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Mammalian target of rapamycin (mTOR) signaling is required for a late-stage fusion process during skeletal myotube maturation.

Skeletal myogenesis is a well orchestrated cascade of events regulated by multiple signaling pathways, one of which is recently characterized by its sensitivity to the bacterial macrolide rapamycin. Previously we reported that the mammalian target of rapamycin (mTOR) regulates the initiation of the differentiation program in mouse C2C12 myoblasts by controlling the expression of insulin-like growth factor-II in a kinase-independent manner. Here we provide experimental evidence suggesting that a different mode of mTOR signaling regulates skeletal myogenesis at a later stage. In the absence of endogenous mTOR function in C2C12 cells treated with rapamycin, a kinase-inactive mTOR fully supports myogenin expression, but causes a delay in contractile protein expression. Myoblasts fuse to form nascent myotubes in the absence of kinase-active mTOR, whereas the formation of mature myotubes by further fusion requires the catalytic activity of mTOR. Therefore, the two stages of myocyte fusion are molecularly separable at the level of mTOR signaling. In addition, our data suggest that a factor secreted into the culture medium is responsible for mediating the function of mTOR in regulating the late-stage fusion leading to mature myotubes. Furthermore, taking advantage of the unique features of cells stably expressing a mutant mTOR, we have performed cDNA microarray analysis to compare global gene expression profiles between mature and nascent myotubes, the results of which have implicated classes of genes and revealed candidate regulators in myotube maturation or functions of mature myotubes.

Animals↗

Two-dimensional transcriptome profiling: identification of messenger RNA isoform signatures in prostate cancer from archived paraffin-embedded cancer specimens.

The expression of specific mRNA isoforms may uniquely reflect the biological state of a cell because it reflects the integrated outcome of both transcriptional and posttranscriptional regulation. In this study, we constructed a splicing array to examine approximately 1,500 mRNA isoforms from a panel of genes previously implicated in prostate cancer and identified a large number of cell type-specific mRNA isoforms. We also developed a novel "two-dimensional" profiling strategy to simultaneously quantify changes in splicing and transcript abundance; the results revealed extensive covariation between transcription and splicing in prostate cancer cells. Taking advantage of the ability of our technology to analyze RNA from formalin-fixed, paraffin-embedded tissues, we derived a specific set of mRNA isoform biomarkers for prostate cancer using independent panels of tissue samples for feature selection and cross-analysis. A number of cancer-specific splicing switch events were further validated by laser capture microdissection. Quantitative changes in transcription/RNA stability and qualitative differences in splicing ratio may thus be combined to characterize tumorigenic programs and signature mRNA isoforms may serve as unique biomarkers for tumor diagnosis and prognosis.

Aged↗

Stratification of intermediate-risk endometrial cancer patients into groups at high risk or low risk for recurrence based on tumor gene expression profiles.

PURPOSE: Endometrial cancers classified as "intermediate risk" based on clinical and/or pathologic features are associated with a 15% to 20% risk of recurrence. Here, we test whether global gene expression profiling can distinguish intermediate-risk tumors into high-risk and low-risk subgroups. EXPERIMENTAL DESIGN: Tumor specimens were obtained from 75 intermediate-risk endometrial cancer patients, 13 who had recurred and 62 who had not recurred with a median follow-up of 24 months. Gene expression profiles were obtained using the Affymetrix U133A GeneChip oligonucleotide microarray. The genes most associated with risk of recurrence were used to create a risk score using a leave-one-out cross-validation method and the univariate Cox proportional hazards regression model. Time to recurrence curves for the high-risk and low-risk subgroups were estimated using the Kaplan-Meier method, and the difference in time to recurrence between these two subgroups was tested using the log-rank test. RESULTS: There was a significant difference in time to recurrence between high-risk and low-risk patients using risk scores as defined above (P = 0.04). The estimated hazard ratio (95% confidence interval) was 3.07 (1.00-9.43). CONCLUSIONS: Patients with intermediate-risk endometrial cancers identified as high-risk for recurrence according to a gene expression-based risk score have a significantly increased risk for recurrence compared with those classified as low risk. These findings suggest that gene expression profiling can potentially contribute to the clinical classification and management of intermediate-risk endometrial cancers.

