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This file presents the raw data for the cell free DNA experiments.

This file presents demographic information across the different PDOX populations.

The factors responsible for the low detection rate of cell-free tumor DNA (ctDNA) in the plasma of patients with glioblastoma (GBM) are currently unknown. In this study, we measured circulating nucleic acids in patient-derived orthotopically implanted xenograft (PDOX) models of GBM (n = 64) and show that tumor size and cell proliferation, but not the integrity of the blood–brain barrier or cell death, affect the release of ctDNA in treatment-naïve GBM PDOX. Analysis of fragment length profiles by shallow genome-wide sequencing (Significance:These findings show that detection of tumor mitochondrial DNA is more sensitive than circulating tumor DNA analysis to detect and monitor tumor burden in patient-derived orthotopic xenografts of glioblastoma.

PurposeMonitoring levels of circulating tumor-derived DNA (ctDNA) represents a non-invasive snapshot of tumor burden and potentially clonal evolution. Here we describe how a novel statistical model that uses serial ctDNA measurements from shallow whole genome sequencing (sWGS) in metastatic breast cancer patients produces a rapid and inexpensive assessment that is predictive of treatment response and progression-free survival.Patients and MethodsA cohort of 188 metastatic breast cancer patients had DNA extracted from serial plasma samples (total 1098, median=4, mean=5.87). Plasma DNA was assessed using sWGS and the tumor fraction in total cell free DNA estimated using ichorCNA. This approach was compared with ctDNA targeted sequencing and serial CA 15-3 measurements. The longitudinal ichorCNA values were used to develop a Bayesian learning model to predict subsequent treatment response.ResultsWe identified a transition point of 7% estimated tumor fraction to stratify patients into different categories of progression risk using ichorCNA estimates and a time-dependent Cox model, validated across different breast cancer subtypes and treatments, outperforming the alternative methods. We then developed a Bayesian learning model to predict subsequent treatment response with a sensitivity of 0.75 and a specificity of 0.66.ConclusionIn patients with metastatic breast cancer, sWGS of ctDNA and ichorCNA provide prognostic and predictive real-time valuable information on treatment response across subtypes and therapies. A prospective large-scale clinical trial to evaluate clinical benefit of early treatment changes based on ctDNA levels is now warranted.

This review introduces clinicians to the basic concepts of the biology of circulating tumour DNA (ctDNA), which is required to understand clinical use of ctDNA technology. We provide an overview of how new technology has improved the sensitivity of ctDNA detection over the last decade and the available techniques for ctDNA analysis including whole-genome sequencing (WGS), targeted cancer-associated gene panels, and methylation analysis. We discuss the most recent evidence from clinical trials for ctDNA in patient care including precision treatment of advanced cancers, disease monitoring, improving adjuvant treatment, and screening for early detection of cancer. Finally, we outline how ctDNA is likely to directly impact radiologists, and identify further research required for ctDNA to progress into routine clinical application.

Current evidence suggests that plasma cell-free DNA (cfDNA) is fragmented around a mode of 166 bp. Data supporting this view has been mainly acquired through the analysis of double-stranded cfDNA. The characteristics and diagnostic potential of single-stranded and damaged double-stranded cfDNA in healthy individuals and cancer patients remain unclear. Here, through a combination of high-affinity magnetic bead–based DNA extraction and single-stranded DNA sequencing library preparation (MB-ssDNA), we report the discovery of a large proportion of cfDNA fragments centered at ∼50 bp. We show that these “ultrashort” cfDNA fragments have a greater relative abundance in plasma of healthy individuals (median = 19.1% of all sequenced cfDNA fragments, n = 28) than in plasma of patients with cancer (median = 14.2%, n = 21, P < 0.0001). The ultrashort cfDNA fragments map to accessible chromatin regions of blood cells, particularly in promoter regions with the potential to adopt G-quadruplex (G4) DNA secondary structures. G4-positive promoter chromatin accessibility is significantly enriched in ultrashort plasma cfDNA fragments from healthy individuals relative to patients with cancers (P < 0.0001), in whom G4-cfDNA enrichment is inversely associated with copy number aberration-inferred tumor fractions. Our findings redraw the landscape of cfDNA fragmentation by identifying and characterizing a novel population of ultrashort plasma cfDNA fragments. Sequencing of MB-ssDNA libraries could facilitate the characterization of gene regulatory regions and DNA secondary structures via liquid biopsy. Our data underline the diagnostic potential of ultrashort cfDNA through classification for cancer patients.

Blood-based assays have shown increasing ability to detect circulating tumour DNA (ctDNA) in patients with early-stage cancer. However, detection of ctDNA in patients with non-small cell lung cancer (NSCLC) has continued to prove challenging. We performed retrospective analysis to quantify ctDNA levels in a cohort of 100 patients with early-stage NSCLC prior to treatment with curative intent enrolled in the LUCID study (NCT04153526). Where tumour tissue was available for whole exome sequencing, mutations identified were used to define patient-specific sequencing assays. For those 90 patients, plasma cell-free DNA was sequenced to high depth across capture panels targeting a median of 328 mutations specific to each patient. Data was analysed using Integration of Variant Reads (INVAR), detecting ctDNA in 66.7% of patients, including 52.7% (29 of 55) patients with stage I disease and >88% detection for patients with stage II and III disease (16/18 and 15/17). ctDNA was detected in plasma at fractional concentrations as low as 9.1×10−6, and in patients with tumour volumes as low as 0.23 cm3. A 36-gene sequencing panel (InVisionFirst-Lung™) was used to analyse plasma DNA in 27 samples including the 10 cases without tumour exome data, and detected ctDNA in 59% of samples tested (16 of 27). Across the entire cohort, detection rates were higher in squamous cell carcinoma patients compared to adenocarcinoma patients (81% vs. 59%). Detection of ctDNA prior to treatment was associated with significantly shorter time free from relapse, across all patients and in patient subgroups, with Hazard Ratios >11 for selected patient subsets. Our analysis indicates that for patients with stage I NSCLC, the median ctDNA fraction in plasma is approx. 12 parts per million (0.0012%). This indicates the limits of detection that would be required for ctDNA-based liquid biopsies to detect ctDNA in the majority of patients with early-stage NSCLC.

