Mutational Portrait of Lung Adenocarcinoma in Brazilian Patients: Past, Present, and Future of Molecular Profiling in the Clinic

Objectives: Approximately 60% of lung adenocarcinomas (LAs) carry mutations that can guide treatment with tyrosine-kinase inhibitors (TKI) and other targeted therapies. Data on activating mutations in EGFR and other tyrosine-kinase receptor (TKR) genes in highly admixed populations, such as that of Brazil, are scarce. In this study, we comprehensively analyzed the actionable alteration profile of LA in Brazilian patients.

Materials and Methods: EGFR driver mutation data were collected from a large Brazilian LA cohort covering an 8-year period of molecular testing in a single institution. Tests were performed using three distinct methods, and demographic and histopathological data were analyzed. For a subset of patients, driver mutations in KRAS, NRAS, and BRAF and gene fusions involving TKR genes (before TKI treatment) and EGFR T790M (after TKI treatment) were assessed.

Results: EGFR mutations were detected in 25% of 1,316 LAs evaluated, with exon 19 deletions and exon 21 L858R TKI sensitizing mutations representing 72.5% of all mutations. Mutation rates were higher in women and non-smokers (p < 0.001). Next-generation sequencing was very sensitive, with a lower rate of inconclusive results compared with Sanger sequencing and pyrosequencing. EGFR/RAS/BRAF hotspot gene panels were applied in 495 LA cases and detected oncogenic mutations in 51.3% of samples, most frequently in EGFR (22.4%) and KRAS (26.9%). In subgroups of 36 and 35 patients, gene fusions were detected in 11.1% of tumors and EGFR T790M resistance mutations were detected in 59% of plasma samples from patients previously treated with TKI, respectively.

Conclusion: This report provides the first comprehensive actionable alteration portrait of LA in Brazil. The high rate of actionable alterations in EGFR and other driver genes in LA reinforces the need to incorporate TKI guided by molecular diagnostics into clinical routines for patients in both public and private healthcare systems.

Introduction

Non-small cell lung cancer (NSCLC) accounts for 85% of primary lung malignancies. Adenocarcinoma is the most common histological subtype of lung cancer, accounting for half of cases (1). Recent years have been marked by changes in the treatment paradigm for lung adenocarcinoma (LA) according to genomic portrait, which in turn, has contributed to the identification of molecular drivers implicated in the clinical behavior of the disease (prognostic value) and in treatment response (predictive value). In consequence, it is currently established that more than 60% of LA cases carry driver mutations that could guide treatment tailoring (2).

LA presents a variety of structural genomic alterations that lead to the activation of oncogenes, especially those involving the tyrosine-kinase receptors ALK, ROS1, and RET; and point mutations, especially in genes of EGFR-pathway, such as EGFR and KRAS genes (2). Mutations in EGFR were first described in 2004, and several clinical trials have since demonstrated the efficacy of EGFR-targeted tyrosine-kinase inhibitors (TKIs) in this scenario (3–5). EGFR TKIs have been incorporated into clinical practice and are now a part of standard treatment worldwide.

The incidence of EGFR-mutant LA is greater in eastern Asia than in other regions, with more than 40% of tumors carrying a somatic mutation in this gene (6, 7). In Europe and the US, the incidence ranges from 10 to 15% (6, 8). In Latin America and Brazil, small series have suggested that the frequency of EGFR-mutant LA is higher than observed in Europe and the US (6, 9).

In this study, we present a historical perspective on the application of molecular testing of patients with LA at a Brazilian reference center for cancer treatment. First, we compared the detection rates of EGFR-activating mutations in 1,316 consecutive LA cases using three approaches—Sanger sequencing, pyrosequencing, and next-generation sequencing (NGS)—and investigated the association of EGFR mutations with demographic and histopathological data for different subsets of cases. We also assessed the frequency of EGFR-, KRAS-, and BRAF-activating mutations and other gene fusions in a subset of tumors using focused NGS gene panels. Finally, we described the rate of EGFR-T790M resistance mutations detected in circulating tumor DNA (ctDNA) after treatment with TKI in a group of patients. Altogether, we have generated a comprehensive portrait of EGFR-activating alterations in Brazilian patients with LA, considering methodological and pathological variables.

