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Organ-specific molecular classification of primary lung, colon, and ovarian adenocarcinomas using gene expression profiles.

Molecular classification of tumors based on their gene expression profiles promises to significantly refine diagnosis and management of cancer patients. The establishment of organ-specific gene expression patterns represents a crucial first step in the clinical application of the molecular approach. Here, we report on the gene expression profiles of 154 primary adenocarcinomas of the lung, colon, and ovary. Using high-density oligonucleotide arrays with 7129 gene probe sets, comprehensive gene expression profiles of 57 lung, 51 colon, and 46 ovary adenocarcinomas were generated and subjected to principle component analysis and to a cross-validated prediction analysis using nearest neighbor classification. These statistical analyses resulted in the classification of 152 of 154 of the adenocarcinomas in an organ-specific manner and identified genes expressed in a putative tissue-specific manner for each tumor type. Furthermore, two tumors were identified, one in the colon group and another in the ovarian group, that did not conform to their respective organ-specific cohorts. Investigation of these outlier tumors by immunohistochemical profiling revealed the ovarian tumor was consistent with a metastatic adenocarcinoma of colonic origin and the colonic tumor was a pleomorphic mesenchymal tumor, probably a leiomyosarcoma, rather than an epithelial tumor. Our results demonstrate the ability of gene expression profiles to classify tumors and suggest that determination of organ-specific gene expression profiles will play a significant role in a wide variety of clinical settings, including molecular diagnosis and classification.

Adenocarcinoma↗

Molecular flexibility profiling using NMR spectroscopy.

Molecular flexibility is a factor that is not extensively studied in most pharmaceutical research efforts. When it is, the level of effort is high involving the preparation of detailed models supported by either molecular dynamics simulations and/or Nuclear Magnetic Resonance data. While these studies are both powerful and illuminating, they cannot be routinely applied in a drug discovery setting as they are time and expertise intensive. Yet there seems to be little doubt that at least in some cases, molecular flexibility plays a key role in complex formation. A simple, rapid and generally applicable flexibility profiling protocol was applied to two model systems and data describing the internal mobility of carbon atoms were obtained. The protocol utilizes the Model Free approach and NMR data to characterize the internal molecular dynamics of these compounds. The first model system consisted of fluorene and diphenylmethane where the anticipated flexibility trends were observed in the data providing a link between chemical intuition and the experimental results. Data on a second model system, which consisted of two Paclitaxel analogs, showed predictable patterns including dynamical phenyl and methyl groups and a relatively immobile taxane core. Subtle differences in the internal dynamics within the taxane core suggest that it cannot be considered as a rigid structure. Key advantages of using this approach are that no prior knowledge or supposition of dynamical features is required, the protocol can be carried out in most medicinal chemistry laboratories and the data obtained provide a common, empirically derived reference point to discuss the effects of molecular flexibility on activity.

Benzhydryl Compounds↗

Gene expression profiling identifies molecular subgroups among nodal peripheral T-cell lymphomas.

The classification of peripheral T-cell lymphomas (PTCL) is still a matter of debate. To establish a molecular classification of PTCL, we analysed 59 primary nodal T-cell lymphomas using cDNA microarrays, including 56 PTCL and three T-lymphoblastic lymphoma (T-LBL). The expression profiles could discriminate angioimmunoblastic lymphoma, anaplastic large-cell lymphoma and T-LBL. In contrast, cases belonging to the broad category of 'PTCL, unspecified' (PTCL-U) did not share a single molecular profile. Using a multiclass predictor, we could separate PTCL-U into three molecular subgroups called U1, U2 and U3. The U1 gene expression signature included genes known to be associated with poor outcome in other tumors, such as CCND2. The U2 subgroup was associated with overexpression of genes involved in T-cell activation and apoptosis, including NFKB1 and BCL-2. The U3 subgroup was mainly defined by overexpression of genes involved in the IFN/JAK/STAT pathway. It comprised a majority of histiocyte-rich PTCL samples. Gene Ontology annotations revealed different functional profile for each subgroup. These results suggest the existence of distinct subtypes of PTCL-U with specific molecular profiles, and thus provide a basis to improve their classification and to develop new therapeutic targets.

