Anti-galectin-9 therapy synergizes with EGFR inhibition to reprogram the tumor microenvironment and overcome immune evasion

In a report accompanying our article, Spigel et al present their findings on combining erlotinib, an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), with onartuzumab (MetMAb; Genentech, South San Francisco, CA), a humanized monovalent monoclonal antibody that blocks ligand activation of MET receptor tyrosine kinase (RTK). MET-positive patients (defined by immunohistochemistry) treated with erlotinib and onartuzumab demonstrated improved progression-free and overall survival, whereas MET-negative patients had worse outcomes. This article provides an overview of signaling control by EGFR and MET and the biologic rationale for cotargeting strategies. EGFR and MET are membrane-bound RTKs consisting of extracellular domains that bind to growth factors and intracellular domains that contain a kinase domain (Fig 1). MET is activated by its cognate ligand, hepatocyte growth factor (HGF), which is produced by stromal cells, also in an autocrine fashion. EGFR is activated by several ligands, including EGF, transforming growth factor alpha (TGF ), and heparin-binding EGF. On receptor binding of the ligands, the kinase domain becomes activated, leading to transautophosphorylation of tyrosine residues on the cytoplasmic tail. Phosphorylation of these tyrosine residues creates intramolecular docking sites for proteins containing Src homology 2 domains that serve as readers for tyrosine phosphorylation. This includes adaptor proteins such as growth factor receptor–bound protein 2 (GRB2), GAB1 (GRB2-associated binding protein 1), and Src homology 2–containing transforming protein 1 (SHC1). These proteins serve as scaffolds to support signal transduction to the mitogen-activated protein kinase (MAPK), phosphoinositide 3-kinase (PI3K), phospholipase C (PLC), and signal transducer and activator of transcription (STAT) pathways. EGFR and MET use a highly overlapping repertoire of signaling adaptors and downstream effector pathways, highlighting their combined ability to codrive oncogenic signaling. Three general approaches are being employed in clinic to target EGFR and MET. The first uses small-molecule TKIs, such as erlotinib for EGFR and crizotinib for MET, that bind the ATP-binding pocket in the kinase domain and inhibit the kinase function. The second approach uses antibody therapy directed against the extracellular domain of the MET receptor (onartuzumab) or the HGF ligand (ficlatuzumab). The third approach targets downstream proteins involved in signaling, such as inhibitors of PI3K, or molecules regulating receptor trafficking and degradation, such as heat shock proteins. The EGFR pathway can be activated in lung cancer through genomic events, such as activating EGFR mutations or gene amplification, or through tumor environmental events, such as autocrine production of EGFR-activating ligands. Likewise, MET activation occurs through HGF produced in the tumor microenvironment and through MET gene amplification. MET amplification by fluorescent in situ hybridization occurs in approximately 5% to 15% of lung adenocarcinomas. Increased MET is associated with advanced stage of disease, poor outcome, brain metastasis, and high levels of EGFR. Coactivation of EGFR and MET occurs in subsets of lung cancer cell lines and tumor tissues and is associated with aggressive disease. In cells lacking EGFR mutation or high levels of MET, activation of either receptor can produce extensive signaling crosstalk to the opposing RTK and downstream substrates. EGFR activation can induce accumulation of activated MET protein through a c-SRC– dependent mechanism, and dual MET/EGFR inhibition has shown increased activity in xenograft models. Phosphoproteomic analysis of lung tumors and cell lines can identify tumors with concomitant EGFR and MET activation. EGFR, either through mutation or ligand-mediated activation, can also regulate MET levels through hypoxia-inducible factor-1 . Importantly, MET signaling is one actionable mechanism driving resistance to EGFR TKIs. MET activation can drive intrinsic as well as acquired resistance to EGFR through genomic and tumor microenvironment–mediated mechanisms. Primary resistance to anti-EGFR antibody therapy has been associated with MET activation in primary explant models of lung cancer. Approximately 5% of EGFR mutation–positive tumors with acquired resistance to EGFR TKIs are found to have MET gene amplification. Mechanistically, amplified MET co-opts use of ERBB3 to maintain the PI3K pathway activation. Combining MET and EGFR TKIs or EGFR/HSP90 inhibition has been effective in mouse models of lung cancer with T790M EGFR and MET amplification. High levels of HGF are associated with intrinsic or acquired resistance to EGFR TKIs in patients with lung cancer with activating EGFR mutations and in those with other solid tumors. HGF production by stromal fibroblasts leads to fibroblast-induced JOURNAL OF CLINICAL ONCOLOGY U N D E R S T A N D I N G T H E P A T H W A Y VOLUME 31 NUMBER 32 NOVEMBER 1

