Resistances to EGFR tyrosine kinase inhibitors in lung cancer—how to routinely track them in a molecular pathology laboratory?
Review Article

Resistances to EGFR tyrosine kinase inhibitors in lung cancer—how to routinely track them in a molecular pathology laboratory?

Véronique Hofman1,2,3, Paul Hofman1,2,3

1Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, 2CNRS, INSERM, IRCAN, 3Hospital-Integrated Biobank (BB-0033-00025), CHU Nice, FHU OncoAge, Université Côte d’Azur, Nice, France

Contributions: (I) Conception and design: All authors; (II) Administrative support: P Hofman; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Paul Hofman, MD, PhD, Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, 30 Voie Romaine, BP69, 06001 Nice cedex 01, France. Email: hofman.p@chu-nice.fr.

Abstract: Patients with advanced or metastatic forms of lung cancer with an activating mutation in epidermal growth factor receptor (EGFR) are given tyrosine kinase inhibitors (TKIs) targeted therapies that are more efficient than chemotherapy. These patients are excluded from first-line immunotherapy. After a phase of regression these tumors develop systematically resistance requiring a rapid change in therapy. At present two strategies are being discussed. The first strategy, so called “historical’ sequential treatment strategy, is based on the administration of first- or second-generation TKIs until the emergence of therapeutic resistance and, in the case of a EGFR T790M mutation, on the administration of third-generation TKIs. The recently proposed second strategy, so called the “next-generation” TKIs strategy, concerns initial treatment with third-generation TKIs. This latter strategy appears to be promising but needs to be confirmed by data comparing survival curves of patients treated in a sequential manner. Several criteria influence the choice of these strategies, in particular the presence of brain metastases, the potential toxicity and the economic model. The selected therapeutic algorithm has certainly an impact on the activity of laboratories. The sequential approach requires investigation into EGFR T790M resistance mutations, using blood and then possibly a tissue biopsy, or into other mechanisms of resistance in the absence of this mutation. In the case of tumor progression under treatment with third-generation TKIs the EGFR C797S mutation in the cis or trans positions is looked for. In the absence of this latter mutation other mechanisms of resistance are then investigated. We describe here the different methodological approaches used to identify resistance mechanisms linked to treatment with TKIs targeting mutations in EGFR.

Keywords: Epidermal growth factor receptor (EGFR); lung carcinoma; targeted therapy; T790M; C797S; resistance mechanisms


Submitted Oct 02, 2018. Accepted for publication Nov 15, 2018.

doi: 10.21037/jtd.2018.11.76


Introduction

Approximately 10% to 15% of Caucasian patients and 50% of Asian patients develop metastatic or advanced lung adenocarcinomas with activating mutation in the epidermal growth factor receptor (EGFR) gene (1). For several years, patients with an activating mutation in EGFR have been treated with first- or second-generation tyrosine kinase inhibitors (TKIs). In about 50% of cases this results in the systematic emergence of the EGFR T790M mutation resistance to this therapy after a few months (2). Detection of this latter mutation leads to treatment of the patient with third-generation TKIs (3,4). However, this third-generation inhibitor has also shown efficient targeting of activating mutations in EGFR. Consequently, a second therapeutic strategy with its initial administration has been proposed recently (4,5). Despite initial efficacy, the latter strategy does not avoid emergence of one or several mechanisms of resistance (6). So, these two strategies, so called “historical sequential” and “next generation” TKIs treatment strategies highlight that the discovery of novel biological data, progress in therapy and the development and improvement in methods of detection of genomic alteration (both with blood and/or tumor tissue) will drive clinicians and biologists to quickly modify their working algorithms.

This review will provide an update on the mechanisms of resistance of non-small cell lung carcinomas (NSCLC) to TKI targeting EGFR mutations and on the advantages and limits of methods for their detection.


Mutations in non-small cell lung cancer: which therapeutic strategy?

The detection of activating mutations in EGFR has given rise to two different algorithms of treatment. Either sequential treatment with first- or second-generation TKIs and then with third-generation TKIs on emergence of tumor progression and on detection of the EGFR T790M mutation or initial treatment with third-generation TKIs (7). The therapeutic choice is presently under discussion and it is difficult at the moment to systematically opt for initial administration of a third-generation TKI. Comparative results concerning the overall survival of patients depending on the therapeutic option are in waiting. However, the efficacy of third-generation TKI in treatment of brain metastases of NSCLC with an EGFR activating mutation has shown initial promise (8).


