Comprehensive circulating microRNA profile as a supersensitive biomarker for early-stage lung cancer screening.

PURPOSE:  Less-invasive early diagnosis of lung cancer is essential for improving patient survival rates. The purpose of this study is to demonstrate that serum comprehensive miRNA profile is high sensitive biomarker to early-stage lung cancer in direct comparison to the conventional blood biomarker using next-generation sequencing (NGS) technology combined with automated machine learning (AutoML). METHODS: We first evaluated the reproducibility of our measurement system using Pearson's correlation coefficients between samples derived from a single pooled RNA sample. To generate comprehensive miRNA profile, we performed NGS analysis of miRNAs in 262 serum samples. Among the discovery set (57 patients with lung cancer and 57 healthy controls), 1123 miRNA-based diagnostic models for lung cancer detection were constructed and screened using AutoML technology. The diagnostic faculty of the best performance model was evaluated by inspecting the validation samples (74 patients with lung cancer and 74 healthy controls). RESULTS: The Pearson's correlation coefficients between samples derived from the pooled RNA sample ≥ 0.98. In the validation analysis, the best model showed a high AUC score (0.98) and a high sensitivity for early stage lung cancer (85.7%, n = 28). Furthermore, in comparison to carcinoembryonic antigen (CEA), a conventional blood biomarker for adenocarcinoma, the miRNA-based model showed higher sensitivity for early-stage lung adenocarcinoma (CEA, 27.8%, n = 18; miRNA-based model, 77.8%, n = 18). CONCLUSION: The miRNA-based diagnostic model showed a high sensitivity for lung cancer, including early-stage disease. Our study provides the experimental evidence that serum comprehensive miRNA profile can be a highly sensitive blood biomarker for early-stage lung cancer.

A Multi-institutional Study to Diagnose the Risk of Lymph Node Metastasis Using a CRP Genetic Polymorphism Test Kit in pT1, cN0 Thoracic Esophageal Squamous Cell Carcinoma.

BACKGROUND/AIM: For patients with T1a muscularis mucosae (MM) esophageal squamous cell carcinoma (ESCC) with lymphovascular invasion (LVI) or T1b submucosal (SM) ESCC, endoscopic resection is non-curative, and adjuvant treatment entailing esophagectomy or definitive chemoradiotherapy is necessary. This is because about 30% of these cases have lymph node (LN) metastasis. The purpose of this study was to test the utility of a CRP genetic polymorphism test kit for determining the risk of LN metastasis with the aim of eliminating additional invasive adjuvant therapy. PATIENTS AND METHODS: This is a retrospective, multi-institutional, observational study. The CRP 1846C>T genetic polymorphisms were identified using a fully automated genotyping system. The primary end points were an 85% negative predictive value (NPV) for diagnosis of LN metastasis in pT1a (MM) and 80% NPV in pT1b (SM1) patients. RESULTS: A total of 742 ESCC (105 pMM, 166 pSM1 and 471 pSM2-3) patients who had received esophagectomy with 2- or 3-field LN dissection at 65 institutions were enrolled. According to this test, patients with the C/C and C/T genotypes were considered to be low risk. The NPVs using this test were 82.8% in pMM and 71.7% in pSM1 patients. CONCLUSION: CRP 1846C>T genetic polymorphism is not a useful diagnostic indicator for determining the risk of LN metastasis; however, the possibility that CRP gene polymorphisms are involved in the mechanism of lymph node metastasis in solid tumors still remains.

Simultaneous detection of JAK2, CALR, and MPL mutations and quantitation of JAK2 V617F allele burden in myeloproliferative neoplasms using the quenching probe-Tm method in i-densy IS-5320.

