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Results for “Molecular Classification”

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At least 55 records · Page 3Linked to original sources
PubMed2006

Identification of gene expression signatures for molecular classification in human leukemia cells.

Although the methods by which leukemia is classified have been improved for effective therapies, leukemia patients occasionally exhibit diverse, sometimes unpredictable, responses to treatment. Consequently, these patients also evidence individually different clinical courses when administered with anti-leukemia drugs. In order to find new, more precise molecular markers for leukemia classification, we have analyzed the gene expression profiles from 65 diagnostic bone marrow specimens of adult patients with AML, ALL, CML or CLL by using high-throughput DNA microarrays harboring approximately 8,300 unique human genes or expression sequence tags. In the present study, we identified a group of leukemia-specific genes, which manifest gene expression profiles distinctly representative of normal bone marrow samples, as determined by a significance analysis of microarray (SAM) and GeneSpring 6.1 programs. We also determined the minimal number of genes showing a difference between acute and chronic leukemia patient groups. Furthermore, the unsupervised cluster analysis revealed a gene subset which can be used to distinguish between AML, ALL, CML and CLL patient groups, based on expression signatures. The expression levels of differentially regulated genes were verified via the principle component analysis (PCA). Our results may provide a novel set of molecular criteria for the classification of leukemia patients, and may also facilitate effects to discovery new targets, allowing for more effective treatment of leukemia patients.

Adolescent↗
PubMedDate not supplied

Beyond laminar fate: toward a molecular classification of cortical projection/pyramidal neurons.

Cortical projection neurons exhibit diverse morphological, physiological, and molecular phenotypes, but it is unknown how many distinct types exist. Many projection cell phenotypes are associated with laminar fate (radial position), but each layer may also contain multiple types of projection cells. We have investigated two hypotheses: (1) that different projection cell types exhibit characteristic molecular expression profiles and (2) that laminar fates are determined primarily by molecular phenotype. We found that several transcription factors were differentially expressed by projection neurons, even within the same layer: Otx1 and Er81, for example, were expressed by different neurons in layer 5. Retrograde tracing showed that Er81 was expressed in corticospinal and corticocortical neurons. In contrast, Otx1 has been detected only in corticobulbar neurons [Weimann et al., Neuron 1999;24:819-831]. Birthdating demonstrated that different molecularly defined types were produced sequentially, in overlapping waves. Cells adopted laminar fates characteristic of their molecular phenotypes, regardless of cell birthday. Molecular markers also revealed the locations of different projection cell types in the malformed cortex of reeler mice. These studies suggest that molecular profiles can be used advantageously for classifying cortical projection cells, for analyzing their neurogenesis and fate specification, and for evaluating cortical malformations.

Animals↗
PubMed2005

Molecular classification of doxazosin-induced alterations in the rat prostate using gene expression profiling.

We investigated molecular changes that occurred during chronic administration of doxazosin, an alpha1-adrenoceptor (AR) antagonist, using Affymetrix GeneChip analysis of gene expression. Rats were treated with doxazosin (4 mg/kg/day subcutaneously, supplemented with 4 mg/kg/day orally) for 12 weeks. Labeled cRNA was prepared and the subsequent hybridization to rat 230A arrays was performed. The alterations in gene expression levels of candidate genes identified by microarray analysis with potential biological relevance were verified by real-time reverse transcription polymerase chain reaction (RT-PCR) using SYBR Green I. Doxazosin treated rats had significantly heavier prostates compared to control rats. Microarray analysis revealed that chronic doxazosin treatment caused changes in the expression levels of 625 genes, of which 39 were related to cell death, necrosis, growth, proliferation and G-protein signalling pathways in the rat prostate. Furthermore, RT-PCR experiments, in accord with the microarray analysis, indicated that chronic doxazosin treatment caused an up-regulation in the mRNA expression level of clusterin, an antiapoptotic mediator, and epiregulin, a mitogen, in the ventral and dorsolateral prostate, respectively. These findings, that demonstrate chronic doxazosin administration causes significant changes in the expression of several hundred genes in the rat prostate, may provide insight into the long-term efficacy of alpha1-AR antagonists in the treatment of benign prostatic hyperplasia.

