Glutamine metabolism and radiosensitivity: Beyond the Warburg effect.

Mounting data suggest that cancer cell metabolism can be utilized therapeutically to halt cell proliferation, metastasis and disease progression. Radiation therapy is a critical component of cancer treatment in curative and palliative settings. The use of metabolism-based therapeutics has become increasingly popular in combination with radiotherapy to overcome radioresistance. Over the past year, a focus on glutamine metabolism in the setting of cancer therapy has emerged. In this mini-review, we discuss several important ways (DNA damage repair, oxidative stress, epigenetic modification and immune modulation) glutamine metabolism drives cancer growth and progression, and present data that inhibition of glutamine utilization can lead to radiosensitization in preclinical models. Future research is needed in the clinical realm to determine whether glutamine antagonism is a feasible synergistic therapy that can be combined with radiotherapy.

Next-generation sequencing informs diagnosis and identifies unexpected therapeutic targets in lung squamous cell carcinomas.

OBJECTIVES: Potentially targetable genomic alterations have been identified in lung squamous cell carcinoma (LUSC), but none have yet translated into effective therapy. We examined potential benefits of next generation sequencing (NGS) in a cohort of consecutive LUSC patients with emphasis on distinctions between smokers and light/never smokers and implications for clinical trial enrollment. METHODS: We retrospectively evaluated results from an internally developed NGS assay (OncoPanel) targeting ∼300 genes with a mean overall target coverage of >200x for consecutive LUSC seen at our institution over 30 months. RESULTS: Tissue was obtained from 172 patients for targeted NGS. 42 (24 %) samples were insufficient for testing. Median age of tested patients was 66, including 87 % moderate/heavy versus 13 % light/never smokers; 66 % were stage IIIB or IV. Of 130 patients with evaluable NGS results, 49 (38 %) had at least 1 alteration qualifying for enrollment to a LungMAP treatment arm (PIK3CA, MET, FGFR family, cell cycle, or homologous recombination pathways) or for an approved therapy or other clinical trial (e.g. EGFR sensitizing mutations, MET exon 14 splice mutations, TSC1/2 mutation, or microsatellite instability). Therapeutic targets were enriched in light/never smokers (47 % vs 35 % moderate/heavy smokers). Unexpectedly, genomic features suggested an alternative diagnosis (metastatic cutaneous squamous carcinoma; mesothelioma) in 7 patients, including 35 % of never/light smokers. CONCLUSION: NGS in a real-world LUSC cohort yields potentially targetable genomic alterations informing clinical trial enrollment and approved therapies and critical diagnostic insights. Our findings strongly support current guidelines recommending mutational profiling of LUSC arising in light/never smoking patients; the utility of sequencing in smokers with LUSC appears to be limited to identification of research targets.

Monitoring of Response and Resistance in Plasma of EGFR-Mutant Lung Cancer Using Droplet Digital PCR.

The identification of oncogenic driver mutations has led to the rapid rise of genotype-directed treatments. However, genetic analysis of tumors remains cumbersome and a morbid experience for patients. Noninvasive assessment of tumor genotype, so-called "liquid biopsy," such as plasma genotyping represents a potentially transformative tool. Here we describe a genotyping protocol of cell-free plasma DNA (cfDNA) using Droplet Digital™ PCR (ddPCR™). ddPCR emulsifies DNA into ~20,000 droplets in which PCR is performed to endpoint in each droplet for both mutant and wild-type DNA. Droplets are run through a modified flow cytometer where mutant and wild-type DNA emit different colored signals. The count of these signals upon Poisson distribution analysis allows sensitive quantification of allelic prevalence.

Discrimination of Germline EGFR T790M Mutations in Plasma Cell-Free DNA Allows Study of Prevalence Across 31,414 Cancer Patients.

