Sequencing Of Cell-free DNA Research Articles

Clinical evaluation of cell-free and cellular metagenomic next-generation sequencing of infected body fluids

IntroductionPrevious studies have evaluated metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) for pathogen detection in blood and body fluid samples. However, no study has assessed the diagnostic efficacy of mNGS using cellular DNA. ObjectivesThis is the first study to systematically evaluate the efficacy of cfDNA and cellular DNA mNGS for pathogen detection. MethodsA panel of seven microorganisms was used to compare cfDNA and cellular DNA mNGS assays concerning limits of detection (LoD), linearity, robustness to interference, and precision. In total, 248 specimens were collected between December 2020 and December 2021. The medical records of all the patients were reviewed. These specimens were analysed using cfDNA and cellular DNA mNGS assays, and the mNGS results were confirmed using viral qPCR, 16S rRNA, and internal transcribed spacer (ITS) amplicon next-generation sequencing. ResultsThe LoD of cfDNA and cellular DNA mNGS was 9.3 to 149 genome equivalents (GE)/mL and 27 to 466 colony-forming units (CFU)/mL, respectively. The intra- and inter-assay reproducibility of cfDNA and cellular DNA mNGS was 100%. Clinical evaluation revealed that cfDNA mNGS was good at detecting the virus in blood samples (receiver operating characteristic (ROC) area under the curve (AUC), 0.9814). In contrast, the performance of cellular DNA mNGS was better than that of cfDNA mNGS in high host background samples. Overall, the diagnostic efficacy of cfDNA combined with cellular DNA mNGS (ROC AUC, 0.8583) was higher than that of cfDNA (ROC AUC, 0.8041) or cellular DNA alone (ROC AUC, 0.7545). ConclusionOverall, cfDNA mNGS is good for detecting viruses, and cellular DNA mNGS is suitable for high host background samples. The diagnostic efficacy was higher when cfDNA and cellular DNA mNGS were combined.

Liquid Biopsies for Circulating Tumor DNA Detection May Reveal Occult Hematologic Malignancies in Patients With Solid Tumors.

High-risk clonal hematopoiesis (CH) is frequently incidentally found in patients with solid tumors undergoing plasma cell-free DNA sequencing. Here, we aimed to determine if the incidental detection of high-risk CH by liquid biopsy may reveal occult hematologic malignancies in patients with solid tumors. Adult patients with advanced solid cancers enrolled in the Gustave Roussy Cancer Profiling study (ClinicalTrials.gov identifier: NCT04932525) underwent at least one liquid biopsy (FoundationOne Liquid CDx). Molecular reports were discussed within the Gustave Roussy Molecular Tumor Board (MTB). Potential CH alterations were observed, and patients referred to hematology consultation in the case of pathogenic mutations in JAK2, MPL, or MYD88, irrespective of the variant allele frequency (VAF), or in DNMT3A, TET2, ASXL1, IDH1, IDH2, SF3B1, or U2AF1 with VAF ≥ 10%, while also considering patient cancer-related prognosis. TP53 mutations were discussed case-by-case. Between March and October 2021, 1,416 patients were included. One hundred ten patients (7.7%) carried at least one high-risk CH mutation: DNMT3A (n = 32), JAK2 (n = 28), TET2 (n = 19), ASXL1 (n = 18), SF3B1 (n = 5), IDH1 (n = 4), IDH2 (n = 3), MPL (n = 3), and U2AF1 (n = 2). The MTB advised for hematologic consultation in 45 patients. Overall, 9 patients of 18 actually addressed had confirmed hematologic malignancies that were occult in six patients: two patients had myelodysplastic syndrome, two essential thrombocythemia, one a marginal lymphoma, and one a Waldenström macroglobulinemia. The other three patients were already followed up in hematology. The incidental findings of high-risk CH through liquid biopsy may trigger diagnostic hematologic tests and reveal an occult hematologic malignancy. Patients should have a multidisciplinary case-by-case evaluation.

