Familial aggregation of prostate cancer has been demonstrated in studies conducted in a number of countries prior to the widespread adoption of prostate-specific antigen (PSA) testing for prostate cancer detection. PSA testing leads to over-diagnosis of asymptomatic disease that may not have become clinically significant within a man’s normal lifetime. This increase in the number of asymptomatic men diagnosed might alter the magnitude of familial risk estimates and the importance of a prostate cancer family history. (For complete abstract open document)

This thesis investigates two questions: the methodological strengths and weaknesses of meta-analysis and the diagnostic performance of the Stockholm3 test for clinically significant prostate cancer. Through a systematic review and meta-analysis, we explore the robustness and limitations of meta-analysis, focusing on aspects such as bias assessment, heterogeneity, and the impact of the file-drawer problem. Applying these methods, we evaluate the Stockholm3 test’s performance, comparing it to the conventional Prostate-Specific Antigen (PSA) test. Our analysis synthesizes data from four studies consisting of 6 497 men, indicating that the Stockholm3 test offers improved diagnostic accuracy, with a higher pooled Area Under the Curve (AUC), in turn suggesting better identification of clinically significant prostate cancer. Nonetheless, the study also reveals challenges within the practice of meta-analysis, including variation among study methodologies and the presence of bias. These findings highlight the dual purpose of the research: demonstrating the utility and drawbacks of meta-analysis and validating the Stockholm3 test’s potential as a diagnostic tool. The conclusions drawn emphasize the need for continued research to enhance both meta-analytic methods and the clinical applicability of the Stockholm3 test in broader populations.

Several cancers are associated with abnormal serum concentrations of tumor markers such as prostate specific antigen (PSA) in prostate tumor diseases, alfa-fetoprotein (AFP) or human chorionic gonadotrophin (hCG) in germ cell tumors or persistent gestational trophoblastic diseases (GTD). Cancer treatment should induce decline of serum tumor marker concentrations. The predictive values of many kinetic parameters supposed to characterize tumor marker declines such as nadir, time-point cutoff, half-life, time to normalization etc..., have been reported in previous studies. However very few of them have been used in routine due to the lack of outcome reproducibility. Population pharmacokinetic approach-based modeling is already used in pharmacokinetic studies. It might be helpful to characterize tumor marker decline equations dynamically and overcome limitations of previous studies. The feasibility and the relevance of this approach were assessed in 4 studies involving: PSA titers in patients with prostate adenoma or cancer treated with surgery; hCG-AFP in non-seminomatous germ cell tumor patients treated with BEP regimen (Bleomycin-Etoposide-Cisplatin) and hCG in GTD patients treated with methotrexate. Tumor marker decline modeling was feasible in all studies provided the methodology was adjusted to marker specificities. Apparent clearance of hCG and PSA might enable identification of patients with unfavorable decline profiles and thereby with high risk of relapse. Confirmatory studies with independent cohorts of patients are warranted

Submitted by Vasti Diniz (vastijpa@hotmail.com) on 2017-09-08T14:06:42Z No. of bitstreams: 1 arquivototal.pdf: 2742380 bytes, checksum: cf8f43acdec2329a5d6d78a8a373b6b7 (MD5) / Made available in DSpace on 2017-09-08T14:06:42Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2742380 bytes, checksum: cf8f43acdec2329a5d6d78a8a373b6b7 (MD5) Previous issue date: 2017-04-20 / The finding of sperm through the screening tests on samples collected from rape victims confirms the occurrence of the sexual act, but its absence usually closes biological research in the crime in question, leaving a gap about the authorship of the crime, as well as about the criminal typification. The present work aimed to analyze the need of implementation in forensic routine of Genetics Laboratories of molecular analysis of negative samples to the prostate-specific antigen (PSA) collected from sex crimes victims. Vaginal swabs were selected and proceedings collected from 200 women who have been victims of those crimes in Paraíba from January 2015 to January 2016. Such materials had been sorted and presented negative result for PSA. Proceeded to the sample quantification by Real-time PCR