Comparison of Genetic Alterations Detected in Circulating Microsatellite DNA in Blood Plasma Samples of Patients with Prostate Cancer and Benign Prostatic Hyperplasia

Biomarkers for the Detection and Risk Stratification of Aggressive Prostate Cancer

Current strategies for the clinical management of prostate cancer are inadequate for a precise risk stratification between indolent and aggressive tumors. Recently developed tissue-based molecular biomarkers have refined the risk assessment of the disease. The characterization of tissue biopsy components and subsequent identification of relevant tissue-based molecular alterations have the potential to improve the clinical decision making and patient outcomes. However, tissue biopsies are invasive and spatially restricted due to tumor heterogeneity. Therefore, there is an urgent need for complementary diagnostic and prognostic options. Liquid biopsy approaches are minimally invasive with potential utility for the early detection, risk stratification, and monitoring of tumors. In this review, we focus on tissue and liquid biopsy biomarkers for early diagnosis and risk stratification of prostate cancer, including modifications on the genomic, epigenomic, transcriptomic, and proteomic levels. High-risk molecular alterations combined with orthogonal clinical parameters can improve the identification of aggressive tumors and increase patient survival.

Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysis

Prostate cancer (PCa) and benign prostate hyperplasia (BPH) are commonly encountered diseases in males. Studies showed that genetic factors are responsible for the occurrences of both diseases. However, the genetic association between them is still unclear. Gene Expression Omnibus (GEO) database can help determine the differentially expressed genes (DEGs) between BPH and PCa. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were utilized to find pathways DEGs enriched. The STRING database can provide a protein-protein interaction (PPI) network, and find hub genes in PPI network. R software was used to analyze the clinical value of hub genes in PCa. Finally, the function of these hub genes was tested in different databases, clinical samples, and PCa cells. Fifteen up-regulated and forty-five down-regulated genes were found from GEO database. Seven hub genes were found in PPI network. The expression and clinical value of hub genes were analyzed by The Cancer Genome Atlas (TCGA) data. Except CXCR4, all hub genes expressed differently between tumor and normal samples. Exclude CXCR4, other hub genes have diagnostic value in predicting PCa and their mutations can cause PCa. The expression of CSRP1, MYL9 and SNAI2 changed in different tumor stage. CSRP1 and MYH11 could affect disease-free survival (DFS). Same results reflected in different databases. The expression and function of MYC, MYL9, and SNAI2, were validated in clinical samples and PCa cells. In conclusion, seven hub genes among sixty DEGs may be achievable targets for predicting which BPH patients may later develop PCa and they can influence the progression of PCa.

Evaluation of cell-free DNA accuracy as diagnostic biomarker for prostate cancer: A systematic review and meta-analysis

PURPOSE

This updated meta-analysis aimed to assess the diagnostic performance of circulating cell-free DNA (cf-DNA) for prostate cancer (PCa).

METHODS

A systematic search was conducted in PubMed, Scopus, Web of Science, and Embase databases to retrieve related studies. Several diagnostic estimates, including sensitivity (SE), specificity (SP), likelihood ratios (LRs), and diagnostic odds ratio (DOR) were also used to perform the meta-synthesis. Additionally, the area under hierarchical summary receiver operating characteristic curves (AU-HSROC) was used as a global measure of test accuracy.

RESULTS

Twenty-nine unique articles were enrolled in the meta-analysis. Pooled SE and SP for overall accuracy of cf-DNA in PCa were obtained as 0.54 (95% CI: 0.47-0.61) and 0.92 (95% CI: 0.88-0.95), respectively. Positive LR (PLR) was 6.8 (95% CI: 4.9-9.5, I² : 92.98%) and negative LR (NLR) was 0.5 (95% CI: 0.43-0.58). Pooled DOR was 13.56 (95% CI: 9.49-19.37) and the AU-HSROC was 0.83 (95% CI: 0.79-0.86).

CONCLUSION

The present study suggested that cf-DNA assays have comparable SE as well as remarkably higher SP (qualitative assays) than common biomarkers in the detection of PCa like prostate-specific antigen (PSA). In addition, cf-DNA assays have better performance in PCa confirmation and almost similar performance to PSA in excluding PCa patients.