Aged↗

PhenoChipping of psychotic disorders: a novel approach for deconstructing and quantitating psychiatric phenotypes.

Psychiatric phenotypes as currently defined are primarily the result of clinical consensus criteria rather than empirical research. We propose, and present initial proof of principle for, a novel approach to characterizing psychiatric phenotypes. We have termed our approach PhenoChipping, by analogy with, and borrowing paradigms and tools from, gene expression microarray studies (GeneChipping). A massive parallel profiling of cognitive and affective state is done with a PhenoChip composed of a battery of existing and new quantitative psychiatric rating scales, as well as hand neuromotor measures. We present preliminary data from 104 subjects, 72 with psychotic disorders (bipolar disorder-41, schizophrenia-17, schizoaffective disorder-14), and 32 normal controls. Microarray data analysis software and visualization tools were used to investigate: 1. relationships between phenotypic items ("phenes"), including with objective motor measures, and 2. relationships between subjects. Our analyses revealed phenotypic overlap among, as well as phenotypic heterogeneity within, the three major psychotic disorders studied. This approach may be useful in helping us move beyond current diagnostic classifications, and suggests a combinatorial building-block (Lego-like) structure underlies psychiatric syndromes. The adaptation of microarray informatic tools for phenotypic analysis readily facilitates direct integration with gene expression profiling of lymphocytes in the same individuals, a strategy for molecular biomarker identification. Empirically derived clusterings of (endo)phenotypes and of patients will better serve genetic, pharmacological, and imaging research, as well as clinical practice.

Adult↗

Lichen biodeterioration of ecclesiastical monuments in northern Spain.

Seven highly-coloured lichen species belonging to the genera Caloplaca, Candelariella, Aspicilia and Xanthoria from ecclesiastical buildings in northern Spain have been analysed non-destructively by FT-Raman spectroscopy. The vibrational band assignments in the spectra of the specimens, which were still attached to their limestone or sandstone substrata, were accomplished with the assistance of the chemical compositions obtained from wet chemical extraction methods. beta-Carotene was found in all specimens as the major pigment, and the characteristic spectral signatures of calcium oxalate monohydrate (whewellite) and dihydrate (weddelite) could be identified; chemical signatures were found for these materials even in lichen thalli growing the non-calcareous substrata, indicating, probably, that the calcium was provided here from wind-or-rain-borne sources. The Raman spectral biomarkers found in the lichens broadly agreed with the chemical extraction profiles as expected, but the present study indicates that some form of non-destructive taxonomic identification based on Raman spectroscopy was possible.

Calcium↗

Detection of dermcidin-derived peptides in sweat by ProteinChip technology.

Recently, a novel antimicrobial peptide DCD-1, derived from the Dermcidin (DCD) gene and secreted by sweat glands, has been described by Schittek et al. [Nat. Immunol. 2 (2001) 1133.]. Here we describe the application of the surface-enhanced laser desorption/ionisation (SELDI) technology for the detection of DCD-1 and other dermcidin-derived peptides directly from microlitre amounts of human sweat. The advantages of the technique are as follows: (a) it can be carried out with ease and rapidity; (b) multiple samples can be processed simultaneously; (c) prior purification is not required; and (d) only a limited sample volume is necessary for both protein profiling and semiquantitation. Profiling of human sweat from various donors revealed that in addition to DCD-1, other DCD-derived peptide species were also present in significant quantities. Four of five identified peptides were DCD-1 related, while the fifth corresponded to a portion of the DCD protein outside the DCD-1 core. This provides clues as to how the novel protein is processed to its active form, though further work remains to elucidate this fully. Thus, we have demonstrated the applicability of such technology to the detection of DCD-1 and for the protein profiling of sweat in general. Such studies could reveal valuable new biomarkers for diagnosis and treatment of skin and sweat gland disorders.

