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American Journal of Clinical Pathology logoLink to American Journal of Clinical Pathology
. 2019 Jul 2;152(5):570–581. doi: 10.1093/ajcp/aqz077

Clinical Validation of Discordant Trunk Driver Mutations in Paired Primary and Metastatic Lung Cancer Specimens

Li-Hui Tseng 1,3, Federico De Marchi 1, Aparna Pallavajjalla 1, Erika Rodriguez 1, Rena Xian 1, Deborah Belchis 1, Christopher D Gocke 1,2, James R Eshleman 1,2, Peter Illei 1, Ming-Tseh Lin 1,
PMCID: PMC6779251  PMID: 31264684

Abstract

Objectives

To propose an operating procedure for validation of discordant trunk driver mutations.

Methods

Concordance of trunk drivers was examined by next-generation sequencing in 15 patients with two to three metastatic lung cancers and 32 paired primary and metastatic lung cancers.

Results

Tissue identity was confirmed by genotyping 17 single-nucleotide polymorphisms within the panel. All except three pairs showed concordant trunk drivers. Quality assessment conducted in three primary and metastatic pairs with discordant trunk drivers indicates metastasis from a synchronous or remote lung primary in two patients. Review of literature revealed high discordant rates of EGFR and KRAS mutations, especially when Sanger sequencing was applied to examine primary and lymph node metastatic tumors.

Conclusions

Trunk driver mutations are highly concordant in primary and metastatic tumors. Discordance of trunk drivers, once confirmed, may suggest a second primary cancer. Guidelines are recommended to establish standard operating procedures for validation of discordant trunk drivers.

Keywords: Discordance, Trunk driver mutations, Lung cancers, KRAS, EGFR, Quality assessment


Mutational profiling identifies genomic alterations for targeted therapy in metastatic non–small cell lung cancers (NSCLCs).1 The US Food and Drug Administration has approved several epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors for EGFR mutations, combined BRAF inhibitor and MEK inhibitor for BRAF p.V600E mutation, and ALK/ROS1 tyrosine kinase inhibitors for ALK and ROS1 translocations.1 Molecular testing guidelines for standard-of-care targeted therapy in patients with metastatic NSCLC have been accordingly updated by the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.2

Driver mutations are categorized into trunk (initiating) drivers and branching drivers.3-5 Multiple trunk driver mutations cooperate to initiate the formation of a founding cancer cell. Subsequently, branching driver mutations lead to subclonal evolution of the malignancy. Trunk driver mutations, by definition, are expected to be present in each neoplastic cell of the primary and metastatic cancers. By tracking the evolution of adenocarcinomas of the lungs, most hotspot activating mutations in the EGFR, BRAF, and KRAS genes are trunk drivers Table 1.5,6 However, many reports have shown discordant EGFR and/or KRAS mutations between paired primary and metastatic lung cancer specimens, suggesting the presence of tumor heterogeneity.7-30 The discordance rates can be high and have been reported to be approximately 15% for EGFR and KRAS mutations in a meta-analysis.31

Table 1.

Common Driver Mutations of Lung Adenocarcinomas

Gene Hotspot
Trunk drivers
 BRAF Codon 600a
 EGFR Exons 18-21
 KRAS/NRAS Codons 12, 13, 59, 61, 117, 146
 MET Exon 14 skipping mutations
 ALK, RET, ROS1 Translocation
Branching drivers
 PIK3CA Codons 542, 545, 1047
TP53 Exons 5-9

aOther BRAF mutations involving codons 466, 469, 594, and 601 may also be trunk driver mutations of lung adenocarcinomas.

Unexpected discordance of trunk driver mutations raises concern of laboratory errors, which may occur in any step of the preanalytic, analytic, and/or postanalytic phases.32,33 Use of assays with a lower analytic sensitivity, such as Sanger sequencing, may also contribute to false detection of discordance,12,18,28 especially in a clinical diagnostics setting in which specimens with low tumor cellularity are common.34,35 Next-generation sequencing (NGS) platforms have been widely implemented in the clinical diagnostics laboratories. NGS provides mutational profiling with a higher analytic sensitivity for detection of mutations with lower variant allelic frequencies (VAFs) and a broader reportable range of mutations using a panel of genes.34 In addition, the presence of reference ranges within the NGS panel, such as germline single-nucleotide polymorphisms (SNPs), can be used to confirm tissue identity.36,37 In this retrospective study for quality assessment of clinical mutational profiling by NGS, we propose an operating procedure to confirm discordant trunk driver mutations in paired primary and metastatic lung cancer specimens and demonstrate potential clinical implications of mutational profiling of paired specimens.

Such investigations are clinically important, as concordant mutational findings would support a common clonal origin, whereas discordant trunk driver mutations, once confirmed, may suggest a secondary primary.