Liquid biopsy with cell free DNA: new horizons for prostate cancer

Although prostate cancer (PCa) is one of the most common tumors in European males, the only minimally invasive diagnostic tool in PCa setup is the determination of PSA in serum. Cell-free DNA (cfDNA) has been demonstrated to be helpful for PCa diagnosis but has not yet been integrated into the clinical setting. This review aims to provide a systematic update of cfDNA and its fragmentation patterns in PCa reported in literature published over the last twenty years. Due to the high variability of the scientific methods adopted and a lack of standardized median cfDNA levels, results fluctuate across different studies. These differences may be due to the cfDNA source, the quantification method, or the fragmentation pattern. Blood plasma is the most frequently analyzed biological fluid, but seminal plasma has been reported to contain higher cfDNA concentration due to its vicinity to the tumor origin. CfDNA has been shown to be composed of single-stranded (ssDNA) and double-stranded DNA (dsDNA), so the total cfDNA concentration should be preferred as it corresponds best to the tumor mass. Fluorometry and capillary electrophoresis (CE) may be quick and cost-effective tools for cfDNA assessment in a clinical setting. The greatest future challenge is the elaboration of common guidelines and standardized procedures for diagnostic laboratories performing cfDNA analysis. A multiparametric approach combining the analysis of total cfDNA (both ssDNA and dsDNA), cfDNA fragment length, and specific genetic mutations (ctDNA assessment) is required for optimal future applications of liquid biopsy.

Detection of Loss of Heterozygosity (LOH) Using Circulating Cell-free DNA (cfDNA) by Fluorescence-based Multiplex PCR for Identification of Patients With Prostate Cancer

Several lines of evidence suggest that loss of heterozygosity (LOH) in specific chromosomal regions is a common mechanism for the inactivation of tumor-suppressor genes that are implicated in the pathogenesis of prostate cancer (PCa). Short tandem repeat (STR) sequences are extremely reliable genetic markers for the detection of LOH associated with cancers. Hence, in the current study, we investigated the detection of LOH at 6 STR markers (D8S360, D9S1748, D9S171, D8S137, D6S1631, and THRB) using blood circulating cell-free DNA (cfDNA), which can be used to distinguish PCa from benign prostatic hyperplasia (BPH). A total of 136 individuals were included in the study, 76 male patients diagnosed with PCa (50 male patients with localized PCa and 26 male patients with metastatic PCa) as experimental subjects and 60 male patients with BPH as controls. Circulating cfDNA was extracted from plasma samples and amplified with fluorescence-labeled primers specific for known STR markers. We also evaluated the serum prostate-specific antigen in both groups. Our findings revealed that the frequency of LOH at D8S360, D9S1748, D9S171, D8S137, and D6S1631 was significantly higher in PCa subjects than in controls (P<0.05). Of the 6 STR markers, LOH at D8S360 could discriminate metastatic PCa from localized PCa. We found that 71.05% of patients with PCa and 1.66% of BPH subjects had LOH at least at 3 of the markers in cfDNA. Our findings provide additional evidence to support the hypothesis that analysis of LOH at D8S360, D9S1748, D9S171, D8S137, and D6S1631 STR markers using cfDNA can be applied as a noninvasive diagnostic approach for the detection of PCa.

Quantitative and Qualitative Analysis of Circulating Cell-Free DNA Can Be Used as an Adjuvant Tool for Prostate Cancer Screening: A Meta-Analysis

As part of “liquid biopsy,” lots of literature indicated the potential diagnostic value of circulating cell-free DNA (cfDNA) in the management of prostate cancer (PCa). However, the literature on the accuracy of cfDNA detection in PCa has been inconsistent. Hence, we performed this meta-analysis to assess the diagnostic value of cfDNA in PCa. A total of 19 articles were included in this analysis according to the inclusion and exclusion criteria. We then investigated two main subgroups in this meta-analysis, including qualitative analysis of abnormal level of cfDNA and qualitative analysis of single-gene methylation alterations. Overall, the results of quantitative analysis showed sensitivity of 0.73 (95% CI, 0.62–0.82) and specificity of 0.80 (95% CI, 0.70–0.87), with an area under the curve (AUC) of 0.83 (95% CI, 0.80–0.86). For qualitative assessment, the values were 0.34 (95% CI, 0.22–0.48), 0.99 (95% CI, 0.97–1.00), and 0.91 (95% CI, 0.88–0.93), respectively. Our results suggest the pooled specificity of each subgroup is much higher than the specificity of prostate-specific antigen (PSA). However, they are not recommended for PCa screening alone, because their sensitivities are not higher than the conventional serum biomarkers PSA. We conclude that analysis of cfDNA can be used as an adjuvant tool for PCa screening.