Amino Acid Sequence↗

Potential benefits of the irreversible pan-erbB inhibitor, CI-1033, in the treatment of breast cancer.

Transmembrane receptor tyrosine kinases have been shown to play an important role in the modulation of growth factor signaling and regulation of key cellular processes. The erbB receptor family is part of the receptor tyrosine kinase superfamily and consists of four members, erbB-1, erbB-2, erbB-3, and erbB-4. A majority of solid tumors express one or more members of this receptor family, and coexpression of multiple erbB receptors leads to an enhanced transforming potential and worsened prognosis. The erbB receptor family has been shown to play an important role in both the development of the normal breast and in the pathogenesis and progression of breast cancer. Receptor overexpression has also been shown to be a negative prognostic indicator and to correlate with both tumor invasiveness and a lack of responsiveness to standard treatment. Clinically, blockade of the erbB-2 receptor has recently been shown to provide benefit in a subset of chemotherapy-resistant breast cancer patients. CI-1033 is an orally available pan-erbB receptor tyrosine kinase inhibitor that, unlike the majority of receptor inhibitors, effectively blocks signal transduction through all four members of the erbB family. In addition, it blocks the highly tumorigenic, constitutively activated variant of erbB-1, EGFRvIII, and inhibits downstream signaling through both the Ras/MAP kinase, and PI-3 kinase/AKT pathways. CI-1033 is also unique in that it is an irreversible inhibitor, thereby providing prolonged suppression of erbB receptor-mediated signaling. Preclinical data have shown CI-1033 to be efficacious against a variety of human tumors in mouse xenograft models, including breast carcinomas. In a phase I study, CI-1033 has been shown to have an acceptable side effect profile at potentially therapeutic dose levels and demonstrates evidence of target biomarker modulation. Antitumor activity has also been observed in this study, including one partial clinical response and stable disease in over 30% of patients, including one patient with heavily pretreated breast cancer. By virtue of its pan-erbB receptor inhibition and potent interruption of downstream mitogenic signaling pathways, CI-1033 may have clinical activity for solid tumors that overexpress one erbB family member, coexpress multiple members of the erbB family, or express a constitutively activated, mutated form of these receptors. Given the important role of the erbB receptor family in the pathogenesis and progression of breast cancer, an irreversible pan-erbB inhibitor like CI-1033 could have an important role to play in the future treatment of breast cancer.

Animals↗

Proteomics in prostate cancer.

PURPOSE OF REVIEW: State-of-the-art proteomics technologies are currently being assessed for utility in the study of prostatic malignancy. This review aims to provide background information on the current proteomics techniques employed in prostate cancer research, recent reports showing the potential application of proteomics in urological practice, and the future direction of proteomics in prostate cancer research and management. RECENT FINDINGS: Proteomic profiling of serum as a diagnostic tool and a platform for biomarker discovery in prostate cancer continues to draw favorable attention as well as close scrutiny as technological enhancements and multi-center study results are reported. In-vitro studies on prostate cell lines provide positive proof-of-principle results. The application of proteomics to query prostate tissue specimens yields novel prostate cancer biomarkers requiring further validation. The integration of proteomics with immunology also yields promising findings that may translate into clinically relevant biological assays. SUMMARY: The study of proteomics is an emerging research field, and current studies continue to display potential future usage in prostate cancer management. Succeeding scientific investigations will probably yield new diagnostic and prognostic tools for prostate cancer, provide insights into its underlying biology, and contribute to the development of novel treatment strategies.

Gene Expression↗

Tumor-associated macrophages display differential protein cargo sorting in extracellular vesicles associated with poor survival in ovarian cancer.