INTRODUCTION: Accurate detection of myeloproliferative neoplasms (MPN)-associated gene mutations is necessary to correctly diagnose MPN. However, conventional gene testing has various limitations, including the requirement of skilled technicians, cumbersome experimental procedures, and turnaround time of several days. The gene analyzer i-densy IS-5320 allows gene testing using the quenching probe-Tm method. Specifically, pretreatment of samples including DNA extraction, amplification and detection of genes, and analysis of results are performed in a fully automatic manner after samples and test reagents are added into this system, which is compact and can be easily installed in a laboratory. The aim of this study is to investigate the sensitivity and specificity associated with the simultaneous detection of MPN-associated gene mutations. METHODS: We conducted an analysis of MPN-associated genes using i-densy IS-5320. We analyzed 384 samples (171 JAK2 V617F mutations, 10 JAK2 exon12 mutations, 104 CALR mutations, and 26 MPL mutations) that had been examined using conventional approaches such as allele-specific polymerase chain reaction (PCR), droplet digital PCR, and the direct sequencing method. RESULTS: The detection accuracy of JAK2 V617F, JAK2 exon 12, CALR, and MPL was 100.0% (383/383), 99.7% (383/384), 100.0% (370/370), and 99.7% (377/378), respectively. There was a strong positive correlation between the JAK2 V617F allele burden measured using conventional methods and i-densy IS-5320 (r = .989). CONCLUSION: Overall, i-densy IS-5320 exhibited good accuracy in terms of analyzing MPN-associated genes; thus, it can serve as a replacement for conventional methods of MPN-associated gene testing.

Clinical Significance of Circulating Tumor Cell Induced Epithelial-Mesenchymal Transition in Patients with Metastatic Colorectal Cancer by Single-Cell RNA-Sequencing.

BACKGROUND: Circulating tumor cells (CTCs) are a prognostic marker in patients with metastatic colorectal cancer (mCRC). However, little is known about the characterization of CTCs in mCRC at the single-cell level using RNA sequencing. The purpose of this study was to validate the capability to detect and isolate single CTCs for single-cell RNA sequencing (scRNA-seq) and to identify clinical significance at a single CTC level. METHODS: Single CTCs from 27 mCRC patients were collected by CTC-FIND, which is comprised of filter separation and immunomagnetic depletion to collect ultra-pure CTC samples. To address tumor heterogeneity, CTCs were collected without relying on any traditional CTC markers, such as epithelial and mesenchymal cell antigens, and were undertaken by scRNA-seq using SMART-Seq v4. RESULTS: We identified 59 single CTCs which were classified into four groups by epithelial, epithelial-mesenchymal transition (EMT) and stem cell-related gene expression. Patients receiving second or later-line treatment who had EMT gene expressing CTCs had a significantly shorter PFS and OS. CONCLUSIONS: Exploiting CTC-FIND with SMART-Seq v4 showed that scRNA-seq of CTCs may shed new insight into tumor heterogeneity of mCRC and that the presence of CTCs expressing EMT-related genes at the single-cell level could have prognostic value in mCRC patients.

First-in-Human Evaluation of Positron Emission Tomography/Computed Tomography With [18F]FB(ePEG12)12-Exendin-4: A Phase 1 Clinical Study Targeting GLP-1 Receptor Expression Cells in Pancreas.

Pancreatic ß-cell mass (BCM) has a central importance in the pathophysiology of diabetes mellitus. Recently, pancreatic ß-cell-specific imaging, especially positron emission tomography (PET) with exendin-based probes, has emerged for non-invasive evaluation of BCM. We developed a novel exendin-based probe labeled with fluorine-18, [18F]FB(ePEG12)12-exendin-4 (18F-Ex4) for PET imaging. We subsequently conducted a first-in-human phase 1 study of 18F-Ex4 PET/computed tomography (CT) and investigated the safety and utility for visualizing the pancreas. Six healthy male subjects were enrolled in this study. A low dose (37.0 MBq) of 18F-Ex4 PET/CT was administered (first cohort: n = 2), and subsequently a higher dose (74.0 MBq) was administered (second cohort: n = 4). In the first and second cohorts, 38.6 ± 4.8 and 71.1 ± 4.8 MBq of 18F-Ex4 were administered, respectively. No serious adverse events were observed in both groups. Only one participant in the first cohort showed transient hypoglycemia during the PET scans. 18F-Ex4 PET/CT successfully visualized the pancreas in all participants. The mean standardized uptake value of the pancreas was found to be higher than that in the surrounding organs, except for the bladder and kidney, during the observation. Dosimetry analyses revealed the effective systemic doses of 18F-Ex4 as 0.0164 ± 0.0019 mSv/MBq (first cohort) and 0.0173 ± 0.0020 mSv/MBq (second cohort). 18F-Ex4 PET/CT demonstrated the safety and utility for non-invasive visualization of the pancreas in healthy male subjects. 18F-Ex4 is promising for clinical PET imaging targeting pancreatic ß cells.