Gene Expression Profiling↗

Protein classification using comparative molecular interaction profile analysis system.

We recently introduced a new molecular description factor, interaction profile Factor (IPF) that is useful for evaluating molecular interactions. IPF is a data set of interaction energies calculated by the Comparative Molecular Interaction Profile Analysis system (CoMIPA). CoMIPA utilizes AutoDock 3.0 docking program, and the system has shown to be a powerful tool in clustering the interacting properties between small molecules and proteins. In this report, we describe the application of CoMIPA for protein clustering. A sample set of 15 proteins that share less than 20% homology and have no common functional motifs in primary structure were chosen. Using CoMIPA, we were able to cluster proteins that bound to the same small molecule. Other structural homology-based clustering programs such as PSI-BLAST or PFAM were unable to achieve the same classification. The results are striking because it is difficult to find any common features in the active sites of these proteins that share the same ligand. CoMIPA adds new dimensions for protein classification and has the potential to be a helpful tool in predicting and analyzing molecular interactions.

Algorithms↗

[Development of tissue microarray technology (TMA) for immunohistochemical study of molecular expression profiling in prostate cancer (part 1)].

Tissue microarray technology (TMA) is nowadays considered as a powerful tool for the high-throughput analysis of molecular expression pattern of cancer. In this manuscript we show the experience of both groups in the design and building of a TMA for the study of protein expression pattern of prostatecancer as well as a summary of the technical points to analyze the results obtained with this technology. Today, different data generated by the immunostained tissues are studied to achieve a molecular profile in different clinical scenarios.

Equipment Design↗

Molecular genetic profiling of Gleason grade 4/5 prostate cancers compared to benign prostatic hyperplasia.

PURPOSE: Because Gleason grade 4/5 cancer is the primary cause of failure to cure prostate cancer, we examined the molecular profiles of this high grade cancer in search of potentially new therapeutic interventions as well as better serum markers than prostate specific antigen. MATERIALS AND METHODS: We compared the gene expressions in fresh frozen tissues from 9 men with Gleason grade 4/5 cancer to 8 men with benign prostatic hyperplasia (BPH) treated with radical retropubic prostatectomy. Labeled complementary RNA from each of the 17 tissues was applied to HuGeneFL probe arrays representing approximately 6,800 genes (Affymetrix, Inc., Santa Clara, California). After removing all genes undetectable in BPH and grade 4/5 cancers, and transforming the data into a parametric distribution, we chose only those up and down-regulated genes with a p difference in fluorescence between grade 4/5 cancer and BPH of p <0.0005. This value reduced the data set to 40 up-regulated and 111 down-regulated genes. We then eliminated all genes that were not expressed in all 8 BPH and 9 grade 4/5 tissues, which produced a final set of 86 genes, of which 22 were up-regulated and 64 were down-regulated. RESULTS: Cluster analysis cleanly separated men with grade 4/5 cancers from those with BPH. Only 17 of the 86 candidate genes (20%) were known to be prostate cancer related and 42 (49%) were related to other cancers. The most up-regulated gene is Hepsin, a trypsin-like serine protease with its enzyme catalytic domain oriented extracellularly. Prostate specific membrane antigen is the second most up-regulated gene (all other reports on prostate specific membrane antigen have been at the protein level). The genes for prostate specific antigen (hK3) and human glandular kallikrein2 (hK2) showed equivalent expression levels 10 times the average of other genes. Complete lists of all 22 up-regulated genes and 64 down-regulated genes, together with their locus on the chromosome, are presented in rank order. CONCLUSIONS: We characterize for the first time 64 down-regulated and 22 up-regulated genes in Gleason grade 4/5 cancer, using the gene profile from BPH as control tissue. A number of interesting new genes, previously undescribed in prostate cancer, are presented as possibilities for further study.

