932 resultados para predictive power
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Tomando como ponto de partida a relação entre música e matemática, nesta investigação temos como principal objetivo estudar a influência da aprendizagem musical no desempenho matemático. Pretendeu-se ainda observar o efeito de um conjunto de preditores no referido desempenho, mais concretamente do nível socioeconómico, da inteligência e de variáveis cognitivo-motivacionais (motivação, expectativas de autoeficácia e atribuições causais). Numa primeira parte, delineámos as linhas teóricas desta investigação. Começámos por relatar a relação entre música e matemática no âmbito da musicologia histórica, da teoria e análise musicais, da acústica e das tendências na composição musical, evidenciando os mecanismos de ligação entre elementos e conceitos musicais e tópicos e temas matemáticos. Relatámos os benefícios da exposição musical ao nível do desenvolvimento cognitivo e intelectual, destacando o aumento do raciocínio espacial, do desempenho matemático e da inteligência com a aprendizagem musical. De seguida, descrevemos o impacto das aulas de música no aumento do desempenho académico a várias disciplinas, nomeadamente a Matemática, enfatizando a associação da duração da aprendizagem musical com o aumento das capacidades matemáticas; para além do efeito da aprendizagem musical, procurámos ainda explicação de um desempenho académico melhorado com base em variáveis potenciadoras da performance, tais como o nível socioeconómico e a inteligência. Nesta linha de abordagem, explorámos os efeitos de variáveis influentes do desempenho académico fora do contexto musical, reportando-nos ao nível socioeconómico, à inteligência e às dimensões cognitivo-motivacionais (motivação, expectativas de autoeficácia e atribuições causais), destacando o poder preditivo da inteligência, seguido do nível socioeconómico e da motivação. Por fim, referimo-nos à interação entre música e encéfalo por meio das temáticas da plasticidade neural estrutural e funcional, do efeito da aprendizagem e performance musicais, da cognição musical e domínios não musicais, bem como dos fatores genéticos; sublinhamos a possibilidade de ligações entre a cognição musical e os domínios espacial e matemático. Numa segunda parte, apresentamos a investigação que desenvolvemos em contexto escolar com 112 alunos do 7º ano de escolaridade provenientes de 12 escolas do Ensino Básico. Nove são do Ensino Especializado de Música e três são do Ensino Regular. No total, as escolas enquadram-se nas zonas urbanas de Braga, Coimbra e Lisboa. O estudo possui carácter longitudinal e abrange três anos letivos, do 7º ao 9º anos de escolaridade. Após explanação dos objetivos, das hipóteses de investigação, da caracterização da amostra, da descrição dos instrumentos de avaliação e respetiva validação empírica, relatamos os resultados que encontrámos. Estes permitiram, por um lado, validar a hipótese de que os alunos submetidos ao ensino formal de música apresentam um desempenho matemático superior comparativamente aos alunos que não frequentaram este tipo de ensino (H1) e, por outro, sustentar que o número de anos de aprendizagem musical contribui para o aumento do desempenho matemático (H3). Sublinha-se, ainda, que os alunos de instrumento de teclado revelaram desempenho matemático mais elevado em relação aos seus pares que estudaram outros instrumentos. Já no que se refere ao poder preditivo do tipo de ensino (Ensino Especializado de Música vs. Ensino Regular), apurámos que a formação em música prevê melhores desempenhos a matemática; destaca-se que as variáveis em estudo, tais como o nível socioeconómico, a motivação, as expectativas de autoeficácia e a inteligência adicionam capacidade explicativa do desempenho matemático, sendo que a presença da aprendizagem musical perdeu aptidão preditiva apenas na presença da inteligência. Contudo, após controlo estatístico da inteligência, foi possível concluir que a aprendizagem musical mantém o poder preditivo no desempenho matemático (H2). Os resultados permitiram identificar em que tópicos e temas matemáticos relacionados com os elementos e conceitos musicais os alunos com aprendizagem musical apresentam melhores desempenhos, evidenciando-se os tópicos no âmbito da Geometria (H4). Observámos, também, que é possível prever o desempenho matemático a partir do raciocínio espacial dos alunos (H5). Finalmente, referimos as limitações, refletimos sobre as implicações que estes resultados poderão trazer no âmbito do ensino da música em Portugal e apontamos pistas conducentes ao desenvolvimento de investigações futuras.
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This thesis reports the application of metabolomics to human tissues and biofluids (blood plasma and urine) to unveil the metabolic signature of primary lung cancer. In Chapter 1, a brief introduction on lung cancer epidemiology and pathogenesis, together with a review of the main metabolic dysregulations known to be associated with cancer, is presented. The metabolomics approach is also described, addressing the analytical and statistical methods employed, as well as the current state of the art on its application to clinical lung cancer studies. Chapter 2 provides the experimental details of this work, in regard to the subjects enrolled, sample collection and analysis, and data processing. In Chapter 3, the metabolic characterization of intact lung tissues (from 56 patients) by proton High Resolution Magic Angle Spinning (HRMAS) Nuclear Magnetic Resonance (NMR) spectroscopy is described. After careful assessment of acquisition conditions and thorough spectral assignment (over 50 metabolites identified), the metabolic profiles of tumour and adjacent control tissues were compared through multivariate analysis. The two tissue classes could be discriminated with 97% accuracy, with 13 metabolites significantly accounting for this discrimination: glucose and acetate (depleted in tumours), together with lactate, alanine, glutamate, GSH, taurine, creatine, phosphocholine, glycerophosphocholine, phosphoethanolamine, uracil nucleotides and peptides (increased in tumours). Some of these variations corroborated typical features of cancer metabolism (e.g., upregulated glycolysis and glutaminolysis), while others suggested less known pathways (e.g., antioxidant protection, protein degradation) to play important roles. Another major and novel finding described in this chapter was the dependence of this metabolic signature on tumour histological subtype. While main alterations in adenocarcinomas (AdC) related to phospholipid and protein metabolisms, squamous cell carcinomas (SqCC) were found to have stronger glycolytic and glutaminolytic profiles, making it possible to build a valid classification model to discriminate these two subtypes. Chapter 4 reports the NMR metabolomic study of blood plasma from over 100 patients and near 100 healthy controls, the multivariate model built having afforded a classification rate of 87%. The two groups were found to differ significantly in the levels of lactate, pyruvate, acetoacetate, LDL+VLDL lipoproteins and glycoproteins (increased in patients), together with glutamine, histidine, valine, methanol, HDL lipoproteins and two unassigned compounds (decreased in patients). Interestingly, these variations were detected from initial disease stages and the magnitude of some of them depended on the histological type, although not allowing AdC vs. SqCC discrimination. Moreover, it is shown in this chapter that age mismatch between control and cancer groups could not be ruled out as a possible confounding factor, and exploratory external validation afforded a classification rate of 85%. The NMR profiling of urine from lung cancer patients and healthy controls is presented in Chapter 5. Compared to plasma, the classification model built with urinary profiles resulted in a superior classification rate (97%). After careful assessment of possible bias from gender, age and smoking habits, a set of 19 metabolites was proposed to be cancer-related (out of which 3 were unknowns and 6 were partially identified as N-acetylated metabolites). As for plasma, these variations were detected regardless of disease stage and showed some dependency on histological subtype, the AdC vs. SqCC model built showing modest predictive power. In addition, preliminary external validation of the urine-based classification model afforded 100% sensitivity and 90% specificity, which are exciting results in terms of potential for future clinical application. Chapter 6 describes the analysis of urine from a subset of patients by a different profiling technique, namely, Ultra-Performance Liquid Chromatography coupled to Mass Spectrometry (UPLC-MS). Although the identification of discriminant metabolites was very limited, multivariate models showed high classification rate and predictive power, thus reinforcing the value of urine in the context of lung cancer diagnosis. Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the potential of integrated metabolomics of tissues and biofluids to improve current understanding of lung cancer altered metabolism and to reveal new marker profiles with diagnostic value.
