Jordi Remon

Common EGFR-mutated subgroups (Del19/L858R) in advanced non-small-cell lung cancer: chasing better outcomes with tyrosine kinase inhibitors.

Ten years ago, somatic mutations in EGFR were identified in patients with non-small-cell lung cancer. Demonstration of the antitumor efficacy of EGF receptor-directed tyrosine kinase inhibitors resulted in their approval for the treatment of advanced non-small-cell lung cancer. Insights into the role of EGFR-sensitizing mutations and acquired and de novo T790M resistance mutations followed, and differences in progression-free survival for patients with EGFR Del19- and L858R-mutated tumors treated with reversible first-generation EGF receptor tyrosine kinase inhibitors were reported. Recently, overall survival benefit in patients with Del19- but not L858R-mutated tumors has been demonstrated after treatment with afatinib, an irreversible ErbB family blocker. Although the biology underlying this difference in survival is currently unclear, this review examines several hypotheses.

Crizotinib-Resistant ROS1 Mutations Reveal a Predictive Kinase Inhibitor Sensitivity Model for ROS1- and ALK-Rearranged Lung Cancers

Background: The identification of molecular mechanisms conferring resistance to tyrosine kinase inhibitor (TKI) is a key step to improve therapeutic results for patients with oncogene addiction. Several alterations leading to EGFR and anaplastic lymphoma kinase (ALK) resistance to TKI therapy have been described in non–small cell lung cancer (NSCLC). Only two mutations in the ROS1 kinase domain responsible for crizotinib resistance have been described in patients thus far. Methods: A patient suffering from a metastatic NSCLC harboring an ezrin (EZR)–ROS1 fusion gene developed acquired resistance to the ALK/ROS1 inhibitor crizotinib. Molecular analysis (whole-exome sequencing, CGH) and functional studies were undertaken to elucidate the mechanism of resistance. Based on this case, we took advantage of the structural homology of ROS1 and ALK to build a predictive model for drug sensitivity regarding future ROS1 mutations. Results: Sequencing revealed a dual mutation, S1986Y and S1986F, in the ROS1 kinase domain. Functional in vitro studies demonstrated that ROS1 harboring either the S1986Y or the S1986F mutation, while conferring resistance to crizotinib and ceritinib, was inhibited by lorlatinib (PF-06463922). The patients clinical response confirmed the potency of lorlatinib against S1986Y/F mutations. The ROS1 S1986Y/F and ALK C1156Y mutations are homologous and displayed similar sensitivity patterns to ALK/ROS1 TKIs. We extended this analogy to build a model predicting TKI efficacy against potential ROS1 mutations. Conclusions: Clinical evidence, in vitro validation, and homology-based prediction provide guidance for treatment decision making for patients with ROS1-rearranged NSCLC who progressed on crizotinib. Clin Cancer Res; 22(24); 5983–91. ©2016 AACR.

Tumor heterogeneity: evolution through space and time in EGFR mutant non small cell lung cancer patients

NSCLC patients with mutations in epidermal growth factor receptor (EGFR) gene have dramatic responses with the EGFR tyrosine kinase inhibitors (TKI) in the majority of patients. However, all patients will eventually present progression of disease because of both primary and acquired resistance to EGFR TKI. In the recent years several studies have identified mechanisms involved in primary and secondary resistance to EGFR TKI treatment that can also be potential therapeutic strategies, although up to 30% of cases of acquired resistance to EGFR TKI are still unexplained. In this review we describe the mechanisms of resistance to EGFR TKIs in NSCLC patients that have been discovered and potential therapeutic strategies to overcome EGFR TKI resistance. Additionally we highlight the importance of performing additional biopsies not only at time of acquired resistance to EGFR TKI but also immediately after initiation of therapy to discover the remaining unknown mechanisms of acquired resistance to EGFR TKI as well as the underlying molecular basis of the heterogeneity in response to EGFR TKI.

The APPLE Trial: Feasibility and Activity of AZD9291 (Osimertinib) Treatment on Positive PLasma T790M in EGFR-mutant NSCLC Patients. EORTC 1613

The AZD9291 (Osimertinib) Treatment on Positive PLasma T790M in EGFR-mutant NSCLC Patients (APPLE) trial is a randomized, open-label, multicenter, 3-arm, phase II study in advanced, epidermal growth factor receptor (EGFR)-mutant and EGFR tyrosine kinase inhibitor (TKI)-naive non-small-cell lung cancer (NSCLC) patients, to evaluate the best strategy for sequencing gefitinib and osimertinib treatment. Advanced EGFR-mutant NSCLC patients, with World Health Organization performance status 0-2 who are EGFR TKI treatment-naive and eligible to receive first-line treatment with EGFR TKI will be randomized to: In all arms, a plasmatic ctDNA T790M test will be performed by a central laboratory at the Medical University of Gdansk (Poland) but will be applied as a predictive marker for making treatment decisions only in arm B. The primary objective is to evaluate the best strategy for sequencing of treatment with gefitinib and osimertinib in advanced NSCLC patients with common EGFR mutations, and to understand the value of liquid biopsy for the decision-making process. The progression-free survival rate at 18 months is the primary end point of the trial. The activity of osimertinib versus gefitinib to prevent brain metastases will be evaluated.

