Loss of heterozygosity assay for molecular detection of cancer using energy-transfer primers and capillary array electrophoresis

Detecting Biothreat Agents: From Current Diagnostics to Developing Sensor Technologies

Although a fundamental understanding of the pathogenicity of most biothreat agents has been elucidated and available treatments have increased substantially over the past decades, they still represent a significant public health threat in this age of (bio)terrorism, indiscriminate warfare, pollution, climate change, unchecked population growth, and globalization. The key step to almost all prevention, protection, prophylaxis, post-exposure treatment, and mitigation of any bioagent is early detection. Here, we review available methods for detecting bioagents including pathogenic bacteria and viruses along with their toxins. An introduction placing this subject in the historical context of previous naturally occurring outbreaks and efforts to weaponize selected agents is first provided along with definitions and relevant considerations. An overview of the detection technologies that find use in this endeavor along with how they provide data or transduce signal within a sensing configuration follows. Current "gold" standards for biothreat detection/diagnostics along with a listing of relevant FDA approved in vitro diagnostic devices is then discussed to provide an overview of the current state of the art. Given the 2014 outbreak of Ebola virus in Western Africa and the recent 2016 spread of Zika virus in the Americas, discussion of what constitutes a public health emergency and how new in vitro diagnostic devices are authorized for emergency use in the U.S. are also included. The majority of the Review is then subdivided around the sensing of bacterial, viral, and toxin biothreats with each including an overview of the major agents in that class, a detailed cross-section of different sensing methods in development based on assay format or analytical technique, and some discussion of related microfluidic lab-on-a-chip/point-of-care devices. Finally, an outlook is given on how this field will develop from the perspective of the biosensing technology itself and the new emerging threats they may face.

Molecular Heterogeneity in Primary Breast Carcinomas and Axillary Lymph Node Metastases Assessed by Genomic Fingerprinting Analysis

Molecular heterogeneity within primary breast carcinomas and among axillary lymph node (LN) metastases may impact diagnosis and confound treatment. In this study, we used short tandem repeated sequences to assess genomic heterogeneity and to determine hereditary relationships among primary tumor areas and regional metastases from 30 breast cancer patients. We found that primary carcinomas were genetically heterogeneous and sampling multiple areas was necessary to adequately assess genomic variability. LN metastases appeared to originate at different time periods during disease progression from different sites of the primary tumor and the extent of genomic divergence among regional metastases was associated with a less favorable patient outcome (P = 0.009). In conclusion, metastasis is a complex process influenced by primary tumor heterogeneity and variability in the timing of dissemination. Genomic variation in primary breast tumors and regional metastases may negatively impact clinical diagnostics and contribute to therapeutic resistance.

Molecular alterations associated with breast cancer mortality

Background

Breast cancer is a heterogeneous disease and patients with similar pathologies and treatments may have different clinical outcomes. Identification of molecular alterations associated with disease outcome may improve risk assessment and treatments for aggressive breast cancer.

Methods

Allelic imbalance (AI) data was generated for 122 invasive breast tumors with known clinical outcome. Levels and patterns of AI were compared between patients who died of disease (DOD) and those with ≥5 years disease-free survival (DFS) using Student t-test and chi-square analysis with a significance value of P<0.05.

Results

Levels of AI were significantly higher in tumors from the 31 DOD patients (28.6%) compared to the 91 DFS patients (20.1%). AI at chromosomes 7q31, 8p22, 13q14, 17p13.3, 17p13.1 and 22q12.3 was associated with DOD while AI at 16q22–q24 was associated with DFS. After multivariate analysis, AI at chromosome 8p22 remained an independent predictor of breast cancer mortality. The frequency of AI at chromosome 13q14 was significantly higher in patients who died ≥5 years compared to those who died <5 years from diagnosis.

Conclusion

Tumors from DOD compared to DFS patients are marked by increased genomic instability and AI at chromosome 8p22 is significantly associated with breast cancer morality, independent of other clinicopathological factors. AI at chromosome 13q14 was associated with late (>5-years post-diagnosis) mortality but not with death from disease within five years, suggesting that patients with short- and long-term mortality may have distinct genetic diseases.

Genomic (in)stability of the breast tumor microenvironment

The breast tumor microenvironment plays an active role in tumorigenesis. Molecular alterations have been identified in tumor-associated stroma; however, there is considerable debate as to whether the stroma is characterized by genomic instability or whether detection of chromosomal alterations reflects technological artifact rather than the true genomic content of the tumor microenvironment. Thus, breast stroma specimens from 112 women undergoing reductive mammoplasty (n = 7), prophylactic mastectomy (n = 6), or mastectomy for a breast disease (n = 99) were frozen in optimal cutting temperature medium. Allelic imbalance (AI) analysis was conducted using a panel of 52 microsatellite markers in 484 stromal specimens from 98 women, of which 92% had no detectable AI events. When compared with previously generated AI data from 77 formalin-fixed, paraffin-embedded (FFPE) stroma specimens, 42% of which harbored at least one detectable AI event, the frequency of AI in the FFPE specimens (4.62%) was significantly higher (P < 0.001) than that found in frozen specimens (0.45%). This comparison of AI between FFPE and research-grade specimens suggests that past reports of AI in breast stroma reflect artifact in the archival specimens caused by formalin-fixation, paraffin-embedding and tissue storage. Furthermore, SNP data were generated from a subset of 86 stromal specimens using SNP arrays and copy number alterations were identified using Partek Genomics Suite. For 95% of the specimens, no detectable copy number alterations were found and the 11 changes that were detected were small and not shared between specimens. These data, therefore, support a model in which the tumor microenvironment is genetically stable.