When Prostate Cancer Circulates in the Bloodstream

Management of patients with prostate cancer is currently based on imperfect clinical, biological, radiological and pathological evaluation. Prostate cancer aggressiveness, including metastatic potential, remains difficult to accurately estimate. In an attempt to better adapt therapeutics to an individual (personalized medicine), reliable evaluation of the intrinsic molecular biology of the tumor is warranted, and particularly for all tumor sites (primary tumors and secondary sites) at any time of the disease progression. As a consequence of their natural tendency to grow (passive invasion) or as a consequence of an active blood vessel invasion by metastase-initiating cells, tumors shed various materials into the bloodstream. Major efforts have been recently made to develop powerful and accurate methods able to detect, quantify and/or analyze all these circulating tumor materials: circulating tumors cells, disseminating tumor cells, extracellular vesicles (including exosomes), nucleic acids, etc. The aim of this review is to summarize current knowledge about these circulating tumor materials and their applications in translational research.

Circulating nucleic acids as biomarkers of prostate cancer

Prostate cancer, the most common cancer of western men, requires new biomarkers, especially given that the benefits of PSA testing remain uncertain. Nucleic acids can now be accurately and sensitively detected in human blood. Over the last decade, investigations into utility of circulating cell-free miRNA, DNA and mRNA as novel biomarkers have expanded exponentially. In the near future, they may be routinely used to accurately diagnose cancers, stratify indolent from aggressive disease and inform treatment decisions. However, advancement of such tests into clinical settings is hampered by technical problems with assay specificity and sensitivity, and small study sizes. This review highlights the different forms of circulating nucleic acids and those that show the most potential as viable biomarkers for prostate cancer.

Plasma lipoproteins as a transport form of extracellular DNA

We showed DNA-binding activity of different classes of plasma lipoproteins in rats and humans. Experiments with fluorescent dye Hoechst 33258 showed that about 12% extracellular plasma DNA is present in circulating lipoproteins complexes; 7-8% of them with HDL. Structural HDL protein apoA-I probably plays the major role in the interaction between extracellular DNA and lipoprotein particle. Participation of lipoproteins in the transport of extracellular DNA can be considered as an important mechanism for elimination of nucleic acids from blood plasma.

Circulating Methylated XAF1 DNA Indicates Poor Prognosis for Gastric Cancer

BACKGROUND

Methylated DNA in fluids may be a suitable biomarker for cancer patients. XAF1 has been shown to be frequently down-regulated in human gastric cancer (GC). Here, we investigated if XAF1 methylation in GC could be a useful biomarker.

METHODS

Real-time RT-PCR was used to detect XAF1 mRNA expression; immunohistochemistry and western blot were used to examine XAF1 protein expression in GC tissues (n = 202) and their corresponding para-cancerous histological normal tissues (PCHNTs). Real-time methylation specific-PCR was used to investigate XAF1 promoter methylation in the same panel of GC tissues, their PCHNTs and sera.

RESULTS

We confirmed frequent XAF1 down-regulation in both mRNA and protein levels in GC tissues as compared to normal controls and PCHNTs. XAF1 hypermethylation was evidenced in 83.2% (168/202) of GC tissues and 27.2% (55/202) of PCHNTs, while no methylation was detected in the 88 normal controls. The methylation level in GC tissues was significantly higher than that in PCHNTs (p<0.05). The hypermethylation of XAF1 significantly correlated with the down-regulation of XAF1 in GC tissues in both mRNA and protein levels (p<0.001 each). Moreover, we detected high frequency of XAF1 methylation (69.8%, 141 out of 202) in the sera DNAs from the same patients, while the sera DNAs from 88 non-tumor controls were negative for XAF1 methylation. The XAF1 methylation in both GC tissues and in the sera could be a good biomarker for diagnosis of GC (AUC = 0.85 for tissue and AUC = 0.91 for sera) and significantly correlated with poorer prognosis (p<0.001). In addition, after-surgery negative-to-positive transition of XAF1 methylation in sera strongly associated with tumor recurrence.