using the Plexor® HY kit and there was a far greater concentration of autosomal DNA in relation to the male DNA. With the use of thermal cyclers GeneAmp® PCR System 9700, 200 DNA samples extracted from the sperm fraction (SF) were amplified for Y-STR with the use of PowerPlex® Y23 Systems and AmpFlSTR® Yfiler PCR Amplification kits. Such products have been subjected to capillary electrophoresis in genetic sequencer ABI PRISM™ 3500 Genetic Analyzer and the results analyzed by GeneMapper® ID software v 3.2. The fractions analyzed, only two full profiles amplification (1%), 24 (12%) partials, while the 174 remaining samples (87%) did not present any amplification. Screening with PSA testing negative served, statistically, how to determine guiding absence of sperm in swabs of vaginal origin and anally for victims of sex crimes. However, in this study were analyzed samples from rape victims. Due to the large social call caused by this type of crime, any nonzero statistic must be acceptable to a presumptive test. The results obtained have awakened to the need to study a new way of sorting this material, as well as the repetition of some analytical steps in order to get a genetic profile informative for illicit criminal resolution. / A constatação de espermatozoides, através dos testes de triagem, em amostras coletadas de vítimas de estupro confirma a ocorrência do ato sexual, todavia a sua ausência geralmente encerra a investigação biológica no crime em questão, ficando uma lacuna quanto à autoria do delito, bem como quanto à tipificação penal. O presente trabalho objetivou analisar a necessidade de implantação na rotina dos laboratórios de genética forense da análise molecular de amostras negativas para o antígeno específico da próstata (PSA) coletadas de vítimas de crimes sexuais. Foram selecionadas swabs vaginais e anais coletados de 200 mulheres que foram vítimas desses crimes na Paraíba entre os meses de janeiro de 2015 e janeiro de 2016. Tais materiais haviam sido triados e apresentaram resultado negativo para PSA. Procedeu-se à quantificação amostral por PCR em tempo real, com uso do kit Plexor® HY e observou-se uma concentração bem maior de DNA autossômico com relação ao DNA masculino. Com uso de termocicladores GeneAmp® PCR System 9700, 200 amostras de DNA extraído das frações espermáticas (FE) foram amplificadas para Y-STR com o emprego dos sistemas PowerPlex® Y23 System e AmpFlSTR® Yfiler® PCR Amplification. Tais produtos foram submetidos à eletroforese capilar em seqüenciador genético ABI PRISM 3500™ Genetic Analyzer e os resultados analisados pelo software GeneMapper® ID v3.2. Das frações analisadas, constatou-se amplificação de apenas dois perfis completos (1%), 24 parciais (12%), enquanto as 174 amostras restantes (87%) não apresentaram amplificação alguma. O teste de triagem com PSA negativo serviu, estatisticamente, como norteador para se determinar a ausência de esperma em swabs de origem vaginal e anal das vítimas de crimes sexuais. Contudo, no presente trabalho foram analisadas amostras provenientes de vítimas de estupro. Devido ao grande apelo social provocado por esse tipo de crime, nenhuma estatística diferente de zero deve ser aceitável para um teste presuntivo. Os resultados obtidos despertaram para a necessidade de estudar uma nova forma de triagem desse material, bem como pela repetição de alguns passos analíticos no intuito de se obter um perfil genético informativo para resolução do ilícito penal.

This project is aimed toward finding DNA aptamers against prostate cancer peptide antigens. DNA aptamers can function to find and indicate the presence of certain molecules in a specimen. These aptamers will be obtained through the process of evolutionary selection, a specific process called SELEX which stands for Systemic Evolution of Ligands by Experimental Enrichment. By conducting several rounds of SELEX, a DNA aptamer will be selected to bind to a known peptide antigen. A biotinylated column will be utilized to stabilize a random library of DNA aptamers, and those peptides that bind to certain aptamers will cause a conformational change leading to the elution of those specific DNA aptamers. This SELEX process will be conducted again on the eluted aptamers to further select for strong binding DNA aptamers. The DNA aptamers that are obtained can further on be sequenced or used for prostate cancer research studies. Another possible usage of aptamers is to diagnose and determine the stage of various different cancer types. Our prediction is that this research will produce a DNA aptamer that will bind to a specific prostate cancer peptide antigen.

