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INTRODUCTION: MET tyrosine kinase inhibitor (TKI) therapy is associated with improved outcomes in patients with nonsmall cell lung cancer (NSCLC) harboring a MET alteration, including MET exon 14 (METex14) skipping mutation, MET amplification, or MET fusion. However, primary or acquired resistance to TKI therapy ultimately develops. In preclinical models, hyperactivation of MAPK signaling was shown to promote resistance to MET TKI; resistance was overcome by co-treatment with a MET inhibitor and a MEK inhibitor. This phase I/Ib study offers a potential combination strategy simultaneously targeting MET (with capmatinib) and MEK signaling (with trametinib) to overcome resistance to MET inhibitor monotherapy in METex14 NSCLC. METHODS: In the dose escalation phase, a minimum of 6 and maximum of 18 patients will be enrolled using a conventional 3+3 design with the primary endpoint of identifying a recommended phase 2 dose (RP2D) of capmatinib in combination with trametinib. Once the RP2D is identified, patients will continue to enroll in a dose expansion phase to a total of 15 patients. The primary endpoint of the dose expansion phase is to further characterize the safety profile of the combination. CONCLUSION: This phase I/Ib clinical trial will assess the safety and efficacy of combination capmatinib and trametinib in NSCLC patients whose tumors harbor METex14 skipping mutations, MET amplification, or MET fusion and had developed progressive disease on single agent MET inhibitor therapy.
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PURPOSE: To assess the safety and efficacy of the third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor osimertinib as neoadjuvant therapy in patients with surgically resectable stage I-IIIA EGFR-mutated non-small cell lung cancer (NSCLC). PATIENTS AND METHODS: This was a multi-institutional phase II trial of neoadjuvant osimertinib for patients with surgically resectable stage I-IIIA (American Joint Committee on Cancer [AJCC] V7) EGFR-mutated (L858R or exon 19 deletion) NSCLC (ClinicalTrials.gov identifier: NCT03433469). Patients received osimertinib 80 mg orally once daily for up to two 28-day cycles before surgical resection. The primary end point was major pathological response (MPR) rate. Secondary safety and efficacy end points were also assessed. Exploratory end points included pretreatment and post-treatment tumor mutation profiling. RESULTS: A total of 27 patients were enrolled and treated with neoadjuvant osimertinib for a median 56 days before surgical resection. Twenty-four (89%) patients underwent subsequent surgery; three (11%) patients were converted to definitive chemoradiotherapy. The MPR rate was 14.8% (95% CI, 4.2 to 33.7). No pathological complete responses were observed. The ORR was 52%, and the median DFS was 40.9 months. One treatment-related serious adverse event (AE) occurred (3.7%). No patients were unable to undergo surgical resection or had surgery delayed because of an AE. The most common co-occurring tumor genomic alterations were in TP53 (42%) and RBM10 (21%). CONCLUSION: Treatment with neoadjuvant osimertinib in surgically resectable (stage IA-IIIA, AJCC V7) EGFR-mutated NSCLC did not meet its primary end point for MPR rate. However, neoadjuvant osimertinib did not lead to unanticipated AEs, surgical delays, nor result in a significant unresectability rate.
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The phenomenon of mixed/heterogenous treatment responses to cancer therapies within an individual patient presents a challenging clinical scenario. Furthermore, the molecular basis of mixed intra-patient tumor responses remains unclear. Here, we show that patients with metastatic lung adenocarcinoma harbouring co-mutations of EGFR and TP53, are more likely to have mixed intra-patient tumor responses to EGFR tyrosine kinase inhibition (TKI), compared to those with an EGFR mutation alone. The combined presence of whole genome doubling (WGD) and TP53 co-mutations leads to increased genome instability and genomic copy number aberrations in genes implicated in EGFR TKI resistance. Using mouse models and an in vitro isogenic p53-mutant model system, we provide evidence that WGD provides diverse routes to drug resistance by increasing the probability of acquiring copy-number gains or losses relative to non-WGD cells. These data provide a molecular basis for mixed tumor responses to targeted therapy, within an individual patient, with implications for therapeutic strategies.
