Overall survival and central nervous system activity of crizotinib in ROS1-rearranged lung cancer-final results of the EUCROSS trial

BACKGROUND

In 2019, we reported the first efficacy and safety analysis of EUCROSS, a phase II trial investigating crizotinib in ROS1 fusion-positive lung cancer. At that time, overall survival (OS) was immature and the effect of crizotinib on intracranial disease control remained unclear. Here, we present the final analysis of OS, systemic and intracranial activity, and the impact of co-occurring aberrations.

MATERIALS AND METHODS

EUCROSS was a prospective, single-arm, phase II trial. The primary endpoint was best overall response rate (ORR) using RECIST 1.1. Secondary and exploratory endpoints were progression-free survival (PFS), OS, and efficacy in pre-defined subgroups.

RESULTS

Median OS of the intention-to-treat population (N = 34) was 54.8 months [95% confidence interval (CI) 20.3 months-not reached (NR); median follow-up 81.4 months] and median all-cause PFS of the response-evaluable population (N = 30) was 19.4 months (95% CI 10.1-32.2 months). Time on treatment was significantly correlated with OS (R = 0.82; P < 0.0001). Patients with co-occurring TP53 aberrations (28%) had a significantly shorter OS [hazard ratio (HR) 11; 95% CI 2.0-56.0; P = 0.006] and all-cause PFS (HR 4.2; 95% CI 1.2-15; P = 0.025). Patients with central nervous system (CNS) involvement at baseline (N = 6; 20%) had a numerically shorter median OS and all-cause PFS. Median intracranial PFS was 32.2 months (95% CI 23.7 months-NR) and the rate of isolated CNS progression was 24%.

CONCLUSIONS

Our final analysis proves the efficacy of crizotinib in ROS1-positive lung cancer, but also highlights the devastating impact of TP53 mutations on survival and treatment efficacy. Additionally, our data show that CNS disease control is durable and the risk of CNS progression while on crizotinib treatment is low.

MET Fusions in NSCLC: Clinicopathologic Features and Response to MET Inhibition

INTRODUCTION

MET fusions have been described only rarely in NSCLC. Thus, data on patient characteristics and treatment response are limited. We here report histopathologic data, patient demographics, and treatment outcome including response to MET tyrosine kinase inhibitor (TKI) therapy in MET fusion-positive NSCLC.

METHODS

Patients with NSCLC and MET fusions were identified mostly by RNA sequencing within the routine molecular screening program of the national Network Genomic Medicine, Germany.

RESULTS

We describe a cohort of nine patients harboring MET fusions. Among these nine patients, two patients had been reported earlier. The overall frequency was 0.29% (95% confidence interval: 0.15-0.55). The tumors were exclusively adenocarcinoma. The cohort was heterogeneous in terms of age, sex, or smoking status. We saw five different fusion partner genes (KIF5B, TRIM4, ST7, PRKAR2B, and CAPZA2) and several different breakpoints. Four patients were treated with a MET TKI leading to two partial responses, one stable disease, and one progressive disease. One patient had a BRAF V600E mutation as acquired resistance mechanism.

CONCLUSIONS

MET fusions are very rare oncogenic driver events in NSCLC and predominantly seem in adenocarcinomas. They are heterogeneous in terms of fusion partners and breakpoints. Patients with MET fusion can benefit from MET TKI therapy.

Effects of Whole-Body Vibration and Manually Assisted Locomotor Therapy on Neurotrophin-3 Expression and Microglia/Macrophage Mobilization Following Thoracic Spinal Cord Injury in Rats

Microglial cells play an important role in neuroinflammation and secondary damages after spinal cord injury (SCI). Progressive microglia/macrophage inflammation along the entire spinal axis follows SCI, and various factors may determine the microglial activation profile. Neurotrophin-3 (NT-3) is known to control the survival of neurons, the function of synapses, and the release of neurotransmitters, while also stimulating axon plasticity and growth. We examined the effects of whole-body vibration (WBV) and forms of assisted locomotor therapy, such as passive flexion-extension (PFE) therapy, at the neuronal level after SCI, with a focus on changes in NT-3 expression and on microglia/macrophage reaction, as they play a major role in the reconstitution of CNS integrity after injury and they may critically account for the observed structural and functional benefits of physical therapy. More specifically, the WBV therapy resulted in the best overall functional recovery when initiated at day 14, while inducing a decrease in Iba1 and the highest increase in NT-3. Therefore, the WBV therapy at the 14th day appeared to be superior to the PFE therapy in terms of recovery. Functional deficits and subsequent rehabilitation depend heavily upon the inflammatory processes occurring caudally to the injury site; thus, we propose that increased expression of NT-3, especially in the dorsal horn, could potentially be the mediator of this favorable outcome.

