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PURPOSE Pancreatic ductal adenocarcinoma (PDAC) is associated with a poor prognosis. Multianalyte signatures, including liquid biopsy and traditional clinical variables, have shown promise for improving prognostication in other solid tumors but have not yet been rigorously assessed for PDAC. MATERIALS AND METHODS We performed a prospective cohort study of patients with newly diagnosed locally advanced pancreatic cancer (LAPC) or metastatic PDAC (mPDAC) who were planned to undergo systemic therapy. We collected peripheral blood before systemic therapy and assessed circulating tumor cells (CTCs), cell-free DNA concentration (cfDNA), and circulating tumor KRAS (ctKRAS)–variant allele fraction (VAF). Association of variables with overall survival (OS) was assessed in univariate and multivariate survival analysis, and comparisons were made between models containing liquid biopsy variables combined with traditional clinical prognostic variables versus models containing traditional clinical prognostic variables alone. RESULTS One hundred four patients, 40 with LAPC and 64 with mPDAC, were enrolled. CTCs, cfDNA concentration, and ctKRAS VAF were all significantly higher in patients with mPDAC than patients with LAPC. ctKRAS VAF (cube root; 0.05 unit increments; hazard ratio, 1.11; 95% CI, 1.03 to 1.21; P = .01), and CTCs ≥ 1/mL (hazard ratio, 2.22; 95% CI, 1.34 to 3.69; P = .002) were significantly associated with worse OS in multivariate analysis while cfDNA concentration was not. A model selected by backward selection containing traditional clinical variables plus liquid biopsy variables had better discrimination of OS compared with a model containing traditional clinical variables alone (optimism-corrected Harrell's C-statistic 0.725 v 0.681). CONCLUSION A multianalyte prognostic signature containing CTCs, ctKRAS, and cfDNA concentration outperformed a model containing traditional clinical variables alone suggesting that CTCs, ctKRAS, and cfDNA provide prognostic information complementary to traditional clinical variables in advanced PDAC.

The isolation of specific subpopulations of extracellular vesicles (EVs) based on their expression of surface markers poses a significant challenge due to their nanoscale size (10-1012 EVs/mL in blood). Highly parallelized nanomagnetic sorting using track etched magnetic nanopore (TENPO) chips has achieved precise immunospecific sorting with high throughput and resilience to clogging. However, there has not yet been a systematic study of the design parameters that control the trade-offs in throughput, target EV recovery, and specificity in this approach. We combine finite-element simulation and experimental characterization of TENPO chips to elucidate design rules to isolate EV subpopulations from blood. We demonstrate the utility of this approach by increasing specificity > 10x relative to prior published designs without sacrificing recovery of the target EVs by selecting pore diameter, number of membranes placed in series, and flow rate. We compare TENPO-isolated EVs to those of gold-standard methods of EV isolation and demonstrate its utility for wide application and modularity by targeting subpopulations of EVs from multiple models of disease including lung cancer, pancreatic cancer, and liver cancer.

Supplementary Data from MYC Levels Regulate Metastatic Heterogeneity in Pancreatic Adenocarcinoma

The degree of metastatic disease varies widely among patients with cancer and affects clinical outcomes. However, the biological and functional differences that drive the extent of metastasis are poorly understood. We analyzed primary tumors and paired metastases using a multifluorescent lineage-labeled mouse model of pancreatic ductal adenocarcinoma (PDAC)—a tumor type in which most patients present with metastases. Genomic and transcriptomic analysis revealed an association between metastatic burden and gene amplification or transcriptional upregulation of MYC and its downstream targets. Functional experiments showed that MYC promotes metastasis by recruiting tumor-associated macrophages, leading to greater bloodstream intravasation. Consistent with these findings, metastatic progression in human PDAC was associated with activation of MYC signaling pathways and enrichment for MYC amplifications specifically in metastatic patients. Collectively, these results implicate MYC activity as a major determinant of metastatic burden in advanced PDAC.Significance:Here, we investigate metastatic variation seen clinically in patients with PDAC and murine PDAC tumors and identify MYC as a major driver of this heterogeneity.This article is highlighted in the In This Issue feature, p. 275