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The growing number of robotic solutions geared to interact socially with humans, social robots, urge the study of the factors that will facilitate or hinder future human robot collaboration. Hence the research question: what are the factors that predict intention to work with a social robot in the near future. To answer this question the following socio-cognitive models were studied, the theory of reasoned action, the theory of planned behavior and the model of goal directed behavior. These models purport that all the other variables will only have an indirect effect on behavior. That is, through the variables of the model. Based on the research on robotics and social perception/ cognition, social robot appearance, belief in human nature uniqueness, perceived warmth, perceived competence, anthropomorphism, negative attitude towards robots with human traits and negative attitudes towards interactions with robots were studied for their effects on attitude towards working with a social robot, perceived behavioral control, positive anticipated emotions and negative anticipated emotions. Study 1 identified the social representation of robot. Studies 2 to 5 investigated the psychometric properties of the Portuguese version of the negative attitude towards robots scale. Study 6 investigated the psychometric properties of the belief in human nature uniqueness scale. Study 7 tested the theory of reasoned action and the theory of planned behavior. Study 8 tested the model of goal directed behavior. Studies 7 and 8 also tested the role of the external variables. Study 9 tested and compared the predictive power of the three socio-cognitive models. Finally conclusion are drawn from the research results, and future research suggestions are offered.
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The human gut microbiome is known to be associated with various human disorders, but a major challenge is to go beyond association studies and elucidate causalities. Mathematical modeling of the human gut microbiome at a genome scale is a useful tool to decipher microbe-microbe, diet-microbe and microbe-host interactions. Here, we describe the CASINO (Community And Systems-level INteractive Optimization) toolbox, a comprehensive computational platform for analysis of microbial communities through metabolic modeling. We first validated the toolbox by simulating and testing the performance of single bacteria and whole communities in vitro. Focusing on metabolic interactions between the diet, gut microbiota, and host metabolism, we demonstrated the predictive power of the toolbox in a diet-intervention study of 45 obese and overweight individuals and validated our predictions by fecal and blood metabolomics data. Thus, modeling could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.
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O âmbito deste trabalho é o da prevenção e mitigação do risco de uma carteira de crédito de um Banco de retalho, com uma quota significativa no mercado Português. A antecipação de potencial incumprimento é crítica para a atuação atempada do Banco junto dos clientes. Pretendeu-se analisar o poder preditivo de uma base de informação exógena (a Central) que inclui as responsabilidades creditícias dos clientes do Banco no Sistema Financeiro Português. As principais fases deste trabalho consistiram na análise e estruturação da informação da Central, de modo a integrá-la com a do Banco, compreensão das condicionantes desta informação, nomeadamente o desfasamento temporal, e finalmente, no desenvolvimento de um modelo de scoring, compatível com os sistemas e tecnologias do Banco, e de modo a alavancar o processo existente.
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INTRODUCTION: New scores have been developed and validated in the US for in-hospital mortality risk stratification in patients undergoing coronary angioplasty: the National Cardiovascular Data Registry (NCDR) risk score and the Mayo Clinic Risk Score (MCRS). We sought to validate these scores in a European population with acute coronary syndrome (ACS) and to compare their predictive accuracy with that of the GRACE risk score. METHODS: In a single-center ACS registry of patients undergoing coronary angioplasty, we used the area under the receiver operating characteristic curve (AUC), a graphical representation of observed vs. expected mortality, and net reclassification improvement (NRI)/integrated discrimination improvement (IDI) analysis to compare the scores. RESULTS: A total of 2148 consecutive patients were included, mean age 63 years (SD 13), 74% male and 71% with ST-segment elevation ACS. In-hospital mortality was 4.5%. The GRACE score showed the best AUC (0.94, 95% CI 0.91-0.96) compared with NCDR (0.87, 95% CI 0.83-0.91, p=0.0003) and MCRS (0.85, 95% CI 0.81-0.90, p=0.0003). In model calibration analysis, GRACE showed the best predictive power. With GRACE, patients were more often correctly classified than with MCRS (NRI 78.7, 95% CI 59.6-97.7; IDI 0.136, 95% CI 0.073-0.199) or NCDR (NRI 79.2, 95% CI 60.2-98.2; IDI 0.148, 95% CI 0.087-0.209). CONCLUSION: The NCDR and Mayo Clinic risk scores are useful for risk stratification of in-hospital mortality in a European population of patients with ACS undergoing coronary angioplasty. However, the GRACE score is still to be preferred.
