Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata

Detalhes bibliográficos
Autor(a) principal: Neves, Adriana Freitas
Data de Publicação: 2007
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFU
Texto Completo: https://repositorio.ufu.br/handle/123456789/15771
Resumo: CHAPTER I - Prostate cancer is a common disease in the world and in some countries it is one of the main causes of male population mortality. Some molecular markers have been associated with prostate carcinogenesis. To observe changes in transcript levels of the AR, SRD5A2, KLK2, PSMA and PCA3 genes, the mRNA was analyzed in tissues with prostatic adenocarcinoma (PCa, N= 48) and benign prostatic hyperplasia (BPH, N= 25), performed through a differential multiplex RT-PCR assay. Significant differences were observed in the relative expression of these genes between cancerous and non-cancerous tissues. The optical density ratio of the cDNA amplicons between PCa and BPH for the AR gene was 1.6-fold higher for the prostatic adenocarcinoma. On the other hand, the SRD5A2 mRNA levels were associated with BPH and were 1.4-fold higher than that of PCa. For KLK2, PSMA and PCA3, the transcriptional levels were respectively, 1.9-, 1.9- and 5-fold higher in PCa than those in BPH tissues. Of the diagnostics tests carried through individually, the PCA3 gene was that presented higher sensitivity and accuracy, and the inclusion of the serum PSA improved the sensitivity (of 76 to 92%), positive preditive value (of 85 to 94%), negative preditive value (of 60 to 62%) and accuracy (of 74 to 78%). The results suggest that the higher AR, KLK2, PSMA, and PCA3 and/or reduced SRD5A2 genes expression in prostatic tissues may indicate the occurrence of prostate adenocarcinoma; however the PCA3 and serum PSA analysis together are highly promising as auxiliary method in the diagnosis of this cancer. CHAPTER II - Purpose: Prostate cancer (PCa) is the most commonly diagnosed malignancy in men, and it consists of multifactorial and multifocal events. Due to the complexity of the disease process, which includes genome alterations, local invasion, micrometastatic cell extravasations to circulation, invasion of secondary organ tissues, and resistance to hormonal blockage, many markers must be used to represent the multiple and variable events that lead to cancer development. The low specificity of the unique serum marker for prostate cancer diagnostics, PSA, has leaded us to investigate four potential markers in the peripheral blood of patients by detecting their mRNA levels and associating them to clinical parameters. Methods: The expression levels of the KLK2, KLK3, PCA3 and PSMA transcripts were determined by Nested RT-PCR. Patients with PCa (99) and with benign prostatic hyperplasia (BPH, 36), and healthy volunteers (104) were investigated. Results: Significant differences for the RNA relative levels have been found for the KLK2, PCA3 and PSMA transcripts between PCa and BPH patients or healthy volunteers. The KLK2 and PSMA levels also presented a positive association (P<0.05) with extra-prostatic disease (pT3). The combined positive RT-PCR Nested for the KLK2, PCA3, PSMA genes with serum PSA higher than 4ng/mL presented a 10-fold higher chance of cancer occurrence than healthy controls, with sensitivity, specificity and positive predictive value of 57%, 89% and 93%, respectively. Conclusions: The combined analysis of KLK2, PCA3 and PSMA transcripts may become a useful tool for the discrimination of PCa patients from those with benign disease or healthy individuals. Additionally, the KLK2 and PSMA transcripts may also be used as prognostic markers for the presence of extra-capsular disease and assisting in the prediction of the post-operative outcome. CHAPTER III - Purpose: Transcripts of PCA3/DD3 gene are at the moment the most specific molecule found in prostate cancer specimens. This mRNA can be detected in important sample targets for clinical analyses, such as prostatic tissues, urine after prostatic massage, and the peripheral blood. Methods: The present study evaluated the PCA3 gene expression in prostatic tissues and in peripheral blood of BPH and PCa patients, by RT-PCR assays, and based on its detection together with other clinical parameters, we proposed a model for molecular monitoring in order to improve diagnosis as an auxiliary technology. Results: The concomitant use of PCA3 transcript