Significance Patients with microsatellite stable (MSS) pancreatic (PDA) or colorectal cancer (CRC) do not respond to immunotherapy with inhibitors of T cell checkpoints. A possible explanation is suggested by finding that cancer cells in these tumors are coated with the chemokine, CXCL12, and that stimulation of CXCR4, the CXCL12 receptor on immune cells, suppresses directed migration mediated by other chemokine receptors on these cells. We assessed the relevance of these findings by treating patients for seven days with continuous infusion of AMD3100/Plerixafor, a CXCR4 inhibitor. Comparison of pre- and end-of-treatment paired biopsies of metastatic lesions by transcriptomic analysis revealed that AMD3100 induced an integrated immune response that is predictive of a clinical response to T cell checkpoint inhibition., Inhibition of the chemokine receptor CXCR4 in combination with blockade of the PD-1/PD-L1 T cell checkpoint induces T cell infiltration and anticancer responses in murine and human pancreatic cancer. Here we elucidate the mechanism by which CXCR4 inhibition affects the tumor immune microenvironment. In human immune cell-based chemotaxis assays, we find that CXCL12-stimulated CXCR4 inhibits the directed migration mediated by CXCR1, CXCR3, CXCR5, CXCR6, and CCR2, respectively, chemokine receptors expressed by all of the immune cell types that participate in an integrated immune response. Inhibiting CXCR4 in an experimental cancer medicine study by 1-wk continuous infusion of the small-molecule inhibitor AMD3100 (plerixafor) induces an integrated immune response that is detected by transcriptional analysis of paired biopsies of metastases from patients with microsatellite stable colorectal and pancreatic cancer. This integrated immune response occurs in three other examples of immune-mediated damage to noninfected tissues: Rejecting renal allografts, melanomas clinically responding to anti-PD1 antibody therapy, and microsatellite instable colorectal cancers. Thus, signaling by CXCR4 causes immune suppression in human pancreatic ductal adenocarcinoma and colorectal cancer by impairing the function of the chemokine receptors that mediate the intratumoral accumulation of immune cells.

Circulating tumor-derived DNA (ctDNA) can be used to monitor cancer dynamics noninvasively. Detection of ctDNA can be challenging in patients with low-volume or residual disease, where plasma contains very few tumor-derived DNA fragments. We show that sensitivity for ctDNA detection in plasma can be improved by analyzing hundreds to thousands of mutations that are first identified by tumor genotyping. We describe the INtegration of VAriant Reads (INVAR) pipeline, which combines custom error-suppression methods and signal-enrichment approaches based on biological features of ctDNA. With this approach, the detection limit in each sample can be estimated independently based on the number of informative reads sequenced across multiple patient-specific loci. We applied INVAR to custom hybrid-capture sequencing data from 176 plasma samples from 105 patients with melanoma, lung, renal, glioma, and breast cancer across both early and advanced disease. By integrating signal across a median of >105 informative reads, ctDNA was routinely quantified to 1 mutant molecule per 100,000, and in some cases with high tumor mutation burden and/or plasma input material, to parts per million. This resulted in median area under the curve (AUC) values of 0.98 in advanced cancers and 0.80 in early-stage and challenging settings for ctDNA detection. We generalized this method to whole-exome and whole-genome sequencing, showing that INVAR may be applied without requiring personalized sequencing panels so long as a tumor mutation list is available. As tumor sequencing becomes increasingly performed, such methods for personalized cancer monitoring may enhance the sensitivity of cancer liquid biopsies.

Background Approximately 50% of epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer (NSCLC) patients treated with EGFR tyrosine kinase inhibitors (TKIs) will acquire resistance by theT790M mutation. Osimertinib is the standard of care in this situation. The present study assesses the efficacy of osimertinib whenT790M status is determined in circulating cell-free tumour DNA (ctDNA) from blood samples in progressing advancedEGFR-mutant NSCLC patients. Material and methods ctDNAT790M mutational status was assessed by Inivata InVision™ (eTAm-Seq™) assay in 48EGFR-mutant advanced NSCLC patients with acquired resistance to EGFR TKIs without a tissue biopsy between April 2015 and April 2016. ProgressingT790M-positive NSCLC patients received osimertinib (80 mg daily). The objectives were to assess the response rate to osimertinib according to Response Evaluation Criteria in Solid Tumours (RECIST) 1.1, the progression-free survival (PFS) on osimertinib, and the percentage ofT790M positive inctDNA. Results ThectDNAT790M mutation was detected in 50% of NSCLC patients. Among assessable patients, osimertinib gave a partial response rate of 62.5% and a stable disease rate of 37.5%. All responses were confirmed responses. After median follow up of 8 months, median PFS by RECIST criteria was not achieved (95% CI: 4–NA), with 6- and 12-months PFS of 66.7% and 52%, respectively. Conclusion(s) ctDNA from liquid biopsy can be used as a surrogate marker forT790M in tumour tissue.

Background Recent advances in the study and clinical applications of circulating tumor DNA (ctDNA) are limited by practical considerations of sample collection. Whole-genome sequencing (WGS) is increasingly used for analysis of ctDNA, identifying copy-number alterations and fragmentation patterns. We hypothesized that low-depth/shallow WGS (sWGS) data may be generated from minute amounts of cell-free DNA, and that fragment-size selection may remove contaminating genomic DNA from small blood volumes. Dried blood spots have practical advantages for sample collection, may facilitate serial sampling, and could support novel study designs in humans and animal models. Methods We developed a protocol for the isolation and analysis of cell-free DNA from dried blood spots using filter paper cards and bead-based size selection. DNA extracted and size-selected from dried spots was analyzed using sWGS and polymerase chain reaction (PCR). Results Analyzing a 50 μL dried blood spot from frozen whole blood of a patient with melanoma, we identified ctDNA based on the presence of tumor-specific somatic copy-number alterations, and found a fragment-size profile similar to that observed in plasma DNA. We found alterations in different chromosomes in blood spots from 2 patients with high-grade serous ovarian carcinoma. Extending this approach to serial dried blood spots from mouse xenograft models, we detect tumor-derived cell-free DNA and identified ctDNA from the originally grafted ascites. Conclusion Our data suggest that ctDNA can be detected and monitored in dried blood spots from archived and fresh blood samples, enabling new approaches for sample collection and novel study/trial designs for both patients and in vivo models.

