Identification of Salivary Microorganisms and Metabolites Associated with Halitosis.

Halitosis is mainly caused by the action of oral microbes. The purpose of this study was to investigate the differences in salivary microbes and metabolites between subjects with and without halitosis. Of the 52 participants, 22 were classified into the halitosis group by the volatile sulfur compound analysis on breath samples. The 16S rRNA gene amplicon sequencing and metabolomics approaches were used to investigate the difference in microbes and metabolites in saliva of the control and halitosis groups. The profiles of microbiota and metabolites were relatively different between the halitosis and control groups. The relative abundances of Prevotella, Alloprevotella, and Megasphaera were significantly higher in the halitosis group. In contrast, the relative abundances of Streptococcus, Rothia, and Haemophilus were considerably higher in the control group. The levels of 5-aminovaleric acid and n-acetylornithine were significantly higher in the halitosis group. The correlation between identified metabolites and microbiota reveals that Alloprevotella and Prevotella might be related to the cadaverine and putrescine pathways that cause halitosis. This study could provide insight into the mechanisms of halitosis.

Validation of the GenesWell BCT Score in Young Asian Women With HR+/HER2- Early Breast Cancer.

BACKGROUND: The prognostic or predictive value of commonly used multigene assays in young patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) early breast cancer is unclear. In this study, we assessed the prognostic value of the GenesWell BCT assay according to age group. METHODS: We identified patients with pN0-1, HR+/HER2- breast cancer in a prospective cohort of women who underwent surgery between 2005 and 2017. The GenesWell BCT assay was performed on tissue samples from selected patients. Distant metastasis-free survival (DMFS) and disease-free survival (DFS) were compared between the risk groups assigned by the BCT score. RESULTS: A total of 712 patients were eligible for analysis. The median follow-up time was 7.47 years. The BCT score was prognostic in patients aged ≤50 years (n = 404) and those aged >50 years (n = 308). In both age groups, the 10-year DMFS and DFS rates for patients classified as high risk by the BCT score were significantly lower than those for patients classified as low risk. A multivariate analysis revealed that the BCT score was an independent prognostic factor for DFS in patients aged ≤50 years (hazard ratio, 1.28; 95% CI, 1.05-1.56; P = 0.015), as well as those aged >50 years. CONCLUSION: The BCT score could be used to identify low-risk patients who will not benefit from adjuvant chemotherapy to treat HR+/HER2- early breast cancer regardless of age. A further prospective study to assess the prognostic and predictive value of the BCT score is required.

Comparison of GenesWell BCT Score With Oncotype DX Recurrence Score for Risk Classification in Asian Women With Hormone Receptor-Positive, HER2-Negative Early Breast Cancer.

Introduction: The GenesWell Breast Cancer Test (BCT) is a recently developed multigene assay that predicts the risk of distant recurrence in patients with early breast cancer. Here, we analyzed the concordance of the BCT score with the Oncotype DX recurrence score (RS) for risk stratification in Asian patients with pN0-N1, hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancer. Methods: Formalin-fixed, paraffin-embedded breast cancer tissues previously analyzed using the Oncotype DX test were assessed using the GenesWell BCT test. The risk stratification by the two tests was then compared. Results: A total of 771 patients from five institutions in Korea were analyzed. According to the BCT score, 527 (68.4%) patients were classified as low risk, and 244 (31.6%) as high risk. Meanwhile, 134 (17.4%), 516 (66.9%), and 121 (15.7%) patients were categorized into the low-, intermediate-, and high-risk groups, respectively, according to the RS ranges used in the TAILORx. The BCT high-risk group was significantly associated with advanced lymph node status, whereas no association between RS risk groups and nodal status was observed. The concordance between the two risk stratification methods in the overall population was 71.9% when the RS low-risk, and intermediate-risk groups were combined into one group. However, poor concordance was observed in patients aged ≤50 years and in those with lymph node-positive breast cancer. Conclusions: The concordance between the BCT score and RS was low in women aged ≤50 years or with lymph node-positive breast cancer. Further studies are necessary to identify more accurate tests for predicting prognosis and chemotherapy benefit in this subpopulation.

Droplet digital PCR-based EGFR mutation detection with an internal quality control index to determine the quality of DNA.