Analysis of the Circulating Tumor Cell Capture Ability of a Slit Filter-Based Method in Comparison to a Selection-Free Method in Multiple Cancer Types.

Circulating tumor cells (CTCs) are a promising biomarker for cancer liquid biopsy. To evaluate the CTC capture bias and detection capability of the slit filter-based CTC isolation platform (CTC-FIND), we prospectively compared it head to head to a selection-free platform (AccuCyte®-CyteFinder® system). We used the two methods to determine the CTC counts, CTC positive rates, CTC size distributions, and CTC phenotypes in 36 patients with metastatic cancer. Between the two methods, the median CTC counts were not significantly different and the total counts were correlated (r = 0.63, p < 0.0001). The CTC positive rate by CTC-FIND was significantly higher than that by AccuCyte®-CyteFinder® system (91.7% vs. 66.7%, p < 0.05). The median diameter of CTCs collected by CTC-FIND was significantly larger (13.0 µm, range 5.2-52.0 vs. 10.4 µm, range 5.2-44.2, p < 0.0001). The distributions of CTC phenotypes (CK+EpCAM+, CK+EpCAM- or CK-EpCAM+) detected by both methods were similar. These results suggested that CTC-FIND can detect more CTC-positive cases but with a bias toward large size of CTCs.

Cancer marker-free enrichment and direct mutation detection in rare cancer cells by combining multi-property isolation and microfluidic concentration.

Genetic analysis, rather than simply counting the number of circulating tumor cells (CTCs), which are rare cancer cells in peripheral blood, has great potential for non-invasive biopsy or "liquid biopsy." However, a practical problem in conventional enrichment of CTCs is that the isolated target cells are mixed with numerous residual leukocytes, and are suspended in a large volume. Hence, further isolation (i.e., cytokeratin (CK)-positive cell picking) or DNA purification is required for downstream genetic analysis after isolation. Here, we propose a novel cancer marker-free method of CTC enrichment by size-based Filtration and Immunomagnetic Negative selection followed by Dielectrophoretic concentration (CTC-FIND) for direct detection of genetic mutations in rare cancer cells suspended in whole blood. A combination of two independent isolation methods based on physical (filtration) and biochemical properties (immunomagnetic negative selection) in CTC-FIND allowed highly efficient cancer marker-free purification (5.1-log depletion of leukocytes). The isolated cells were trapped and concentrated using a microfluidic step-channel device using dielectrophoresis for discrimination and downstream genetic analysis. The feasibility of cancer marker-free enrichment by CTC-FIND was successfully demonstrated by directly detecting mutations in various cancer cells with a very high sensitivity of 1 cell per mL, including EpCAM and CK-negative cells, which were used to spike 8 mL of whole blood. Thus, CTC-FIND can be used with liquid biopsy to detect genetic mutations in wide-ranging CTC subsets, independent of cancer cell-specific marker expression.

Mechanisms of acquired resistance to afatinib clarified with liquid biopsy.

Although mechanisms of acquired resistance to 1st and 3rd generation EGFR-TKI continue to be elucidated, there have been few clinical investigations into the mechanisms of acquired resistance to the 2nd generation EGFR-TKI afatinib. We analyzed data from 20 patients with advanced lung adenocarcinoma who acquired resistance to afatinib, including resistance during EGFR-TKI re-challenge. We examined EGFR T790M and C797S mutations, BRAF V600E mutation, and MET amplification with the MBP-QP method and with droplet digital PCR using ctDNA and re-biopsy samples obtained before and after afatinib treatment. Just before afatinib treatment, 15 of the 20 patients were T790M negative and five were positive. Among the T790M negative patients, 40.0% (6/15) became positive at the time of PD under afatinib. In patients positive for T790M, changes in T790M allele frequency were correlated with afatinib treatment efficacy. C797S was not detected in any patients just before afatinib treatment, but it appeared after treatment in three patients, although with very low allele frequency. Two of these three patients, although positive for both C797S and T790M, achieved PR to osimertinib. However, PFS of these patients was somewhat shorter than that of patients positive for T790M only. BRAF V600E was detected in one patient at PD under afatinib. MET amplification was not detected in this study. T790M is associated with acquired resistance to afatinib, as with 1st generation EGFR-TKI, but with somewhat lower frequency. The influence of C797S on resistance to afatinib is less than that of T790M, but C797S might cause shorter PFS under osimertinib.

