Determination of the association of urine prostate specific antigen levels with anthropometric variables in children aged 5-14 years.

PURPOSE: Calculation of PSA is possible in human fluids even if it presents in very low concentrations with the help of hypersensitive immunodiagnostic methods. The periurethral glands represent one of the potential sources of urine prostate specific antigen (uPSA) in both sexes but the purpose of studying PSA levels in children is still unclear in the literature. In this pilot study we studied uPSA in a small cohort of normal, pre and post pubertal children, in relation to standard anthropometric variables. MATERIALS AND METHODS: The study cohort consisted of 58 children 5-14 years old (42 boys/16 girls). Height, weight, body mass index (BMI) and the respective stature-for-age, weight-for-age and BMI-for-age percentiles of the sample were determined. uPSA levels were measured using a third generation immunodiagnostic method (DPC Immulite that has a lower limit of detection of 3 ng/L. When levels of PSA were above the upper limit of detection, uPSA levels were assessed using the ROCHE technique. RESULTS: uPSA levels tend to be higher in male than female children (p = 0.091, linear regression analysis). uPSA was measurable only in 3/16 girls (18.75%). Measurable uPSA was found in 18/42 boys (42.8%). The range of urine PSA in boys was 0-161000 ng/L (mean 10561.9 +/- 31830.48 ng/L). Statistical analysis with linear regression showed correlation with height and age in boys. CONCLUSIONS: The use of hypersensitive assays allows calculation of uPSA in childhood. The values of this variable are measurable in both sexes and related with gender. In boys, uPSA was correlated with age and height but not with other variables tested. Further studies are required to clarify this field.

Emerging biomarkers for the diagnosis and prognosis of prostate cancer.

BACKGROUND: Early detection of prostate cancer (CaP), the most prevalent cancer and the second-leading cause of death in men, has proved difficult, and current detection methods are inadequate. Prostate-specific antigen (PSA) testing is a significant advance for early diagnosis of patients with CaP. CONTENT: PSA is produced almost exclusively in the prostate, and abnormalities of this organ are frequently associated with increased serum concentrations. Because of PSA's lack of specificity for CaP, however, many patients undergo unnecessary biopsies or treatments for benign or latent tumors, respectively. Thus, a more specific method of CaP detection is required to augment or replace screening with PSA. The focus recently has been on creating cost-effective assays for circulating protein biomarkers in the blood, but because of the heterogeneity of CaP, it has become clear that this effort will be a formidable challenge. Each marker will require proper validation to ensure clinical utility. Although much work has been done on variations of the PSA test (i.e., velocity, density, free vs bound, proisoforms) with limited usefulness, there are many emerging markers at various stages of development that show some promise for CaP diagnosis. These markers include kallikrein-related peptidase 2 (KLK2), early prostate cancer antigen (EPCA), PCA3, hepsin, prostate stem cell antigen, and alpha-methylacyl-CoA racemase (AMACR). We review biomarkers under investigation for the early diagnosis and management of prostate cancer. SUMMARY: It is hoped that the use of panels of markers can improve CaP diagnosis and prognosis and help predict the therapeutic response in CaP patients.

Phosphorylation of IGFBP-1 at discrete sites elicits variable effects on IGF-I receptor autophosphorylation.

We previously demonstrated that hypoxia and leucine deprivation cause hyperphosphorylation of IGF-binding protein-1 (IGFBP-1) at discrete sites that markedly enhanced IGF-I affinity and inhibited IGF-I-stimulated cell growth. In this study we investigated the functional role of these phosphorylation sites using mutagenesis. We created three IGFBP-1 mutants in which individual serine (S119/S169/S98) residues were substituted with alanine and S101A was recreated for comparison. The wild-type (WT) and mutant IGFBP-1 were expressed in Chinese hamster ovary cells and IGFBP-1 in cell media was isolated using isoelectric-focusing-free-flow electrophoresis. BIACore analysis indicated that the changes in IGF-I affinity for S98A and S169A were moderate, whereas S119A greatly reduced the affinity of IGFBP-1 for IGF-I (100-fold, P < .0001). Similar results were obtained with S101A. The IGF-I affinity changes of the mutants were reflected in their ability to inhibit IGF-I-induced receptor autophosphorylation. Employing receptor-stimulation assay using IGF-IR-overexpressing P6 cells, we found that WT-IGFBP-1 inhibited IGF-IRß autophosphorylation (~2-fold, P < .001), possibly attributable to sequestration of IGF-I. Relative to WT, S98A and S169A mutants did not inhibit receptor autophosphorylation. S119A, on the other hand, greatly stimulated the receptor (2.3-fold, P < .05). The data with S101A matched S119A. In summary, we show that phosphorylation at S98 and S169 resulted in milder changes in IGF-I action; nonetheless most dramatic inhibitory effects on the biological activity of IGF-I were due to IGFBP-1 phosphorylation at S119. Our results provide novel demonstration that IGFBP-1 phosphorylation at S119 can enhance affinity for IGF-I possibly through stabilization of the IGF-IGFBP-1 complex. These data also propose that the synergistic interaction of distinct phosphorylation sites may be important in eliciting more pronounced effects on IGF-I affinity that needs further investigation.