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RESUMO: O cancro de mama e o mais frequente diagnoticado a indiv duos do sexo feminino. O conhecimento cientifico e a tecnologia tem permitido a cria ção de muitas e diferentes estrat egias para tratar esta patologia. A Radioterapia (RT) est a entre as diretrizes atuais para a maioria dos tratamentos de cancro de mama. No entanto, a radia ção e como uma arma de dois canos: apesar de tratar, pode ser indutora de neoplasias secund arias. A mama contralateral (CLB) e um orgão susceptivel de absorver doses com o tratamento da outra mama, potenciando o risco de desenvolver um tumor secund ario. Nos departamentos de radioterapia tem sido implementadas novas tecnicas relacionadas com a radia ção, com complexas estrat egias de administra ção da dose e resultados promissores. No entanto, algumas questões precisam de ser devidamente colocadas, tais como: E seguro avançar para tecnicas complexas para obter melhores indices de conformidade nos volumes alvo, em radioterapia de mama? O que acontece aos volumes alvo e aos tecidos saudaveis adjacentes? Quão exata e a administração de dose? Quais são as limitações e vantagens das técnicas e algoritmos atualmente usados? A resposta a estas questões e conseguida recorrendo a m etodos de Monte Carlo para modelar com precisão os diferentes componentes do equipamento produtor de radia ção(alvos, ltros, colimadores, etc), a m de obter uma descri cão apropriada dos campos de radia cão usados, bem como uma representa ção geometrica detalhada e a composição dos materiais que constituem os orgãos e os tecidos envolvidos. Este trabalho visa investigar o impacto de tratar cancro de mama esquerda usando diferentes tecnicas de radioterapia f-IMRT (intensidade modulada por planeamento direto), IMRT por planeamento inverso (IMRT2, usando 2 feixes; IMRT5, com 5 feixes) e DCART (arco conformacional dinamico) e os seus impactos em irradia ção da mama e na irradia ção indesejada dos tecidos saud aveis adjacentes. Dois algoritmos do sistema de planeamento iPlan da BrainLAB foram usados: Pencil Beam Convolution (PBC) e Monte Carlo comercial iMC. Foi ainda usado um modelo de Monte Carlo criado para o acelerador usado (Trilogy da VARIAN Medical Systems), no c odigo EGSnrc MC, para determinar as doses depositadas na mama contralateral. Para atingir este objetivo foi necess ario modelar o novo colimador multi-laminas High- De nition que nunca antes havia sido simulado. O modelo desenvolvido est a agora disponí vel no pacote do c odigo EGSnrc MC do National Research Council Canada (NRC). O acelerador simulado foi validado com medidas realizadas em agua e posteriormente com c alculos realizados no sistema de planeamento (TPS).As distribui ções de dose no volume alvo (PTV) e a dose nos orgãos de risco (OAR) foram comparadas atrav es da an alise de histogramas de dose-volume; an alise estati stica complementar foi realizadas usando o software IBM SPSS v20. Para o algoritmo PBC, todas as tecnicas proporcionaram uma cobertura adequada do PTV. No entanto, foram encontradas diferen cas estatisticamente significativas entre as t ecnicas, no PTV, nos OAR e ainda no padrão da distribui ção de dose pelos tecidos sãos. IMRT5 e DCART contribuem para maior dispersão de doses baixas pelos tecidos normais, mama direita, pulmão direito, cora cão e at e pelo pulmão esquerdo, quando comparados com as tecnicas tangenciais (f-IMRT e IMRT2). No entanto, os planos de IMRT5 melhoram a distribuição de dose no PTV apresentando melhor conformidade e homogeneidade no volume alvo e percentagens de dose mais baixas nos orgãos do mesmo lado. A t ecnica de DCART não apresenta vantagens comparativamente com as restantes t ecnicas investigadas. Foram tamb em identi cadas diferen cas entre os algoritmos de c alculos: em geral, o PBC estimou doses mais elevadas para o PTV, pulmão esquerdo e cora ção, do que os algoritmos de MC. Os algoritmos de MC, entre si, apresentaram resultados semelhantes (com dferen cas at e 2%). Considera-se que o PBC não e preciso na determina ção de dose em meios homog eneos e na região de build-up. Nesse sentido, atualmente na cl nica, a equipa da F sica realiza medi ções para adquirir dados para outro algoritmo de c alculo. Apesar de melhor homogeneidade e conformidade no PTV considera-se que h a um aumento de risco de cancro na mama contralateral quando se utilizam t ecnicas não-tangenciais. Os resultados globais dos estudos apresentados confirmam o excelente poder de previsão com precisão na determinação e c alculo das distribui ções de dose nos orgãos e tecidos das tecnicas de simulação de Monte Carlo usados.---------ABSTRACT:Breast cancer is the most frequent in women. Scienti c knowledge and technology have created many and di erent strategies to treat this pathology. Radiotherapy (RT) is in the actual standard guidelines for most of breast cancer treatments. However, radiation is a two-sword weapon: although it may heal cancer, it may also induce secondary cancer. The contralateral breast (CLB) is a susceptible organ to absorb doses with the treatment of the other breast, being at signi cant risk to develop a secondary tumor. New radiation related techniques, with more complex delivery strategies and promising results are being implemented and used in radiotherapy departments. However some questions have to be properly addressed, such as: Is it safe to move to complex techniques to achieve better conformation in the target volumes, in breast radiotherapy? What happens to the target volumes and surrounding healthy tissues? How accurate is dose delivery? What are the shortcomings and limitations of currently used treatment planning systems (TPS)? The answers to these questions largely rely in the use of Monte Carlo (MC) simulations using state-of-the-art computer programs to accurately model the di erent components of the equipment (target, lters, collimators, etc.) and obtain an adequate description of the radiation elds used, as well as the detailed geometric representation and material composition of organs and tissues. This work aims at investigating the impact of treating left breast cancer using di erent radiation therapy (RT) techniques f-IMRT (forwardly-planned intensity-modulated), inversely-planned IMRT (IMRT2, using 2 beams; IMRT5, using 5 beams) and dynamic conformal arc (DCART) RT and their e ects on the whole-breast irradiation and in the undesirable irradiation of the surrounding healthy tissues. Two algorithms of iPlan BrainLAB TPS were used: Pencil Beam Convolution (PBC)and commercial Monte Carlo (iMC). Furthermore, an accurate Monte Carlo (MC) model of the linear accelerator used (a Trilogy R VARIANR) was done with the EGSnrc MC code, to accurately determine the doses that reach the CLB. For this purpose it was necessary to model the new High De nition multileaf collimator that had never before been simulated. The model developed was then included on the EGSnrc MC package of National Research Council Canada (NRC). The linac was benchmarked with water measurements and later on validated against the TPS calculations. The dose distributions in the planning target volume (PTV) and the dose to the organs at risk (OAR) were compared analyzing dose-volume histograms; further statistical analysis was performed using IBM SPSS v20 software. For PBC, all the techniques provided adequate coverage of the PTV. However, statistically significant dose di erences were observed between the techniques, in the PTV, OAR and also in the pattern of dose distribution spreading into normal tissues. IMRT5 and DCART spread low doses into greater volumes of normal tissue, right breast, right lung, heart and even the left lung than tangential techniques (f-IMRT and IMRT2). However,IMRT5 plans improved distributions for the PTV, exhibiting better conformity and homogeneity in target and reduced high dose percentages in ipsilateral OAR. DCART did not present advantages over any of the techniques investigated. Di erences were also found comparing the calculation algorithms: PBC estimated higher doses for the PTV, ipsilateral lung and heart than the MC algorithms predicted. The MC algorithms presented similar results (within 2% di erences). The PBC algorithm was considered not accurate in determining the dose in heterogeneous media and in build-up regions. Therefore, a major e ort is being done at the clinic to acquire data to move from PBC to another calculation algorithm. Despite better PTV homogeneity and conformity there is an increased risk of CLB cancer development, when using non-tangential techniques. The overall results of the studies performed con rm the outstanding predictive power and accuracy in the assessment and calculation of dose distributions in organs and tissues rendered possible by the utilization and implementation of MC simulation techniques in RT TPS.