Plusieurs cancers sont associés à des concentrations sériques anormales de marqueurs tumoraux, tels que le prostate specific antigen (PSA) dans le cancer de prostate, l’alfafoetoproteine (AFP) ou l’human chorionic gonadotrophin (hCG) dans les tumeurs germinales ou les maladies trophoblastiques gestationnelles (MTG). Le traitement du cancer doit s’accompagner d’une chute de leurs concentrations. Les valeurs prédictives de nombreux paramètres cinétiques censés caractériser la décroissance des marqueurs ont été publiées dans la littérature (nadir, valeur seuil, demi-vie, temps à normalisation etc…) Cependant très peu de ces paramètres sont utilisés en pratique par manque de reproductibilité. La modélisation en approche de cinétique de population, déjà utilisée dans les études pharmacocinétiques, permettrait de caractériser de façon dynamique la décroissance des marqueurs tumoraux sériques et de compenser les limites des autres méthodes. Nous avons étudié la faisabilité et l’intérêt de cette approche dans 4 études portant sur le PSA après chirurgie d’adénome ou de cancer de la prostate, l’hCG-AFP dans les tumeurs germinales non-séminomateuses traitées par polychimiothérapie de type Bléomycine-Etoposide- Cisplatine (BEP) et l’hCG dans les MTG traitées par méthotrexate. La modélisation de la décroissance des marqueurs tumoraux a été possible dans toutes les études en adaptant la méthodologie aux spécificités de chaque marqueur. Il apparaît que les clairances apparentes du PSA et de l’hCG permettraient d’identifier les patients ayant des profils cinétiques défavorables et donc à haut risque de rechute. Des études de validation sur des cohortes indépendantes sont nécessaires / Several cancers are associated with abnormal serum concentrations of tumor markers such as prostate specific antigen (PSA) in prostate tumor diseases, alfa-fetoprotein (AFP) or human chorionic gonadotrophin (hCG) in germ cell tumors or persistent gestational trophoblastic diseases (GTD). Cancer treatment should induce decline of serum tumor marker concentrations. The predictive values of many kinetic parameters supposed to characterize tumor marker declines such as nadir, time-point cutoff, half-life, time to normalization etc…, have been reported in previous studies. However very few of them have been used in routine due to the lack of outcome reproducibility. Population pharmacokinetic approach-based modeling is already used in pharmacokinetic studies. It might be helpful to characterize tumor marker decline equations dynamically and overcome limitations of previous studies. The feasibility and the relevance of this approach were assessed in 4 studies involving: PSA titers in patients with prostate adenoma or cancer treated with surgery; hCG-AFP in non-seminomatous germ cell tumor patients treated with BEP regimen (Bleomycin-Etoposide-Cisplatin) and hCG in GTD patients treated with methotrexate. Tumor marker decline modeling was feasible in all studies provided the methodology was adjusted to marker specificities. Apparent clearance of hCG and PSA might enable identification of patients with unfavorable decline profiles and thereby with high risk of relapse. Confirmatory studies with independent cohorts of patients are warranted

This PhD aimed to elucidate the mechanisms by which polymorphisms may alter androgen-induced transactivation of androgen receptor (AR) target genes which may be important in prostate cancer aetiology. The second aspect of this PhD focused on identifying and characterising functional polymorphisms that may have utility as predictive risk indicators for prostate cancer and which may aid in earlier therapeutic intervention and better disease management. Analyses were carried out on the kallikrein-related peptidase 3 (KLK3), also known as the prostate specific antigen (PSA), gene and the kallikrein-related peptidase 4 (KLK4) gene. The PSA and KLK4 genes are part of the serine protease family that have trypsin or chymotrypsin like activity and are thought to play a role in the development of hormone-dependent cancers in tissues such as those in the prostate, breast, endometrium and ovaries. In the prostate, PSA is regulated by androgens and three androgen response elements (AREs) have been described in the promoter and upstream enhancer region. The PSA ARE I harbours a polymorphism