CONCLUSIONS

1) Dysfunction of XAF1 is frequent and is regulated through XAF1 promoter hypermethylation; 2) Detection of circulating methylated XAF1 DNAs in the serum may be a useful biomarker in diagnosis, evaluating patient's outcome (prognosis and recurrence) for GC patients.

NotI microarrays: novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer

Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.

Mutation-based detection and monitoring of cell-free tumor DNA in peripheral blood of cancer patients

Prognosis of solid cancers is generally more favorable if the disease is treated early and efficiently. A key to long cancer survival is in radical surgical therapy directed at the primary tumor followed by early detection of possible progression, with swift application of subsequent therapeutic intervention reducing the risk of disease generalization. The conventional follow-up care is based on regular observation of tumor markers in combination with computed tomography/endoscopic ultrasound/magnetic resonance/positron emission tomography imaging to monitor potential tumor progression. A recent development in methodologies allowing screening for a presence of cell-free DNA (cfDNA) brings a new viable tool in early detection and management of major cancers. It is believed that cfDNA is released from tumors primarily due to necrotization, whereas the origin of nontumorous cfDNA is mostly apoptotic. The process of cfDNA detection starts with proper collection and treatment of blood and isolation and storage of blood plasma. The next important steps include cfDNA extraction from plasma and its detection and/or quantification. To distinguish tumor cfDNA from nontumorous cfDNA, specific somatic DNA mutations, previously localized in the primary tumor tissue, are identified in the extracted cfDNA. Apart from conventional mutation detection approaches, several dedicated techniques have been presented to detect low levels of cfDNA in an excess of nontumorous (nonmutated) DNA, including real-time polymerase chain reaction (PCR), "BEAMing" (beads, emulsion, amplification, and magnetics), and denaturing capillary electrophoresis. Techniques to facilitate the mutant detection, such as mutant-enriched PCR and COLD-PCR (coamplification at lower denaturation temperature PCR), are also applicable. Finally, a number of newly developed miniaturized approaches, such as single-molecule sequencing, are promising for the future.

Genomic profiling of cell-free DNA in blood and bone marrow of prostate cancer patients

PURPOSE

To advance the characterization of tumor-associated cell-free DNA in blood and bone marrow (BM), a rapid profiling method using methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) was established. MS-MLPA detects genetic and epigenetic aberrations of 37 tumor suppressor genes (TSG) in a single reaction and might, therefore, avoid the cumbersome single gene analyses.

METHODS

The validity of MS-MLPA for using cell-free plasma DNA was assessed by analyzing blood and BM samples of 91 patients with prostate cancer. As reference analyses, the methylation patterns of 4 genes (CD44, E-cadherin, CDKN2A and PTEN) chosen from the TSG set of the MS-MLPA kit were investigated in single reactions by sodium bisulfite DNA sequencing.

RESULTS

Copy number changes and aberrant DNA methylation of 37 circulating TSG could be analyzed in BM and blood of 30 and 13 of the 91 patients, respectively, whereas the DNA content in the remaining samples was too low (<50 ng/μl of eluted DNA). The copy number of 28 of the 37 TSG was altered, and most changes were found for APC, CHFR, TP73 and GSTP1 genes in BM plasma. Statistical evaluations showed an association between copy number changes of TP73 and a positive resection margin of the prostate (p = 0.05). Both MS-MLPA and sodium bisulfite sequencing techniques showed that all genes were unmethylated.

CONCLUSIONS

Our results demonstrate the potential and limitation of MS-MLPA for multiplex characterization of TSG in cell-free plasma DNA as a new non-invasive approach to obtain information on the molecular tumor biology of individual cancer patients.

