Multiplex Droplet Digital PCR Research Articles

Abstract A026: A novel ddPCR detects hypermethylated RASSF1A in plasma of patients with pediatric Wilms tumor

Abstract Background: Wilms tumor is the most common pediatric renal cancer. Within the SIOP-Renal Tumor Study Group (SIOP-RTSG), diagnosis is based on imaging and patients receive neo- adjuvant treatment. Final diagnosis is established via histopathological analysis at the timepoint of surgery, which also determines the intensity of adjuvant treatment. Overall, patients with Wilms tumor have a 90% survival rate, but one in five patients will suffer from a relapse, which requires intensive treatment and induces long-term toxicity. It is challenging to identify patients at risk of suffering from relapse at initial diagnosis. Hence the need for additional biomarkers that will optimize risk stratification and minimal residual disease monitoring. RASSF1A is a tumor suppressor gene that is silenced via hypermethylation of its promotor region in multiple adult and pediatric tumors and is reported to represent an aggressive phenotype. We have previously reported on thirteen patients with Wilms tumor where increased hypermethylation of RASSF1A (RASSF1A-M) was observed in plasma cell-free DNA (cfDNA). The aim of this study was to further investigate the levels of RASSF1A-M in a larger cohort. Methods: The presence of RASSF1A-M in plasma cfDNA of patients with Wilms tumor was quantified using a multiplexed droplet digital PCR comprising methylation-specific restriction enzymes. Diagnosis and pre- surgery samples were included to evaluate RASSF1A-M levels during treatment. Results: A total of 49 patients were evaluated. At diagnosis, 37/46 (80.4%) samples were positive for RASSF1A-M. Negative samples were from patients with localized disease (N=6), regressive type regionally advanced Wilms (N=1) or mixed type metastatic Wilms (N=2). RASSF1A-M levels were significantly elevated in regionally advanced and metastatic disease compared to localized disease. Of the 37 positive diagnosis samples, 23 pre-surgical follow-up samples were available. In 7/23, RASSF1A-M was still detectable. These belong to patients with stromal-, regressive- or diffuse anaplastic predominant tumors. Interestingly, an increasing methylation level was seen in one patient with a regressive tumor. Conclusion: RASSF1A-M is a potential biomarker for patients with Wilms tumor, since it was detected in the majority of patients. Furthermore, significantly increased levels were observed in regionally advanced and metastatic disease. In the small number of patients with persisting levels of RASSF1A-M, we did not observe an association with risk groups. In collaboration with SIOP-RTSG, additional follow-up samples will be analyzed to explore the potential of RASSF1A-M as biomarker for relapse detection. Citation Format: Julia Sprokkerieft, Nathalie S.M. Lak, Zeinab van Gestel-Fadaie, Marry M. van den Heuvel-Eibrink, Godelieve A.M. Tytgat. A novel ddPCR detects hypermethylated RASSF1A in plasma of patients with pediatric Wilms tumor [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A026.

Exosomal mRNA in plasma serves as a predictive marker for microvascular invasion in hepatocellular carcinoma.

There is a pressing need for non-invasive preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). This study investigates the potential of exosome-derived mRNA in plasma as a biomarker for diagnosing MVI. Patients with suspected HCC undergoing hepatectomy were prospectively recruited for preoperative peripheral blood collection. Exosomal RNA profiling was conducted using RNA sequencing in the discovery cohort, followed by differential expression analysis to identify candidate targets. We employed multiplexed droplet digital PCR technology to efficiently validate them in a larger sample size cohort. A total of 131 HCC patients were ultimately enrolled, with 37 in the discovery cohort and 94 in the validation cohort. In the validation cohort, the expression levels of RSAD2, PRPSAP1, and HOXA2 were slightly elevated while CHMP4A showed a slight decrease in patients with MVI compared with those without MVI. These trends were consistent with the findings in the discovery cohort, although they did not reach statistical significance (P>0.05). Notably, the expression level of exosomal PRPSAP1 in plasma was significantly higher in patients with more than 5 MVI than in those without MVI (0.147 vs 0.070, P=0.035). This study unveils the potential of exosome-derived PRPSAP1 in plasma as a promising indicator for predicting MVI status preoperatively.