Methylated Cell-Free DNA Sequencing (MeD-seq) of LpnPI Digested Fragments to Identify Early Progression in Metastatic Renal Cell Carcinoma Patients on Watchful Waiting

According to the current guidelines, watchful waiting (WW) is a feasible option for patients with good or intermediate prognosis renal-cell carcinoma (RCC). However, some patients rapidly progress during WW, requiring the initiation of treatment. Here, we explore whether we can identify those patients using circulating cell-free DNA (cfDNA) methylation. We first defined a panel of RCC-specific circulating methylation markers by intersecting differentially methylated regions from a publicly available dataset with known RCC methylation markers from the literature. The resulting RCC-specific methylation marker panel of 22 markers was subsequently evaluated for an association with rapid progression by methylated DNA sequencing (MeD-seq) in serum from 10 HBDs and 34 RCC patients with a good or intermediate prognosis starting WW in the IMPACT-RCC study. Patients with an elevated RCC-specific methylation score compared to HBDs had a shorter progression-free survival (PFS, p = 0.018), but not a shorter WW-time (p = 0.15). Cox proportional hazards regression showed that only the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria were significantly associated with WW time (HR 2.01, p = 0.01), whereas only our RCC-specific methylation score (HR 4.45, p = 0.02) was significantly associated with PFS. The results of this study suggest that cfDNA methylation is predictive of PFS but not WW.

Combined low-pass whole genome and targeted sequencing in liquid biopsies for pediatric solid tumors

We designed a liquid biopsy (LB) platform employing low-pass whole genome sequencing (LP-WGS) and targeted sequencing of cell-free (cf) DNA from plasma to detect genome-wide copy number alterations (CNAs) and gene fusions in pediatric solid tumors. A total of 143 plasma samples were analyzed from 19 controls and 73 patients, including 44 bone or soft-tissue sarcomas and 12 renal, 10 germ cell, five hepatic, and two thyroid tumors. cfDNA was isolated from plasma collected at diagnosis, during and after therapy, and/or at relapse. Twenty-six of 37 (70%) patients enrolled at diagnosis without prior therapy (radiation, surgery, or chemotherapy) had circulating tumor DNA (ctDNA), based on the detection of CNAs from LP-WGS, including 18 of 27 (67%) patients with localized disease and eight of 10 (80%) patients with metastatic disease. None of the controls had detectable somatic CNAs. There was a high concordance of CNAs identified by LP-WGS to CNAs detected by chromosomal microarray analysis in the matching tumors. Mutations identified in tumor samples with our next-generation sequencing (NGS) panel, OncoKids®, were also detected by LP-WGS of ctDNA in 14 of 26 plasma samples. Finally, we developed a hybridization-based capture panel to target EWSR1 and FOXO1 fusions from patients with Ewing sarcoma or alveolar rhabdomyosarcoma (ARMS), respectively. Fusions were detected in the plasma from 10 of 12 patients with Ewing sarcoma and in two of two patients with ARMS. Combined, these data demonstrate the clinical applicability of our LB platform to evaluate pediatric patients with a variety of solid tumors.

Integrated, Longitudinal Analysis of Cell-free DNA in Uveal Melanoma.

Here, we demonstrate integrated, longitudinal cfDNA sequencing using multi-omic approaches is more effective than unimodal analysis. This approach supports the use of frequent blood testing using comprehensive genomic, fragmentomic, and epigenomic techniques.

Plasma circulating tumor DNA profiling in patients with chemo-refractory germ cell tumors.

Molecular analysis of tumor tissues has been extensively analyzed in germ cell tumors. However, genetic analysis of plasma circulating tumor DNA has been limited. Our objective was to analyze genetic alterations in circulating tumor DNA as well as its impact on prognosis in patients with chemo-refractory germ cell tumors. We included 13 patients with chemo-refractory germ cell tumors who relapsed after second-line or higher previous chemotherapy and performed targeted sequencing of plasma cell-free DNA using an AVENIO Expanded kit. Tumor-specific genetic alterations were identified in all patients. The most frequently mutated gene was TP53 (53.4%), followed by PTEN (23.1%), GNAS (15.4%) and MTOR (15.4%). Moreover, EGFR amplification (38.5%) and MET amplification (15.4%) were also identified. We defined two or more single nucleotide variants detected in plasma cell-free DNA as circulating tumor DNA-positive. Kaplan-Meier analysis revealed that overall survival was significantly shorter in circulating tumor DNA-positive patients than circulating tumor DNA negative-patients (median overall survival 3.13 vs. 8.73 months; p=0.042). Analysis of plasma circulating tumor DNA could detect genetic alterations in patients with chemo-refractory GCT. Moreover, detectable circulating tumor DNA in plasma was associated with poor prognosis in those patients. These results suggest that liquid biopsy using analysis of plasma circulating tumor DNA may be clinically useful for germ cell tumor patients.