Materials and Methods

Patient Cohort

This retrospective analysis included 1,316 lung cancer samples tested for EGFR mutation between August 2010 and October 2018 at the Laboratory of Genomic Diagnostics of the A.C. Camargo Cancer Center. The samples were collected from 1,316 patients for whom we had access to test results and demographic data (age at diagnosis and gender). For subsets of cases, 579, 470, and 436, we also we had access to tumor histology, smoking behavior, and presence of metastases, respectively. Patients were tested according to different methodologies, which were current at the corresponding timepoints during the study period. Thirty-five patients were also tested using a liquid biopsy approach to search for resistance mutations in ctDNA after being exposed to TKI treatment.

Sample Preparation and DNA/RNA Extraction

Tumor samples were derived from routine formalin-fixed paraffin-embedded (FFPE) blocks obtained from biopsies and resected lung specimens. Two medical pathologists (IW, MP) reviewed the histological diagnoses and classified the LA samples according to the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma (10). Samples were subjected to histological analysis to assess the percentage of tumor cells and to select adequate tumor areas. Manual dissection of selected tumor regions was performed on unstained slides after paraffin removal with xylene and ethanol. Genomic DNA was extracted using the QIAamp DNA FFPE Tissue Kit (Qiagen, Hilden, Germany) with QIAcube equipment. Tumor RNA was extracted using the AllPrep DNA/RNA FFPE Kit (Qiagen).

For liquid biopsy analysis, blood samples were collected and processed within 2 h of collection to avoid plasma contamination with leucocyte DNA. Briefly, peripheral blood (4 ml) was collected in BD Vacutainer^®/Hemogard™ EDTA K2 Plus tubes or BD Vacutainer^® PPT™ tubes (BD Biosciences, NJ, USA) and submitted to centrifugation at 1,600 g for 10 min. The plasma was transferred to new tubes and centrifuged again at 1,600 g for 10 min. DNA was extracted from the plasma using the MagMAX Cell-Free DNA Isolation Kit (Thermo Fisher Scientific, MA, USA), according to the manufacturer's instructions. DNA quantity and quality were assessed with a Nanodrop 1000 and/or Qubit dsDNA HS kit (Thermo Fisher Scientific).

Tumor Mutation Analysis

EGFR exons 18, 19, 20, and 21 were investigated by Sanger sequencing, pyrosequencing, or three distinct NGS strategies, as follows.

Sanger Sequencing

PCR amplification of EGFR exons 18, 19, 20, and 21 was performed with 80–150 ng genomic DNA using primers developed in house and the Platinum Taq DNA Polymerase High Fidelity Kit (Invitrogen). PCR products were verified in 1% agarose gels using SYBR safe DNA gel stain (Invitrogen) and purified with ExoSap (USB, OH, USA). Sequencing reactions were performed using BigDye v3.1 reagents (Thermo Fisher Scientific), according to the manufacturer's instructions. The sequencing products were purified using an ethanol precipitation protocol. Automated sequencing was performed by capillary electrophoresis on an ABI3130xl or ABI3500 device (Applied Biosystems). The sequences were aligned and electropherograms were analyzed using CLC Main Workbench software (Qiagen).

Pyrosequencing

Pyrosequencing of EGFR exons 18, 19, 20, and 21 was performed using the commercial EGFR Pyro Kit (Qiagen). PCR amplification was performed with 80–120 ng of genomic DNA, according to the manufacturer's instructions. PCR products were verified in 1% agarose gels using SYBR safe DNA gel stain (Invitrogen). Template preparation and sequencing were performed with PyroMark Gold Q24 reagents in a PyroMark Q24 device, following the manufacturer's instructions. Mutations were detected using PyroMark Q24 software and the default analysis parameters recommended by the manufacturer (Qiagen). A somatic mutation was considered to be present when the variant allele was detected at a frequency >5%.