Development of a multiplex droplet digital PCR method for detection and monitoring of Mycobacterium tuberculosis and drug-resistant tuberculosis

BackgroundThe prevalence of multidrug-resistant tuberculosis (MDR-TB) among Korean tuberculosis patients is about 4.1%, which is higher than the OECD average of 2.6%. Inadequate drug use and poor patient compliance increase MDR-TB prevalence through selective pressure. Therefore, prompt detection of drug resistance in tuberculosis patients at the time of diagnosis and quantitative monitoring of these resistant strains during treatment are crucial.MethodsA multiplex droplet digital PCR (ddPCR) assay was developed and assessed using DNA material of nine Mycobacterium tuberculosis strains with known mutation status that were purchased from the Korean National Tuberculosis Association. We collected a total of 18 MDR-TB residual samples referred for PCR analysis. Total DNA was extracted from the samples and subjected to the quadruplex ddPCR assay. Their results were compared to those of known resistance phenotypes.ResultsThe analytical sensitivity and specificity of the multiplex ddPCR assay for detecting INH, RIF, EMB, FQ, and SM resistance-causing mutations ranged from 71.43 to 100% and 94.12–100%, respectively. Follow-up sample results showed that the quadruplex ddPCR assay was sensitive enough to detect IS6110 and other mutations even after onset of treatment.ConclusionsWe developed a sensitive and accurate multiplex ddPCR assay that can detect the presence of tuberculosis quantitatively and resistance-conveying mutations concurrently. This tool could aid clinicians in the diagnosis and treatment monitoring of tuberculosis.

Clinical Implementation of a Noninvasive, Multi-Analyte Droplet Digital PCR Test to Screen for Androgen Receptor Alterations

Recent studies have shown that alterations of the androgen receptor (AR) are associated with resistance to AR-directed therapy in prostate cancer. Thus, it is crucial to develop robust detection methods for AR alterations as predictive biomarkers to enable applicability in clinical practice. We designed and validated five multiplex droplet digital PCR (ddPCR) assays for reliable detection of 12 AR targets including AR amplification, AR-V7 and 10 AR hotspot mutations as well as AR and KLK3 gene expression from plasma derived cell-free (cf)DNA and cfRNA.The assays demonstrated excellent analytical sensitivity and specificity ranging from 95% to 100% (95% CI: 75-100%). Intra- and inter-run variation analyses revealed a high level of repeatability and reproducibility. The developed assays were further applied in peripheral blood samples from 77 patients with advanced prostate cancer to assess their feasibility in a real-world scenario. Optimizing the reverse transcription of RNA increased the yield of plasma-derived cfRNA by 30-fold. Among 23 patients with castration-resistant prostate cancer (CRPC), 6 patients (26.1%) had one or a combination of several AR alterations, while only 2 out of 54 patients (3.7%) in the hormone-sensitive stage showed AR alterations. These findings were consistent with other studies and suggest that implementation of a comprehensive AR status detection in clinical practice is feasible and can support the treatment decision-making process.

Development of a multiplex droplet digital PCR assay for simultaneous detection and quantification of Escherichia coli, E. marmotae, and E. ruysiae in water samples

Escherichia coli are widely used by water quality managers as Fecal Indicator Bacteria, but current quantification methods do not differentiate them from benign, environmental Escherichia species such as E. marmotae (formerly named cryptic clade V) or E. ruysiae (cryptic clades III and IV). Reliable and specific techniques for their identification are required to avoid confounding microbial water quality assessments. To address this, a multiplex droplet digital PCR (ddPCR) assay targeting lipB (E. coli and E. ruysiae) and bglC (E. marmotae) was designed. The ddPCR performance was assessed using in silico analysis; genomic DNA from 40 local, international, and reference strains of target and non-target coliforms; and spiked water samples in a range relevant to water quality managers (1 to 1000 cells/100 mL). Results were compared to an analogous quantitative PCR (qPCR) and the Colilert method. Both PCR assays showed excellent sensitivity with a limit of detection of 0.05 pg/μL and 0.005 pg/μl for ddPCR and qPCR respectively, and of quantification of 0.5 pg/μL of genomic DNA. The ddPCR allowed differentiation and quantification of three Escherichia species per run by amplitude multiplexing and showed a high concordance with concentrations measured by Colilert once proportional bias was accounted for. In silico specificity testing underlined the possibility to further detect and distinguish Escherichia cryptic clade VI. Finally, the applicability of the ddPCR was successfully tested on environmental water samples where E. marmotae and E. ruysiae potentially confound E. coli counts based on the Most Probable Number method, highlighting the utility of this novel ddPCR as an efficient and rapid discriminatory test to improve water quality assessments.