Purpose: Plasma cell-free DNA (cfDNA) analysis is increasingly used clinically for cancer genotyping, but may lead to incidental identification of germline-risk alleles. We studied EGFR T790M mutations in non-small cell lung cancer (NSCLC) toward the aim of discriminating germline and cancer-derived variants within cfDNA.Experimental Design: Patients with EGFR-mutant NSCLC, some with known germline EGFR T790M, underwent plasma genotyping. Separately, deidentified genomic data and buffy coat specimens from a clinical plasma next-generation sequencing (NGS) laboratory were reviewed and tested.Results: In patients with germline T790M mutations, the T790M allelic fraction (AF) in cfDNA approximates 50%, higher than that of EGFR driver mutations. Review of plasma NGS results reveals three groups of variants: a low-AF tumor group, a heterozygous group (∼50% AF), and a homozygous group (∼100% AF). As the EGFR driver mutation AF increases, the distribution of the heterozygous group changes, suggesting increased copy number variation from increased tumor content. Excluding cases with high copy number variation, mutations can be differentiated into somatic variants and incidentally identified germline variants. We then developed a bioinformatic algorithm to distinguish germline and somatic mutations; blinded validation in 21 cases confirmed a 100% positive predictive value for predicting germline T790M. Querying a database of 31,414 patients with plasma NGS, we identified 48 with germline T790M, 43 with nonsquamous NSCLC (P < 0.0001).Conclusions: With appropriate bioinformatics, plasma genotyping can accurately predict the presence of incidentally detected germline risk alleles. This finding in patients indicates a need for genetic counseling and confirmatory germline testing. Clin Cancer Res; 23(23); 7351-9. ©2017 AACR.

Acquired METD1228V Mutation and Resistance to MET Inhibition in Lung Cancer.

Amplified and/or mutated MET can act as both a primary oncogenic driver and as a promoter of tyrosine kinase inhibitor (TKI) resistance in non-small cell lung cancer (NSCLC). However, the landscape of MET-specific targeting agents remains underdeveloped, and understanding of mechanisms of resistance to MET TKIs is limited. Here, we present a case of a patient with lung adenocarcinoma harboring both a mutation in EGFR and an amplification of MET, who after progression on erlotinib responded dramatically to combined MET and EGFR inhibition with savolitinib and osimertinib. When resistance developed to this combination, a new MET kinase domain mutation, D1228V, was detected. Our in vitro findings demonstrate that METD1228V induces resistance to type I MET TKIs through impaired drug binding, while sensitivity to type II MET TKIs is maintained. Based on these findings, the patient was treated with erlotinib combined with cabozantinib, a type II MET inhibitor, and exhibited a response. SIGNIFICANCE: With several structurally distinct MET inhibitors undergoing development for treatment of NSCLC, it is critical to identify mechanism-based therapies for drug resistance. We demonstrate that an acquired METD1228V mutation mediates resistance to type I, but not type II, MET inhibitors, having therapeutic implications for the clinical use of sequential MET inhibitors. Cancer Discov; 6(12); 1334-41. ©2016 AACR.See related commentary by Trusolino, p. 1306This article is highlighted in the In This Issue feature, p. 1293.

Association Between Plasma Genotyping and Outcomes of Treatment With Osimertinib (AZD9291) in Advanced Non-Small-Cell Lung Cancer.

