What Ethanol metabolites as biological markers tell us about alcohol use

Alcohol and tobacco related disorders are the two leading and most expensive causes of illness in central Europe. In addition to self reports and questionnaires, biomarkers are of relevance in diagnosis and therapy of alcohol use disorders.Traditional biomarkers such as gamma glutamyl transpeptidase or mean corpuscualr volume are indirect biomarkers and are subject to influence of age, gender and non alcohol related diseases, among others.Direct ethanol metabolites such as ethyl glucuronide (EtG), ethyl sulphate (EtS) and phosphatidylethanol (PEth) are direct metabolites of ethanol, that are positive after intake of ethyl alcohol. They represent useful diagnostic tools for identifying alcohol use even more accurately than traditional biomarkers. Each of these drinking indicators remains positive in serum and urine for a characteristic time spectrum after the cessation of ethanol intake-EtG and EtS in urine up to 7 days, EtG in hair for months after ethanol has left the body. Applications include clinical routine use, emergency room settings, proof of abstinence in alcohol rehabilitation programs, driving under influence offenders, workplace testing, assessment of alcohol intake in the context of liver transplantation and fetal alcohol syndrome.

SURVIVAL PREDICTION FOR BRAIN TUMOR PATIENTS USING GENE EXPRESSION DATA

Brain tumor is one of the most aggressive types of cancer in humans, with an estimated median survival time of 12 months and only 4% of the patients surviving more than 5 years after disease diagnosis. Until recently, brain tumor prognosis has been based only on clinical information such as tumor grade and patient age, but there are reports indicating that molecular profiling of gliomas can reveal subgroups of patients with distinct survival rates. We hypothesize that coupling molecular profiling of brain tumors with clinical information might improve predictions of patient survival time and, consequently, better guide future treatment decisions. In order to evaluate this hypothesis, the general goal of this research is to build models for survival prediction of glioma patients using DNA molecular profiles (U133 Affymetrix gene expression microarrays) along with clinical information. First, a predictive Random Forest model is built for binary outcomes (i.e. short vs. long-term survival) and a small subset of genes whose expression values can be used to predict survival time is selected. Following, a new statistical methodology is developed for predicting time-to-death outcomes using Bayesian ensemble trees. Due to a large heterogeneity observed within prognostic classes obtained by the Random Forest model, prediction can be improved by relating time-to-death with gene expression profile directly. We propose a Bayesian ensemble model for survival prediction which is appropriate for high-dimensional data such as gene expression data. Our approach is based on the ensemble "sum-of-trees" model which is flexible to incorporate additive and interaction effects between genes. We specify a fully Bayesian hierarchical approach and illustrate our methodology for the CPH, Weibull, and AFT survival models. We overcome the lack of conjugacy using a latent variable formulation to model the covariate effects which decreases computation time for model fitting. Also, our proposed models provides a model-free way to select important predictive prognostic markers based on controlling false discovery rates. We compare the performance of our methods with baseline reference survival methods and apply our methodology to an unpublished data set of brain tumor survival times and gene expression data, selecting genes potentially related to the development of the disease under study. A closing discussion compares results obtained by Random Forest and Bayesian ensemble methods under the biological/clinical perspectives and highlights the statistical advantages and disadvantages of the new methodology in the context of DNA microarray data analysis.

Myoglobin expression in prostate cancer is correlated to androgen receptor expression and markers of tumor hypoxia.

Recent studies identified unexpected expression and transcriptional complexity of the hemoprotein myoglobin (MB) in human breast cancer but its role in prostate cancer is still unclear. Expression of MB was immunohistochemically analyzed in three independent cohorts of radical prostatectomy specimens (n = 409, n = 625, and n = 237). MB expression data were correlated with clinicopathological parameters and molecular parameters of androgen and hypoxia signaling. Expression levels of novel tumor-associated MB transcript variants and the VEGF gene as a hypoxia marker were analyzed using qRT-PCR. Fifty-three percent of the prostate cancer cases were MB positive and significantly correlated with androgen receptor (AR) expression (p < 0.001). The positive correlation with CAIX (p < 0.001) and FASN (p = 0.008) as well as the paralleled increased expression of the tumor-associated MB transcript variants and VEGF suggest that hypoxia participates in MB expression regulation. Analogous to breast cancer, MB expression in prostate cancer is associated with steroid hormone signaling and markers of hypoxia. Further studies must elucidate the novel functional roles of MB in human carcinomas, which probably extend beyond its classic intramuscular function in oxygen storage.