at -158 bp from the transcription initiation site (TIS) that results in a G to A transition (G-158A). This PhD investigated the functional significance of the PSA G-158A polymorphism which has been reported to be associated with prostate cancer risk. Electromobility shift assays (EMSAs) investigating the interaction of ARE I variants with the AR DNA binding domain (AR-DBD) demonstrated that the A allele had a two-fold increased binding affinity for the AR-DBD when compared with the G allele. This was confirmed with endogenous AR in limited proteolysis-EMSA experiments. The limited proteolysis-EMSA experiments also demonstrated differential sensitivities of PSA ARE I alleles to trypsin digestion, which suggests that the G-158A polymorphism has an allosteric effect on the AR that alters AR/ARE I complex stability. Furthermore, Chromatin Immunoprecipitation (ChIP) assays suggest that the A allele more readily recruited the AR in vivo when compared with the G allele and is consistent with the in vitro binding data. Luciferase reporter assays carried out in both LNCaP and 22Rv1 prostate cancer cells, and using the natural (dihydrotestosterone; DHT) ligand demonstrated that the A allele was more responsive to androgens in LNCaP cells. Hence, this study has elucidated the potential mechanisms by which the G-158A polymorphism may differentially regulate PSA expression (of which up-regulation of PSA is thought to be important in prostate cancer development and progression). KLK4 has similar tissue-restricted expression as PSA and is up-regulated by steroid hormones in many endocrine cells including those in the prostate. A putative ARE (KLK4-pARE) located at -1,005 to -1019 relative to the more predominantly used transcription initiation site, TIS3, was initially found in supershift assays using AR antibodies to interact with endogenous AR. However, subsequent EMSA analysis using purified AR-DBD suggest that KLK4-pARE may be interacting with the AR indirectly. To investigate this hypothesis, a tandem construct of KLK4-pARE was cloned into the pGL3-Promoter vector for hormone-induced reporter assays. However, reporter assays did not demonstrate any responsiveness of KLK4-pARE to androgens, estradiol or progestins. Consequently, Real-Time PCR was carried out to reassess the hormonal regulation of KLK4 at the mRNA level. Consistent with the literature, data from this study suggests that KLK4 may be up-regulated by androgens, progestins and estradiol in a cyclical manner. Hormone-induced luciferase reporter assays were then carried out on seven promoter constructs that span 2.8 kb of the KLK4 promoter from TIS3. However, none of the seven promoter constructs demonstrated any significant responsiveness to androgens, estradiol or progestins. This study suggests that hormone response elements (HREs) that may drive the hormonal regulation of KLK4 in prostate cancer may be located further upstream from the promoter region investigated in this PhD, or alternatively, may lie 3' of TIS3. The characterisation of KLK4 promoter polymorphisms and their flanking sequences were also carried out in parallel to the functional work with the intent to assess the functional significance of any polymorphisms that may be located within HREs. In total 19 polymorphisms were identified from the public databases and from direct sequencing within 2.8 kb of the KLK4 promoter from TIS3. However, the functional and clinical significance of these 19 polymorphisms were not further pursued given the negative findings from the functional work. The PSA AR enhancer region was also assessed for potential polymorphisms that may be associated with prostate cancer risk. A total of 12 polymorphisms were identified in the PSA enhancer of which two (A-4643G and T-5412C) have been reported to alter functionality of the enhancer region and thus, prioritised for further analysis. Association analysis for prostate cancer risk was then carried out on these PSA enhancer polymorphisms as none of the KLK4 promoter polymorphisms were found in functional HREs. No significant association for either the A-4643G or T-5412C polymorphism with prostate cancer risk was found at the P = 0.05 level. However, under an age-adjusted dominant model a 1.22- (95% CI = 1.16-1.26) and 1.23-fold (95% CI = 1.17-1.29) increased risk for prostate cancer