PURPOSE: Third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have demonstrated potent activity against TKI resistance mediated by EGFR T790M. We studied whether noninvasive genotyping of cell-free plasma DNA (cfDNA) is a useful biomarker for prediction of outcome from a third-generation EGFR-TKI, osimertinib. METHODS: Plasma was collected from all patients in the first-in-man study of osimertinib. Patients who were included had acquired EGFR-TKI resistance and evidence of a common EGFR-sensitizing mutation. Genotyping of cell-free plasma DNA was performed by using BEAMing. Plasma genotyping accuracy was assessed by using tumor genotyping from a central laboratory as reference. Objective response rate (ORR) and progression-free survival (PFS) were analyzed in all T790M-positive or T790M-negative patients. RESULTS: Sensitivity of plasma genotyping for detection of T790M was 70%. Of 58 patients with T790M-negative tumors, T790M was detected in plasma of 18 (31%). ORR and median PFS were similar in patients with T790M-positive plasma (ORR, 63%; PFS, 9.7 months) or T790M-positive tumor (ORR, 62%; PFS, 9.7 months) results. Although patients with T790M-negative plasma had overall favorable outcomes (ORR, 46%; median PFS, 8.2 months), tumor genotyping distinguished a subset of patients positive for T790M who had better outcomes (ORR, 69%; PFS, 16.5 months) as well as a subset of patients negative for T790M with poor outcomes (ORR, 25%; PFS, 2.8 months). CONCLUSION: In this retrospective analysis, patients positive for T790M in plasma have outcomes with osimertinib that are equivalent to patients positive by a tissue-based assay. This study suggests that, upon availability of validated plasma T790M assays, some patients could avoid a tumor biopsy for T790M genotyping. As a result of the 30% false-negative rate of plasma genotyping, those with T790M-negative plasma results still need a tumor biopsy to determine presence or absence of T790M.

Prospective Validation of Rapid Plasma Genotyping for the Detection of EGFR and KRAS Mutations in Advanced Lung Cancer.

IMPORTANCE: Plasma genotyping of cell-free DNA has the potential to allow for rapid noninvasive genotyping while avoiding the inherent shortcomings of tissue genotyping and repeat biopsies. OBJECTIVE: To prospectively validate plasma droplet digital PCR (ddPCR) for the rapid detection of common epidermal growth factor receptor (EGFR) and KRAS mutations, as well as the EGFR T790M acquired resistance mutation. DESIGN, SETTING, AND PARTICIPANTS: Patients with advanced nonsquamous non-small-cell lung cancer (NSCLC) who either (1) had a new diagnosis and were planned for initial therapy or (2) had developed acquired resistance to an EGFR kinase inhibitor and were planned for rebiopsy underwent initial blood sampling and immediate plasma ddPCR for EGFR exon 19 del, L858R, T790M, and/or KRAS G12X between July 3, 2014, and June 30, 2015, at a National Cancer Institute-designated comprehensive cancer center. All patients underwent biopsy for tissue genotyping, which was used as the reference standard for comparison; rebiopsy was required for patients with acquired resistance to EGFR kinase inhibitors. Test turnaround time (TAT) was measured in business days from blood sampling until test reporting. MAIN OUTCOMES AND MEASURES: Plasma ddPCR assay sensitivity, specificity, and TAT. RESULTS: Of 180 patients with advanced NSCLC (62% female; median [range] age, 62 [37-93] years), 120 cases were newly diagnosed; 60 had acquired resistance. Tumor genotype included 80 EGFR exon 19/L858R mutants, 35 EGFR T790M, and 25 KRAS G12X mutants. Median (range) TAT for plasma ddPCR was 3 (1-7) days. Tissue genotyping median (range) TAT was 12 (1-54) days for patients with newly diagnosed NSCLC and 27 (1-146) days for patients with acquired resistance. Plasma ddPCR exhibited a positive predictive value of 100% (95% CI, 91%-100%) for EGFR 19 del, 100% (95% CI, 85%-100%) for L858R, and 100% (95% CI, 79%-100%) for KRAS, but lower for T790M at 79% (95% CI, 62%-91%). The sensitivity of plasma ddPCR was 82% (95% CI, 69%-91%) for EGFR 19 del, 74% (95% CI, 55%-88%) for L858R, and 77% (95% CI, 60%-90%) for T790M, but lower for KRAS at 64% (95% CI, 43%-82%). Sensitivity for EGFR or KRAS was higher in patients with multiple metastatic sites and those with hepatic or bone metastases, specifically. CONCLUSIONS AND RELEVANCE: Plasma ddPCR detected EGFR and KRAS mutations rapidly with the high specificity needed to select therapy and avoid repeat biopsies. This assay may also detect EGFR T790M missed by tissue genotyping due to tumor heterogeneity in resistant disease.

