Detection of known and novel ALK fusion transcripts in lung cancer patients using next-generation sequencing approaches


Rearrangements of the anaplastic lymphoma kinase (ALK) gene in non-small cell lung cancer (NSCLC) represent a novel molecular target in a small subset of tumors. Although ALK rearrangements are usually assessed by immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH), molecular approaches have recently emerged as relevant alternatives in routine laboratories. Here, we evaluated the use of two different amplicon-based next-generation sequencing (NGS) methods (AmpliSeq and Archer®FusionPlex®) to detect ALK rearrangements, and compared these with IHC and FISH. A total of 1128 NSCLC specimens were screened using conventional analyses, and a subset of 37 (15 ALK-positive, and 22 ALK-negative) samples were selected for NGS assays. Although AmpliSeq correctly detected 25/37 (67.6%) samples, 1/37 (2.7%) and 11/37 (29.7%) specimens were discordant and uncertain, respectively, requiring further validation. In contrast, Archer®FusionPlex® accurately classified all samples and allowed the correct identification of one rare DCTN1-ALK fusion, one novel CLIP1-ALK fusion, and one novel GCC2-ALK transcript. Of particular interest, two out of three patients harboring these singular rearrangements were treated with and sensitive to crizotinib. These data show that Archer®FusionPlex® may provide an effective and accurate alternative to FISH testing for the detection of known and novel ALK rearrangements in clinical diagnostic settings.


In the past decade, the outcomes of selected subgroups of patients with non-small cell lung cancer (NSCLC) have improved considerably with the emergence of targeted therapies for management of the disease1. Comprehensive molecular profiling of lung adenocarcinoma has revealed a number of actionable driver alterations that are potential targets for inhibition in approximately 60% of this subtype of lung cancer2,3,4. Among the alterations, rearrangement of the anaplastic lymphoma kinase (ALK) gene and echinoderm microtubule-associated protein-like 4 (EML4) occurs in approximately 5% of lung adenocarcinomas, representing the most frequent rearrangements. Other ALK fusion partners have been reported, such as KIF5B, and TFG 5. All identified ALK rearrangements harbor the 5’end of the partner (including the promoter and an oligomerization domain, which is mainly a coiled-coil domain) fused to the entire ALK kinase domain, and lead to constitutive ligand-independent kinase activation. Since ALK tyrosine kinase activity is necessary for its transforming activity and oncogenicity, several ALK kinase inhibitors have been identified and successfully validated, first in preclinical models in vitro and in vivo, and then in clinical studies. The US Food and Drugs Administration (FDA) has therefore approved the use of some small molecules in advanced ALK-rearranged NSCLC patients. Crizotinib, a well-tolerated first generation ALK inhibitor3,6, has been shown to be superior to standard chemotherapy both as a first- and second-line treatment1,7, while second generation ALK inhibitors, such as alectinib and ceritinib, are effective not only in crizotinib-naïve patients, but also in patients with acquired resistance to crizotinib1,8,9,10.

Fluorescence in situ hybridization (FISH) is currently acknowledged as the “gold standard” for detection of ALK rearrangements. The Vysis LSI ALK Break Apart FISH Probe Kit has been approved by the FDA as a companion diagnostic test for administration of ALK inhibitors in lung cancer patients. The immunohistochemical (IHC) method, which can detect ALK protein expression independently of the underlying mechanism mediating its overexpression, is used as a pre-screening test, alongside FISH, to determine ALK status in formalin-fixed paraffin embedded (FFPE) tissue specimens. However, even though IHC is widely implemented in pathology laboratories, easy-to-use, and automatically performed, its interpretation remains difficult to standardize and time-consuming. In addition, FISH is expensive, labor intensive, requires expert pathology assessment, and is not amenable to multiplexing.

It has been recognized that the development of molecular approaches strengthens the accuracy of ALK fusion diagnosis, by resolving discordant or borderline cases11,12,13. Several RNA-based methods, including the nCounter assay (NanoString Technologies), reverse transcription-polymerase chain reaction (RT-PCR), multiplex RT-PCR followed by capillary electrophoresis, and RT-quantitative PCR (RT-qPCR) have demonstrated their ability14,15,16,17,18,19,20,21. However, some limitations prevent their full implementation in the clinical setting. They easily highlight already known fusions, but may misdiagnose new variants and fusion partners due to the low precision of the 3′/5′ imbalance value. In addition, the multiplex capabilities of some of the techniques are limited. In this context, next-generation sequencing (NGS) amplicon-based approaches have been assessed for the detection of ALK fusions in NSCLC patients22,23,24,25,26. Two main molecular amplicon-based NGS approaches emerged, but have not been compared to date.

Here, we evaluated two different amplicon-based NGS methods (Ampliseq and Archer® FusionPlex®) for the detection of ALK fusions in order to determine the most relevant approach available for routine clinical practice in pathology laboratories. Among a set of 1128 well-characterized FFPE NSCLC specimens, 10 and 13 samples with or without ALK fusion, respectively, were selected for NGS testing and results were compared to IHC and FISH. Interestingly, both amplicon-based assays gave relevant results; however, only one allowed us to detect and to correctly identify the presence of two new and one rare ALK rearrangements.


Specimen characteristics

A total of 1128 NSCLC specimens submitted to the University Hospitals of Montpellier or Toulouse (France) for detection of ALK translocations were firstly screened using IHC. The ALK IHC-positive samples (69, 6.1%) were further explored using FISH. Among them, we randomly selected 15 samples positive for ALK rearrangement determined by both IHC and FISH. Twenty-two ALK-negative samples were also selected as negative controls. We then performed two amplicon-based NGS assays: the Ion AmpliSeq RNA Lung Cancer Research Fusion Panel and the Archer® FusionPlex® ALK, RET, ROS1 v2 kit.