An integrated microdevice for high-performance short tandem repeat genotyping

Short tandem repeat (STR) analysis provides genetic fingerprinting of individuals, and is considered as a powerful and indispensable technique for forensic human identification. However, the current state-of-the-art STR genotyping processes and instruments are labor intensive, expensive, time consuming, and lack portability. Micro-total-analysis systems or lab-on-a-chip platforms based on microfabrication technologies have the capability to miniaturize and integrate bioanalysis steps in a single format. Recent progress in microsystems has demonstrated their successful performance for the forensic STR typing with a reduced cost, high speed, and improved high throughput. The purpose of this review article is to highlight up-to-date work on advanced microdevices for high-throughput STR genotyping, and a portable integrated microsystem for on-site forensic DNA analysis.

Molecular changes in primary breast tumors and the Nottingham Histologic Score

Pathological grade is routinely used to stratify breast cancer patients into favorable and less favorable outcome groups. Mechanisms by which genomic changes in breast tumors specifically contribute to the underlying components of tumor grade - tubule formation, nuclear pleomorphism, and mitoses - are unknown. This study examined 26 chromosomal regions known to be altered in breast cancer in 256 invasive breast carcinomas. Differences in overall levels and patterns of allelic imbalance (AI) at each chromosomal region were compared for tumors with favorable (=1) and unfavorable (=3) scores for tubule formation, nuclear pleomorphism and mitotic count. Levels of AI were significantly different between samples with high and low scores for tubule formation (P < 0.001), nuclear pleomorphism (P < 0.001) and mitotic count (P < 0.05). Significantly higher levels of AI were detected at regions 11q23 and 13q12 for tumors with reduced tubule formation, chromosomes 9p21, 11q23, 13q14, 17p13 and 17q12 for those with high levels of nuclear atypia, and chromosomes 1p36, 11q23, and 13q14 for those with high mitotic counts. Region 16q11-q22 showed significantly more AI events in samples with low nuclear atypia. Patterns of genetic changes associated with poorly-differentiated breast tumors were recapitulated by the individual components of the Nottingham Histologic Score. While frequent alteration of 11q23 is common for reduced tubule formation, high nuclear atypia and high mitotic counts, suggesting that this is an early genetic change in the development of poorly-differentiated breast tumors, alterations at the other seven loci associated with poorly-differentiated tumors may specifically influence cell structure, nuclear morphology and cellular proliferation.

Amplification of HER2 is a marker for global genomic instability

Background

Genomic alterations of the proto-oncogene c-erbB-2 (HER-2/neu) are associated with aggressive behavior and poor prognosis in patients with breast cancer. The variable clinical outcomes seen in patients with similar HER2 status, given similar treatments, suggests that the effects of amplification of HER2 can be influenced by other genetic changes. To assess the broader genomic implications of structural changes at the HER2 locus, we investigated relationships between genomic instability and HER2 status in patients with invasive breast cancer.

Methods

HER2 status was determined using the PathVysion^® assay. DNA was extracted after laser microdissection from the 181 paraffin-embedded HER2 amplified (n = 39) or HER2 negative (n = 142) tumor specimens with sufficient tumor available to perform molecular analysis. Allelic imbalance (AI) was assessed using a panel of microsatellite markers representing 26 chromosomal regions commonly altered in breast cancer. Student t-tests and partial correlations were used to investigate relationships between genomic instability and HER2 status.

Results

The frequency of AI was significantly higher (P < 0.005) in HER2 amplified (27%) compared to HER2 negative tumors (19%). Samples with HER2 amplification showed significantly higher levels of AI (P < 0.05) at chromosomes 11q23, 16q22-q24 and 18q21. Partial correlations including ER status and tumor grade supported associations between HER2 status and alterations at 11q13.1, 16q22-q24 and 18q21.

Conclusion

The poor prognosis associated with HER2 amplification may be attributed to global genomic instability as cells with high frequencies of chromosomal alterations have been associated with increased cellular proliferation and aggressive behavior. In addition, high levels of DNA damage may render tumor cells refractory to treatment. In addition, specific alterations at chromosomes 11q13, 16q22-q24, and 18q21, all of which have been associated with aggressive tumor behavior, may serve as genetic modifiers to HER2 amplification. These data not only improve our understanding of HER in breast pathogenesis but may allow more accurate risk profiles and better treatment options to be developed.

Poorly differentiated colorectal adenocarcinomas show higher rates of microsatellite instability and promoter methylation of p16 and hMLH1: a study matched for T classification and tumor location

BACKGROUND

Extensive genetic and epigenetic analysis of poorly differentiated colorectal adenocarcinomas (Por) has been difficult, as the number of cases is too small.

METHODS

We investigated genetic and epigenetic alterations of 53 cases of Por and 53 cases of well-differentiated colorectal adenocarcinomas (WD) to clarify their differences. The cases of WD were matched with the cases of Por for T classification and tumor location, which influence genetic and epigenetic alterations. We evaluated microsatellite instability (MSI) status and loss of heterozygosity (LOH) of four loci (2p, 5q, 17p, 18q), and defined "MSI tumors" as those that showed MSI-H, and "chromosomal instability (CIN) tumors" as those that showed LOH but not MSI-H. Further, we evaluated the methylation status of the hMLH1 and p16 promoter region.

RESULTS

MSI tumors were significantly more frequent in Por (22.6%) than in WD (3.8%; P = 0.0041). CIN tumors were significantly less frequent in Por (64.2%) than in WD (83.0%; P = 0.046). Further, methylation of the p16 and hMLH1 promoter region was significantly more frequent in Por than in WD (P = 0.037, P = 0.047, respectively).