Meta-Analysis of EGFR Kinase Inhibitors: Not Always Greater Than the Sum of Its Parts

Lung cancer management has been transformed by the discovery and effective targeting of driver mutations such as epidermal growth factor receptor (EGFR). Tyrosine Kinase Inhibitors (TKIs) that block EGFR kinase activity such as erlotinib and osimertinib cause dramatic tumor shrinkage and prolonged responses in patients whose tumors have activating EGFR mutations. However, resistance universally develops. Drug persister cells with properties of cancer stem cell-like cells play a major role in drug resistance. In tumors without pre-existing resistant clones, some tumor clonogens survive, despite expressing the driver mutation, to acquire target reactivation or bypass resistance mechanisms. Identification of biomarkers that are mechanistically linked to EGFR TKI resistant cell populations would have clinical utility in early determination of disease recurrence in EGFR mutant NSCLC patients. Previously, we have reported that EGFR-TKI treatment activates Notch3, and here we have identified that Notch3 activates β-catenin transcriptional target, PAI1, which could play a role in drug persistence and could be used for early identification of disease recurrence. Our in vitro ELISA studies have identified an increase in secreted PAI1 levels after treatment with the EGFR TKIs erlotinib and osimertinib demonstrate that measuring PAI1 levels could serve as an indicator of EGFR TKI persistence. To further validate PAI1 as a surrogate biomarker for EGFR TKI treatment, we performed a retrospective study in NSCLC patients (n = 42) with EGFR mutant tumors. Using ELISA to detect PAI1 protein in pre- and post-treatment serum samples as a mechanism-based indicator for β-catenin activation, we observed a broad range in pre-treatment PAI1 levels, spanning from 0.8 ng/ml to 134 ng/ml, suggesting a variable baseline β-catenin activation. Doing survival analysis after dichotomizing patients into low and high baseline PAI1 level groups, we found patients with low basal PAI1 levels had a significantly shorter PFS with EGFR TKI treatment compared to patients with high basal levels. Comparing patients with a ≥ 2-fold induction to those with less than 2-fold, there was a similar trend for worsened survival in those who showed significant induction of PAI1. Overall, we demonstrate that PAI1 expression is a candidate marker for β-catenin activation and the development of drug persisters; thus, it is a potential surrogate marker for poor outcome in patients receiving EGFR TKI therapy and a potential biomarker for selecting patients for β-catenin-targeted therapy. Citation Format: Rajeswara Rao Arasada, Walter Wang, Shankar Suman, David Paul Carbone. PAI1, a β catenin transcriptional target, serves as a surrogate biomarker to predict EGFR TKI mediated drug persistence in EGFR mutant NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4930.