A retrospective study of circulating tumor DNA for minimal residual disease detection in the management of colorectal cancer.

227 Background: Circulating tumor DNA (ctDNA) consists of small fragments of DNA released into the plasma from cancer cells. Tumor informed ctDNA testing by whole exome sequencing of the primary tumor coupled with multiplex polymerase chain reaction (PCR)-based next generation sequencing of cell free DNA in serum, can detect and quantify ctDNA, allowing for detection of minimal residual disease (MRD). Methods: We conducted a retrospective analysis of 120 patients with colorectal cancer who had at least one tumor-informed ctDNA MRD assay completed between May 6, 2019, and July 1, 2022, at Mayo Clinic, Rochester. Disease recurrence was defined as radiographic evidence consistent with recurrence with or without biopsy confirmation. Data are presented descriptively, including number of ctDNA assays completed, ctDNA positivity prior to disease recurrence, and ctDNA concordance with carcinoembryonic antigen (CEA). The study protocol was exempt after review by the Mayo Clinic Institutional Review Board. Results: One-hundred twenty patients were included in the study with median age at initial disease diagnosis of 67.0 years. Sixty-four percent were male and 94% were white. At time of initial diagnosis, 10 had stage I, 23 stage II, 60 stage III, and 25 stage IV disease. In 120 patients, 476 ctDNA assays were performed, and 110 recurrences were observed among 62 patients. There were 39 instances in which ctDNA was obtained prior to clinical detection of recurrence and of these, at least one ctDNA assay was positive in 28 cases (72%). CEA was obtained prior to recurrence in 88 instances and was elevated in only 39 cases (44%). Among 37 instances where both ctDNA and CEA testing were obtained prior to recurrence, ctDNA was positive in 27 cases (73%) while CEA was positive in 14 cases (38%). ctDNA was positive in 83% of recurrences involving liver and 62.5% of recurrences involving only the lungs. ctDNA and CEA positivity are shown by location of recurrence. ctDNA and CEA were discordant in 44% of instances in which the assays were completed within 2-weeks of each other. Results of a ctDNA assay impacted management decisions in 16% of cases. Conclusions: ctDNA detected 72% of recurrences with higher rates of detection in liver versus lung metastasis. ctDNA performed superiorly to serum CEA in detection of recurrence, suggesting a role in disease surveillance. However, ctDNA impacted disease management in only 16% of patients, suggesting need for better patient selection and further study for ctDNA-based disease management strategy (more details will be reported). [Table: see text]

446 - Meta-Analysis of Diagnostic Performance of Next Generation Sequencing of Plasma Microbial Cell-Free DNA for Infections in Hematopoietic Stem Cell Transplant Recipients

446 - Meta-Analysis of Diagnostic Performance of Next Generation Sequencing of Plasma Microbial Cell-Free DNA for Infections in Hematopoietic Stem Cell Transplant Recipients

Analysis of plasma circulating tumor DNA in borderline resectable pancreatic ductal adenocarcinoma treated with neoadjuvant modified FOLFIRINOX: Clinical relevance of DNA damage repair gene alterations.