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This paper analyzes the in-, and out-of sample, predictability of the stock market returns from Eurozone’s banking sectors, arising from bank-specific ratios and macroeconomic variables, using panel estimation techniques. In order to do that, I set an unbalanced panel of 116 banks returns, from April, 1991, to March, 2013, to constitute equal-weighted country-sorted portfolios representative of the Austrian, Belgian, Finish, French, German, Greek, Irish, Italian, Portuguese and Spanish banking sectors. I find that both earnings per share (EPS) and the ratio of total loans to total assets have in-sample predictive power over the portfolios’ monthly returns whereas, regarding the cross-section of annual returns, only EPS retain significant explanatory power. Nevertheless, the sign associated with the impact of EPS is contrarian to the results of past literature. When looking at inter-yearly horizon returns, I document in-sample predictive power arising from the ratios of provisions to net interest income, and non-interest income to net income. Regarding the out-of-sample performance of the proposed models, I find that these would only beat the portfolios’ historical mean on the month following the disclosure of year-end financial statements. Still, the evidence found is not statistically significant. Finally, in a last attempt to find significant evidence of predictability of monthly and annual returns, I use Fama and French 3-Factor and Carhart models to describe the cross-section of returns. Although in-sample the factors can significantly track Eurozone’s banking sectors’ stock market returns, they do not beat the portfolios’ historical mean when forecasting returns.
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Double Degree Masters in Economics Program from Insper and NOVA School of Business and Economics
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RESUMO: Introdução: Tratamento do carcinoma da mama Este trabalho inicia-se com a história do tratamento do carcinoma da mama, desde os primeiros documentos que descrevem doentes com carcinoma da mama até 1950. Desde 1950 até 2000 o diagnóstico, risco e as modalidades terapêuticas usadas no tratamento das doentes são mais detalhadas com ênfase nas terapêuticas locais, regionais e sistémicas. Parte 1:Quem tratar com terapêutica sistémica adjuvante Capítulo 1: A classificação TNM não está morta no carcinoma da mama Tem sido dito que a classificação TNM não é adequada para usar como ferramenta de prognóstico e decisão terapêutica no carcinoma da mama, especialmente em doentes com carcinoma detectado através de rastreio, que tem geralmente menores dimensões. A razão desta classificação não ser adequada prendese com o facto de não estarem incluidos parâmetros biológicos na classificação TNM atual. Pusemos a hipótese de que numa população com alta percentagem de carcinoma da mama não detectado em exames de rastreio, com uma mediana de idade baixa e com alta percentagem de estadios II e III, o estadiamento clássico, pela classificação TNM, é mais descriminatório que as características biológicas na determinação do prognóstico. Para isto analisámos uma população de doentes com carcinoma da mama tratados consecutivamente na mesma instituição, durante 10 anos. Caracterizámos os fatores de prognóstico do estadiamento clássico incluídos na classificação TNM e as variantes biológicas, presentemente não incluídas na classificação TNM. Quantificámos a capacidade de cada um dos factores de prognóstico para para prever a sobrevivência. A população é de 1699 doentes com carcinoma da mama que foram tratádos com terapêutica sistémica adjuvante. Individualmente, cada um dos fatores de prognostico, clássicos ou biológicos, diferem significativamente entre doentes que sobrevivem e que não sobrevivem. Explicitamente, como previsto, doentes com tumores maiores, envolvimento dos gânglios axilares, estadios TNM mais avançados, que não expressam recetor de esrogéneo, com amplificação do gene Her2, triplos negativos ou de menor diferenciação têm menor sobrevida. Na análise multivariada, só os fatores de prognostico da classificação TNM, o grau histológico e a amplificação do gene Her2, esta última com menos significância estatistica são preditores independentes de sobrevivência. Capítulo 2: Em busca de novos factores de prognostico: Poder preditivo e mecanismo das alterações de centrossomas em carcinoma da mama Compilámos inúmeros grupos de experiências de genómica feitas em tumores primários de doentes com carcinoma da mama para as quais existe informação prognóstica. Estas experiências são feitas com o objectivo de descobrir novos factores de prognóstico. Reanalisámos os dados, repetindo a mesma pergunta: Quais são os genes com expressão diferencial estatisticamente significativa entre doentes que recaíram e doentes que não recaíram. Identificámos 65 genes nestas condições e o MKI67, o gene que codifica a proteina Ki67, estava nesse grupo. Identificámos vários genes que se sabe estarem envolvidos no processo de agregação de centrossomas. O gene que considerámos mais promissor foi a kinesina KiFC1, que já tinha sido identificada como regulador da agregação de centrossomas. Anomalias cetrossomais numéricas e estruturais têm sido observadas em neoplasias. Há dados correlacionando anolmalias centrossomais estruturais e e numéricas com o grau de malignidade e os eventos precoces da carcinogénese. Mas estas anomalias centrossomais têm um peso para a célula que deve adapatar-se ou entrará em apoptose. Os nossos resultados sugerem que existe um mecanismo adaptativo, a agregação de centrossomas, com impacto prognóstico negativo. O nosso objetivo foi quantificar o valor prognóstico das anomalias centrossomais no carcinoma da mama. Para isto usámos material de doentes dos quais sabemos a história natural. Avaliámos os genes de agregação de centrossomas, KIFC1 e TACC3, nas amostras tumorais arquivadas em parafina: primeiro com PCR (polymerase chain reaction) quantitativa e depois com imunohistoquímica (IHQ). Apenas a proteína KIFC1 foi discriminatória em IHQ, não se tendo conseguido otimizar o anticorpo da TACC3. Os níveis proteicos de KIFC1 correlacionam-se com mau prognóstico. Nas doentes que recaíram observámos, no tumor primário, maior abundância desta proteína com localização nuclear. Em seguida, demonstrámos que a agregação de centrossomas é um fenómeno que ocorre in vivo. Identificámos centrossomas agregados em amostras de tumores primários de doentes que recaíram. Tecnicamente usámos microscopia de fluorescência e IHQ contra proteínas centrossomais que avaliámos nos tumores primários arquivados em blocos de parafina. Observámos agregação de centrossomas num pequeno número de doentes que recaíram, não