Mechanisms of resistance and first- and second-generation TKIs

After a more or less extensive period, in general a few months, lung cancer patients presenting with an EGFR mutation and treated with first- and second-generation TKIs relapse and the tumor progresses (6). The most frequent resistance mechanism concerns the emergence of the EGFR T790M mutation occurring in at least 50% of cases (6,9). This mutation appears to arise de novo but may emerge from a minor clone of resistance present in the initial tumor. The detection of this mutation results in treatment with a third-generation TKI (6). More than one out of two patients develops other mechanisms of resistance to first- and second-generation TKIs. Thus, a number of genomic alterations can emerge, including those in the MET (amplification or mutation), HER2 (amplification or mutation) or RET (rearrangements) genes (6,9). In a certain percentage of cases, resistance is associated with histological transformation into small cell lung carcinoma (9). In some cases the mechanism of resistance is uncertain or unknown and quite difficult to identify, in particular when linked to the phenomena of epithelial to mesenchymal transition (10,11). Following the development of immunotherapy new mechanisms of resistance have been revealed more recently. Thus, a strong expression of PD-L1 in tumor cells has been found to be associated with primary resistance to first- and second-generation TKIs in patients with an EGFR activating mutation (12). It is recognized that patients with tumors with a high tumor mutational burden (TMB), in particular in the absence of EGFR mutations, have the best response to treatment with anti-PD1/PD-L1 and the TMB may soon be proposed as a routine clinical test (13). Interestingly, it has been reported recently that patients with tumors with EGFR activating mutations (del 19 or the L858R mutation) and a high TMB (constituting a relatively small percentage of patients with an EGFR mutation) do not respond to first- and second-generation TKI as well as patients with an EGFR mutation and a low TMB (14).


How to detect mechanisms of resistance associated with first- and second-generation TKIs and which approach to adopt?

Detection of the EGFR T790M mutation is done with blood and/or tumor tissue and/or cytological samples (7,15). To date the approach consists in looking for this mutation in circulating free DNA (cfDNA) in blood sample first, and, if negative, to use tissue or cytological material (7,15,16). The sensitivity and specificity of the methods of detection have evolved in recent years and several parameters need to be taken into consideration when choosing a method (15). Two approaches are possible, either targeted investigation of EGFR or investigation into panels of genes including EGFR [using next-generation sequencing (NGS)] (15). The composition of these panels is more or less large and some of the genes included (RET, HER2, MET), which can show genetic alterations that emerge on first- and second-generation TKI treatment, can be accessible to targeted therapies associated with clinical trials (17-19). These different approaches are possible with liquid biopsies, tissue or cell samples. The targeted approaches hold certain advantages (15). Thus, the methods used are very accessible for all molecular pathology laboratories since the equipments are not costly and the techniques are quite easy to perform. These targeted investigations use a number of approaches, in particular the techniques of COBAS, Therascreen, Idylla, Beaming or digital PCR (dPCR) (15,16,20,21). Interpretation of the results is relatively simple, standardized and can be performed by most investigators. The results are obtained very rapidly, most techniques give results in a few hours. The amount of tumor DNA required is probably lower than for methods such as NGS, which is particularly important when investigation into mutations is done with cfDNA or from very few tumor cells. A certain number of these targeted tests are considered in the USA as companion diagnostics to treatment (15). The NGS approach allows detection in a single timeframe of the different causes of resistance observed in patients, when a EGFR T790M mutation is absent, and provides additional information for administration of an alternative therapy. However, the sensitivity of the different analytical methods and the threshold of detection that defines a negative result for a EGFR T790M mutation of a patient with a tumor that progresses rapidly still needs to be discussed (15,16,22). However, the presently used NGS and PCR methods (in particular COBAS) are quite sensitive and must give relatively identical results for detection (22). The question is open as to whether the dPCR techniques should be used first for initial detection or if this ultra-sensitive technique should be reserved for tumors with EGFR activating mutations that progress very rapidly, for which no other method identifies a resistance mutation (15,16,23). The dPCR techniques are more sensitive and the threshold of detection of the EGFR T790M mutation is extremely low, questioning the possibility of sometime getting a false positive result (24,25). In addition, the possibility of germ-line circulating DNA with a EGFR T790M mutation must not be excluded in this situation (24). When the threshold of detection is very low the question of treating or not treating the patient with a third-generation TKI, a costly, sometimes toxic and ineffective therapy, while still not having excluded other mechanisms of resistance overlooked by the targeted method, can be raised.