Molecular and pathogenetic aspects of tumor budding in colorectal cancer.

In recent years, tumor budding in colorectal cancer has gained much attention as an indicator of lymph node metastasis, distant metastatic disease, local recurrence, worse overall and disease-free survival, and as an independent prognostic factor. Tumor buds, defined as the presence of single tumor cells or small clusters of up to five tumor cells at the peritumoral invasive front (peritumoral buds) or within the main tumor body (intratumoral buds), are thought to represent the morphological correlate of cancer cells having undergone epithelial-mesenchymal transition (EMT), an important mechanism for the progression of epithelial cancers. In contrast to their undisputed prognostic power and potential to influence clinical management, our current understanding of the biological background of tumor buds is less established. Most studies examining tumor buds have attempted to recapitulate findings of mechanistic EMT studies using immunohistochemical markers. The aim of this review is to provide a comprehensive summary of studies examining protein expression profiles of tumor buds and to illustrate the molecular pathways and crosstalk involved in their formation and maintenance.

BIOLOGICAL AND BIOCHEMICAL CHARACTERIZATION OF MURINE-TUMOR SPECIFIC TRANSPLANTATION ANTIGENS (ISOTACHOPHORESIS, IMMUNOGENICITY)

Tumor-specific transplantation antigens (TSTA) are individually distinct neoantigens expressed on the cells of chemically-induced neoplasms. TSTA are operationally defined by immunization of syngeneic mice against challenge with viable tumor cells. Immunization with cell surface or extracted TSTA induces specific resistance to transplanted tumor cells. The biological and biochemical nature of TSTA was investigated in the 3-methylcholanthrene-induced fibrosarcomas of female C3H/HeJ mice, MCA-F and MCA-D. Tumor cell suspensions were extracted by treatment with 3M KCl or 2.5% butanol solutions and the TSTA was partially purified by preparative isoelectric focusing. The isoelectric pH of TSTA purified from 3M KCl extracts was 5.8-6.0, and from butanol extracts was 6.4-6.6. Whereas immunization with 10('5) and 10('6) irradiated tumor cells induces complete rejection of tumor cell challenge over a two-fold-log dose range, immunization with ug quantities within a one-fold-log dose range of extracted TSTA induces only partial resistance to tumor challenge. Reduced immunogenicity of extracted TSTA is hypothesized to result from immunization of mice with insufficiently purified TSTA preparations. The hypothesis predicts that immunization with highly purified TSTA, free from interfering substances, induces complete rejection of tumor challenge over a broad dose range. To test the hypothesis preparative isotachophoresis (pITP) was used to purify TSTA from electrofocused TSTA fractions. Significant purification was achieved, as immunization with 15 pg to 1.5 ug (5 logs) of pITP-purified TSTA extracted from the MCA-F, or with 1 pg to 10 ng (4 logs) of TSTA from the MCA-D tumor induced specific resistance to tumor challenge. Despite 50,000 fold purification of TSTA, immunization induced partial, not complete, rejection of transplanted tumor cells. This suggests a clear dissociation of the immunogenicity and purification of extracted TSTA, indicating that the induction of partial immunity to tumor challenge is an intrinsic property of extracted TSTA.^

CHARACTERIZATION OF DIFFERENTIATION AND PROGNOSTIC BIOMARKERS ON CD8+ TUMOR-INFILTRATING LYMPHOCYTES IN METASTATIC MELANOMA

