices would be welcome and would help ensure that treatment is not delayed while test results are awaited.

Conclusions

The EGFR mutation testing landscape is varied and includes a number of screening and targeted methods. Each method has its own benefits and limitations and the choice of method used in practice should be made according to the nature of the sample to be tested, the testing laboratory's expertise and access to equipment, and whether detection of known activating EGFR mutations only or all possible mutations is required. Cytology samples can be used to reliably detect EGFR mutations. Mutation detection rates with cytology samples are comparable with those achieved with traditional tissue samples obtained by biopsy or resection.

Key messages.

  • The development of targeted EGFR mutation testing methods and commercially available test kits has enabled sensitive, rapid and robust analysis of clinical samples from patients with NSCLC.

  • The use of screening methods, either used alone or in conjunction with targeted methods, enables the detection of more rare and novel EGFR mutations.

  • Evidence published to date suggests cytology samples (including fine needle aspirate and pleural effusion) are viable alternatives for mutation testing when tumour tissue samples are not available.

  • The choice of method used in practice should be made according to the nature of the sample to be tested, the testing laboratory’s expertise and access to equipment, and whether detection of known activating EGFR mutations only or all possible mutations is required.

Acknowledgments

Medical writing support was provided by Rick Flemming, PhD, CMPP and Annette Smith, PhD of Complete Medical Communications, and was funded by AstraZeneca.

Footnotes

Contributors: All authors made substantial contributions to the conception, design and execution of the review and interpretation of the data. All authors contributed to the intellectual content of the manuscript, reviewed and critically revised it and approved of the final submitted version.

Funding: This study, including design, collection/analysis/interpretation of data, writing, and decision to submit this manuscript for publication was supported by AstraZeneca.

Competing interests: GE, GZ, AM, SD, GS, and RM are full-time employees of AstraZeneca. GE, SD, GS, and RM are holders of AstraZeneca shares.

Provenance and peer review: Not commissioned; externally peer reviewed.

Open Access: This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

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