validámos, ainda, este fenótipo celular em larga escala. Parte 2: Como tratar com terapêutica sistémica os vários subtipos de carcinoma da mama Capítulo 3: Quantas doenças estão englobadas na definição carcinoma da mama triplo negativo? (revisão) O carcinoma da mama triplo negativo é um tumor que não expressa três proteínas: recetor de estrogénio, recetor de progesterona e o recetor do fator de crescimento epidermico tipo 2 (Her2). As doentes com estes tumores não são ainda tratadas com terapêutica dirigida, possivelmente porque esta definição negativa não tem ajudado. Sabemos apenas as alterações genéticas que estes tumores não têm, não as que eles têm. Talvez por esta razão, estes tumores são o subtipo mais agressivo de carcinoma da mama. No entanto, na prática clínica observamos que estas doentes não têm sempre mau prognóstico, além de que dados de histopatologia e epidemiologia sugerem que esta definição negativa não está a capturar um único subtipo de carcinoma da mama, mas vários. Avaliámos criticamente esta evidência, clínica, histopatológica, epidemiológica e molecular. Há evidência de heterogeneidade, mas não é claro quantos subtipos estão englobados nesta definição de carcinoma da mama triplo negativo. A resposta a esta pergunta, e a identificação do fundamento molecular desta heterogeneidade vai ajudar a melhor definir o prognóstico e eventualmente a definir novos alvos terapêuticos nesta população difícil. Capítulo 4: Terapêuica sistémica em carcinoma da mama triplo negativo (revisão) A quimioterapia é a única terapêutica sistémica disponível para as doentes com carcinoma da mama triplo negativo, ao contrário dos outros dois subtipo de carcinoma da mama que têm com a terapêutica antiestrogénica e anti Her2, importantes benefícios. Apesar de terem surgido várias opções terapêuticas para estes doentes nennhuma terapêutica dirigida foi validada pelos ensaios clínicos conduzidos, possivelmente porque a biologia deste carcinoma ainda não foi elucidada. Muitos ensaios demonstram que os tumores triplos negativos beneficiam com quimioterapia e que as mais altas taxas de resposta patológica completa à terapêutica neoadjuvante são observadas precisamente nestes tumors. A resposta patológica completa correlaciona-se com a sobrevivência. Estamos a estudar regimes adjuvantes específicos para doentes com estes tumors, mas, neste momento, regimes de terceira geração com taxanos e antraciclinas são os mais promissores. O papel de subgrupos de fármacos específicos, como os sais de platina, mantémse mal definido. Quanto às antraciclinas e taxanos, estes grupos não mostraram beneficio específico em carcinoma da mama triplo negativo quando comparado com os outros subtipos. Os próprios carcinomas da mama triplos negativos são heterogéneos e carcinomas da mama basais triplos negativos com elevada taxa de proliferação e carcinomas da mama triplos negativos surgidos em doentes com mutação germinal BRCA1 poderão ser mais sensíveis a sais de platino e menos sensíveis a taxanos. Como a definição molecular ainda não foi explicada a busca de terapêutica dirigida vai continuar. Capítulo 5: Ensaio randomizado de fase II do anticorpo monoclonal contra o recetor do fator de crescimento epidérmico tipo 1 combinado com cisplatino versus cisplatino em monoterapia em doentes com carcinoma da mama triplo negativo metastizado O recetor do fator de crescimento epidérmico tipo 1 está sobre expresso nos tumores das doentes com carcinoma da mama triplo negativo metastizado, um subtipo agressivo de carcinoma da mama. Este ensaio investigou a combinação de cetuximab e cisplatino versus cisplatino isolado em doentes deste tipo. Doentes em primeira ou segunda linha de terapêutica para doença metastizada foram randomizadas, num sistema de 2 para 1, para receber até 6 ciclos da combinação de cisplatino e cetuximab ou cisplatino isolado. Às doentes randomizadas para o braço de monoterapia podiamos, após progressão, acrescentar cetuximab ou tratá-las com cetuximab isolado. O objetivo primário foi a taxa de resposta global. Os objetivos secundários foram a sobrevivência livre de doença, a sobrevivência global e o perfil de segurança dos fármacos. A população em análise foram 115 doentes tratadas com a combinação e 58 doentes tratadas com cisplatino em monoterapia, 31 destas em quem se documentou progressão passaram a ser tratadas com um regime que incluía cetuximab, isolado ou em combinação. A taxa de resposta global foi de 20% no braço da combinaçao e de 10% no braço da monoterapia (odds ratio, 2.13). A sobrevivência livre de doença foi de 3.7 meses no braço da combinação e de 1.5 meses no braço em monoterapia (hazard ratio, 0.67). A sobrevivência global foi de 12.9 meses no braço da combinação versus 9.4 meses no braço de cisplatino. Conclui-se que, apesar de não ter sido alcançado o objectivo primário, acrescentar cetuximab, duplica a resposta e prolonga tanto a sobrevivência livre de doença como a sobrevivência global. Capítulo 6: Bloquear a angiogénese para tratar o carcinoma da mama (revisão) A angiogénese é uma característica que define a neoplasia, porque tumores com mais de 1mm precisam de formar novos vasos para poderem crescer. Desde que se descobriram as moléculas que orquestram esta transformação, que se têm procurado desenvolver e testar fármacos que interfiram com este processo. No carcinoma da mama o bevacizumab foi o primeiro fármaco aprovado pela FDA em primeira linha para tratar doença metastática. Depois foram estudados um grupo de inibidores de tirosina cinase associados aos recetores transmembranares envolvidos na angiogénese como o VEGFR, PDGFR, KIT, RET, BRAF e Flt3: sunitinib, sorafenib, pazopanib e axitinib Neste capítulo, analisaram-se e resumiram-se os dados dos ensaios clínicos das drogas anti-angiogénicas no tratamaneto do carcinoma da mama. Os ensaios de fase III do bevacizumab em carcinoma da mama mostraram uma redução na progressão de doença de 22 a 52% e aumento da sobrevivência livre de doença de 1.2 a 5.5 meses mas nunca foi demonstrado prolongamento de sobrevivência. Os ensaios de fase III em carcinoma da mama adjuvante com bevacizumab são dois e foram ambos negativos. O ensaio de fase III com o inibidor da tirosina cinase, sunitinib foi negativo, enquanto que os ensaios de fase II com os inibidores da tirosina cinase sorafenib e pazopanib melhoraram alguns indicadores de resposta e sobrevivência. A endostatina foi testada no contexto neoadjuvante com antraciclinas e melhorou a taxa de resposta, mas, mais ensaios são necessários para estabelecer este fármaco. A maioria dos ensaios clínicos dos agentes antiangiogénicos em carcinoma da mama reportaram aumento da taxa de resposta e de sobrevivência livre de doença mas nunca aumento da sobrevivência global quando comparado com quimioterapia isolada o que levou