Karina Marangoni

The -786T>C promoter polymorphism of the NOS3 gene is associated with prostate cancer progression

BackgroundThere is no biological or epidemiological data on the association between NOS3 promoter polymorphisms and prostate cancer. The polymorphisms in the promoter region of NOS3 gene may be responsible for variations in the plasma NO, which may promote cancer progression by providing a selective growth advantage to tumor cells by angiogenic stimulus and by direct DNA damage.MethodsThis study aimed evaluating the NOS3 promoter polymorphisms by PCR-SSCP and sequencing, associating genotypes and haplotypes with NOS3 expression levels through semi-quantitative RT-PCR, and with PCA3 mRNA detection, a specific tumor biomarker, in the peripheral blood of pre-surgical samples from 177 patients; 83 PCa and 94 BPH.ResultsThree novel SNPs were identified -764A>G, -714G>T and -649G>A in the NOS3 gene promoter region, which together with the -786T>C generated four haplotypes (N, T, C, A). NOS3 gene expression levels were affected by the -786T>C polymorphism, and there was a 2-fold increase in NOS3 levels favored by the incorporation of each C allele. NOS3 levels higher than 80% of the constitutive gene expression level (B2M) presented a 4-fold increase in PCa occurrence.ConclusionThe -786T>C polymorphism was the most important promoter alteration of the NOS3 gene that may affect the PCa progression, but not its occurrence, and the incorporation of the C allele is associated with increased levels of NOS3 transcripts. The NOS3 transcript levels presented a bimodal behavior in tumor development and may be used as a biomarker together with the PCA3 marker for molecular staging of the prostate cancer.

3D Cell-SELEX: Development of RNA aptamers as molecular probes for PC-3 tumor cell line.

Human prostate cancer (PCa) is a highly heterogeneous and multifactorial disease. Current clinical biomarkers are not sufficiently accurate, thus being unable to predict the clinical outcome. Therefore, searching for new biomarkers aiming to improve diagnosis, prognosis and therapy is still required. In this study, we performed 3D Cell-SELEX against PC-3 prostate cancer cell line, a novel strategy to select specific nucleic acid ligands against spheroid cells in 3D cell culture. This original system combines Cell-SELEX, a process that exploits the cellular structure to generate specific ligands, and 3D cell culture, an approach that mimics the tissue microenvironment in vitro. In the first round of 3D Cell-SELEX, a negative selection against RWPE-1, non-tumor cell line, was performed to subtract non-tumor specific aptamers. The supernatant was used in eight additional rounds of selection, which were performed against PC-3 cell line. After nine selection cycles, eight PC-3 specific RNA aptamers were selected and sequenced. The aptamers presented sizes between 20 and 50 nucleotides-long, with low free energy (∆G<-13.6), which contributed for their spontaneous folding and high stability. Furthermore, our results showed the aptamer A4 as a specific ligand to prostate tumor cells, with dissociation constant in the nanomolar scale. Therefore, the novel 3D Cell-SELEX procedure improved the selection of PCa cell-surface ligands and the aptamer A4 has shown potential for the identification of prostate tumor cells, suggesting the application of this molecule in further screening assays for PCa.

Transforming Growth Factor-Beta 1 Gene Polymorphisms and Expression in the Blood of Prostate Cancer Patients

