HOXA9 gene promotor methylation and copy number variation of SOX2 and HV2 genes in cell free DNA: A potential diagnostic panel for non-small cell lung cancer.

BACKGROUND: Most cases of lung cancer are diagnosed at advanced stage. Detection of genetic and epigenetic markers in cell-free DNA (cfDNA) is a promising tool for the diagnosis of lung cancer at an early stage. The aim of this study was to identify non-invasive diagnostic markers in cell free DNA (cfDNA) for non-small cell lung cancer (NSCLC) as it is the most common type of lung cancer. METHODS: We investigated the cfDNA HOXA9 gene promotor methylation by pyrosequencing. Copy number variation of SOX2 and HV2 genes were detected by real-time PCR in cfDNA extracted from plasma samples of 25 newly diagnosed NSCLC patients and 25 age and sex matched controls. RESULTS: Methylation level of HOXA9 was significantly higher in NSCLC patients than controls (p > 0.001). SOX2 showed significantly higher CNV and HV2 showed lower CNV in patients than controls (p > 0.001, p = 0.001 respectively). Receiver Operating Characteristic (ROC) curve analysis for HOXA9 methylation, SOX2 CNV and HV2 CNV showed a discrimination power of 79.4%, 80% and 77.5% respectively and the area under the curve for the combined analysis of the three genes was 0.958 with 88% sensitivity and 100% specificity. CONCLUSIONS: In this study, we suggest a potentially diagnostic panel that may help in detection of lung cancer with high sensitivity and specificity using cell free DNA. This Panel included HOXA9 gene methylation and the CNV of SOX2 and HV2 genes.

[Diagnostic Efficacy of SHOX2 Gene Hypermethylation for Lung Cancer: A Meta-Analysis].

BACKGROUND: Lung cancer is the most common malignant tumor in clinic. The prognosis of advanced patients is poor, and the 5-year survival rate is low. Therefore, early diagnosis becomes the key to improve the prognosis of patients. In recent years, with the development of molecular biology technology, aberrant modification of some driver genes, such as methylation, has become an important method for early diagnosis of lung cancer. The purpose of the present work was to quantitatively evaluate the diagnostic value of abnormal hypermethylation in short state homeobox 2 (SHOX2) promoter region in lung cancer by evidence-based medicine. METHODS: We searched MEDLINE, EMBASE, Ovid, Web of Science and CNKI for literatures related to the relationship between SHOX2 gene promoter hypermethylation and lung cancer. The data of SHOX2 promoter hymethylation in the original study were extracted. The diagnostic sensitivity, specificity and area under receiver operating characteristic (ROC) curve of SHOX2 promoter methylation were calculated. RESULTS: Finally, 13 publications were included in this meta-analysis, and due to significant statistical heterogeneity among the studies (P<0.05) the data was pooled by random effect model. The diagnostic sensitivity and specificity of SHOX2 promoter hypermethylation in the diagnosis of lung cancer were 0.75 (95%CI: 0.74-0.77) and 0.89 (95%CI: 0.88-0.91), respectively; The positive likelihood ratio value was 6.75 (4.56-9.99), and the negative predictive value was 0.36 (0.25-0.52); The diagnostic odds ratio was 23.16 (11.34-47.31), and the area under the ROC curve was 0.9. CONCLUSIONS: SHOX2 gene promoter hypermethylation is high in serum, broncholavage fluid and pleural effusion of lung cancer patients, which can be used as a biomarker for auxiliary diagnosis of lung cancer.

DNA methylation of PTGER4 in peripheral blood plasma helps to distinguish between lung cancer, benign pulmonary nodules and chronic obstructive pulmonary disease patients.