Fusion gene detection using the AmpliSeq kit

The Ion AmpliSeq RNA Lung Cancer Research Fusion Panel is based on an amplicon target enrichment approach that allows amplification and detection of 70 known fusion transcripts for the ALK, RET, ROS1, and NTRK1 genes using a couple of primers specific of each fusion (Fig. 1). If no common fusion transcripts are detected, a 3′/5′ ratio is calculated for the four genes included in the panel and, according to the value obtained, samples are classified into three categories: no evidence, uncertain evidence, or strong evidence of the presence of a fusion. Thus, an imbalanced ratio may reflect the presence of a novel or uncommon fusion transcript in the sample that requires further exploration using a complementary molecular technique.

Figure 1

Schematic description of the library preparation workflow using the AmpliSeq RNA fusion kit or the Archer® FusionPlex® kit.

To assess the reliability of the panel and the inter-run reproducibility, we analyzed RNA extracted from two well-characterized control samples included in FFPE blocks in three independent experiments. These control samples corresponded to an engineered standard sample which harbored two well-characterized fusion transcripts, EML4-ALK (E6:A20) and CCDC6-RET (C1:R12), and the human lung cancer cell line H2228 (EML4-ALK; E6:A20). As expected, using the AmpliSeq panel for library preparations in combination with the corresponding bioinformatics analysis, the variant fusion transcripts harbored by the two control samples were correctly identified in the three independent experiments.

We next retrospectively analyzed the 37 selected tumor samples for which the ALK fusion status had been previously determined using conventional techniques (IHC and FISH). An ALK rearrangement was clearly detected in 12 cases: five EML4-ALK (E6:A20), six EML4-ALK (E13:A20), and one EML4-ALK (E13:A19) (Table 1). For the 25 remaining samples, as no known fusion transcript was highlighted by the analysis, the 3′/5′ imbalance values were interpreted to determine the presence or not of a potential fusion transcript (Supplementary Table S1). Among these, 13 samples did not display evidence of a fusion and were considered negative. However, for 11 other samples, uncertain evidence of an ALK and RET fusion was reported in 10 samples and one sample, respectively (Tables 1 and S1).

Table 1 Detection of ALK rearrangements in clinical specimens using IHC, FISH, AmpliSeq RNA Fusion kit, and Archer® FusionPlex® Kit.

When comparing the results obtained with the AmpliSeq RNA Fusion kit to those from the conventional techniques, concordant diagnoses were reported for 25 samples (67%) (Tables 1 and 2). Since a clear conclusion could not be made for 11 samples (30%), further experiments are required to deliver a molecular diagnosis (Tables 1 and 2). Finally, a discordant result occurred using this NGS kit for one sample (3%); an ALK fusion gene was detected using IHC/FISH but not using the AmpliSeq method (S37, Tables 1 and 2).

Table 2 Concordance between diagnoses delivered using conventional techniques (IHC and/or FISH) and NGS-based molecular approaches.

Fusion Gene Detection in Tumor Specimens using the Archer® FusionPlex®

The Archer® FusionPlex® kits are based on a different targeted enrichment method known as AMP (Fig. 1). This open-ended technique has the advantage of being able to sequence fused partners of the targeted genes without a priori. This permits the detection of well-described fusion events as well as previously unknown partners, with identification of the detected novel fusion transcript.

To investigate the specificity of the kit, we analyzed the RNA extracted from the two well-characterized control samples in three independent experiments. The Archer® FusionPlex® ALK, RET, ROS1 v2 allowed the expected detection of the fusion breakpoints present in the samples: EML4-ALK (E6:A20) and CCDC6-RET (C1:R12) for the commercialized sample, and EML4-ALK (E6:A20) for the human lung cancer cell line H2228.

Using the AMP target enrichment technique on the same 37 tumor samples, we detected the presence of ALK fusion transcripts in 15 specimens (Tables 1 and S2). Among them, 12 harbored a common EML4-ALK rearrangement (E6:A20 and E13:A20). Interestingly, one novel and two rare ALK fusion transcripts were also identified: GCC2-ALK (S35), DCTN1-ALK (S36), and CLIP1-ALK (S37) (Tables 1 and S2). For 22 cases, no rearrangements were highlighted for the ALK, RET, and ROS1 genes.

Results obtained using the Archer® FusionPlex® kit correlated perfectly with those from the ‘gold standard’ conventional methods. Indeed, all the specimens reported by IHC and FISH as negative cases (n = 22) or positive (n = 15) for ALK translocations were correctly classified using this molecular approach (Table 2). More importantly, unlike the IHC and the FISH methods, this technique allowed identification of the fusion partners without a priori, revealing the presence of uncommon fusion transcripts in three tumor samples in our study.

Validation of the uncommon ALK fusion partners and patient clinical outcome

Among the 10 ALK-positive IHC/FISH samples, three exhibited a singular gene fusion detected by the Archer® FusionPlex® kit: CLIP1-ALK (S35), DCTN1-ALK (S36), and GCC2-ALK (S37) rearrangements. Primers flanking the specific fusion regions were designed and used for validation. After reverse transcription and PCR, the presence of gene fusions was further analyzed using Sanger sequencing. Of particular note, our results validated the presence of three uncommon DCTN1-ALK (D26:A20), CLIP1-ALK (C22:A20), and GCC2-ALK (G19:A20) fusion genes (Fig. 2). All three uncommon fusion transcripts detected included the first 1065, 1294, and 1482 amino acids (aa) of DCTN1, CLIP1, and GCC2, respectively, fused to the last 562 aa of the ALK protein and retained the intact kinase domain of ALK, which is located from 1116 to 1392 aa (Fig. 2a,d and f).