737 Background: There is no reliable biomarker to guide treatment for patient with borderline resectable pancreatic ductal adenocarcinoma (PDAC) treated with neoadjuvant modified (m)FOLFIRINOX. We investigated the role of plasma circulating tumor DNA (ctDNA) sequencing to discover potential biomarkers for patients treated with neoadjuvant mFOLFIRINOX in our phase 2 clinical trial (ClinicalTrials.gov identifier: NCT02749136). Methods: Among 44 patients enrolled in the trial, patients with plasma ctDNA analysis performed at baseline or post-operative period were included in the analysis. Plasma cell-free DNA isolation and sequencing of ctDNA were performed using the Guardant 360 assay. Association of clinical outcomes with germline or somatic mutations of DNA damage repair (DDR) genes was analyzed. Somatic alterations other than DDR genes were also analyzed to find potential biomarkers of neoadjuvant mFOLFIRINOX. Progression free-survival (PFS) was defined as time from the initiation of mFOLFIRINOX to disease progression or any cause of death. Overall survival (OS) was defined as the time from the initiation of mFOLFIRINOX to any cause of death. Results: Among 44 patients, 28 patients had ctDNA sequencing data qualified for the analysis and were included in this study (15 patients with baseline data only, 3 patients with post-operative data only, and 10 patients with both baseline and post-operative data). Median age was 59 (range, 41-73) years and 15 patients (53.6%) were male. Among 25 patients with baseline plasma ctDNA data, 11 patients (44%) had somatic or germline alteration of DDR genes detected at baseline including ATM, BRCA1, BRCA2 and MLH1, and showed significantly better PFS than those without such DDR gene alterations (median 26.6 vs. 13.5 months, log-rank p = 0.004). Although there was a trend for better OS in patients with DDR gene alterations, this was not statistically significant (log-rank p = 0.29). The most observed baseline somatic alteration was TP53 (n = 7, 28%), followed by KRAS (n = 6, 24%). Patients with somatic KRAS mutation at baseline had significantly worse OS (median 8.5 months vs. not applicable, log-rank p = 0.003) than those without. Among 13 patients with post-operative plasma ctDNA data, 8 patients (61.5%) had detectable somatic alterations. Conclusions: Detection of germline or somatic mutations of DDR genes from plasma ctDNA at baseline was associated with better survival outcomes of patients with borderline resectable PDAC treated with neoadjuvant mFOLFIRINOX. Detection of DDR gene alterations from plasma ctDNA may have a potential role as biomarker for prognosis in patients with borderline resectable PDAC treated with mFOLFIRINOX.

Diagnosis of Neurological Infections in Pediatric Patients from Cell-Free DNA Specimens by Using Metagenomic Next-Generation Sequencing.

Central nervous system (CNS) infections can cause significant morbidity and mortality, especially in children. Rapid and accurate pathogenic detection in suspected CNS infections is essential for disease control at the early stage of infection. To evaluate the performance of metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) in cerebrospinal fluid (CSF) in pediatric patients, we retrospectively analyzed the efficiency of cfDNA mNGS in children with CNS infections (n = 257) or noninfectious neurological disorders (n = 81). The CSF samples of 124 random subjects were used to evaluate the accuracy between mNGS of cfDNA and whole-cell DNA (wcDNA). In total, cfDNA mNGS detected a wide range of microbes with a detection rate of 71.0%, and the sensitivity and total coincidence rate with clinical diagnosis reached 68.9% and 67.5%, respectively. Compared with wcDNA mNGS, cfDNA mNGS had a higher efficacy in detecting viruses (66 versus 13) and Mycobacterium (7 versus 1), with significantly higher reads per million. The dominant causative pathogens were bacteria and viruses in CNS infections, but these presented with different pathogen spectra in different age categories. The best timing for the mNGS test ranged from 1 to 6 days after the start of anti-infection therapy, and the earlier mNGS started, the better was identification of bacterial CNS infections. This study emphasized that cfDNA mNGS had overall superiority to conventional methods on causative pathogen detection in pediatric CNS infections, and it was even better than wcDNA mNGS. Furthermore, research needs to be better validated in large-scale clinical trials to improve the clinical applications of cfDNA mNGS. IMPORTANCE Our study emphasized that cfDNA mNGS had overall superiority to conventional methods on causative pathogen detection in CNS-infected children, and it was even better than wcDNA mNGS. cfDNA mNGS detected a wide range of pathogens with a high total coincidence rate (67.5%) against clinical diagnosis. The best timing for cfDNA mNGS detection ranged from 1 to 6 days, rather than 0 days, after the start of empirical anti-infection therapy. The earlier mNGS started, the better the identifications of bacterial CNS infections. To the best of our knowledge, this research is the first report evaluating the clinical utility of mNGS with different methods (cfDNA versus wcDNA) of extracting DNA from CSF specimens in diagnosing pediatric CNS infections. Meanwhile, this is the largest cohort study that has evaluated the performance of mNGS using cfDNA from CSF specimens in pediatric patients with CNS infections.

Shallow Whole-Genome Sequencing of Cell-Free DNA (cfDNA) Detects Epithelial Ovarian Cancer and Predicts Patient Prognosis.