Materials and Methods

Materials

Between April 2013 and December 2016, the Molecular Diagnostics Laboratory at the Johns Hopkins Hospital performed NGS studies on 1,329 formalin-fixed, paraffin-embedded (FFPE) specimens with a diagnosis of lung adenocarcinoma, adenosquamous carcinoma, or non–small cell carcinoma. Patients who received prior tyrosine kinase inhibitor therapy were excluded. Paired specimens submitted from synchronous or metachronous lung nodules from the same patients were not included in this study. There were 15 patients with multiple metastatic tumors (14 with two metastatic specimens and one with three metastatic specimens) and 32 patients with primary and metastatic specimens. This included a patient with a primary tumor and two metastatic tumors Table 2 and Table 3. DNA was isolated from FFPE tissues, purified, and quantified as described previously.38 The Johns Hopkins Medicine institutional review board granted approval to this study.

Table 2.

Fifteen Patients With Two to Three Metastatic Specimens

Case No. Metastatic Site Seven-Gene Profilinga
MM01 Brain (Re) KRAS p.G12D
Brain (Re) KRAS p.G12D
MM02 Chest wall (Re) KRAS p.G12A
Brain (Re) KRAS p.G12A
MM03 LN, right lower paratracheal (Re) No mutation
LN, supraclavicular (Bx) No mutation
MM04 LN, right lower paratracheal (FNA) KRAS p.G12A
Pleural effusion (FNA) KRAS p.G12A
MM05 Soft tissue (Bx) KRAS p.G12C
Abdominal wall (Bx) KRAS p.G12C
MM06 Brain, frontal (Re) KRAS p.G12C, PIK3CA p.E545K
Brain, occipital (Re) KRAS p.G12C, PIK3CA p.E545K
MM07 Pleura (Re) KRAS p.G12V, NRAS p.G12D
Pleural effusion (FNA) KRAS p.G12V, NRAS p.G12D
MM08 Liver (Bx) KRAS p.G13D
Pleural effusion (FNA) KRAS p.G13D
MM09 LN, right lower paratracheal (FNA) KARS p.A146T, BRAF p.G466V
LN, supraclavicular (Bx) KARS p.A146T, BRAF p.G466V
MM10 Pleural effusion (FNA) EGFR p.L858R
Pleura (Re) EGFR p.L858R
MM11 Pleural effusion (FNA) KRAS p.G12A, PIK3CA p.E542K
Pleura (Re) KRAS p.G12A, PIK3CA p.E542K
MM12 LN, cervical (Re) No mutation
Adrenal (Bx) No mutation
MM13 LN, subcarinal (FNA) No mutation
LN, right hilar (FNA) No mutation
MM14b LN, pretracheal (FNA) NRAS p.G12D
Small bowel (Re) NRAS p.G12D
MM15 Pleura (Re) ERBB2 p.G778_P780dup
Liver (Bx) ERBB2 p.G778_P780dup
Liver (Bx) ERBB2 p.G778_P780dup

Bx, biopsy; FNA, fine-needle aspiration; LN, lymph node; Re, resection.

a AKT1, BRAF, EGFR, ERBB2, KRAS, NRAS, and PIK3CA genes.

bCase MM14 and case PM29 in Table 3 were submitted from the same patient with a primary tumor and two metastatic tumors.

Table 3.