Administration, Oral↗
PubMed2003

Molecular classification of breast carcinomas using tissue microarrays.

The histopathologic classification of breast cancer stratifies tumors based on tumor grade, stage, and type. Despite an overall correlation with survival, this classification is poorly predictive and tumors with identical grade and stage can have markedly contrasting outcomes. Recently, breast carcinomas have been classified by their gene expression profiles on frozen material. The validation of such a classification on formalin-fixed paraffin-embedded tumor archives linked to clinical information in a high-throughput fashion would have a major impact on clinical practice. The authors tested the ability of tumor tissue microarrays (TMAs) to sub-classify breast cancers using a TMA containing 107 breast cancers. The pattern of expression of 13 different protein biomarkers was assessed by immunohistochemistry and the multidimensional data was analyzed using an unsupervised two-dimensional clustering algorithm. This revealed distinct tumor clusters which divided into two main groups correlating with tumor grade (P<0.001) and nodal status (P = 0.04). None of the protein biomarkers tested could individually identify these groups. The biological significance of this classification is supported by its similarity with one derived from gene expression microarray analysis. Thus, molecular profiling of breast cancer using a limited number of protein biomarkers in TMAs can sub-classify tumors into clinically and biologically relevant subgroups.

Adenocarcinoma↗
PubMed2006

Advances in molecular classification of renal neoplasms.

Kidney neoplasms are classified by light microscopy using the World Health Organization (WHO) system. The WHO system defines histopathologic tumor subtypes with distinct clinical behavior and underlying genetic mutations. In adults, the common malignant subtypes are variants of renal cell carcinoma (RCC). Histopathologic classification is critical for clinical management of RCC, but is becoming more complex with recognition of novel tumor subtypes, development of procedures yielding small diagnostic biopsies, and emergence of molecular therapies directed at tumor gene activity. Therefore, classification systems based on gene expression are likely to become essential for diagnosis, prognosis and treatment of kidney tumors. Recent DNA microarray studies have shown that clinically relevant renal tumor subtypes are characterized by distinct gene expression profiles, which are useful for discovery of novel diagnostic and prognostic biomarkers. In this review, we summarize the WHO classification system for renal tumors, general applications of microarray technology in cancer research, and specific microarray studies that have advanced knowledge of renal tumor diagnosis, prognosis, therapy and pathobiology.

Carcinoma, Renal Cell↗
PubMed1993

Molecular classification of hepatitis C virus.

Many sequences of hepatitis C virus (HCV) have been reported, but there has been no report about the evolutionary classification of HCV. The aim of this study is to classify the nucleotide sequences of HCV into appropriate genetical groups by molecular evolutionary methods. A number of nucleotide sequences of HCV were collected from all over the world. First, all HCV nucleotide sequences for each region were aligned to optimize homologies. Phylogenetic trees were then constructed for each region of HCV according to the number of the nucleotide substitutions. HCVs can be classified into two or three major groups in the trees of each regions. However, minor groups can be classified into two in that of 5' non-coding, four in that of Core, Env., E2/NS1, NS3 and NS4 region and six in that of NS5 region. However, the full sequences such as HCV-1, HCVH and HCV-J4, were always located in the same major and minor groups in that trees of all regions. These data indicated that HCVs can be classified into two or three major and six minor groups.

Base Sequence↗
PubMed2006

Molecular classification of Crohn's disease and ulcerative colitis patients using transcriptional profiles in peripheral blood mononuclear cells.