Investigation of appropriate pre-analytical procedure for circulating free DNA from liquid biopsy.

Liquid biopsy with circulating free DNA (cfDNA) is a recommended alternative method of re-biopsy. Quality control with cfDNA is indispensable for precise examinations, and it is desirable to achieve high-quality cfDNA separation. We investigated two issues: the influence of pre-analytical procedures on cfDNA analysis performed as a routine procedure in a standard clinical laboratory, and the extent of deterioration of cfDNA quality due to long-term storage. Comparisons among blood collection tube types, storage temperatures, and periods of blood separation were performed in terms of cfDNA quantification, cfDNA size distribution, and detection of EGFR mutations. Quality of cfDNA was better with collection tubes containing 3.2% sodium citrate than with those containing EDTA 2K, and was maintained with storage at 4° C for up to 72 h after blood collection, equivalent to results with cell-stabilizing blood collection tubes. Analysis of cfDNA stored for 7 years showed that samples with low allele frequency (AF) deteriorated more readily than samples with high AF. Despite the same storage period and extraction method, AF of plasma stored for 7 years was remarkably lower than that of cfDNA. However, deterioration due to long-term plasma storage was overcome by changing the DNA extraction method from a silica membrane spin column to a cellulose magnetic beads system. These results can guide the establishment of standardized pre-analytical procedures for liquid biopsy with cfDNA.

Automated DNA extraction using cellulose magnetic beads can improve EGFR point mutation detection with liquid biopsy by efficiently recovering short and long DNA fragments.

The clinical utility of plasma DNA for detecting cancer-specific mutations has rapidly achieved recognition, but reliability has not been established because of relatively low mutation-detection rates compared with those from tissue re-biopsy. To address this shortcoming we examined efficiency, in terms of mutation detection, of an automated DNA extraction system that uses cellulose magnetic beads. A fully automated, highly sensitive point-mutation-detection method, mutation-biased PCR and quenching probe (MBP-QP) system, was used for this study. Plasma DNA was extracted from 61 plasma samples collected from patients with advanced non-small cell lung cancer. Extraction was performed manually with 200 µl plasma (200-M) by using a silica membrane spin column system or an automated system using 200 µl (200-A) or 1000 µl (1000-A) plasma. Median DNA yield quantified by real-time PCR was 4.4, 4.5, and 17.3 ng with the three methods, respectively. Sensitivity for detecting epidermal growth factor receptor (EGFR) L858R point mutation was 36.6%, 58.5%, and 77.5%, and specificity was 93.3%, 100%, and 96.7%, respectively. Concordance rates were 60.6%, 76.1%, and 85.7%. The size distribution of plasma DNA with automated extraction was bimodal with modes at about 170 bp and 5 Kb, and plasma DNA of both sizes included tumor-derived DNA. In this report, we demonstrate that automated DNA extraction using cellulose magnetic beads can improve mutation-detection rates with plasma DNA in association with two overall sizes of DNA fragments recovered by this DNA isolation system. Examining the biological characteristics of these fragments will be the subject of further investigation.

PIK3CA mutation profiling in patients with breast cancer, using a highly sensitive detection system.