CONCLUSIONS

Our results indicate that Por tumorigenesis strongly correlates with MSI and methylation of the p16 and hMLH1 promoter region.

High-throughput DNA diagnostic measurements using capillary electrophoresis: p53, fragile X and telomerase

Capillary electrophoresis (CE) has become recognized as a powerful tool for the characterization of DNA. It has numerous advantages over slab-gel electrophoresis in that it is fast, highly reproducible and easy to automate. It is well known for its contribution to success in sequencing the human genome, but it is equally important in a wide range of forensic and pharmaceutical applications. Of these applications, CE plays a large and important role in mutation scanning and DNA sizing. From the author's laboratory, three previously published examples are given of clinical applications in this area that have benefited from the use of capillary electrophoresis: the detection of p53 mutations by single strand conformational polymorphism, the analysis of fragile X syndrome and the measurement of telomerase activity. There are many examples from other laboratories where CE has played an important role in this field. For acceptance by the medical community, there must be a clear demonstration that capillary electrophoresis can replace and improve previous slab-gel methods. In this regard, the examples given in this review help to demonstrate that CE can replace previous slab-gel methods and show that CE can improve a wide range of applications in the medical field.

Genomic instability and the development of metastatic lymph node tumors

BACKGROUND

Although recent data suggest that cells with metastatic potential disseminate from the primary breast tumor early in tumor development, the mechanism by which disseminated breast cancer cells proliferate within foreign tissues is not well understood. Here, we examined levels and patterns of allelic imbalance (AI) in metastatic lymph node (LN) tumors to identify molecular signals that promote the survival and growth of disseminated breast tumor cells.

METHODS

DNA from 106 metastatic LN tumors from 25 patients was isolated after laser microdissection of pure tumor cell populations. AI was assessed at 26 chromosomal regions frequently altered in breast cancer. Tumor burden was calculated by dividing the area of the metastatic tumor in the node by the area of the entire LN.

RESULTS

Metastatic tumor burden ranged from focal to complete replacement of the LN with tumor. Grouping the nodes as < 25% tumor, 25-50% tumor, 50-75% tumor, and > or = 75% tumor replacement revealed the average frequency of AI ranged from 0.13 (+/-0.11) in the < 25% group to 0.17 (+/-0.13) in LNs with > or = 75% tumor burden. The range of AI in both the < 25% and > 75% replacement group was 0.00-0.48. Allelic losses at chromosomal regions 1p36.1-36.2, 5q21.1-21.3, 6q15, 10q23.31-23.33, and 17p13.1 were significantly higher in metastatic LNs with > 75% compared with < 25% tumor burden.

CONCLUSIONS

In metastatic LNs, levels of AI were not associated with tumor burden, suggesting that accumulation of genetic changes is not coincidental with tumor growth; rather the accumulation of specific genetic changes is a prerequisite to the transformation of disseminated breast cells into metastatic LN tumors.

Correlation of Levels and Patterns of Genomic Instability With Histological Grading of DCIS

BACKGROUND

Histological grading of ductal carcinoma-in-situ (DCIS) lesions separates DCIS into three subgroups (well-, moderately, or poorly differentiated). It is unclear, however, whether breast disease progresses along a histological continuum or whether each grade represents a separate disease. In this study, levels and patterns of allelic imbalance (AI) were examined in DCIS lesions to develop molecular models that can distinguish pathological classifications of DCIS.

METHODS

Laser microdissected DNA samples were collected from DCIS lesions characterized by a single pathologist including well- (n = 18), moderately (n = 35), and poorly differentiated (n = 47) lesions. A panel of 52 microsatellite markers representing 26 chromosomal regions commonly altered in breast cancer was used to assess patterns of AI.

RESULTS

The overall frequency of AI increased significantly (P < .001) with increasing grade (well differentiated, 12%; moderately differentiated, 17%; poorly differentiated, 26%). Levels of AI were not significantly different between well- and moderately differentiated grades of disease but were significantly higher (P < .0001) in poorly differentiated compared with well- or moderately differentiated disease. No statistically significant differences in patterns of AI were detected between well- and moderately differentiated disease; however, AI occurred significantly more frequently (P < .05) in high-grade lesions at chromosomes 6q25-q27, 8q24, 9p21, 13q14, and 17p13.1, and significantly more frequently in low-grade lesions at chromosome 16q22.3-q24.3.

CONCLUSIONS

The inability to discriminate DCIS at the genetic level suggests that grades 1 and 2 DCIS may represent a single, non-high-grade form of DCIS, whereas poorly differentiated DCIS seems to be a genetically more advanced disease that may represent a discrete disease entity, characterized by a unique spectrum of genetic alterations.

Assessment of the frequency of allelic imbalance in human tissue using a multiplex polymerase chain reaction system

Genomic instability can generate chromosome breakage and fusion randomly throughout the genome, frequently resulting in allelic imbalance, a deviation from the normal 1:1 ratio of maternal and paternal alleles. Allelic imbalance reflects the karyotypic complexity of the cancer genome. Therefore, it is reasonable to speculate that tissues with more sites of allelic imbalance have a greater likelihood of having disruption of any of the numerous critical genes that cause a cancerous phenotype and thus may have diagnostic or prognostic significance. For this reason, it is desirable to develop a robust method to assess the frequency of allelic imbalance in any tissue. To address this need, we designed an economical and high-throughput method, based on the Applied Biosystems AmpFlSTR Identifiler multiplex polymerase chain reaction system, to evaluate allelic imbalance at 16 unlinked, microsatellite loci located throughout the genome. This method provides a quantitative comparison of the extent of allelic imbalance between samples that can be applied to a variety of frozen and archival tissues. The method does not require matched normal tissue, requires little DNA (the equivalent of approximately 150 cells) and uses commercially available reagents, instrumentation, and analysis software. Greater than 99% of tissue specimens with >or=2 unbalanced loci were cancerous.