CD8+ cytotoxic T lymphocytes (CTL) frequently infiltrate tumors, yet most melanoma patients fail to undergo tumor regression. We studied the differentiation of the CD8+ tumor-infiltrating lymphocytes (TIL) from 44 metastatic melanoma patients using known T-cell differentiation markers. We also compared CD8+ TIL against the T cells from matched melanoma patients’ peripheral blood. We discovered a novel subset of CD8+ TIL co-expressing early-differentiation markers, CD27, CD28, and a late/senescent CTL differentiation marker, CD57. This CD8+CD57+ TIL expressed a cytolytic enzyme, granzyme B (GB), yet did not express another cytolytic pore-forming molecule, perforin (Perf). In contrast, the CD8+CD57+ T cells in the periphery were CD27-CD28-, and GBHi and PerfHi. We found this TIL subset was not senescent and could be induced to proliferate and differentiate into CD27-CD57+, perforinHi, mature CTL. This further differentiation was arrested by TGF-β1, an immunosuppressive cytokine known to be produced by many different kinds of tumors. Therefore, we have identified a novel subset of incompletely differentiated CD8+ TIL that resembled those found in patients with uncontrolled chronic viral infections. In a related study, we explored prognostic biomarkers in metastatic melanoma patients treated in a Phase II Adoptive Cell Therapy (ACT) trial, in which autologous TIL were expanded ex vivo with IL-2 and infused into lymphodepleted patients. We unexpectedly found a significant positive clinical association with the infused CD8+ TIL expressing B- and T- lymphocyte attentuator (BTLA), an inhibitory T-cell receptor. We found that CD8+BTLA+ TIL had a superior proliferative response to IL-2, and were more capable of autocrine IL-2 production in response to TCR stimulation compared to the CD8+BTLA- TIL. The CD8+BTLA+ TIL were less differentiated and resembled the incompletely differentiated CD8+ TIL described above. In contrast, CD8+BTLA- TIL were poorly proliferative, expressed CD45RA and killer-cell immunoglobulin-like receptors (KIRs), and exhibited a gene expression signature of T cell deletion. Surprisingly, ligation of BTLA by its cognate receptor, HVEM, enhanced the survival of CD8+BTLA+ TIL by activating Akt/PKB. Our studies provide a comprehensive characterization of CD8+ TIL differentiation in melanoma, and revealed BTLA as a novel T-cell differentiation marker along with its role in promoting T cell survival.

The “Spot 14” gene resides on the telomeric end of the 11q13 amplicon and is expressed in lipogenic breast cancers: Implications for control of tumor metabolism

Enhanced long chain fatty acid synthesis may occur in breast cancer, where it is necessary for tumor growth and predicts a poor prognosis. “Spot 14” (S14) is a carbohydrate- and thyroid hormone-inducible nuclear protein specific to liver, adipose, and lactating mammary tissues that functions to activate genes encoding the enzymes of fatty acid synthesis. Amplification of chromosome region 11q13, where the S14 gene (THRSP) resides, also predicts a poor prognosis in breast tumors. We localized the S14 gene between markers D11S906 and D11S937, at the telomeric end of the amplified region at 11q13, and found that it was amplified and expressed in breast cancer-derived cell lines. Moreover, concordant expression of S14 and a key lipogenic enzyme (acetyl-CoA carboxylase) in a panel of primary breast cancer specimens strongly supported a role for S14 as a determinant of tumor lipid metabolism. S14 expression provides a pathophysiological link between two prognostic indicators in breast cancer: enhanced lipogenesis and 11q13 amplification.

Mouse mammary tumor virus/v-Ha-ras transgene-induced mammary tumors exhibit strain-specific allelic loss on mouse chromosome 4

Hybrid mice carrying oncogenic transgenes afford powerful systems for investigating loss of heterozygosity (LOH) in tumors. Here, we apply this approach to a neoplasm of key importance in human medicine: mammary carcinoma. We performed a whole genome search for LOH using the mouse mammary tumor virus/v-Ha-ras mammary carcinoma model in female (FVB/N × Mus musculus castaneus)F1 mice. Mammary tumors developed as expected, as well as a few tumors of a second type (uterine leiomyosarcoma) not previously associated with this transgene. Genotyping of 94 anatomically independent tumors revealed high-frequency LOH (≈38%) for markers on chromosome 4. A marked allelic bias was observed, with M. musculus castaneus alleles almost exclusively being lost. No evidence of genomic imprinting effects was noted. These data point to the presence of a tumor suppressor gene(s) on mouse chromosome 4 involved in mammary carcinogenesis induced by mutant H-ras expression, and for which a significant functional difference may exist between the M. musculus castaneus and FVB/N alleles. Provisional subchromosomal localization of this gene, designated Loh-3, can be made to a distal segment having syntenic correspondence to human chromosome 1p; LOH in this latter region is observed in several human malignancies, including breast cancers. Evidence was also obtained for a possible second locus associated with LOH with less marked allele bias on proximal chromosome 4.