Supplementary Figure from MYC Levels Regulate Metastatic Heterogeneity in Pancreatic Adenocarcinoma

Supplementary Tables 1-3 Supplementary Table 1: Characteristics of P/LP BRCA1, BRCA2, PALB2, and ATM carriers who underwent EUS. Supplementary Table 2: Non-EUS imaging in P/LP BRCA1, BRCA2, PALB2, and ATM carriers without a family history of PDAC. Supplementary Table 3: Pancreatic findings from MRI/CT in P/LP BRCA1, BRCA2, PALB2, and ATM carriers.

Carriers of a pathogenic/likely pathogenic (P/LP) BRCA1/BRCA2/ATM/PALB2 variant are at increased risk of pancreatic ductal adenocarcinoma (PDAC), yet current guidelines recommend surveillance only for those with a family history of PDAC. We aimed to investigate outcomes of endoscopic ultrasound (EUS)–based PDAC surveillance in BRCA1/BRCA2/ATM/PALB2 carriers without a family history of PDAC. We performed a retrospective analysis of all P/LP BRCA1/BRCA2/ATM/PALB2 carriers who underwent EUS at a tertiary care center. Of 194 P/LP BRCA1/BRCA2/ATM/PALB2 carriers who underwent EUS, 64 (33%) had no family history of PDAC and had at least 1 EUS for PDAC surveillance. These individuals underwent 143 total EUSs, were predominantly female (72%), and BRCA2 carriers (73%), with the majority having a personal history of cancer other than PDAC (67%). The median age at time of first EUS was 62 years [interquartile range (IQR), 53–67 years] and a median of 2 EUSs (IQR 1–3) were performed per patient, with a median of 3 years (IQR 2–4.5 years) between the first and last EUS for those with more than 1 EUS. Pancreatic abnormalities were detected in 44%, including cysts in 27%, and incidental luminal abnormalities in 41%. Eight percent developed a new pancreatic mass or cyst during surveillance, 2 individuals developed PDAC, and no serious complications resulted from surveillance. After discussion of the risks, limitations, and potential benefits, PDAC surveillance can be considered in BRCA1/BRCA2/ATM/PALB2 carriers without a family history of PDAC; however, the effectiveness of PDAC surveillance in this population requires further study.Prevention Relevance:BRCA1/BRCA2/ATM/PALB2 carriers have increased pancreatic ductal adenocarcinoma (PDAC) risk, yet are typically not eligible for PDAC surveillance in the absence of PDAC family history. Herein we describe outcomes of PDAC surveillance in BRCA1/BRCA2/ATM/PALB2 carriers without a family history of PDAC, showing that PDAC surveillance can be considered in this high-risk group.

Analysis of peripheral blood leukocyte composition among patients with progression and non-progression as best response

Supplementary Table 1

Metal Conjugated Antibodies for Mass Cytometry Analysis

Supplementary Figure 1

Supplementary Methods

Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed too late for effective therapy. The classic strategy for early detection biomarker advancement consists of initial retrospective phases of discovery and validation with tissue samples taken from individuals diagnosed with disease, compared with controls. Using this approach, we previously reported the discovery of a blood biomarker panel consisting of thrombospondin-2 (THBS2) and CA19-9 that together could discriminate resectable stage I and IIa PDAC as well as stages III and IV PDAC, with c-statistic values in the range of 0.96 to 0.97 in two phase II studies. We now report that in two studies of blood samples prospectively collected from 1 to 15 years prior to a PDAC diagnosis (Mayo Clinic and PLCO cohorts), THBS2 and/or CA19-9 failed to discriminate cases from healthy controls at the AUC = 0.8 needed. We conclude that PDAC progression may be heterogeneous and for some individuals can be more rapid than generally appreciated. It is important that PDAC early-detection studies incorporate high-risk, prospective prediagnostic cohorts into discovery and validation studies.Prevention Relevance: A blood biomarker panel of THBS2 and CA19-9 detects early stages of pancreatic ductal adenocarcinoma at diagnosis, but not when tested across a population up to 1 year earlier. Our findings suggest serial sampling over time, using prospectively collected samples for biomarker discovery, and more frequent screening of high-risk individuals.