detection in the peripheral blood and in prostate tissues has improved diagnosis, with sensitivity and an accuracy of 77%. For the molecular staging, patients have been classified as: localized disease (PBL-; negative PCA3) and circulating tumors cells disease (PBL+; positive PCA3). The higher frequencies of PBL- had been observed in T1-T2 stages (75%); on the other hand, the higher PCA3 positivity was observed for the T3-T4 staging (43%), while the T1-T2 stages presented 25% positivity. A correlation was found between the molecular staging and serum PSA < 10ng/mL before surgery, and approximately 60% of patients with T3-T4 stages that presented biochemical failure after radical prostatectomy presented a positive PCA3 result (P= 0.05), with an odds ratio of 16-fold higher for the possibility of disease recurrence in relation to the T1-T2 patients, and an accuracy of 82%. Conclusion: These data demonstrated the importance of the PCA3 gene as an auxiliary method in prostate cancer diagnosis, by distinguishing PCa from BPH patients, and also demonstrated its prognostic value in recurrent disease for post-operative patients. CHAPTER IV - Approximately 98% of all the products transcribed in the human genome correspond to non coding RNAs (ncRNA). Many ncRNA functions are attributed to this structural particularity given mainly for the secondary structures formed from its linear sequence of bases. Among the ncRNA types are tRNA, rRNA, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) and catalytic RNAs (ribozymes). The bioinformatics has supplied useful tools in the prediction of optimal or suboptimal secondary structures allowing the design of interference RNA as miRNAs or siRNAs. In human, miRNAs have been associated with the development of diverse complex diseases as cancer. The PCA3 (DD3) gene was molecularly characterized as cancer and prostate specific, and its transcripts are non-coding, once no peptide products have been found. Due to its structural characteristics, the PCA3 gene belongs thus to the increasing family of ncRNA. In the present work, four new variant molecules of the PCA3 gene have been sequence characterized and their frequencies demonstrated in prostate cancer and in benign prostatic hyperplasia patients, as well as in healthy individuals. We have also investigated and predicted the putative secondary structures formed in order to elucidate its role in prostate cancer biology. No association has been found between the frequency of these molecules and prostate pathologies (PCa or BPH). On the other hand, PCA3 variants were found in 10% (12/115) of cases in the general population. Similar analyses of the possible polypeptides of these molecules demonstrated that it remains as a non-coding RNA, and introns presents in the first, second and fourth variants suggesting a possible role as a miRNA with intracellular activity to these molecules to the PCA3 gene. In prostatic tissues, 100% of the prostate cancer cases presented the RNA molecule with an exon 2 splicing. However, further investigation must be carried out to demonstrate the true role of these splicing variants in prostate tumors and in other pathologies, once these molecules have been preferentially found in the peripheral blood.
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spelling Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstataARSRD5A2KLK2PSMAPCA3RT-PCR multiplexExpressão gênicaCâncer de próstataHiperplasia prostática benignaMarcadores molecularesSangue periféricoHiperplasia benignaPróstataGene expressionProstate cancerBenign prostatic hyperplasiaRT-PCRMolecular markersPeripheral bloodPCA3/DD3RT-PCRBenign hyperplasiaRNA foldingCNPQ::CIENCIAS BIOLOGICAS::GENETICACHAPTER I - Prostate cancer is a common disease in the world and in some countries it is one of the main causes of male population mortality. Some molecular markers have been associated with prostate carcinogenesis. To observe changes in transcript levels of the AR, SRD5A2, KLK2, PSMA and PCA3 genes, the mRNA was analyzed in tissues with prostatic adenocarcinoma (PCa, N= 48) and benign prostatic hyperplasia (BPH, N= 25), performed through a differential multiplex RT-PCR assay. Significant differences were observed in the relative expression of these genes between cancerous and non-cancerous tissues. The optical density ratio of the cDNA amplicons between PCa and BPH for the AR gene was 1.6-fold