BACKGROUND/INTRODUCTION: In contrast to patients who present with advanced stage lung cancer and associated poor prognosis, patients with early-stage lung cancer may be candidates for curative treatments. The results of the NELSON lung cancer screening trial are expected to stimulate the development and implementation of a lung cancer screening strategy in most countries. Widespread use of chest computed tomography scans will also result in the detection of solitary pulmonary nodules. Because reliable biomarkers to distinguish between malignant and benign lesions are lacking, tissue-based histopathological diagnostics remain the gold standard. In this study, we aimed to establish a test to assess the predictive ability of DNA hypermethylation of SHOX2 and PTGER4 in plasma to discriminate between patients with 1.) lung cancer, 2.) benign lesions, and 3.) patients with chronic obstructive pulmonary disease (COPD). PATIENTS AND METHODS: We retrospectively analysed SHOX2 and PTGER4 methylation in 121 prospectively collected plasma samples of patients with lung cancer (group 1A), benign lesions (group 1B), and COPD without nodules (group 2). RESULTS: PTGER4 DNA hypermethylation was more frequently observed in patients with lung cancer than in controls (p = 0.0004). Results remained significant after correction for tumour volume, smoking status, age, and eligibility for the NELSON trial. CONCLUSIONS: Detection of methylated PTGER4 in plasma DNA may serve as a biomarker to support clinical decision-making in patients with pulmonary lesions at lung cancer screening in high-risk populations. Further exploration in prospective studies is warranted.

A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules.

BACKGROUND: Lung cancer remains the leading cause of cancer deaths across the world. Early detection of lung cancer by low-dose computed tomography (LDCT) can reduce the mortality rate. However, making a definitive preoperative diagnosis of malignant pulmonary nodules (PNs) found by LDCT is a clinical challenge. This study aimed to develop a prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant pulmonary nodules from benign PNs. METHODS: We assessed three DNA methylation biomarkers (PTGER4, RASSF1A, and SHOX2) and clinically-relevant variables in a training cohort of 110 individuals with PNs. Four machine-learning-based prediction models were established and compared, including the K-nearest neighbors (KNN), random forest (RF), support vector machine (SVM), and logistic regression (LR) algorithms. Variables of the best-performing algorithm (LR) were selected through stepwise use of Akaike's information criterion (AIC). The constructed prediction model was compared with the methylation biomarkers and the Mayo Clinic model using the non-parametric approach of DeLong et al. with the area under a receiver operator characteristic curve (AUC) analysis. RESULTS: A prediction model was finally constructed based on three DNA methylation biomarkers and one radiological characteristic for identifying malignant from benign PNs. The developed prediction model achieved an AUC value of 0.951 in malignant PNs diagnosis, significantly higher than the three DNA methylation biomarkers (0.912, 95% CI:0.843-0.958, p = 0.013) or Mayo Clinic model (0.823, 95% CI:0.739-0.890, p = 0.001). Validation of the prediction model in the testing cohort of 100 subjects with PNs confirmed the diagnostic value. CONCLUSION: We have shown that integrating DNA methylation biomarkers and radiological characteristics could more accurately identify lung cancer in subjects with CT-found PNs. The prediction model developed in our study may provide clinical utility in combination with LDCT to improve the over-all diagnosis of lung cancer.

Treatment Response Monitoring in Patients with Advanced Malignancies Using Cell-Free SHOX2 and SEPT9 DNA Methylation in Blood: An Observational Prospective Study.

Patients with incurable cancer usually receive palliative treatment with significant toxicity and limited efficacy. Methylation analysis of circulating cell-free DNA (ccfDNA) in blood from cancer patients represents a promising approach for minimally invasive, real-time monitoring of treatment response. Short stature homeobox 2 (SHOX2) and septin 9 (SEPT9) methylation was analyzed in N = 8865 malignant and N = 746 normal adjacent tissues across 33 different malignancies from The Cancer Genome Atlas. Furthermore, we performed quantitative SHOX2 and SEPT9 ccfDNA methylation analysis in plasma obtained before and consecutively during treatment from prospectively enrolled N = 115 patients with various advanced cancers. SHOX2 and/or SEPT9 hypermethylation in malignant tissues is present in various carcinomas, sarcoma, melanoma, brain tumors, mesothelioma, and hematopoietic malignancies. Among the prospectively enrolled cancer patients, 61% (70/115) of patients had a baseline-positive blood cumulative ccfDNA methylation score (CMS) and were eligible for response monitoring. Dynamic changes of CMS during treatment were strongly associated with treatment response. A CMS increase indicated response up to 80 days before conventional monitoring. SHOX2 and SEPT9 ccfDNA methylation represents a pan-cancer biomarker and has the potential to be a powerful tool for monitoring treatment response in patients with solid tumors and lymphomas. The early identification of nonresponders might allow for a timely change of treatment regimen.

Detection of Promoter DNA Methylation in Urine and Plasma Aids the Detection of Non-Small Cell Lung Cancer.