Aged↗

Eritadenine-induced alterations of plasma lipoprotein lipid concentrations and phosphatidylcholine molecular species profile in rats fed cholesterol-free and cholesterol-enriched diets.

The effects of dietary eritadenine on the concentration of plasma lipoprotein lipids and the molecular species profile of plasma lipoprotein phosphatidylcholine (PC) were investigated in rats fed cholesterol-free and cholesterol-enriched diets to obtain insights into the relationship between the changes in PC molecular species profile and the hypocholesterolemic action of eritadenine. The effect of eritadenine on the secretion rate of very low density lipoprotein (VLDL) from the liver was also estimated. Rats were fed the control or eritadenine-supplemented (50 mg/kg) diets with or without exogenous cholesterol for 14 d. Eritadenine supplementation significantly decreased the cholesterol of major plasma lipoproteins, high density lipoprotein and VLDL, in rats fed cholesterol-free and cholesterol-enriched diets, respectively. The ratio of PC to phosphatidylethanolamine, delta6-desaturase activity, and the ratio of arachidonic acid to linoleic acid in liver microsomes were markedly decreased by eritadenine irrespective of the presence or absence of exogenous cholesterol. Dietary eritadenine increased the proportion of 16:0-18:2 molecular species with a decrease in 18:0-20:4 in plasma lipoprotein PC in both rats fed cholesterol-free and cholesterol-enriched diets. Eritadenine did not depress the secretion rate of VLDL in rats fed a cholesterol-free diet containing a high level of choline. The results indicate that dietary eritadenine elicits its hypocholesterolemic action with modulations of the fatty acid and molecular species profiles of PC irrespective of the presence or absence of exogenous cholesterol. The eritadenine-induced alteration of PC molecular species profile is discussed in relation to the hypocholesterolemic action of eritadenine.

Adenine↗

Natural populations of chickpea rhizobia evaluated by antibiotic resistance profiles and molecular methods.

The aims of this study were to investigate the hypothesis that intrinsic antibiotic resistance (IAR) profiles of chickpea rhizobia are correlated with the isolates site of origin, and to compare the discriminating power of IAR profiles with molecular approaches in rhizobial strain identification and differentiation. Rhizobial diversity from five Portuguese soils was assessed by IAR profiles and molecular methods [16S rDNA restriction fragment length polymorphism (RFLP) analysis, direct amplified polymorphic DNA (DAPD) fingerprinting, and SDS-PAGE analysis of protein profiles]. For each analysis, a dendrogram was generated using the software BioNumerics. All three molecular methods generated analogous clustering of the isolates, supporting previous results on 16S rDNA sequence-based phylogeny. Clusters obtained with IAR profile are similar to the species groups generated with the molecular methods used. IAR groups do not correlate significantly with the geographic origin of the isolates. These results may indicate a chromosomal location of antibiotic resistance genes, and suggest that IAR is species related. DAPD and IAR profiles proved to be the most discriminating approaches in strain differentiation and can be used as fast methods to screen diversity in new isolates.

Anti-Bacterial Agents↗

[The molecular action profile of intravenous anesthetics].

A close look at the molecular interactions of intravenous anaesthetics reveals a complex and non-uniform picture. A multitude of membrane structures are affected by the individual anaesthetic compounds, although with specific differential profiles of molecular action for the different groups of anaesthetic substances. This is consistent with the hypothesis of a multi-mechanistic mode of action, where anaesthesia results from the superposition and integration of several anaesthetic actions on the molecular level. This overall concept is illustrated by using the well characterised voltage-activated human brain sodium channel protein and its interactions with various intravenous anaesthetics as an example for other membrane proteins. Using the novel lipid bilayer "voltage-clamp" technique, single sodium channels were incorporated into artificial lipid bilayers and their single channel properties studied. Compared to controls, all studied anaesthetics (propofol, pentobarbital, ketamine, midazolam) interacted in a dose-dependent manner with two key sodium channel functions: 1. reduction of the voltage-independent fractional channel open-time and 2. interaction with the voltage-dependent steady-state activation process. Only propofol and pentobarbital demonstrated these effects at clinically relevant concentrations; hence, the sodium channel might serve as a molecular site of action for these substances only. Differences between clinical anaesthetics and their clinical actions may thus correlate with differential molecular sites and modes of action.