Plasmodium falciparum transmission in the highlands of Ethiopia is driven by closely related and clonal parasites.

Malaria cases are frequently recorded in the Ethiopian highlands even at altitudes above 2000 m. The epidemiology of malaria in the Ethiopian highlands, and, in particular, the role of importation by human migration from the highly endemic lowlands is not well understood. We sequenced 187 Plasmodium falciparum samples from two sites in the Ethiopian highlands, Gondar (n = 159) and Ziway (n = 28), using a multiplexed droplet digital PCR (ddPCR)-based amplicon sequencing method targeting 35 microhaplotypes and drug resistance loci. Here, we characterize the parasite population structure and genetic relatedness. We identify moderate parasite diversity (mean HE : 0.54) and low infection complexity (74.9% monoclonal). A significant percentage of infections share microhaplotypes, even across transmission seasons and sites, indicating persistent local transmission. We identify multiple clusters of clonal or near-clonal infections, highlighting high genetic relatedness. Only 6.3% of individuals diagnosed with P. falciparum reported recent travel. Yet, in clonal or near-clonal clusters, infections of travellers were frequently observed first in time, suggesting that parasites may have been imported and then transmitted locally. 31.1% of infections are pfhrp2-deleted and 84.4% pfhrp3-deleted, and 28.7% have pfhrp2/3 double deletions. Parasites with pfhrp2/3 deletions and wild-type parasites are genetically distinct. Mutations associated with resistance to sulphadoxine-pyrimethamine or suggested to reduce sensitivity to lumefantrine are observed at near-fixation. In conclusion, genomic data corroborate local transmission and the importance of intensified control in the Ethiopian highlands.

Clinically accessible amplitude-based multiplex ddPCR assay for tryptase genotyping

Hereditary α tryptasemia (HαT) is an autosomal dominant trait characterized by increased TPSAB1 copy number (CN) encoding α-tryptase. The determination of HαT is being discussed as an important biomarker to be included in risk assessment models and future diagnostic algorithms for patients with mastocytosis and anaphylaxis. Due to the complex genetic structure at the human tryptase locus, genetic testing for tryptase gene composition is presently notably limited and infrequently pursued. This study aimed to develop, optimise and validate a multiplex droplet digital PCR (ddPCR) assay that can reliably quantify α- and β-tryptase encoding sequences in a single reaction. To optimise the ddPCR conditions and establish an amplitude-based multiplex ddPCR assay, additional primers and probes, a thermal gradient with varying annealing temperatures, different primers/probe concentrations, and various initial DNA quantities were tested. Results obtained from all 114 samples analysed using multiplex ddPCR were identical to those obtained through the use of original duplex assays. Utilizing this multiplex ddPCR assay, in contrast to conducting distinct duplex ddPCRs, presents noteworthy benefits for tryptase genotyping. These advantages encompass a substantial threefold decrease in material costs and considerable time savings. Consequently, this approach exhibits high suitability and particularly captures interest for routine clinical implementation.