PIK3CA mutations are common activating mutations associated with breast cancer (occurring in 20-30% of all cases) and are potent predictive markers for responses to PI3K inhibitors. Thus, it is important to develop sensitive methods to detect these mutations. We established a novel detection method using a quenching probe (QP) system to identify PIK3CA mutations, using DNA from 309 breast cancer tissues. In a developmental cohort, we determined the optimal detection threshold of the QP system with human tumor DNA from 119 freshly frozen tumor samples. We found a 96% concordance rate with the QP system between DNA from 26 matching fresh-frozen specimens and formalin-fixed paraffin-embedded (FFPE) specimens from the same patients, and known PIK3CA mutation status in the developmental cohort. In a validation cohort, we evaluated whether the threshold for judging mutations using the QP system with frozen specimen-derived DNA was applicable with FFPE-derived DNA. In the validation cohort, 30 DNA samples from 190 FFPE-derived DNA samples with known PIK3CA mutation status were analyzed by direct sequencing (DS) and droplet digital PCR, in a blinded manner. The sensitivity and specificity of the droplet digital PCR results were 100% and 100% (QP system), and 60% and 100% (DS), respectively. We also analyzed the relationship between clinical outcomes and the PIK3CA mutational status of 309 breast cancer samples, including the developmental cohort and validation cohort samples. Multivariate analysis suggested that PIK3CA mutations, especially H1047R, were prognostic factors of relapse-free survival. Our novel detection system could be more useful than DS for detecting clinical PIK3CA mutations.

Plasma T790M and HGF as potential predictive markers for EGFR-TKI re-challenge.

Re-challenge with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) has been suggested to potentially improve survival in certain populations of patients with advanced lung cancer, but predictive markers for the success of EGFR-TKI re-challenge have not been identified. The present study analyzed 16 re-challenges with EGFR-TKI undertaken in 12 patients with lung adenocarcinoma by investigating T790M and hepatocyte growth factor (HGF) in plasma coupled with clinical characteristics. EGFR mutations in plasma DNA were detected using the wild inhibiting PCR and quenched probe system for exon 19 deletions, and T790M and L858R were detected using the mutation-biased PCR and quenched probe system. HGF levels in the plasma were measured by enzyme-linked immunosorbent assay, and the ratio of HGF levels prior to re-challenge to those prior to the previous EGFR-TKI treatment was calculated. Two re-challenges demonstrated partial response, six remained as stable disease and eight had progressive disease (PD). A total of 4 of the 5 patients with a history of T790M positivity based on plasma DNA levels had PD. A total of 7 of the 8 patients who had ≥1.5-fold elevation of HGF prior to re-challenge with EGFR-TKI suffered PD. Elevation of the HGF ratio to ≥1.5 was significantly associated with poor response to EGFR-TKI re-challenge. Having no history of T790M and an HGF ratio <1.5 was significantly associated with a positive response to EGFR-TKI re-challenge. A combination of T790M detection and HGF quantification using plasma is a potentially useful assay system for predicting the effect of EGFR-TKI re-challenge. Future prospective studies are required to confirm the predictive validity of these markers.

Detection of KRAS Mutations in Plasma DNA Using a fully Automated Rapid Detection System in Colorectal Cancer Patients.

KRAS mutations have been recognized as predictive markers of primary resistance to anti-EGFR-antibodies in colorectal cancer patients. In addition, newly detected KRAS mutations have been reported to be related with acquired resistance to chemotherapy containing anti-EGFR antibody. Considering this evidence, monitoring of KRAS mutations is indispensable for making treatment decisions, and the method should be non-invasive allowing repeated examinations. Recently, we established a novel automated sensitive detection system for KRAS mutations, named mutation-biased PCR quenching probe system (MBP-QP). The goal of our study was to investigate the potential for monitoring KRAS mutations during treatment with anti-EGFR antibodies. The detection limit of MBP-QP using a control plasmid containing KRAS mutations was 1-9 copies, and 0.05-0.3% mutant plasmid was detectable in a mixture of wild type and mutants. One-hundred twenty colorectal cancer patients were genotyped for KRAS mutations with MBP-QP as well as polymerase chain reaction reverse sequence-specific oligonucleotide (PCR-rSSO), which has already been applied to cancer tissue samples in the clinical setting. Concordance rates between plasma DNA and cancer tissues were 68% with MBP-QP and 66% with PCR-rSSO, indicating that these systems are equivalent in terms of detecting KRAS mutations with plasma DNA. KRAS mutations in plasma DNA were frequently observed in systemic metastatic cancer patients, and in three patients KRAS mutations appeared after chemotherapy containing anti-EGFR antibody. A prospective study is needed for clarifying whether KRAS mutations detected in plasma DNA are predictive markers of treatment efficacy with anti-EGFR antibody.