Thirty-Two Patients With Primary and Metastatic Specimens

Case No.a Specimen Seven-Gene Profilingb
PM01p Lung, left (Bx) No mutation
PM01m LN, subcarinal (FNA) No mutation
PM02p Lung (Bx) No mutation
PM02m Brain (Re) No mutation
PM03p RUL (Re) KRAS p.A146V
PM03m LN, right lower paratracheal (FNA) No mutation
PM04p RUL (Bx) BRAF p.V600E, AKT1 p.E17K
PM04m Brain (Re) BRAF p.V600E, AKT1 p.E17K
PM05p RUL (Re) No mutation
PM05m LN, right hilar (FNA) No mutation
PM06p RUL (Bx) EGFR p.D770_N771insY
PM06m Brain (Re) EGFR p.D770_N771insY
PM07p LLL (Bx) No mutation
PM07m Peritoneum (Bx) No mutation
PM08p RML/RLL (Bx) No mutation
PM08m LN, subcarinal (FNA) No mutation
PM09p RUL (FNA) KRAS p.G12C
PM09m Pleura (Re) KRAS p.G12C
PM10p LUL (Re) KRAS p.G13D
PM10m LN, right interlobar (FNA) EGFR p.E746_A750del
PM11p RUL (Bx) No mutation
PM11m Liver (Bx) No mutation
PM12p RUL (Bx) KRAS p.G12C
PM12m Pleural effusion (FNA) KRAS p.G12C
PM13p LLL (FNA) No mutation
PM13m Brain (Re) No mutation
PM14p LUL (Re) No mutation
PM14m Rib (FNA) No mutation
PM15p RUL (FNA) No mutation
PM15m Brain (Re) No mutation
PM16p RUL (Re) EGFR p.E746_A750del
PM16m LN, right lower paratracheal (FNA) EGFR p.E746_A750del
PM17p RUL (Bx) KRAS p.G12V
PM17m LN, right lower paratracheal (FNA) KRAS p.G12V
PM18p RUL (Re) KRAS p.G12V
PM18m Pleural effusion (FNA) KRAS p.G12V
PM19p Lung, left (Bx) EGFR p.L858E
PM19m Bone, acronium (Bx) EGFR p.L858E
PM20p Lung (FNA) No mutation
PM20m Brain (Re) No mutation
PM21p LLL (Bx) No mutation
PM21m LN, cervical (Bx) No mutation
PM22p Lung, left (Bx) No mutation
PM22m LN, left lower paratracheal (FNA) No mutation
PM23p RUL (Re) KRAS p.G12A
PM23m Bone, spine (Bx) KRAS p.G12A
PM24p LUL (Re) EGFR p.E746_A750del
PM24m LN, right lower paratracheal (FNA) EGFR p.E746_A750del
PM25p LUL (FNA) KRAS p.G12C
PM25m LN, right lower paratracheal (FNA) KRAS p.G12C
PM26p RML (Re) BRAF p.V600E
PM26m Brain (Re) No mutation
PM27p RUL (Re) No mutation
PM27m LN, right upper paratracheal (Bx) No mutation
PM28p LUL (Bx) No mutation
PM28m Brain (Re) No mutation
PM29pc RUL (Re) NRAS p.G12D
PM29m1c LN, pretracheal (FNA) NRAS p.G12D
PM29m2c Small bowel (Re) NRAS p.G12D
PM30p RUL (Bx) No mutation
PM30m LN, right upper paratracheal (Re) No mutation
PM31p RUL (Bx) KRAS p.G13C
PM31m Brain (Re) KRAS p.G13C
PM32p RLL (Re) KRAS p.G12V
PM32m LN, right lower paratracheal (FNA) KRAS p.G12V

Bx, core biopsy; FNA, fine-needle aspiration; LLL, left lower lobe; LN, lymph node; LUL, left upper lobe; Re, resection; RLL, right lower lobe; RML, right middle lobe; RUL, right upper lobe.

ap, primary tumor; m, metastatic tumor.

b AKT1, BRAF, EGFR, ERBB2, KRAS, NRAS, and PIK3CA genes.

cCase PM29 and case MM14 in Table 2 were submitted from the same patient with a primary tumor and two metastatic tumors.

NGS

NGS was conducted using the AmpliSeq Cancer Hotspot Panel (v2) for targeted multigene amplification (Life Technologies), as described previously.39 Briefly, we used the Ion AmpliSeq Library Kit 2.0 for library preparation, Ion OneTouch 200 Template Kit v2 DL (or Ion Personal Genome Machine Hi-Q OT2 Kit) and Ion OneTouch 2 Instrument for emulsion polymerase chain reaction (PCR) and template preparation, and the Ion Personal Genome Machine 200 Sequencing Kit (or Ion Personal Genome Machine Hi-Q Sequencing Kit lately) with the Ion 318 Chip and Personal Genome Machine (Life Technologies) as the sequencing platform.

Mutations were identified and annotated through both Torrent Variant Caller (Life Technologies) and direct visual inspection of the binary sequence alignment/map file using the Broad Institute’s Integrative Genomics Viewer, as described previously.39,40 All specimens were initially analyzed for AKT1 (NM_005163), BRAF (NM_004333), EGFR (NM_005228), ERBB2 (NM_004448), KRAS (NM_033360), NRAS (NM_002524), and PIK3CA (NM_006218) genes for clinical reporting (seven-gene profiling). The entire 50-gene panel, including TP53 gene (NM_000546), was retrospectively examined when discordance of seven-gene profiling was observed. The performance characteristics, including analytic sensitivity (2% mutant allele) and reportable ranges of this NGS assay in lung cancer specimens, have been reported previously.39

Quality Assessment for Discordant Trunk Driver Mutations

An operating procedure was proposed for clinical validation of unexpected discordant results of trunk driver mutations Figure 1. H&E-stained slides were reviewed by the molecular pathologists to reevaluate if the tumor cellularity within the designated area(s) for DNA extraction was initially overestimated for the analytic sensitivity (or limit of detection) of the assay. Tissue identity was examined using the genotypes of SNPs within the NGS panel. This was followed by review of H&E slides for histomorphology and immunohistochemistry (IHC) stains by the surgical pathologists, as well as reevaluation of clinical scenarios, such as medical history and image studies, to determine potential causes of the discordance, such as a synchronous primary cancer or a remote primary cancer.