The dynamic variation position and predominant quasispecies of hepatitis B virus: Novel predictors of early hepatocarcinoma

To find the predictors of early HCC based on the dynamic changes of HBV quasispecies, this study utilizing the second-generation sequencing (NGS) and high-order multiplex droplet digital PCR (ddPCR) technology to examine the HBV quasispecies in serum of total 247 subjects recruited from high-incidence area of HCC. In the discovery stage, 15 non-synonymous Single Nucleotide Polymorphisms (SNPs) with higher variant proportion in HCC case group were founded (all P<0.05). Furthermore, the variant proportions in some of these SNPs were observed changing regularly within 5 years before the onset of HCC, and 5 of them located in HBX, 2 in HBS and 2 in HBC. The HBV predominant quasispecies and their consensus sequences were identified by genetic evolution analysis, in which the high HBS and HBC quasispecies heterogeneity were found associated with the forming of multifarious quasispecies clones, and the HBX gene had the highest proportion of predominant quasispecies (46.7 % in HBX vs 12.7 % and 13.8 % in HBS and HBC respectively) with the key variations (G1512A, A1630G, T1753C/G/A, A1762T and G1764A) determined. In the validation stage, we confirmed that the combined double mutations of G1512A+A1630G, A1762T+G1764A, and the combined triple mutations of T1753C/G/A + A1762T+G1764A, all expressed higher in early HCC cases when comparing with control group (all P<0.05). We also demonstrated the advantages of ddPCR using in multi-variations detection in large-sample for early HCC surveillance and screening. So we think that the dynamic of key HBV variation positions and their different combinations determined by quasispecies anlysis in this study can act as the novel predictors of early hepatocarcinoma and suitable to popularize and apply in HCC screening.

Analytical and clinical validation of multiplex droplet digital PCR assay for detecting pathogenic fungal infection in lungs

ABSTRACT Pulmonary invasive fungal infection in immunocompromised hosts is difficult to diagnose, and current tools for diagnosis or monitoring of response to antifungal treatments have inherent limitations. Droplet digital PCR (ddPCR) has emerged as a promising tool for pulmonary pathogen detection with high sensitivity. This study presents a novel ddPCR panel for rapid and sensitive identification of pulmonary fungal pathogens. First, a ddPCR method for detecting three fungal genera, including Pneumocystis, Aspergillus, and Cryptococcus, was established and evaluated. Then, the clinical validation performance of ddPCR was compared with that of qPCR using 170 specimens, and the 6 specimens with inconsistent results were further verified by metagenomics next-generation sequencing, which yielded results consistent with the ddPCR findings. Finally, the area under the ROC curve (AUC) was used to evaluate the efficiency of ddPCR. While the qPCR identified 16 (9.41%) cases of Aspergillus and 6 (3.53%) cases of Pneumocystis, ddPCR detected 20 (11.76%) Aspergillus cases and 8 (4.71%) Pneumocystis cases. The AUC for Aspergillus, Cryptococcus, and Pneumocystis was 0.974, 0.998, and 0.975, respectively. These findings demonstrated that the ddPCR assay is a highly sensitive method for identifying pathogens responsible for invasive fungal pulmonary infections, and is a promising tool for early diagnosis.

Clinical evaluation of a multiplex droplet digital PCR for pathogen detection in critically ill COVID-19 patients with bloodstream infections