Circulating nucleic acids in plasma and serum: diagnosis and prognosis in cancer

The presence of DNA and RNA circulating in human plasma and serum is described. The known sources of the DNA/RNA in blood, the ability of these nucleic acids to enter other cells and to express in the recipient cells are considered along with their relationship to metastases. The possible role(s) of the DNA/RNA in personalized clinical diagnosis, monitoring of treatment and prognosis in oncology are discussed.

Blood and tissue biomarkers in prostate cancer: state of the art

The prevalence of prostate cancer (PCa) is high and increases with age. PCa is the most common cutaneous cancer in American men. Prostate-specific antigen (PSA) screening has impacted the detection of PCa and is directly responsible for a dramatic decrease in stage at diagnosis. Gleason score and stage at the time of diagnosis remain the mainstay to predict prognosis, in the absence of more accurate and reliable tissue or blood biomarkers. Despite extensive research efforts, very few biomarkers of PCa have been introduced to date in clinical practice. Even screening with PSA has recently been questioned. A thorough analysis of all tissue and serum biomarkers in prostate cancer research cannot be easily synthesized, and goes beyond the scope of the present article. Therefore the authors focus here on the most recently reported tissue and circulating biomarkers for PCa whose application in clinical practice is either current or expected in the near future.

The role of cell-free circulating DNA in the diagnosis and prognosis of prostate cancer

The presence of small amounts of circulating DNA in plasma was demonstrated 60 years ago. Since then, cell-free DNA has been tested for quantity, fragmentation pattern, and tumor-specific sequences in patients with various malignancies. Recent studies have shown that cell-free DNA levels are distinctly increased in most patients with prostate cancer (PCA) and that the DNA fragmentation pattern is different from healthy individuals and patients with benign prostate disease. The origin of this circulating DNA remains largely unknown, but it is established that a small fraction of the DNA is derived from the tumor itself, and genetic (allelic imbalances) and epigenetic (DNA methylation) alterations are regularly detected in patients with PCA. The detection of increased DNA levels and tumor-specific DNA sequences may provide diagnostic and prognostic information. The recent findings in the emerging field of cell-free DNA will be discussed.

Is the role of circulating DNA as a biomarker of cancer being prematurely overrated?

BACKGROUND

Circulating DNA is utilized widely as a genetic biomarker in a variety of pathological conditions, mainly in cancerous conditions. Quantification of circulating DNA and identifying the frequencies of a variety of mutations, microsatellite alterations and gene promoter methylation are the main foci of research on circulating DNA.

CONTENT

A compilation of research reports available to us were reviewed to highlight the rather great variety of methods presently used to isolate circulating DNA, the lack of uniformity in presenting and interpreting quantitative research data as well as the virtual absence of information regarding the structure and function of circulating DNA.

CONCLUSIONS

The information compelled us to conclude that the application of circulating DNA as an unambiguous biomarker is currently overrated. We therefore emphasize the need for elucidating the prevailing questions regarding the origin, function and significance of these nucleic acid molecules before utilizing circulating DNA as a biomarker.

Cell-free tumor DNA in blood plasma as a marker for circulating tumor cells in prostate cancer

PURPOSE

Circulating cell-free DNA in the blood of cancer patients harbors tumor-specific aberrations. Here, we investigated whether this DNA might also reflect the presence of circulating tumor cells (CTC).

EXPERIMENTAL DESIGN

To identify the source of cell-free DNA in blood, plasma derived from 81 patients with prostate cancer was examined for CTCs and cell-free DNA. An epithelial immunospot assay was applied for detection of CTCs, and a PCR-based fluorescence microsatellite analysis with a panel of 14 polymorphic markers was used for detection of allelic imbalances (AI).

RESULTS

The plasma DNA levels significantly correlated with the diagnosis subgroups of localized (stage M0, n = 69) and metastasized prostate cancer (stage M1, n = 12; P = 0.03) and with the tumor stage of these patients (P < 0.005). AI was found on cell-free DNA in plasma from 45.0% and 58.5% of M0 and M1 patients, respectively. Detection of CTCs showed that 71.0% or 92.0% of the M0 and M1 patients harbored 1 to 40 CTCs in their blood, respectively. The occurrence of CTCs correlated with tumor stage (P < 0.03) and increasing Gleason scores (P = 0.04). Notably, significant associations of the number of CTCs with the AI frequencies at the markers D8S137 (P = 0.03), D9S171 (P = 0.04), and D17S855 (P = 0.02) encoding the cytoskeletal protein dematin, the inhibitor of the cyclin-dependent kinase CDKN2/p16 and BRCA1, respectively, were observed.