Biomarkers for the diagnosis of new and recurrent prostate cancer.

Prostate cancer is the most prevalent cancer in men and can be managed effectively if diagnosed early and monitored. Currently, prostate-specific antigen testing in conjunction with a digital rectal exam has been utilized for screening at-risk men. However, the lack of specificity of prostate-specific antigen as a marker for prostate cancer combined with the asymptomatic and slow-growing nature of prostate tumors has resulted in many men being overdiagnosed and subjected to surgery or treatment with adverse side effects. The focus in the research community currently has been on discovering noninvasive surrogate markers such as proteins, circulating tumor cells and nucleic acids in the blood or urine of patients with prostate cancer. These markers, in combination with prostate-specific antigen, are providing promise that a personalized multiparametric approach to prostate cancer diagnosis and monitoring will aid in managing this disease.

Identification and quantification of peptides and proteins secreted from prostate epithelial cells by unbiased liquid chromatography tandem mass spectrometry using goodness of fit and analysis of variance.

The proteins secreted by prostate cancer cells (PC3(AR)6) were separated by strong anion exchange chromatography, digested with trypsin and analyzed by unbiased liquid chromatography tandem mass spectrometry with an ion trap. The spectra were matched to peptides within proteins using a goodness of fit algorithm that showed a low false positive rate. The parent ions for MS/MS were randomly and independently sampled from a log-normal population and therefore could be analyzed by ANOVA. Normal distribution analysis confirmed that the parent and fragment ion intensity distributions were sampled over 99.9% of their range that was above the background noise. Arranging the ion intensity data with the identified peptide and protein sequences in structured query language (SQL) permitted the quantification of ion intensity across treatments, proteins and peptides. The intensity of 101,905 fragment ions from 1421 peptide precursors of 583 peptides from 233 proteins separated over 11 sample treatments were computed together in one ANOVA model using the statistical analysis system (SAS) prior to Tukey-Kramer honestly significant difference (HSD) testing. Thus complex mixtures of proteins were identified and quantified with a high degree of confidence using an ion trap without isotopic labels, multivariate analysis or comparing chromatographic retention times.

Proteomic analyses reveal high expression of decorin and endoplasmin (HSP90B1) are associated with breast cancer metastasis and decreased survival.

BACKGROUND: Breast cancer is the most common malignancy among women worldwide in terms of incidence and mortality. About 10% of North American women will be diagnosed with breast cancer during their lifetime and 20% of those will die of the disease. Breast cancer is a heterogeneous disease and biomarkers able to correctly classify patients into prognostic groups are needed to better tailor treatment options and improve outcomes. One powerful method used for biomarker discovery is sample screening with mass spectrometry, as it allows direct comparison of protein expression between normal and pathological states. The purpose of this study was to use a systematic and objective method to identify biomarkers with possible prognostic value in breast cancer patients, particularly in identifying cases most likely to have lymph node metastasis and to validate their prognostic ability using breast cancer tissue microarrays. METHODS AND FINDINGS: Differential proteomic analyses were employed to identify candidate biomarkers in primary breast cancer patients. These analyses identified decorin (DCN) and endoplasmin (HSP90B1) which play important roles regulating the tumour microenvironment and in pathways related to tumorigenesis. This study indicates that high expression of Decorin is associated with lymph node metastasis (p<0.001), higher number of positive lymph nodes (p<0.0001) and worse overall survival (p = 0.01). High expression of HSP90B1 is associated with distant metastasis (p<0.0001) and decreased overall survival (p<0.0001) these patients also appear to benefit significantly from hormonal treatment. CONCLUSIONS: Using quantitative proteomic profiling of primary breast cancers, two new promising prognostic and predictive markers were found to identify patients with worse survival. In addition HSP90B1 appears to identify a group of patients with distant metastasis with otherwise good prognostic features.

The kallikrein family of proteins as urinary biomarkers for the detection of prostate cancer.

BACKGROUND: Several urinary biomarkers have been assessed as showing a discriminatory ability to differentially diagnose prostate cancer, albeit with manipulation of the prostate. Here we examine the clinical utility of multiple members of the kallikrein family of proteins in non-manipulative urinary biomarker testing. METHODS: Forty urine samples were collected from patients admitted for urological examination. Twenty, with a confirmed benign diagnosis and 20 with prostate cancer. The levels of 14 kallikrein proteins were measured in patient's urine and normalized for creatinine. RESULTS: Ten of the 14 kallikreins tested had detectable levels in urine. However, none showed statistical significance in discriminating patients. Serum PSA was superior to urine PSA and other urinary kallikreins in separating patients with and without prostate cancer. CONCLUSIONS: We were unable to distinguish men with and without prostate cancer using multiple kallikreins as urinary biomarkers. These results highlight the difficulties in diagnosing prostate cancer via urine testing for soluble biomarkers.