Ulcerative colitis (UC) and Crohn's disease (CD) are common inflammatory bowel diseases producing intestinal inflammation and tissue damage. Although emerging evidence suggests these diseases are distinct, approximately 10% of patients remain classified as indeterminate inflammatory bowel disease even after invasive colonoscopy intended for diagnosis. A molecular diagnostic assay using a clinically accessible tissue would greatly assist in the classification of these diseases. In the present study we assessed transcriptional profiles in peripheral blood mononuclear cells from 42 healthy individuals, 59 CD patients, and 26 UC patients by hybridization to microarrays interrogating more than 22,000 sequences. Supervised analysis identified a set of 12 genes that distinguished UC and CD patient samples with high accuracy. The alterations in transcript levels observed by microarray were verified by real-time polymerase chain reaction. The results suggest that a peripheral blood mononuclear cell-based gene expression signature can provide a molecular biomarker that can complement the standard diagnosis of UC and CD.

Adult↗
PubMed2005

Molecular classification of melanoma using real-time quantitative reverse transcriptase-polymerase chain reaction.

BACKGROUND: The early detection and characterization of metastatic melanoma are important for prognosis and management of the disease. Molecular methods are more sensitive in detecting occult lymph node metastases compared with standard histopathology and are reported to have utility in clinical diagnostics. METHODS: Using real-time quantitative reverse transcriptase-polymerase chain reaction ([q]RT-PCR), the authors examined 36 samples (30 melanomas, 4 benign nevi, and 2 reactive lymph nodes) for the expression of 20 melanoma-related genes that function in cell growth and differentiation (epidermal growth factor receptor [EGFR], WNT5A, BRAF, FOS, JUN, MATP, and TMP1), cell proliferation (KI-67, TOP2A, BUB1, BIRC5, and STK6), melanoma progression (CD63, MAGEA3, and GALGT), and melanin synthesis (TYR, MLANA, SILV, PAX3, and MITF). In addition, samples were tested for mutations in BRAF (exons 11 and 15) and NRAS (exons 2 and 3). RESULTS: Hierarchical clustering analysis of the expression data was able to distinguish between the melanoma and nonmelanoma samples and further stratified the melanoma samples into two groups differentiated by high expression of the genes involved in beta-catenin activation (EGFR and WNT5A) and the MAPK/ERK pathway (BRAF, FOS, and JUN). Eighteen of the 28 patients (64%) were found to have mutations in either exon 15 of BRAF (V599 substitution) or codon 61 of NRAS. The mutations were mutually exclusive and did not appear to be associated with the different expression subtypes. CONCLUSIONS: The results of the current study demonstrate that real-time qRT-PCR can be analyzed using hierarchical clustering to identify expression patterns that differentiate between melanomas and other tissue types. Using a supervised analysis of the data, the authors found that the best discriminators for molecularly distinguishing between melanoma, benign nevi, and lymph nodes were MLANA, CD63, and BUB1. These markers could have diagnostic utility for the detection of melanoma micrometastasis in sentinel lymph nodes.

Biomarkers, Tumor↗
PubMed2001

Towards a molecular classification of hematolymphoid neoplasms: where are we now? Where are we going?

Beginning with the discovery of the Philadelphia chromosome in 1960, our descriptions and definitions of hematological malignancies have been successively refined and revised to include morphological, immunophenotypic, and molecular genetic features. As hematopathologists, we now see beyond architectural and cytologic alterations and have, to some degree, become molecular morphologists. Indeed, our "view" of diseases now includes a rudimentary understanding of the molecular genetic abnormalities present in the cells we study under the microscope.

Hematologic Neoplasms↗
PubMed2001

Molecular classification of psoriasis disease-associated genes through pharmacogenomic expression profiling.