NGS

Tumor somatic mutations were investigated by target sequencing using a custom Ion AmpliSeq™ Panel (Thermo Fisher Scientific) containing hotspot regions of 14 genes frequently mutated in solid tumors, including the complete exons 18, 19, 20, and 21 of EGFR and hotspot regions of KRAS, NRAS, and BRAF. Depending on the requested test (NGS types 1–3; Table 1), only regions of the gene of interest were analyzed and reported. Gene fusions were analyzed using the commercial Ion AmpliSeq RNA Lung Cancer Research Fusion Panel (Thermo Fisher Scientific). Multiplex amplification was performed with 10 ng of DNA or RNA using the Ion AmpliSeq Library Kit 2.0 (Thermo Fisher Scientific), and high-throughput sequencing was performed using the Ion PGM or Ion Proton platform (Thermo Fisher Scientific), according to the manufacturer's instructions. For DNA point mutation analyses, mapping of sequencing reads, and variant calling were performed using the Torrent Suite Browser/TVC (Thermo Fisher Scientific) and CLC Genomics Workbench (Qiagen). A somatic mutation was considered to be present when the variant allele was detected in >2% of the reads, considering a minimum coverage depth of 100X. Gene fusion analyses were performed with Ion Report software (Thermo Fisher Scientific) using commercial pipelines.

TABLE 1

Table 1. Methodologies used for tumor molecular testing in patients with LA.

Liquid Biopsy Mutation Analysis

For liquid biopsy analyses, tumor mutations in ctDNA were investigated using a custom Ion Ampliseq™ Panel containing hotspot regions of seven genes or with a specific amplicon designed for the evaluation of only the T790M mutation. For the gene panel, amplification was performed as described for the NGS tumor analyses. For the T790M amplicon, libraries were prepared using the Ion Plus Fragment Library Kit (Thermo Fisher Scientific). Sequencing and mutation analyses were performed as described for the tumors, with appropriated differences in the variant frequency cut-off (>0.5% of reads) and coverage (minimum coverage depth of 20,000X for negative results).

Statistical Analysis

Frequencies were used to describe categorical variables and medians were used for continuous variables. The chi-square test (or Fisher's exact test, when applicable) was used to compare frequencies of categorical variables. The Mann–Whitney U-test was used to compare median values of continuous variables (age and smoking load). Significance was established at p ≤ 0.05. Analyses were performed using SPSS^® Statistics version 20 (IBM).

Results

EGFR Mutation Results

In this study we compiled the results of EGFR mutation testing of 1,316 consecutive LA patients from a single institution. Molecular testing was performed during an 8-year period (2010–2018) using three sequencing platforms, resulting in an overall EGFR mutation rate of 25.4%. Basic demographic and histological characteristics were collected (Table 2). The male/female rate was almost 1:1 and only 36% of patients were non-smokers. EGFR mutation was more frequent among women and non-smoking patients (p < 0.001). Less than 10% (56/579) of the patients had non-adenocarcinomas (mostly squamous cell carcinomas), of whom only 5 had EGFR mutations (3.1% of all EGFR mutated patients) (Table 2).

TABLE 2

Table 2. Demographic and histopathological data and EGFR status.

Regarding mutation rate of three platforms used in this study (Sanger sequencing, pyrosequencing, and NGS), pyrosequencing and NGS had higher mutation rates (26.7 and 25.8%, respectively) than Sanger sequencing (23.3%; Table 3). NGS had the lowest rate of inconclusive test results (1.8%, compared with 4.0% for pyrosequencing and 17% for Sanger sequencing; p < 0.001; Table 3). Variants of unknown clinical significance were detected only with Sanger sequencing and NGS, as both are open-source sequencing technologies that are able to detect all types of genetic variation in the four evaluated exons.

TABLE 3

Table 3. Numbers and types of mutations detected according to test methodology.

Concerning the clinical relevance of identified EGFR mutations, the frequency of TKI-sensitizing, or likely-sensitizing mutations among EGFR-positive patients was 82.6% (74.2, 100, and 82.6% according to Sanger sequencing, pyrosequencing, and NGS, respectively; Table 3). Most mutations identified occurred in exons 19 and 21 (43.7 and 38.9%, respectively), and the test employed did not impact the distribution of mutations within exons (Table 3). The rates of exon 18 and exon 20 variants were 8.1 and 9.2%, respectively. Exon 19 deletions (39.2%) and exon 21 L858R (33.3%) sensitivity mutations were the most common alterations, representing 72.5% of all mutations (Figure 1A).