In clinical translational research and molecular in vitro diagnostics, a major challenge in the detection of genetic mutations is overcoming artefactual results caused by the low-quality of formalin-fixed paraffin-embedded tissue (FFPET)-derived DNA (FFPET-DNA). Here, we propose the use of an 'internal quality control (iQC) index' as a criterion for judging the minimum quality of DNA for PCR-based analyses. In a pre-clinical study comparing the results from droplet digital PCR-based EGFR mutation test (ddEGFR test) and qPCR-based EGFR mutation test (cobas EGFR test), iQC index ≥ 0.5 (iQC copies ≥ 500, using 3.3 ng of FFPET-DNA [1,000 genome equivalents]) was established, indicating that more than half of the input DNA was amplifiable. Using this criterion, we conducted a retrospective comparative clinical study of the ddEGFR and cobas EGFR tests for the detection of EGFR mutations in non-small cell lung cancer (NSCLC) FFPET-DNA samples. Compared with the cobas EGFR test, the ddEGFR test exhibited superior analytical performance and equivalent or higher clinical performance. Furthermore, iQC index is a reliable indicator of the quality of FFPET-DNA and could be used to prevent incorrect diagnoses arising from low-quality samples.

A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

To make an optimal treatment decision for early stage breast cancer, it is important to identify risk of recurrence. Here, we developed and validated a new prognostic model for predicting the risk of distant metastasis in patients with pN0-N1, hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer treated with hormone therapy alone. RNA was extracted from formalin-fixed, paraffin-embedded tumor tissues and gene expression was measured by quantitative real-time reverse transcription-PCR. The relative expression of six novel prognostic genes was combined with two clinical variables (nodal status and tumor size) to calculate a risk score (BCT score). In the validation cohort treated with hormone therapy alone, the 10 year rate of distant metastasis in the high-risk group (26.3%) according to BCT score was significantly higher than that in the low-risk group (3.8%) (P < 0.001). Multivariate analysis adjusted for clinical variables revealed that BCT score is an independent predictor of distant metastasis. Moreover, the C-index estimate revealed that BCT score has a prognostic power superior to that of prognostic models based on clinicopathological parameters. The BCT score outperforms prognostic models based on traditional clinicopathological factors and predicts the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

Genome-wide identification and validation of a novel methylation biomarker, SDC2, for blood-based detection of colorectal cancer.

Aberrant DNA methylation has shown promise as a biomarker for the early detection of cancer. To discover novel genes frequently methylated at an early stage in colorectal cancer (CRC), DNA microarray analysis coupled with enriched methylated DNA was performed in primary tumors and compared with adjacent nontumor tissues of 12 patients with CRC at stages I to IV. Stepwise filtering for candidate selection in microarray data analysis yielded a set of genes that are highly methylated across all CRC tumors and that can be used as a composite biomarker for CRC detection. Verification assay identified the SDC2 gene as a potential methylation biomarker for early CRC detection. In clinical validation in tissues from 139 CRC patients, a much higher level of aberrant SDC2 methylation was measured in most primary tumors (97.8%), compared with corresponding nontumor tissue of CRC patients, irrespective of clinical stage. Clinical validation of SDC2 methylation in serum DNA from CRC patients (n = 131) at stages I to IV and from healthy individuals (n = 125) by quantitative methylation-specific PCR demonstrated a high sensitivity of 87.0% (95% CI, 80.0% to 92.3%) in detecting cancers, with a specificity of 95.2% (95% CI, 89.8% to 98.2%). Importantly, sensitivity at stage I was 92.3%, indicating the potential of SDC2 methylation as a blood-based DNA test for early detection of CRC.

Hypermethylation of EBF3 and IRX1 genes in synovial fibroblasts of patients with rheumatoid arthritis.

Rheumatoid arthritis (RA) is a chronic, systemic inflammatory disease of unknown origin, which exhibits a complex heterogeneity in its pathophysiological background, resulting in differential responses to a range of therapies and poor long-term prognosis. RA synovial fibroblasts (RASFs) are key player cells in RA pathogenesis. Identification of DNA methylation biomarkers is a field that provides potential for improving the process of diagnosis and prognosis of various human diseases. We utilized a genome-wide technique, methylated DNA isolation assay (MeDIA), in combination with a high resolution CpG microarray for discovery of novel hypermethylated genes in RASFs. Thirteen genes (APEX1, EBF3, EGR2, EN1, IRX1, IRX6, KIF12, LHX2, MIPOL1, SGTA, SIN3A, TOLLIP, and ZHX2) with three consecutive hypermethylated probes were isolated as candidate genes through two CpG microarrays. Pyrosequencing assay was performed to validate the methylation status of TGF-ß signaling components, EBF3 and IRX1 genes in RASFs and osteoarthritis (OA) SFs. Hypermethylation at CpG sites in the EBF3 and IRX1 genes was observed with a high methylation index (MI) in RASFs (52.5% and 41.4%, respectively), while a lower MI was observ ed in OASFs and h ealthy SFs (13.2% for EBF3 and 4.3% for IRX1). In addition, RT-PCR analysis showed a remarkable decrease in their mRNA expression in the RA group, compared with the OA or healthy control, and their reduction levels correlated with MI. The current findings suggest that methylation-associated down-regulation of EBF3 and IRX1 genes may play an important role in a pathogenic effect of TGF-ß on RASFs. However, further clinical validation with large numbers of patients is needed in order to confirm our findings.