Correlation of levels and patterns of genomic instability with histological grading of invasive breast tumors

Pathological grade is a useful prognostic factor for stratifying breast cancer patients into favorable (well-differentiated tumors) and less favorable (poorly-differentiated tumors) outcome groups. The current system of tumor grading, however, is subjective and a large proportion of tumors are characterized as intermediate-grade tumors, making determination of optimal treatments difficult. To determine whether molecular profiles can discriminate breast disease by grade, patterns and levels of allelic imbalance (AI) at 26 chromosomal regions frequently altered in breast disease were examined in 185 laser microdissected specimens representing well-differentiated (grade 1; n = 55), moderately-differentiated (grade 2; n = 71), and poorly-differentiated (grade 3; n = 59) stage I-IV breast tumors. Overall levels of AI were significantly higher in grade 3 compared to grade 1 tumors (P < 0.05). Grades 1 and 3 showed distinct genetic profiles--grade 1 tumors were associated with large deletions of chromosome 16q22, while alterations at 9p21, 11q23, 13q14, 17p13.1 and 17q12 were characteristics of grade 3 carcinomas. In general, levels and patterns of AI in grade 2 carcinomas were intermediate between grade 1 and grade 3 tumors. Patterns of AI accurately categorized approximately 70% of samples into high- or low-grade disease groups, suggesting that the majority of breast tumors have genetic profiles consistent with high- or low-grade, and that molecular signatures of breast tumors can be useful for more accurate characterization of invasive breast cancer.

Loss of heterozygosity and human telomerase reverse transcriptase (hTERT) expression in bronchial mucosa of heavy smokers

BACKGROUND

Lung carcinogenesis is a multistep process of accumulation of genetic changes, including loss of heterozygosity (LOH), and precedes phenotypic transformation of the bronchial mucosa. The activity of telomerase, correlating with the hTERT mRNA expression, is detectable in a majority of neoplasms. In this study, the frequency of LOH and hTERT expression in bronchial mucosa of heavy smokers in bronchoscopic biopsies was analyzed.

METHODS

LOH was examined in 122 bronchial specimens from 81 smokers (67 normal mucosa/bronchitis, 12 squamous metaplasia, 28 dysplasia, 15 bronchogenic carcinoma specimens) by polymerase chain reaction (PCR) and capillary electrophoresis by using 7 fluorescence-labeled markers matching 5 chromosomal regions. hTERT expression was analyzed in 87 specimens (45 normal mucosa/bronchitis, 12 squamous metaplasia, 18 dysplasia, 12 bronchogenic carcinoma specimens) by real-time quantitative reverse-transcription PCR.

RESULTS

LOH was detected in at least 1 chromosomal region in 51 of 122 (41.8%) specimens; the incidence in normal bronchial mucosa and preneoplastic lesions was similar (20%-40%); a substantial rise (87%) occurred in carcinomas. The median normalized hTERT(N) values were 6.67 in normal epithelium/chronic bronchitis, 18.38 in squamous metaplasia, 13.31 in epithelial dysplasia, and 75.46 in carcinomas. These results were significantly different (P=.0036). With an increasing number of LOH, the median value of hTERT(N) expression rose, but hTERT was expressed also in tissue samples without any LOH detection.

CONCLUSIONS

Results indicated that hTERT expression, together with LOH, represent early events in lung carcinogenesis, as both were detected in precancerous lesions and in normal epithelium of heavy smokers.

Evaluation of microsatellite amplifications at chromosomal locus 3q26 as surrogate marker for premalignant changes in mucosa surrounding head and neck squamous cell carcinoma

We analyzed tumor and surrounding mucosal samples of head and neck squamous cell carcinoma by fragment analysis for gain of genomic material as a potential indicator for oncogenic transformation. Our aim was to evaluate the potential value of this fast and sensitive polymerase chain reaction (PCR)-based method for intra-operative detection of chromosomal aberrations as a surrogate marker for incomplete tumor resection. Biopsies of the primary tumors and adjacent macroscopically nonmalignant mucosa 1 and 2 cm away from the tumor margins were collected from 20 patients. DNA were isolated, and 11 microsatellite markers at loci 3q25.31 approximately 3q28 were amplified by PCR. Allelic losses or gains were analyzed by capillary electrophoresis. Imbalanced alleles were common in the samples evaluated. In the median gains of the informative loci were detected in 67% of the primary tumors, 22% of the samples taken at 1 cm and 15% of the samples taken at 2 cm distance. We observed gains of 3q at least in one microsatellite in all primary tumors, in 15 (1 cm) and 12 (2 cm) nonmalignant mucosa samples. Gain of genetic material is frequent in tumor-surrounding mucosa. Detection of small chromosomal aberrations is possible using the PCR-based, highly sensitive, and fast-to-perform fragment analysis technique. The value for the diagnosis and prognosis will have to be proven in follow-up studies.