Figure 2

Detection of one rare DCTN1-ALK fusion transcript, one new CLIP1-ALK fusion, and one new GCC2-ALK rearrangement in patient samples. (a,d and f) Schematic representation of the main functional domains of the proteins. The black lines represent the breakpoints and the dashed lines zoom in on the transcript fusion points and the electropherogram of the validation test. The amino acid (aa) sequences at the fusion points are highlighted in a rectangle: the green bolded sequences correspond to the fusion partner, the red bolded sequence to the ALK sequence, and the black bolded aa to the aa generated by the fusion of the codon from the fusion partner and ALK. The protein functional domains are represented as colored boxes: deep blue box, Cytoskeleton-associated protein glycine-rich (CAP-Gly) domain; light blue box, coiled-coil domain; brown box, Meprin/A5-protein/PTPmu (MAM) domain; grey box, LDL-receptor class A domain; orange box, transmembrane domain; red box, kinase domain; pink box, zinc finger domain; green box, GRIP domain. (b,e and g) IHC and FISH images showing the presence of ALK rearrangements in patient samples. Top panel, IHC imaging showing an intense cytoplasmic staining. Bottom panel, representative image of a slide hybridized with a break-apart ALK FISH assay. In this given example, the box highlights one nucleus harboring a split (arrows) and a fused signal. (c) Thoracic CT scan of patient S36 before (top panel) and after (bottom panel) three months of crizotinib therapy. IHC, immunohistochemistry; FISH, fluorescence in situ hybridization; CT, computed tomography.

As IHC and FISH revealed an ALK-positive status (Fig. 2b), patient S36 received crizotinib orally at a dose of 250 mg twice daily in September 2015, which resulted in a significant symptomatic improvement and computed tomography (CT) response after three months of therapy (Fig. 2c). The patient remains on treatment with crizotinib and a recent CT scan demonstrated a significant shrinkage of all tumor sites outside the central nervous system. According to the ALK-positive status of patient S37 (Fig. 2e), crizotinib treatment was started in February 2016. Successive images showed a continuation of response to therapy, with stabilization of the skeletal metastases but evidence of local extension of brain metastases. Finally, despite positive IHC/FISH results (Fig. 2g), ALK-inhibitor efficiency could not be assessed in patient S35, as this patient is still in remission after surgery.


ALK gene rearrangements are usually detectable using IHC or FISH, and guide patient selection for therapy. Currently, expert consensus proposes the use of ALK IHC assays as a screening tool in two-step testing, with FISH evaluation used to validate positive or equivocal IHC samples10,27,28,29. However, several studies have reported ALK fusions in samples that had tested negative using IHC, demonstrating that protein expression it is not automatically linked to gene rearrangements. This highlights the risk of denying therapy with an ALK inhibitor delivery based only on IHC results13,30,31,32. In addition, the interpretation of ALK rearrangement by FISH strongly relies on expert experience that requires long periods of training and can be compromise by technical pitfalls33. Moreover, neither FISH nor IHC allow for identification of fusion partners and exact breakpoints.

Molecular diagnosis could overcome the limits of both these conventional analyses. However, to date, no technical consensus has emerged. In this study, we used two commercial amplicon-based NGS assays to determine the presence of clinically actionable ALK fusion transcripts. To maximize efficiency, we used 37 true NSCLC patient-derived oncology specimens previously tested for ALK by IHC and FISH. Twelve common EML4-ALK E13:A20 (S14–S18) and E6:A20 (S19–S25) variants were detected by both NGS approaches. The two assays displayed different results for three samples (S35, S36, and S37). The AmpliSeq amplicon-based method delivered an “uncertain” result, whereas the Archer® AMP-based approach detected an ALK-positive fusion for all of them. Through combined RT-PCR and Sanger sequencing analysis, we validated the presence of a rearrangement in each sample. The AmpliSeq and AMP Archer® FusionPlex® methods identified a EML4(13)-ALK(19) fusion and a EML4(13)-ALK(20) fusion, respectively, in one FISH-positive sample (S24). This fusion was validated as EML4(13)-ALK(20) using RT-PCR and Sanger sequencing (data not shown). Importantly, among the 22 ALK fusion-negative samples initially detected by conventional approaches, the AMP Archer® FusionPlex® assay correctly established a negative result for all specimens, whereas the AmpliSeq assay was “uncertain for nine of them, rendering further investigations necessary before ALK fusion status could be concluded22. Altogether, these results demonstrate the clear advantage of AMP Archer® FusionPlex® over AmpliSeq amplicon-based methodology in terms of giving clinically relevant, highly accurate results in a timely manner.

The Archer® FusionPlex® results suggest that it could be routinely used for the molecular diagnosis of NSCLC rearrangements. It is an easy-to-use laboratory test with kits developed for both PGM sequencer (Thermo Fisher Scientific) and MiSeq sequencer (Illumina) technologies. The workflow design provides a result in five working days. Furthermore, the accuracy of the test observed in our cohort demonstrates that confirmation of the result using another molecular approach is not required, as has previously been suggested34. There was no screening failure in our study, even though, in some cases, the RNA analyzed was extracted from samples that contained less than 20% tumor cells. In this respect, as cytological samples are the only source of material for a significant number of patients, we are planning to examine this approach in this setting. Finally, there have been concerns that the bioinformatics aspect of NGS may be challenging for regional/county hospitals. However, using Archer analysis software, we could detect and validate all known and novel rearrangements despite the absence of strong bioinformatical infrastructure in our unit, and without specific pipeline development.