Objectives: Three generations of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have developed to treat advanced non-small cell lung cancer (NSCLC) with EGFR mutations. However, each generation of TKI has different spectrum of activity against the different mutations. Currently, no EGFR TKIs are approved for NSCLC with EGFR insertion 20 mutation. Previously, we have shown that TAS6417, a novel EGFR TKI, is effective for cells harboring EGFR insertion mutations in vitro and in vivo. In this study, we asked whether TAS6417 is effective for tumors harboring other EGFR mutations observed in clinic. Methods: Genetically engineered Ba/F3 cells expressing EGFR mutants, lung cancer cell lines including newly established cell lines established from tumors harboring EGFR insertion 20 were used to evaluate efficacy of erlotinib, afatinib, osimertinib, poziotinib, and TAS6417 by cell viability analyses. The selectivity indexes (the wild type EGFR/mutant EGFR ratio) were calculated to predict a therapeutic window for each TKI. Effects of each EGFR TKI on EGFR signaling and apoptosis were evaluated by western blotting. Finally, murine xenograft models were used to evaluate efficacy of TAS6417 and all generation of EGFR TKIs for the treatment of NSCLC with EGFR mutations. Results: Cell viability assays demonstrate that TAS6417 was as potent as poziotinib against common EGFR mutations (L868R and exon 19 deletions) and the most potent against cells harboring the T790M resistant mutations. In addition, TAS6417 was effective in cells harboring EGFR rare mutations (G719X L861Q, and S768I). Even though IC50s were higher than those of poziotinib in cells harboring EGFR insertion 20, the selectivity indexes (the wild type EGFR/mutant EGFR ratio) were higher in TAS6417, indicating a wider therapeutic window. TAS6417 was effective in mice injected with cells harboring EGFR mutations with no body weight loss. Conclusions: Our preclinical results confirm that TAS6417 is a potent EGFR TKI with a broader spectrum of activity and a wider therapeutic window and support clinical trials in the near future. Citation Format: Hibiki Udagawa, Shinichi Hasako, Akihiro Ohashi, Naomi Abe, Tomonori Haruma, Toshiharu Komori, Miki Terasaka, Ryoto Fujita, Kaoru Funabashi, Hiroyuki Yasuda, Kazutaka Miyadera, Koichi Goto, Daniel B. Costa, Susumu S. Kobayashi. Preclinical evaluation of TAS6417 as a highly effective, pan-mutation-selective EGFR tyrosine kinase inhibitor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1329.

Advanced lung cancer patients that present with activating mutations in the epidermal growth factor receptor (EGFR) are treated with EGFR tyrosine kinase inhibitors (EGFR TKIs). While initially effective, all patients eventually develop therapeutic resistance and experience disease progression. Strategies to prevent EGFR TKI resistance are needed to improve patient outcomes. We chronically exposed H1975 cells (EGFR-L858R/T790M) to EGFR TKI osimertinib to study emergence of resistance. H1975 cells that were expanded under drug treatment (designated H1975OR) acquired an EMT phenotype and were re-sensitized to EGFR TKI upon prolonged drug withdrawal. These features led us to classify H1975OR as a model of drug tolerance rather than a model of stable drug resistance. Bulk RNA-sequencing revealed significant dysregulation of chromatin modifying genes in H1975OR. Bromodomain containing protein 9 (BRD9) was among the set of significantly upregulated chromatin regulators and was selected for further investigation as a mediator of drug tolerance. Although BRD9 is known to control stemness and EMT, its role in promoting EMT-associated TKI resistance is unknown. To test the contribution of BRD9 to EGFR TKI tolerance, pharmacological inhibition of BRD9 by the selective inhibitor, I-BRD9 significantly increased sensitivity to TKI in models with EMT phenotypes (IC50 reduced 3-4 fold). In contrast, I-BRD9 did not affect TKI sensitivity in two models where EGFR TKI resistance was genetically fixed. To gain mechanistic insights, H1975OR cells were treated with osimertinib +/-I-BRD9 and subjected to RNA-sequencing. Combination of osimertinib with I-BRD9 resulted in a significant decrease in EMT-related genes, including MMP9, Zeb2, PDGFRb and IL6. Further, use of I-BRD9 in these models diminished the mesenchymal phenotype, as measured in cell invasion assays. Genetic knockdown of BRD9 via shRNA phenocopied effects of I-BRD9 treatment, supporting BRD9 as the therapeutic target of I-BRD9 in our cell line models. To further establish a role for BRD9 in the emergence of drug tolerant cells, we exposed treatment naïve H1975 cells to EGFR TKI ± I-BRD9. I-BRD9 significantly decreased the size of the EGFR TKI tolerant population. In time course studies, I-BRD9 also delayed onset of TKI resistance. In conclusion, our data identifies BRD9 as a novel mediator of EMT-associated EGFR-TKI tolerance in EGFR-mutant lung cancer. Our data further implicates BRD9 inhibition as a novel strategy to delay the emergence of drug tolerant cells that eventually give rise to stable drug resistance. This work was supported by the Roswell Park Alliance Foundation and National Cancer Institute (NCI) grant P30CA016056 involving the use of Roswell Park Comprehensive Cancer Center’s Genomics and Bioinformatics Shared Resources. Citation Format: Hannah Calkins, Tatiana Shaurova, David W. Goodrich, Mukund Seshadri, Candace S. Johnson, Pamela A. Hershberger. BRD9 inhibition overcomes epithelial to mesenchymal transition (EMT)-associated tyrosine kinase inhibitor (TKI) tolerance in epidermal growth factor receptor (EGFR) mutant lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1093.