Glioma-derived cell-free tumor DNA is challenging to detect using standard liquid biopsy techniques as its levels in body fluids are very low, similar to those in patients with early stage carcinomas. By sequencing cell-free DNA across thousands of clonal and private mutations identified individually in each patient’s tumor we detected tumor-derived DNA in plasma (10/12, 83%) and urine samples (8/11, 72%) from the majority (7/8, 87.5%) of glioma patients tested.One Sentence SummaryCirculating tumor DNA can be detected in the majority of plasma and urine samples from primary brain tumor patients using sequencing guided by mutations detected in multi-region tumor biopsies.

Circulating tumor-derived DNA (ctDNA) can be used to monitor cancer dynamics noninvasively. Patients with small tumors have few copies of ctDNA in plasma, resulting in limited sensitivity to detect low-volume or residual disease. We show that sampling limitations can be overcome and sensitivity for ctDNA detection can be improved by massively parallel sequencing when hundreds to thousands of mutations are identified by tumor genotyping. We describe the INtegration of VAriant Reads (INVAR) analysis pipeline, which combines patient-specific mutation lists with both custom error-suppression methods and signal enrichment based on biological features of ctDNA. In this framework, the sensitivity can be estimated independently for each sample based on the number of informative reads, which is the product of the number of mutations analyzed and the average depth of unique sequencing reads. We applied INVAR to deep sequencing data generated by custom hybrid-capture panels, and showed that when ~106 informative reads were obtained INVAR allowed detection of tumor-derived DNA fractions to parts per million (ppm). In serial samples from patients with advanced melanoma on treatment, we detected ctDNA when imaging confirmed tumor volume of ~1cm3. In patients with resected early-stage melanoma, ctDNA was detected in 40% of patients who later relapsed, with higher rates of detection when more informative reads were obtained. We further demonstrated that INVAR can be generalized and allows improved detection of ctDNA from whole-exome and low-depth whole-genome sequencing data.

Cell-free tumour-derived DNA (ctDNA) allows non-invasive monitoring of cancers but its utility in renal cell cancer (RCC) has not been established. Here, untargeted and targeted sequencing methods, applied to two independent cohorts of renal tumour patients (n=90), were used to determine ctDNA content in plasma and urine. Our data revealed lower plasma ctDNA levels in RCC relative to other cancers, with untargeted detection of ∼33%. A sensitive personalised approach, applied to plasma and urine from select patients improved detection to ∼50%, including in patients with early-stage and even benign lesions.A machine-learning based model predicted detection, potentially offering a means of triaging samples for personalised analysis. In addition, with limited data we observed that plasma, and for the first time, urine ctDNA may better represent tumour heterogeneity than tissue biopsy. Furthermore, longitudinal sampling of >200 plasma samples revealed that ctDNA can track disease course. Additional datasets will be required to validate these findings.Overall, our data highlight RCC as a ctDNA-low malignancy, but indicate potential clinical utility provided improvement in detection approaches.One sentence summaryComplementary sequencing methods show that cell-free tumour DNA levels are low in renal cancer though, via various strategies, may still be informative.

Recent advances in the research and clinical applications of circulating tumour DNA (ctDNA) is limited by practical considerations of sample collection. Whole genome sequencing (WGS) is increasingly used for analysis of ctDNA, identifying copy-number alterations, fragment size patterns, and other genomic features. We hypothesised that low-depth WGS data may be generated from minute amounts of cell-free DNA, and that fragment-size selection may be effective to remove contaminating genomic DNA (gDNA) from small volumes of blood. There are practical advantages to using dried blood spots as these are easier to collect, facilitate serial sampling, and support novel study designs in prospective human studies, animal models and expand the utilisation of archival samples by the removal of gDNA in small volumes. We therefore developed a protocol for the isolation and analysis of cell-free DNA from dried blood spots. Analysing a dried blood spot of 50μL frozen whole blood from a patient with melanoma, we identified ctDNA based on tumour-specific somatic copy-number alterations, and found a fragment size profile similar to that observed in plasma DNA processed by traditional methods. We extended this approach to detect tumour-derived cell-free DNA in a dried blood spot from a mouse xenograft model and were able to identify ctDNA from the originally grafted ascites. Together, our data suggests that ctDNA can be detected and monitored in dried blood spots. This will enable new approaches for sample collection from patients andin vivomodels.

8517 Background: Liquid biopsies based on circulating tumor DNA (ctDNA) analysis are being investigated for detection of residual disease and recurrence. Conclusive evidence for utility of ctDNA in early-stage non-small cell lung cancer (NSCLC) is awaited. Due to low ctDNA levels in early-stage disease or post-treatment, effective methods require high analytical sensitivity to detect mutant allele fractions (MAF) below 0.01%. Methods: We analysed 363 plasma samples from 88 patients with NSCLC recruited to the LUng cancer CIrculating tumour DNA (LUCID) study, with disease stage I (49%), II (28%) and III (23%). 62% were adenocarcinomas. Plasma was collected before and after treatment, and at 3, 6 and 9 months after surgery (N = 69) or chemoradiotherapy (N = 19). Additional plasma was collected at disease relapse for 17 patients. Median follow-up was 3 years, and 40 patients progressed or died of any cause. We employed the RaDaR™ assay, a highly sensitive personalized assay using deep sequencing of up to 48 tumor-specific variants. Variants identified by tumor exome analysis were tested by deep sequencing of tumor tissue and buffy coat DNA to verify somatic mutations and exclude clonal hematopoiesis. The RaDaR assay demonstrated 90% sensitivity at 0.001% MAF in analytical validation studies. Results: ctDNA was detected in 26% of samples, at median MAF of 0.047% (range: 0.0007% to > 2%), and prior to treatment in 87%, 77% and 24% for disease stage III, II and I respectively. For 62 patients, plasma was collected at a landmark timepoint, between 2 weeks and 4 months after initial treatment. ctDNA detection at the landmark timepoint was strongly predictive of clinical disease relapse, with Hazard Ratio of 20.7 (CI: 7.7-55.5, p-value < 0.0001). All 11 cases with ctDNA detected at landmark had disease progression, a median of 121 days after detection, and these included all 8 patients that relapsed within 300 days of treatment. Across 27 patients whose disease progressed during the study, ctDNA was detected at any timepoint post-treatment in 17 cases, with a median lead time of 203 days, and up to 741 days prior to clinical progression. ctDNA was detected post-treatment, in 13 of the 15 patients that progressed and had ctDNA detected prior to treatment. Conclusions: Our results support an emerging paradigm shift, by demonstrating that liquid biopsies can reliably detect recurrence of NSCLC at a preclinical stage, many months before clinical progression, thereby offering the opportunity for earlier therapeutic intervention. Clinical trial information: NCT04153526.