higher for the prostatic adenocarcinoma. On the other hand, the SRD5A2 mRNA levels were associated with BPH and were 1.4-fold higher than that of PCa. For KLK2, PSMA and PCA3, the transcriptional levels were respectively, 1.9-, 1.9- and 5-fold higher in PCa than those in BPH tissues. Of the diagnostics tests carried through individually, the PCA3 gene was that presented higher sensitivity and accuracy, and the inclusion of the serum PSA improved the sensitivity (of 76 to 92%), positive preditive value (of 85 to 94%), negative preditive value (of 60 to 62%) and accuracy (of 74 to 78%). The results suggest that the higher AR, KLK2, PSMA, and PCA3 and/or reduced SRD5A2 genes expression in prostatic tissues may indicate the occurrence of prostate adenocarcinoma; however the PCA3 and serum PSA analysis together are highly promising as auxiliary method in the diagnosis of this cancer. CHAPTER II - Purpose: Prostate cancer (PCa) is the most commonly diagnosed malignancy in men, and it consists of multifactorial and multifocal events. Due to the complexity of the disease process, which includes genome alterations, local invasion, micrometastatic cell extravasations to circulation, invasion of secondary organ tissues, and resistance to hormonal blockage, many markers must be used to represent the multiple and variable events that lead to cancer development. The low specificity of the unique serum marker for prostate cancer diagnostics, PSA, has leaded us to investigate four potential markers in the peripheral blood of patients by detecting their mRNA levels and associating them to clinical parameters. Methods: The expression levels of the KLK2, KLK3, PCA3 and PSMA transcripts were determined by Nested RT-PCR. Patients with PCa (99) and with benign prostatic hyperplasia (BPH, 36), and healthy volunteers (104) were investigated. Results: Significant differences for the RNA relative levels have been found for the KLK2, PCA3 and PSMA transcripts between PCa and BPH patients or healthy volunteers. The KLK2 and PSMA levels also presented a positive association (P<0.05) with extra-prostatic disease (pT3). The combined positive RT-PCR Nested for the KLK2, PCA3, PSMA genes with serum PSA higher than 4ng/mL presented a 10-fold higher chance of cancer occurrence than healthy controls, with sensitivity, specificity and positive predictive value of 57%, 89% and 93%, respectively. Conclusions: The combined analysis of KLK2, PCA3 and PSMA transcripts may become a useful tool for the discrimination of PCa patients from those with benign disease or healthy individuals. Additionally, the KLK2 and PSMA transcripts may also be used as prognostic markers for the presence of extra-capsular disease and assisting in the prediction of the post-operative outcome. CHAPTER III - Purpose: Transcripts of PCA3/DD3 gene are at the moment the most specific molecule found in prostate cancer specimens. This mRNA can be detected in important sample targets for clinical analyses, such as prostatic tissues, urine after prostatic massage, and the peripheral blood. Methods: The present study evaluated the PCA3 gene expression in prostatic tissues and in peripheral blood of BPH and PCa patients, by RT-PCR assays, and based on its detection together with other clinical parameters, we proposed a model for molecular monitoring in order to improve diagnosis as an auxiliary technology. Results: The concomitant use of PCA3 transcript detection in the peripheral blood and in prostate tissues has improved diagnosis, with sensitivity and an accuracy of 77%. For the molecular staging, patients have been classified as: localized disease (PBL-; negative PCA3) and circulating tumors cells disease (PBL+; positive PCA3). The higher frequencies of PBL- had been observed in T1-T2 stages (75%); on the other hand, the higher PCA3 positivity was observed for the T3-T4 staging (43%), while the T1-T2 stages presented 25% positivity. A correlation was found between the molecular staging and serum PSA < 10ng/mL before surgery, and approximately 60% of patients with T3-T4 stages that presented biochemical failure after radical prostatectomy presented a positive PCA3 result (P= 0.05), with an odds ratio of 16-fold higher for the possibility of disease recurrence in relation to the T1-T2 patients, and an accuracy of 82%. Conclusion: These data demonstrated the importance of the PCA3 gene as an auxiliary method in prostate