A novel approach to detect KRAS/BRAF mutation for colon cancer: Highly sensitive simultaneous detection of mutations and simple pre-treatment without DNA extraction.

It has been reported that colon cancer patients with KRAS and BRAF mutations that lie downstream of epidermal growth factor receptor (EGFR) acquire resistance against therapy with anti­EGFR antibodies, cetuximab and panitumumab. On the other hand, some reports say KRAS codon 13 mutation (p.G13D) has lower resistance against anti-EGFR antibodies, thus there is a substantial need for detection of specific KRAS mutations. We have established a state-of-the-art measurement system using QProbe (QP) method that allows simultaneous measurement of KRAS codon 12/13, p.G13D and BRAF mutation, and compared this method against Direct Sequencing (DS) using 182 specimens from colon cancer patients. In addition, 32 biopsy specimens were processed with a novel pre-treatment method without DNA purification in order to detect KRAS/BRAF. As a result of KRAS mutation measurement, concordance rate between the QP method and DS method was 81.4% (144/177) except for the 5 specimens that were undeterminable. Among them, 29 specimens became positive with QP method and negative with DS method. BRAF was measured with QP method only, and the mutation detection rate was 3.9% (6/153). KRAS measurement using a simple new pre-treatment method without DNA extraction resulted in 31 good results out of 32, all of them matching with the DS method. We have established a simple but highly sensitive simultaneous detection system for KRAS/BRAF. Moreover, introduction of the novel pre-treatment technology eliminated the inconvenient DNA extraction process. From this research achievement, we not only anticipate quick and accurate results returned in the clinical field but also contribution in improving the test quality and work efficiency.

A novel detection strategy for living circulating tumor cells using 5-aminolevulinic acid.

Most circulating tumor cell (CTC) detection methods have technical limitations, allowing the detection of only cells expressing epithelial antigens, and they cannot identify if the CTCs are alive or dead. Herein, we constructed a novel CTC detection system comprised of filter separation and 5-aminolevulinic acid (5-ALA)-based labeling, termed "Fs-ALA". Blood specimens (7.5 mL) were subjected to this method. Cells enriched on the filter were incubated with 5-ALA and Hoechst 33342 as positive markers for CTCs. Images of the whole filter surface were obtained using a fluorescence microscope. No 5-ALA positive cells were detected in healthy blood specimens. The Fs-ALA method was capable of detecting not only EpCAM-positive, but also EpCAM-negative tumor cells. In the Fs-ALA method, one or more CTCs were detected in samples from 13 of 18 (72.2%) colorectal cancer patients. The Fs-ALA method had a significantly higher CTC detection rate than CellSearch™ in colorectal cancer patients (P <0.05), and only the former was capable of identifying live cells. This method is highly efficient for detecting CTC populations having undergone phenotypic changes, such as epithelial-mesenchymal transition.

Development of a novel, fully-automated genotyping system: principle and applications.

Genetic testing prior to treatment, pharmacogenetic analysis, is key to realizing personalized medicine which is a topic that has attracted much attention recently. Through the optimization of therapy selection and dosage, a reduction in side effects is expected. Genetic testing has been conducted as a type of pharmacogenetic analysis in recent years, but it faces challenges in terms of cost effectiveness and its complicated procedures. Here we report on the development of a novel platform for genetic testing, the i-densy™, with the use of quenching probe system (QP-system) as principle of mutant detection. The i-densy™ automatically performs pre-treatment, PCR and detection to provide the test result from whole blood and extracted DNA within approximately 90 and 60 min, respectively. Integration of all steps into a single platform greatly reduces test time and complicated procedures. An even higher-precision genetic analysis has been achieved through the development of novel and highly-specific detection methods. The applications of items measured using the i-densy™ are diverse, from single nucleotide polymorphism (SNP), such as CYP2C19 and UGT1A1, to somatic mutations associated with cancer, such as EGFR, KRAS and JAK2. The i-densy™ is a useful tool for optimization of anticancer drug therapy and can contribute to personalized medicine.

Application of a highly sensitive detection system for epidermal growth factor receptor mutations in plasma DNA.