The transforming growth factor beta 1 (TGF-β1) is a multifunctional cytokine with several regulatory activities in tumor cells affecting growth, differentiation, and function. Alterations in gene expression, secretion, and regulation of TGF-β1 may lead to a favorable environment for tumor development by angiogenesis stimulation and immune system suppression. We evaluated the influence of the TGFB1 polymorphisms by ARMS-PCR, Leu10Pro, and Arg25Pro, on prostate cancer (PCa) and benign prostatic hyperplasia (BPH). We assessed TGFB1 polymorphisms and their relation to mRNA levels (semi-quantitative RT-PCR) in blood samples as well as the implications in disease occurrence and progression. Peripheral blood samples from 175 patients were analyzed as to 92 BPH and 83 PCa. Samples obtained from 132 healthy males were used as negative controls. PCa patients with a Gleason score greater than 7 presented a higher frequency of the C allele (Leu10Pro). This allele was associated with a higher risk of developing PCa and BPH compared to the population (2.6 and 3.6 times higher, respectively). Patients with TGFB1 transcript levels equal to or more than 70% higher than control levels presented a 5.34 and 2.14-fold higher risk of having PCa and BPH, respectively, relative to the population. No association was detected between polymorphisms and mRNA levels. The C allele of the Leu10Pro polymorphism may predispose men to a more rapid cancer progression. Additionally, higher mRNA levels in the peripheral blood of PCa patients suggest that tumor cells may be disseminated in the circulation and could be used as a biomarker for extra-capsular invasion.

Prostate cancer antigen 3 (PCA3) RNA detection in blood and tissue samples for prostate cancer diagnosis

Abstract Background: The non-coding prostate cancer antigen 3 (PCA3) RNA is currently the most specific biomarker for prostate cancer (PCa) diagnosis. Although its clinical value has been validated in a urine assay after intensive prostatic massage, few studies have been conducted to establish its diagnostic value in the peripheral blood (PBL). The aim of the present study was to examine the PCA3 expression in blood as a diagnostic tool, and to provide an additional strategy to improve PCa diagnosis. Methods: PCA3 transcripts were detected by RT-PCR in PBL and prostatic tissues from patients. PBL sampling also included a group of young healthy volunteers. The relationship between the PCA3 RNA detection and clinical characteristics was analyzed. Results: PCA3 detection in blood presented 94% specificity and 32% sensitivity, and its combined detection in tissues significantly improved diagnostic parameters. However, PCA3 RNA detection in blood was also associated with PSA levels ≥10 ng/mL, and their combination provided a sensitivity of 60% and specificity of 93%. Conclusions: Detection of the PCA3 RNA in patients’ blood is an efficient tool for PCa diagnosis because it allows a routine collection procedure, which is also supported by the ongoing screening marker, prostate-specific antigen (PSA). We propose its combined use with PSA levels ≥10 ng/mL, which improves accuracy, and prevents overdiagnosis and overtreatment.

Dynamic dialog between cytokeratin 18 and annexin A1 in breast cancer: A transcriptional disequilibrium

Cytokeratins (CKs) constitute the cytoskeletal network and are regulated by post-translational modifications, acting not only as a mechanical support, but also in cell signaling and regulatory processes. Signaling is mediated by CK-associated proteins, such as Annexin A1 (ANXA1), a ligand of the CK18/CK8 complex. ANXA1 has a pivotal role in cellular and immunological responses, and together with CK18 have been implicated in several processes related to malignant transformation in breast cancer (BC). Our aim was to demonstrate how their interaction might be linked to BC development. We investigated transcript levels, protein expression and distribution for both targets in breast tissues of 92 patients (42 BCs and 50 benign diseases) using qPCR and immunohistochemistry, respectively. ANXA1 and CK18 mRNAs were inversely correlated, and their ratio in each TNM stage significantly differentiated BC from benign diseases (OR=5.62). These differences did not mirror tissue protein levels, but a significant dichotomous protein distribution in tumor tissues was observed, differing from the expected co-localization observed during cell homeostasis. The disequilibrium of transcriptional levels between ANXA1/CK18 and alterations in their tissue distribution are present either in initial events or tumor progression, which suggest a critical event in BC. The broken dialog between ANXA1 and CK18 in normal breast tissues may play a critical role in BC development, and together may be used as combined targets for BC diagnostics.