Predictive biomarkers for programmed death-1/programmed death ligand immune checkpoint inhibitors in nonsmall cell lung cancer.

Purpose of review Immune checkpoint inhibitors, antiprogrammed death receptor 1 (anti-PD-1)/antiprogrammed death-ligand 1 (anti-PD-L1), are new therapeutic regimens for managing advanced nonsmall cell lung cancer patients, giving an overall response rate of approximately 20% as monotherapy in second-line treatment. The use of predictive biomarkers for identifying patients suitable for these therapies is an important issue not only for making treatment decisions, but also from a medical economic point of view. Recent findings Among potential predictive biomarker candidates for anti-PD-1/PD-L1 treatments in nonsmall cell lung cancer, the expression of PD-L1 (as determined by immunohistochemistry) is currently the most studied. PD-L1 positivity has been associated with higher response rate to anti-PD-1/PD-L1 therapies. However, several observations suggest that the predictive value of PD-L1 expression is not clear-cut. We review other potential predictive biomarkers, including programmed death-ligand 2, IFN-&ggr;, and genetic signatures. Summary Standardized techniques and conditions for evaluating PD-L1 expression (tissue quality and age, percentage positivity threshold, managing heterogeneous and dynamic expression) are critical for establishing the use of this protein as a predictive marker. Care should be also taken when using anti-PD-1/PD-L1 therapies in combination with other therapies, which may impact the predictive value of PD-L1 expression.

Association of the Lung Immune Prognostic Index With Immune Checkpoint Inhibitor Outcomes in Patients With Advanced Non–Small Cell Lung Cancer

Importance Derived neutrophils/(leukocytes minus neutrophils) ratio (dNLR) and lactate dehydrogenase (LDH) level have been correlated with immune checkpoint inhibitor (ICI) outcomes in patients with melanoma. Objective To determine whether pretreatment dNLR and LDH are associated with resistance to ICIs in patients with advanced non–small cell lung cancer (NSCLC). Design, Setting, and Participants Multicenter retrospective study with a test (n = 161) and a validation set (n = 305) treated with programmed death 1/programmed death ligand 1 (PD-1/PD-L1) inhibitors in 8 European centers, and a control cohort (n = 162) treated with chemotherapy only. Complete blood cell counts, LDH, and albumin levels were measured before ICI treatment. A lung immune prognostic index (LIPI) based on dNLR greater than 3 and LDH greater than upper limit of normal (ULN) was developed, characterizing 3 groups (good, 0 factors; intermediate, 1 factor; poor, 2 factors). Main Outcomes and Measures The primary end point was overall survival (OS). Secondary end points were progression-free survival (PFS) and disease control rate (DCR). Results In the pooled ICI cohort (N = 466), 301 patients (65%) were male, 422 (90%) were current or former smokers, and 401 (87%) had performance status of 1 or less; median age at diagnosis was 62 (range, 29-86) years; 270 (58%) had adenocarcinoma and 159 (34%) had squamous histologic subtype. Among 129 patients with PD-L1 data, 96 (74%) had PD-L1 of at least 1% by immunohistochemical analysis, and 33 (26%) had negative results. In the test cohort, median PFS and OS were 3 (95% CI, 2-4) and 10 (95% CI, 8-13) months, respectively. A dNLR greater than 3 and LDH greater than ULN were independently associated with OS (hazard ratio [HR] 2.22; 95% CI, 1.23-4.01 and HR, 2.51; 95% CI, 1.32-4.76, respectively). Median OS for poor, intermediate, and good LIPI was 3 months (95% CI, 1 month to not reached [NR]), 10 months (95% CI, 8 months to NR), and 34 months (95% CI, 17 months to NR), respectively, and median PFS was 2.0 (95% CI, 1.7-4.0), 3.7 (95% CI, 3.0-4.8), and 6.3 (95% CI, 5.0-8.0) months (both P < .001). Disease control rate was also correlated with dNLR greater than 3 and LDH greater than ULN. Results were reproducible in the ICI validation cohort for OS, PFS, and DCR, but were nonsignificant in the chemotherapy cohort. Conclusions and Relevance Pretreatment LIPI, combining dNLR greater than 3 and LDH greater than ULN, was correlated with worse outcomes for ICI, but not for chemotherapy, suggesting that LIPI can serve as a potentially useful tool when selecting ICI treatment, raising the hypothesis that the LIPI might be useful for identifying patients unlikely to benefit from treatment with an ICI.