Ovarian cancer (OC) progression and metastasis are promoted by ascites, which constitutes a central part of the tumor microenvironment (TME). In this fluid, tumor-associated macrophages (TAMs) represent a prominent immune cell type. In addition to tumor and other host cells such as TAMs, ascites is highly enriched in soluble factors as well as extracellular vesicles (EVs). How TAMs contribute to the EV compartment of the OC TME remains, however, underexplored. In this work peripheral blood monocytes from healthy donors were differentiated into monocyte-derived macrophages (MDMs) and polarized into classically activated (M1-like), alternatively activated (M2-like) and TAM-like (by ascites incubation). For all subtypes, serum-free conditioned medium was collected for 24 h and EVs were isolated and characterized by nano-flow cytometry (nFC), label-free mass spectrometry-based proteomics and electron microscopy, among others. Our results demonstrated distinct traits for EV release and cargo across the different macrophage subtypes. Specifically, TAM-like macrophages exhibited impaired release of small EVs and reduced frequency of tetraspanin-positive particles. These EV subpopulations displayed sizing profiles closer to M1-like than to M2-like samples. Also, the low EV release in TAM-like MDMs was accompanied by altered expression of biogenesis-related markers like flotillin-1 (FLOT1) and a decreased N-glycosylation of CD63 protein, which was validated in patient-derived samples. Remarkably, the EV-associated proteome of TAMs displayed significant enrichment in both pro- and anti-inflammatory molecules with clinical value. Markers significantly enriched in the ascites TAM-EV signature were mostly associated with poor prognosis, whereas M1-like EV-related markers (pro-inflammatory) were mostly associated with longer survival. Our results confirmed previous data for proteins like CD163 and MRC1 to be associated to TAM-EVs, while also describing novel candidates with diagnostic (i.e., COLEC12) and/or prognostic (i.e., MSR1) value in plasma. Taken together, our data support a unique secretory profile of TAMs in OC and provide new EV-associated biomarkers with translational impact. Our results pave the way for a better understanding of the mechanisms behind TAM-EV cargo loading and function, and how these cells participate in the TME landscape.

Humans↗

Adjuvant tislelizumab, lenvatinib, and capecitabine for resected biliary tract cancer: a prospective phase II trial.

BACKGROUND: This study aims to assess the efficacy and safety of a triplet adjuvant regimen consisting of tislelizumab, lenvatinib, and capecitabine following radical resection in patients with biliary tract cancer (BTC). METHODS: In this open-label, single-arm trial, patients with histologically confirmed BTC who had undergone curative resection were enrolled to receive adjuvant therapy within 4-16 weeks postoperatively. The treatment regimen consisted of tislelizumab (200 mg), lenvatinib (8 mg), and capecitabine (1250 mg/m2). The primary endpoint was the 1-year disease-free survival (DFS) rate. Secondary endpoints included median DFS, 2-year DFS rate, and 1- and 3-year overall survival (OS) rates, as well as safety profiles. Exploratory analyses were conducted to evaluate genomic alterations and prognostic biomarkers associated with clinical outcomes. RESULTS: Between February 24 and December 31, 2022, a total of 50 patients underwent treatment. As of the data cutoff (April 30, 2025), the median follow-up duration was 29.3 months (95% CI: 27.2-30.4). Intrahepatic cholangiocarcinoma constituted 78% of cases, with TNM stage III or IV observed in 40% of patients and poorly differentiated tumors identified in another 40%. The median DFS was calculated at 12.7 months (95% CI: 6.4-19.0), with DFS rates being reported as 55.5% (95% CI: 51.4%-57.6%) at 1 year and 30.8% (95% CI: 28.6%-32.9%) at 2 years, respectively. Median OS was not reached; however, the 1-year OS rate stood at an impressive figure of 93.8% (95% CI:&#x202f;91.7%-95.9%) while the 3-year OS rate declined to&#x202f;54.4% (95% CI: 50.0%-58.4%). By the exploratory analyses, FSIP2 mutation was associated shorter DFS (P&#x2009;<&#x2009;0.001). Treatment-related grade 3 adverse events occurred in 20% of patients, with no treatment-related deaths or grade&#x2009;&#x2265;&#x2009;4 toxicities reported. CONCLUSIONS: Adjuvant tislelizumab, lenvatinib, and capecitabine demonstrated clinical activity and tolerable safety in patients with resected BTC. Despite not meeting the primary endpoint, continued follow-up and further evaluation are warranted to better define the potential role of this combination regimen. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05254847; registered prospectively on February 15, 2022.