Different techniques based on high-throughput molecular approaches have been improved recently, and used to detect the presence of fusion transcripts in NSCLC samples. Thus, NanoString Technologies developed a technique based on the dual hybridization of a capture probe and a molecularly barcoded reporter probe complementary to a contiguous target sequence, allowing an accurate count of molecules, even where the RNA is poor quality. The nCounter Vantage Lung Fusion Panel included junction probes specific to the fusion breakpoint, and probes upstream and downstream of a potential fusion junction for detection of gene-expression imbalance. Comparisons of NanoString performance with IHC and FISH have clearly shown showed a high degree of concordance with these gold standard techniques17,20,35,36. Amplicon-based NGS fusion panels have also been developed by different suppliers, and two main methods are available: the target enrichment-based (e.g. Thermo Fisher) and the AMP-based approaches (e.g. ArcherDx, Qiagen or MolecularMD). As demonstrated in this study, both molecular methods are highly sensitive, easy to perform, and give comparable results to conventional techniques. The main difference is that, unlike target enrichment-based methods, AMP-based approaches allow identification and correct naming of rare and new fusion transcripts. Indeed, although the imbalance detection used in the target enrichment-based approach is a good method to detect samples harboring new fusion genes, further experiments must then be performed to confirm the identity of the fusion partner22,37. Very recently, Rogers et al. also evaluated a new technology developed by Agena Bioscience, based on cDNA synthesis, amplification, labeling, and detection using mass spectrometry, in combination with the Agena LungFusion panel35. In this study, the authors compared the three transcriptome-based approaches (nCounter Vantage Lung Fusion Panel from NanoString Technologies, AmpliSeq RNA Lung fusion panel from Thermo Fisher, and Agena LungFusion panel) to FISH, and showed an overall agreement ranging from 86–96%, depending on the technique. Interestingly, both the Agena panel and AmpliSeq fusion panel reported fusions that were not detectable by FISH.

In the present study, we identified one rare DCTN1-ALK fusion transcript (S36), one new CLIP1-ALK fusion (S37), and one new GCC2-ALK rearrangement (S35). DCTN1, for dynactin subunit 1, encodes the largest subunit of dynactin, a macromolecular complex that binds to both microtubules and cytoplasmic dynein. DCTN1-ALK fusions have been rarely reported: four inflammatory myofibroblastic tumors (IMT)38,39,40, six Spitz tumors41,42, and one pancreatic tumor43. It has also been observed in two specimens with NSCLC44,45. Fusion of ALK with DCTN1 induces the constitutive activation of ALK, which can be inhibited in vitro by treatment of the cells with crizotinib42. However, patients’ responses to crizotinib was poorly described in these studies and, at present, only one patient with an IMT that responded to ALK inhibitor has been reported39. Interestingly, the patient harboring this fusion rearrangement in our study showed sensitivity to crizotinib (S36), consistent with the results of the IMT crizotinib-treated patient.

Moreover, we highlighted, for the first time, the presence of a CLIP1-ALK fusion in an NSCLC sample. Although one case of a Spitz tumor harboring a CLIP1-ALK fusion has previously been reported, the breakpoint described differs46. Yeh and colleagues identified a breakpoint located between CLIP1 exon 13 and ALK exon 20, whereas in our study it is between the exon 22 of CLIP1 and 20 of ALK. CLIP1 protein is a member of the cytoskeleton-associated protein family with a conserved glycine-rich domain. It binds to microtubules and thereby plays an important role in intracellular vesicle trafficking. As observed for patient S36, patient S37 responded to crizotinib therapy and continues crizotinib monotherapy with no evidence of major disease progression.

Finally, we also identified, for the first time to our knowledge, a new ALK fusion partner: GCC2. The breakpoint is located between GCC2 exon 19 and ALK exon 20. GCC2, for GRIP and coiled-coil domain containing 2, encodes for Golgi proteins involved in the tethering of transport vesicles to the trans-Golgi network. As previously reported for other ALK fusion partners, the large coiled-coil domain harbored by GCC2, when fused with ALK, may facilitate dimerization and induce the constitutive activation of ALK. The patient harboring this fusion is still in remission after surgery, rendering it impossible to determine the ALK-inhibitor efficiency in this case (S35).

The response of cell lines or patients to ALK inhibitors depending on the ALK fusion variant expressed has been insufficiently explored to date47,48,49. Of greatest interest is the observation that patients with an EML4-ALK variant 1 (E13:A20) exhibit better outcomes with crizotinib treatment than patients without this variant49, suggesting that ALK variants might influence the response duration of crizotinib in ALK-positive NSCLC. Moreover, Heuckmann and colleagues demonstrated that the cellular localization of the EML4-ALK fusion protein depends on the variant expressed, which may affect the oncogenic activity of the fusion protein47. At present, the specific ALK variant status and the fusion partner involved is not routinely considered when determining a prognosis or a therapeutic stratification for patients. Further comprehensive studies are now required to monitor patient outcomes according to the specific ALK variant status. AMP-based assays, which allow the precise determination of the fusion partner and breakpoint, are a simple tool for acquiring this information. This paves the way for the development of large cohort studies to determine the impact of this information on the healthcare of lung cancer patients.