Mucinous colorectal cancers with chromosomal instability: a biologically distinct and aggressive subtype

Colorectal cancers can progress through 2 pathways of genomic instability: microsatellite instability (MSI) and chromosomal instability (CSI). We investigated the influence of CSI and MSI on clinicopathological features and survival of 35 patients affected by mucinous colorectal cancers (MCRC). MSI status was determined by PCR amplification using 5 standard markers. Evidence for CSI was gathered by identifying loss of heterozygosity (LOH) of 4 loci (2p, 5q, 17p, 18q). We defined "MSI-MCRC" as those that showed MSI-H, and "CSI-MCRC" as those that showed LOH at 1 or more of these sites but did not show MSI-H. Among 35 cases, 18 cases (51.4%) were CSI-MCRC, whereas 11 cases (31.4%) were MSI-MCRC. Significant differences were found between CSI-MCRC and MSI-MCRC regarding the following clinicopathological features: tumor location (P=0.00026), lymph node metastasis (P=0.026), and TNM stage (P=0.026). Kaplan-Meier survival curves and log-rank analysis demonstrated that MSI-MCRC was associated with better prognosis than CSI-MCRC, although no significant difference was found (P=0.10). CSI-MCRC correlates more strongly with lymph node metastasis and advanced stage than MSI-MCRC. This indicates that CSI-MCRC is an aggressive subtype.

Timing of Critical Genetic Changes in Human Breast Disease

BACKGROUND

Breast cancer development has been characterized as a nonobligatory sequence of histological changes from normal epithelium through invasive malignancy. Although genetic alterations are thought to accumulate stochastically during tumorigenesis, little is known about the timing of critical mutations. This study examined allelic imbalance (AI) in tissue samples representing a continuum of breast cancer development to examine the evolution of genomic instability.

METHODS

Laser-microdissected DNA samples were collected from histologically normal breast specimens (n = 25), atypical ductal hyperplasia (ADH, n = 16), ductal carcinoma-in-situ (DCIS, n = 37), and stage I to III invasive carcinomas (n = 72). Fifty-two microsatellite markers representing 26 chromosomal regions commonly deleted in breast cancer were used to assess patterns of AI.

RESULTS

AI frequencies were <5% in histologically normal and ADH specimens, 20% in DCIS lesions, and approximately 25% in invasive tumors. Mann-Whitney tests showed (1) that levels of AI in ADH samples did not differ significantly from those in histologically normal tissues and (2) that AI frequencies in DCIS lesions were not significantly different from those in invasive carcinomas. ADH and DCIS samples, however, differed significantly (P < .0001).

CONCLUSIONS

DCIS lesions contain levels of genomic instability that are characteristic of advanced invasive tumors, and this suggests that the biology of a developing carcinoma may already be predetermined by the in situ stage. Observations that levels of AI in ADH lesions are similar to those in disease-free tissues provide a genomic rationale for why prevention strategies at the ADH level are successful and why cases with ADH involving surgical margins do not require further resection.

Allelic imbalance in primary breast carcinomas and metastatic tumors of the axillary lymph nodes

Axillary lymph node status is the most important prognostic factor in predicting disease outcome in women with breast cancer. A number of chromosomal aberrations in primary breast tumors have been correlated with lymph node status and clinical outcome, but chromosomal changes particular to metastatic lymph node tumors have not been well studied. DNA samples isolated from laser-microdissected primary breast and metastatic axillary lymph node tumors from 25 women with invasive breast cancer were amplified using 52 microsatellite markers defining 26 chromosomal regions commonly deleted in breast cancer. Levels and patterns of allelic imbalance (AI) within and between breast and lymph node tumors were assessed to identify chromosomal alterations unique to primary or metastatic tumors and to examine the timing of metastatic potential. The overall frequency of AI in primary breast tumors (0.24) was significantly greater (P < 0.001) than that in lymph node tumors (0.10), and congruent AI events were observed for < 20% of informative markers. AI at chromosomes 11q23.3 and 17p13.3 occurred significantly more frequently (P < 0.05) in primary breast tumors alone; no chromosomal regions showed a significantly higher AI frequency in lymph nodes. Higher rates of AI in primary versus metastatic lymph node tumors suggest that acquisition of metastatic potential may be an early event in carcinogenesis, occurring before significant levels of AI accumulate in the primary tumor. In addition, patterns of AI were highly discordant between tumor types, suggesting that additional genetic alterations accumulated independently in the two cell populations.

Mucinous carcinomas of the colon and rectum show higher rates of microsatellite instability and lower rates of chromosomal instability: a study matched for T classification and tumor location

BACKGROUND

The clinicopathologic significance of mucinous carcinomas (Muc) of the colon and rectum has been widely discussed, but there have been few studies on Muc regarding genetic and epigenetic alterations. The current study analyzed genetic and epigenetic alterations of Muc to clarify their differences from well differentiated adenocarcinomas (WD).

METHODS

Thirty-nine cases of Muc and 39 cases of WD were investigated. Cases of WD were matched with cases of Muc for T classification and tumor location. Microsatellite instability (MSI) status and loss of heterozygosity (LOH) of four loci (2p, 5q, 17p, 18q) were evaluated. The methylation status of the hMLH1 promoter region in Muc was also examined.

RESULTS

"MSI tumors" were defined as those that showed MSI-high, and "chromosomal instability (CIN) tumors" were defined as those that showed LOH but not MSI-high. MSI tumors were significantly more frequent in Muc (30.8%) than in WD (5.1%). CIN tumors were significantly less frequent in Muc (53.8%) than in WD (87.2%). In Muc, MSI tumors were significantly more frequent in the proximal colon (55.6%) than in the distal colon (9.5%). Also, methylation of the hMLH1 promoter region in Muc was significantly more frequent in MSI tumors (83.3%) than in CIN tumors (27.8%) (P = 0.0077).

CONCLUSIONS

When matched for T classification and tumor location, Muc shows higher rates of MSI and lower rates of CIN than WD.. Muc shows different characteristics according to tumor location, and methylation of the hMLH1 promoter region strongly correlates with Muc tumors showing MSI.