BackgroundNosocomial bloodstream infections (nBSI) have emerged as a clinical concern for physicians treating COVID-19 patients. In this study, we aimed to evaluate the effectiveness of a multiplex ddPCR in detecting bacterial pathogens in the blood of COVID-19 critically ill patients.MethodsThis prospective diagnostic study included RT-PCR-confirmed COVID-19 patients admitted to our hospital from December 2022 to February 2023. A multiplex ddPCR assay was used to detect common bacterial pathogens and AMR genes in blood samples of the patients, along with antimicrobial susceptibility testing (AST). The diagnostic performance of the ddPCR assay was evaluated by comparing the results with those obtained through blood culture and clinical diagnosis. Additionally, the ability of ddPCR in detecting bacterial resistance was compared with the AST results.ResultsOf the 200 blood samples collected from 184 patients, 45 (22.5%) were positive using blood culture, while 113 (56.5%) were positive for bacterial targets using the ddPCR assay. The ddPCR assay outperformed blood culture in pathogen detection rate, mixed infection detection rate, and fungal detection rate. Acinetobacter baumannii and Klebsiella pneumoniae were the most commonly detected pathogens in COVID-19 critically ill patients, followed by Enterococcus and Streptococcus. Compared to blood culture, ddPCR achieved a sensitivity of 75.5%, specificity of 51.0%, PPV of 30.9%, and NPV of 87.8%, respectively. However, there were significant differences in sensitivity among different bacterial species, where Gram-negative bacteria have the highest sensitivity of 90.3%. When evaluated on the ground of clinical diagnosis, the sensitivity, specificity, PPV and NPV of ddPCR were 78.1%, 90.5%, 94.7%, and 65.5%, respectively. In addition, the ddPCR assay detected 23 cases of blaKPC, which shown a better consistent with clinical test results than other detected AMR genes. Compared to blaKPC, there were few other AMR genes detected, indicating that the application of other AMR gene detection in the COVID-19 critically ill patients was limited.ConclusionThe multiplex ddPCR assay had a significantly higher pathogen detection positivity than the blood culture, which could be an effective diagnostic tool for BSIs in COVID-19 patients and to improve patient outcomes and reduce the burden of sepsis on the healthcare system, though there is room for optimization of the panels used.- Adjusting the targets to include E. faecalis and E. faecium as well as Candida albicans and Candida glabrata could improve the ddPCR' s effectiveness. However, further research is needed to explore the potential of ddPCR in predicting bacterial resistance through AMR gene detection.

B-383 Exosomal PRPSAP1 in Plasma Predicts Microvascular Invasion in Hepatocellular Carcinoma

Abstract Background Microvascular invasion (MVI), a critical predictor of postoperative tumor recurrence in hepatocellular carcinoma (HCC), is only detectable by histopathological examination of the surgical specimen. Prediction of MVI before surgery is of great significance to prognosis, especially by non-invasive means. Here, we report that exosome-derived mRNA in plasma can be promising biomarkers for MVI preoperatively. Methods Patients with initially suspected HCC who were undergoing hepatectomy were prospectively recruited with preoperative peripheral blood collection and followed up. Exosomal mRNA profiling was performed using RNA sequencing in the discovery cohort, and the edgeR package in R software was used to screen out significantly differential expression exosomal mRNAs between MVI and non-MVI groups. Multiplex droplet digital PCR (ddPCR) technology was utilized to verify filtered exosomal mRNAs in the validation cohort. Results A total of 131 HCC patients were enrolled with 37 in the discovery cohort and 94 in the validation cohort. RNA-sequencing data identified six candidate exosomal mRNAs (ZC3H3, RSAD2, PRPSAP1, HOXA2, CHPM4A and KCTD10) as potential predictors for MVI. In the validation cohort, expression levels of PRPSAP1 and HOXA2 were slightly higher and the expression level of CHMP4A was slightly lower in the MVI group than the non-MVI one, which were consistent with the discovery cohort though without statistically significant difference (P &amp;gt; 0.05). Further analysis between MVI number&amp;gt;5 and non-MVI patients validated that the expression level of exosomal PRPSAP1 was significantly higher in MVI number&amp;gt;5 patients (0.147 vs 0.070, P = 0.035). Altogether, exosomal PRPSAP1 in plasma was a promising biomarker predicting MVI for HCC patients. Conclusion We validated for the first time that high level expression of exosome-derived PRPSAP1 can preoperatively predict MVI, especially with the number &amp;gt;5, to improve prognosis.

Patient-specific targeted analysis of circulating tumour DNA in plasma is feasible and may be a potential biomarker in UTUC