was found for the A-4643G or T-5412C polymorphisms, respectively. Both polymorphisms were also assessed for association with tumour grade and stage and PSA levels. Genotypes were significantly different for the A-4643G and T-5412C polymorphisms with tumour stage and PSA levels, respectively. However, these results are likely to be biased by the case population which consist primarily of men who presented with incidental (pT1) and organ-confined (pT2) tumours. To summarise, the A-4643G and T-5412C polymorphisms are unlikely to be associated with prostate cancer risk, PSA levels or stage/grade of disease. However, further analyses in a larger cohort is warranted given that these polymorphisms alter androgen responsiveness of the PSA enhancer and that elevated PSA levels are indicative of men with prostate cancer. To summarise, this PhD has elucidated the functional significance of the PSA G-158A polymorphism in prostate cancer and which may be important in prostate cancer patho-physiology. This PhD has also furthered the understanding of the hormonal regulation of KLK4 in prostate cancer cells. Finally, this PhD has carried out a pilot study on two functional PSA enhancer polymorphisms (A-4643G and T-5412C) with prostate cancer risk.

At present, prostate cancer is a significant public health issue throughout the world and is the second leading cause of cancer deaths in older men. The prostate specific antigen or PSA (which is encoded by the kallikrein 3/KLK3 gene) test is the current most valuable tool for the diagnosis and management of prostate cancer. However, it is insufficiently sensitive and specific for early diagnosis, for staging of prostate cancer or for discriminating between benign prostatic hyperplasia (BPH) and prostate cancer. Recent research has revealed another potential tumour marker, glandular kallikrein 2 (KLK2 gene/hK2 protein), which may be used alone or in conjunction with PSA to overcome some of the limitations of the PSA test. Twelve new kallikrein gene family members have been recently identified and, like hK2 and PSA, many of these genes have been suggested to be involved in carcinogenesis. In this study, the cellular localisation and level of expression of several of these newer kallikreins (KLK4, KLK5, KLK7, KLK8 and KLK11) was examined in prostate tissue, to provide an understanding of the association of their expression with prostatic diseases and their potential as additional biomarkers. Like PSA and hK2, the present observation indicated that each of these proteins, hK4, hK5, hK7, hK8 and hK11, was detected within the cytoplasm of the secretory cells of the prostate glands. For the first time, all of these newly-identified proteins were shown to be expressed in prostatic intraepithelial neoplasia (PIN) lesions, in comparison to normal glands and cancer lesions. In addition to cytoplasmic secretory cell expression, the localisation of hK4 to the basal cells and nuclei in prostatic lesions was intriguing. The intensity of hK4 staining in prostate tissue was strongest in comparison to the other newly-identified kallikrein proteins (hK5, hK7, hK8 and hK11). Therefore, KLK4/hK4 expression was characterised further to define this cellular localisation and examined in non-prostatic tissue and also in a larger number of prostate tissues in an attempt to determine its potential value as a biomarker for prostate disease. Three hK4 antipeptide polyclonal antibodies, derived against N-terminal, mid-region and C-terminal hK4 amino acid sequences, were used. The hK4 N-terminal antipeptide antibody was used to demonstrate the cellular localisation of hK4 in kidney, salivary glands, liver, testis, colon carcinoma, heart, endometrium and ovarian cancer, for the first time. The presence of hK4 in these non-prostate tissues was consistent with the previous reports using RT-PCR. The dual cytoplasmic and nuclear localisation of hK4 observed in the prostate above was also seen in these tissues. Although hK4 was found widely expressed in many human tissue types, indicating that it is not prostate specific in its expression, the highest expression level of hK4 was seen in the prostate. Therefore, detailed expression patterns and levels of KLK4 mRNA and hK4 protein in the normal prostate and prostatic diseases and histopathological lesions were investigated and