Figure 1.

Figure 1

Proposed operating procedure to evaluate unexpected discordance of trunk driver mutations in lung cancers. Microsatellite assay for tissue identity may be avoided if histomorphology and/or detailed clinical history are available for reevaluation. NGS, next-generation sequencing; QA, quality assessment; SNP, single-nucleotide polymorphism.

Tissue Identity

Genotyping of 17 SNPs within the NGS panel was used to confirm tissue identity. The population minor allele frequency of these SNPs ranged from 6% to 46% according to the 1000 Genomes database Table 4. Tissue identity was also retrospectively examined by microsatellite analysis using the AmpFlSTR Identifiler kit (Applied Biosystems) as described previously.41 The assay has been validated for tissue identity and posttransplant chimerism in our laboratory. The limit of detection for the minor component is 1% to 5% of alleles.

Table 4.

Single-Nucleotide Polymorphisms With a 5% or More Minor Allele Frequency Within the Reportable Ranges of the AmpliSeq Cancer Hotspot Panel

Gene rs Number cDNA Change a.a. Change Ref. Number MAF, %a
APC rs41115 c.4479G>A p.T1493= NM_000038 33
EGFR rs1050171 c.2361G>A p.Q787= NM_005228 43
ERBB4 rs839541 c.421 + 58A>G NA NM_005235 36
FLT3 rs2491231 c.1310-3T>C NA NM_004119 44
HRAS rs12628 c.81T>C p.H27= NM_005343 30
IDH1 rs11554137 c.315C>T p.G105= NM_005896 6
KDR rs1870377 c.1416A>T p.Q472H NM_002253 21
KDR rs7692791 c.798 + 54G>A NA NM_002253 46
KIT rs3822214 c.1621A>C p.M541L NM_000222 7
MET rs35775721 c.534C>T p.S178= NM_000245 9
PDGFRA rs2228230 c.2472C>T p.V824= NM_006206 24
PIK3CA rs3729674 c.352 + 40A>G NA NM_006218 27
PIK3CA rs2230461 c.1173A>G p.I391M NM_006218 9
RET rs1800861 c.2307T>G p.L769= NM_020975 29
RET rs1800863 c.2712C>G p.S904= NM_020975 17
SMARCB1 rs5030613 c.1119-41G>A NA NM_003073 15
STK11 rs2075606 c.465-51T>C NA NM_000455 36

a.a. change, amino acid change; cDNA, complementary DNA; NA, not applicable, located within introns; Ref. number, reference sequence number.

aMinor allele frequency (MAF) according to the 1000 Genomes database.

Statistical Analysis

Fisher exact test or χ2 test was performed to calculate P values.

Results

Tissue Identity

Examination of 17 SNPs within the NGS panel revealed identical genotyping between all paired and trio specimens, excluding the possibility of tissue or analyte swapping during the entire processes of assays.

Multiple Metastatic Lung Cancer Specimens

Specimens were taken from two to three metastatic sites in 15 patients (Table 2). Results of the seven-gene profiling were all concordant, including three pairs with no mutation, five pairs with a KRAS mutation, one pair with an NRAS mutation, one pair with an EGFR mutation, two pairs with coexisting KRAS and PIK3CA mutations, one pair with coexisting KRAS p.G12V and NRAS p.G12D mutations, and one pair with coexisting KRAS p.A146T and BRAF p.G466V mutations. Three metastatic sites from one patient showed an ERBB2 p.G778_P780dup mutation.

Paired Primary and Metastatic Lung Cancer Specimens

Specimens were taken from the primary and metastatic tumors in 32 patients, including a patient with one primary tumor and two metastatic tumors (Table 3). Results of the seven-gene profiling were concordant in 29 pairs, including 15 pairs with no mutation, eight pairs with a KRAS mutation, four pairs with an EGFR mutation, one pair with an NRAS mutation, and one pair with coexisting BRAF p.V600E and AKT1 p.E17K mutations. Discordant results of trunk driver mutations were seen in three patients.

VAF

A total of 27 pairs shared the same trunk driver mutations, including activating EGFR, KRAS, NRAS, and BRAF p.V600E mutations. VAFs were less than 15% in both specimens of one pair and in one specimen of 10 (37%) of 27 pairs Figure 2. VAFs were less than 10% in both specimens of one pair and in one specimen of five (19%) of 27 pairs.

Figure 2.

Figure 2

Variant allele frequency (VAF) of the trunk driver mutations in the BRAF, EGFR, KRAS, and NRAS genes among the paired lung cancer specimens.