cancer diagnosis, by distinguishing PCa from BPH patients, and also demonstrated its prognostic value in recurrent disease for post-operative patients. CHAPTER IV - Approximately 98% of all the products transcribed in the human genome correspond to non coding RNAs (ncRNA). Many ncRNA functions are attributed to this structural particularity given mainly for the secondary structures formed from its linear sequence of bases. Among the ncRNA types are tRNA, rRNA, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) and catalytic RNAs (ribozymes). The bioinformatics has supplied useful tools in the prediction of optimal or suboptimal secondary structures allowing the design of interference RNA as miRNAs or siRNAs. In human, miRNAs have been associated with the development of diverse complex diseases as cancer. The PCA3 (DD3) gene was molecularly characterized as cancer and prostate specific, and its transcripts are non-coding, once no peptide products have been found. Due to its structural characteristics, the PCA3 gene belongs thus to the increasing family of ncRNA. In the present work, four new variant molecules of the PCA3 gene have been sequence characterized and their frequencies demonstrated in prostate cancer and in benign prostatic hyperplasia patients, as well as in healthy individuals. We have also investigated and predicted the putative secondary structures formed in order to elucidate its role in prostate cancer biology. No association has been found between the frequency of these molecules and prostate pathologies (PCa or BPH). On the other hand, PCA3 variants were found in 10% (12/115) of cases in the general population. Similar analyses of the possible polypeptides of these molecules demonstrated that it remains as a non-coding RNA, and introns presents in the first, second and fourth variants suggesting a possible role as a miRNA with intracellular activity to these molecules to the PCA3 gene. In prostatic tissues, 100% of the prostate cancer cases presented the RNA molecule with an exon 2 splicing. However, further investigation must be carried out to demonstrate the true role of these splicing variants in prostate tumors and in other pathologies, once these molecules have been preferentially found in the peripheral blood.Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDoutor em Genética e BioquímicaCAPÍTULO I - O câncer de próstata é uma doença comum no mundo e já assumiu em alguns países uma das principais causas de mortalidade da população masculina. Vários marcadores moleculares têm sido associados à gênese do câncer de próstata. A fim de demonstrar a expressão diferencial dos níveis transcricionais dos genes AR, SRD5A2, KLK2, PSMA e PCA3 em doenças prostáticas, o RNAm foi analisado em tecidos com adenocarcinoma prostático (CaP, N= 48) e hiperplasia prostática benigna (HPB, N= 25) por meio da técnica RT-PCR multiplex semi-quantitativa. Foram observadas diferenças significativas na expressão relativa desses genes entre os tecidos cancerosos e nãocancerosos. A taxa de densidade ótica entre os amplicons para cDNA provenientes do gene AR foi 1.6 vezes maior no adenocarcinoma prostático. Por outro lado, os níveis de RNAm do gene SRD5A2 foi associado com a HPB e foi 1.4 vezes maior do que no CaP. Para os genes KLK2, PSMA e PCA3, os níveis transcricionais foram respectivamente, 1.9, 1.9 e 5 vezes maior no câncer comparado a tecidos benignos. Dos testes diagnósticos realizados, o gene PCA3 individualmente foi o que apresentou as melhores sensibilidade e acurácia, sendo que a inclusão das medidas de PSA sérico melhorou a sensibilidade (de 76 para 92%), o valor preditivo positivo (de 85 para 94%), o valor preditivo negativo (de 60 para 62%) e a acurácia (de 74 para 78%). Os dados sugerem que a maior expressão dos genes AR, KLK2, PSMA e PCA3 ou expressão reduzida do gene SRD5A2 em tecidos prostáticos podem indicar a ocorrência do adenocarcinoma da próstata, sendo que as análises do gene PCA3 juntamente aos do PSA sérico são altamente promissores como método auxiliar no diagnóstico desse tipo de câncer. CAPÍTULO II - O câncer de próstata (CaP) e o mais comumente diagnosticado na população masculina e consiste de eventos multifatoriais e multifocais. Devido a complexidade da doença, a qual inclui alterações genômicas, invasão local, liberação de células micrometastáticas para a circulação, invasão secundaria de tecidos de outros