Anesthesia, Intravenous↗

Effect of human milk fortifier on the immunodetection and molecular mass profile of transforming growth factor-alpha.

OBJECTIVE: To determine if the addition of human milk fortifier (HMF) affects the distribution, immunoreactivity, or molecular mass profile of transforming growth factor-alpha (TGF-alpha) within the compartments of human milk. METHODS: Fifteen milk samples were obtained. Each sample was divided into two aliquots; a powdered HMF was added to the first aliquot. TGF-alpha concentration was measured via radioimmunoassay in whole milk and its aqueous and fat fractions +/- HMF. TGF-alpha molecular mass profiles of the samples (v/v) were measured via Western blotting. RESULTS: TGF-alpha concentration (mean +/- SD) in fortified whole milk (15.7 +/- 7.1 pg/100 microl) vs. nonfortified whole milk (14.8 +/- 8.0 pg/100 microl) and in the aqueous fraction of fortified (14.0 +/- 2.7 pg/100 microl) vs. nonfortified (14.0 +/- 3.5 pg/100 microl) did not differ statistically. There was, however, a marked decrease in the concentration of TGF-alpha in the fat fraction of fortified (30.6 +/- 2.8 pg/100 microl) vs. nonfortified (98.0 +/- 6.9 pg/100 microl) milk samples. Western blot for TGF-alpha in whole milk and its separated fractions revealed characteristic bands at 6.5, 12-16, 22, 26-30 and 46 kD. HMF alone and HMF with sodium taurocholate had a prominent band at 18 kD and fainter bands at 6.5, 26-30, and 46 kD. While whole and aqueous milk samples with HMF also consistently showed the 18-kD band, in 8/15 fat fraction samples with HMF the 18-kD band was nondetectable and was only faintly detectable in the remaining 7/15 samples. CONCLUSIONS: It appears that HMF differentially alters the biochemical profile of human milk with regard to TGF-alpha concentration and molecular mass profile. What effect this alteration in human milk biochemistry has on neonatal gut function remains unknown.

Animals↗

The contributions of biosynthesis and acyl chain remodelling to the molecular species profile of phosphatidylcholine in yeast.

Phosphatidylcholine (PC) is a very abundant membrane lipid in most eukaryotes, including yeast. The molecular species profile of PC, i.e. the ensemble of PC molecules with acyl chains differing in number of carbon atoms and double bonds, is important for membrane function. Pathways of PC synthesis and turnover maintain PC homoeostasis and determine the molecular species profile of PC. Studies addressing the processes involved in establishing the molecular species composition of PC in yeast using stable isotope labelling combined with detection by MS are reviewed.

Phosphatidylcholines↗

Molecular dynamics of transient oil flows in nanopores. II. Density profiles and molecular structure for decane in carbon nanotubes.

We report molecular dynamics simulations of nanotubes imbibing decane at an oil/vapor interface at 300 K. We find that the smallest (7,7) nanotubes imbibe extremely rapidly (< or =800 ms), with the imbibition speed slowing as the tube's radius increases. The density profiles of the imbibing fluid in the pores are analyzed as a function of time. We find that the imbibing liquid is well described by the advection-diffusion equation and present expressions for the density profiles (in x and t) of the imbibing fluid as a function of the adsorption energy and surface friction of the pore. In addition we have analyzed the molecular structure of the imbibed fluid in nanotubes and describe how molecular conformations change with nanotube radius and position in the pore. We are therefore able to provide a complete description of the imbibition of a wetting fluid, decane, for a wide range of nanopores.

Journal Article↗

RNA aptamer evaluation using comparative molecular interaction profile analysis system.