MTE23.02 Biomarker Characterization: Challenges and Perspectives

Epidermal growth factor receptor tyrosine kinase inhibitors as initial therapy for non-small cell lung cancer: Focus on epidermal growth factor receptor mutation testing and mutation-positive patients

Simple SummaryCo-mutations may affect EGFR-TKIs efficacy in advanced EGFR mutated NSCLC and could be associated with worse prognosis. Using a clinical next-generation sequencing (NGS) panel we retrospectively assessed the impact of co-alterations in 106 consecutive patients treated with front-line EGFR-TKIs. Clinical and molecular data were retrieved. According to our data, co-mutations do not seem to have any predictive nor prognostic role. Co-mutations are associated with younger age at diagnosis and lymph nodes metastases at baseline. No association with PD-L1 expression level was observed.Background: Tyrosine kinase inhibitors (TKIs) show variable efficacy in epidermal growth factor receptor mutation-positive (EGFR+) NSCLC patients, even in patients harbouring the same mutation. Co-alterations may predict different outcomes to TKIs. Methods: We retrospectively analysed all consecutive EGFR+ advanced NSCLC treated with first-line TKIs at our Institutions. NGS with a 22 genes clinical panel was performed on diagnostic specimens. PD-L1 expression was also evaluated. Results: Of the 106 analysed specimens, 59 showed concomitant pathogenic mutations. No differences in OS (mOS 22.8 vs. 29.5 months; p = 0.088), PFS (mPFS 10.9 vs. 11.2 months; p = 0.415) and ORR (55.9% vs. 68.1%; p = 0.202) were observed comparing patients without and with co-alterations. Subgroup analysis by EGFR mutation type and TKIs generation (1st/2nd vs. 3rd) did not show any difference too. No correlations of PD-L1 expression levels by co-mutational status were found. Significant associations with presence of co-alterations and younger age (p = 0.018) and baseline lymph nodes metastases (p = 0.032) were observed. Patients without concomitant alterations had a significant higher risk of bone progression (26.5% vs. 3.3%, p = 0.011). Conclusions: Pathogenic co-alterations does not seem to predict survival nor efficacy of EGFR TKIs in previously untreated advanced NSCLC.