Genomic patterns of allelic imbalance in disease free tissue adjacent to primary breast carcinomas

Mammary stroma plays an important role in facilitating the neoplastic transformation of epithelial cells, modulating integrity of the extracellular matrix, and maintaining genomic stability, but molecular mechanisms by which stroma affects epithelial structure and function are not well-defined. We used laser-assisted microdissection of paraffin-embedded breast tissues from 30 patients with breast disease and a panel of 52 microsatellite markers defining 26 chromosomal regions to characterize genomic patterns of allelic imbalance (AI) in disease-free tissue adjacent to sites of breast disease and to define genomic regions that may contain genes associated with early carcinogenic processes. The mean frequency of AI in histologically normal tissue adjacent to the primary carcinomas (15.4%) was significantly higher than that in distant tissue from the same breast (3.7%). The pattern of AI across all chromosomal regions differed between the adjacent tissue and primary tumor in every case. Unique AI events, observed only in tumor (15% of informative markers) or only in adjacent cells (10% of informative markers), were far more common than AI events shared between tumor and adjacent cells (approximately 4%). Levels of AI characteristic of advanced invasive carcinomas were already present in non-invasive ductal carcinomas in situ, and appreciable levels of AI were observed in adjacent non-neoplastic tissue at all pathological stages. Chromosome 11p15.1 showed significantly higher levels of AI in adjacent cells (p < 0.01), suggesting that this region may harbor genes involved in breast cancer development and progression. Our data indicate that genomic instability may be inherently greater in disease-free tissue close to developing tumors, which may have important implications for defining surgical margins and predicting recurrence.

Outer breast quadrants demonstrate increased levels of genomic instability

BACKGROUND

Theory holds that the upper outer quadrant of the breast develops more malignancies because of increased tissue volume. This study evaluated genomic patterns of loss of heterozygosity (LOH) and allelic imbalance (AI) in non-neoplastic tissues from quadrants of diseased breasts following mastectomy to characterize relationships between genomic instability and the propensity for tumor development.

METHODS

Tissues from breast quadrants were collected from 21 patients with various stages of breast carcinoma. DNA was isolated from non-neoplastic tissues using standard methods and 26 chromosomal regions commonly deleted in breast cancer were examined to assess genomic instability.

RESULTS

Genomic instability was observed in breast quadrants from patients with ductal carcinomas in situ and advanced carcinomas. Levels of instability by quadrant were not predictive of primary tumor location (P =.363), but outer quadrants demonstrated significantly higher levels of genomic instability than did inner quadrants (P =.017). Marker D8S511 on chromosome 8p22-21.3, one of the most frequently altered chromosomal regions in breast cancer, showed a significantly higher level of instability (P =.039) in outer compared with inner quadrants.

CONCLUSIONS

Non-neoplastic breast tissues often harbor genetic changes that can be important to understanding the local breast environment within which cancer develops. Greater genomic instability in outer quadrants can partially explain the propensity for breast cancers to develop there, rather than simple volume-related concepts. Patterns of field cancerization in the breast appear to be complex and are not a simple function of distance from a developing tumor.

Microsatellite instability genotyping in hepatocellular carcinoma by capillary electrophoresis system and its effective factors

AIM: To search for a large-scale automated microsatellite instability genotyping method for genomic scanning in liver neoplasms.

METHODS: Fluorescent PCR products of 6 microsatellite polymorphic markers in 56 cases of hepatocellular carcinoma were separated on the MegaBACE-500 capillary array electrophoresis (CAE) instrument and analyzed with MegaBACE Genetic Profiler software. The effects of different reaction residues concentration in PCR reactive system on genotyping were investigated.

RESULTS: Genetyping of forty-eight specimens was achieved in parallel by using PCR and capillary electrophoresis system after one cycle. The genotyping profiles included heterozygosity, homozygosity, loss of heterozygosity, microsatellite instability and allelic imbalance, in which the phenotypes of microsatellite instability had a lot of characteristics. MSI was found in 18 of 56 HCC (32.1%) at one or several loci. Ten of 56 (18.2%) HCCs had MSI-H. The concentration of reaction residues (including dNTP, primers, and salt ion) in PCR system effected badly on scoring errors in allele size, which might result in misleading conclusions. The concentration of PCR reaction products affected little on scoring errors, and about 50 ng/μL was suitable for analysis.

CONCLUSION: The frequency of microsatellite instability is very low in HCC and it is an uncommom event during hepatocarcinogenesis. MegaBACE-500 CAE instrument and MegaBACE Genetic Profiler software is a high-throughput, accurate and reliable method for genomic scanning, but products and salt ion concentration in PCR reactive system is one of the key factors altering genotyping results.

Immunocytochemistry versus molecular fingerprinting of metastases

Examination of cytological samples of cancer to suggest a possible primary site of origin is one of the commonest and most difficult tasks of diagnostic cytopathologists. Currently, both cytomorphology and immunocytochemistry are the main approaches to this diagnostic dilemma. We report the application of microsatellite analysis in cytological samples in a patient with a primary colonic tumour and two subsequent lung nodules, which were suspected on CT scans of the chest, and compared the findings with those obtained with conventional immunocytochemistry. The molecular results were in agreement with the radiological impression and conflicted with the immunocytochemistry. We conclude that immunocytochemical and molecular biology approaches to the diagnosis of tumours may give rise to contradictory results.