Humans↗

Predictive ADME-Tox London, UK, 27 -- 28 April 2005.

The Predictive ADME-Tox conference brought together scientists responsible for innovative in vitro and in silico screens to predict particular chemical liabilities. Oral bioavailability without adverse effects requires good absorption, distribution, metabolism and excretion (ADME) and minimal toxicity. Traditionally, these properties are measured late in development, when sufficient material is available for classical assays. Although these assays remain the gold standard, the conference focused on novel methods to predict liabilities early in the development pipeline, when a course change has less impact in the development timeline. Emerging themes from the meeting were i) integration - of data from a number of predictive assays into a 'profile' of a new class, and of safety scientists into discovery teams, in order to guide interpretation of the profile and identify tests to include in the hit-to-lead process; and ii) collaboration. As in silico predictive models are increasingly accepted, from reactivity and genetic toxicity to models for hERG inhibition, kinase crossreactivity and cytochrome P450 reactivity, increasing amounts of high-quality data will be needed to 'feed' the models. Such data will soon be beyond the capabilities of individual organisations to generate, and methods for pooling data are needed to advance the generation of predictive models for new toxicities. In addition, collaboration to apply novel methods such as metabonomics profiling to withdrawn drugs may permit the identification of new safety biomarkers to prevent such costly failures.

Biotransformation↗

Pharmacogenomics, genetic testing and ethnic variability: tackling the ethical questions.

Dr Winkelmann is the Head of the Cooperation Unit for Pharmacogenomics and Applied Genomics in Heidelberg, which was founded in 2001 by the Department of Internal Medicine VI and the Coordination Centre for Clinical Trials at the University of Heidelberg. His main interests are sophisticated phenotyping procedures for patient characterization and the conduct of multicenter clinical trials according to international standards with state-of-the-art data management. He currently applies new genomic tools in order to achieve progress in personalized medicine using collaborating networks of general practitioners for patient enrollment. The focus of his research group is on the common complex genetic cardiovascular and metabolic diseases ranging from coronary artery disease, dyslipidemia and hypertension, to metabolic syndrome and diabetes mellitus. In collaboration with partners from biotech, the genomic techniques used in clinical studies include haplotyping of candidate genes, gene expression profiling of peripheral leucocytes and proteomics in order to identify new biomarkers of effect in therapeutic studies or pathway/target gene identification in disease-specific family studies using microarray-based linkage approaches. An innovative web-based remote data entry system with an integrated pedigree drawing tool is used in the family studies. Dr Winkelmann is also involved as the clinical database coordinator for a European Framework VI research initiative of leading European centers in cardiovascular genetics for identification of risk genes for atherothrombosis in coronary artery disease by transcriptome and proteome analysis and high throughput exon resequencing at the Wellcome Trust Sanger Institute, Cambridge, UK.