CONCLUSIONS

These findings show, for the first time, a relationship between the occurrence of CTCs and circulating tumor-associated DNA in blood, which, therefore, might become a valuable new source for monitoring metastatic progression in cancer patients.

Is there evidence of a relationship between benign prostatic hyperplasia and prostate cancer? Findings of a literature review

CONTEXT

More than half the male population aged >50 yr have histologic evidence of benign prostatic hyperplasia (BPH), while prostate cancer (PCa) is among the most common male cancers according to recent registry data. Understanding the aetiologies of both conditions is crucial to reduce the resulting burden of mortality and morbidity.

OBJECTIVE

This review aims to examine the available data on the epidemiology, pathology, risk factors, and genetic markers involved in BPH and PCa; to discuss their clinical implications for management of both conditions; and to discuss their implications for PCa prevention. Our primary objective was to clarify the relationship between BPH and PCa by bringing together evidence from diverse areas of research.

EVIDENCE ACQUISITION

The primary source of data was PubMed, which was searched using Boolean strategies and by scanning lists of related articles. We also examined secondary sources from reference lists of retrieved articles and data presented at recent congresses.

EVIDENCE SYNTHESIS

Accumulating evidence suggests that BPH and PCa share important anatomic, pathologic, and genetic links in addition to the well-established epidemiologic association between these conditions. We also found data that suggest interactions between apparently diverse factors, such as dihydrotestosterone levels and inflammation. Recent publications support the hypothesis that both BPH and PCa are part of the metabolic syndrome, while inflammation is emerging as a major contributor to the development of both BPH and PCa. Although many of the findings are preliminary and require further research, they offer new insight into the mechanisms of disease underlying the development of BPH and PCa.

CONCLUSIONS

Available data suggest that epidemiologic and pathologic links exist between BPH and PCa. Evidence of links between the conditions and contributory factors may offer common preventative strategies for BPH and PCa and common therapeutic approaches to their management.

A critical evaluation of loss of heterozygosity detected in tumor tissues, blood serum and bone marrow plasma from patients with breast cancer

Introduction

The aim of the study was to perform a comparative analysis of LOH (loss of heterozygosity) in primary tumors as well as peripheral blood and bone marrow (BM) of patients with breast cancer (BCa).

Methods

Performing PCR-based fluorescence microsatellite analysis and using a panel of seven polymorphic microsatellite markers, we compared the profiles of LOH in primary tumors, peripheral blood and BM plasma from patients with primary BCa (n = 40, stage M0) as well as tumor tissues and blood serum from metastatic BCa patients (n = 48, stage M1). During the course of systemic treatment blood samplings from 12 M0 and 16 M1 patients were at least once repeated.

Results

The overall incidences of LOH in tumor tissues, blood and BM samples were 27.5%, 9.0% and 5.0%, respectively. The marker D3S1255 was the only one in the panel that showed similar frequencies of LOH ranging from 19.0 to 24.5% in tumor, blood and BM samples. Both M0 blood serum and BM plasma samples displayed the same rate of 19.0%, whereas tumor and M1 serum showed a rate of 24.5% and 24.0%, respectively, at this locus. This marker also showed the highest frequency of LOH in serum and BM samples, whereas in tumor samples LOHs at the markers D13S218 (38%) and D17S855 (36%) were more frequent. Statistical analysis of the tumor samples showed that occurrence of LOH at the markers D3S1255 (P < 0.04), D9S171 (P < 0.05) and D17S855 (P < 0.03) correlated with undifferentiated nuclear grade. Additionally, significant associations of the number of LOH recorded at D17S250 with estrogen receptor (P < 0.02), progesterone receptor (P < 0.03) expression and high proliferation score (Ki-67 expression, P = 0.009) were observed. In blood serum samples a relationship between positive lymph node status and LOH at the marker D3S1255 was revealed (M0 stage, P = 0.05; M0+M1 stage, P = 0.004).