Mechanisms of resistance and third-generation TKIs

Third-generation TKIs are administered sequentially as second-line treatment after the emergence of the EGFR T790M mutation but can also be proposed as initial treatment (7). In the first therapeutic option the mechanisms of resistance depend on the association of two pathways resulting in the loss of expression of the EGFR T790M mutation and the emergence of mutations in the kinase (6,7). The mechanisms of resistance associated to the loss of the EGFR T790M mutation can result from histological transformation into a small cell lung carcinoma, a mechanism that involves epithelial to mesenchymal transition or from the emergence of genomic alterations in genes other than EGFR (7,26). As research studies progress the length of this list of genomic alterations increases, including mutation (BRAF, PI3KCA, KRAS), fusion (RET, FGFR3, BRAF) and amplification (MET) (6). If the EGFR T790M mutation persists tumor progression is associated with the emergence of the EGFR C797S mutation. In the case of initial treatment with third-generation TKI the mechanisms of resistance are the same except that the EGFR T790M mutation is not detected (7). The EGFR C797S mutation occurs in the cis or trans position (6,7). Guided by the mechanism of resistance, treatment with a third-generation TKI can be proposed. Chemotherapy can be given in the case of transformation into a small cell lung carcinoma, or if the mechanism is not identified or if no clinical trial can be proposed depending on the mutation identified. A treatment from a clinical trial targeting a genomic alteration can be sometimes proposed (7). A trans allelic conformation of the C797S can result in the association of a first- or second- (erlotinib or gefitinib) generation TKI with a third-generation (osimertinib) TKI. A cis allelic conformation of this mutation results in chemotherapy or a treatment associated with a clinical trial (7).


How to detect mechanisms of resistance associated with third-generation TKIs and which approach to adopt?

The detection of mechanisms of resistance associated with third-generation TKI as well as the cis or trans allelic configurations uses blood and/or tumor tissue (7,15,27). Detection of the C797S mutation is more often performed with cf-DNA. A negative result leads to analysis of tumor tissue. The marketed tests for the detection of mutations in EGFR have not yet integrated the possible detection of C797S in EGFR. Thus, the two companion tests approved by the FDA (the COBAS and Therascreen tests) are currently not able to detect it. The commercial NGS panels do not detect all mutations too. One of the recent approaches uses the dPCR technique to detect mutation in C797S in cis or trans positions (7,15). The algorithm that can be proposed involves investigation into the loss or maintenance of the EGFR T790M mutation if the patient has received sequential TKIs and, in the case of persistence of this mutation, investigation into the C797S mutation and its cis or trans allelic configuration (7). The latter mutation is looked for when a tumor progresses when the patient received first-line treatment with third-generation TKI. The absence of the C797S mutation leads to investigation into other mechanisms of resistance. The NGS technique can use blood samples (16). However, a negative result obtained with blood sample suggests either that the method is not sensitive enough or that circulating somatic DNA is absent. Thus, a noncontributory result from blood leads to a tissue biopsy with which the EGFR T790M mutation may be then detected. However, a negative result with the tissue biopsy does not exclude the emergence and detection of the EGFR T790M mutation with a second tissue biopsy (27). Additionally, a histological, immunochemical or molecular analysis of the tissue biopsy can show evidence of histological transformation into a small cell lung carcinoma or of different genomic alterations when using NGS. Examination of the tissue with immunohistochemical markers may identify also the phenomena of epithelial to mesenchymal transformation (6).


Conclusions

The treatments administered to patients with lung tumors carrying mutations in EGFR orientate the choice of approach developed by the laboratories for the detection of resistance mutations to TKIs. Thus, if first- or second generation TKI are administered investigation into the EGFR T790M mutation in blood need to be systematic if the tumor progresses. Administration of a third-generation TKI followed by tumor progression leads to investigation into the C797S mutation, if the EGFR T790M mutation is maintained. Initial administration of third-generation TKI calls for investigation into the C797S mutation if the tumor progresses. It is then important to distinguish between a mutation in the cis or trans position since this information allows continuation or not of treatment with third-generation TKI in association with erlotinib or gefitinib.

The organization of the care of patients, the proximity of a molecular pathology laboratory which can perform analyses with liquid biopsies particularly, the economic model and the budget of the institution as well as the turnaround time in obtaining the results, all influence in fact more or less directly the choice of therapy. Systematic administration of a third-generation TKI as a first option may be possible if the benefit to overall survival is better than for sequential administration with different TKI. Then the superior cost of third-generation TKI and the possibility of toxicity must be discussed.