In this paper, we introduce a system named Comparative Molecular Interaction Profile Analysis system (CoMIPA) that utilizes virtual docking study for comprehensive analysis of molecular interactions. Research of RNA aptamer is very useful to creation of functional molecules, because RNA aptamer is excellent in binding selectivity and the stability of structure. By using 3-bases RNA fragment, the system can use computational molecular docking results to help for RNA aptamer screening. We believe that the system has the potential to be a useful for RNA aptamer design.

Binding Sites↗

Comparison of the hydrolytic degradation and deformation properties of a PLLA-lauric acid based family of biomaterials.

Addition of lauric acid to PLLA results in a significantly increased rate of hydrolytic degradation, with the time-to-loss of tensile strength directly related to the concentration of lauric acid. In this study, the hydrolytic degradation profiles of four materials were studied: amorphous PLLA, amorphous PLLA containing 1.8 wt % lauric acid, amorphous PLLA containing 4.5 wt % lauric acid, and pre-crystallized PLLA containing 1.8 wt % lauric acid. Hydrolytic degradation was monitored through mass profiles, molecular weight profiles, crystallinity and the development of mechanical properties and deformation mechanisms (through simultaneous small-angle X-ray scattering and tensile testing), and a "phase diagram" of properties suggested. The key factor in determining the development of properties was found to be the time at which crystallization occurred in relation to the loss of molecular weight, with the two factors most affecting this being the lauric acid content and the pre-degradation annealing treatment.

Biocompatible Materials↗

Molecular prognostic factors in diffuse large B-cell lymphoma.

The treatment of patients with diffuse large B-cell lymphoma (DLBCL) has been guided traditionally by clinical parameters such as the Ann Arbor Staging Classification for Hodgkin's disease. Although the International Prognostic Index (IPI) represents the most widely accepted prognostic model, there is still a marked variability in outcome within identical IPI subgroups, reflecting the heterogeneity of this malignancy. Use of DNA microarray, real-time reverse transcription polymerase chain reaction, and tissue array immunohistochemistry methodologies makes the development of new classifications possible based on molecular profiling. The molecular classification of DLBCL may lead to the grouping of specific disease entities sharing similar biologic features, clinical behavior, and outcome. Once tested and validated, this new generation of prognostic models should become an integral part of the daily practice, providing valuable additional information to the currently existing clinically based predictive models. To accomplish these goals and to be in a position in which existing or new prognostic models can be easily tested and validated, there is a strong need to collect frozen and paraffin-embedded material that can be used for RNA extraction and construction of tissue arrays, respectively. Such materials should be gathered as an integral part of any planned study.

Biomarkers, Tumor↗

[Cancer register for cervix carcinoma--useful and necessary?].

During the last two decades, cancer research has shifted from using cell lines and animal models to using methods and models that use human tissues from defined tumors. DNA and RNA can be analysed from fresh tissue from samples obtained at surgery, biopsy, cytologies or necropsy as well as from paraffin-embedded material. Archival material has several advantages: not only it is from individuals for whom disease process has been documented, but also data may available about the outcome as well as the response to treatment. Material available from well-controlled clinical trails would enable a wide range of hypotheses to be tested. Laser microdissection allows to sample cellular material from histopathologic well documented areas of the tumor, including special differentiated areas. It is necessary to establish tumor registries, especially in gynecologic oncology to get material from well described tumors for molecular profiling, the molecular analysis of clonality in tumors and malignant progression. At the Leipzig University a cervical tumor registry has been established in March 1979. Until the end of December of the year 2000 1,030 cases of surgically treated cervical cancer from stage pT1b1 up to pT2b including paraffin blocks and original histologic slides were collected. First evaluation up to the end of 1996 (n = 919) has shown, that 27.2% of the patients represented with histological proven pelvic lymph node metastases. The majority of cases were staged pT1b1 (52.1%), followed by stage pT2b (23.9%), pT1b2 (9.7%) and pT2a (9.5%). In 44 cases stage was not documented. In about 95.2% datas about the follow up of the patients were available. In conclusion, tumor registries are helpful in establishing and controlling uniform criteria for the accurate determination of prognostic factors and exact histopathologic evaluation can ideally be combined with new tools in molecular pathology, i.e. histopathology meets genomics.