Conclusion

Our study demonstrates heterogeneous profiles and low rates of LOH, particularly on free DNA in BM and blood samples. However, the significant associations of LOH with some risk factors and the demonstrated possibility of monitoring free DNA in patients undergoing systemic therapy suggest that LOH analysis may be developed into a useful diagnostic tool.

Identification of loss of heterozygosity on circulating free DNA in peripheral blood of prostate cancer patients: potential and technical improvements

BACKGROUND

Accurate identification of loss of heterozygosity (LOH) on circulating free DNA is often restricted by technical limitations such as poor quality and quantity of tumor-specific DNA and contamination by normal DNA. However, plasma DNA may harbor tumor-specific genetic alterations and could therefore be an interesting target for noninvasive examinations of tumor DNA.

METHODS

By PCR-based fluorescence microsatellite analysis using 12 polymorphic markers, we investigated LOH on cell-free DNA in blood plasma from 59 patients with localized prostate cancer (PCa) and 12 with metastatic disease (MPCa). In addition, plasma DNA from 21 PCa patients was fractionated into high- and low-molecular-weight DNA by 2 different column systems. To avoid appearance of artificial allelic loss and stabilize the amplification, TMAC (tetramethylammonium chloride) was added to each PCR.

RESULTS

Overall incidences of LOH at all markers analyzed were 10% in PCa and 12% in MPCa samples. Highest frequencies were found at markers D11S898 (28%) in PCa and D6S1631 (27%) in MPCa. Statistical evaluation showed significant associations between LOH and increasing Gleason scores for the marker combinations D6S1631*D8S286*D9S171 (P = 0.03) and D8S286*D9S171 (P = 0.05). Fractionation of plasma DNA resulted in a higher overall LOH frequency in the low-molecular-weight DNA fraction (23%) compared with the high-molecular-weight DNA (7%).

CONCLUSIONS

LOH analysis of circulating DNA can provide tumor-specific genetic information on PCa patients. Fractionation of plasma DNA and addition of TMAC improved LOH detection and general assay performance.

‘Other’ applications of single nucleotide polymorphisms

Single nucleotide polymorphisms (SNPs) are the most frequent form of sequence variation in the human genome, occurring on average every 300 base pairs. Owing to their high density, SNPs are considered useful for identifying the genes associated with complex diseases. The focus of this Opinion article is the recent applications of SNPs that fall outside of disease association studies. These applications are diverse, ranging from using SNPs as qualitative markers for distinguishing individuals in mixed samples to using SNPs for quantitative genomic DNA and RNA transcript dosage assessment. These are possible owing to the millions of validated SNPs and the variety of robust SNP analysis platforms.

Detection of tumor-specific DNA in blood and bone marrow plasma from patients with prostate cancer

Tumor tissues, blood plasma and bone marrow (BM) aspirates of 57 prostate cancer patients (PCa) without clinical signs of overt metastases were assessed for LOH (loss of heterozygosity) by a PCR-based fluorescence microsatellite analysis, using a panel of 15 markers. Additionally, micrometastatic tumor cells in BM were monitored by an immunocytological cytokeratin assay. In total, 25 (44%), 32 (56%) and 41 (72%) of the patients had at least 1 LOH in their blood, BM and tumor samples, respectively. Among the informative cases, the frequency of LOH was highest in blood plasma for the markers D8S360 (18%) and D10S1765 (15%), and in BM plasma for THRB (24%) and D8S137 (22%). Comparison of blood plasma and BM with tumors showed discrepant results in 35% and 45% of patients, respectively. Whereas all LOHs at THRB in BM plasma were also detected in the autologous tumor tissues, LOHs at D6S474 and D11S898 in BM were not retrieved in the tumors. The comparison with established risk factors showed a correlation of borderline significance for LOH at D9S1748 in the BM aspirates (p=0.055) and a significant correlation in the tumor samples (p=0.004) with increasing pathologic Gleason scores. Interestingly, 22% of the PCa patients harbored tumor cells in their BM and tended (p=0.065) to have more frequent LOH (16%) in BM plasma compared to patients without tumor cells (9%). These data demonstrate, for the first time, the presence of free tumor-specific DNA in blood and BM of PCa patients and suggest a possible relationship to BM micrometastasis.