Introduction Overall survival of non-small-cell lung cancer (NSCLC) patients remains poor as patients are frequently diagnosed at late stage. The evaluation of circulating tumor DNA (ctDNA) has been shown to offer a non-invasive method for cancer detection. However, detection rates of ctDNA in patients with early stage cancers have been low. The distribution of ctDNA levels in this population is unknown, and the analytical requirements for a test to detect the majority of cancers cannot be defined. Methods The LUCID study (LUng cancer - CIrculating tumour DNA study) recruited 100 patients with stage I-IIIB NSCLC according to the TNM 7th edition and collected plasma samples before and after radical treatment by surgery or radiotherapy +/- chemotherapy with curative intent. To measure levels of ctDNA in patients with early stage disease and very low tumor burden we developed a method for INtegration of VAriant Reads (INVAR), which uses sequencing data across hundreds to thousands of tumor-mutated loci to detect ctDNA in plasma samples at high sensitivity. We applied INVAR to 90 of the patients from the LUCID study, where tumor sequencing data was available. To measure ctDNA in the remaining LUCID patients, we applied the InVision® amplicon-based plasma sequencing assay. Results Across the 100 patients, ctDNA signals were observed in 67% of samples obtained prior to treatment. ctDNA was detected in 66% of cases, with ctDNA levels as low as 9.1x10-6 (9 parts per million), at a detection threshold with 95% specificity. ctDNA was detected in 52% of 60 patients with stage I NSCLC and in 88% of 40 patients with stage II/III disease. Analyzing different histological subtypes, ctDNA was detected in 79% of squamous cell carcinomas and 60% of adenocarcinomas. We found a good agreement when comparing the ctDNA results obtained from INVAR and the InVision® assay. Conclusions Our findings suggest that an assay with sensitivity to below 10 parts per million may be able to detect ctDNA in as many as 2/3 of patients with early stage NSCLC prior to treatment, including the majority of adenocarcinoma cases. Additionally, patient-specific analysis of ctDNA has the potential to aid in longitudinal cancer monitoring and in detection of low tumor burden and minimal residual disease. We aim to apply this approach to serial samples obtained through the LUCID study to investigate its application in treatment management. Citation Format: Katrin Heider, Jonathan C. Wan, Davina Gale, Andrea Ruiz-Valdepenas, Florent Mouliere, James Morris, Nagmi R. Qureshi, Wendi Qian, Jerome Wulff, Nikolaos Demiris, Karen Howarth, Emma Green, Viona Rundell, Tim Eisen, Wendy Cooper, Christopher G. Smith, Charles Massie, Susan Harden, Doris M. Rassl, Robert C. Rintoul, Nitzan Rosenfeld. ctDNA detection in early stage non-small cell lung cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 736.

Introduction Identification of minimal residual disease (MRD) following curative intervention of localized non-small cell lung cancer (NSCLC) holds promise for identifying patients who are at higher risk of relapse and who would benefit from adjuvant treatment. Current routine clinical practice involves serial radiographic imaging following surgery to detect macroscopic disease. Liquid biopsy can identify patients who have MRD without macroscopic disease. Currently available assays have only identified circulating tumor DNA (ctDNA) in a limited number of cases with early stage NSCLC. More sensitive methods are needed to accurately identify the majority of patients who will relapse. Here we evaluate the performance of InVision®MRD, a personalized sequencing assay for plasma cell-free DNA, for detection of ctDNA in patients with early-stage NSCLC undergoing treatment with curative intent. Methods InVision®MRD is a highly sensitive in vitro diagnostic assay, currently available for research use only (RUO), that can detect the presence of tumor DNA traces in cell-free DNA from plasma samples of cancer patients. InVision®MRD identifies tumor-specific variants from exome sequencing of tumor tissue and tracks them in plasma specimens by multiplex PCR and high-depth next-generation sequencing. We evaluated the detection of ctDNA in plasma samples collected from the LUng cancer - CIrculating tumor DNA (LUCID) study, which collected plasma samples from 100 patients with NSCLC stages I-III who underwent radical treatment with curative intent, either surgery or radiotherapy ± chemotherapy. Of patients in the LUCID study, 60% had stage I NSCLC and 40% patients had stage II/III disease, according to TNM 7th edition. Results To evaluate the InVision®MRD assay, a subset of samples from the LUCID study were analyzed. Samples were collected before and after surgery and chemo-radiotherapy from patients with early-stage NSCLC. Using multiplexed analysis of 48 patient-specific variants and high-depth sequencing, ctDNA was detected in 50% of pre-treatment samples analyzed from the first set of 18 patients, at ctDNA fractions ranging from 20 ppm (equivalent to 0.002%) to 19576 ppm (equivalent to 1.958%). Conclusions These findings highlight an opportunity to improve ctDNA detection for early stage NSCLC using a patient-specific plasma sequencing assay. Initial detection rates have reached 50% for patients with early-stage disease prior to treatment, including detection of ctDNA to levels as low as a few parts per million. Together with further data to be presented, this suggests a possible route to improving treatment for early stage NSCLC by detection of residual disease post treatment and for monitoring for early detection of relapse. Citation Format: Katrin Heider, Davina Gale, Andrea Ruiz-Valdepenas, Giovanni Marsico, Garima Sharma, Malcolm Perry, Robert Osborne, Karen Howarth, Tadd Lazarus, Viona Rundell, Jelena Belic, Jerome Wulff, Susan Harden, Doris M. Rassl, Robert C. Rintoul, Nitzan Rosenfeld. Sensitive detection of ctDNA in early stage non-small cell lung cancer patients with a personalized sequencing assay [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 735.