Background: The 3rd-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI), like osimertinib, provide marked clinical benefit for EGFR-mutant non-small cell lung cancer (NSCLC) patients with extended overall survival vs former EGFR TKIs (e.g., gefitinib). Approximate 10%-24% of NSCLC patients acquired C797S mutation when treated with osimertinib. Unfortunately, limited treatments are available for patients after osimertinib resistance. QLH11811 is a new generation EGFR TKI designed to target the EGFR with ex19del/L858R/T790M/C797S mutations. Here, we disclosed its preclinical data to support its clinical development in EGFR-mutant NSCLC. Methods: The inhibitory activity of QLH11811 on mutated and wild-type EGFR was tested in engineered cell lines and patient-derived organoid (PDO). The in vivo antitumor activity of QLH11811 was evaluated in the patient-derived xenograft (PDX) model with cis EGFR ex19del/T790M/C797S triple mutations, and the H1975 (cis EGFR L858R/T790M/C797S and cis EGFR ex19del/T790M/C797S), PC-9 (EGFR ex19del), and Ba/F3 (EGFR ex19del/C797S) cell line-derived xenograft (CDX) models. The pharmacokinetic (PK) profile was investigated in animals, and the human PK profile was projected using allometric scaling method. Results: QLH11811 displayed potent anti-proliferation activity against Ba/F3 (EGFR ex19del/T790M/C797S, L858R/T790M/C797S, ex19del/C797S, or L858R/C797S), PC-9 (EGFR ex19del/T790M/C797S), H1975 (EGFR L858R/T790M/C797S, L858R/T790M), H3255 (L858R) and HCC827 (ex19del) with IC50 of 2.6, 3.1, 2.4, 4.1, 51, 50, 27, 21, and 11 nM, respectively. QLH11811 also showed excellent selectivity when compared the above values with its IC50 against Ba/F3 (EGFR wild-type, 61 nM) and A431 (EGFR wild-type, 440nM). QLH11811 demonstrated excellent inhibitory activities against seven osimertinib-resistant PDO models. Daily oral QLH11811 significantly inhibited tumor growth at all doses tested (P <0.001) in the PDX model, the H1975, PC-9, and Ba/F3 CDX models. QLH11811 had good PK profile in mice, rats, dogs, and monkeys, with the absolute bioavailability at 71%, 29%, 80% and 42%. The human PK parameters were obtained by allometric scaling method, and the efficacious dose in human was projected to 103 mg, daily. Conclusion: The in vitro and in vivo preclinical data demonstrated QLH11811 is a highly potent and selective 4th-generation EGFR TKI with activity against the osimertinib-resistant NSCLC with EGFR C797S mutation. The preclinical PK data supported the efficacious dose of QLH11811 in human would be 103 mg. Citation Format: Shansong Zheng, Wei Deng, Qingmei Zheng, Yingying Yang, Na Li, Tan Pang, Xueying Feng, Simon Taylor, Lina Ma, Yaqiong Wu, Ziwei Zhao. QLH11811, a selective 4th-generation EGFR inhibitor for osimertinib-resistant EGFR-mutant NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5457.

The ability to predict treatment response and clinical (survival) outcomes is one of the two “holy grails” of cancer biomarker development, the other being early detection or risk stratification by population screening ( 1 ). In advanced non – small-cell lung cancer (NSCLC), small-molecule tyrosine kinase inhibitors (TKIs) of the epidermal growth factor receptor (EGFR) represent a breakthrough for targeted therapy, yet only a small proportion of patients (especially among non – East Asians) appear to benefit from these expensive agents ( 2 , 3 ). Previous studies have shown that EGFR immunohistochemistry, tyrosine kinase domain mutations, and/or EGFR gene copy number by fluorescent in situ hybridization (FISH) are biomarkers that are potentially useful to select patients more likely to benefit from EGFR TKIs ( 4 – 6 ). Aside from the incomplete validation of these markers for routine clinical implementation, mutation and FISH analyses are limited by tissue availability and, at times, technical feasibility ( 5 ). Therefore, a strongly predictive but simple blood-based test has great potential for becoming the ultimate biomarker for selecting patients who are likely to benefit from EGFR TKI therapy. In this issue of the Journal, Taguchi et al. ( 7 ) report a proteomic algorithm (signature) that classifi es patients according to their likely outcomes after EGFR TKI therapy. This algorithm was generated by matrix-assisted laser desorption ionization (MALDI) mass spectroscopy (MS) analysis of pretreatment sera or plasma of patients. The authors used a training set of 139 patients treated with second- or greater-line gefi tinib who were recruited from three separate institutions in Europe or Asia to discover eight MALDI signature peaks that form the predictive algorithm. This classifi er was then validated in two independent cohorts of gefi tinibor erlotinib-treated patients from Italy and the United States. In fact, this study marks the fi rst large-scale multi-institutional evaluation of an MS-based protein signature in the serum or plasma of NSCLC patients for predicting EGFR TKI – related clinical outcomes. The study showed that, despite variability in the source or nature of samples studied and in the spectra generated by different operators, the data preprocessing and normalization procedures were able to generate MALDI MS features that were reproducible in two independent laboratories. Furthermore, the clinical outcome classifi er (which classifi ed patients into good, poor, or undefi ned classes) was validated in two independent cohorts of patients receiving fi rst- or greater-line gefi tinib or erlotinib therapy. More important, the authors claim that the algorithm is predictive and not prognostic, in that its classifi cation capability failed in three separate cohorts of patients who were not treated with EGFR TKIs. The authors conclude that their eight-peak MALDI MS algorithm might assist in the pretreatment selection of appropriate subgroups of NSCLC pa tients for