Paired Primary and Metastatic Specimens With Discordant Trunk Driver Mutations

Quality assessment was conducted to elucidate discordance observed in three pairs of primary and metastatic tumors. The entire 50-gene NGS panel, including the TP53 gene, was also analyzed. Tissue identity was confirmed by genotyping of 17 SNPs within the NGS panel. Microsatellite analysis also showed identical genotypes without sample mix-up.

In pair PM03 with the same IHC staining patterns (positive CK7 and CDX2 and negative napsin), NGS revealed a KRAS p.A146V mutation in the moderately differentiated adenocarcinoma resected from the right upper lobe after neoadjuvant therapy but not in the right paratracheal lymph node, which was taken by fine-needle aspiration 6 months before resection and contained an 11% to 30% estimated tumor cellularity Table 5. Retrospective analysis of a right paratracheal lymph node specimen, which was taken during the resection of the primary tumor and was 70% to 90% replaced by the metastatic adenocarcinoma, also did not reveal the KRAS p.A146V mutation. However, examination of two additional areas from the primary tumor showed the same KRAS mutation. No other mutations were detected within the entire 50-gene panel.

Table 5.

Discordant Trunk Driver Mutations Between Primary and Metastatic Lung Cancer Specimens

Pairsa Tumor %b Trunk Driver Mutations TP53
PM03
LN, 4R (FNA) 11-30 NMD (3/1158 reads)c NMD
RUL (Re: ypT2bypN1, 6 m) 21-40 KRAS p.A146V (12%) NMD
PM10
LN,11R (FNA) 61-80 EGFR p.E746_A750del (65%) NMD
LUL (Re: T1aNx, 1 m) 41-60 KRAS p.G13D (46%) p.R280K (23%)
p.N131S (6.0%)
PM26
RML (Re: T1aN0) 31-50 BRAF p.V600E (16%) NMD
Brain (Re, 24 m) 61-80 NMD (0/1272 reads) p.R158P (27%)

11R, right interlobar; FNA, fine-needle aspiration; 4R, right lower paratracheal; LN, lymph node; LUL, left upper lobe; NMD, no mutation detected; Re, resection; RML, right middle lobe; RUL, right upper lobe.

aNumber of months (m) in parentheses indicates duration after the first specimens were taken.

bTumor % is estimated tumor cellularity.

cBelow the limit of detection of the next-generation sequencing assay (3/1,158 = 0.3%).

In patient PM10, the fine-needle aspiration specimen of the right interlobar lymph node revealed an EGFR mutation while the resection specimen of the left upper lobe taken 1 month later showed a KRAS mutation (Table 5). H&E slides were reviewed by a pulmonary pathologist (P.I.). The distinct morphology (poorly differentiated adenocarcinoma with signet ring cell features in the lymph node and moderately differentiated adenocarcinoma with acinar, micropapillary, and lepidic patterns in the primary tumor) and the imaging studies suggest the origin of right interlobar lymph node metastasis from a second lung primary near the right hilum, instead of the KRAS-mutated primary tumor in the left upper lobe. No specimen was taken from the lung mass near the right hilus for confirmation.

In PM26, NGS detected a BRAF p.V600E mutation in the well-differentiated adenocarcinoma involving the right middle lobe (stage T1aN0), but TP53 p.R158P mutation in the poorly differentiated TTF-1–positive brain metastasis resected 2 year later (Table 5 and Image 1). Review of the clinical history revealed a TTF-1–positive poorly differentiated adenocarcinoma (stage T2N1) involving the left lower lobe resected 7 years before brain metastasis. Retrospective NGS analysis of the remote lung cancer revealed the same TP53 p.R158P mutation but not the BRAF p.V600E mutation Figure 3, indicating brain metastasis from a remote lung primary within the left lower lobe.

Image 1.

Image 1

Metachronous lung cancers with brain metastasis. Metastatic adenocarcinoma of the brain showed nuclear features and a predominantly solid growth pattern (A) similar to a remote lung cancer involving the left lower lobe (B) but different from a recent lung cancer with a predominantly acinar growth pattern involving the right middle lobe (C). (H&E, ×400)

Figure 3.

Figure 3

Brain metastasis from a remote lung primary. The same TP53 mutation was present in the brain metastasis and the lung primary within the left lower lobe (LLL) resected 7 years ago but not the BRAF-mutated lung primary within the right middle lobe (RML) resected 2 years ago.