Supplementary Figure 2 - PDF file 55K, Neuroblastoma tissue microarray. A tissue microarray demonstrates expression of RB in neuroblastoma that is higher in high-risk and MYCN amplified samples compared to low-risk or non-amplified samples (p = 0.03)

Available therapies and clinical trials

Tissue fusion transcript panel gene coverage (55 genes)

Purpose:The clinical utility of plasma cell-free DNA (cfDNA) has not been assessed prospectively in patients with glioblastoma (GBM). We aimed to determine the prognostic impact of plasma cfDNA in GBM, as well as its role as a surrogate of tumor burden and substrate for next-generation sequencing (NGS).Experimental Design:We conducted a prospective cohort study of 42 patients with newly diagnosed GBM. Plasma cfDNA was quantified at baseline prior to initial tumor resection and longitudinally during chemoradiotherapy. Plasma cfDNA was assessed for its association with progression-free survival (PFS) and overall survival (OS), correlated with radiographic tumor burden, and subjected to a targeted NGS panel.Results:Prior to initial surgery, GBM patients had higher plasma cfDNA concentration than age-matched healthy controls (mean 13.4 vs. 6.7 ng/mL, P < 0.001). Plasma cfDNA concentration was correlated with radiographic tumor burden on patients' first post-radiation magnetic resonance imaging scan (ρ = 0.77, P = 0.003) and tended to rise prior to or concurrently with radiographic tumor progression. Preoperative plasma cfDNA concentration above the mean (>13.4 ng/mL) was associated with inferior PFS (median 4.9 vs. 9.5 months, P = 0.038). Detection of ≥1 somatic mutation in plasma cfDNA occurred in 55% of patients and was associated with nonstatistically significant decreases in PFS (median 6.0 vs. 8.7 months, P = 0.093) and OS (median 5.5 vs. 9.2 months, P = 0.053).Conclusions:Plasma cfDNA may be an effective prognostic tool and surrogate of tumor burden in newly diagnosed GBM. Detection of somatic alterations in plasma is feasible when samples are obtained prior to initial surgical resection.

Significantly enriched pathways from the 11 identified miRNA markers.

Supplementary Figure 5 - PDF file 138K, CDK4/6 inhibition does not induce cytotoxicity in neuroblastoma. (A) Caspase 3/7 activation and (B) PARP cleavage were not observed in cell lines with demonstrated sensitivity to LEE011. SN38, a known cytotoxic agent, was used as a positive control

Supplementary Table 1 - PDF file 78K, Genomic aberrations in the Cyclin D/CDK4/CDK6/RB pathway occur frequently in neuroblastoma cell lines

Mutations Analyzed

Allelic fractions for all variants detected in tDNA and ctDNA* in patients for whom both plasma and tissue samples were obtained (n=50)

Summary of driver and resistance mutations in EGFR and ALK detected in ctDNA, tDNA, and both ctDNA and tDNA

Supplementary Figure 4 - PDF file 88K, Protein level expression of FOXM1 in neuroblastoma

Tissue next-generation sequencing gene coverage. A: Illumina TruSeq panel (47 genes), and B: Penn Precision Panel (20 genes)