A novel method for multiplex genotyping in a single reactor using GTPlex-PyroSeq: genotyping HPV as a prototype.

Herein, we describe a novel multiplex genotyping method, GTPlex-PyroSeq. This method consists of two phases: multiplex PCR followed by a single reaction of pyrosequencing. This study demonstrates how GTPlex-PyroSeq can be adapted for the determination of multiple human papillomavirus (HPV) genotypes. A biotinylated consensus primer, GP6+, and 15 high-risk HPV type-specific primers are used for multiplex PCR. Each type-specific primer has a 5'-tag unique ID sequence connected to a pyrosequencing primer binding region. The unique ID sequence is composed of three parts: i) a single nucleotide ID representing a specific genotype; ii) a sign post; and iii) an end mark. This design allows multiple genotype determination under an ID sequence-dependent nucleotide dispensation order during pyrosequencing. Following initial studies using HPV plasmids and cell lines, we evaluated the clinical utility and effectiveness by comparing our assay with direct sequencing and HPV DNA chip analysis of 80 samples from high-risk, HPV-positive patients. We found in single-type infections, 100% concordance with direct sequencing (70 of 80 perfect matches) and 97.5% concordance with HPV DNA chip data (50 of 80 perfect matches). Additionally, our system was superior to direct sequencing in detection of multiple infections (12 of 80), with a limit of detection of 100 copies. The scalability of this multiplex system, with its open-platform design and ability to use various sample types, makes the GTPlex applicable for use in multiple settings.

Genome-wide identification of OTP gene as a novel methylation marker of breast cancer.

Aberrant DNA methylation occurs early and frequently in tumorigenesis. Identification of DNA methylation biomarkers is a field that provides potential for improving the clinical process of breast cancer diagnosis. We utilized a genome-wide technique, methylated DNA isolation assay (MeDIA), in combination with high-resolution CpG microarray analysis to identify hypermethylated genes in breast cancer. Among differentially methylated genes between tumor and adjacent normal tissues, 3 candidate genes (LHX2, WT1 and OTP) were finally selected through a step-wise filtering process and examined for methylation status in normal tissues, primary tumor, and paired adjacent normal-appearing tissues from 39 breast cancer patients. Based on the calculated cut-off values, all genes showed significantly higher frequencies of aberrant hypermethylation in primary tumors (43.6% for LHX2, 89.7% for WT1 and 100% for OTP, p<0.05) while frequencies were intermediate in paired adjacent normal tissues and absent in normal tissues. On further analysis, the methylation level in primary tumors was not significantly correlated with clinicopathological features. Interestingly, DNA methylation of a novel gene OTP was detected in adjacent normal tissues even 6 cm away from primary tumors, suggesting that OTP methylation may qualify as a biomarker for the early detection of breast cancer. In conclusion, we successfully identified a novel gene OTP frequently methylated in breast cancer by genome-wide screening. Our results suggest that the OTP gene may play a crucial role in breast carcinogenesis, although further clinical validation will be needed to evaluate the potential application of OTP in the early detection of breast cancer.

Identification of GABRA1 and LAMA2 as new DNA methylation markers in colorectal cancer.

Aberrant methylation of CpG islands in the promoter region of genes is a common epigenetic phenomenon found in early cancers. Therefore conducting genome-scale methylation studies will enhance our understanding of the epigenetic etiology behind carcinogenesis by providing reliable biomarkers for early detection of cancer. To discover novel hypermethylated genes in colorectal cancer by genome-wide search, we first defined a subset of genes epigenetically reactivated in colon cancer cells after treatment with a demethylating agent. Next, we identified another subset of genes with relatively down-regulated expression patterns in colorectal primary tumors when compared with normal appearing-adjacent regions. Among 29 genes obtained by cross-comparison of the two gene-sets, we subsequently selected, through stepwise subtraction processes, two novel genes, GABRA1 and LAMA2, as methylation targets in colorectal cancer. For clinical validation pyrosequencing was used to assess methylation in 134 matched tissue samples from CRC patients. Aberrant methylation at target CpG sites in GABRA1 and LAMA2 was observed with high frequency in tumor tissues (92.5% and 80.6%, respectively), while less frequently in matched tumor-adjacent normal tissues (33.6% for GABRA1 and 13.4% for LAMA2). Methylation levels in primary tumors were not significantly correlated with clinico-pathological features including age, sex, survival and TNM stage. Additionally, we found that ectopic overexpression of GABRA1 in colon cancer cell lines resulted in strong inhibition of cell growth. These results suggest that two novel hypermethylated genes in colorectal cancer, GABRA1 and LAMA2, may have roles in colorectal tumorigenesis and could be potential biomarkers for the screening and the detection of colorectal cancer in clinical practice.