ao cepticismo a que assistimos atualmente em relação ao bloqueio da angiogénese. Ensaios clínicos selecionados em doentes específicas com objetivos translacionais relacionados com material biológico colhido, preferefencialmente em diferentes intervalos da terapêutica, serão cruciais para o bloqueio da angiogénese sobreviver como estratégia terapêutica em carcinoma da mama. Capítulo 7: A resposta à hipoxia medeia a resistência primária ao sunitinib em carcinoma da mama localmente avançado O sunitinib é um fármaco antiangiogénico que nunca foi avaliado isolado em doentes com carcinoma da mama não tratadas. O nosso objetivo foi caracaterizar a atividade do sunitinib isolado e em combinação com o docetaxel em carcinoma da mama não tratado, localmente avançado ou operável, mas de dimensão superior a 2 cm, para compreender os mecanismos de resposta. Doze doentes foram tratadas com duas semanas iniciais de sunitinib seguido de quatro ciclos de combinação de sunitinib e docetaxel. A resposta, a reistência e a toxicidade foram avaliadas de acordo com parametros clínicos, ressonância magnética nuclear, tomografia de emissão de positrões, histopatologia e perfis de expressão genómica. Detetámos resistência primária ao sunitinib na janela inicial de duas semanas, evidenciada em quatro doentes que não responderam. À data da cirurgia, cinco doentes tinham tumor viável na mama e axila, quatro tinahm tumor viável na mama e três foram retiradas do ensaio. Não houve respostas patológicas completas. A comparação dos perfis de expressão genómica entre os respondedores e os não respondedores, aos quinze dias iniciais, permitiu-nos identificar sobre expressão de VEGF e outras vias angiogénicas nos não respondedores. Especificamente, em tumores resistentes ao sunitinib isolado detectámos uma resposta transcricional à hipoxia caracterizada por sobre expressão de vários dos genes alvo do HIF1α. Neste ensaio de sunitinib isolado em doentes não tratadas com carcinoma da mama localmente avançado, encontrámos evidência molecular de resistência primária ao sunitinib possivelmente mediada por sobre expressão de genes que respondem à hipoxia. Parte 3: Quando parar a terapêutica sistémica às doentes com carcinoma da mama Capítulo 8: Agressividade terapêutica ns últimos três meses de vida num estudo retrospetivo dum centro único Incluímos todos os adultos que morreram com tumores sólidos na instituição em 2003 e foram tratados com quimioterapia para tratar neoplaias metastizadas. Colhemos dados detalhados relacionados com quimioterapia e toxicidade nos últimos três meses de vida a partir do processo clínico. Trezentas e dezanove doentes foram incluídos, a mediana de idade foi 61 anos. A mediana de sobrevivência de doença metastática foi de 11 meses. 66% (211) dos doentes foram tratados com QT nos últimos 3 meses de vida, 37% foram tratados com QT no úlimo mês de vida e 21% nas últimas duas semanas. Nos doentes que foram tratados com QT nos últimos três meses de vida, 50% começaram um novo regime terapêutico neste período e 14% começaram um novo regime no último mês. Identificámos como determinantes de tratamento com QT no fim de vida a idade jovem, o carcinoma da mama, do ovário e do pâncreas. Concluímos que administrámos QT no fim de vida frequentemente e iniciámos novos regimes terapêuticos no último mês de vida em 14% dos casos. Precisamos de aprofundar este trabalho para compreender se esta atitude agressiva resulta em melhor paliação de sintomas e qualidade de vida no fim de vida dos doentes com neoplasias disseminadas. Capítulo 9: O tratamento do carcinoma da mama no fim de vida está a mudar? Quisémos caracterizar a modificação da tendência no uso de QT e de estratégias paliativas no fim de vida das doentes com carcinoma da mama em diferentes instituições e em intervalos de tempo diferentes. Para isto selecionámos doentes que morreram de carcinoma da mama durante 6 anos, entre 2007 e 2012, num hospital geral e comparámos com as doentes que morreram de carcinoma da mama em 2003 num centro oncológico. Avaliámos um total de 232 doentes. O grupo mais recente tem 114 doentes e o grupo anterior tem 118 doentes. Usámos estatística descritiva para caracterizar QT no fim de vida e o uso de estratégias paliativas. Ambas as coortes são comparáveis em termos das características do carcinoma da mama. Observámos aumento do uso de estatégias paliativas: consulta da dor, consulta de cuidados paliativos e radioterapia paliativa no cuidado das doentes com carcinoma da mama metastizado. Evidenciámos aumento do número de mortes em serviços de cuidados paliativos. No entanto, a QT paliativa continua a ser prolongada até aos últimos meses de vida, embora tenhamos mostrado uma diminuição desta prática. Outros indicadores de agressividade como a admissão hospitalar também mostraram diminuição. Confirmámos a nossa hipótese de que há maior integração da medicina paliativa multidisciplinar e menos agressividade na terapêutica sistémica das doentes com carcinoma da mama nos últimos meses de vida. Chapter 10: Porque é que os nossos doentes são tratados com quimioterapia até ao fim da vida? (editorial) Este capítulo começa por dar o exmeplo duma jovem de 22 anos que viveu três meses após começar QT paliatva. Este caso epitomiza a futilidade terapêutica e é usado como ponto de partida para explorar as razões pelas quais administramos QT no fim de vida aos doentes quando é inútil, tóxica, logisticamente complexa e cara. Será que estamos a prescrever QT até tarde demais? Os oncologistas fazem previsões excessivamente otimistas e têm uma atitude pró terapêutica excessiva e são criticados por outros intervenientes nas instituições de saúde por isto. Crescentemente doentes, familiares, associações de doentes, definidores de políticas de saúde, jornalistas e a sociedade em geral afloram este tema mas tornam-se inconsistentes quando se trata dum doente próximo em que se modifica o discurso para que se façam terapêuticas sitémicas agressivas. Há uma crescente cultura de preservação da qualidade de vida, paliação, abordagem sintomática, referenciação a unidades de cuidados paliativos e outros temas do fim de vida dos doentes oncológicos terminais. Infelizmente, este tema tem ganhado momentum não porque os oncologistas estejam a refletir criticamente sobre a sua prática, mas porque os custos dos cuidados de saúde são crescentes e incomportáveis. Seja qual fôr o motivo, as razões que levam os oncologistas a administrar QT no fim de vida devem ser criticamente elucidadas. Mas há poucos dados para nos guiar nesta fase delicada da vida dos doentes e os que existem são por vezes irreconciliáveis, é uma revisão destes dados que foi feita neste capítulo. Conclusão: A abordagem do carcinoma da mama no futuro? Na conclusão, tenta-se olhar para o futuro e prever como