Abstract 3326: The clinical validity of urinary pellet DNA monitoring of recurrent bladder cancer
Masakazu AbéHayato HirakiTakashi TsuyukuboSadahide OnoShigekatsu MaekawaDaichi TamuraDaiki IkarashiRenpei KatoTomohiko MatsuuraMitsugu KanehiraRyo TakataHiromitsu FujisawaTakeshi IwayaMasashi IdogawaWataru ObaraSatoshi Nishizuka
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Abstract Introduction: Approximately half of high-risk non-muscle-invasive bladder cancers (NMIBCs) recur after transurethral resection of the bladder tumor (TURBT), whereas conventional urological testing for bladder cancer (BC) patients has been considered invasive and with low sensitivity. Our previous reports have shown that circulating tumor DNA (ctDNA) monitored by digital PCR (dPCR) can predict relapse and evaluate treatment efficacy in digestive tract cancers. In BC patients, tumor-derived genetic mutations detected in urinary DNA are expected to be a diagnostic biomarker. This study evaluates the clinical validity of monitoring tumor-specific gene mutations in ctDNA and urine pellet DNA (upDNA) using dPCR as a biomarker for early relapse prediction and determination of treatment efficacy. Materials and Methods: Thirty-two previously treated and untreated BC patients were enrolled. Tumor DNA was extracted from archived TURBT tissues, and gene mutation analysis by Next Generation Sequencing (NGS) of tumors was performed to select patient-unique somatic mutations for both ctDNA and upDNA monitoring by dPCR. Longitudinal variant allele frequencies (VAFs) of ctDNA and upDNA were monitored by dPCR for up to two years. While dPCR is rapid and has a high sensitivity of less than 0.1% VAF, a mutation-specific primer/probe set is required. Therefore, we established over 1,000 primer/probe sets for frequent mutations in human cancer. This large-scale dPCR primer/probe library allow us to select patient specific mutations for immediate ctDNA monitoring. Clinical recurrence (Crec) based on imaging and urinary cell findings are compared with VAF dynamics of ctDNA and upDNA. Results: The median observation period was 516 days (30-733), and a total of 230 urine samples were collected. The selection of monitoring mutations based on NGS analysis was performed in 93.8% (30/32) cases, with 2.3 (range: 1-6) mutations monitored per case. The primer/probe sets covered 87.5% (28/32) of cases and 87.5% (42/48) of mutations. The VAFs of the upDNA of cases started showing constantly increasing trends 3-12 months earlier than the diagnosis of Crec in 71.4% (5/7) of the cases. The other two Crec cases, which did not show an elevated upVAF, were both pyuria cases. After local treatment, the upDNA VAFs remained high in the Crec cases. Conventional Crec did not seem to be fully reflected by ctDNA alone. Conclusion: Frequent VAF monitoring using upDNA by dPCR enables the prediction of local relapse and the evaluation of treatment efficacy in the management of BC patients. Citation Format: Masakazu Abe, Hayato Hiraki, Takashi Tsuyukubo, Sadahide Ono, Shigekatsu Maekawa, Daichi Tamura, Daiki Ikarashi, Renpei Kato, Tomohiko Matsuura, Mitsugu Kanehira, Ryo Takata, Hiromitsu Fujisawa, Takeshi Iwaya, Masashi Idogawa, Wataru Obara, Satoshi S. Nishizuka. The clinical validity of urinary pellet DNA monitoring of recurrent bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3326.Keywords:
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Liquid biopsy
Highly sensitive technologies are available for the molecular characterization of solid tumors, including digital PCR (dPCR). Liquid biopsy, based on the analysis of cell-free DNA (cfDNA), is often used to assess EGFR or RAS alterations in lung and colorectal cancers. Our study aimed to compare the results of two different dPCR platforms for the detection of mutations in cfDNA.Plasma samples from lung and colorectal cancer patients collected as per routine procedures have been tested. cfDNA Was extracted from plasma, and samples were screened on the droplet digital PCR (ddPCR, BioRad) and solid dPCR QIAcuity (Qiagen).A total of 42 samples were analyzed, obtained from 20 Non-Small Cell Lung Cancer (NSCLC) patients carrying an EGFR or a KRAS mutation on tissue at diagnosis, and from 22 samples of colorectal cancer (CRC) patients, 10 of which presenting a KRAS mutation. EGFR mutation detection was 58.8% for ddPCR and 100% for dPCR (κ = 0.54; 95% CI, 0.37-0.71), compared to tissue results. The detection rate for RAS mutations was 72.7% for ddPCR and 86.4% for dPCR (κ = 0.34; 95% CI, 0.01-0.68), compared to tissue results.This study showed moderate agreement between dPCR and ddPCR. Sampling effect or threshold settings may potentially explain the differences in the cfDNA data between the two different platforms.