Despite the progress in diagnostics and therapeutics, epithelial ovarian cancer (EOC) remains a fatal disease. Using shallow whole-genome sequencing of plasma cell-free DNA (cfDNA), we investigated biomarkers that could detect EOC and predict survival. Plasma cfDNA from 40 EOC patients and 20 healthy subjects were analyzed by shallow whole-genome sequencing (WGS) to identify copy number variations (CNVs) and determine the Z-scores of genes. In addition, we also calculated the genome-wide scores (Gi scores) to quantify chromosomal instability. We found that the Gi scores could distinguish EOC patients from healthy subjects and identify various EOC histological subtypes (e.g., high-grade serous carcinoma). In addition, we characterized EOC CNVs and demonstrated a relationship between RAB25 amplification (alone or with CA125), and disease-free survival and overall survival. This study identified RAB25 amplification as a predictor of EOC patient survival. Moreover, we showed that Gi scores could detect EOC. These data demonstrated that cfDNA, detected by shallow WGS, represented a potential tool for diagnosing EOC and predicting its prognosis.

Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA

BackgroundEpigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis.ResultsThrough mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples.ConclusionFiltering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity.

Cell-free plasma next-generation sequencing assists in the evaluation of secondary pneumonia in patients with COVID-19: a case series.

Secondary pneumonia occurs in 8-24% of patients with Coronavirus 2019 (COVID-19) infection and is associated with increased morbidity and mortality. Diagnosis of secondary pneumonia can be challenging. The purpose of this study was to evaluate the use of plasma microbial cell free DNA sequencing (mcfNGS) in the evaluation of secondary pneumonia after COVID-19. We performed a single-center case series of patients with COVID-19 who underwent mcfNGS to evaluate secondary pneumonia and reported the organisms identified, concordance with available tests, clinical utility, and outcomes. In 8/13 (61%) cases, mcfNGS detected 1-6 organisms, with clinically significant organisms identified in 4 cases, including Pneumocystis jirovecii, and Legionella spp. Management was changed in 85% (11/13) of patients based on results, including initiation of targeted therapy, de-escalation of empiric antimicrobials, and avoiding contingent escalation of antifungals. mcfNGS may be helpful to identify pathogens causing secondary pneumonia, including opportunistic pathogens in immunocompromised patients with COVID-19. However, providers need to carefully interpret this test within the clinical context.

Low-pass whole-genome and targeted sequencing of cell-free DNA from cerebrospinal fluid in pediatric patients with central nervous system tumors.

Central nervous system tumors are the most common pediatric solid tumors and the most frequent cause of cancer-related morbidity in childhood. Significant advances in understanding the molecular features of these tumors have facilitated the development of liquid biopsy assays that may aid in diagnosis and monitoring response to therapy. In this report, we describe our comprehensive liquid biopsy platform for detection of genome-wide copy number aberrations, sequence variants, and gene fusions using cerebrospinal fluid (CSF) from pediatric patients with brain, spinal cord, and peripheral nervous system tumors. Cell-free DNA was isolated from the CSF from 55 patients, including 47 patients with tumors and 8 controls. Abnormalities in cell-free DNA were detected in 24 (51%) patients including 11 with copy number alterations, 9 with sequence variants, and 7 with KIAA1549::BRAF fusions. Positive findings were obtained in patients spanning histologic subtypes, tumor grades, and anatomic locations. This study demonstrates the feasibility of employing this platform in routine clinical care in upfront diagnostic and monitoring settings. Future studies are required to determine the utility of this approach for assessing response to therapy and long-term surveillance.

Problems with etiologic diagnosis of community-acquired pneumonia using plasma microbial cell-free DNA sequencing.

Problems with etiologic diagnosis of community-acquired pneumonia using plasma microbial cell-free DNA sequencing.

Noninvasive detection of brain gliomas using plasma cell-free DNA 5-hydroxymethylcytosine sequencing.