Purpose:The role of plasma-based tumor mutation burden (pTMB) in predicting response to pembrolizumab-based first-line standard-of-care therapy for metastatic non–small cell lung cancer (mNSCLC) has not been explored.Experimental Design:A 500-gene next-generation sequencing panel was used to assess pTMB. Sixty-six patients with newly diagnosed mNSCLC starting first-line pembrolizumab-based therapy, either alone or in combination with chemotherapy, were enrolled (Clinicaltrial.gov identifier: NCT03047616). Response was assessed using RECIST 1.1. Associations were made for patient characteristics, 6-month durable clinical benefit (DCB), progression-free survival (PFS), and overall survival (OS).Results:Of 66 patients, 52 (78.8%) were pTMB-evaluable. Median pTMB was 16.8 mutations per megabase (mut/Mb; range, 1.9–52.5) and was significantly higher for patients achieving DCB compared with no durable benefit (21.3 mut/Mb vs. 12.4 mut/Mb, P = 0.003). For patients with pTMB ≥ 16 mut/Mb, median PFS was 14.1 versus 4.7 months for patients with pTMB < 16 mut/Mb [HR, 0.30 (0.16–0.60); P < 0.001]. Median OS for patients with pTMB ≥ 16 was not reached versus 8.8 months for patients with pTMB < 16 mut/Mb [HR, 0.48 (0.22–1.03); P = 0.061]. Mutations in ERBB2 exon 20, STK11, KEAP1, or PTEN were more common in patients with no DCB. A combination of pTMB ≥ 16 and absence of negative predictor mutations was associated with PFS [HR, 0.24 (0.11–0.49); P < 0.001] and OS [HR, 0.31 (0.13–0.74); P = 0.009].Conclusions:pTMB ≥ 16 mut/Mb is associated with improved PFS after first-line standard-of-care pembrolizumab-based therapy in mNSCLC. STK11/KEAP1/PTEN and ERBB2 mutations may help identify pTMB-high patients unlikely to respond. These results should be validated in larger prospective studies.

Analysis of discordant EGFR driver and resistance mutations detected in tDNA or ctDNA

Figure S1. Sample cohort of this study, which included 204 subjects in total. Workflow shows patient cohorts involved in each classification. * indicated 8 patients repeated in the discovery set and the training set. ** indicated 32 locally advanced patients that were not used in the occult metastases detection as training set did not have locally advanced PDAC patients.

pTMBand PD-L1 expression levels.

All mutations detected in patient ctDNA (n=102)

Supplementary Figure 1 - PDF file 56K, Expression of CDK4, CDK6, CCND1, and RB1 in neuroblastoma patients. Expression analysis of neuroblastoma primary tumors demonstrates that CDK4 expression, and to a lesser extent RB1 expression, is higher in high-risk neuroblastoma patients than in low risk patients

Purpose: Neuroblastoma is a pediatric cancer that continues to exact significant morbidity and mortality. Recently, a number of cell-cycle proteins, particularly those within the Cyclin D/CDK4/CDK6/RB network, have been shown to exert oncogenic roles in neuroblastoma, suggesting that their therapeutic exploitation might improve patient outcomes.Experimental Procedures: We evaluated the effect of dual CDK4/CDK6 inhibition on neuroblastoma viability using LEE011 (Novartis Oncology), a highly specific CDK4/6 inhibitor.Results: Treatment with LEE011 significantly reduced proliferation in 12 of 17 human neuroblastoma-derived cell lines by inducing cytostasis at nanomolar concentrations (mean IC50 = 307 ± 68 nmol/L in sensitive lines). LEE011 caused cell-cycle arrest and cellular senescence that was attributed to dose-dependent decreases in phosphorylated RB and FOXM1, respectively. In addition, responsiveness of neuroblastoma xenografts to LEE011 translated to the in vivo setting in that there was a direct correlation of in vitro IC50 values with degree of subcutaneous xenograft growth delay. Although our data indicate that neuroblastomas sensitive to LEE011 were more likely to contain genomic amplification of MYCN (P = 0.01), the identification of additional clinically accessible biomarkers is of high importance.Conclusions: Taken together, our data show that LEE011 is active in a large subset of neuroblastoma cell line and xenograft models, and supports the clinical development of this CDK4/6 inhibitor as a therapy for patients with this disease. Clin Cancer Res; 19(22); 6173–82. ©2013 AACR.