With new targetable driver genes identified, and with therapeutic options evolving, a new composite decisional algorithm must be defined. As ALK-positive lung cancer patients benefit from tyrosine kinase inhibitor therapy in the first-line setting, ALK must be tested at the time of diagnosis. Our results suggest that an amplicon-based NGS assay could be performed initially. However, for laboratories that would prefer to continue using IHC as a screening test, Archer® FusionPlex® could be performed as a second step, to replace FISH. Moreover, since current guidelines recommend routine ALK testing as well as EGFR testing, it is important to point out that all these actionable driver genes should be tested as part of a one-test multiplex NGS panel, extracting DNA-RNA from the same FFPE sample. ROS and RET fusions, as well as a broader spectrum of genes (i.e. KRAS, BRAF, or ERBB2), could also be included in such routine tests. Finally, since the optimal amount of RNA recommended for Archer® FusionPlex® analysis is 200 ng (range from 20 to 250 ng), this parameter could represent a limitation for very small biopsies, even if in our study all specimens were successfully analyzed. This point has been addressed recently by Evangelista et al. that implemented NanoString panel for ALK fusion detection and demonstrated its applicability in series of 43 lung cancer biopsies using up to 100 ng of RNA with only 7% of sample failure36.

In summary, our study investigated ALK fusion detection based on two different commercially NGS-based approaches in FFPE-derived cancer specimens. In contrast to the AmpliSeq amplicon-based approach that was unable to detect several variants, the Archer® AMP-based technique successfully identified all ALK fusion-positive samples, rendering this method highly applicable for routine ALK fusion detection and variant identification. In addition, in contrast to the conventional IHC and FISH techniques, this amplicon-based NGS approach has the distinct advantage of requiring knowledge only of one partner in the fusion. This allows the identification of novel gene rearrangements with previously unknown partners, which could clinically impact patient management.

Materials and Methods

Tumor samples

This study was performed with approval from the Institutional Review Board of both hospitals (Toulouse and Montpellier) and in concordance with regulatory guidelines regarding clinical assay validation. For this non-interventional study, an approved informed consent statement was acquired for all patients. FFPE tissue samples from NSCLC patients that had been submitted in 2014 to the University Hospital of Montpellier or Toulouse (France) for detection of ALK translocations were included in this study (n = 1128). Among them, 37 samples with previously determined ALK rearrangement status were randomly selected. Table 3 lists the characteristics of the patients and the corresponding specimens enrolled in the NGS assay. All lesions were submitted for pathological examination using standard techniques. The percentage of tumor cells in the specimens ranged from 10–90%. For each sample, ALK fusions were explored using IHC, a dual-color break-apart FISH, and NGS approaches using two different assays: Ion AmpliSeq RNA Lung Cancer Research Fusion Panel (Thermo Fisher Scientific, Waltham, MA), and Archer® FusionPlex® ALK, RET, ROS1 v2 Kit (ArcherDX, Boulder, CO). Results were interpreted blindly, without knowledge of the results obtained by the other methods.

Table 3 Patient and specimen characteristics.

Control samples

The lung adenocarcinoma cell line NCI-H2228 (EML4-ALK fusion) was purchased from the American Type Culture Collection (Manassas, USA) and cultured as recommended. An FFPE Horizon Diagnostics control sample (Cambridge, UK) that harbored two well-characterized fusion transcripts was acquired (EML4-ALK and CCDC6-RET fusions).


ALK IHC was carried out using the mouse monoclonal antibody 5A4 (Abcam, Cambridge, UK) before 2015, and subsequently using the rabbit monoclonal antibody D5F3 (Roche, Basel, Switzerland). Briefly, 3–4 μm FFPE tumor tissue sections were deparaffinized and incubated in a PT link (Dako, Glostrup, Denmark) with a high pH buffer according to the manufacturer’s recommendations for antigen retrieval. Anti-ALK antibody was then applied for 30 min at 1:50. Slides were incubated at room temperature with EnVision FLEX+ Mouse Linker (Dako) for 15 min. The immune complexes were then detected with the dextran polymer reagent. The percentage of labeled tumor cells and intensity of staining were independently assessed by two pathologists.


Where IHC analysis was positive, FISH was performed on 3 μm FFPE tissue sections using the ALK FISH DNA break-apart Probe, Split Signal (Dako) according to the manufacturer’s recommendations. Slides were pretreated at 98 °C in solution for 10 min and digested with pepsin for 3 min at 37 °C using the histology FISH accessory Kit (Dako). Slides were incubated for 18 h at 45 °C with ALK probes diluted at 1:10, and had been previously denatured for 5 min at 85 °C. Slides were then washed and dehydrated before counterstaining and application of mounting medium. Slides were analyzed with a Zeiss AxioImager Z1 fluorescence microscope (Labexchange, Burladingen, Germany). Slides were analyzed independently by two pathologists. A minimum of 100 nuclei were scored and cases were considered positive when more than 15% of cells displayed split signals.

Total RNA extraction

RNA extraction was performed on the same FFPE blocks as the IHC and/or FISH exploration. RNA was extracted from 10 µm-thick paraffin sections using the RecoverAll™ Total Nucleic Acid Isolation Kit (Thermo Fisher Scientific, Wilmington, USA) according to the manufacturer’s recommendations. RNA from control samples was extracted using the same kit. Extracted RNA was quantified using the Qubit® RNA HS Assay kit in combination with a Qubit® 2.0 fluorometer (Thermo Fisher Scientific) and qualified using the RNA 6000 Nano kit in combination with the BioAnalyzer 2100™ (Agilent Technologies, Palo Alto, CA, USA). Molecular testing by the two NGS-based approaches was performed on the same RNA samples.