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Abstract Background Mutations within the telomerase reverse transcriptase promoter (TERTprom) and isocitrate dehydrogenase (IDH) account for the most common genetic alterations in gliomas. Each of these mutations impact clinicopathologic diagnosis and course of diseases. While TERTprom mutations are frequently detected in glioblastoma, IHD mutations are assigned to astrocytoma of grade 2-4, thus mostly associated with better prognosis. In the era of precision oncology, molecular profiling and continuous monitoring of treatment response or relapse are of increasing importance. Accordingly, this study aims to detect TERTprom and IDH mutations in plasma-derived cell-free (cf)DNA of gliomas. The mutant allele frequencies (MAF) will be compared retrospectively to clinico-pathological parameters including extent of resection and tumor progression. Material and Methods Digital droplet PCR (ddPCR) analyses were performed using the QX200TM Digital Droplet System from BioRad. First, to evaluate probes for ddPCR, genomic DNA of several brain tumor cell models (n=6) and tumor tissue (n=1), as well as cfDNA of plasma (n=3) from samples with known TERTprom and IDH mutation status was investigated. For detection of IDH mutations, the unique assay ID dHSaMDV2010055 (IDH1p.R132H) and for TERTprom mutations the TaqMan dPCR Liquid Biopsy Assays for C228T (Hs000000092) and C250T (Hs000000093) were used. The results of ddPCR were analyzed with QuantaSoftTM software and the MAF was calculated Results To validate the detection method for IDH1R132H, we analyzed the MAF in one tissue and corresponding plasma sample of a confirmed IDH1-mutated astrocytoma. In addition, plasma from one astrocytoma grade 2-3 as well as from an IDH1-mutated glioblastoma was tested. Interestingly, both astrocytoma cases exhibited undetectable or very low MAF ranging from 0.1 to 1% in tissue as well as in plasma samples, while in plasma from the high-grade glioblastoma case, IDH1R132H was detected with a frequency of 1.9%. Due to the high GC content of the TERT promoter region, amplification steps are challenging. Accordingly, we first optimized ddPCR conditions for C228T and C250T probes by adding 7-deaza-2-deoxyguanosine-5-triphosphate (7-ddGTP) in varying concentrations to each ddPCR reaction. When using 4µM of 7-ddGTP per sample, a clear separation between mutant and wild-type droplets was reached, detecting MAF between 36-63% in DNA from cell culture models. Conclusion Within this pilot study we optimized the ddPCR method for the detection of IDH1R132H and TERTprom mutations in plasma and tissue samples. Subsequently, we hypothesize that these mutations are suitable liquid biomarkers correlating with extent of resection and tumor progression in gliomas.
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The "sample-to-answer" integration and automation of circulating tumor DNA (ctDNA)-based liquid biopsy using digital PCR (dPCR) has been hampered by the complicated operations of liquids with volumes ranging from milliliter samples to nanoliter droplets. On the basis of a "3D extensible" design paradigm proposed previously, an integrated droplet digital PCR (IddPCR) microdevice was successfully developed to automate the entire process of liquid biopsy, from the extraction of ctDNA in 2 mL of plasma using magnetic beads to the generation, amplification, and screening of over 30 000 droplets for detection. A series of reagent mixing structures, including macro-, meso-, and micromixers, was designed to enable efficient reagent handling and mixing at different volume scales. The volume thresholds of the microscale and macroscale in the IddPCR device were calculated to be 40 and 100 μL, respectively, based on the fluid dynamics and sizes of the device structures, so that different mixers can be selected according to the reagent volumes. The DNA extraction efficiency obtained on the device was determined to be ∼60%, and the on-chip ddPCR demonstrated a high correlation with an R2 of 0.9986 between the readouts and the estimations by a Poisson distribution. Finally, the IddPCR microdevice was able to detect rare tumor mutations (T790M) with an occurring frequency as low as ∼1% from 2 mL of human plasma in a "sample-to-answer" manner. This work offers a feasible solution for the automation of liquid biopsy and paves the way for its broad applications in clinics.