PurposeThe prognosis of upper urinary tract urothelial carcinoma (UTUC) is associated with tumour grade (G) and stage. Despite preoperative risk stratification and radical treatment, recurrence and progression are common. Thus, prognostic and monitoring biomarkers are needed. This feasibility study aimed to investigate if targeted analyses on circulating tumour DNA (ctDNA) in plasma could identify tumour-specific gene variants, and thus have potential for further evaluation as a biomarker in UTUC.MethodsNine UTUC patients with genetically characterised tumours were included in this prospective pilot study. Two tumour-specific variants were chosen for targeted analyses with multiplex droplet digital PCR on cell-free DNA (cfDNA) from plasma at diagnosis or from recurrence.ResultsOf six patients with diagnostic plasma samples, ctDNA was detected in four with G2 or G3 tumours and tumours > 300m2 in size. Three of these patients progressed in their disease and the fourth had the largest G3 tumour at sampling. In contrast, the two patients with undetectable ctDNA in diagnostic plasma had a G1 tumour and G3 carcinoma in situ (CIS), respectively. The patient with G3 CIS had detectable ctDNA later during follow-up and progressed thereafter with aggressive intravesical recurrence and CT-scan-verified CIS progression in the upper urinary tract. In three patients with small recurrent G1 or G2 tumours, none had detectable ctDNA in plasma and all were progression free.ConclusionOur early findings demonstrate that ctDNA in plasma can be detected by targeted analysis in patients with UTUC. However, further studies are needed to determine its role as a potential biomarker.

Detection and quantification of integrated vector copy number by multiplex droplet digital PCR in dual-transduced CAR T cells

The success of chimeric antigen receptor (CAR) Tcell therapies in refractory hematologic malignancies has prompted investigation of their efficacy in solid tumors. AUTO6NG is a dual-transduced GD2-targeting CAR that encodes distinct modules designed to enhance Tcell activity in relapsed/refractory neuroblastoma. The ability to detect and precisely quantify vector copy number (VCN) for each integrated vector is essential for assessing the effect of each module on Tcell tumor infiltration, persistence, and clinical activity. Droplet digital PCR (ddPCR) enables accurate, sensitive, and absolute quantification of specific nucleic acid sequences. Compared to standard detection of two targets, multiplex ddPCR assays allow simultaneous detection of up to four targets by selective modulation of signal amplitude while retaining the ability to quantify the target. We have developed a multiplex assay based on the two-channel system for simultaneous detection and quantification of three targets in AUTO6NG CAR Tcells. The assay was highly specific, sensitive, accurate, and reproducible across time and samples. No differences were observed in measuring VCN between standard duplex and multiplex assays. Our results demonstrate that ddPCR is an accurate and cost-effective method for simultaneous detection of multiple targets in genomic DNA derived from engineered CAR Tcells.

Multiplexed ddPCR-amplicon sequencing reveals isolated Plasmodium falciparum populations amenable to local elimination in Zanzibar, Tanzania

Zanzibar has made significant progress toward malaria elimination, but recent stagnation requires novel approaches. We developed a highly multiplexed droplet digital PCR (ddPCR)-based amplicon sequencing method targeting 35 microhaplotypes and drug-resistance loci, and successfully sequenced 290 samples from five districts covering both main islands. Here, we elucidate fine-scale Plasmodium falciparum population structure and infer relatedness and connectivity of infections using an identity-by-descent (IBD) approach. Despite high genetic diversity, we observe pronounced fine-scale spatial and temporal parasite genetic structure. Clusters of near-clonal infections on Pemba indicate persistent local transmission with limited parasite importation, presenting an opportunity for local elimination efforts. Furthermore, we observe an admixed parasite population on Unguja and detect a substantial fraction (2.9%) of significantly related infection pairs between Zanzibar and the mainland, suggesting recent importation. Our study provides a high-resolution view of parasite genetic structure across the Zanzibar archipelago and provides actionable insights for prioritizing malaria elimination efforts.

Parallel testing of liquid biopsy (ctDNA) and tissue biopsy samples reveals a higher frequency of EZH2 mutations in follicular lymphoma.

Recent genomic studies revealed enhancer of zeste homolog 2 (EZH2) gain-of-function mutations, representing novel therapeutic targets in follicular lymphoma (FL) in around one quarter of patients. However, these analyses relied on single-site tissue biopsies and did not investigate the spatial heterogeneity and temporal dynamics of these alterations. We aimed to perform a systematic analysis of EZH2 mutations using paired tissue (tumor biopsies [TB]) and liquid biopsies (LB) collected prior to treatment within the framework of a nationwide multicentric study. Pretreatment LB and TB samples were collected from 123 patients. Among these, 114 had paired TB and LB, with 39 patients characterized with paired diagnostic and relapse samples available. The EZH2 mutation status and allele burden were assessed using an in-house-designed, highly sensitive multiplex droplet digital PCR assay. EZH2 mutation frequency was found to be 41.5% in the entire cohort. In patients with paired TB and LB samples, EZH2 mutations were identified in 37.8% of the patients with mutations exclusively found in 5.3% and 7.9% of TB and LB samples, respectively. EZH2 mutation status switch was documented in 35.9% of the patients with paired diagnostic and relapse samples. We also found that EZH2 wild-type clones may infiltrate the bone marrow more frequently compared to the EZH2 mutant ones. The in-depth spatio-temporal analysis identified EZH2 mutations in a considerably higher proportion of patients than previously reported. This expands the subset of FL patients who most likely would benefit from EZH2 inhibitor therapy.