PURPOSE: Low-dose CT screening can reduce lung cancer-related mortality. However, CT screening has an FDR of nearly 96%. We sought to assess whether urine samples can be a source for DNA methylation-based detection of non-small cell lung cancer (NSCLC). EXPERIMENTAL DESIGN: This nested case-control study of subjects with suspicious nodules on CT imaging obtained plasma and urine samples preoperatively. Cases (n = 74) had pathologic confirmation of NSCLC. Controls (n = 27) had a noncancer diagnosis. We detected promoter methylation in plasma and urine samples using methylation on beads and quantitative methylation-specific real-time PCR for cancer-specific genes (CDO1, TAC1, HOXA7, HOXA9, SOX17, and ZFP42). RESULTS: DNA methylation at cancer-specific loci was detected in both plasma and urine, and was more frequent in patients with cancer compared with controls for all six genes in plasma and in CDO1, TAC1, HOXA9, and SOX17 in urine. Univariate and multivariate logistic regression analysis showed that methylation detection in each one of six genes in plasma and CDO1, TAC1, HOXA9, and SOX17 in urine were significantly associated with the diagnosis of NSCLC, independent of age, race, and smoking pack-years. When methylation was detected for three or more genes in both plasma and urine, the sensitivity and specificity for lung cancer diagnosis were 73% and 92%, respectively. CONCLUSIONS: DNA methylation-based biomarkers in plasma and urine could be useful as an adjunct to CT screening to guide decision-making regarding further invasive procedures in patients with pulmonary nodules.

Detection of aberrant methylation of HOXA9 and HIC1 through multiplex MethyLight assay in serum DNA for the early detection of epithelial ovarian cancer.

Accumulated evidence revealed that aberrant CpG island hypermethylation plays an important role in carcinogenesis which can serve as a promising target for molecular detection in body fluids. Despite a myriad of attempts to diagnose ovarian cancer (OC) at an early stage, this clinical aim remains a major challenge. To date, no single biomarker is able to accurately detect early OC in either tissue or body fluid. Aberrant DNA methylation patterns in circulating DNA provide highly specific cancer signals. In our study, we establish a novel panel of methylation-specific genes for the development of a TaqMan based qPCR assay to quantify methylation levels. We analyzed promoter methylation of homeobox A9 (HOXA9) and hypermethylated in cancer 1 (HIC1) quantitatively in 120 tissue samples and in 70 matched serum cell-free DNA (CFDNA) of cancerous and noncancerous samples by MethyLight assay. HOXA9 and HIC1 methylation occurred in 82.3 and 80.0% of OC tissue samples in singleplex assay, thereby confirming that methylation was highly cancer-specific. When either or both gene promoter showed methylation, the sensitivity was 88.2% with a specificity of 88.6% in tissue samples. The combined sensitivity for this novel marker panel in serum CFDNA was 88.9% (area under the curve [AUC] = 0.95). In contrast, no hypermethylation was observed in serum from matched cancer-free control women. Our results confirm the elevated performance of novel epigenetic marker panel (HOXA9 and HIC1) when analyzed in tissue and matched serum samples. Our findings reveal the potential of this biomarker panel as a suitable diagnostic serum biomarker for early screening of OC.

Correlation of miR-181a and three HOXA genes as useful biomarkers in acute myeloid leukemia.

INTRODUCTION: MiR-181a is a small, noncoding RNA that plays important roles in the pathogenesis and prognosis of acute myeloid leukemia (AML). A group of HOXA genes, including HOXA7, HOXA9, and HOXA11, has been established as an independent predictor for AML prognosis. In this study, we aimed to investigate the association between miR-181a and HOXA7, HOXA9, and HOXA11 and explore their roles in predicting prognosis in AML. PATIENTS AND METHODS: Bone marrow samples of 46 untreated AML patients and 9 healthy donors were collected. Mononuclear cells were purified using density-gradient centrifugation in Ficoll, and quantitative real-time PCR was used to detect miR-181a and HOXA gene expression level. RESULTS: HOXA7, HOXA9, and HOXA11 were negatively correlated with miR-181a, and their expression levels varied among AML subtypes, karyotypes, and risk status. Higher miR-181a and lower HOXA gene expressions were significantly associated with lower risk status and better response to chemotherapy. CONCLUSION: In our study, we found miR-181a expression was negatively correlated with three HOXA genes and they were associated with AML risk status and prognosis in granulocytic AML. It further supported that miR-181a could be a useful marker for AML prognosis and possibly worked by regulating HOXA gene clusters.