Bias-Corrected Targeted Next-Generation Sequencing for Rapid, Multiplexed Detection of Actionable Alterations in Cell-Free DNA from Advanced Lung Cancer Patients.

PURPOSE: Tumor genotyping is a powerful tool for guiding non-small cell lung cancer (NSCLC) care; however, comprehensive tumor genotyping can be logistically cumbersome. To facilitate genotyping, we developed a next-generation sequencing (NGS) assay using a desktop sequencer to detect actionable mutations and rearrangements in cell-free plasma DNA (cfDNA). EXPERIMENTAL DESIGN: An NGS panel was developed targeting 11 driver oncogenes found in NSCLC. Targeted NGS was performed using a novel methodology that maximizes on-target reads, and minimizes artifact, and was validated on DNA dilutions derived from cell lines. Plasma NGS was then blindly performed on 48 patients with advanced, progressive NSCLC and a known tumor genotype, and explored in two patients with incomplete tumor genotyping. RESULTS: NGS could identify mutations present in DNA dilutions at ≥ 0.4% allelic frequency with 100% sensitivity/specificity. Plasma NGS detected a broad range of driver and resistance mutations, including ALK, ROS1, and RET rearrangements, HER2 insertions, and MET amplification, with 100% specificity. Sensitivity was 77% across 62 known driver and resistance mutations from the 48 cases; in 29 cases with common EGFR and KRAS mutations, sensitivity was similar to droplet digital PCR. In two cases with incomplete tumor genotyping, plasma NGS rapidly identified a novel EGFR exon 19 deletion and a missed case of MET amplification. CONCLUSIONS: Blinded to tumor genotype, this plasma NGS approach detected a broad range of targetable genomic alterations in NSCLC with no false positives including complex mutations like rearrangements and unexpected resistance mutations such as EGFR C797S. Through use of widely available vacutainers and a desktop sequencing platform, this assay has the potential to be implemented broadly for patient care and translational research.

Designing a definitive trial for adjuvant targeted therapy in genotype defined lung cancer: the ALCHEMIST trials.

Genotype-directed targeted therapies have revolutionized the treatment of metastatic non-small cell lung cancer (NSCLC) but they have not yet been comprehensively studied in the adjuvant setting. Previous trials of adjuvant targeted therapy in unselected early stage NSCLC patients showed no benefit versus placebo, however retrospective data suggests improved disease free survival (DFS) with epidermal growth factor receptor (EGFR) inhibitors in patients with appropriate molecular alterations. A definitive prospective, randomized, placebo-controlled trial of targeted therapies for NSCLC is needed to determine the efficacy of targeted therapy following surgical resection and standard adjuvant therapy. The principal challenges facing such a trial are (I) identification of actionable alterations in early stage patients; and (II) realization of sufficient enrollment to power definitive analyses. The ALCHEMIST trial (Adjuvant Lung Cancer Enrichment Marker Identification and Sequencing Trial) was designed to overcome these challenges. Using the national clinical trials network (NCTN) of the National Cancer Institute (NCI), several thousand patients with operable NSCLC will undergo tumor genotyping for EGFR mutations or rearrangement of anaplastic lymphoma kinase (ALK). Following resection and completion of standard adjuvant therapy, patients with EGFR-mutant NSCLC will be randomized to erlotinib versus placebo (1:1), those with ALK-rearranged NSCLC will be randomized to crizotinib versus placebo (1:1), while those not enrolled onto the adjuvant trials will continue to be followed on the screening trial. ALCHEMIST also provides for the collection of tissue at baseline and at recurrence (if available) to characterize mechanisms of recurrence and of resistance to targeted therapy. Thus, ALCHEMIST is a platform for validation of targeted therapy as part of curative care in NSCLC and creates an opportunity to advance our understanding of disease biology.