An American Society of Clinical Oncology (ASCO) provisional clinical opinion (PCO) offers timely clinical direction to ASCO's membership following publication or presentation of potentially practice-changing data from major studies. This PCO addresses the clinical utility of using epidermal growth factor receptor (EGFR) mutation testing for patients with advanced non-small-cell lung cancer (NSCLC) to predict the benefit of taking a first-line EGFR tyrosine kinase inhibitor (TKI). Patients with EGFR-mutated NSCLC have a significantly higher rate of partial responses to the EGFR TKIs gefitinib and erlotinib. In the United States, approximately 15% of patients with adenocarcinoma of the lung harbor activating EGFR mutations. EGFR mutation testing is widespread at academic medical centers and in some locales in community practice. As of yet, there is no evidence of an overall survival (OS) benefit from selecting treatment based on performing this testing. One large phase III trial (the Iressa Pan-Asia Study [IPASS] trial), three smaller phase III randomized controlled trials using progression-free survival as the primary end point, and one small phase III trial with OS as the primary end point, all involving first-line EGFR TKIs and chemotherapy doublets, form the basis of this PCO. On the basis of the results of five phase III randomized controlled trials, patients with NSCLC who are being considered for first-line therapy with an EGFR TKI (patients who have not previously received chemotherapy or an EGFR TKI) should have their tumor tested for EGFR mutations to determine whether an EGFR TKI or chemotherapy is the appropriate first-line therapy. NOTE. ASCO's provisional clinical opinions (PCOs) reflect expert consensus based on clinical evidence and literature available at the time they are written and are intended to assist physicians in clinical decision making and identify questions and settings for further research. Because of the rapid flow of scientific information in oncology, new evidence may have emerged since the time a PCO was submitted for publication. PCOs are not continually updated and may not reflect the most recent evidence. PCOs cannot account for individual variation among patients and cannot be considered inclusive of all proper methods of care or exclusive of other treatments. It is the responsibility of the treating physician or other health care provider, relying on independent experience and knowledge of the patient, to determine the best course of treatment for the patient. Accordingly, adherence to any PCO is voluntary, with the ultimate determination regarding its application to be made by the physician in light of each patient's individual circumstances. ASCO PCOs describe the use of procedures and therapies in clinical practice and cannot be assumed to apply to the use of these interventions in the context of clinical trials. ASCO assumes no responsibility for any injury or damage to persons or property arising out of or related to any use of ASCO's PCOs, or for any errors or omissions.

Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective for many patients with lung cancer with EGFR mutations. However, not all patients are responsive to EGFR TKIs, including even those harboring EGFR-sensitizing mutations. In this study, we quantified the cells and cellular interaction features of the tumor microenvironment (TME) using routine H&E-stained biopsy sections. These TME features were used to develop a prediction model for survival benefit from EGFR TKI therapy in patients with lung adenocarcinoma and EGFR-sensitizing mutations in the Lung Cancer Mutation Consortium 1 (LCMC1) and validated in an independent LCMC2 cohort. In the validation data set, EGFR TKI treatment prolonged survival in the predicted-to-benefit group but not in the predicted-not-to-benefit group. Among patients treated with EGFR TKIs, the predicted-to-benefit group had prolonged survival outcomes compared with the predicted not-to-benefit group. The EGFR TKI survival benefit positively correlated with tumor-tumor interaction image features and negatively correlated with tumor-stroma interaction. Moreover, the tumor-stroma interaction was associated with higher activation of the hepatocyte growth factor/MET-mediated PI3K/AKT signaling pathway and epithelial-mesenchymal transition process, supporting the hypothesis of fibroblast-involved resistance to EGFR TKI treatment.

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors in non-small cell lung cancer harboring uncommon EGFR mutations: Focus on afatinib

Most patients with non‐small cell lung cancer (NSCLC) harboring common epidermal growth factor receptor (EGFR) mutations, such as deletions in exon 19 or the L858R mutation in exon 21, respond dramatically to EGFR tyrosine kinase inhibitors (EGFR‐TKI), and their sensitivities to various EGFR‐TKI have been well characterized. Our previous article showed the in vitro sensitivities of EGFR exon 18 mutations to EGFR‐TKI, but little information regarding the sensitivities of other uncommon EGFR mutations is available. First, stable transfectant Ba/F3 cell lines harboring EGFR L858R (Ba/F3‐L858R), L861Q (Ba/F3‐L861Q) or S768I (Ba/F3‐S768I) mutations were created and their drug sensitivities to various EGFR‐TKI were examined. Both the Ba/F3‐L861Q and Ba/F3‐S768I cell lines were less sensitive to erlotinib, compared with the Ba/F3‐L858R cell line, but their sensitivities to afatinib were similar to that of the Ba/F3‐L858R cell line. The Ba/F3‐L861Q cell line was similarly sensitive and the Ba/F3‐S768I cell line was less sensitive to osimertinib, compared with the Ba/F3‐L858R cell line. The results of western blot analyses were consistent with these sensitivities. Next, similar experiments were also performed using the KYSE270 (L861Q) and KYSE 450 (S768I) cell lines, and their results were compatible with those of the transfectant Ba/F3 cell lines. Our findings suggest that NSCLC harboring the EGFR L861Q mutation might be sensitive to afatinib or osimertinib and that NSCLC harboring the EGFR S768I mutation might be sensitive to afatinib. Overall, afatinib might be the optimal EGFR‐TKI against these uncommon EGFR mutations.

The advances in understanding the inherited biological mechanisms of non-small cell lung cancer harbouring epidermal growth factor receptor (EGFR) mutations led to a significant improvement in the outcomes of patients treated with EGFR tyrosine kinase inhibitors. Despite these clinically impressive results, clinical results are not always uniform, suggesting the need for deepening the molecular heterogeneity of this molecularly defined subgroup of patients beyond the clinical and biological surface.The availability of tissue and blood-based tumour genotyping allows us to improve the understanding of molecular and genetic intratumor heterogeneity, driving the measurement of clonal evaluation in patients with lung cancer carrying EGFR mutations. Genetic diversification, clonal expansion and selection are highly variable patterns of genetic diversity, resulting in different biological entities, also a prerequisite for Darwinian selection and therapeutic failure.Such emerging pieces of evidence on the genetic diversity, including adaptive and immunomodulated aspects, provide further evidence for the role of the tumour microenvironment (TME) in drug-resistance and immune-mediated mechanisms. Matching in daily clinical practice, the detailed genomic profile of lung cancer disease and tracking the clonal evolution could be the way to individualise the further target treatments in EGFR-positive disease. Characterising the tumour and immune microenvironment during the time of the cancer evaluation could be the way forward for the qualitative leap needed from bench to bedside. Such a daring approach, aiming at personalising treatment selection in order to exploit the TME properties and weaken tumour adaptivity, should be integrated into clinical trial design to optimise patient outcome.