órgãos, e resistência ao bloqueio hormonal, muitos marcadores podem ser usados para representar os eventos múltiplos e variáveis que levam ao desenvolvimento do câncer. A baixa especificidade do único marcador para diagnostico do câncer de próstata, PSA, tem nos levado a investigar quatro potenciais marcadores no sangue periférico de pacientes pela detecção de seus níveis de RNAm e associá-los a parâmetros clínicos. Os níveis de expressão dos transcritos do KLK2, KLK3, PCA3 e PSMA foram avaliados pela RT-PCR Nested, em pacientes com CaP (99), com hiperplasia prostática benigna (HPB, 36) e voluntários saudáveis (104). Diferenças significativas foram encontradas para a expressão dos genes KLK2, PSMA e PCA3 entre os pacientes com CaP e os pacientes com HPB ou voluntários saudáveis. Os níveis do KLK2 e PSMA também apresentaram associação positiva (P<0.05) com doença extra-prostática (pT3). A RT-PCR Nested positiva combinada para os genes KLK2, PCA3 e PSMA com PSA sérico maior que 4ng/mL apresentou uma chance 10 vezes maior de ocorrência do câncer comparado aos controles saudáveis, com sensibilidade, especificidade e acurácia de 57%, 89% e 93%, respectivamente. A análise combinada dos genes KLK2, PCA3 e PSMA pode ser uma ferramenta útil na distinção de pacientes com CaP daqueles com doença benigna ou de indivíduos saudáveis. Ainda, a analise dos transcritos KLK2 e PSMA podem ser usados como marcadores prognósticos para a presença de doença extra-capsular e auxiliando na predição de recidiva da doença no pós-operatório. CAPÍTULO III - Os transcritos do gene PCA3/DD3 são até o momento as moléculas mais específicas encontradas em espécimes de câncer de próstata. Esses RNAm podem ser detectados em importantes alvos para a análise clínica como tecidos prostáticos, na urina após massagem prostática e em sangue periférico. O presente estudo avaliou a expressão do gene PCA3 em tecidos prostáticos e em sangue periférico de pacientes com HPB e CaP, por técnicas de RT-PCR, e baseado na sua detecção juntamente com os parâmetros clínicos, foi proposto um modelo de estadiamento molecular como técnica assessória para melhor o diagnóstico da doença. O uso concomitante da detecção dos transcritos do gene PCA3 no sangue periférico e no tecido prostático melhorou o diagnóstico, com sensibilidade e acurácia de 77%. Para o estadiamento molecular, os pacientes foram classificados como contendo a doença localizada (PBL-) e em doença com células tumorais circulantes (PBL +). Maiores freqüências de tumor localizado pelo estadiamento molecular foram observadas nos estadios T1-T2 (75%), enquanto que 25 e 43% dos cânceres T1-T2 e T3-T4, respectivamente, apresentaram PCA3 positivo (células circulantes). Uma correlação foi encontrada para o estadiamento molecular para doença localizada e PSA sérico pré-cirúrgico < 10ng/mL, e aproximadamente 60% dos pacientes TNM T3-T4 que apresentaram falha bioquímica após a cirurgia radical apresentaram RTPCR positiva do PCA3 (P= 0.05), com um Odds Ratio 16 vezes maior para a possibilidade de recorrência da doença em relação aos pacientes T1-T2 e uma acurácia de 82%. Esses dados demonstram a importância da detecção do gene PCA3 como método no diagnóstico do câncer de próstata, por distinguir pacientes com CaP daqueles com HPB, e também demonstrando seu valor prognóstico na doença recorrente no pósoperatório dos pacientes. CAPÍTULO IV - Aproximadamente 98% de todos os produtos transcritos do genoma humano correspondem a RNAs não codificantes (RNAnc). Muitas funções dos RNAnc são atribuídas a suas particularidades estruturais dadas principalmente pelas estruturas secundárias formadas a partir da sua sequência linear de bases. Dentre os tipos de RNAnc estão os RNAt, RNAr, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) e RNAs catalíticos (ribozimas). A bioinformática tem fornecido ferramentas úteis na predição de estruturas secundárias ótimas ou subótimas permitindo o design de RNAs de interferência como os miRNAs ou siRNAs. Em humanos, os miRNAs tem sido associados ao desenvolvimento de diversas doenças complexas como o câncer. O gene PCA3 (DD3) foi molecularmente caracterizado como câncer- e próstata- específico e os seus RNAs são os responsáveis por essa característica, isso porque nenhum produto protéico tem sido encontrado para esse gene. Devido às suas características estruturais, o gene PCA3, pertence assim à crescente família de RNAnc. No