Wild-type p53 triggers a rapid senescence program in human tumor cells lacking functional p53

The p53 tumor suppressor gene has been shown to play an important role in determining cell fate. Overexpression of wild-type p53 in tumor cells has been shown to lead to growth arrest or apoptosis. Previous studies in fibroblasts have provided indirect evidence for a link between p53 and senescence. Here we show, using an inducible p53 expression system, that wild-type p53 overexpression in EJ bladder carcinoma cells, which have lost functional p53, triggers the rapid onset of G1 and G2/M growth arrest associated with p21 up-regulation and repression of mitotic cyclins (cyclin A and B) and cdc2. Growth arrest in response to p53 induction became irreversible within 48-72 h, with cells exhibiting morphological features as well as specific biochemical and ultrastructural markers of the senescent phenotype. These findings provide direct evidence that p53 overexpression can activate the rapid onset of senescence in tumor cells.

A subset of skin tumor modifier loci determines survival time of tumor-bearing mice

Studies of mouse models of human cancer have established the existence of multiple tumor modifiers that influence parameters of cancer susceptibility such as tumor multiplicity, tumor size, or the probability of malignant progression. We have carried out an analysis of skin tumor susceptibility in interspecific Mus musculus/Mus spretus hybrid mice and have identified another seven loci showing either significant (six loci) or suggestive (one locus) linkage to tumor susceptibility or resistance. A specific search was carried out for skin tumor modifier loci associated with time of survival after development of a malignant tumor. A combination of resistance alleles at three markers [D6Mit15 (Skts12), D7Mit12 (Skts2), and D17Mit7 (Skts10)], all of which are close to or the same as loci associated with carcinoma incidence and/or papilloma multiplicity, is significantly associated with increased survival of mice with carcinomas, whereas the reverse combination of susceptibility alleles is significantly linked to early mortality caused by rapid carcinoma growth (χ2 = 25.22; P = 5.1 × 10−8). These data indicate that host genetic factors may be used to predict carcinoma growth rate and/or survival of individual backcross mice exposed to the same carcinogenic stimulus and suggest that mouse models may provide an approach to the identification of genetic modifiers of cancer survival in humans.

High-sensitivity array analysis of gene expression for the early detection of disseminated breast tumor cells in peripheral blood

Early detection is an effective means of reducing cancer mortality. Here, we describe a highly sensitive high-throughput screen that can identify panels of markers for the early detection of solid tumor cells disseminated in peripheral blood. The method is a two-step combination of differential display and high-sensitivity cDNA arrays. In a primary screen, differential display identified 170 candidate marker genes differentially expressed between breast tumor cells and normal breast epithelial cells. In a secondary screen, high-sensitivity arrays assessed expression levels of these genes in 48 blood samples, 22 from healthy volunteers and 26 from breast cancer patients. Cluster analysis identified a group of 12 genes that were elevated in the blood of cancer patients. Permutation analysis of individual genes defined five core genes (P ≤ 0.05, permax test). As a group, the 12 genes generally distinguished accurately between healthy volunteers and patients with breast cancer. Mean expression levels of the 12 genes were elevated in 77% (10 of 13) untreated invasive cancer patients, whereas cluster analysis correctly classified volunteers and patients (P = 0.0022, Fisher's exact test). Quantitative real-time PCR confirmed array results and indicated that the sensitivity of the assay (1:2 × 108 transcripts) was sufficient to detect disseminated solid tumor cells in blood. Expression-based blood assays developed with the screening approach described here have the potential to detect and classify solid tumor cells originating from virtually any primary site in the body.