e15560 Background: Detection of residual circulating tumour DNA (ctDNA) in patient plasma following curative intervention for localized non-small cell lung cancer (NSCLC) could identify patients who are at higher risk of relapse. These patients may benefit from adjuvant treatment, even if they have no macroscopic disease identified by radiographic imaging, which is the current standard of care. Here we evaluate the performance of the Inivata personalized sequencing assays to detect ctDNA in a cohort of 90 patients with early-stage NSCLC undergoing treatment with curative intent. Methods: The Inivata assay uses a highly sensitive next-generation sequencing platform, to identify tumor-specific variants from exome sequencing of tumor tissue and to track up to 48 patient-specific mutations in plasma specimens by multiplex PCR and ultra-high-depth next-generation sequencing. Samples from 90 patients with Stage I-III NSCLC who underwent radical treatment with curative intent, either surgery or radiotherapy ± chemotherapy, were collected as part of the LUng cancer - CIrculating tumor DNA (LUCID) study. Results: 350 plasma samples from 90 patients were analyzed using the Inivata assay, including samples collected before and after treatment and at subsequent follow-up visits. ctDNA was detected in pre-treatment samples in 38% of 32 patients (12/32) with Stage I NSCLC and in 90% of 21 patients (19/21) with Stage II/III disease, at allele fractions ranging from 6 parts per million (ppm, equivalent to 0.0006%) to over 20,000 ppm (equivalent to 2%). In plasma samples collected post-treatment, ctDNA was detected in close to 50% of cases. Conclusions: These findings highlight the Inivata assay is a sensitive method for detection of residual ctDNA and recurrence in early stage NSCLC. Initial detection rates ranged from 38% in Stage I disease to 90% for patients with Stage II/III disease prior to treatment, including detection of ctDNA to levels as low as a few parts per million. ctDNA was detected in at least one post-treatment timepoint in close to 50% patients. Together with additional data to be presented from the full 90 patient cohort, this suggests a possible route to improving treatment and designs of adjuvant trials for early stage NSCLC by detection of residual disease post-treatment and monitoring for early detection of relapse.

Existing methods to improve detection of circulating tumor DNA (ctDNA) have focused on genomic alterations but have rarely considered the biological properties of plasma cell-free DNA (cfDNA). We hypothesized that differences in fragment lengths of circulating DNA could be exploited to enhance sensitivity for detecting the presence of ctDNA and for noninvasive genomic analysis of cancer. We surveyed ctDNA fragment sizes in 344 plasma samples from 200 patients with cancer using low-pass whole-genome sequencing (0.4×). To establish the size distribution of mutant ctDNA, tumor-guided personalized deep sequencing was performed in 19 patients. We detected enrichment of ctDNA in fragment sizes between 90 and 150 bp and developed methods for in vitro and in silico size selection of these fragments. Selecting fragments between 90 and 150 bp improved detection of tumor DNA, with more than twofold median enrichment in >95% of cases and more than fourfold enrichment in >10% of cases. Analysis of size-selected cfDNA identified clinically actionable mutations and copy number alterations that were otherwise not detected. Identification of plasma samples from patients with advanced cancer was improved by predictive models integrating fragment length and copy number analysis of cfDNA, with area under the curve (AUC) >0.99 compared to AUC 0.91 compared to AUC < 0.5 without fragmentation features. Fragment size analysis and selective sequencing of specific fragment sizes can boost ctDNA detection and could complement or provide an alternative to deeper sequencing of cfDNA.

The factors responsible for the low detection rate of cell-free tumor DNA (ctDNA) in the plasma of patients with glioblastoma (GBM) are currently unknown. In this study, we measured circulating nucleic acids in patient-derived orthotopically implanted xenograft (PDOX) models of GBM (n = 64) and show that tumor size and cell proliferation, but not the integrity of the blood–brain barrier or cell death, affect the release of ctDNA in treatment-naïve GBM PDOX. Analysis of fragment length profiles by shallow genome-wide sequencing ( Significance: These findings show that detection of tumor mitochondrial DNA is more sensitive than circulating tumor DNA analysis to detect and monitor tumor burden in patient-derived orthotopic xenografts of glioblastoma.

Circulating tumor DNA (ctDNA) analysis is being incorporated into cancer care; notably in profiling patients to guide treatment decisions. Responses to targeted therapies have been observed in patients with actionable mutations detected in plasma DNA at variant allele fractions (VAFs) below 0.5%. Highly sensitive methods are therefore required for optimal clinical use. To enable objective assessment of assay performance, detailed analytical validation is required. We developed the InVisionFirst™ assay, an assay based on enhanced tagged amplicon sequencing (eTAm-Seq™) technology to profile 36 genes commonly mutated in non-small cell lung cancer (NSCLC) and other cancer types for actionable genomic alterations in cell-free DNA. The assay has been developed to detect point mutations, indels, amplifications and gene fusions that commonly occur in NSCLC. For analytical validation, two 10mL blood tubes were collected from NSCLC patients and healthy volunteer donors. In addition, contrived samples were used to represent a wide spectrum of genetic aberrations and VAFs. Samples were analyzed by multiple operators, at different times and using different reagent Lots. Results were compared with digital PCR (dPCR). The InVisionFirst assay demonstrated an excellent limit of detection, with 99.48% sensitivity for SNVs present at VAF range 0.25%-0.33%, 92.46% sensitivity for indels at 0.25% VAF and a high rate of detection at lower frequencies while retaining high specificity (99.9997% per base). The assay also detected ALK and ROS1 gene fusions, and DNA amplifications in ERBB2, FGFR1, MET and EGFR with high sensitivity and specificity. Comparison between the InVisionFirst assay and dPCR in a series of cancer patients showed high concordance. This analytical validation demonstrated that the InVisionFirst assay is highly sensitive, specific and robust, and meets analytical requirements for clinical applications.

Circulating tumor DNA (ctDNA) offers new opportunities for noninvasive cancer management. Detecting ctDNA in plasma is challenging because it constitutes only a minor fraction of the total cell-free DNA (cfDNA). Pre-analytical factors affect cfDNA levels contributed from leukocyte lysis, hence the ability to detect low-frequency mutant alleles. This study investigates the effects of the delay in processing, storage temperatures, different blood collection tubes, centrifugation protocols, and sample shipment on cfDNA levels. Peripheral blood (n = 231) from cancer patients (n = 62) were collected into K3EDTA or Cell-free DNA BCT tubes and analyzed by digital PCR, targeted amplicon, or shallow whole-genome sequencing. To assess pre-analytic effects, plasma was processed under different conditions after 0, 6, 24, 48, 96 hours, and 1 week at room temperature or 4°C, or using different centrifugation protocols. Digital PCR showed that cfDNA levels increased gradually with time in K3EDTA tubes, but were stable in BCT tubes. K3EDTA samples stored at 4°C showed less variation than room temperature storage, but levels were elevated compared with BCT. A second centrifugation at 3000 × g gave similar cfDNA yields compared with higher-speed centrifugation. Next-generation sequencing showed negligible differences in background error or copy number changes between K3EDTA and BCT, or following shipment in BCT. This study provides insights into the effects of sample processing on ctDNA analysis.