presente trabalho foi analisado as freqüências de quatro moléculas variantes do gene PCA3, além das anteriormente reportadas, como também foram preditas as suas estruturas secundárias na tentativa de elucidar o seu papel na biologia do câncer de próstata. Nenhuma associação foi encontrada entre a freqüência dessas moléculas e as patologias da próstata como hiperplasia benigna ou câncer, sendo que na população geral analisada essas variantes foram encontradas em apenas 10% (12/115) dos casos. As análises de homologia de possíveis polipeptídeos para essas moléculas demonstram que permanece o papel de RNA não-codificante para o gene PCA3. Ainda, a presença de introns nas variantes 1, 2 e 4 podem sugerir um papel intracelular de miRNA para essas moléculas do gene PCA3. Nos tecidos prostáticos, 100% dos casos de câncer foi representando pela molécula com splicing do exon 2. Contudo, para as variantes de splicing, novas pesquisas deverão ser realizadas incluindo outras patologias além das doenças prostáticas e outros tipos tumorais para verificar o real impacto dessas moléculas, uma vez que foram encontradas preferencialmente no sangue periférico.Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Genética e BioquímicaCiências BiológicasUFUGoulart Filho, Luiz Ricardohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781012P8Ward, Laura Sterianhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4786477U6Gimba, Etel Rodrigues Pereirahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4727071A9Loyola, Adriano Motahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4767051Z8Arap, Marco Antoniohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4790201Y0Neves, Adriana Freitas2016-06-22T18:43:33Z2007-08-092016-06-22T18:43:33Z2007-02-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdfNEVES, Adriana Freitas. Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata. 2007. 130 f. Tese (Doutorado em Ciências Biológicas) - Universidade Federal de Uberlândia, Uberlândia, 2007.https://repositorio.ufu.br/handle/123456789/15771porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2016-06-23T07:16:13Zoai:repositorio.ufu.br:123456789/15771Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2016-06-23T07:16:13Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
title Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
spellingShingle Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
Neves, Adriana Freitas
AR
SRD5A2
KLK2
PSMA
PCA3
RT-PCR multiplex
Expressão gênica
Câncer de próstata
Hiperplasia prostática benigna
Marcadores moleculares
Sangue periférico
Hiperplasia benigna
Próstata
Gene expression
Prostate cancer
Benign prostatic hyperplasia
RT-PCR
Molecular markers
Peripheral blood
PCA3/DD3
RT-PCR
Benign hyperplasia
RNA folding
CNPQ::CIENCIAS BIOLOGICAS::GENETICA
title_short Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
title_full Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
title_fullStr Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
title_full_unstemmed Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
title_sort Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata
author Neves, Adriana Freitas
author_facet Neves, Adriana Freitas
author_role author
dc.contributor.none.fl_str_mv Goulart Filho, Luiz Ricardo
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781012P8
Ward, Laura Sterian
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4786477U6
Gimba, Etel Rodrigues Pereira
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4727071A9
Loyola, Adriano Mota
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4767051Z8
Arap, Marco Antonio
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4790201Y0
dc.contributor.author.fl_str_mv Neves, Adriana Freitas
dc.subject.por.fl_str_mv AR
SRD5A2
KLK2
PSMA
PCA3
RT-PCR multiplex
Expressão gênica
Câncer de próstata
Hiperplasia prostática benigna
Marcadores moleculares
Sangue periférico
Hiperplasia benigna
Próstata
Gene expression
Prostate cancer
Benign prostatic hyperplasia
RT-PCR
Molecular markers
Peripheral blood
PCA3/DD3
RT-PCR
Benign hyperplasia
RNA folding
CNPQ::CIENCIAS BIOLOGICAS::GENETICA
topic AR
SRD5A2
KLK2
PSMA
PCA3
RT-PCR multiplex
Expressão gênica
Câncer de próstata
Hiperplasia prostática benigna
Marcadores moleculares
Sangue periférico
Hiperplasia benigna
Próstata
Gene expression
Prostate cancer
Benign prostatic hyperplasia
RT-PCR
Molecular markers
Peripheral blood