Clinical Application of a Multiplex Droplet Digital PCR in the Rapid Diagnosis of Children with Suspected Bloodstream Infections.

Droplet digital PCR (ddPCR) recently has been shown to be a potential diagnostic tool for adults with bloodstream infections (BSIs); however, its application in children remains obscure. In this study, 76 blood samples of children with suspected BSIs were synchronously detected by traditional blood cultures (BCs) and ddPCRs. Our team validated the diagnostic performance of ddPCR including sensitivity, specificity, and positive and negative predictive values. The 76 pediatric patients from the hematology department (67.1%), the pediatric intensive care unit (PICU, 27.6%), and other departments (5.2%) were enrolled. The positive rate of ddPCR results was 47.9%, whereas that for BC was 6.6%. In addition, the time consumption of ddPCR was shorter, only for 4.7 ± 0.9 h, in comparison with the detection timing of BC (76.7 ± 10.4 h, p < 0.01). The levels of agreement and disagreement between BC and ddPCR were 96.1% and 4.2%, and the negative agreement reached 95.6%. The sensitivity of ddPCR was 100%, with corresponding specificities ranging from 95.3 to 100.0%. In addition, a total of nine viruses were identified by ddPCR. In China, the multiplexed ddPCR first could be a tool for the rapid and accurate diagnosis of children with suspected BSIs and can be an early indicator of the possibility of viraemia in children with immunosuppression.

Methylated SEPT9 assay-based liquid biopsy as a biomarker in molecular targeted agent-treated hepatocellular carcinoma.

The development of molecular targeted agents (MTAs) has changed the treatment strategy for hepatocellular carcinoma (HCC). However, currently, there are no established predictive biomarkers for the treatment efficacy of MTAs. Previously, we developed a novel liquid biopsy test for HCC screening using sensitive methylated DNA testing of septin 9 gene (SEPT9). Here, we hypothesized that SEPT9 could be used as a biomarker for MTA treatment efficacy. We enrolled 157 patients receiving sorafenib or lenvatinib as a first-line therapy and allocated 85 and 72 patients to the training and validation cohorts, respectively. For the methylation assay, DNA was treated with methylation-sensitive restriction enzymes, followed by multiplex droplet digital PCR. Various clinical parameters were compared with clinical outcomes. The multivariate analysis revealed Eastern Cooperative Oncology Group performance status (≥ 1; p = 0.048), alpha-fetoprotein (AFP) (≥ 400ng/mL; p < 0.001), and methylated-septin-9 (m-SEPT9) (≥ 205 copies/mL; p = 0.018) as significant predictors of poor overall survival (OS) in the training cohort. m-SEPT9 was identified as a predictor of poor OS in the validation cohort. We developed a predictive score, called the MTA score, consisting of these three significant OS parameters (two points were added for AFP and one point for each of the other predictors). Patients with MTA scores ≥ 2 showed a significantly poor prognosis compared to those with MTA scores ≤ 1 in both the training and validation cohorts. m-SEPT9 could be a potential predictive biomarker for survival in patients with HCC treated with MTAs.