Introductory paragraphNon-invasive analysis of cancer genomes using cell-free circulating tumour DNA (ctDNA) is being widely implemented for clinical indications. The sensitivity for detecting the presence of ctDNA and genomic changes in ctDNA is limited by its low concentration compared to cell-free DNA of non-tumour origin. We studied the feasibility for enrichment of ctDNA by size selection, in plasma samples collected before and during chemotherapy treatment in 13 patients with recurrent high-grade serous ovarian cancer. We evaluated the effects using targeted and whole genome sequencing. Selecting DNA fragments between 90-150 bp before analysis yielded enrichment of mutated DNA fraction of up to 11-fold. This allowed identification of adverse copy number alterations, including MYC amplification, otherwise not observed. Size selection allows detection of tumour alterations masked by non-tumour DNA in plasma and could help overcome sensitivity limitations of liquid biopsy for applications in early diagnosis, detection of minimal residual disease, and genomic profiling.

Overall survival of non-small-cell lung cancer (NSCLC) patients remains poor as patients are frequently diagnosed at a late stage. The evaluation of circulating tumour DNA (ctDNA) has been shown to offer a non-invasive method for detection of cancer. However, detection rates of ctDNA in patients with early stage cancers, including NSCLC, have been limited due to sampling and sensitivity issues. We developed a novel algorithm for INtegration of VAriant Reads (INVAR), which uses sequencing data across hundreds to thousands of tumour-mutated loci to detect ctDNA in plasma samples at high sensitivity. We applied this to a cohort of stage I-III NSCLC patients recruited in the LUCID study. LUCID is a prospective and observational study of 100 stage I-IIIB NSCLC who are planning to undergo radical treatment (surgery or radiotherapy +/- chemotherapy) with curative intent. Plasma samples were collected before and after treatment with curative intent. We analysed a total of 50 patients using patient specific-sequencing panels and detected ctDNA in 78% of cases before treatment, at ctDNA fractions as low as 1.7x10-5. For 17 of those patients staging information was available. Here, we detected ctDNA in 50% of stage I patients (split evenly between stages IA and B) and 100% of stage II and III patients. We also applied INVAR to whole exome and shallow whole genome sequencing data from plasma samples, and showed that this algorithm can be used to detect low ctDNA fractions in such data. Our findings highlight an opportunity to improve ctDNA detection in early stage NSCLC by using patient specific sequencing information. Additionally, our algorithm has the potential to aid in longitudinal cancer monitoring and is applicable to a variety of sequencing data types. We aim to apply this approach to serial samples obtained through the LUCID study to investigate its application in the treatment management. Citation Format: Katrin Heider, Jonathan C. Wan, Davina Gale, Florent C. Mouliere, Wendi Qian, Angels Kateb, Gail Doughton, Nicola Ramenatte, Ruth Tysoe, Christopher G. Smith, Doris M. Rassl, Susan Harden, Robert C. Rintoul, Charles Massie, Nitzan Rosenfeld. Improved ctDNA detection in early stage non-small-cell lung cancer [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 1377.

Circulating tumor DNA (ctDNA) analysis enables minimally invasive assessment of somatic genetic alterations for cancer patients. ctDNA analysis is quickly being incorporated into cancer care; notably in profiling patients' tumors to guide treatment decisions. Patients have demonstrated a response to targeted therapies even when the actionable mutations detected in their plasma DNA was at low variant allele fractions (VAFs) (< 0.5%). Here we describe a detailed analytical validation study for InVisionFirst™, an NGS-based assay offering broad molecular profiling with exceptional sensitivity for analysis of ctDNA. The InVisionFirst assay is based on enhanced tagged amplicon sequencing (eTAm-SeqTM) technology and profiles 36 genes commonly mutated in non-small cell lung cancer (NSCLC) and other cancer types for actionable genomic alterations. Analytical validation demonstrated the performance of this assay for detection of point mutations, indels, amplifications and gene fusions that commonly occur in NSCLC. Over 100 different contrived samples and 200 plasma samples were analyzed, representing a wide spectrum of genetic aberrations and variant allele frequency (VAF). Analysis was performed by multiple operators, at different times and using different reagent lots. The InVisionFirst assay demonstrated an excellent sensitivity, with 99.48% sensitivity for SNVs present at VAF range 0.25%-0.33% and 92.46% sensitivity for indels at 0.25% VAF. DNA amplifications for ERBB2, FGFR1, MET and EGFR were also detected with high sensitivity and specificity. Greater than 50% of SNVs were detected down to a few molecules (0.06%-0.08% VAF), with the lower reportable range of 0.0125% for SNVs and indels. This high sensitivity was achieved while still retaining exceptional specificity (99.9997% per base). The assay also demonstrates, for the first time, detection of ALK and ROS1 gene fusions with an amplicon-based ctDNA technology. The novel methodology detected EML4-ALK and SLC34A2-ROS1 breakpoints at a VAF of 0.0625%. Comparison of VAFs between the InVisionFirst assay and ddPCR showed excellent concordance (R2 = 0.965). This analytical validation study has evaluated the performance characteristics of the InVisionFirst assay across a range of genomic alterations, establishing it as a highly sensitive and specific assay that meets the analytical requirements for clinical applications. The InVisionFirst assay can be deployed as a liquid biopsy NGS assay for broad molecular profiling of plasma to aid in the management of cancer patients. Citation Format: Samuel Woodhouse, Vincent Plagnol, Karen Howarth, Stefanie Lensing, Matt Smith, Michael Epstein, Mikidache Madi, Sarah Smalley, Catherine Leroy, Jonathan Hinton, Frank de Kievit, Esther Musgrave-Brown, Colin Herd, Katherine Baker-Neblett, Will Brennan, Peter Dimitrov, Nathan Campbell, Nitzan Rosenfeld, James Clark, Davina Gale, Jamie Platt, John Calaway, Greg Jones, Tim Forshew. Analytical validation of InVisionFirst™, a liquid biopsy assay for high-sensitivity broad molecular profiling of circulating tumor DNA using plasma samples of cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 939.