será a tomada a cargo dum doente com carcioma da mama amanhã. Faz-se uma avaliação das várias àreas desde prevenção, rastreio, suscetibilidade genética e comportamental e terapêutica. Na terapêutica separa-se a terapêutica locoregional, sistémica adjuvante e da doença metastizada. Nos três últimos parágrafos a história duma mulher com um carcinoma localmente avançado que sobre expressa o recetor Her2, serve como ilustração de como devemos estar preparados para incorporar evolução, heterogeneidade e dinamismo no cuidado de doentes com carcinoma da mama. -------------------------------------------------------------------------------------------------- ABSTRACT: Introduction: Breast cancer care in the past This work starts with an overview of the treatment of breast cancer (BC). From the first reports of patients ill with BC until 1950. From 1950 until 2000, there is a more detailed account on how BC patients were treated with emphasis on the different modalities, local, regional and systemic treatments and their evolution. Part 1: Who to treat with adjuvant systemic therapy? Chapter 1: TNM is not dead in breast cancer It has been said that the current TNM staging system might not be suitable for predicting breast cancer (BC) outcomes and for making therapeutic decisions, especially for patients with screen detected BC which is smaller. The reason for this is also due to the non inclusion of tumor biology parameters in the current TNM system. We hypothesize that in a population where there is still a large abundance of non screen detected BC, with a low median age of incidence and abundance of high TNM staged lesions, biology is still second to classical staging in predicting prognosis. We analyzed a population of consecutive BC patients from a single institution during ten years. We characterized current established prognostic factors, classical staging variables included in the current TNM staging system and biological variables, currently not included in the TNM system. We quantified the capacity of individual prognostic factors to predict survival. We analyzed a population of 1699 consecutive BC patients. We found that individually both the TNM system prognostic factors and the biological prognostic factors are differing among BC survivors and dead patients in a statistically significant distribution. Explicitly, patients with larger tumors, positive nodes, higher stage lesions, ER negative, HER2 positive, TN or lower differentiation tumors show decreased survival. In the multivariate analysis we can conclude that in a population such as ours classical TNM staging variables, irrespective of tumor biological features, are still the most powerful outcome predictors. Chapter 2: Defining breast cancer prognosis: The predictive power and mechanism of centrosome alterations in breast cancer We performed a systematic analysis of the literature and compiled an extensive data set of gene expression data originated in primary tumours of BC patients with prognostic information. We analysed this data seeking for genes consistently up or down regulated in poor prognosis BC, i.e. that relapsed after initial treatment. In the course this bioinformatics analysis our lab identified 65 genes statistically significant across multiple datasets that can discriminate between relapsed and non-relapsed BC patients. Among the identified genes, we have detected genes such as MKI67, a marker of mitotic activity which is routinely used in the clinic. Unexpectedly, we also discovered several genes found to be involved in centrosome clustering, The most prominent of these is the kinesin KIFC1, also called HSET, and previously identified as regulator of centrosome clustering. Centrosome abnormalities (numerical, structural) have been observed in cancer. Indeed, compelling data has shown that cells from many cancers have multiple and abnormal centrosomes, that are either correlated with tumour malignancy or considered an early tumorigenesis event. However, extra centrosomes come at a cost and cells must be able to handle such abnormalities or otherwise die. Thus our results suggested a new mechanism of breast cancer progression with negative prognostic value. We aimed at quantifying the predictive power of centrosome clustering in BC clinical setting and at detecting this process in BC patient material. We validated the centrosome clustering genes KIFC1 and TACC3 in formalin fixed paraffin embedded (FFPE) BC patient material, using quantitative real-time PCR (RT-qPCR) technology. Our results indicate that the tested KIFC1 has a clear IHC signal (1) and that the protein expression patterns and levels correlate with prognosis, with relapsing patients having increased expression and nuclear localisation of this kinesin (2). Next we were able to show that centrosome clustering does occur in vivo. We identified centrosome amplification and clustering in breast cancer samples, and we established a fluorescence microscopy-based IHC approach by staining FFPE samples with centrosomal markers. Using this approach we have observed centrosome amplification and clustering in a small set of poor prognosis samples. By expanding the number of samples in which we have characterised the number of centrosomes, we were able to confirm our preliminary observation that centrosomes are clustered in relapsed BC. Part 2: How to treat breast cancer subtypes? Chapter 3: How many diseases is triple negative breast cancer? (review) Triple negative breast cancer is a subtype of breast cancer that does not express the estrogen receptor, the progesterone receptor and the epidermal growth factor receptor type 2 (Her2). These tumors are not yet treated with targeted therapies probably because no positive markers have been described to reliably classify them - they are described for what they are not. Perhaps for this reason, they are among the most aggressive of breast carcinomas, albeit with very heterogenous clinical behavior. The clinical observation that these patients do not carry a uniformly dismal prognosis, coupled with data coming from pathology and epidemiology, suggests that this negative definition is not capturing a single clinical entity, but several. We critically evaluate this evidence in this paper, reviewing clinical and epidemiological data, as well as molecular data. There is evidence for heterogeneity, but it is not clear how many diseases are grouped into triple negative breast cancer. Answering this question, and identifying the molecular basis of heterogeneity will help define prognosis and, eventually, the identification of new targeted therapies. Chapter 4: Systemic treatment for triple negative breast cancer (review) Chemotherapy remains the backbone of treatment for triple negative breast cancer (TNBC). Despite the appearance of