Discussion

In this study for quality assessment of mutational profiling by NGS in paired primary and metastatic lung cancer specimens and multiple metastatic lung cancer specimens, trunk driver mutations are highly concordant. Trunk driver mutations in the EGFR, KRAS, or BRAF genes were concordant in 15 patients with multiple metastatic specimens but were discordant in three of 32 pairs of primary and metastatic specimens. Quality assessment according to an operating procedure indicates origin of metastasis from a synchronous lung primary in patient PM10 and from a remote lung primary resected 7 years ago instead of a recent lung primary in patient PM26. Further studies using a larger NGS panel for comprehensive multiregional analyses may be helpful to elucidate the underlying causes of discordant KRAS mutation between the lung primary and regional lymph node metastasis in patient PM03.

In a large-scale study, mutational patterns of metastatic lymph nodes were concordant with those of the primary tumors in 77 patients with an EGFR-mutated primary lung cancer and 55 patients with an EGFR wild-type primary lung cancer. Multiregional analysis of 55 EGFR-mutated lung cancers also showed identical mutational patterns within each subarea. These results indicate that heterogeneous distribution of EGFR mutations is extremely rare in lung cancers.23 However, discordant EGFR and KRAS mutations between paired primary and metastatic lung cancer specimens have been frequently reported, with a discordance rate of 14.5% and 16.7%, respectively, according to a meta-analysis.7-31 However, the discordance rates may be influenced by the prevalence of EGFR or KRAS mutations among different ethnic populations as well as the analytic sensitivity and reported ranges of the assays. When paired specimens with no mutations in both primary and metastatic tumors were removed from the denominator (ie, including only pairs with one or both specimens positive for the mutation as the denominator), the discordance rate was seen in 127 (30%) of 417 pairs for EGFR mutations from 22 studied populations Table 6 and in 67 (62%) of 108 pairs for KRAS mutations from 14 studied populations Table 7. The discordance rate of KRAS mutations was significantly higher than that for EGFR mutations in each subpopulation analysis: 40% (64/162) vs 71% (32/45) in the subgroup of metastatic lymph nodes analyzed by Sanger sequencing, 46% (39/85) vs 81% (22/27) in the subgroup of various metastatic sites analyzed by Sanger sequencing, and 0% (0/26) vs 19% (3/16) in the subgroup analyzed by NGS. These high discordance rates reported in the literature are incongruent with the fact that activating EGFR mutations are trunk driver mutations highly suitable for targeted therapy.1-3,5 Therefore, quality assessment measures are needed when potential discordance of trunk driver mutations is observed in paired primary and metastatic lung cancer specimens.

Table 6.

Discordant EGFR Mutations in Primary and Metastatic Lung Cancers Reported in the Literature

Seriesa Met Assay Met(–)/Pri(+), No. (%)b Pri(–)/Met(+), No. (%)c Discordant Rate, No. (%)d
Sanger: LN met
Park et al (101)7 LN Sanger 11/21 (52) 1/11 (9.1) 12/22 (55)
Schmid et al (96)8 LN Sanger 3/4 (75) 3/4 (75) 6/7 (86)
Sun et al (80)9 LN Sanger 2/21 (9.5) 7/26 (27) 7/26 (32) [2]
Chang et al (56)10 LN Sanger 10/20 (50)b 4/14 (29)c 14/24 (58)
Han et al (22)11 LN Sanger 1/7 (14) 0/6 (0) 1/7 (14)
Chen et al (49)12 LN Sanger 6/20 (30) 1/15 (6.7) 7/21 (33)
Kang et al (74)13 LN Sanger 6/31 (19)b 0/25 (0)c 6/31 (19)
Okada et al (14)14 LN PNA-Sanger 1/3 (33) 0/2 (0) 1/3 (33)
Shimizu et al (70)15 LN PNA-Sanger 10/21 (48) 0/11 (0) 10/21 (48)
 Subtotal 50/148 (34) 16/114 (14) 64/162 (40)
Sanger: variety met
Matsumoto et al (8)16 Brain Sanger 0/6 (0) 0/6 (0) 0/6 (0)
Kalikaki et al (25)17 Variety Sanger 1/2 (50)b 0/1 (0)c 1/2 (50)
Gow et al (67)18 Variety Sanger 7/16 (44)b 18/27 (67) 25/34 (74)
Munfus-McCray et al (9)19 Variety Sanger 1/3 (33) 0/2 (0) 1/3 (33)
Han et al (37)20 Variety Sanger 5/18 (28) 3/16 (19) 7/20 (35) [1]
Chen et al (35)12 Variety Sanger 4/19 (21) 1/16 (6.3) 5/20 (25)
 Subtotal 18/64 (28) 22/68 (32) 39/85 (46)
Sanger: all studies 68/212 (32) 38/182 (21) 103/247 (42)
Other assays
Fang et al (219)21 LN TaqMan 23/57 (40) 0/34 (0) 23/57 (40)
Luo et al (15)22 Brain ARMS 0/7 (0) 1/8 (13) 1/8 (13)
Yatabe et al (127)23 LN Variety 0/77 (0) 0/77 (0) 0/77 (0)
Quéré et al (18)24 Variety Variety 0/2 (0) 0/2 (0) 0/2 (0)
NGS assay
Vignot et al (15)25 Variety NGS 0/1 (0) 0/1 (0) 0/1 (0)
Xie et al (35)26 LN NGS 0/21 (0) 0/21 (0) 0/21 (0)
Current study (4) Variety NGS 0/4 (0) 0/4 (0) 0/4 (0)
 Subtotal 0/26 (0) 0/26 (0) 0/26 (0)
Total 91/381 (24) 39/329 (12) 127/417 (30)