Circulating tumour DNA analysis can be used to track tumour burden and analyse cancer genomes non-invasively but the extent to which it represents metastatic heterogeneity is unknown. Here we follow a patient with metastatic ER-positive and HER2-positive breast cancer receiving two lines of targeted therapy over 3 years. We characterize genomic architecture and infer clonal evolution in eight tumour biopsies and nine plasma samples collected over 1,193 days of clinical follow-up using exome and targeted amplicon sequencing. Mutation levels in the plasma samples reflect the clonal hierarchy inferred from sequencing of tumour biopsies. Serial changes in circulating levels of sub-clonal private mutations correlate with different treatment responses between metastatic sites. This comparison of biopsy and plasma samples in a single patient with metastatic breast cancer shows that circulating tumour DNA can allow real-time sampling of multifocal clonal evolution., Individual tumours are heterogeneous with regards to genetic mutations. In this study, the authors use sequencing to follow multiple tumour and plasma samples over 3 years from a breast cancer patient and show mutations detected in the plasma samples could partially reproduce the clonal nature of the primary tumour.

e21032 Background: Circulating tumour DNA (ctDNA) is released by cancer cells into the bloodstream and can be analysed via liquid biopsy, providing a real-time snapshot of tumour burden. After treatment, ctDNA concentrations may be low, making detection challenging, and collecting larger sample volumes may be impractical. Our study aims to achieve high-sensitivity monitoring of melanoma patients melanoma on therapy, maximising the number of mutations targeted per patient by individualised sequencing. Methods: 72 patients with stage 3 or 4 melanoma have so far been recruited to MelResist, a translational research study. 235 plasma, urine, tumour and buffy coat samples have been analysed for 10 BRAF mutant metastatic melanoma patients receiving systemic therapies, and 30 matched CT scans were analysed for RECIST response. Exome or targeted sequencing were carried out on tumour samples and plasma at baseline and progression and mutations identified were used to design individualised amplicon and hybrid-capture sequencing panels targeting hundreds to thousands of mutations per patient. Results: Baseline ctDNA allele fraction predicted for overall survival ( r = -0.56, p < 0.05). Longitudinal analysis of ctDNA showed that mutant allele fractions significantly correlated with tumour burden from CT imaging ( r = 0.79, p < 0.0001) and ctDNA changes were concordant with 20/22 (90%) of RECIST response events. ctDNA allele fractions increased with a lead time of 70 days relative to serum lactate dehydrogenase, a standard measure of disease burden (IQR = 42-142 days). Targeting multiple mutations per patient enabled detection of less than one mutant genome copy per sample and allowed comprehensive monitoring of clonal evolution on therapy, even using limited sample volumes. Conclusions: Analysis of an initial cohort of BRAF mutant metastatic melanoma patients has confirmed feasibility to apply an individualised targeted sequencing panel on both plasma and urine DNA. For a given sample volume, monitoring multiple mutations improves detection sensitivity compared to targeting individual loci, has predictive value and can be applied to all melanoma patients, irrespective of BRAF mutation status.

Background Circulating tumour DNA (ctDNA) is released by cancer cells into the bloodstream, which can be analysed via liquid biopsy. Analysis of liquid biopsy samples provides a real-time snapshot of tumour burden. After treatment, ctDNA concentrations can be low, making detection challenging. To study clonal evolution during treatment in patients with melanoma with high sensitivity, we sought to maximise the number of mutations targeted through individualised next-generation sequencing panel design. Methods 72 patients with stage III or IV melanoma were recruited to MelResist, a translational, multicentre research study. Serial plasma samples were taken from patients at monthly intervals during treatment (median 6·7 samples per patient). Clinical events were scored according to Response Evaluation Criteria In Solid Tumors (RECIST) (version 1.1) criteria. Exome and targeted sequencing were carried out on tumour samples at baseline and progression for nine patients, whose identified mutations were used to design an individualised targeted sequencing panel. Findings Multiple mutations per patient were tracked to monitor response to therapy. The percentage change in ctDNA mutant allele fraction after treatment initiation agreed with RECIST response for seven out of eight evaluable patients. ctDNA concentration strongly correlated with lactate dehydrogenase (LDH) concentration, a currently used measure of melanoma tumour burden ( r 2 =0·64, p=9·93 × 10 −7 ). ctDNA dynamics were compared against rising LDH, which showed a median lead-time to biochemical progression (rising LDH) of 70 days (IQR 28–152·3). Targeting multiple mutations could improve sensitivity compared with individual mutations. Interpretation In this study, we applied an individualised targeted sequencing panel on ctDNA from patients with melanoma. As tumour sequencing becomes more routine, individualised sequencing panel design might become more feasible, facilitating a more sensitive approach for ctDNA analysis than targeting individual loci. Tracking clonal evolution during therapy non-invasively may facilitate personalised treatment decisions with molecularly targeted agents. Funding Cancer Research UK, Lewis Family Charitable Trust, Addenbrooke's Charitable Trust, Cambridge Cancer Trials Centre, NIHR Cambridge Biomedical Research Centre and Human Research Tissue Bank.

Background The management of metastatic breast cancer requires monitoring of the tumor burden to determine the response to treatment, and improved biomarkers are needed. Biomarkers such as cancer antigen 15-3 (CA 15-3) and circulating tumor cells have been widely studied. However, circulating cell-free DNA carrying tumor-specific alterations (circulating tumor DNA) has not been extensively investigated or compared with other circulating biomarkers in breast cancer. Methods We compared the radiographic imaging of tumors with the assay of circulating tumor DNA, CA 15-3, and circulating tumor cells in 30 women with metastatic breast cancer who were receiving systemic therapy. We used targeted or whole-genome sequencing to identify somatic genomic alterations and designed personalized assays to quantify circulating tumor DNA in serially collected plasma specimens. CA 15-3 levels and numbers of circulating tumor cells were measured at identical time points. Results Circulating tumor DNA was successfully detected in 29 of the 30 women (97%) in whom somatic genomic alterations were identified; CA 15-3 and circulating tumor cells were detected in 21 of 27 women (78%) and 26 of 30 women (87%), respectively. Circulating tumor DNA levels showed a greater dynamic range, and greater correlation with changes in tumor burden, than did CA 15-3 or circulating tumor cells. Among the measures tested, circulating tumor DNA provided the earliest measure of treatment response in 10 of 19 women (53%). Conclusions This proof-of-concept analysis showed that circulating tumor DNA is an informative, inherently specific, and highly sensitive biomarker of metastatic breast cancer. (Funded by Cancer Research UK and others.)