Resistance to MET inhibition in MET-dependent NSCLC and therapeutic activity after switching from type I to type II MET inhibitors

OBJECTIVES

Resistance to MET inhibition occurs inevitably in MET-dependent non-small cell lung cancer and the underlying mechanisms are insufficiently understood. We describe resistance mechanisms in patients with MET exon 14 skipping mutation (METΔ^ex14), MET amplification, and MET fusion and report treatment outcomes after switching therapy from type I to type II MET inhibitors.

MATERIALS AND METHODS

Pre- and post-treatment biopsies were analysed by NGS (next generation sequencing), digital droplet PCR (polymerase chain reaction), and FISH (fluorescense in situ hybridization). A patient-derived xenograft model was generated in one case.

RESULTS

Of 26 patients with MET tyrosine kinase inhibitor treatment, eight had paired pre- and post-treatment biopsies (Three with MET amplification, three with METΔ^ex14, two with MET fusions (KIF5B-MET and PRKAR2B-MET).) In six patients, mechanisms of resistance were detected, whereas in two cases, the cause of resistance remained unclear. We found off-target resistance mechanisms in four cases with KRAS mutations and HER2 amplifications appearing. Two patients exhibited second-site MET mutations (p.D1246N and p. Y1248H). Three patients received type I and type II MET tyrosine kinase inhibitors sequentially. In two cases, further progressive disease was seen hereafter. The patient with KIF5B-MET fusion received three different MET inhibitors and showed long-lasting stable disease and a repeated response after switching therapy, respectively.

CONCLUSION

Resistance to MET inhibition is heterogeneous with on- and off-target mechanisms occurring regardless of the initial MET aberration. Switching therapy between different types of kinase inhibitors can lead to repeated responses in cases with second-site mutations. Controlled clinical trials in this setting with larger patient numbers are needed, as evidence to date is limited to preclinical data and case series.

Metastatic patterns plus clinical and molecular characteristics of ROS1 aberrations in non-small cell lung cancer patients without rearrangements

e21117

Background: Fusions in the ROS1 proto-oncogene are among the best treatable genetic aberrations in Non-small cell lung cancer (NSCLC). Besides the occurrence of solvent-front mutations (SFM) in acquired resistance to targeted therapy, little is known about ROS1 aberrations other than fusions. We analyzed molecular and clinical characteristics and metastatic patterns of ROS1 mutations in NSCLC patients without activating ROS1 fusions or SFMs. Methods: Next-generation sequencing (NGS) was performed on tissue samples from NSCLC patients within the National Network Genomic Medicine (nNGM). Patients with activating ROS1 fusions detected by fluorescence in-situ hybridization (FISH) were excluded. Staging and restaging procedures were performed following local standards from each partner. We analyzed the mutations’ characteristics, co-occurring mutations and metastatic patterns. Results: Of 8072 patients analyzed by NGS between 2018 and 2021, 118 (1.5%) patients harbored ROS1 mutations. Most patients were male (76.3%) and had adenocarcinoma histology (57.6%). The median age at diagnosis amounted to 68 years. Nearly all of the patients (96.5%) had a smoking history, amassing 40 pack-years on average. Besides TP53 mutations (61.0%), KRAS (25.4%), EGFR (7.6%), PIK3CA and FGFR1-4 mutations (5.9% each) co-occurred most frequently. In 12 (10.2%) patients, ROS1 mutation was the only detected aberration. The majority (59.3%) of patients had UICC stage IV whereby 27.2% of patients featured Stage III; about 7% fall upon stage I and II. The metastatic pattern of all stage IV patients shows that 22.9% of metastasis is allotted to cerebral, 12.5% to lung, 16.7% to subdiaphragmatic, 14.9% to bone and 6.3% to skin metastasis. Thereby, the patients’ subgroup with mutually exclusive ROS1 mutations (10.2%) resembles this trend: about a half of these patients had UICC stage IV, too, and the metastasis distribution featured similar characteristics. Conclusions: The cohort contrasts the clinical characteristics of patients with ROS1 fusion regarding sex, age, and histology. This evidence implies a basic clinical impact exerted by this molecular subtype. We warrant further research on the detected mutations to characterize the biological impact and the potential to act as a drug target.

Real-world efficacy of docetaxel plus nintedanib after chemo-immunotherapy failure in advanced pulmonary adenocarcinoma

Aim: This real-world analysis evaluated docetaxel plus nintedanib in patients with advanced pulmonary adenocarcinoma after chemotherapy and immune checkpoint inhibitor failure, for whom treatment options are limited. Methods: Data were sourced retrospectively from seven German centers. Results: Of 93 patients, overall response rate was 41.4% (disease control rate: 75.9%). Of 57 patients given third-line docetaxel plus nintedanib, overall response rate was 50.0% (disease control rate: 82.7%). Median overall survival following third-line docetaxel plus nintedanib was 8.4 months. Adverse events were consistent with the known safety profile of docetaxel plus nintedanib. Conclusion: To date, this was the largest retrospective, real-world analysis of docetaxel plus nintedanib after chemotherapy-immunotherapy failure, indicating that docetaxel plus nintedanib offers meaningful clinical benefits in this setting.

Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning

BACKGROUND

Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brain and up to 50% of patients develop brain metastases (BMs). Detection of BMs on MRI is challenging with an inherent risk of missed diagnosis.

PURPOSE

To train and evaluate a deep learning model (DLM) for fully automated detection and 3D segmentation of BMs in NSCLC on clinical routine MRI.

STUDY TYPE

Retrospective.

POPULATION

Ninety-eight NSCLC patients with 315 BMs on pretreatment MRI, divided into training (66 patients, 248 BMs) and independent test (17 patients, 67 BMs) and control (15 patients, 0 BMs) cohorts.

FIELD STRENGTH/SEQUENCE

T₁ -/T₂ -weighted, T₁ -weighted contrast-enhanced (T₁ CE; gradient-echo and spin-echo sequences), and FLAIR at 1.0, 1.5, and 3.0 T from various vendors and study centers.

ASSESSMENT

A 3D convolutional neural network (DeepMedic) was trained on the training cohort using 5-fold cross-validation and evaluated on the independent test and control sets. Three-dimensional voxel-wise manual segmentations of BMs by a neurosurgeon and a radiologist on T₁ CE served as the reference standard.

STATISTICAL TESTS

Sensitivity (recall) and false positive (FP) findings per scan, dice similarity coefficient (DSC) to compare the spatial overlap between manual and automated segmentations, Pearson's correlation coefficient (r) to evaluate the relationship between quantitative volumetric measurements of segmentations, and Wilcoxon rank-sum test to compare the volumes of BMs. A P value <0.05 was considered statistically significant.

RESULTS

In the test set, the DLM detected 57 of the 67 BMs (mean volume: 0.99 ± 4.24 cm³ ), resulting in a sensitivity of 85.1%, while FP findings of 1.5 per scan were observed. Missed BMs had a significantly smaller volume (0.05 ± 0.04 cm³ ) than detected BMs (0.96 ± 2.4 cm³ ). Compared with the reference standard, automated segmentations achieved a median DSC of 0.72 and a good volumetric correlation (r = 0.95). In the control set, 1.8 FPs/scan were observed.

DATA CONCLUSION

Deep learning provided a high detection sensitivity and good segmentation performance for BMs in NSCLC on heterogeneous scanner data while yielding a low number of FP findings. Level of Evidence 3 Technical Efficacy Stage 2.

KEAP1 mutations in squamous cell lung cancer

e21098

Background: KEAP1 mutations have been shown to decrease the efficacy of both chemotherapy (CTX) and immune-checkpoint inhibition (ICI) in lung adenocarcinoma. However, few is known about their impact on systemic treatment of squamous cell lung cancer (SqCC). The aim of this study was to assess the impact of KEAP1 mutations on systemic treatment outcome in SqCC. Methods: Tumor biopsies of SqCC patients were analyzed within the German Network Genomic Medicine (NGM) using a next-generation DNA sequencing (NGS) panel comprising 17 genes. In subsets, PD-L1 expression was tested with immunohistochemistry (IHC). MET amplification and FGFR1 amplification was tested with fluorescence in situ hybridization (FISH). Overall survival was estimated using Kaplan Meier statistics. For comparisons, we used log rank. A cohort with KEAP1 wild-type patients from the same panel served as control group. Results: Out of 1399 SqCC patients analyzed, 151 had a KEAP1 mutation (11%). The most common co-occurring mutations besides TP53 were PTEN, KRAS and NFE2L2. The median overall survival (OS) of stage IV KEAP1 mutated patients (n = 82) compared to stage IV control group patients (n = 82) was 7.3 vs. 11.4 months (hazard ratio (HR) 0.87 [95% confidence interval (CI) 0.62-1.23], p = 0.43). The addition of a second treatment line with ICI led to marked OS improvements in both KEAP1 mutant patient group (18.7 vs. 6.6 months, HR 0.11, [95% CI 0.04-0.25], p < 0.0001) and control group (20.3 vs. 5.0 months, HR 0.12 [95% CI 0.06-0.24], p < 0.0001). PD-L1 expression did not differ significantly in both groups. Conclusions: KEAP1 mutations occur commonly in SqCC patients and do not impact the efficacy of ICI in terms of OS. To identify prognostic markers for response to ICI further research is needed.

Ca(2+) sensors of L-type Ca(2+) channel

Ca(2+)-induced inactivation of L-type Ca(2+) is differentially mediated by two C-terminal motifs of the alpha(1C) subunit, L (1572-1587) and K (1599-1651) implicated for calmodulin binding. We found that motif L is composed of a highly selective Ca(2+) sensor and an adjacent Ca(2+)-independent tethering site for calmodulin. The Ca(2+) sensor contributes to higher Ca(2+) sensitivity of the motif L complex with calmodulin. Since only combined mutation of both sites removes Ca(2+)-dependent current decay, the two-site modulation by Ca(2+) and calmodulin may underlie Ca(2+)-induced inactivation of the channel.