ARMS, amplification mutation refractory system; LN, lymph node metastasis; Met, metastasis; NGS, next-generation sequencing; PNA-Sanger, peptide nucleic acid mediated polymerase chain reaction (PCR) and Sanger sequencing; TaqMan, TaqMan real-time PCR.

aNumber in the parentheses indicates total pairs of primary and metastatic specimens examined. Including 77 pairs with a known EGFR mutation in the primary tumor and 50 pairs with known wild-type EGFR in the primary tumor in Yatabe et al.23 Case PM10 in the current study was not included.

bNo. (%) of mutations detected in the primary tumor but not the metastatic tumor. Discordance of uncommon EGFR mutations was not included.

cNo. (%) of mutations detected in the metastatic tumor but not the primary tumor. Discordance of uncommon EGFR mutations or p.T790M mutation in the posttreatment metastatic specimens was not included.

dNumerator: numbers of pair with discordant EGFR mutation (mutation detected only in the primary tumor or the metastatic tumor, or different EGFR mutations detected). Denominator: pairs with EGFR mutation detected in one or two of the paired specimens. Number in the bracket indicates pairs with different EGFR mutations.

Table 7.

Discordant KRAS Mutations in Primary and Metastatic Lung Cancers Reported in the Literature

Seriesa Met Assay Met(–)/Pri(+), No. (%)b Pri(–)/Met(+), No. (%)c Discordant Rate, No. (%)d
Sanger: LN met
Schmid et al (96)8 LN Sanger 17/28 (61) 8/19 (42) 25/36 (69)
Sun et al (80)9 LN Sanger 0/1 (0) 6/7 (86) 6/7 (86)
Han et al (22)11 LN Sanger 1/2 (50) 0/1 (0) 1/2 (50)
 Subtotal 18/31 (58) 14/27 (52) 32/45 (71)
Sanger: variety met
Kalikaki et al (25)17 Variety Sanger 3/5 (60) 3/5 (60) 6/8 (75)
Monaco et al (40)27 Variety Sanger 9/11 (82) 2/4 (50) 9/11 (85) [2]
Cortot et al (21)28 Variety Sanger 3/3 (100) 4/4 (100) 6/6 (100) [1]
Han et al (37)20 Variety Sanger 0/1 (0) 1/2 (50) 1/2 (50)
 Subtotal 15/20 (75) 10/15 (67) 22/27 (81)
Sanger: all studies 33/51 (65) 24/42 (57) 54/72 (75)
Other assays
Badalian et al (11)29 Bone PCR/RFLP 2/3 (67) 2/3 (67) 4/5 (80)
Munfus-McCray et al (9)19 Variety Pyro 0/1 (0) 1/2 (50) 1/2 (50)
Alsdorf et al (19)30 LN ARMS 0/4 (0) 0/4 (0) 0/4 (0)
Quéré et al (18)24 Variety Variety 2/6 (33) 4/8 (50) 5/9 (56) [1]
NGS assay
Vignot et al (15)25 Variety NGS 0/4 (0) 0/4 (0) 0/4 (0)
Xie et al (35)26 LN NGS 1/2 (50) 1/2 (50) 2/3 (67)
Current study (10) Variety NGS 1/9 (11) 0/8 (0) 1/9 (11)
 Subtotal 2/15 (13) 1/14 (7.1) 3/16 (19)
Total 39/80 (49) 32/73 (44) 67/108 (62)

ARMS, amplification mutation refractory system; LN, lymph node metastasis; Met, metastasis; NGS, next-generation sequencing; Pyro, pyrosequencing; RFLP, restriction fragment length polymorphism.

aNumber in the parentheses indicates total pairs of primary and metastatic specimens examined. Case PM10 in the current study was not included.

bNo. (%) of mutations detected in the primary tumor but not the metastatic tumor.

cNo. (%) of mutations detected in the metastatic tumor but not the primary tumor.

dNumerator: numbers of pair with discordant KRAS mutation (mutation detected only in the primary or metastatic tumor, or different KRAS mutations detected). Denominator: pairs with KRAS mutation detected in one or two of the paired specimens. Number in the bracket indicates pair with different KRAS mutations.