DNA, Neoplasm↗

Molecular marker profiles predict locoregional control of head and neck squamous cell carcinoma in a randomized trial of continuous hyperfractionated accelerated radiotherapy.

PURPOSE: Identification of factors that assist prediction of tumor response to radiotherapy may aid in refining treatment strategies and improving outcome. Possible association of molecular marker expression profiles with locoregional control of head and neck squamous cell carcinoma was investigated in a randomized trial of conventional versus continuous hyperfractionated accelerated radiotherapy (CHART). EXPERIMENTAL DESIGN: Tumor material was obtained from 402 patients. Immunohistochemistry was used to assess Ki-67, CD31, p53, Bcl-2, and cyclin D1 expression. A hierarchical clustering algorithm with a Bayesian information criterion was used to group tumors with similar marker expression; resulting expression profiles were then compared in terms of their difference in outcome after CHART and conventionally fractionated radiotherapy. RESULTS: Molecular marker profile was an independent prognostic factor for locoregional control. This was confirmed in multivariate analysis, including clinical variables such as tumor and nodal status, primary site, histological grade, age, and gender (P < 0.001 and P = 0.006 for local and nodal relapse, respectively). In particular, Bcl-2-positive tumors responded significantly better than average in both arms of the trial. Tumors negative for p53- and Bcl-2, with high and randomly patterned Ki-67 expression, responded worse than average with no benefit from CHART. Tumors with similarly negative p53 and Bcl-2, but low Ki-67 staining, with an organized pattern, benefit significantly from CHART schedule. CONCLUSIONS: This study demonstrates the potential of molecular profiles to predict radiotherapy response of head and neck squamous cell carcinoma and for treatment stratification. Distinct expression profiles correlate with three distinct clinical phenotypes, including good locoregional control, poor locoregional control, and an outcome strongly dependent upon fractionation schedule.

Algorithms↗

Molecular depth profiling of multilayer polymer films using time-of-flight secondary ion mass spectrometry.

The low penetration depth and high sputter rates obtained using polyatomic primary ions have facilitated their use for the molecular depth profiling of some spin-cast polymer films by secondary ion mass spectrometry (SIMS). In this study, dual-beam time-of-flight (TOF) SIMS (sputter ion, 5 keV SF(5)(+); analysis ion, 10 keV Ar(+)) was used to depth profile spin-cast multilayers of poly(methyl methacrylate) (PMMA), poly(2-hydroxyethyl methacrylate) (PHEMA), and trifluoroacetic anhydride-derivatized poly(2-hydroxyethyl methacrylate) (TFAA-PHEMA) on silicon substrates. Characteristic positive and negative secondary ions were monitored as a function of depth using SF(5)(+) primary ion doses necessary to sputter through the polymer layer and uncover the silicon substrate (>5 x10(14) ions/cm(2)). The sputter rates of the polymers in the multilayers were typically less than for corresponding single-layer films, and the order of the polymers in the multilayer affected the sputter rates of the polymers. Multilayer samples with PHEMA as the outermost layer resulted in lowered sputter rates for the underlying polymer layer due to increased ion-induced damage accumulation rates in PHEMA. Additionally, the presence of a PMMA or PHEMA overlayer significantly decreased the sputter rate of TFAA-PHEMA underlayers due to ion-induced damage accumulation in the overlayer. Typical interface widths between adjacent polymer layers were 10-15 nm for bilayer films and increased with depth to approximately 35 nm for the trilayer films. The increase in interface width and observations using optical microscopy showed the formation of sputter-induced surface roughness during the depth profiles of the trilayer polymer films. This study shows that polyatomic primary ions can be used for the molecular depth profiling of some multilayer polymer films and presents new opportunities for the analysis of thin organic films using TOF-SIMS.

Acetic Anhydrides↗