Six-Color Multiplex Digital PCR Assays for Comprehensive Screening and Identification of Multiple Driver Mutations Associated with Pancreatic Carcinogenesis.

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Digital polymerase chain reaction (dPCR) is widely recognized for its high sensitivity in detecting low-frequency variants; however, conventional 2-color systems have limited multiplex capacity. Expanding this capability is essential for simultaneous detection of multiple driver mutations in cancer-related genes. KRAS and GNAS are key driver genes in the early development of pancreatic cancer and its precursor lesions, and mutations in these genes are often present at low abundance in clinical samples. Two 6-color dPCR assays were developed using a droplet-based platform. PlexScreen-dPCR is a multicolored drop-off assay designed to screen for mutations in KRAS codons 12/13 and 61 and GNAS codon 201, without specifying individual variants. PlexID-dPCR employs variant-specific probes to distinguish among 14 predefined KRAS and GNAS mutations in a single reaction. The assays were validated using synthetic DNA, cell lines, 23 tissue samples, and 12 duodenal fluid samples. Customized primer/probe sets with 6 fluorophores were employed in a 6-color droplet dPCR system, and the limits of detection (LOD) were determined. PlexScreen-dPCR, applied in contrived samples, demonstrated LODs as low as 0.03% to 0.06%, enabling high-sensitivity detection of low-abundance mutations. PlexID-dPCR accurately identified all 14 variants in a single well. Both assays showed complete concordance with conventional methods, exhibiting a strong correlation for variant allele frequency quantification. These 6-color dPCR assays offer scalable solutions for improved throughput detection of KRAS and GNAS mutations. Their compatibility with commercially available platforms and streamlined workflow support their integration into clinical practice. Further optimization can enhance cluster interpretation in high-plex settings and facilitate expansion toward broader genomic targets.

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[Background] It is well known that emerging mutations which is not found in the primary tumor exist in metastatic tumor and molecular therapy induce emerging mutation. Liquid biopsy, which includes circulating tumor cell (CTC) and circulating tumor DNA (ctDNA), may help detecting this spatial and temporal heterogeneity. We have reported that emerging KRAS mutation can be detected by using ctDNA (Yamada et al, Cancer Science 2016). However, mutation detection by using CTC has been difficult because enough amount of DNA cannot be extracted from CTC. Currently we have been able to collect more CTC than before, by using a new device which uses 3 antibodies (EpCAM, Her2, Trop2). In this study, we evaluated the potential to detect colorectal cancer (CRC) related gene mutations from CTC, and compared it with ctDNA. [Methods] Cohort 1: This cohort included untreated CRC patients. Tumor tissue was collected from each patient, either by primary surgery or by colonoscopic biopsy. DNA was extracted from tumor tissue and was analyzed using Next Generation Sequencing (NGS). Ten mL of whole blood was also collected from the same patient. CTC, serum and white blood cell (WBC) was collected by using the CTC recovery machine (Ion Torrent Liquid Biopsy Instrument®). Cytokeratin positive, DAPI positive, CD45 negative cells were defined as CTC. DNA was extracted from each sample (CTC-DNA, ctDNA, WBC-DNA) and was analyzed using NGS. Cohort 2: This cohort included unresectable CRC patients with KRAS mutation in their primary tumor. All patients in this cohort were under treatment or after completion of chemotherapy. CTC and ctDNA was collected in the same method as cohort 1. KRAS mutations of CTC and ctDNA were detected by using digital PCR (dPCR). [Results] Cohort 1: We enrolled 16 CRC patients (stage II: n=2, stage III: n=2, stage IV: n=12). A total of 30 somatic, hotspot mutations were detected from tumor tissue DNA. The median number of the detected mutation for each patient was 2 (0-4). The most frequent gene mutation was APC, followed by KRAS and TP53. In all patients, CTC was successfully collected. The median number of the CTC was 34 cells (5-94). However, only 6 somatic, mutations were detected from CTC-DNA. Conversely, 16 somatic mutations were detected from ctDNA. Cohort 2: We enrolled 14 stage IV CRC patients with KRAS mutation in their primary tumor. CTC was collected from 9 patients but not from 5 patients. In the 9 patients CTC was collected, the median number of the collected CTC was 26 cells (5-121). By dPCR, KRAS mutation was detected in 2 patients (2/14) from CTC-DNA, and 4 patients (4/14) from ctDNA. [Conclusions] The new CTC capturing technology using 3 antibodies can improve detection rate and yield of CTC. However, in patients undergoing chemotherapy, the amount of CTC and ctDNA drastically reduces. At present, ctDNA is superior to CTC in potential to detect mutations, and dPCR is more sensitive than NGS to detect mutations. Citation Format: Kohki Takeda, Takeshi Yamada, Michihiro Koizumi, Seiichi Shinji, Yasuyuki Yokoyama, Goro Takahashi, Masahiro Hotta, Takuma Iwai, Keisuke Hara, Hiroyasu Furuki, Eiji Uchida. Detection of colorectal cancer related gene mutations from CTC and ctDNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4594.