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Liquid biopsy, a method of detecting genomic alterations using blood specimens, has recently attracted attention as a noninvasive alternative to surgical tissue biopsy. We attempted quantitative analysis to detect amplification of MYCN (MYCNamp) and loss of heterozygosity at 11q (11qLOH), which are clinical requisites as prognostic factors of neuroblastoma (NB). In this study, cell-free DNA (cfDNA) was extracted from plasma samples from 24 NB patients at diagnosis. Copy numbers of MYCN and NAGK genes were quantitatively analyzed by droplet digital PCR (ddPCR). 11qLOH was also assessed by detecting allelic imbalances of heterozygous single nucleotide polymorphisms in the 11q region. The results obtained were compared to those of specimens from tumor tissues. The correlation coefficient of MYCN copy number of cfDNA and tumor DNA was 0.88 (p < 0.00001). 11qLOH was also accurately detected from cfDNA, except for one case with localized NB. Given the high accuracy of liquid biopsy, to investigate components of cfDNA, the proportion of tumor-derived DNA was estimated by examining the variant allele frequency of tumor-specific mutations in cfDNA. The proportion of tumor-derived DNA in cfDNA was 42.5% (range, 16.9%-55.9%), suggesting sufficient sensitivity of liquid biopsy for NB. In conclusion, MYCN copy number and 11qLOH could be quantitatively analyzed in plasma cfDNA by ddPCR assay. These results suggest that plasma cfDNA can be substituted for tumor DNA and can also be applied for comprehensive genomic profiling analysis.
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Circulating tumor DNA (ctDNA) is a component of the "naked" DNA found in blood. It can be isolated from plasma and represents combined genetic material from the primary tumor and metastases. Quantitative and qualitative information about a cancer, including mutations, can be derived using digital polymerase chain reaction and other technologies. This "liquid biopsy" is quicker and more easily repeated than tissue biopsy, yields real-time information about the cancer, and may suggest therapeutic options. All stages of cancer therapy have the ability to benefit from ctDNA, starting with screening for cancer before it is clinically apparent. During treatment of metastatic disease, it is useful to predict response and monitor disease progression. Currently, ctDNA is used in the clinic to select patients who may benefit from epidermal growth factor receptor-targeted therapy in non-small cell lung cancer. In the future, ctDNA technology promises useful applications in every part of clinical oncology care.
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Opportunities and challenges in translational application of ctDNA along with recent developments in chip-based ctDNA detection technologies have been reviewed.
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Liquid biopsy allows the identification of targetable cancer mutations in a minimally invasive manner. In patients with advanced non-small cell lung cancer (NSCLC), droplet digital PCR (ddPCR) is increasingly used to genotype the epidermal growth factor receptor (EGFR) gene in circulating cell-free DNA (cfDNA). However, the sensitivity of this method is still under debate. The aim of this study was to implement and assess the performance of a ddPCR assay for detecting the EGFR T790M mutation in liquid biopsies.A ddPCR assay was optimized to detect the EGFR T790M mutation in plasma samples from 77 patients with NSCLC in progression.Our ddPCR assay enabled the detection and quantification of the EGFR T790M mutation at cfDNA allele frequency as low as 0.5%. The mutation was detected in 40 plasma samples, corresponding to a positivity rate of 52%. The number of mutant molecules per mL of plasma ranged from 1 to 6,000. A re-biopsy was analyzed for 12 patients that had a negative plasma test and the mutation was detected in 2 cases. A second liquid biopsy was performed for 6 patients and the mutation was detected in 3 cases.This study highlights the value of ddPCR to detect and quantify the EGFR T790M mutation in liquid biopsies in a real-world clinical setting. Our results suggest that repeated ddPCR tests in cfDNA may obviate tissue re-biopsy in patients unable to provide a tumor tissue sample suitable for molecular analysis.
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The use of liquid biopsy is of potential high importance for children with high grade (HGG) and diffuse midline gliomas (DMG), particularly where surgical procedures are limited, and invasive biopsy sampling not without risk. To date, however, the evidence that detection of cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) could provide useful information for these patients has been limited, or contradictory.
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