PCA3/DD3
RT-PCR
Benign hyperplasia
RNA folding
CNPQ::CIENCIAS BIOLOGICAS::GENETICA
description CHAPTER I - Prostate cancer is a common disease in the world and in some countries it is one of the main causes of male population mortality. Some molecular markers have been associated with prostate carcinogenesis. To observe changes in transcript levels of the AR, SRD5A2, KLK2, PSMA and PCA3 genes, the mRNA was analyzed in tissues with prostatic adenocarcinoma (PCa, N= 48) and benign prostatic hyperplasia (BPH, N= 25), performed through a differential multiplex RT-PCR assay. Significant differences were observed in the relative expression of these genes between cancerous and non-cancerous tissues. The optical density ratio of the cDNA amplicons between PCa and BPH for the AR gene was 1.6-fold higher for the prostatic adenocarcinoma. On the other hand, the SRD5A2 mRNA levels were associated with BPH and were 1.4-fold higher than that of PCa. For KLK2, PSMA and PCA3, the transcriptional levels were respectively, 1.9-, 1.9- and 5-fold higher in PCa than those in BPH tissues. Of the diagnostics tests carried through individually, the PCA3 gene was that presented higher sensitivity and accuracy, and the inclusion of the serum PSA improved the sensitivity (of 76 to 92%), positive preditive value (of 85 to 94%), negative preditive value (of 60 to 62%) and accuracy (of 74 to 78%). The results suggest that the higher AR, KLK2, PSMA, and PCA3 and/or reduced SRD5A2 genes expression in prostatic tissues may indicate the occurrence of prostate adenocarcinoma; however the PCA3 and serum PSA analysis together are highly promising as auxiliary method in the diagnosis of this cancer. CHAPTER II - Purpose: Prostate cancer (PCa) is the most commonly diagnosed malignancy in men, and it consists of multifactorial and multifocal events. Due to the complexity of the disease process, which includes genome alterations, local invasion, micrometastatic cell extravasations to circulation, invasion of secondary organ tissues, and resistance to hormonal blockage, many markers must be used to represent the multiple and variable events that lead to cancer development. The low specificity of the unique serum marker for prostate cancer diagnostics, PSA, has leaded us to investigate four potential markers in the peripheral blood of patients by detecting their mRNA levels and associating them to clinical parameters. Methods: The expression levels of the KLK2, KLK3, PCA3 and PSMA transcripts were determined by Nested RT-PCR. Patients with PCa (99) and with benign prostatic hyperplasia (BPH, 36), and healthy volunteers (104) were investigated. Results: Significant differences for the RNA relative levels have been found for the KLK2, PCA3 and PSMA transcripts between PCa and BPH patients or healthy volunteers. The KLK2 and PSMA levels also presented a positive association (P<0.05) with extra-prostatic disease (pT3). The combined positive RT-PCR Nested for the KLK2, PCA3, PSMA genes with serum PSA higher than 4ng/mL presented a 10-fold higher chance of cancer occurrence than healthy controls, with sensitivity, specificity and positive predictive value of 57%, 89% and 93%, respectively. Conclusions: The combined analysis of KLK2, PCA3 and PSMA transcripts may become a useful tool for the discrimination of PCa patients from those with benign disease or healthy individuals. Additionally, the KLK2 and PSMA transcripts may also be used as prognostic markers for the presence of extra-capsular disease and assisting in the prediction of the post-operative outcome. CHAPTER III - Purpose: Transcripts of PCA3/DD3 gene are at the moment the most specific molecule found in prostate cancer specimens. This mRNA can be detected in important sample targets for clinical analyses, such as prostatic tissues, urine after prostatic massage, and the peripheral blood. Methods: The present study evaluated the PCA3 gene expression in prostatic tissues and in peripheral blood of BPH and PCa patients, by RT-PCR assays, and based on its detection together with other clinical parameters, we proposed a model for molecular monitoring in order to improve diagnosis as an auxiliary technology. Results: The concomitant use of PCA3 transcript detection in the peripheral blood and in prostate tissues has improved diagnosis, with sensitivity and an accuracy of 77%. For the molecular staging, patients have been classified