Psoriasis is recognized as the most common T cell-mediated inflammatory disease in humans. Genetic linkage to as many as six distinct disease loci has been established but the molecular etiology and genetics remain unknown. To begin to identify psoriasis disease-related genes and construct in vivo pathways of the inflammatory process, a genome-wide expression screen of multiple psoriasis patients was undertaken. A comprehensive list of 159 genes that define psoriasis in molecular terms was generated; numerous genes in this set mapped to six different disease-associated loci. To further interpret the functional role of this gene set in the disease process, a longitudinal pharmacogenomic study was initiated to understand how expression levels of these transcripts are altered following patient treatment with therapeutic agents that antagonize calcineurin or NF-KB pathways. Transcript levels for a subset of these 159 genes changed significantly in those patients who responded to therapy and many of the changes preceded clinical improvement. The disease-related gene map provides new insights into the pathogenesis of psoriasis, wound healing and cellular-immune reactions occurring in human skin as well as other T cell-mediated autoimmune diseases. In addition, it provides a set of candidate genes that may serve as novel therapeutic intervention points as well as surrogate and predictive markers of treatment outcome.

Adult↗
PubMed2000

Molecular classification of cutaneous malignant melanoma by gene expression profiling.

The most common human cancers are malignant neoplasms of the skin. Incidence of cutaneous melanoma is rising especially steeply, with minimal progress in non-surgical treatment of advanced disease. Despite significant effort to identify independent predictors of melanoma outcome, no accepted histopathological, molecular or immunohistochemical marker defines subsets of this neoplasm. Accordingly, though melanoma is thought to present with different 'taxonomic' forms, these are considered part of a continuous spectrum rather than discrete entities. Here we report the discovery of a subset of melanomas identified by mathematical analysis of gene expression in a series of samples. Remarkably, many genes underlying the classification of this subset are differentially regulated in invasive melanomas that form primitive tubular networks in vitro, a feature of some highly aggressive metastatic melanomas. Global transcript analysis can identify unrecognized subtypes of cutaneous melanoma and predict experimentally verifiable phenotypic characteristics that may be of importance to disease progression.

Adult↗
PubMed2004

Molecular classification of nemaline myopathies: "nontyping" specimens exhibit unique patterns of gene expression.

Nemaline myopathy (NM) is a slowly progressive or nonprogressive neuromuscular disorder caused by mutations in genes encoding skeletal muscle sarcomeric thin filament proteins. It is characterized by great heterogeneity at the clinical, histopathological, and genetic level. Although multiple molecular pathways are commonly affected in all NM patients, little is known about the molecular characteristics of muscles from patients in different NM subgroups. We have analyzed a group of global gene expression data sets for transcriptional patterns characteristic of particular nemaline myopathy classes. Differential expression between disease subgroups was primarily seen in mitochondrial-, structural-, and transcription-related genes. Multiple lines of evidence support the hypothesis that muscles from cases with "nontyping" NM, although clinically classified as typical NM, share a unique pathophysiological state and are characterized by distinct patterns of gene expression. Determination of the specific molecular differences in NM subgroups may eventually lead to improved prognostic determinations and treatment of these patients.

Base Sequence↗
PubMed2003

Plasmids in Corynebacterium glutamicum and their molecular classification by comparative genomics.

Endogenous plasmids and selectable resistance markers are a fundamental prerequisite for the development of efficient recombinant DNA techniques in industrial microorganisms. In this article, we therefore summarize the current knowledge about endogenous plasmids in amino acid-producing Corynebacterium glutamicum isolates. Screening studies identified a total of 24 different plasmids ranging in size from 2.4 to 95 kb. Although most of the C. glutamicum plasmids were cryptic, four plasmids carried resistance determinants against the antibiotics chloramphenicol, tetracycline, streptomycin-spectinomycin, and sulfonamides. Considerable information is now available on the molecular genetic organization of 12 completely sequenced plasmid genomes from C. glutamicum. The deduced mechanism of plasmid DNA replication and the degree of amino acid sequence similarity among replication initiator proteins was the basis for performing a classification of the plasmids into four distinct C. glutamicum plasmid families.

Base Sequence↗