FIGURE 1

Figure 1. Mutation patterns in Brazilian patients with LA. (A) Frequencies of EGFR mutation types detected in all 334 mutated patients (357 mutations). (B) Oncogenic mutations detected in 510 patients tested with NGS gene panels. Together, EGFR and KRAS mutations were detected in 49.3% of patients. (C) EGFR mutation detection in ctDNA from plasma. Twenty-two of thirty-fifth results were informative, and 59% of these patients were positive for the T790M mutation. (D) Variant allelic fractions of sensitizing and resistance mutations in five cases with both mutations detected in NGS of ctDNA.

Most exon 20 insertions have been associated with TKI resistance, as have other SNVs in exons 18 (E709X), 19 (L747R), and 20 (Q787R and T790M). These resistance mutations were found in only 7.8% of EGFR-mutated tumors in our cohort (10.8, 0, and 7.6% according to Sanger sequencing, pyrosequencing, and NGS, respectively; Table 3). We found more than one EGFR mutation (complex or compound mutations) in only 19 patients (6.7% of EGFR-mutated tumors). Two patients presented the T790M mutation at diagnosis (Figure 1A).

NGS Panel Results

For a subset of the 1,316 patients tested for EGFR mutations, NGS tests including other cancer mutation hotspots were performed. Of 495 patients tested with gene panels, 459 patients were tested for hotspots in EGFR, KRAS/NRAS, and BRAF, and 36 patients were tested with a larger panel containing hotspots for 14 genes (including the four genes mentioned above) and lung cancer gene fusions. The patterns of mutations in these two groups are detailed in Table 4.

TABLE 4

Table 4. Mutation detection in tumors evaluated with NGS panels.

Briefly, we detected oncogenic point mutations in 51.3% (254/495) of these patients. The most frequently mutated genes were EGFR and KRAS, with 111/495 (22.4%) patients harboring EGFR mutations and 133/495 (26.9%) patients presenting KRAS mutations. NRAS mutations were detected in 9 (1.8%) patients, and BRAF mutations were found in 12 (2.4%) patients (Figure 1B). Most driver mutations were mutually exclusive, with 95.7% of patients presenting only one driver and co-occurrence of hotspot mutations in at least two genes detected in 11 patients (Table 4). Among the 36 patients evaluated for gene fusion, EML4-ALK, and KIF5B-RET fusions were detected in two (5.6%) patients each.

Plasma Screening for the T790M Mutation

We used NGS to analyze ctDNA mutations in the plasma of 35 patients harboring sensitizing EGFR mutations who were undergoing TKI treatment, using a gene panel covering the four exons of EGFR or a single amplicon for the T790M mutation. For 13 patients, the ctDNA analysis was considered to be uninformative, as neither the T790M resistance mutation nor the original sensitizing EGFR mutation (L858R or exon 19 deletion) could be detected with panel testing. Among 22 patients with informative results, 13 (59%) were positive for the T790M mutation (Figure 1C), with the mutant allele detected at a mean frequency of 5.2% (range, 0.88–21.8%). Of the 13 patients positive for T790M, 11 underwent ctDNA testing with the gene panel capable of detecting resistance and sensitizing mutations; we detected both mutations in plasma in five cases (mutation frequency, 1.36–93.1%; Figure 1D), and only the T790M mutation in six cases (mutation frequency, 0.88–1.95%).

For 10 patients, multiple samples were collected for ctDNA analyses at different time points (two samples from seven patients, three samples from two patients, four samples from one patient) because analyses of the first samples were considered to be uninformative. Subsequent results were informative for six of these patients (five T790M positive, one T790M negative), and uninformative for four patients.

Discussion

Since 2009, abundant evidence for the benefit of TKIs in the treatment of EGFR-mutant NSCLC has accumulated. Nevertheless, health insurance companies in Brazil did not reimburse for molecular tests until sometime later, and such testing is still not widely available to patients in the private or public health system, making available data of EGFR mutation rates scarce for this population. Here, we compiled the results of EGFR mutation testing of 1,316 consecutive LA patients from a single institution, achieving an EGFR mutation rate of 25.4%. To our knowledge, this is the largest published cohort of LA cases tested for EGFR mutation using DNA sequencing–based platforms in Brazil and the largest comprehensive analysis of driver mutations in lung cancer in our population.