[DNA methylation detection of SHOX2 and PTGER4 in plasma contributes to differential diagnosis of pulmonary nodule patients].

Objective To investigate the clinical significance of plasma cell free DNA (cfDNA) methylation in short stature homeobox 2 (SHOX2) and prostaglandin E receptor 4 (PTGER4) for diagnosing pulmonary nodule patients. Methods We collected 10 mL venous blood from patients. And the plasma DNA was extracted. Real-time quantitative PCR was performed to amplify the DNA after bisulfite conversion. Valid Ct values were input into specialized software to analyze the methylation status of SHOX2 and PTGER4. Histological classification of lung malignant tissues was carried out by immunohistochemistry. Results The 22 of 57 patients were positive and 35 were negative for SHOX2 and PTGER4 DNA methylation detection. Computed tomography (CT) indicated that 31 of 57 patients were diagnosed with pulmonary nodules, among which 19 patients were positive for DNA methylation; 3 of 16 patients with inflammation on CT were positive for DNA methylation; 10 patients with normal or ground glass CT images were negative for DNA methylation. Significant differences in SHOX2 and PTGER4 DNA methylation were observed in the patients with different CT findings. The highest positive rate of CT nodular lesions was 61.3%. The 20 patients with pulmonary nodules were pathologically diagnosed with lung cancer, of which 18 were positive for SHOX2 and PTGER4 DNA methylation, with a positive rate of 90%. Only 1 case of benign pulmonary nodules was positive. Significant difference in SHOX2 and PTGER4 methylation status was observed between benign and malignant pulmonary nodules. The positive rate of SHOX2 and PTGER4 methylation were both 100% in squamous cell lung carcinoma and small cell lung carcinoma, while 75% in adenocarcinoma. Conclusion SHOX2 and PTGER4 methylation detection in blood plasma has certain value in the early diagnosis of lung cancer and can be a complementary tool of CT in diagnosing pulmonary nodule patients.

Normal Growth despite Combined Pituitary Hormone Deficiency.

BACKGROUND: The paradox of normal growth despite a lack of growth hormone (GH) is an unexplained phenomenon described in some pathological (sellar, suprasellar, and hypothalamic disorders) and overgrowth syndromes. It has been suggested that the paradoxical growth is due to other GH variants, GH-like moieties, prolactin, insulin, insulin-like growth factors (IGFs), and unidentified serum factors or growth mechanisms. The objective of this study was to determine the mechanism underlying this normal growth without GH. CASE DESCRIPTION: We describe here growth, hormonal, and genetic analyses for an adolescent boy with panhypopituitarism who achieved an adult height above his genetic potential. RESULTS: Normal growth was observed despite low serum GH, IGF-I, IGF-II, IGF binding protein 3 (IGFBP-3) and acid labile subunit (ALS) concentrations, but the IGF-II/IGFBP-3 molar ratio was slightly high. Panhypopituitarism was associated with a heterozygous missense mutation of HESX1, with variable penetrance in heterozygous relatives. Exome analysis detected heterozygous missense mutations of various genes involved in intracellular signaling pathways. The growth-promoting activity of the patient's serum was unable to induce AKT phosphorylation in the MCF-7 cell line. CONCLUSION: The high IGF-II/IGFBP-3 molar ratio was not the cause of the sustained high growth velocity, due to the low affinity of IGF-II for IGF type 1 receptor. The key finding was the HESX1 mutation, as similar cases have been described before, suggesting a common mechanism for growth without GH. However, the variable penetrance of this variant in heterozygous relatives suggests that modifier genes or mechanisms involving combinations with mutations of other genes involved in intracellular signaling pathways might be responsible.

Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis.