Circulating tumor DNA (ctDNA) is becoming established as a tool to supplement conventional biopsies for molecular characterization and monitoring of solid cancers, especially for cancers where tumor tissue is difficult to obtain or is only available at limiting quantity. This requires reliable identification, in patient plasma, of tumor-specific DNA alterations that in some cases may be present as a small fraction of the total cell-free DNA molecules. To overcome these technical challenges, we have developed an enhanced platform for tagged-amplicon deep sequencing (TAm-Seq™). Using a combination of efficient library preparation and statistically-based analysis algorithms, this platform can be used to sequence, identify and quantify cancer mutations across a gene panel including both cancer hotspots, as well as entire coding regions of selected genes. This poster will present validated performance specifications of this multi-gene ctDNA sequencing assay. To perform analytical validation, we used reference standards and plasma DNA controls to demonstrate the sensitivity, specificity and quantitative accuracy of this ctDNA analysis platform. We found that our workflow, using 4 mL input plasma, yields very high sensitivity for variants that are present at allele fraction 0.25% or higher in plasma, and retains substantial sensitivity at allele fractions as low as 0.1%. Using dilution mixtures of well-characterised reference samples, we show that the assay accurately quantifies allele fractions with precision predominantly limited by stochastic sampling. Analysis of plasma samples from control individuals demonstrates a low false positive rate. The assay also detects DNA amplifications (including in ERBB2, MYC, KRAS, EGFR, MET, FGFR1, FGFR2) when the ctDNA are sufficiently high. Together, these data demonstrate the analytical validity and robustness of the TAm-Seq assay and support its use as a basis for clinical applications. Citation Format: Davina Gale, Vincent Plagnol, Andrew Lawson, Michelle Pugh, Sarah Smalley, Karen Howarth, Mikidache Madi, Bradley Durham, Vasudev Kumanduri, Kitty Lo, James Clark, Emma Green, Nitzan Rosenfeld, Tim Forshew. Analytical performance and validation of an enhanced TAm-Seq circulating tumor DNA sequencing assay. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3639.

11533Background: Effective and non-invasive methods for actionable molecular alterations in NSCLC patients (pts) are urgently needed. Molecular profiling is often limited by access to sufficient tu...

e23040Background: Novel biomarkers are required to accurately assess tumour burden and response in cancer. In patients with relapsed high-grade serous ovarian carcinoma (HGSOC) we tested (i)if TP53...

11530Background: Serial analysis of plasma ctDNA with next generation sequencing could be used to identify patients for matched molecular therapies, to monitor the relative abundance of mutations o...

Plasma of cancer patients contains cell-free tumor DNA that carries information on tumor mutations and tumor burden. Individual mutations have been probed using allele-specific assays, but sequencing of entire genes to detect cancer mutations in circulating DNA has not been demonstrated. We developed a method for tagged-amplicon deep sequencing (TAm-Seq) and screened 5995 genomic bases for low-frequency mutations. Using this method, we identified cancer mutations present in circulating DNA at allele frequencies as low as 2%, with sensitivity and specificity of >97%. We identified mutations throughout the tumor suppressor gene TP53 in circulating DNA from 46 plasma samples of advanced ovarian cancer patients. We demonstrated use of TAm-Seq to noninvasively identify the origin of metastatic relapse in a patient with multiple primary tumors. In another case, we identified in plasma an EGFR mutation not found in an initial ovarian biopsy. We further used TAm-Seq to monitor tumor dynamics, and tracked 10 concomitant mutations in plasma of a metastatic breast cancer patient over 16 months. This low-cost, high-throughput method could facilitate analysis of circulating DNA as a noninvasive "liquid biopsy" for personalized cancer genomics.

We have used Inivata's enhanced tagged-amplicon deep sequencing (TAm-Seq™) platform to harness the power of circulating tumor DNA (ctDNA) to accurately identify low level mutations in multiple cancers, monitor the progression of disease and track patient response to therapy. We have developed an improved TAm-Seq platform, which enables detection of point mutations and indels in ctDNA with high levels of sensitivity and specificity. Our standardised TAm-Seq platform has a rapid turnaround time and is performed on plasma obtained from blood collected in a single 9mL standard EDTA tube. The TAm-Seq assay is able to analyze regions of interest (either hotspots or entire coding regions) in 35 distinct genes in the human genome with such sensitivity as to detect mutations at an allele frequency less than 1% with unpublished data demonstrating sensitivity as low as 0.1%. We performed longitudinal analyses on a series of case studies in different types of cancer to determine molecular profiles and monitor treatment response. Patient A is a stage IV NSCLC patient with bone metastases. The patient was unresponsive to initial treatment, with a suspected T790M EGFR mutation. Patient B is a BRAF V600E-positive cerebral anaplastic xanthoastrocytoma patient with first-line treatment of surgery and radiotherapy, presenting at relapse with rare multiple extra-cranial (lymph node and bone) metastases. An initial cohort of non-small cell lung cancer (NSCLC) patients, including the Patient A case study, had blood drawn at 2 time points (Day 1 and Day 21) which were analysed using TAm-Seq demonstrating clinical response correlation to reduction in mutant alleles between pre- and post-treatment. In addition to this, Patient A was confirmed by TAm-Seq as having the suspected T790M EGFR mutation at a 0.57% frequency. As tumor biopsy tissue was unavailable for testing resistant mutations in this instance, the detection of the T790M mutation by TAm-Seq enabled the patient to become eligible to receive AZD9291 off-label by special permission. The patient went on to show a complete metabolic response on PET scan. Patient B, previously presenting with a BRAF V600E mutant xanthoastrocytoma, was initiated off-label vemurafenib with ctDNA analysis detecting mutation frequency at 3.45% prior to treatment and 2.16% following 2 weeks of treatment. Follow-up samples have been collected at multiple time points for patient A and B with testing in progress. Additional case studies are in progress and all data will be presented. This work demonstrates the potential utility of using ctDNA to identify resistance mutations and monitor treatment response of a tumor when a conventional biopsy is unobtainable. It highlights the importance of high sensitivity mutation detection and analyzing multiple genomic regions, as such a high proportion of ctDNA mutations in our data were present at an allele frequency of Citation Format: Sarah K. Smalley, Davina Gale, Andrew RJ Lawson, Jordi Remon-Masip, Esperanza Perez, Michelle Pugh, Karen Howarth, Mehdi Touat, Jean-Charles Soria, Antoine Hollebecque, Benjamin Besse, Tim Forshew, Vincent Plagnol, Ludovic Lacroix, Nitzan Rosenfeld. Assessing the clinical applications of ctDNA in patients with advanced stage metastatic cancer using our enhanced TAm-Seq platform. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr B7.