Prostate-specific RNA aptamer: promising nucleic acid antibody-like cancer detection

We described the selection of a novel nucleic acid antibody-like prostate cancer (PCa) that specifically binds to the single-stranded DNA molecule from a 277-nt fragment that may have been partially paired and bound to the PCA3 RNA conformational structure. PCA3-277 aptamer ligands were obtained, and the best binding molecule, named CG3, was synthesized for validation. Aiming to prove its diagnostic utility, we used an apta-qPCR assay with CG3-aptamer conjugated to magnetic beads to capture PCA3 transcripts, which were amplified 97-fold and 7-fold higher than conventional qPCR in blood and tissue, respectively. Histopathologic analysis of 161 prostate biopsies arranged in a TMA and marked with biotin-labeled CG3-aptamer showed moderate staining in both cytoplasm and nucleus of PCa samples; in contrast, benign prostatic hyperplasia (BPH) samples presented strong nuclear staining (78% of the cases). No staining was observed in stromal cells. In addition, using an apta-qPCR, we demonstrated that CG3-aptamer specifically recognizes the conformational PCA3-277 molecule and at least three other transcript variants, indicating that long non-coding RNA (lncRNA) is processed after transcription. We suggest that CG3-aptamer may be a useful PCa diagnostic tool. In addition, this molecule may be used in drug design and drug delivery for PCa therapy.

The interaction of AGT and NOS3 gene polymorphisms with conventional risk factors increases predisposition to hypertension

Renin-angiotensin and kallikrein-kinin systems are interconnected, regulating blood pressure homeostasis. We have demonstrated the interactions among polymorphisms of the angiotensinogen (AGT) and endothelial nitric oxide synthase (NOS3) genes and conventional risk factors affecting the hypertension occurrence. Individuals were recruited (n=192) and classified into hypertensive (HG; n=140) and normotensive (NG; n=52) groups. The genotypic distribution of the Met235Thr (AGT) and Glu298Asp (NOS3) polymorphisms demonstrated that both are independent risk factors of hypertension (p=0.02 and p=0.008, respectively). The concomitant presence of these polymorphisms in the HG group was significantly different (p=0.001) from the NG. Both gene polymorphisms presented an additive effect for the unfavourable alleles T and A, respectively, and 95% of the double mutant homozygotes were classified into the HG. Specific interactions among certain conventional factors and the presence of at least one unfavourable allele presented significant odds towards hypertension. Blood pressure homeostasis was affected by genetic polymorphisms conditioned by the T and A alleles of the AGT and NOS3 genes, respectively, which acted independently. However, their interaction with smoking, sedentariness, age and total cholesterol may have increased the predisposition to hypertension, which may explain most of the hypertension cases.

Advances in Cell Culture: More than a Century after Cultivating Cells

To elucidate and understand complex physiological mechanisms, in vivo research is the gold standard. However, in 1907, Harrison started the in vitro cell culture as we know today, opening a path for new assays and techniques. This was a major advance in the scientific field. The possibility to monitor cell growth, differentiation and response to any number of stimuli was a leap for drug trials and screening. More than 100 years has passed, and various cell cultures techniques were developed and perfected. Diverse culture mediums and culture conditions were elaborated to attend the scientist needs. Among those advances, three-dimensional cell culture was a major breakthrough that enables a better representation of the in vivo microenvironmental characteristics. With those continuous advances in cell culture, in vitro assays are getting more reliable providing results that better represent in vivo responses.

Gene Expression Profile of Prostate Cancer Patients by Chemiluminescent Analysis

Abstract The heterogeneous and multifactorial nature of prostate cancer that generates differential gene expression patterns in tumor cells leads us to investigate the molecular mRNA profiling of 14 genes through streptavidin-alkaline phosphatase–labeled RNA probes from tissue samples with prostate cancer and benign prostatic hyperplasia. Hybridizations were performed using cDNA amplification for each gene spotted onto positively charged nylon membranes and densitometry readings. The constitutive gene GAPDH was used to normalize the data. The methods developed in this study may be applicable to the prostate cancer diagnosis using AR, CEACAM-1, DD3 (also called PCA3), OPN-1, and PSMA significant differential expression.