BACKGROUND: This study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes. METHODS: Twenty-three clinical paired LUSC and non-LUSC samples were utilized to examine the level of HOXA11 using quantitative real-time polymerase chain reaction (qRT-PCR). The clinical significance of HOXA11 was systematically analyzed based on 475 LUSC and 18 non-cancerous adjacent tissues from The Cancer Genome Atlas (TCGA) database. A total of 102 LUSC tissues and 121 non-cancerous tissues were available from Oncomine to explore the expressing profiles of HOXA11 in LUSC. A meta-analysis was carried out to further assess the differential expression of HOXA11 in LUSC, including in-house qRT-PCR data, expressing data extracted from TCGA and Oncomine databases. Moreover, the enrichment analysis and potential pathway annotations of HOXA11 in LUSC were accomplished via Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The expression of hub genes and according correlations with HOXA11 were assessed to further explore the biological role of HOXA11 in LUSC. RESULTS: HOXA11 expression in LUSC had a tendency to be upregulated in comparison to adjacent non-cancerous tissues by qRT-PCR. TCGA data displayed that HOXA11 was remarkably over-expressed in LUSC compared with that in non-LUSC samples, and the area under curves (AUC) was 0.955 (P < 0.001). A total of 1523 co-expressed genes were sifted for further analysis. The most significant term enriched in the KEGG pathway was focal adhesion. Among the six hub genes of HOXA11, including PARVA, ILK, COL4A1, COL4A2, ITGB1, and ITGA5, five (with the exception of COL4A1) were significantly decreased compared with the normal lung tissues. Moreover, the expression of ILK was negatively related to HOXA11 (r = - 0.141, P = 0.002). CONCLUSION: High HOXA11 expression may lead to carcinogenesis and the development of LUSC. Furthermore, co-expressed genes might affect the prognosis of LUSC.

Aberrant DNA methylation at HOXA4 and HOXA5 genes are associated with resistance to imatinib mesylate among chronic myeloid leukemia patients.

BACKGROUND: Imatinib mesylate is a molecularly targeted tyrosine kinase inhibitor drug. It is effectively used in the treatment of chronic myeloid leukemia (CML) patients. However, development of resistance to imatinib mesylate as a result of BCR-ABL dependent and BCR-ABL independent mechanisms has emerged as a daunting problem in the management of CML patients. Between these mechanisms, BCR-ABL independent mechanisms are still not robustly understood. AIM: To investigate the correlation of HOXA4 and HOXA5 promoter DNA hypermethylation with imatinib resistance among CML patients. METHODS AND RESULTS: Samples from 175 Philadelphia positive CML patients (83 good response and 92 BCR-ABL non-mutated imatinib resistant patients) were subjected to Methylation Specific High Resolution Melt Analysis for methylation levels quantification of the HOXA4 and HOXA5 promoter regions. Receiver operating characteristic curve analysis was done to elucidate the optimal methylation cut-off point followed by multiple logistic regression analysis. Log-Rank analysis was done to measure the overall survival difference between CML groups. The optimal methylation cut-off point was found to be at 62.5% for both HOXA4 and HOXA5. Chronic myeloid leukemia patients with ≥63% HOXA4 and HOXA5 methylation level were shown to have 3.78 and 3.95 times the odds, respectively, to acquire resistance to imatinib. However, overall survival of CML patients that have ≤62% and ≥ 63% methylation levels of HOXA4 and HOXA5 genes were found to be not significant (P-value = 0.126 for HOXA4; P-value = 0.217 for HOXA5). CONCLUSION: Hypermethylation of the HOXA4 and HOXA5 promoter is correlated with imatinib resistance and with further investigation, it could be a potential epigenetic biomarker in supplement to the BCR-ABL gene mutation in predicting imatinib treatment response among CML patients but could not be considered as a prognostic marker.

DNA Methylation Analysis of Free-Circulating DNA in Body Fluids.

Circulating cell-free DNA in body fluids is an analyte of great interest in basic and clinical research. The analyses of DNA methylation and hydroxymethylation patterns in body fluids might allow one to determine the certain state of a disease, in particular of cancer. DNA methylation biomarkers in liquid biopsies, i.e. blood plasma samples, may help optimizing personalized therapy for individual patients. DNA methylation analyses of specific loci usually require a bisulfite conversion of the DNA, which requires a sufficiently high amount of DNA at the appropriate concentration. However, free-circulating DNA is generally low concentrated. Therefore, high volumes of body fluids need to be analyzed. This high volume needs to be reduced in order to facilitate the bisulfite conversion. In addition, disease-related free-circulating DNA is even less abundant than normal DNA in the total amount of free-circulating DNA. Accordingly, analytical and pre-analytical methods are needed, which permit an accurate and sensitive quantification of single methylated DNA copies in the presence of unmethylated DNA in abundance.This protocol describes two methods for DNA enrichment from body fluids: DNA extraction by means of magnetic beads and polymer-mediated enrichment of DNA. Subsequent bisulfite conversion is achieved by means of a high-speed conversion protocol. Adaptions of the workflow required for the analysis of hydroxymethylation via oxidation 5-hydroxymethylcytosines to 5-formylcytosines prior to the bisulfite conversion are introduced. A quantitative real-time PCR based on the methylation-specific and HeavyMethyl PCR methodologies is introduced. This qPCR assay allows for an accurate and sensitive quantification of single copies of the DNA methylation biomarkers SHOX2 and SEPT9 in blood plasma. Specific issues regarding the analysis of body fluids and respective trouble shooting approaches are discussed.

Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients.

BACKGROUND: SHOX2 and SEPT9 methylation in circulating cell-free DNA (ccfDNA) in blood are established powerful and clinically valuable biomarkers for diagnosis, staging, prognosis, and monitoring of cancer patients. The aim of the present study was to evaluate different quantification algorithms (relative quantification, absolute quantification, quasi-digital PCR) with regard to their clinical performance. METHODS: Methylation analyses were performed in a training cohort (141 patients with head and neck squamous cell carcinoma [HNSCC], 170 control cases) and a testing cohort (137 HNSCC cases, 102 controls). DNA was extracted from plasma samples, bisulfite-converted, and analyzed via quantitative real-time PCR. SHOX2 and SEPT9 methylations were assessed separately and as panel [mean SEPT9/SHOX2 ] using the ΔCT method for absolute quantification and the ΔΔCT-method for relative quantification. Quasi-digital PCR was defined as the number of amplification-positive PCR replicates. The diagnostic (sensitivity, specificity, area under the curve (AUC) of the receiver operating characteristic (ROC)) and prognostic accuracy (hazard ratio (HR) from Cox regression) were evaluated. RESULTS: Sporadic methylation in control samples necessitated the introduction of cutoffs resulting in 61-63% sensitivity/90-92% specificity (SEPT9/training), 53-57% sensitivity/87-90% specificity (SHOX2/training), and 64-65% sensitivity/90-91% specificity (mean SEPT9/SHOX2 /training). Results were confirmed in a testing cohort with 54-56% sensitivity/88-90% specificity (SEPT9/testing), 43-48% sensitivity/93-95% specificity (SHOX2/testing), and 49-58% sensitivity/88-94% specificity (mean SEPT9/SHOX2 /testing). All algorithms showed comparable cutoff-independent diagnostic accuracy with largely overlapping 95% confidence intervals (SEPT9: AUCtraining = 0.79-0.80; AUCtesting = 0.74-0.75; SHOX2: AUCtraining = 0.78-0.81, AUCtesting = 0.77-0.79; mean SEPT9/SHOX2 : AUCtraining = 0.81-0.84, AUCtesting = 0.80). The accurate prediction of overall survival was possible with all three algorithms (training cohort: HR SEPT9 = 1.23-1.90, HR SHOX2 = 1.14-1.85, HRmeanSEPT9/SHOX2 =1.19-1.89 ; testing cohort: HR SEPT9 =1.22-1.67, HR SHOX2 = 1.15-1.71, HRmeanSEPT9/SHOX2 = 1.12-1.77). CONCLUSION: The concordant clinical performance based on different quantification algorithms allows for the application of various diagnostic platforms for the analysis of ccfDNA methylation biomarkers.

Free-Circulating Methylated DNA in Blood for Diagnosis, Staging, Prognosis, and Monitoring of Head and Neck Squamous Cell Carcinoma Patients: An Observational Prospective Cohort Study.