Combining multiple markers significantly increases the sensitivity and precision of eDNA‐based single‐species analyses

AbstractThe analysis of environmental DNA (eDNA) is becoming integrated as an established biomonitoring tool, often characterized by detection limits exceeding those of conventional counterparts. However, further improving the sensitivity of these methods may be invaluable for the early detection of invasive species, or for locating remnant populations of endangered species, and the adequate quantification of their abundances. In this study, we provide empirical evidence showing that the implementation of multiple genetic markers targeting different loci is a surprisingly overlooked strategy to increase the sensitivity of single‐species detections and quantification of their abundance, particularly at the lower end of the species abundance range. We analyzed 45 natural eDNA samples obtained from a wide range of water bodies in Belgium, in which either the invasive American bullfrog (Lithobates catesbeianus) or the rare European weather loach (Misgurnus fossilis) occurred under variable abundances, and compared detection success and precision of quantification of simplex (single locus) versus multiplex (multilocus) droplet digital PCR (ddPCR) analyses. Multiplexing different primer/probe assays targeting independent loci resulted in a significantly enhanced detection probability compared to the simplex analyses, gaining a twofold reduction in the limit of detection (LOD). Also the precision of eDNA quantification significantly improved in multiplex reactions, especially in low concentration samples. This was reflected in a significant reduction in the coefficient of variation (CV) among technical replicates, resulting in an associated decrease of the limit of quantification (LOQ). We conclude that the use of multiple markers can significantly improve the analytical sensitivity of eDNA‐based single‐species detections and precision of absolute abundance quantifications.

Cell-Free RNA from Plasma in Patients with Neuroblastoma: Exploring the Technical and Clinical Potential

Neuroblastoma affects mostly young children, bearing a high morbidity and mortality. Liquid biopsies, e.g., molecular analysis of circulating tumor-derived nucleic acids in blood, offer a minimally invasive diagnostic modality. Cell-free RNA (cfRNA) is released by all cells, especially cancer. It circulates in blood packed in extracellular vesicles (EV) or attached to proteins. We studied the feasibility of analyzing cfRNA and EV, isolated by size exclusion chromatography (SEC), from platelet-poor plasma from healthy controls (n = 40) and neuroblastoma patients with localized (n = 10) and metastatic disease (n = 30). The mRNA content was determined using several multiplex droplet digital PCR (ddPCR) assays for a neuroblastoma-specific gene panel (PHOX2B, TH, CHRNA3) and a cell cycle regulation panel (E2F1, CDC6, ATAD2, H2AFZ, MCM2, DHFR). We applied corrections for the presence of platelets. We demonstrated that neuroblastoma-specific markers were present in plasma from 14/30 patients with metastatic disease and not in healthy controls and patients with localized disease. Most cell cycle markers had a higher expression in patients. The mRNA markers were mostly present in the EV-enriched SEC fractions. In conclusion, cfRNA can be isolated from plasma and EV and analyzed using multiplex ddPCR. cfRNA is an interesting novel liquid biopsy-based target to explore further.

Simultaneous Ultra-Sensitive Detection of Structural and Single Nucleotide Variants Using Multiplex Droplet Digital PCR in Liquid Biopsies from Children with Medulloblastoma.

Medulloblastoma is a malignant embryonal tumor of the central nervous system (CNS) that mainly affects infants and children. Prognosis is highly variable, and molecular biomarkers for measurable residual disease (MRD) detection are lacking. Analysis of cell-free DNA (cfDNA) in cerebrospinal fluid (CSF) using broad genomic approaches, such as low-coverage whole-genome sequencing, has shown promising prognostic value. However, more sensitive methods are needed for MRD analysis. Here, we show the technical feasibility of capturing medulloblastoma-associated structural variants and point mutations simultaneously in cfDNA using multiplexed droplet digital PCR (ddPCR). Assay sensitivity was assessed with a dilution series of tumor in normal genomic DNA, and the limit of detection was below 100 pg of input DNA for all assays. False positive rates were zero for structural variant assays. Liquid biopsies (CSF and plasma, n = 47) were analyzed from 12 children with medulloblastoma, all with negative CSF cytology. MRD was detected in 75% (9/12) of patients overall. In CSF samples taken before or within 21 days of surgery, MRD was detected in 88% (7/8) of patients with localized disease and in one patient with the metastasized disease. Our results suggest that this approach could expand the utility of ddPCR and complement broader analyses of cfDNA for MRD detection.