The use of capillary electrophoresis for DNA polymorphism analysis

Capillary electrophoresis has advanced enormously over the last 10 yr as a tool for DNA sequencing, driven by the human and other major genome projects and by the need for rapid electrophoresis-based DNA diagnostic tests. The common need of these analyses is a platform providing very high throughput, high-quality data, and low process costs. These demands have led to capillary electrophoresis machines with multiple capillaries providing highly parallel analyses, to new electrophoresis matrices, to highly sensitive spectrofluorometers, and to brighter, spectrally distinct fluorescent dyes with which to label DNA. Capillary devices have also been engineered onto microchip formats, on which both the amount of sample required for analysis and the speed of analysis are increased by an order of magnitude. This review examines the advances made in capillary and chip-based microdevices and in the different DNA-based assays developed for mutation detection and genotype analysis using capillary electrophoresis. The automation of attendant processes such as for DNA sample preparation, PCR, and analyte purification are also reviewed. Together, these technological developments provide the throughput demanded by the large genome-sequencing projects.

Hydroxyethylcellulose as an effective polymer network for DNA analysis in uncoated glass microchips: optimization and application to mutation detection via heteroduplex analysis

The nature of the sieving matrix for DNA fragment separation is of immense importance in capillary and microchip electrophoresis. The chemical nature of the surface of the capillary or microchannel wall is equally as important, particularly with DNA electrophoresis where a substantial electroosmotic flow (EOF) may be detrimental to the separation. Although DNA analysis has been carried out successfully in both coated and uncoated capillaries, analysis of unpurified polymerase chain reaction products has been carried out primarily with covalently coated surfaces, especially with microchip electrophoresis. In this report, double-stranded (ds) DNA fragment analysis using hydroxyethylcellulose (HEC) buffered in 1xTris-borate-EDTA is demonstrated both in uncoated capillaries and in microchips. EOF was suppressed 20% in the presence of 1.5% HEC, and the effectiveness of HEC as a polymer for dsDNA fragment analysis was dependent on the pH, with pH 8.6 being optimal. Using separation efficiency (number of theoretical plates) and resolution to gauge the effectiveness of a variety of polymers for the capillary separation of dsDNA fragments in the size range 60-587bp, HEC was found to be comparable in performance to polydimethylacrylamide (PDMA), and superior to linear polyacrylamide and polyethylene oxide for DNA analysis. With respect to longevity and robust performance, HEC could be used effectively in an uncoated capillary for more than 40 runs and for more than 90 runs (without replenishing the polymer) in an uncoated microchip. Application of the optimized HEC conditions is demonstrated through its ability to facilitate heteroduplex analysis.

Genetic alterations in normal epithelium of colorectal cancer patients may be a useful indicator for subsequent metachronous tumor development

BACKGROUND

We attempted to identify areas of microsatellite alterations specific to histologically normal colorectal epithelium and to clarify the correlations among those molecular events and clinicopathologic features.

METHODS

We conducted a prospective observation study on 51 colorectal cancer patients. Preoperative blood and microdissected histologically normal colorectal epithelium and neoplastic tissues were collected. Microsatellite analyses with seven microsatellite loci were performed to examine the genetic potential of individual tumors and histologically normal colorectal epithelium.

RESULTS

In the sporadic colorectal cancer group, p53 LOH in the neoplastic epithelium had a significant correlation with the maximum tumor diameter and the preoperative serum cancer antigen 19-9 level, but not with the depth of invasion of the primary tumor. Among the patients who had p53 LOH in the histologically normal colorectal epithelium, four additional tumors were discovered within 30 months after curative surgery. For those patients, microsatellite alterations in normal colorectal epithelium were more sensitive than tumor markers.

CONCLUSIONS

For accurate LOH analysis, nonmalignant lymphocytes from blood should be used as the appropriate normal DNA sample. Focusing on the identification of high-risk patients for microsatellite alterations in histologically normal colorectal epithelium can be a useful indicator of subsequent metachronous tumor development after colorectal surgery. For accurate LOH analysis, nonmalignant lymphocytes from blood should be used as the appropriate normal DNA sample. Focusing on the identification of high-risk patients for microsatellite alterations in histologically normal colorectal epithelium can be a useful indicator of subsequent metachronous tumor development after colorectal surgery.

Microsatellite analysis of fecal DNA for colorectal cancer detection

BACKGROUND AND OBJECTIVES

The advent of noninvasive methods of testing for colorectal cancer that have a high level of specificity and sensitivity is eagerly awaited.

METHODS

Thirty patients with sporadic colorectal cancer and 11 patients with hereditary nonpolyposis colon cancer (HNPCC) enrolled in this study. We analyzed the loss of heterozygosity (LOH) in matched genomic DNA extracted from blood and surgical specimens (tumor and tumor-free colonic mucosa), and the corresponding oral rinse and stool specimens using seven microsatellite loci (APC, p53, DCC, hMLH1, D9S162, D9S171, and IFNA). To reduce the normal colonocyte DNA contamination of the stool samples, we compared three different methods for fecal genomic DNA extraction. As normal controls, we analyzed the LOH using the oral rinse and stool samples from 15 individuals without cancer.

RESULTS

The LOH determined from the oral rinse and the stool samples matched those determined from the blood and the neoplastic tissue. All patients with HNPCC had microsatellite alterations at hMLH-1 in tumor DNA and corresponding fecal DNA. There were significant differences in the frequency of p53-LOH and D9S171-LOH between the group with sporadic disease and those with HNSCC (P = 0.0031 and 0.0294, respectively). Two cases with D9S162-LOH were detected in individuals without cancer. For the patients with sporadic disease, using p53 and adenomatous polyposis coli (APC), the sensitivity of the fecal DNA analysis was 96.7% (95% CI, 83-100) with a specificity of 100%.

CONCLUSION

We demonstrate that LOH analysis using oral rinse and stool samples may be a suitable screening tool for colorectal cancer.