BACKGROUND: Circulating cell-free DNA methylation testing in blood has recently received regulatory approval for screening of colorectal cancer. Its application in other clinical settings, including staging, prognosis, prediction, and recurrence monitoring is highly promising, and of particular interest in head and neck squamous cell carcinomas (HNSCCs) that represent a heterogeneous group of cancers with unsatisfactory treatment guidelines. METHODS: Short stature homeobox 2 (SHOX2) and septin 9 (SEPT9) DNA methylation in plasma from 649 prospectively enrolled patients (training study: 284 HNSCC/122 control patients; testing study: 141 HNSCC/102 control patients) was quantified before treatment and longitudinally during surveillance. RESULTS: In the training study, 59% of HNSCC patients were methylation-positive at 96% specificity. Methylation levels correlated with tumor and nodal category (P < 0.001). Initially increased methylation levels were associated with a higher risk of death [SEPT9: hazard ratio (HR) = 5.27, P = 0.001; SHOX2: HR = 2.32, P = 0.024]. Disease recurrence/metastases were detected in 47% of patients up to 377 days earlier compared to current clinical practice. The onset of second cancers was detected up to 343 days earlier. In the testing study, sensitivity (52%), specificity (95%), prediction of overall survival (SEPT9: HR = 2.78, P = 0.022; SHOX2: HR = 2.50, P = 0.026), and correlation with tumor and nodal category (P <0.001) were successfully validated. CONCLUSIONS: Methylation testing in plasma is a powerful diagnostic tool for molecular disease staging, risk stratification, and disease monitoring. Patients with initially high biomarker levels might benefit from intensified treatment and posttherapeutic surveillance. The early detection of a recurrent/metastatic disease or a second malignancy could lead to an earlier consecutive treatment, thereby improving patients' outcomes.

Genomic Pathology and Cancer Biomarkers: Prostate Cancer.

Our understanding of genomic pathology and biomarkers for prostate cancer is continually growing. Some promising and useful tissue markers are GSTP1, HOXD3, cell cycle proteins, chromatin remodeling proteins, androgen receptor, Stat5a/b, ERG, and PTEN. Serum and urine markers are mostly either prostate-specific antigen or newer tests using one or more other kallikreins or sarcosine. The data and evidence for all of these markers and the commercial tests using them are reviewed here.

Illegitimate RAG-mediated recombination events are involved in IKZF1 Δ3-6 deletion in BCR-ABL1 lymphoblastic leukaemia.

Breakpoint cluster region-Abelson murine leukaemia viral oncogene homologue 1 (BCR-ABL1), encoded by the Philadelphia (Ph) chromosome, is the characteristic of chronic myeloid leukaemia (CML) and a subset of acute lymphoblastic leukaemia (ALL). We demonstrated that expression of the Ik6 transcript, which lacked exons 3-6, was observed exclusively in BCR-ABL1(+) B ALL and lymphoid blast crisis CML (BC-CML) patients harbouring the IKZF1 Δ3-6 deletion. To confirm the hypothesis that illegitimate recombination activating gene protein (RAG)-mediated recombination events are involved in IKZF1 Δ3-6 deletion in BCR-ABL1 lymphoblastic leukaemia, we first demonstrated that the expression rates of RAG1 and RAG2, collectively called RAG, were higher in ALL and BC-CML (lymphoid). Notably, analysis of relationships among RAG, BCR-ABL1 and Ikaros 6 (Ik6) showed that Ik6 can be generated only if RAG and BCR-ABL1 are co-existing. The sequencing data showed that the deleted segments of introns 2 and 6 contained cryptic recombination signal sequences (cRSSs) and frequently had non-template nucleotides inserted between breakpoints. Furthermore, we used chromatin immunoprecipitation (ChIP) technology and demonstrated that the sequences directly flanking IKZF1 Δ3-6 deletion breakpoints have significantly higher levels of histone H3 lysine 4 trimethylation (H3K4me3) modifications. Overall, RAG expression, good-quality cRSS and a specific chromatin modification, H3K4me3, satisfy the conditions of RAG's off-target effects on IKZF1. Our work provides evidence for RAG-mediated IKZF1 Δ3-6 deletion. Our results raise the prospect that RAG is a valuable biomarker in disease surveillance. Dissecting the contribution of RAG should not only provide valuable mechanistic insights, but will also lead to a new therapeutic direction.

Parathyroid Hormone Levels and High-Residual Platelet Reactivity in Patients Receiving Dual Antiplatelet Therapy With Acetylsalicylic Acid and Clopidogrel or Ticagrelor.