INTRODUCTION: : Detection of epidermal growth factor receptor (EGFR) mutations is indispensable to determine an appropriate lung cancer treatment. Although retreatment often prolongs survival, how to select the appropriate population for retreatment has not been clarified. METHODS: : We used novel methods to identify EGFR mutations: wild inhibiting polymerase chain reaction (PCR) and quenched probe system (WIP-QP) for exon 19 deletions and mutation-biased PCR and quenched probe system for L858R. After the detection limits were determined, we examined DNA isolated from lung cancer specimens and circulating plasma DNA samples of 39 adenocarcinoma patients whose primary tumors harbored EGFR exon 19 deletions or L858R. RESULTS: : Detection limit was 0.005 to 0.04 ng in genomic DNA and 0.1% to 0.3% in mutant plasmids. The results of cancer tissue specimens were identical to those with existing systems (nucleic acid-locked nucleic acid PCR clamp or cycleave PCR), except for two samples that showed both exon 19 deletions and L858R. One of the two samples was confirmed to harbor L858R mutation by allele-specific oligonucleotide PCR; the other one did not. Exon 19 deletions and L858R were detected in 44.7% and 8.7% of patients, using plasma DNA, among those who carried the identical abnormalities in primary tumors all of cases that evidenced pathological stage IV except for one patient, suggesting that EGFR mutations might be preferentially detected in plasma DNA obtained from patients in advanced stages. Serial monitoring of these mutations with T790M, a gate keeper mutation, demonstrated correlation with disease state. CONCLUSIONS: : Our novel detection systems for EGFR mutations could be useful not only at the beginning of treatment but also for monitoring using plasma DNA for deciding appropriate treatment, including rechallenge with EGFR-tyrosine kinase inhibitors.

A noninvasive system for monitoring resistance to epidermal growth factor receptor tyrosine kinase inhibitors with plasma DNA.

INTRODUCTION: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors are widely used to treat lung adenocarcinomas with EGFR-activating mutations. However, half of the patients acquire resistance because of the gatekeeper T790M mutation. Noninvasive mutation detection system is desired considering the difficulty in obtaining tissue specimens during disease progression. METHODS: Sixty-seven plasma DNA samples from 49 patients with lung adenocarcinoma and 30 healthy volunteers were evaluated. T790M in plasma DNA was determined using the mutation-biased polymerase chain reaction (PCR) quenching probe (MBP-QP) method. The method combines MBP and genotyping, the latter based on analysis of the melting curve of the probe DNA binding the target mutated site using a fluorescence QP system. RESULTS: The detection limit was two copies of control plasmid and 0.2 ng of genomic DNA. The mutant plasmid could be detected when it accounted for as little as 0.3% of a mixture of plasmids carrying EGFR exon 20 with or without T790M. The T790M mutation was detected in plasma DNA from 10 of 19 patients (53%) who acquired resistance, but not in nonresponders, patients responding to treatment, or those not treated with EGFR tyrosine kinase inhibitor. Other mutation detection systems, such as the nucleic acid-locked nucleic acid PCR clamp, the cycleave PCR technique, and allele-specific oligonucleotide PCR, detected T790M in three, four, and six patients, respectively, among 10 in which T790M was detected by the MBP-QP method. CONCLUSIONS: The MBP-QP method is simple, sensitive, and-intriguingly-reflective of clinical course, compared with the other three mutation-detection systems. Thus, the MBP-QP method is an ideal noninvasive monitoring system for detecting T790M in plasma samples.

Fully automated and super-rapid system for the detection of JAK2V617F mutation.

JAK2V617F is a common mutation in chronic myeloproliferative diseases (CMPDs). We have developed a system utilizing JAK2V617F-specific guanine quenching probe (QP-system) to detect JAK2V617F. With QP-system, results can be obtained from 100 microl of blood within 90 min. We compared QP-system with direct sequencing using 42 CMPD patients' specimens. JAK2V617F was detected in 25 specimens by QP-system, while direct sequencing failed to detect JAK2V617F in 7 of those 25. The presence of JAK2V617F mutation in these 7 specimens was confirmed by allele-specific PCR. These findings indicate that QP-system is more sensitive and useful than direct sequencing for diagnoses of CMPDs.