reported for the first time in this study. Twelve benign prostatic hyperplasia (BPH), 19 adenocarcinoma (Gleason grade 2-5) and 34 bone metastases from prostate cancer were analysed. Using in situ hybridisation, the expression of KLK4 mRNA was detected in the cytoplasm of the secretory cells of both normal and diseased prostate tissue. KLK4 mRNA was also noted in both secretory and basal cells of PIN lesions, but the basal cells of normal glands were negative. Using the hK4 N-terminal and mid-region antipeptide antibodies, hK4 was predominantly localised in the cytoplasm of the secretory cells. The intensity of hK4 staining appeared lowest in normal and BPH, and increased in PIN lesions, high Gleason grade prostate cancer and bone metastases indicating the potential of hK4 as a histopathological marker for prostatic neoplasias. Further studies are required with a larger cohort to determine its utility as a clinical biomarker. Small foci of atypical cells, which were found within normal glands, were also intensely stained. Surprisingly, hK4 protein was found in the nucleus of the secretory cells (but not the basal cells) of high grade PIN and Gleason grade 3 prostate cancer. The detection of KLK4 mRNA and hK4 protein in PIN lesions and small foci of atypical cells suggests that up-regulation of KLK4 expression occurs early in the pathology of prostate carcinogenesis. The finding of basal cell expression is not typical for the kallikreins and it is not clear what role hK4 would play in this cell type. With the use of the hK4 C-terminal antipeptide antibody, the staining was mainly localised in the nuclei of the secretory cells of the prostate glands. Although the nuclear localisation was readily noted in more than 90% of epithelial cells of the prostate gland with the C-terminal antibody, no difference in staining intensity was observed among the histopathological lesions of the prostate. The prominent nuclear localisation with the C-terminal antipeptide antibody was also shown to be distributed throughout the nucleus by using confocal microscopy. Further, by using gold-labelled particles for electron microscopy, the intracellular localisation of these hK4 antipeptide antibodies was reported here for the first time. Similar to the immunohistochemical results, the cytoplasm was the major site of localisation with the N-terminal and mid-region antipeptide antibodies. To further characterise the involvement of KLK4/hK4 in human prostate cancer progression, the transgenic adenocarcinoma mouse prostate (TRAMP) model was used in this study. In this study, mouse KLK4 (also known as enamel matrix serine protease -1, EMSP-1) was shown to be expressed in the TRAMP prostate for the first time. Previous studies had only shown the developing tooth as a site of expression for EMSP-1. The level of EMSP-1 mRNA expression was increased in PIN and prostate cancer lesions of the TRAMP model, while negative or low levels of EMSP-1 mRNA were seen in normal glands or in control mouse prostate tissue. The normal mouse prostate did not stain with any the three hK4 antipeptide antibodies. hK4 N-terminal and mid-region antipeptide antibodies showed positive staining in the cytoplasm of the epithelial cells of PIN and cancer lesions of the mouse prostate. The C-terminal antipeptide antibody showed distinctively nuclear staining and was predominantly localised in the nuclei of the glandular cells of PIN and cancer lesions of the mouse prostate. The expression patterns of both the mRNA and protein level for mouse KLK4 strongly supported the observations of KLK4/hK4 expression in the human prostate and further support the utility of the TRAMP model. Overall, the findings in this thesis indicate a clear association of KLK4/hK4 expression with prostate cancer progression. In addition, several intriguing findings were made in terms of cellular localisation (basal as well as secretory cells; nuclear and cytoplasmic) and high expression in atypical glandular cells and PIN, perhaps indicating an early involvement in prostate disease progression and, additionally, utility as basal cell and PIN histological markers. These findings provide the basis for future studies to confirm the utility of hK4 as a biomarker for prostate cancer progression and identify functional roles in the different cellular compartments.