Emerging molecular markers of cancer

Alterations in gene sequences, expression levels and protein structure or function have been associated with every type of cancer. These 'molecular markers' can be useful in detecting cancer, determining prognosis and monitoring disease progression or therapeutic response. But what is the best way to identify molecular markers and can they be easily incorporated into the clinical setting?

Advances ofcapillary electrophoresis in clinical and forensic analysis (1999-2000)

In this paper, capillary electrophoresis in clinical and forensic analysis is reviewed on the basis of the literature of 1999, 2000 and the first papers in 2001. An overview of progress relevant examples for each major field of application, namely (i) analysis of drug seizures, explosives residues, gunshot residues and inks, (ii) monitoring of drugs, endogenous small molecules and ions in biofluids and tissues, (iii) general screening for serum proteins and analysis of specific proteins (carbohydrate deficient transferrin, alpha1-antitrypsin, lipoproteins and hemoglobins) in biological fluids, and (iv) analysis of nucleic acids and oligonucleotides in biological samples, including oligonucleotide therapeutics, are presented.

DNA probes using fluorescence resonance energy transfer (FRET): designs and applications

Fluorescence resonance energy transfer (FRET) is widely used in biomedical research as a reporter method. Oligonucleotides with a DNA backbone and one or several chromophore tags have found multiple applications as FRET probes. They are especially advantageous for the real-time monitoring of biochemical reactions and in vivo studies. This paper reviews the design and applications of various DNA-based probes that use FRET The approaches used in the design of new DNA FRET probes are discussed.

High-performance genetic analysis using microfabricated capillary array electrophoresis microplates

This review focuses on some recent advances in realizing microfabricated capillary array electrophoresis (microCAE). In particular, the development of a novel rotary scanning confocal fluorescence detector has facilitated the high-speed collection of sequencing and genotyping data from radially formatted microCAE devices. The concomitant development of a convenient energy-transfer cassette labeling chemistry allows sensitive multicolor labeling of any DNA genotyping or sequencing analyte. High-performance hereditary haemochromatosis and short tandem repeat genotyping assays are demonstrated on these devices along with rapid mitochondrial DNA sequence polymorphism analysis. Progress in supporting technology such as robotic fluid dispensing and batched data analysis is also presented. The ultimate goal is to develop a parallel analysis platform capable of integrated sample preparation and automated electrophoretic analysis with a throughput 10-100 times that of current technology.

Genotyping Energy-Transfer-Cassette-labeled Short-Tandem-Repeat Amplicons with Capillary Array Electrophoresis Microchannel Plates

Background: Genetic analysis of microsatellite DNA is a powerful tool used in linkage analysis, gene mapping, and clinical diagnosis. To address the expanding needs of studies of short tandem repeats (STRs), we demonstrated high-performance STR analysis on a high-throughput microchannel plate-based platform.

Methods: Energy-transfer-cassette-labeled STR amplicons were separated and typed on a microfabricated 96-channel radial capillary array electrophoresis (CAE) microchannel plate system. Four-color detection was accomplished with a laser-excited confocal fluorescence rotary scanner.

Results: Multiplex STR analysis with single base-pair resolution was demonstrated on denaturing polyacrylamide gel media. The high-throughput multiplex capabilities of this genetic analysis platform were demonstrated by the simultaneous separation of STR amplicons representing 122 samples in ninety-six 5.5-cm-long channels in &lt;8 min. Sizing values obtained for these amplicons on the CAE microchannel plate were comparable to those measured on a conventional commercial CAE instrument and exhibit &lt;1% sizing variance.

Conclusions: Energy-transfer-cassette labeling and microfabricated CAE microchannel plates allow high-performance multiplex STR analyses.

Energy transfer cassettes for facile labeling of sequencing and PCR primers

Fluorescence energy transfer (ET) primers and terminators are the reagents of choice for multiplex DNA sequencing and analysis. We present here the design, synthesis and evaluation of a four-color set of ET cassettes, fluorescent labeling reagents that can be quantitatively coupled to a thiol-activated target through a disulfide exchange reaction. The ET cassette consists of a sugar-phosphate spacer with a FAM donor at the 3'-end, an acceptor linked to a modified T-base at the 5'-end of the spacer and a mixed disulfide for coupling to a thiol at the 5'-end. The acceptor dye emission intensities of ET labeled primers produced in this manner are comparable to commercial ET primers. The utility of our ET cassette-labeled primers is demonstrated by performing four-color capillary electrophoresis sequencing with the M13(-21)forward primer and by generating and analyzing a set of single-nucleotide-polymorphism-specific PCR amplicons.

High-performance multiplex SNP analysis of three hemochromatosis-related mutations with capillary array electrophoresis microplates

An assay is described for high-throughput single nucleotide polymorphism (SNP) genotyping on a microfabricated capillary array electrophoresis (CAE) microchip. The assay targets the three common variants at the HFE locus associated with the genetic disease hereditary hemochromatosis (HHC). The assay employs allele-specific PCR (ASPCR) for the C282Y (845g->a), H63D (187c->g), and S65C (193a->t) variants using fluorescently-labeled energy-transfer (ET) allele-specific primers. Using a 96-channel radial CAE microplate, the labeled ASPCR products generated from 96 samples in a reference Caucasian population are simultaneously separated with single-base-pair resolution and genotyped in under 10 min. Detection is accomplished with a laser-excited rotary four-color fluorescence scanner. The allele-specific amplicons are differentiated on the basis of both their size and the color of the label emission. This study is the first demonstration of the combined use of ASPCR with ET primers and microfabricated radial CAE microplates to perform multiplex SNP analyses in a clinically relevant population.