Ion AmpliSeq RNA Lung Cancer Research Fusion Panel experiment

The AmpliSeq RNA Lung Cancer Research Fusion Panel is based on an amplicon sequencing approach (Table 4). The panel is composed of 83 pairs of unique primers in a single pool that includes: (i) primers that allow the amplification and detection of 70 known ALK, RET, ROS1, and NTRK1 fusion transcripts; (ii) primers located in the 5′ and 3′ regions of ALK, RET, ROS1, and NTRK1 mRNA genes; (iii) primers that target five housekeeping genes to serve as internal controls of the experiment.

Table 4 Characteristics of AmpliSeq RNA fusion and Archer® FlusionPlex® approaches.

For library preparation, 10 ng of total RNA was used according to the manufacturer’s recommendations. Briefly, RNA was reverse transcribed using the SuperScript® VILO™ cDNA Synthesis Kit (Thermo Fisher Scientific). Target cDNA was amplified using AmpliSeq primer pool (Fig. 1). Primer sequences were then partially digested using FuPa reagent, and adapters and barcodes were ligated using DNA ligase. Libraries were purified with Agencourt® AMPure® XP (Beckman Coulter, Nyon, Switzerland), amplified by PCR as described in the user guide, purified again, and quantified using a Qubit® 2.0 fluorometer using the Qubit dsDNA HS assay kit (Thermo Fisher Scientific). Based on the calculated library concentration, eight libraries were pooled to equimolar concentration. The emulsion PCR and chip loading were then performed using an Ion Chef in combination with the Ion PGM Hi-Q™ Chef kit and the Ion 318 Chip kit v2 according to the manufacturer’s recommendations (Thermo Fisher Scientific). Finally, sequencing was performed on the Ion PGM sequencer using the Ion PGM Hi-Q™ Sequencing kit and analyzed by the Ion Reporter 4.4 Software (Thermo Fisher Scientific).

For samples where the software did not detect a known fusion transcript, the 3′/5′ imbalance value given by the software was used to determine the presence or not of novel or uncommon fusion transcripts25. For each gene present in the panel, a specific threshold has been determined by the supplier to classify samples into three categories: no evidence, uncertain evidence, or strong evidence of the presence of a fusion involving the corresponding genes.

Archer® FusionPlex® ALK, RET, ROS1 v2 Kit experiment

The Archer® FusionPlex® ALK, RET, ROS1 v2 kit is based on a targeted enrichment method called anchored multiplex PCR (AMP), derived from the rapid amplification of cDNA ends (RACE) method (Table 4)50. After reverse transcription, double-stranded cDNA undergoes end repair, adenylation, and ligation with a half-functional universal adapter (Fig. 1). Obtained cDNA are then amplified by two rounds of nested low-cycle PCR using nested gene-specific primers (GSP1 and GSP2) in combination with the first half-functional universal adapter. GSP2 primers are also 5′ tagged with a common sequencing adapter to allow the clonal amplification necessary for the sequencing step.

The panel used is composed of: (i) 29 GSP that allow the detection of gene fusion events involving ALK, RET, and ROS, and also ALK and RET specific point mutations, at the same time; (ii) GSP specific for five housekeeping genes.

For this kit, 200 ng of total RNA was used as input for library generation using the Archer Universal RNA reagent Kit v2, Archer Molecular Barcode (MBC) Adapters for Ion Torrent, and the Archer FusionPlex ALK, RET, ROS v2 Panel GSPs v2 (ArcherDX, Boulder, CO, USA) according to the manufacturer’s instructions. Briefly, RNA was reverse transcribed using random primers, first strand cDNA was synthesized, and RNA quality was assessed using the Archer PreSeq RNA QC assay (ArcherDX). After second strand cDNA synthesis, end repair and A-tailing steps were performed, cDNA was purified using Agencourt® AMPure® XP beads (Beckman Coulter), and MBC adapters were ligated. Purified cDNA was firstly amplified using the GSP1 pool, then purified using Agencourt® AMPure® XP beads, and amplified again using the GSP2 pool. After another purification step, libraries were quantified using D1000 ScreenTapes in combination with a 4200 TapeStation instrument (Agilent Technologies, Santa Clara, CA, USA) and pooled to equimolar concentration. Emulsion PCR, chip loading, and sequencing was performed as described above and results were analyzed using the Archer Analysis v3.3 software. A sample was considered as positive when the fusion breakpoint was supported by at least two unique reads.

RT-PCR and Sanger sequencing

200 ng of RNA was reverse transcribed with random hexamers using the SuperScript®III First-Strand Synthesis System (Thermo Fisher). Primers specific for the detected fusion events were designed (Supplementary Table 3) and direct Sanger sequencing was performed as previously described51.


  1. 1.

    Shaw, A. T. et al. Crizotinib versus chemotherapy in advanced ALK-positive lung cancer. N Engl J Med. 368, 2385–94 (2013).

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Network, C. G. A. R. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 511, 543–50 (2014).

    ADS  Article  Google Scholar 

  3. 3.

    Kwak, E. L. et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N Engl J Med. 363, 1693–703 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Kris, M. G. et al. Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. JAMA. 311, 1998–2006 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Hallberg, B. & Palmer, R. H. The role of the ALK receptor in cancer biology. Ann Oncol. 27(Suppl 3), iii4–iii15 (2016).

    Article  PubMed  Google Scholar 

  6. 6.

    Koivunen, J. P. et al. EML4-ALK fusion gene and efficacy of an ALK kinase inhibitor in lung cancer. Clin Cancer Res. 14, 4275–83 (2008).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Solomon, B. J. et al. First-line crizotinib versus chemotherapy in ALK-positive lung cancer. N Engl J Med. 371, 2167–77 (2014).