In previously published series of Brazilian patients, EGFR mutation rates were 21.6, 30.4, 22.7, and 19.2% in 125, 207, 444 and 619 LA cases, respectively (11–14). Studies conducted in other Latin American countries suggest that EGFR mutation rates are higher on this continent than in European countries and the USA, which are around 10–15% (6, 8, 9), especially in countries with greater contributions of mestizo/indigenous ancestries (11). EGFR mutation rates of 51.1% in Peru, 34.3% in Mexico, 24.7% in Colombia, and only 14.4% in Argentina have been reported (12).

These higher-than-expected mutation rates in this study and others from Brazil, compared with those in LA diagnosed in other Western populations, could be explained by demographic characteristics, such as gender and smoking behavior, and by genetic backgrounds. However, demographic characteristics do not seem to have introduced bias in our cohort, as the male/female rate was almost 1:1 and only 36% of patients were non-smokers. By the other side, the genetic background of the population could have contributed to the high mutation frequency. In this sense, a greater proportion of Asian ancestry (7.3%) was recently reported to be associated with EGFR mutation in a Brazilian cohort from São Paulo state (13). In addition, a high prevalence of EGFR activating-mutations was recently detected in LA diagnosed in Brazilian patients with Li-Fraumeni syndrome harboring the Brazilian TP53 R337H founder mutation; however these patients comprised only 2.7% of our cohort (14). Interestingly, in the previously reported series of Brazil a considerably variation in terms of mutation rate was observed −19% in South of Brazil and 21.9–30% in Southeast (more specifically in São Paulo city) that has a higher proportion of Amerindian and Asian ancestries.

Regarding the clinical relevance of EGFR mutations, exon 19 deletions, and exon 21 L858R sensitivity mutations represented 72.5% of all mutations. The frequency of L858R mutation was 33.3%, similar to those reported for other series (29–45%) (15–19). In contrast, the rate of exon 19 deletions (39.2%) was slightly lower than described in the literature (44–57%) (15–19), and the rates of exon 18 and exon 20 variants (8.1 and 9.2%, respectively) were 2-fold higher than in other published series (4 and 2–5%, respectively) (8, 17, 18, 20, 21). Currently, evidence supports the sensitivity of mutations other than L858R and exon 19 deletions to available TKIs. For instance, single nucleotide variants (SNVs) such as exon 21 L861Q and L861R, and exon 18 G719X, are well-recognized as being sensitive to EGFR TKI treatment (18, 19, 22). Thus, considering these rare variants, the overall frequency of TKI-sensitizing or likely-sensitizing mutations among EGFR-positive patients was 82.6%.

Mutations related to primary or secondary resistance to EGFR TKIs are also of clinical relevance, and they were identified in only 7.8% of EGFR-mutated tumors in our cohort. Of note, only two patients presented the T790M mutation at diagnosis, representing <1% of untreated EGFR-mutated tumors, similar to rates reported in other studies (Figure 1A) (8, 23).

The three test platforms used in this study reflect the evolution of laboratory expertise in the detection of EGFR-activating mutations through the 8-year study period. Although similar results were obtained for most data with these different molecular testing methodologies, a smaller mutation detection rate and the highest rate of inconclusive tests were observed for Sanger sequencing, reflecting the improvement of sensitivity and robustness of more recent methods. Also, is noteworthy the NGS detection of a non-LREA exon 19 deletion in one patient with a previous negative test result from the Cobas^® platform. This patient was treated with erlotinib for 18 months and is currently receiving second-line therapy with osimertinib. This case emphasizes that even high-quality standard platforms do not cover all clinically relevant variants.

A subset of patients tested for EGFR mutations were evaluated with NGS tests that include other cancer mutation hotspots, enabling assessment of other oncogenes from the EGFR pathway that are frequently mutated in lung cancer. In this group of 495 patients, oncogenic point mutations were detected in 51.3%, most frequently in KRAS (26.9%) and EGFR (22.4%). Mutation rates for other oncogenes have been described for patients with LA from other populations. KRAS is usually the first or second most frequently mutated gene in LA, with mutation frequencies similar to those for EGFR, which are strongly associated with a positive smoking status; these mutations are more frequent in white than in Asian populations and show no sex predilection (24, 25). In Western countries, KRAS mutations are identified in 20–25% of patients with LA (25). In a recent update for Latin American countries, the overall KRAS mutation rate was 14.0% (range, 9.1–18.9%) (11). This lower frequency of KRAS mutations could be a result of a lower frequency of smokers in that cohort and a high EGFR mutation frequency, as the two mutation types are usually mutually exclusive. In the Brazilian population, KRAS mutation frequencies of 14.6–30.2% have been reported (12, 13, 26, 27). These differences could be partially explained by differences in detection methods and population characteristics.