BACKGROUND: High-residual-on-treatment platelet reactivity still represents a challenging issue, potentially vanishing the benefits of dual antiplatelet treatment in patients with coronary artery disease. However, very few is known on the determinants of suboptimal response to antiplatelet agents. Recent interests have emerged on the potential prothrombotic effect of parathyroid hormone (PTH). Therefore, the aim of the present study was to assess the impact of parathyroid hormone (PTH) on platelet reactivity in patients receiving DAPT after an acute coronary syndrome or PCI. METHODS: Patients treated with DAPT (ASA and clopidogrel or ticagrelor) were scheduled for platelet function assessment at 30- to 90-days postdischarge. By whole blood impedance aggregometry, HRPR was considered for ASPI test >862 AU*min (for ASA) and ADP test values ≥417 AU*min (for ADP antagonists). RESULTS: We included 362 patients on DAPT, 125 (34.5%) receiving clopidogrel, and 237 (65.5%) on ticagrelor. Patients were divided according to PTH quartiles values (<45.8; 45.8-60.3; 60.4-88; ≥88.1 pg/mL). Higher PTH was associated with older age (P = 0.001); renal failure (P < 0.001), higher HDL cholesterol (P = 0.006) and creatinine (P < 0.001) and lower 25-OH cholecalciferol (P < 0.001). Suboptimal response to ASA was infrequent (2.8%), and not influenced by the levels of PTH (P = 0.57). ADP-mediated platelet aggregation was significantly increased in patients with higher PTH (P = 0.03), with an absolute increase in the prevalence of HRPR to ADP antagonists for higher PTH (24.7% vs. 40%, P = 0.007 for 4th vs. 1-3rd quartiles, adjusted OR[95%CI] = 2.04[1.14-3.64], P = 0.02). By the use of the ROC curve, we identified PTH levels above 96.7 pg/mL as the best predictor of HRPR with ADP antagonists (adjusted OR[95%CI] = 2.52[1.31-4.87], P = 0.006). Higher rate of HRPR was confirmed for PTH >96.7 pg/mL among the subgroup of patients on clopidogrel (51.5 vs. 85.7%, P = 0.001; adjusted OR[95%CI] = 12.5[2.6-60.9], P = 0.002), but not among ticagrelor-treated patients (11.3 vs. 16.7%, P = 0.31; adjusted OR[95%CI] = 1.55[0.56-4.6], P = 0.42). CONCLUSION: In patients receiving dual antiplatelet therapy for coronary artery disease, higher PTH levels are associated with an increased ADP-mediated platelet reactivity and suboptimal response to clopidogrel, especially for values above 96.7 pg/mL, while not influencing the effectiveness of ASA and ticagrelor.

The value of SHOX2 methylation test in peripheral blood samples used for the differential diagnosis of lung cancer and other lung disorders.

Methylation of the cytosine residues within the CpG dinucleotides plays an important role in the fundamental cellular processes, human diseases and even cancer. The DNA methylation represents a very stable sign and therefore may be used as a valuable marker for cancer screening. Epigenetic cancer biomarkers are independent of classical morphology and thus show extensive potential to overcome the limitations of cytology. Several epigenetic cancer markers have been reported to be detectable in body fluids such as bronchial aspirate, sputum, plasma and serum.Short stature homeobox gene 2 (SHOX2) encodes a homeo-domain transcription factor, which has been identified as a close homologue of the SHOX gene and both genes are involved in skeletogenesis and heart development. Methylation of SHOX2 gene has been shown to be present at high prevalence in carcinomas of lung, however may also be used to identify other tumour entities.In the presented study, we have compared suitability of two types of material associated with lung cancer for the detection of SHOX2 methylation. We have confirmed that methylation of SHOX2 gene represents reliable marker of lung malignancies. The parallel tests in the blood plasma revealed that it may represent a good alternative material for testing of the SHOX2 methylation, making the test available to patients who are unable to undergo bronchoscopy.

Global measures of peripheral blood-derived DNA methylation as a risk factor in the development of mature B-cell neoplasms.

AIM: To examine whether peripheral blood methylation is associated with risk of developing mature B-cell neoplasms (MBCNs). MATERIALS & METHODS: We conducted a case-control study nested within a large prospective cohort. Peripheral blood was collected from healthy participants. Cases of MBCN were identified by linkage to cancer registries. Methylation was measured using the Infinium(®) HumanMethylation450. RESULTS: During a median of 10.6-year follow-up, 438 MBCN cases were evaluated. Global hypomethylation was associated with increased risk of MBCN (odds ratio: 2.27, [95% CI: 1.59-3.25]). Within high CpG promoter regions, hypermethylation was associated with increased risk (odds ratio: 1.76 [95% CI: 1.25-2.48]). Promoter hypermethylation was observed in HOXA9 and CDH1 genes. CONCLUSION: Aberrant global DNA methylation is detectable in peripheral blood collected years before diagnosis and is associated with increased risk of MBCN, suggesting changes to DNA methylation are an early event in MBCN development.