Circulating Tumor Cells with Aberrant ALK Copy Number Predict Progression-Free Survival during Crizotinib Treatment in ALK-Rearranged Non–Small Cell Lung Cancer Patients

The duration and magnitude of clinical response are unpredictable in ALK-rearranged non-small cell lung cancer (NSCLC) patients treated with crizotinib, although all patients invariably develop resistance. Here, we evaluated whether circulating tumor cells (CTC) with aberrant ALK-FISH patterns [ALK-rearrangement, ALK-copy number gain (ALK-CNG)] monitored on crizotinib could predict progression-free survival (PFS) in a cohort of ALK-rearranged patients. Thirty-nine ALK-rearranged NSCLC patients treated with crizotinib as first ALK inhibitor were recruited prospectively. Blood samples were collected at baseline and at an early time-point (2 months) on crizotinib. Aberrant ALK-FISH patterns were examined in CTCs using immunofluorescence staining combined with filter-adapted FISH after filtration enrichment. CTCs were classified into distinct subsets according to the presence of ALK-rearrangement and/or ALK-CNG signals. No significant association between baseline numbers of ALK-rearranged or ALK-CNG CTCs and PFS was observed. However, we observed a significant association between the decrease in CTC number with ALK-CNG on crizotinib and a longer PFS (likelihood ratio test, P = 0.025). In multivariate analysis, the dynamic change of CTC with ALK-CNG was the strongest factor associated with PFS (HR, 4.485; 95% confidence interval, 1.543-13.030, P = 0.006). Although not dominant, ALK-CNG has been reported to be one of the mechanisms of acquired resistance to crizotinib in tumor biopsies. Our results suggest that the dynamic change in the numbers of CTCs with ALK-CNG may be a predictive biomarker for crizotinib efficacy in ALK-rearranged NSCLC patients. Serial molecular analysis of CTC shows promise for real-time patient monitoring and clinical outcome prediction in this population. Cancer Res; 77(9); 2222-30. ©2017 AACR.

Successes and failures: what did we learn from recent first-line treatment immunotherapy trials in non-small cell lung cancer?

Immune checkpoint inhibitors have significantly modified the therapeutic landscape of advanced non-small cell lung cancer in second-line settings, with a more recent advancement in first-line settings. Given the superior outcome with pembrolizumab as an upfront strategy, PD-L1 status should now be considered a new reflex biomarker to guide first-line treatment in patients with advanced non-small cell lung cancer. Improved responses have also been reported with the combination of immune checkpoint inhibitors and chemotherapy as the first-line treatment; however, this strategy has not yet been validated by phase III trial data and its interplay with PD-L1 status still requires clarification.Herein, we review the contradictory results of recent phase III trials with immune checkpoint inhibitors in the first-line setting, the potential reasons for such discrepancies, and some of the remaining points of discussion related to the positioning of immune checkpoint inhibitors in the first-line therapy of non-small cell lung cancer.

Sunitinib in patients with advanced thymic malignancies: Cohort from the French RYTHMIC network

BACKGROUND Sunitinib is a potent oral tyrosine kinase inhibitor of VEGFRs, KIT, and PDGFRs. In a single arm phase II trial, sunitinib has demonstrated its potential activity in refractory thymic carcinoma (TC) and thymoma (T). Taking advantage of the French RYTHMIC network prospective database, we investigated the off-label efficacy of sunitinib in previously-treated thymic epithelial tumors (TETs) patients not included in a clinical trial. METHODS RYTHMIC database started in 2012, and prospectively collects clinical, imaging, treatment, and follow-up data of all patients diagnosed with TET, for whom management is discussed at a national multidisciplinary tumor board. All patients who received sunitinib were selected for this analysis. RESULTS 28 patients from 7 institutions were identified, including 20 TC and 8T; 32% of patients were females, and median age was 50 years. Fifteen patients (54%) received sunitinib as ≥4th line treatment. The initial daily dose of sunitinib was 50mg in 11 patients, 37.5mg in 16 patients and 25mg in 1 patient. Sunitinib adverse events were all manageable and tolerable; 8 patients had to stop sunitinib due to toxicity after a median duration of treatment of 2.7 months. In the overall population, disease control rate was of 63% (86% for T, and 55% for TC); overall response rate was 22% (29% for T, and 20% for TC). Median PFS in the whole population was 3.7 months (5.4 months for T, and 3.3 months for TC, p=0.097). The median overall survival in the whole population was 15.4 months: survival was not reached for T, and was 12.3 months for TC patients (p=0.043). CONCLUSION Sunitinib is an active treatment in TETs irrespective of histological subtype, supporting the use of tyrosine kinase inhibitors with anti-angiogenic activity as alternative treatment options in refractory disease.

Immune-checkpoint inhibition in first-line treatment of advanced non-small cell lung cancer patients: Current status and future approaches

Immune checkpoint inhibitors are considered standard second-line treatment in advanced non-small cell lung cancer patients. This strategy has also become standard in first-line setting for a subgroup of patients with strongly positive PD-L1 tumors; therefore, PD-L1 status might be considered a new biomarker that deserves upfront testing. New combinations of immune checkpoint inhibitors and with chemotherapy have been tested in first-line treatment. However, some questions remain unanswered such as the best treatment strategy or the real upfront efficacy of these therapeutic strategies in the whole lung cancer population. In this review we summarize the main results in the first-line setting of recent phase III trials with immune checkpoint inhibitors in advanced non-small cell lung cancer patients.