    Article  PubMed  Google Scholar 

  8. 8.

    Seto, T. et al. CH5424802 (RO5424802) for patients with ALK-rearranged advanced non-small-cell lung cancer (AF-001JP study): a single-arm, open-label, phase 1-2 study. Lancet Oncol. 14, 590–8 (2013).

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Iwama, E., Okamoto, I., Harada, T., Takayama, K. & Nakanishi, Y. Development of anaplastic lymphoma kinase (ALK) inhibitors and molecular diagnosis in ALK rearrangement-positive lung cancer. Onco Targets Ther. 7, 375–85 (2014).

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Katayama, R. et al. Mechanisms of acquired crizotinib resistance in ALK-rearranged lung Cancers. Sci Transl Med. 4, 120ra17 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Li, W. et al. Combinational Analysis of FISH and Immunohistochemistry Reveals Rare Genomic Events in ALK Fusion Patterns in NSCLC that Responds to Crizotinib Treatment. J Thorac Oncol. 12, 94–101 (2017).

    Article  PubMed  Google Scholar 

  12. 12.

    Pekar-Zlotin, M. et al. Fluorescence in situ hybridization, immunohistochemistry, and next-generation sequencing for detection of EML4-ALK rearrangement in lung cancer. Oncologist. 20, 316–22 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Demidova, I. et al. Detection of ALK rearrangements in 4002 Russian patients: The utility of different diagnostic approaches. Lung Cancer. 103, 17–23 (2017).

    Article  PubMed  Google Scholar 

  14. 14.

    Soda, M. et al. A prospective PCR-based screening for the EML4-ALK oncogene in non-small cell lung cancer. Clin Cancer Res. 18, 5682–9 (2012).

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Wang, R. et al. The use of quantitative real-time reverse transcriptase PCR for 5′ and 3′ portions of ALK transcripts to detect ALK rearrangements in lung cancers. Clin Cancer Res. 18, 4725–32 (2012).

    ADS  CAS  Article  PubMed  Google Scholar 

  16. 16.

    Liu, C., Pepper, K., Hendrickson, H., Cagle, P. T. & Portier, B. P. Clinical Validation of a Novel Commercial Reverse Transcription-Quantitative Polymerase Chain Reaction Screening Assay for Detection of ALK Translocations and Amplifications in Non-Small Cell Lung Carcinomas. Arch Pathol Lab Med. 140, 690–3 (2016).

    Article  PubMed  Google Scholar 

  17. 17.

    Lira, M. E. et al. A single-tube multiplexed assay for detecting ALK, ROS1, and RET fusions in lung cancer. J Mol Diagn. 16, 229–43 (2014).

    ADS  CAS  Article  PubMed  Google Scholar 

  18. 18.

    Takeuchi, K. et al. Multiplex reverse transcription-PCR screening for EML4-ALK fusion transcripts. Clin Cancer Res. 14, 6618–24 (2008).

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Sunami, K. et al. Multiplex Diagnosis of Oncogenic Fusion and MET Exon Skipping by Molecular Counting Using Formalin-Fixed Paraffin Embedded Lung Adenocarcinoma Tissues. J Thorac Oncol. 11, 203–12 (2016).

    Article  PubMed  Google Scholar 

  20. 20.

    Reguart, N. et al. Identification of ALK, ROS1, and RET Fusions by a Multiplexed mRNA-Based Assay in Formalin-Fixed, Paraffin-Embedded Samples from Advanced Non-Small-Cell Lung Cancer Patients. Clin Chem. 63, 751–760 (2017).

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Laforet, M. P. et al. Design and feasibility of a novel, rapid, and simple fluorescence 26-plex rt-PCR assay for simultaneous detection of 24 fusion transcripts in adult acute myeloid leukemia. J Mol Diagn. 15, 186–95 (2013).

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Beadling, C. et al. A Multiplexed Amplicon Approach for Detecting Gene Fusions by Next-Generation Sequencing. J Mol Diagn. 18, 165–75 (2016).

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Choi, Y. L. et al. A novel fusion of TPR and ALK in lung adenocarcinoma. J Thorac Oncol. 9, 563–6 (2014).

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Dacic, S. et al. ALK FISH patterns and the detection of ALK fusions by next generation sequencing in lung adenocarcinoma. Oncotarget. 7, 82943–82952 (2016).

    PubMed  PubMed Central  Google Scholar 

  25. 25.

    Moskalev, E. A. et al. Sensitive and specific detection of EML4-ALK rearrangements in non-small cell lung cancer (NSCLC) specimens by multiplex amplicon RNA massive parallel sequencing. Lung Cancer. 84, 215–21 (2014).

    Article  PubMed  Google Scholar 

  26. 26.

    Pfarr, N. et al. High-throughput diagnostic profiling of clinically actionable gene fusions in lung cancer. Genes Chromosomes Cancer. 55, 30–44 (2016).

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Yatabe, Y. ALK FISH and IHC: you cannot have one without the other. J Thorac Oncol. 10, 548–50 (2015).

    Article  PubMed  Google Scholar 

  28. 28.

    Savic, S. et al. Screening for ALK in non-small cell lung carcinomas: 5A4 and D5F3 antibodies perform equally well, but combined use with FISH is recommended. Lung Cancer. 89, 104–9 (2015).

    Article  PubMed  Google Scholar 

  29. 29.