Cardiovascular Diseases↗

Integrated multi-omics identification of m6A-SNP-related diagnostic biomarkers in amyotrophic lateral sclerosis.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks reliable and minimally invasive biomarkers for early diagnosis. m6A-associated single-nucleotide polymorphisms (m6A-SNPs) may influence RNA methylation and gene expression, offering opportunities to identify clinically relevant diagnostic markers. METHODS: We integrated eQTLGen cis-eQTL data, RMVar m6A-SNP annotations, and ALS transcriptomic datasets to identify m6A-SNP-related genes. Random Forest and LASSO regression were combined to screen robust diagnostic markers. A nomogram was constructed and validated using independent cohorts. Immune infiltration, predicted m6A modification sites, and potential RBP-SNP interactions were assessed. Peripheral blood samples from ALS patients were used for exploratory validation of gene expression and global m6A levels. RESULTS: We identified 109 ALS-associated m6A-SNP-related genes with cis-eQTL signals and narrowed these to seven candidate diagnostic markers (TMED5, OXR1, BRI3, FEM1C, SUZ12, EIF2AK4, and TJAP1). The seven-gene model outperformed the individual markers in the training cohort and retained moderate discrimination in the independent validation cohort. ALS samples showed differences in inferred immune-cell composition, including monocytes, neutrophils, and T-cell subsets. The selected SNP loci were located near predicted m6A sites and annotated RBP-binding regions. Exploratory clinical validation showed significant upregulation of FEM1C and SUZ12 at both mRNA and protein levels, accompanied by reduced global m6A modification. CONCLUSIONS: Through multi-omics integration and exploratory clinical validation, this study identifies m6A-SNP-related candidate markers associated with ALS. The findings support further evaluation of m6A-related signatures for ALS discrimination and molecular characterization, while larger independent cohorts and additional calibration are required before clinical application.

Humans↗

Proteomics to diagnose human tumors and provide prognostic information.

Proteomics is a rapidly emerging scientific discipline that holds great promise in identifying novel diagnostic and prognostic biomarkers for human cancer. Technologic improvements have made it possible to profile and compare the protein composition within defined populations of cells. Laser capture microdissection is a tool for procuring pure populations of cells from human tissue sections to be used for downstream proteomic analysis. Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has been used traditionally to separate complex mixtures of proteins. Improvements in this technology have greatly enhanced resolution and sensitivity providing a more reproducible and comprehensive survey. Image analysis software and robotic instrumentation have been developed to facilitate comparisons of complex protein expression patterns and isolation of differentially expressed proteins spots. Differential in-gel electrophoresis (DIGE) facilitates protein expression by labeling different populations of proteins with fluorescent dyes. Isotope-coded affinity tagging (ICAT) uses mass spectroscopy for protein separation and different isotope tags for distinguishing populations of proteins. Although in the past proteomics has been primarily used for discovery, significant efforts are being made to develop proteomic technologies into clinical tools. Reverse-phase protein arrays offer a robust new method of quantitatively assessing expression levels and the activation status of a panel of proteins. Surface-enhanced laser-desorption/ionization time-of-flight (SELDI-TOF) mass spectroscopy rapidly assesses complex protein mixtures in tissue or serum. Combined with artificial intelligence-based pattern recognition algorithms, this emerging technology can generate highly accurate diagnostic information. It is likely that mass spectroscopy-based serum proteomics will evolve into useful clinical tools for the detection and treatment of human cancers.

Early Diagnosis↗

[Early laboratory markers of acute renal failure].

Acute renal failure is a sudden clinical condition caused by loss of renal ability to maintain homeostasis. Despite significant advances in renal replacement therapy--the mortality rate in ARF patients is still very high--ranging from 20% to 50%. Differential diagnostics, especially between acute prerenal and intrinsic acute renal failure is an extremly important stage in patient evaluation process. In the article--the authors present a short and concise profile of novel, more and less promising for future diagnostic ARF biomarkers: neutrophil gelatinase associated lipocalin (NGAL), sodium/hydrogen exchanger isoform 3 (NHE3), human kidney injury molecule-1 (hKIM-1), interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 18 (IL-18), urinary cysteine-rich protein (Cyr 61), urinary glutathione-S-transferase (GST), cystatin C, spermidine/spermine N-acetyl transferase (SSAT) and actin) which are recently either in the animal model research stage or during preliminary clinical studies. Extension of research and wideninig of knowledge about the discussed novel, early markers of ARF--would permit for quicker introduction of specifically guided therapy and might improve the prognosis of ARF patients in the near future.