as: localized disease (PBL-; negative PCA3) and circulating tumors cells disease (PBL+; positive PCA3). The higher frequencies of PBL- had been observed in T1-T2 stages (75%); on the other hand, the higher PCA3 positivity was observed for the T3-T4 staging (43%), while the T1-T2 stages presented 25% positivity. A correlation was found between the molecular staging and serum PSA < 10ng/mL before surgery, and approximately 60% of patients with T3-T4 stages that presented biochemical failure after radical prostatectomy presented a positive PCA3 result (P= 0.05), with an odds ratio of 16-fold higher for the possibility of disease recurrence in relation to the T1-T2 patients, and an accuracy of 82%. Conclusion: These data demonstrated the importance of the PCA3 gene as an auxiliary method in prostate cancer diagnosis, by distinguishing PCa from BPH patients, and also demonstrated its prognostic value in recurrent disease for post-operative patients. CHAPTER IV - Approximately 98% of all the products transcribed in the human genome correspond to non coding RNAs (ncRNA). Many ncRNA functions are attributed to this structural particularity given mainly for the secondary structures formed from its linear sequence of bases. Among the ncRNA types are tRNA, rRNA, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) and catalytic RNAs (ribozymes). The bioinformatics has supplied useful tools in the prediction of optimal or suboptimal secondary structures allowing the design of interference RNA as miRNAs or siRNAs. In human, miRNAs have been associated with the development of diverse complex diseases as cancer. The PCA3 (DD3) gene was molecularly characterized as cancer and prostate specific, and its transcripts are non-coding, once no peptide products have been found. Due to its structural characteristics, the PCA3 gene belongs thus to the increasing family of ncRNA. In the present work, four new variant molecules of the PCA3 gene have been sequence characterized and their frequencies demonstrated in prostate cancer and in benign prostatic hyperplasia patients, as well as in healthy individuals. We have also investigated and predicted the putative secondary structures formed in order to elucidate its role in prostate cancer biology. No association has been found between the frequency of these molecules and prostate pathologies (PCa or BPH). On the other hand, PCA3 variants were found in 10% (12/115) of cases in the general population. Similar analyses of the possible polypeptides of these molecules demonstrated that it remains as a non-coding RNA, and introns presents in the first, second and fourth variants suggesting a possible role as a miRNA with intracellular activity to these molecules to the PCA3 gene. In prostatic tissues, 100% of the prostate cancer cases presented the RNA molecule with an exon 2 splicing. However, further investigation must be carried out to demonstrate the true role of these splicing variants in prostate tumors and in other pathologies, once these molecules have been preferentially found in the peripheral blood.
publishDate 2007
dc.date.none.fl_str_mv 2007-08-09
2007-02-26
2016-06-22T18:43:33Z
2016-06-22T18:43:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv NEVES, Adriana Freitas. Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata. 2007. 130 f. Tese (Doutorado em Ciências Biológicas) - Universidade Federal de Uberlândia, Uberlândia, 2007.
https://repositorio.ufu.br/handle/123456789/15771
identifier_str_mv NEVES, Adriana Freitas. Variações transcricionais dos genes AR, SRD5A2, KLK2, PCA3, KLK3 e PSMA e implicações no diagnóstico molecular do câncer de próstata. 2007. 130 f. Tese (Doutorado em Ciências Biológicas) - Universidade Federal de Uberlândia, Uberlândia, 2007.
url https://repositorio.ufu.br/handle/123456789/15771
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
BR
Programa de Pós-graduação em Genética e Bioquímica
Ciências Biológicas
UFU
publisher.none.fl_str_mv Universidade Federal de Uberlândia
BR
Programa de Pós-graduação em Genética e Bioquímica
Ciências Biológicas
UFU
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFU
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Repositório Institucional da UFU
collection Repositório Institucional da UFU
repository.name.fl_str_mv Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv diinf@dirbi.ufu.br
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