    Leighl, N. B. et al. Molecular testing for selection of patients with lung cancer for epidermal growth factor receptor and anaplastic lymphoma kinase tyrosine kinase inhibitors: American Society of Clinical Oncology endorsement of the College of American Pathologists/International Association for the study of lung cancer/association for molecular pathology guideline. J Clin Oncol. 32, 3673–9 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Antonescu, C. R. et al. Molecular characterization of inflammatory myofibroblastic tumors with frequent ALK and ROS1 gene fusions and rare novel RET rearrangement. Am J Surg Pathol. 39, 957–67 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Cabillic, F. et al. Parallel FISH and immunohistochemical studies of ALK status in 3244 non-small-cell lung cancers reveal major discordances. J Thorac Oncol. 9, 295–306 (2014).

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Ilie, M. I. et al. Discrepancies between FISH and immunohistochemistry for assessment of the ALK status are associated with ALK ‘borderline’-positive rearrangements or a high copy number: a potential major issue for anti-ALK therapeutic strategies. Ann Oncol. 26, 238–44 (2015).

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Von Laffert, M. et al. Anaplastic lymphoma kinase (ALK) gene rearrangement in non-small cell lung cancer (NSCLC): results of a multi-centre ALK-testing. Lung Cancer. 81, 200–6 (2013).

    Article  Google Scholar 

  34. 34.

    Guseva, N. V. et al. Anchored multiplex PCR for targeted next-generation sequencing reveals recurrent and novel USP6 fusions and upregulation of USP6 expression in aneurysmal bone cyst. Genes Chromosomes Cancer. 56, 266–277 (2017).

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Rogers, T. M. et al. Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer. Sci Rep. 7, 42259 (2017).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Evangelista, A. F. et al. Detection of ALK fusion transcripts in FFPE lung cancer samples by NanoString technology. BMC Pulm Med. 17, 86 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Fang, D. D. et al. HIP1-ALK, a novel ALK fusion variant that responds to crizotinib. J Thorac Oncol. 9, 285–94 (2014).

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Wang, X. et al. Fusion of dynactin 1 to anaplastic lymphoma kinase in inflammatory myofibroblastic tumor. Hum Pathol. 43, 2047–52 (2012).

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Subbiah, V. et al. STUMP un“stumped”: anti-tumor response to anaplastic lymphoma kinase (ALK) inhibitor based targeted therapy in uterine inflammatory myofibroblastic tumor with myxoid features harboring DCTN1-ALK fusion. J Hematol Oncol. 8, 66 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Lee, J. C. et al. ALK oncoproteins in atypical inflammatory myofibroblastic tumours: novel RRBP1-ALK fusions in epithelioid inflammatory myofibroblastic sarcoma. J Pathol. 241, 316–323 (2017).

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Busam, K. J., Kutzner, H., Cerroni, L. & Wiesner, T. Clinical and pathologic findings of Spitz nevi and atypical Spitz tumors with ALK fusions. Am J Surg Pathol. 38, 925–33 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Wiesner, T. et al. Kinase fusions are frequent in Spitz tumours and spitzoid melanomas. Nat Commun. 5, 3116 (2014).

    PubMed  PubMed Central  Google Scholar 

  43. 43.

    Shimada, Y. et al. An Oncogenic ALK Fusion and an RRAS Mutation in KRAS Mutation-Negative Pancreatic Ductal Adenocarcinoma. Oncologist. 22, 158–164 (2017).

    CAS  Article  PubMed  Google Scholar 

  44. 44.

    Iyevleva, A. G. et al. Novel ALK fusion partners in lung cancer. Cancer Lett. 362, 116–21 (2015).

    CAS  Article  PubMed  Google Scholar 

  45. 45.

    Gao, X. et al. Clinical Implications of Variant ALK FISH Rearrangement Patterns. J Thorac Oncol. 10, 1648–52 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Yeh, I. et al. Clinical, histopathologic, and genomic features of Spitz tumors with ALK fusions. Am J Surg Pathol. 39, 581–91 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Heuckmann, J. M. et al. Differential protein stability and ALK inhibitor sensitivity of EML4-ALK fusion variants. Clin Cancer Res. 18, 4682–90 (2012).

    CAS  Article  PubMed  Google Scholar 

  48. 48.

    Hrustanovic, G. et al. RAS-MAPK dependence underlies a rational polytherapy strategy in EML4-ALK-positive lung cancer. Nat Med. 21, 1038–47 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Yoshida, T. et al. Differential Crizotinib Response Duration Among ALK Fusion Variants in ALK-Positive Non-Small-Cell Lung Cancer. J Clin Oncol. 34, 3383–9 (2016).

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Zheng, Z. et al. Anchored multiplex PCR for targeted next-generation sequencing. Nat Med. 20, 1479–84 (2014).

    CAS  Article  PubMed  Google Scholar 

  51. 51.

    Marchant, J., Mange, A., Larrieux, M., Costes, V. & Solassol, J. Comparative evaluation of the new FDA approved THxID-BRAF test with High Resolution Melting and Sanger sequencing. BMC Cancer. 14, 519 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

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J.A.V. and J.S. conceived and designed the experiments; J.A.V., B.B., P.A. and V.S. performed experiments; S.G., D.G., P.C., J.L.P., V.C., P.B. and I.R. reviewed the manuscript and participated to fruitful discussions; I.S. and I.R. provided us the biological materials and E.C., J.L.P  and J.M. the corresponding clinical information; J.A.V., S.T. and J.S. wrote the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jérôme Solassol.

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Vendrell, J.A., Taviaux, S., Béganton, B. et al. Detection of known and novel ALK fusion transcripts in lung cancer patients using next-generation sequencing approaches. Sci Rep 7, 12510 (2017).

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