In the clinical diagnostic setting, prior molecular diagnostic results should be reviewed and compared. Quality assessment should be considered in the presence of unexpected discordant findings. Trunk driver mutations should be concordant in all primary and metastatic cancer cells.3-5 Discordance of activating EGFR, KRAS, and BRAF mutations in paired lung cancer specimens taken from the same patient should raise a concern for laboratory errors. In contrast, branching driver mutation in the PIK3CA and TP53 genes or uncommon mutations in the EGFR, KRAS, or BRAF gene may be present in a subpopulation.5,33,42 While quality assessment may not be needed for discordant TP53 mutations, the same TP53 mutation seen in the brain metastasis and the remote lung primary of patient PM26 supports the common clonal origin.

Specimens with lower tumor cellularity are not uncommon in the clinical diagnostic setting.34,35 In our retrospective analysis of 1,006 lung cancers, NGS demonstrated a great analytic sensitivity, with 13% and 38% of mutations detected at a VAF at 2% to 10% and 2% to 20%, respectively.39 With an analytic sensitivity of 10% to 20% VAF depending on the context of sequences examined, Sanger sequencing might have missed 13% to 38% of mutations detected by NGS. The discordance rate reported in the literature was significantly higher when Sanger sequencing was used compared with NGS: 42% (103/247) vs 0% (0/26) for EGFR mutations and 75% (54/72) vs 19% (3/16) for KRAS mutations (Tables 6 and 7). In this study, five (or 10) of 27 pairs of primary and metastatic lung cancer specimens with concordant driver mutations might have shown discordant driver mutations if Sanger sequencing with an analytic sensitivity of 10% (or 15%) VAF had been used to detect mutations (Figure 2).

When unexpected discordant profiling is observed, H&E-stained slides should be reviewed to reevaluate if tumor cellularity within the designated area(s) selected for DNA extraction is sufficient for the analytic sensitivity of the assay. Specimens with prior neoadjuvant therapy or lymph node specimens containing minimal subcapsular or parenchymal infiltrative metastasis are particularly problematic.43,44 Therefore, mutations detected in the primary tumors may not be detected in the metastatic lymph nodes when Sanger sequencing is applied. As shown in Table 6, the same EGFR mutation was not detected in 50 (34%) of 148 paired metastatic lymph node specimens taken from patients with an EGFR-mutated primary lung cancer, while the same EGFR mutation was absent in 16 (14%) of 114 primary tumors when EGFR mutations were detected in their paired metastatic lymph nodes (P < .001). Examination of additional specimens with sufficient tumor cellularity and application of more sensitive assays may reduce the discordance rate.12,18,28,45

Unexpected discordance of trunk driver mutations in paired specimens with adequate tumor cellularity should prompt further quality assessment to identify potential laboratory errors. Laboratory errors may occur in any step of the preanalytic, analytic, and/or postanalytic phases. Mixing or swapping of analytes (tissue, DNA, PCR products, etc) or data files can lead to discordant results. When discordant profiling is detected by a simplex assay, such as Sanger sequencing, tissue identity should be examined by microsatellite analysis to exclude mixing or swapping during the process of tissue preparation or DNA extraction. Assays should be repeated to exclude laboratory errors during the sequencing process and data analysis. Alternative assays may be needed to exclude artifacts, especially when the incidence of rare mutations is relatively higher in the study cohort.17 When NGS analysis is conducted for mutational profiling, we recommend that tissue identity be simultaneously examined by a panel of SNPs.

Discordant profiling of trunk driver mutations in the EGFR, KRAS, and BRAF genes, once confirmed, suggests a different clonal origin. In paired specimens taken from separate lung nodules, it indicates two primary lung cancers as reported previously.46,47 In paired primary and metastatic specimens, it suggests tumor heterogeneity or metastasis from another primary cancer. H&E slides and IHC stains should be reviewed by surgical pathologists. Medical history and image studies should be evaluated to search for possible synchronous or remote primary cancer as shown in patients PM10 and PM26 in the current study.

Mutational profiling of lung cancers identifies mutations for targeted therapy and determines clonal origin of multiple specimens submitted from the same patient. In this retrospective quality assessment study, we showed a high concordance rate of trunk driver mutations in patients with primary and metastatic lung cancers and in patients with multiple metastatic lung cancers. While concordance of somatic mutations supports a common clonal origin, discordance of trunk driver mutations, once confirmed, may suggest a second primary cancer. Guidelines from official organizations are recommended for validation of discordant trunk drivers in both research and clinical diagnostic settings.

Acknowledgment

This work was supported by the National Institute of Health–National Cancer Institute of the United States (1UM1CA186691-01 to Michael Carducci).

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