Liquid biopsy techniques based on deep sequencing of plasma cell-free DNA (cfDNA) could detect the low-frequency somatic mutations and provide an accurate diagnosis for many cancers. However, for brain gliomas, reliable performance of these techniques currently requires obtaining cfDNA from patients' cerebral spinal fluid, which is cumbersome and risky. Here we report a liquid biopsy method based on sequencing of plasma cfDNA fragments carrying 5-hydroxymethylcytosine (5hmC) using selective chemical labeling (hMe-Seal). We first constructed a dataset including 180 glioma patients and 229 non-glioma controls. We found marked concordance between cfDNA hydroxymethylome and the aberrant transcriptome of the underlying gliomas. Functional analysis also revealed overrepresentation of the differentially hydroxymethylated genes (DhmGs) in oncogenic and neural pathways. After splitting our dataset into training and test cohort, we showed that a penalized logistic model constructed with training set DhmGs could distinguish glioma patients from healthy controls in both our test set (AUC=0.962) and an independent dataset (AUC=0.930) consisting of 111 gliomas and 111 controls. Additionally, the DhmGs between gliomas with mutant and wild-type isocitrate dehydrogenase (IDH) could be used to train a cfDNA predictor of the IDH mutation status of the underlying tumor (AUC=0.816), and patients with predicted IDH mutant gliomas had significantly better outcome (P=.01). These results indicate that our plasma cfDNA 5hmC sequencing method could obtain glioma-specific signals, which may be used to noninvasively detect these patients and predict the aggressiveness of their tumors.

1339. Utility of Next Generation Sequencing Cell Free DNA Testing in Pediatric Patients for Diagnosis and Excluding Infection

Abstract Background Next-generation sequencing of microbial cell-free DNA (NGS cfDNA) testing has the potential to quickly diagnose multiple pathogen types. Negative predictive value of NGS cfDNA is not well characterized, but this test has been described as helpful in excluding infection diagnosis. Methods This is a retrospective chart review study of 93 consecutive patients with first-time NGS cfDNA testing at a freestanding children’s hospital. Case results and exclusion are in figure 1. Each case was manually reviewed and then adjudicated as useful or not useful to the plan of care by two providers for agreement. Demographics, health history, diagnostics, and treatments were reviewed. Test results were considered useful if the NGS cfDNA test identified the causal pathogen and resulted before conventional testing, or if the test was actionable to help exclude infection. Figure 1.Case inclusion and overall categorization Results NGS cfDNA testing identified a pathogen responsible for illness exclusively, or before conventional testing in 15 cases (16%). In 67% (10) of these cases the patient had underlying oncology or congenital cardiac disease. In 11 cases, NGS cfDNA testing was used to change antibiotics (new antibiotic started in 7 cases; changed or deescalated in 2 cases; stopped in 2 cases). NGS cfDNA was used in 24 cases (26%) to help exclude infection as a diagnosis (5 positive for low level pathogens; 19 negative). In 5 cases, the NGS cfDNA test was negative, but conventional testing identified causative pathogens, which are detectable in this test. Of these, 3 were identified in cerebrospinal fluid and not in blood. Figures 2 and 3 describe NGS cfDNA findings. Figure 2:(2A) Demographics (2B) Underlying diagnosis and % positive and usefulFigure 3:Clinical utility of positive and negative tests. Conclusion NGS cfDNA testing identified pathogens quickly and correctly in 16% of cases. The test was more often diagnostic in cases with underlying cardiac or oncology diagnosis, rather than in previously healthy patients. It was considered useful for its negative predictive value. However, in 5% of cases, the diagnosis was missed by NGS cfDNA testing. NGS cfDNA testing can provide valuable information regarding diagnosis. We caution against using this test as a single evaluative measure to exclude infection, particularly in cases where disease is suspected outside the bloodstream. Disclosures All Authors: No reported disclosures.