Subject(s)
Chromosomal Instability , ErbB Receptors , Lung Neoplasms , Mutation , Tumor Suppressor Protein p53 , Humans , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism , Animals , Mice , Lung Neoplasms/genetics , Lung Neoplasms/drug therapy , Lung Neoplasms/pathology , ErbB Receptors/genetics , ErbB Receptors/metabolism , ErbB Receptors/antagonists & inhibitors , Drug Resistance, Neoplasm/genetics , Cell Line, Tumor , Protein Kinase Inhibitors/pharmacology , Protein Kinase Inhibitors/therapeutic use , Adenocarcinoma of Lung/genetics , Adenocarcinoma of Lung/drug therapy , Adenocarcinoma of Lung/pathology , Molecular Targeted Therapy/methods , Female , DNA Copy Number Variations , MaleABSTRACT
Targeted therapy is effective in many tumor types including lung cancer, the leading cause of cancer mortality. Paradigm defining examples are targeted therapies directed against non-small cell lung cancer (NSCLC) subtypes with oncogenic alterations in EGFR, ALK and KRAS. The success of targeted therapy is limited by drug-tolerant persister cells (DTPs) which withstand and adapt to treatment and comprise the residual disease state that is typical during treatment with clinical targeted therapies. Here, we integrate studies in patient-derived and immunocompetent lung cancer models and clinical specimens obtained from patients on targeted therapy to uncover a focal adhesion kinase (FAK)-YAP signaling axis that promotes residual disease during oncogenic EGFR-, ALK-, and KRAS-targeted therapies. FAK-YAP signaling inhibition combined with the primary targeted therapy suppressed residual drug-tolerant cells and enhanced tumor responses. This study unveils a FAK-YAP signaling module that promotes residual disease in lung cancer and mechanism-based therapeutic strategies to improve tumor response.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Drug Resistance, Neoplasm , Lung Neoplasms , Signal Transduction , Transcription Factors , YAP-Signaling Proteins , Humans , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Lung Neoplasms/metabolism , Signal Transduction/drug effects , Transcription Factors/metabolism , Transcription Factors/genetics , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/metabolism , Carcinoma, Non-Small-Cell Lung/pathology , YAP-Signaling Proteins/metabolism , Cell Line, Tumor , Animals , Drug Resistance, Neoplasm/genetics , Adaptor Proteins, Signal Transducing/metabolism , Adaptor Proteins, Signal Transducing/genetics , Neoplasm, Residual , Mice , Focal Adhesion Kinase 1/metabolism , Focal Adhesion Kinase 1/genetics , ErbB Receptors/metabolism , ErbB Receptors/genetics , Anaplastic Lymphoma Kinase/metabolism , Anaplastic Lymphoma Kinase/genetics , Anaplastic Lymphoma Kinase/antagonists & inhibitors , Proto-Oncogene Proteins p21(ras)/genetics , Proto-Oncogene Proteins p21(ras)/metabolism , Focal Adhesion Protein-Tyrosine Kinases/metabolism , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/pharmacology , Xenograft Model Antitumor AssaysABSTRACT
Cerebrospinal fluid tumor-derived DNA (CSF-tDNA) analysis is a promising approach for monitoring the neoplastic processes of the central nervous system. We applied a lung cancer-specific sequencing panel (CAPP-Seq) to 81 CSF, blood, and tissue samples from 24 lung cancer patients who underwent lumbar puncture (LP) for suspected leptomeningeal disease (LMD). A subset of the cohort (N = 12) participated in a prospective trial of osimertinib for refractory LMD in which serial LPs were performed before and during treatment. CSF-tDNA variant allele fractions (VAFs) were significantly higher than plasma circulating tumor DNA (ctDNA) VAFs (median CSF-tDNA, 32.7%; median plasma ctDNA, 1.8%; P < 0.0001). Concentrations of tumor DNA in CSF and plasma were positively correlated (Spearman's ρ, 0.45; P = 0.03). For LMD diagnosis, cytology was 81.8% sensitive and CSF-tDNA was 91.7% sensitive. CSF-tDNA was also strongly prognostic for overall survival (HR = 7.1; P = 0.02). Among patients with progression on targeted therapy, resistance mutations, such as EGFR T790M and MET amplification, were common in peripheral blood but were rare in time-matched CSF, indicating differences in resistance mechanisms based on the anatomic compartment. In the osimertinib cohort, patients with CNS progression had increased CSF-tDNA VAFs at follow-up LP. Post-osimertinib CSF-tDNA VAF was strongly prognostic for CNS progression (HR = 6.2, P = 0.009). Detection of CSF-tDNA in lung cancer patients with suspected LMD is feasible and may have clinical utility. CSF-tDNA improves the sensitivity of LMD diagnosis, enables improved prognostication, and drives therapeutic strategies that account for spatial heterogeneity in resistance mechanisms.
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SUMMARY: Beyond lipid membrane compartments, cells including cancer cells utilize various membraneless compartments, often termed biomolecular condensates, to regulate or organize key cellular processes underlying physiologic or pathologic phenotypes. In this commentary, the emergence of biomolecular condensation in cancer biology is highlighted, with a focus on key unanswered questions and with implications for improving the understanding of cancer pathogenesis and developing innovative cancer management strategies.
Subject(s)
Neoplasms , Humans , Neoplasms/therapy , PhenotypeABSTRACT
Tailoring optimal treatment for individual cancer patients remains a significant challenge. To address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression-Based Planning for Treatments In ONcology), a precision oncology computational pipeline. Our approach uses publicly available matched bulk and single-cell (sc) expression profiles from large-scale cell-line drug screens. These profiles help build treatment response models based on patients' sc-tumor transcriptomics. PERCEPTION demonstrates success in predicting responses to targeted therapies in cultured and patient-tumor-derived primary cells, as well as in two clinical trials for multiple myeloma and breast cancer. It also captures the resistance development in patients with lung cancer treated with tyrosine kinase inhibitors. PERCEPTION outperforms published state-of-the-art sc-based and bulk-based predictors in all clinical cohorts. PERCEPTION is accessible at https://github.com/ruppinlab/PERCEPTION . Our work, showcasing patient stratification using sc-expression profiles of their tumors, will encourage the adoption of sc-omics profiling in clinical settings, enhancing precision oncology tools based on sc-omics.