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Differential expression of GNAS and KRAS mutations in pancreatic cysts.
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  • 10.1186/s40064-016-2847-4
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  • Jul 26, 2016
  • SpringerPlus
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Circulating tumor cell becomes an urgent issue in personalized cancer treatment studies. AS the liquid biopsy, many previous reports showed the number and the characteristic of CTC are very important for patient prognosis. In cancer therapy, specific gene mutation in primary tumor decides the therapy strategy and drug response. However, the patient who cannot perform an operation or take biopsy would become a risk factor for treatment and affect therapy outcome. Hence, drug treatable related gene mutation detection by CTC is necessary. Platforms for mutation detection in tissue were well established but less useful for CTC. Most of them were lower efficacy for rare cell or DNA. In order to solve this dilemma, scientists use next-generation sequence (NGS) or droplet digital PCR (ddPCR) for gene mutation detection. But, in most clinical situations, we only have to follow-up some specific gene mutation, instead of many mutant types. Thus, we eager to develop a fast and low-cost methodology for drug treatable related gene mutation detection by CTC. In this study, 4mL blood was collected by EDTA vacuum blood collection tube from 37 patients. Whole blood was processed with RBC lyse steps, then added CD45 and glycophorin A antibodies conjugated with the nanoparticle to remove leukocyte and remained RBC. Further, Genomic DNA was extracted from negative selection cell mixture. An ARMS-PCR (Amplification-refractory mutation system PCR) combined with a touchdown PCR program was used for EGFR mutations identification. We enrolled 31 lung cancer patients. Nineteen patients’ CTC were matched with tissue mutation results (14 mutant and 5 wild-types), and 12 unmatched. In those 12 patients, 2 patients with mutant tissue but wild-type CTC due to their blood were drawn at disease-free status after long-term therapy, 4 patients with wild-type tissue but mutant CTC were still had tumor burden after therapy and need to more long-term follow-up. Overall, we have a mutation correlation rate of (19 + 2) / 31 = 68% between CTC and primary tumor. Furthermore, an LNA-PCR (Locked nucleic acid PCR) system was designed for colorectal cancer KRAS codon 12 and codon 13 mutations detection. In this platform, modified RNA was designed for blocked wild-type DNA amplification in PCR. We enrolled 6 patients with primary tumor mutant positive, 5 of 6 (83%) patients were also mutant positive in their CTC sample. In conclusion, an easy CTC isolation platform and PCR design could hugely help cancer patient mutation detection. Only less than 4 hours and 100 USD were needed for drug treatable gene mutation detection by CTC. Citation Format: Hung-Chih Lin, Yu-Lin Yang, Chia-Hsun Hsieh. Label-free circulating tumor cells isolation platform for lung cancer EGFR mutation identification and colorectal cancer with KRAS mutation detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3422.

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