494. Enteric bacteria are immune-reactive in patients with Crohn's disease with extraintestinal manifestations

Abstract Background Bacterial constituents of the intestinal microbiota can contribute to local and systemic inflammatory diseases. Crohn's disease (CD), a type of inflammatory bowel disease, can result in extraintestinal manifestations (EIM) including peripheral (CD-SpA) and axial spondyloarthritis (CD-AxSpA). Microbial contributors to CD pathogenesis can be identified by flow cytometric sorting and 16S sequencing of bacteria recognized by mucosal IgA. We expand this technique by incubating fecal samples with autologous sera, capturing bacterial species recognized by circulating IgG in a process called IgG-seq. We hypothesize that these systemically-recognized enteric bacteria are linked to development of CD-EIM. Methods Fecal samples from individuals with CD were sorted into IgG-positive and negative populations. DNA was extracted from each population, 16S sequencing performed, and sequences processed with QIIME2. Intestinal coating index (ICI) was calculated at the genus level. Serum cell-free DNA sequencing (cfDNA) was performed for a subset of samples. Results IgG-seq was conducted on 86 CD, 41 CD-SpA, and 16 CD-AxSpA samples. PCoA analysis demonstrates significant differences in microbiome composition in the three groups (P = 0.013, PERMANOVA). Relative abundances of Escherichia-Shigella and Ruminococcus are positively correlated with joint disease activity. Analysis of IgG ICI for genera present in > 10% of patients demonstrates overrepresentation of Ruminococcus, Escherichia-Shigella, and Bacteroides in IgG-recognized fractions. IgG recognition of bacteria does not cluster specifically by CD or EIM severity. cfDNA sequencing demonstrates no Ruminococcus DNA in serum, whereas E. coli DNA was detected in multiple patient sera. Conclusion IgG-seq is a robust method for identifying immune-reactive enteric bacteria; our results highlight the link between immune response to enteric bacterial genera, such as Escherichia-Shigella and Ruminococcus, and joint disease activity in CD-SpA and CD-AxSpA. While Escherichia-Shigella may induce immunity by breaching the mucosal barrier, the absence of Ruminococcus in serum cfDNA suggests immune activation at barrier sites. Further studies are needed to characterize the strain-specific features that underlie our findings. Disclosures Fardina Malik, MD, Pfizer: Advisor/Consultant Iwijn de Vlaminck, PhD, GenDX: Advisor/Consultant|GenDX: Board Member|Kanvas Biosciences: Board Member|Kanvas Biosciences: Ownership Interest|Karius Inc.: Board Member|Karius Inc.: Ownership Interest|Viracor Eurofins: Advisor/Consultant Randy S. Longman, MD, PhD, Pfizer: Advisor/Consultant.

Identification of DNA methylation and genetic alteration simultaneously from a single blood biopsy.

High-throughput sequencing of blood cell-free DNA (cfDNA) techniques offer an opportunity to characterize and monitor cancer rapidly in a non-invasive and real-time manner. Nonetheless, there lacks a tool within therapeutic arsenal to identify multi-omics alterations simultaneously from a single biopsy. In current times, bisulfite-based sequencing detects 5mC and 5hmC at single-base resolution is the golden standard of DNA methylation, while the degradation of DNA and biased sequencing data are the problems of this method. To identify the consistency analysis of methylation and genetic variation with single library, we presented a platform detecting multi-omics data simultaneously from a single blood biopsy using bisulfite-free method of genomic methylation sequencing (GM-seq) mediated by TET enzyme. We detected methylomic and genetic changes simultaneously from a single blood biopsy in NA12878 and randomly chose ten blood biopsies from colorectal cancer or lung cancer patients to validate the ability of GM-seq. Similar cytosine methylation level between whole genome bisulfite sequencing (WGBS) and GM-seq were identified in NA12878. Moreover, longer insert size, CpGs coverage and GC distribution were outperformed than WGBS. In addition, the comparison of the single nucleotide polymorphism (SNP), insertion-deletion (Indel) and copy number variation (CNV) in NA12878 or ctDNA from liver cancer between GM-seq and whole genome sequencing (WGS) show a good consistency, indicating that this method is feasible for detecting genetic variation in blood. In conclusion, our work demonstrated a method for identification of the methylated modification and genetic variations simultaneously from a single blood biopsy.

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations

Aging is a process of progressive change. To develop biological models of aging, longitudinal datasets with high temporal resolution are needed. Here we report a multi-omics longitudinal dataset for cultured primary human fibroblasts measured across their replicative lifespans. Fibroblasts were sourced from both healthy donors (n = 6) and individuals with lifespan-shortening mitochondrial disease (n = 3). The dataset includes cytological, bioenergetic, DNA methylation, gene expression, secreted proteins, mitochondrial DNA copy number and mutations, cell-free DNA, telomere length, and whole-genome sequencing data. This dataset enables the bridging of mechanistic processes of aging as outlined by the “hallmarks of aging”, with the descriptive characterization of aging such as epigenetic age clocks. Here we focus on bridging the gap for the hallmark mitochondrial metabolism. Our dataset includes measurement of healthy cells, and cells subjected to over a dozen experimental manipulations targeting oxidative phosphorylation (OxPhos), glycolysis, and glucocorticoid signaling, among others. These experiments provide opportunities to test how cellular energetics affect the biology of cellular aging. All data are publicly available at our webtool: https://columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/