Circulating tumor DNA next-generation sequencing gene coverage

Supplementary Figure 6 - PDF file 75K, Statistical analysis of in vivo growth suppression. (A) Growth rates of BE2C, 1643, and EBC1 xenografts treated with 200 mg/kg LEE011 or vehicle, as determined by linear mixed effects analysis. (B) Summary table of statistics

Workflow and the corresponding result.

Supplementary Table 2 - PDF file 48KB, Copy number variations within the Cyclin D/CDK4/CDK6/RB pathway occur in high-risk neuroblastoma patients

Total amount of cfDNA extracted from each patient sample

Plasma cell-free DNA (cfDNA) concentration (ng/mL) is correlated with (A), total radiographic tumor burden (contrast-enhancing tumor + T2/FLAIR non-enhancing tumor) and (B), contrast-enhancing tumor burden at the first post-radiation MRI scan in patients with newly diagnosed glioblastoma

Improved diagnostics for pancreatic ductal adenocarcinoma (PDAC) to detect the disease at earlier, curative stages and to guide treatments is crucial to progress against this disease. The development of a liquid biopsy for PDAC has proven challenging due to the sparsity and variable phenotypic expression of circulating biomarkers. Here we report methods we developed for isolating specific subsets of extracellular vesicles (EV) from plasma using a novel magnetic nanopore capture technique. In addition, we present a workflow for identifying EV miRNA biomarkers using RNA sequencing and machine-learning algorithms, which we used in combination to classify distinct cancer states. Applying this approach to a mouse model of PDAC, we identified a biomarker panel of 11 EV miRNAs that could distinguish mice with PDAC from either healthy mice or those with precancerous lesions in a training set of n = 27 mice and a user-blinded validation set of n = 57 mice (88% accuracy in a three-way classification). These results provide strong proof-of-concept support for the feasibility of using EV miRNA profiling and machine learning for liquid biopsy.Significance: These findings present a panel of extracellular vesicle miRNA blood-based biomarkers that can detect pancreatic cancer at a precancerous stage in a transgenic mouse model. Cancer Res; 78(13); 3688–97. ©2018 AACR.

Purpose: The expanding number of targeted therapeutics for non–small cell lung cancer (NSCLC) necessitates real-time tumor genotyping, yet tissue biopsies are difficult to perform serially and often yield inadequate DNA for next-generation sequencing (NGS). We evaluated the feasibility of using cell-free circulating tumor DNA (ctDNA) NGS as a complement or alternative to tissue NGS.Experimental Design: A total of 112 plasma samples obtained from a consecutive study of 102 prospectively enrolled patients with advanced NSCLC were subjected to ultra-deep sequencing of up to 70 genes and matched with tissue samples, when possible.Results: We detected 275 alterations in 45 genes, and at least one alteration in the ctDNA for 86 of 102 patients (84%), with EGFR variants being most common. ctDNA NGS detected 50 driver and 12 resistance mutations, and mutations in 22 additional genes for which experimental therapies, including clinical trials, are available. Although ctDNA NGS was completed for 102 consecutive patients, tissue sequencing was only successful for 50 patients (49%). Actionable EGFR mutations were detected in 24 tissue and 19 ctDNA samples, yielding concordance of 79%, with a shorter time interval between tissue and blood collection associated with increased concordance (P = 0.038). ctDNA sequencing identified eight patients harboring a resistance mutation who developed progressive disease while on targeted therapy, and for whom tissue sequencing was not possible.Conclusions: Therapeutically targetable driver and resistance mutations can be detected by ctDNA NGS, even when tissue is unavailable, thus allowing more accurate diagnosis, improved patient management, and serial sampling to monitor disease progression and clonal evolution. Clin Cancer Res; 22(23); 5772–82. ©2016 AACR.