Acute Kidney Injury↗

Expression profiles of two types of human knee-joint cartilage.

We have performed a comprehensive analysis of gene-expression profiles in human articular cartilage (hyaline cartilage) and meniscus (fibrocartilage) by means of a cDNA microarray consisting of 23,040 human genes. Comparing the profiles of the two types of cartilage with those of 29 other normal human tissues identified 24 genes that were specifically expressed in both cartilaginous tissues; these genes might be involved in maintaining phenotypes common to cartilage. We also compared the cartilage profiles with gene expression in human mesenchymal stem cells (hMSC), and detected 22 genes that were differentially expressed in cells representing the two cartilaginous lineages, 11 specific to each type, which could serve as markers for predicting the direction of chondrocyte differentiation. Our data should also provide useful information about regeneration of cartilage, especially in support of efforts to identify cartilage-specific molecules as potential agents for therapeutic approaches to joint repair.

Biomarkers↗

Gene expression profiling in clinically localized prostate cancer: a four-gene expression model predicts clinical behavior.

PURPOSE: New diagnostic and prognostic molecular markers are required for prostate cancer, one of the most common male malignancies in Western countries. Gene expression profiling may help to identify genes involved in prostate carcinogenesis, yield clinical biomarkers, and improve tumor classification. EXPERIMENTAL DESIGN: To identify fundamental differences between normal and neoplastic prostate tissue, we used real-time quantitative RT-PCR assays to quantify the mRNA expression of 291 selected genes in samples of normal prostate and of well-documented primary, clinically localized prostate tumors. RESULTS: Forty-six genes showed significantly different expression in tumors relative to normal prostate. The dysregulated genes belong notably to the extracellular membrane and extracellular membrane remodeling categories and are involved in angiogenesis. Furthermore, we obtained a four-gene (XLKD1/LYVE1, CGA, F2R/PAR1, and BCL-G) model that discriminated between the seven patients with and the seven patients without relapse, independently of stage and grade. CONCLUSIONS: Some dysregulated genes are good candidates for use as molecular markers and/or therapeutic targets. Furthermore, differential gene expression profiling of clinically localized prostate tumors from relapsing and nonrelapsing patients identified a set of four genes with a pattern of expression that defines a molecular signature that could predict the clinical behavior of this disease.

Aged↗

Serologic assessment of type 1 and type 2 immunity in healthy Japanese adults.

We assessed the informativeness of several serologic biomarkers of immune function using serum specimens collected in the Miyazaki Cohort Study from subjects who were seronegative for anti-human T-cell lymphotrophic virus I and anti-hepatitis C virus. To broadly characterize type 1 immune status, we measured EBV antibody titers, because titer profiles associated with cellular immune suppression are well described. We also tested for three type 2 biomarkers: total serum IgE, soluble CD23, and soluble CD30. Nonreactivity to a tuberculin purified protein derivative (PPD) skin test is indicative of diminished delayed-type hypersensitivity (type 1) responsiveness in the study population due to a history of tuberculosis exposure or Bacillus Calmette-Guérin vaccination. We therefore evaluated the serologic markers as predictors of PPD nonreactivity using logistic regression. Subjects whose EBV antibody profiles were consistent with deficient type 1 immunity were more than thrice as likely to be PPD nonreactive as persons with "normal" antibody titers. Elevated total IgE was also strongly associated with PPD nonreactivity (odds ratio 3.4, 95% confidence interval 1.2-9.9); elevated soluble CD23 had a weaker, but positive, odds ratio, whereas soluble CD30 levels were not predictive of PPD status. Therefore, PPD nonreactivity is associated, in this population, with a pattern of serum biomarkers that is indicative of diminished type 1 and elevated type 2 immunity. We conclude that, with the exception of soluble CD30, the serologic markers are informative for the characterization of type 1/type 2 immune status using archived sera from study populations of healthy adults.

Adult↗