Proteomic analysis of conditioned media from the PC3, LNCaP, and 22Rv1 prostate cancer cell lines: discovery and validation of candidate prostate cancer biomarkers.

Early detection of prostate cancer is problematic due to the lack of a marker that has high diagnostic sensitivity and specificity. The prostate specific antigen (PSA) test, in combination with digital rectal examination, is the gold standard for prostate cancer diagnosis. However, this modality suffers from low specificity. Therefore, specific markers for clinically relevant prostate cancer are needed. Our objective was to proteomically characterize the conditioned media from three human prostate cancer cell lines of differing origin [PC3 (bone metastasis), LNCaP (lymph node metastasis), and 22Rv1 (localized to prostate)] to identify secreted proteins that could serve as novel prostate cancer biomarkers. Each cell line was cultured in triplicate, followed by a bottom-up analysis of the peptides by two-dimensional chromatography and tandem mass spectrometry. Approximately, 12% (329) of the proteins identified were classified as extracellular and 18% (504) as membrane-bound among which were known prostate cancer biomarkers such as PSA and KLK2. To select the most promising candidates for further investigation, tissue specificity, biological function, disease association based on literature searches, and comparison of protein overlap with the proteome of seminal plasma and serum were examined. On the basis of this, four novel candidates, follistatin, chemokine (C-X-C motif) ligand 16, pentraxin 3 and spondin 2, were validated in the serum of patients with and without prostate cancer. The proteins presented in this study represent a comprehensive sampling of the secreted and shed proteins expressed by prostate cancer cells, which may be useful as diagnostic, prognostic or predictive serological markers for prostate cancer.

Discovery of candidate tumor markers for prostate cancer via proteomic analysis of cell culture-conditioned medium.

OBJECTIVE: Prostate-specific antigen measurement, widely used for early detection of prostate cancer (CaP), suffers from low specificity. Additional tumor markers are needed for the early detection of clinically relevant CaP. Our objective was to perform a qualitative proteomic analysis of conditioned medium (CM) from the CaP cell line PC3(AR)(6). METHODS: We used a roller bottle culture system to culture the PC3(AR)(6) cell line in chemically defined serum-free medium for 14 days. By using strong anion-exchange chromatography, we fractionated the CM and trypsinized the fractions. The tryptic peptides were further fractionated by reversed-phase C-18 chromatography before being subjected to electrospray ionization tandem mass spectrometry. We used MASCOT software to search the mass spectra generated and organized identified proteins based on their genome ontology classification of cellular location. We used an immunoassay to measure a newly identified secreted protein, Mac-2BP, and kallikreins 5, 6, and 11 in serum samples from CaP patients and healthy men. RESULTS: We classified 262 proteins according to cellular location; the sample was found to contain a significant proportion of secreted (23%) and membrane (16%) proteins. In a proportion of cancer patients compared with healthy men, we determined by ELISA that serum concentrations of a novel candidate biomarker Mac-2BP were increased. CONCLUSIONS: These identified proteins, and possibly many others found in the CM, may have utility as novel CaP biomarkers.

Determination of the association of urine prostate specific antigen levels with anthropometric variables in children aged 5-14 years

PURPOSE: Calculation of PSA is possible in human fluids even if it presents in very low concentrations with the help of hypersensitive immunodiagnostic methods. The periurethral glands represent one of the potential sources of urine prostate specific antigen (uPSA) in both sexes but the purpose of studying PSA levels in children is still unclear in the literature. In this pilot study we studied uPSA in a small cohort of normal, pre and post pubertal children, in relation to standard anthropometric variables. MATERIALS AND METHODS: The study cohort consisted of 58 children 5-14 years old (42 boys/16 girls). Height, weight, body mass index (BMI) and the respective stature-for-age, weight-for-age and BMI-for-age percentiles of the sample were determined. uPSA levels were measured using a third generation immunodiagnostic method (DPC Immulite®) that has a lower limit of detection of 3 ng/L. When levels of PSA were above the upper limit of detection, uPSA levels were assessed using the ROCHE technique. RESULTS: uPSA levels tend to be higher in male than female children (p = 0.091, linear regression analysis). uPSA was measurable only in 3/16 girls (18.75 percent). Measurable uPSA was found in 18/42 boys (42.8 percent). The range of urine PSA in boys was 0-161000 ng/L (mean 10561.9 ± 31830.48 ng/L). Statistical analysis with linear regression showed correlation with height and age in boys. CONCLUSIONS: The use of hypersensitive assays allows calculation of uPSA in childhood. The values of this variable are measurable in both sexes and related with gender. In boys, uPSA was correlated with age and height but not with other variables tested. Further studies are required to clarify this field.