From a clinical perspective, KRAS mutations are negative predictors of TKI response. Additionally, KRAS-mutant LA has been associated with poorer overall survival in several studies (28, 29), including a study conducted with a Brazilian population (13). However, new discoveries about KRAS biology and its impact in the tumor microenvironment, together with the advent of immunotherapies and targeted therapies, may result in the development of effective treatment strategies and optimal therapeutic stratification of KRAS-mutant LA (25). Indeed, the recent promising results of a phase I study with AMG 510 targeting specifically the G12C KRAS mutations reinforce this perspective, and in our cohort this mutation was detected in 35.3% (47/133) of KRAS mutated patients or 9.5% of all LA patients (47/495).

The recent advances in liquid biopsy methods and the development of third-generation TKIs, such as osimertinib, targeting the T790M mutation, have resulted in the rapid implementation of ctDNA analysis in clinical practice. In this study, we evaluated EGFR mutations in ctDNA from plasma of 35 patients who were undergoing TKI treatment, most of them receiving first generation agents (erlotinib or gefitinib). Among patients with informative results, 59% were positive for the T790M mutation, with the mutant allele detected at a mean frequency ranging from 0.88–21.8%. The ctDNA analysis was considered to be uninformative for 37% (13/35) of the patients, since neither the T790M resistance mutation nor the original sensitizing EGFR mutation could be detected, and most likely in these cases the tumor is not shedding adequate levels of DNA for detection (30). For 10 of these uninformative patients, we performed multiple plasma collections at different time points and in 6 of them an informative result was obtained in at least one ctDNA analysis (five T790M positive, one T790M negative). Our results highlight the ability of serial plasma collection to overcome the low sensitivity for mutation detection in cell-free DNA from patients with tumors shedding small amounts of ctDNA, especially when tissue biopsy is not possible. Additionally, our results emphasize the importance of using a method, such as NGS, that enables the detection of sensitizing, and resistance mutations to differentiate true-negative from uninformative results.

Our study has several limitations. Since this was a diagnostic laboratory cohort, demographic, and clinical data from these patients were limited and outcome data were not evaluated. Additionally, for some analysis, such as the expanded NGS panel covering gene fusions and the liquid biopsy analysis the number of evaluated patients were limited.

In summary, we report a higher-than-expected EGFR mutation rate in a cohort of Brazilian patients, with most mutations being associated with EGFR TKI sensitivity. This high EGFR mutation rate highlights the negative impact of not performing EGFR mutation testing and underscores the urgent need for broader discussion regarding the incorporation of molecular testing and targeted therapy for lung cancer in the Brazilian public and private healthcare systems. Finally, our preliminary results from expanded gene panels and liquid biopsy analysis underscore the rapid evolution of genomic tests and the importance of prompt incorporation of these advances into clinical practice.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The studies involving human participants were reviewed and approved by A.C. Camargo Institutional Review Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

HF, IC, and DC conceived the study. HF analyzed and interpreted the EGFR and patient data. VC, MC, AS, and GD contributed with patient data. IC and MM performed the histological examination. VK, GT, EF, and DC analyzed and interpreted the genetic data. HF, GT, and DC were the major contributors to manuscript writing. VC and VK contributed to manuscript writing. DC contributed funding. All authors have read and approved the final manuscript.

Funding

The authors acknowledged the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES 88887.136405/2017-00) for funding the article processing charges.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank the team of the Genomic Diagnostic Laboratory, Anatomic Pathology Department, A.C. Camargo Cancer Center.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2020.01068/full#supplementary-material

Abbreviations

LA, Lung adenocarcinomas; TKI, tyrosine kinase inhibitor; TKR, tyrosine-kinase receptor; NSCLC, non-small cell lung cancer; NGS, next generation sequencing; ctDNA, circulating tumor DNA.

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