Liquid biopsies for investigation of resistance mutations in EGFR are strongly recommended for patients with advanced stage or metastatic lung cancer (15,28). For this, the methods of extraction of nucleic acids and the ability to detect different mutations are becoming more accessible to the majority of laboratories. Apart from tumor tissue and blood, other biological samples such as urine or exhaled air may allow in the future detection of mutations in EGFR, in particular mutations of resistance (29,30). However, these novel non-invasive approaches are not performed in the routine practice and require strong validation in different clinical trials.


Acknowledgements

The authors thank le cancéropole PACA, le conseil départemental des alpes maritimes and le comité départemental 06 de lutte contre le cancer.


Footnote

Conflicts of Interest: P Hofman declares receiving honoraria from pharmaceutical (Astrazeneca, Roche, Novartis, Bristol Myers Squibb, MSD) and biotechnology (Qiagen, Biocartis, Thermofisher) companies for attendance at advisory board meetings.


References

  1. Graham RP, Treece AL, Lindeman NI, et al. Worldwide Frequency of Commonly Detected EGFR Mutations. Arch Pathol Lab Med 2018;142:163-7. [Crossref] [PubMed]
  2. Denis MG, Vallée A, Théoleyre S. EGFR T790M resistance mutation in non small-cell lung carcinoma. Clin Chim Acta 2015;444:81-5. [Crossref] [PubMed]
  3. Attili I, Karachaliou N, Conte P, et al. Therapeutic approaches for T790M mutation positive non-small-cell lung cancer. Expert Rev Anticancer Ther 2018;18:1021-30. [Crossref] [PubMed]
  4. Malapelle U, Ricciuti B, Baglivo S, et al. Osimertinib. Recent Results Cancer Res 2018;211:257-76. [Crossref] [PubMed]
  5. Bulbul A, Husain H. First-Line Treatment in EGFR Mutant Non-Small Cell Lung Cancer: Is There a Best Option? Front Oncol 2018;8:94. [Crossref] [PubMed]
  6. Oxnard GR, Hu Y, Mileham KF, et al. Assessment of Resistance Mechanisms and Clinical Implications in Patients With EGFR T790M-Positive Lung Cancer and Acquired Resistance to Osimertinib. JAMA Oncol 2018;4:1527-34. [Crossref] [PubMed]
  7. Recondo G, Facchinetti F, Olaussen KA, et al. Making the first move in EGFR-driven or ALK-driven NSCLC: first-generation or next-generation TKI? Nat Rev Clin Oncol 2018;15:694-708. [Crossref] [PubMed]
  8. Saboundji K, Auliac JB, Pérol M, et al. Efficacy of Osimertinib in EGFR-Mutated Non-Small Cell Lung Cancer with Leptomeningeal Metastases Pretreated with EGFR-Tyrosine Kinase Inhibitors. Target Oncol 2018;13:501-7. [Crossref] [PubMed]
  9. Schrank Z, Chhabra G, Lin L, et al. Current Molecular-Targeted Therapies in NSCLC and Their Mechanism of Resistance. Cancers (Basel) 2018;10:224. [Crossref] [PubMed]
  10. Suda K, Murakami I, Yu H, et al. CD44 facilitates epithelial to mesenchymal transition phenotypic change at acquisition of resistance to EGFR kinase inhibitors in lung cancer. Mol Cancer Ther 2018;17:2257-65. [Crossref] [PubMed]
  11. Yoshida T, Song L, Bai Y, et al. ZEB1 Mediates Acquired Resistance to the Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors in Non-Small Cell Lung Cancer. PLoS One 2016;11:e0147344. [Crossref] [PubMed]
  12. Su S, Dong ZY, Xie Z, et al. Strong PD-L1 expression predicts poor response and de novo resistance to EGFR TKIs among non-small cell lung cancer patients with EGFR mutation. J Thorac Oncol 2018;13:1668-75. [Crossref] [PubMed]
  13. Heeke S, Hofman P. Tumor mutation burden assessment as a predictive biomarker for immunotherapy in lung cancer patients: getting ready for primetime or not? Transl Lung Cancer Res 2018;7:631-8. [Crossref] [PubMed]