ANX7, a candidate tumor suppressor gene for prostate cancer

The ANX7 gene is located on human chromosome 10q21, a site long hypothesized to harbor a tumor suppressor gene(s) (TSG) associated with prostate and other cancers. To test whether ANX7 might be a candidate TSG, we examined the ANX7-dependent suppression of human tumor cell growth, stage-specific ANX7 expression in 301 prostate specimens on a prostate tissue microarray, and loss of heterozygosity (LOH) of microsatellite markers at or near the ANX7 locus. Here we report that human tumor cell proliferation and colony formation are markedly reduced when the wild-type ANX7 gene is transfected into two prostate tumor cell lines, LNCaP and DU145. Consistently, analysis of ANX7 protein expression in human prostate tumor microarrays reveals a significantly higher rate of loss of ANX7 expression in metastatic and local recurrences of hormone refractory prostate cancer as compared with primary tumors (P = 0.0001). Using four microsatellite markers at or near the ANX7 locus, and laser capture microdissected tumor cells, 35% of the 20 primary prostate tumors show LOH. The microsatellite marker closest to the ANX7 locus showed the highest rate of LOH, including one homozygous deletion. We conclude that the ANX7 gene exhibits many biological and genetic properties expected of a TSG and may play a role in prostate cancer progression.

Cyclins as markers of tumor proliferation: immunocytochemical studies in breast cancer.

We have developed methods to use anticyclin A, B, and E antibodies as reagents to specifically detect proliferating cells in specific phases of the cell cycle in formalin-fixed, paraffin-embedded sections of tissues and cells. Staining of 48 archival cases of breast cancer showed that these antibodies estimate the tumor proliferation fraction and therefore are potentially useful for the prediction of prognosis. A subset of cancers had a high frequency of tumor cells expressing cyclins A and E, out of proportion to other proliferation markers, suggesting that these tumors may have deregulated cyclin expression. In addition to recognizing authentic cyclin E in the nucleus of proliferating cells, anticyclin E antibody cross-reacted with a cytoplasmic protein in nonproliferating endothelial cells. This cross-reaction allows the simultaneous visualization and quantitation of microvessels in the tumors, measuring a second potential predictor of breast cancer prognosis, tumor angiogenesis.

Ecological studies on high-rate biological filters with special reference to microbial biosynthesis and nitrification

Pilot scale studies of high rate filtration were initiated to assess its potential as either a primary 'roughing' filter to alleviate the seasonal overloading of low rate filters on Hereford sewage treatment works - caused by wastes from cider production - or as a two stage high rate process to provide complete sewage treatment. Four mineral and four plastic primary filter media and two plastic secondary filter media were studied. The hydraulic loading applied to the primary plastic media (11.2 m3 /m3 .d) was twice that applied to the mineral media. The plastic media removed an average around 66 percent and the mineral media around 73 percent of the BOD applied when the 90 percentile BOD concentration was 563 mg/1. At a hydraulic loading of 4 m3 /m3 .d the secondary filters removed most of the POD from partially settled primary filter effluents, with one secondary effluent satisfying a 25 mg/1 BOD and 30 mg/1 SS standard. No significant degree of nitrification was achieved. Fungi dominated the biological film of the primary filters, with invertebrate grazers having little influence on film levels. Ponding did not arise, and modular media supported lower film levels than random-fill types. Secondary filter film levels were low, being dominated by bacteria. The biological loading applied to the filters was related to sludge dewaterability, with the most readily conditionable sludges produced by filters supporting heavy film. Sludges produced by random-fill media could be dewatered as readily as those produced by low rate filters treating the same sewage. Laboratory scale studies showed a relationship between log effluent BOD and nitrification achieved by biological filters. This relationship and the relationship between BOD load applied and removed observed in all filter media could he used to optimise operating conditions required in biological filters to achieve given effluent BOD and ammoniacal nitrogen standards.

Technical Report on the reduced graphene oxide biosynthesis protocol for biological applications

The interest of scientific community on carbon-based smart materials is growing and, especially focus on graphene oxide (GO) and reduced graphene oxide (rGO). An increasing number of bio-applications such as biological applications as bacterial inhibition, drug delivery and photothermal therapy aims the use of GO and rGO. For this reason, the methods used for the synthesis of graphene materials are more important because same of those procedures imply chemical reactions that involve hazardous and toxic reagents. In fact, the biocompatibility and toxicological activity of graphene-related materials is related to the methodologies employed for the synthesis that determine the carbon/oxygen (C/O) ratio of graphene oxide species. In this technical report, we focused on the synthesis of GO by means of that lead to a biocompatible GO form with a lower oxygen content. Thus, the synthesis of rAsGFP-rGO with the green fluorescent protein allowed us to obtain a biocompatible materials, without using hazardous and toxic reagents. This biocompatibility is the most important prerogative for the use of GO in biological activity assays as reported in several publications.