Pyrosequencing cut-off value identifying BRAFV600E mutation in fine needle aspiration samples of thyroid nodules.

CONTEXT: Recently, tremendous efforts have been made towards the development of sensitive techniques to detect the BRAF(V600E) mutation in fine needle aspiration biopsy (FNAB) samples. However, newly developed quantitative and semi-quantitative methods, such as dual-priming oligonucleotide (DPO)-based multiplex polymerase chain reaction (PCR), have the potential to generate false-positive (FP) results. OBJECTIVES: To eliminate the possibility of FP results, we generated a receiver operating characteristic (ROC) curve to investigate the diagnostic accuracy of pyrosequencing using quantitative data. DESIGN: Cytological diagnoses of 983 thyroid nodules were made according to the Bethesda System 2007. The BRAF(V600E) mutation was analysed by pyrosequencing, and statistical analyses were performed. RESULTS: Of the 983 nodules, 902 were adopted to evaluate the diagnostic value of pyrosequencing. The number of pathologically confirmed malignancies was 192, of which 182 were papillary thyroid cancer (PTC). By generating an ROC curve, we defined the optimal cut-off value of the mutant allele peak as 5·95% (area under the curve, 0·849; sensitivity, 0·55; 1-specificity, 0). When we applied this selective cut-off value, the number of PTCs positive for BRAF(V600E) was 99 (54·4% of the total number of PTCs). With cytology alone, the diagnostic sensitivity and specificity of detecting malignancy were 71·2% and 100%, respectively. Pyrosequencing improved the diagnostic sensitivity from 71·2% to 78·5% (McNemar's test, P < 0·001), without any change in the diagnostic specificity. When 'suspicious for malignancy' was considered a positive cytological outcome, pyrosequencing increased the diagnostic sensitivity of cytology from 95·8% to 96·9%; however, this improvement did not show statistical significance (McNemar's test, P > 0·05). CONCLUSIONS: Pyrosequencing is an effective method for detecting the BRAF(V600E) mutation in FNAB samples. By allowing the optimal cut-off value to be determined, pyrosequencing improves the diagnostic sensitivity while eliminating the possibility of FP results.

Diagnostic value of pyrosequencing for the BRAF V600E mutation in ultrasound-guided fine-needle aspiration biopsy samples of thyroid incidentalomas.

CONTEXT: Dideoxy sequencing is the most commonly used method for detecting the BRAF(V600E) mutation in thyroid cancer and melanoma. However, this gold standard method often makes less definite results in detecting the BRAF(V600E) mutation when there are relatively low amounts of the mutant template in biopsy specimens, which are invariably contaminated with normal tissues. Pyrosequencing, which measures the incorporation of each of the four nucleotides at each template position and indicates the amounts of mutant template present, may be more useful in such situations. OBJECTIVE: To investigate the diagnostic efficiency of pyrosequencing for the mutant BRAF allele in ultrasound (US)-guided fine needle aspiration biopsies (FNABs) of thyroid incidentalomas. DESIGN, SETTING AND SUBJECTS: A total of 101 thyroid incidentaloma cases were included prospectively. Cytological diagnoses of the FNAB samples were made according to the American Thyroid Association (ATA) guidelines, 2006. The presence of the BRAF(V600E) mutation was investigated by pyrosequencing and dideoxy sequencing. RESULTS: On the basis of cytological analysis, the thyroid incidentalomas were classified into benign (n = 43), malignant (n = 30), indeterminate or suspicious neoplasm (n = 24), and nondiagnostic (n = 4) categories. Pyrosequencing detected the BRAF(V600E) mutation in 30 cases: 22 malignant cases, 7 indeterminate cases, and 1 nondiagnostic case. Dideoxy sequencing also detected the BRAF(V600E) mutation in 28 of the same cases but failed to clearly distinguish the mutant allele from the wild-type allele in one indeterminate case and one nondiagnostic case. Histopathological analysis ascertained that all BRAF(V600E)-positive cases were papillary thyroid carcinomas. CONCLUSIONS: Pyrosequencing may be suitable for detecting the BRAF(V600E) mutation in thyroid incidentaloma and may be superior to dideoxy sequencing when low amounts of the mutant template are present in the biopsy.