  14. Offin M, Rizvi H, Tenet M, et al. Tumor Mutation Burden and Efficacy of EGFR-Tyrosine Kinase Inhibitors in Patients with EGFR-Mutant Lung Cancers. Clin Cancer Res 2018. [Epub ahead of print]. [Crossref] [PubMed]
  15. Rolfo C, Mack PC, Scagliotti GV, et al. Liquid Biopsy for Advanced Non-Small Cell Lung Cancer (NSCLC): A Statement Paper from the IASLC. J Thorac Oncol 2018;13:1248-68. [Crossref] [PubMed]
  16. Normanno N, Denis MG, Thress KS, et al. Guide to detecting epidermal growth factor receptor (EGFR) mutations in ctDNA of patients with advanced non-small-cell lung cancer. Oncotarget 2017;8:12501-16. [Crossref] [PubMed]
  17. Guibert N, Hu Y, Feeney N, et al. Amplicon-based next-generation sequencing of plasma cell-free DNA for detection of driver and resistance mutations in advanced non-small cell lung cancer. Ann Oncol 2018;29:1049-55. [Crossref] [PubMed]
  18. Sacher AG, Komatsubara KM, Oxnard GR. Application of Plasma Genotyping Technologies in Non-Small Cell Lung Cancer: A Practical Review. J Thorac Oncol 2017;12:1344-56. [Crossref] [PubMed]
  19. Vollbrecht C, Lehmann A, Lenze D, et al. Validation and comparison of two NGS assays for the detection of EGFR T790M resistance mutation in liquid biopsies of NSCLC patients. Oncotarget 2018;9:18529-39. [Crossref] [PubMed]
  20. Oxnard GR, Thress KS, Alden RS, et al. Association Between Plasma Genotyping and Outcomes of Treatment With Osimertinib (AZD9291) in Advanced Non-Small-Cell Lung Cancer. J Clin Oncol 2016;34:3375-82. [Crossref] [PubMed]
  21. Ilie M, Butori C, Lassalle S, et al. Optimization of EGFR mutation detection by the fully-automated qPCR-based Idylla system on tumor tissue from patients with non-small cell lung cancer. Oncotarget 2017;8:103055-62. [Crossref] [PubMed]
  22. Cabanero M, Tsao MS. Circulating tumour DNA in EGFR-mutant non-small-cell lung cancer. Curr Oncol 2018;25:S38-44. [Crossref] [PubMed]
  23. Kuang Y, O’Connell A, Sacher AG, et al. Monitoring of Response and Resistance in Plasma of EGFR-Mutant Lung Cancer Using Droplet Digital PCR. Methods Mol Biol 2018;1768:193-207. [Crossref] [PubMed]
  24. Hu Y, Alden RS, Odegaard JI, et al. Discrimination of Germline EGFR T790M Mutations in Plasma Cell-Free DNA Allows Study of Prevalence Across 31,414 Cancer Patients. Clin Cancer Res 2017;23:7351-9. [Crossref] [PubMed]
  25. Hu Y, Ulrich BC, Supplee J, et al. False-Positive Plasma Genotyping Due to Clonal Hematopoiesis. Clin Cancer Res 2018;24:4437-43. [Crossref] [PubMed]
  26. Morgillo F, Della Corte CM, Fasano M, et al. Mechanisms of resistance to EGFR-targeted drugs: lung cancer. ESMO Open 2016;1:e000060. [Crossref] [PubMed]
  27. Ichihara E, Hotta K, Kubo T, et al. Clinical significance of repeat rebiopsy in detecting the EGFR T790M secondary mutation in patients with non-small cell lung cancer. Oncotarget 2018;9:29525-31. [Crossref] [PubMed]
  28. Merker JD, Oxnard GR, Compton C, et al. Circulating Tumor DNA Analysis in Patients With Cancer: American Society of Clinical Oncology and College of American Pathologists Joint Review. J Clin Oncol 2018;36:1631-41. [Crossref] [PubMed]
  29. Reckamp KL, Melnikova VO, Karlovich C, et al. A Highly Sensitive and Quantitative Test Platform for Detection of NSCLC EGFR Mutations in Urine and Plasma. J Thorac Oncol 2016;11:1690-700. [Crossref] [PubMed]
  30. Smyth RJ, Toomey SM, Sartori A, et al. Brief Report on the Detection of the EGFR T790M Mutation in Exhaled Breath Condensate from Lung Cancer Patients. J Thorac Oncol 2018;13:1213-6. [Crossref] [PubMed]
Cite this article as: Hofman V, Hofman P. Resistances to EGFR tyrosine kinase inhibitors in lung cancer—how to routinely track them in a molecular pathology laboratory? J Thorac Dis 2019;11(Suppl 1):S65-S70. doi: 10.21037/jtd.2018.11.76