new targeted and biologic agents there has been no targeted therapy validated for TNBC, possibly because the biology of TNBC has not been conclusively elucidated. Many studies have shown that TNBC derive significant benefit of chemotherapy in the neoadjuvant, adjuvant and metastatic treatment, possibly more benefit than other BC subtypes. Neoadjuvant chemotherapy studies have repeatedly shown higher response rates in TNBC than non-TNBC. Pathologic complete response has been shown to predict improved long term outcomes in BC. Although specific adjuvant regimens for TNBC are under study, third generation chemotherapy regimens utilizing dose dense or metronomic polychemotherapy are among the most effective tools presently available. The role of specific chemotherapy agents, namely platinum salts, in the treatment of TNBC remains undefined. Taxanes and anthracyclines are active in TNBC and remain important agents, but have not shown specific benefit over non-TNBC. TNBC is itself a heterogeneous group in which subgroups like basal like BC defined by higher proliferation and including those TNBC arising in BRCA1 mutation carriers may be more sensitive to platinum agents and relatively less sensitive to taxanes. The molecular characterization of TNBC is lacking and therefore the search for targeted therapy is still ongoing. Chapter 5: Randomized phase II study of the anti-epidermal growth factor receptor monoclonal antibody cetuximab with cisplatin versus cisplatin alone in patients with metastatic triple-negative breast cancer Epidermal growth factor receptor is overexpressed in metastatic triple-negative breast cancers, an aggressive subtype of breast cancer. Our randomized phase II study investigated cisplatin with or without cetuximab in this setting. Patients who had received no more than one previous chemotherapy regimen were randomly assigned on a 2:1 schedule to receive no more than six cycles of cisplatin plus cetuximab or cisplatin alone. Patients receiving cisplatin alone could switch to cisplatin plus cetuximab or cetuximab alone on disease progression. The primary end point was overall response rate (ORR). Secondary end points studied included progressionfree survival (PFS), overall survival (OS), and safety profiles. The full analysis set comprised 115 patients receiving cisplatin plus cetuximab and 58 receiving cisplatin alone; 31 patients whose disease progressed on cisplatin alone switched to cetuximab-containing therapy. The ORR was 20% with cisplatin plus cetuximab and 10% with cisplatin alone (odds ratio, 2.13). Cisplatin plus cetuximab resulted in longer PFS compared with cisplatin alone (median, 3.7 v 1.5 months; hazard ratio, 0.67. Corresponding median OS was 12.9 versus 9.4 months. While the primary study end point was not met, adding cetuximab to cisplatin doubled the ORR and appeared to prolong PFS and OS, warranting further investigation in mTNBC. Chapter 6: Blocking angiogenesis to treat breast cancer (review) Angiogenesis is a hallmark of cancer because tumors larger than 1mm need new vessels to sustain their growth. Since the discovery of the molecular players of this process and some inhibitors, that angiogenesis became a promising therapeutic target. Bevacizumab was the first molecular-targeted antiangiogenic therapy approved by the FDA and is used as first-line therapy in metastatic breast cancer. A second class of approved inhibitors (sunitinib, sorafenib, pazopanib and axitinib) include oral small-molecule tyrosine kinase inhibitors that target vascular endothelial growth factor receptors, platelet-derived growth factor receptors, and other kinases including KIT, Ret, BRAF and Flt-3, but none of these have gained approval to treat breast cancer. This review analyzes and summarizes data from clinical trials of anti-angiogenic agents in the treatment of BC. Phase III trials of bevacizumab in advanced BC have demonstrated a reduction in disease progression (22–52%), increased response rates and improvements in progression-free survival of 1.2 to 5.5 months, but no improvements in OS. Bevacizumab phase III trials in early BC have both been negative. Bevacizumab combined with chemotherapy is associated with more adverse events. Phase III trials of the tyrosine kinase inhibitor sunitinib were negative, while randomized phase II trials of sorafenib and pazopanib have improved some outcomes. Endostatin has been tested in neoadjuvant clinical trials in combination with anthracyclinebased chemotherapy in treatment-naive patients and has increased the clinical response rate, but more trials are needed to establish this drug. Most trials of anti-angiogenic agents in BC have reported improved RR and PFS but no increase in OS compared to chemotherapy alone, leading to skepticism towards blocking angiogenesis. Selected trials in selected BC populations with translational endpoints related to harvested tumor tissue and other biological material samples, preferentially at several timepoints, will be crucial if antiangiogenesis is to survive as a strategy to treat BC. Chapter 7: Does hypoxic response mediate primary resistance to sunitinib in untreated locally advanced breast cancer? The antiangiogenic drug sunitinib has never been evaluated as single agent in untreated BC patients. We aimed to characterize the activity of sunitinib, alone and with docetaxel, in untreated locally advanced or operable BC, and, to uncover the mechanisms of response. Twelve patients were treated with an upfront window of sunitinib followed by four cycles of sunitinib plus docetaxel. Response, resistance and toxicity were evaluated according to standard clinical parameters, magnetic resonance imaging, positron emission tomography, pathology characterization and gene expression profiling. We detected primary resistance to sunitinib upfront window in untreated BC, as evidenced by four non-responding patients. At surgery, five patients had viable disease in the breast and axilla, four had viable tumor cells in the breast alone and three were taken off study due to unacceptable toxicity and thus not evaluated. Early functional imaging was useful in predicting response. There were no pathologic complete responses (pCR). Comparison of gene expression profiling tumor data between early responders and non-responders allowed us to identify upregulation of VEGF and angiogenic pathways in non responders. Specifically, in tumors resistant to the single-agent sunitinib we detected a transcriptional response to hypoxia characterized by over-expression of several HIF1α target genes. In this report of single-agent sunitinib treatment of untreated localized BC patients, we found molecular evidence of primary resistance to sunitinib likely mediated by up-regulation of hypoxia responsive genes. Part 3: When to stop systemic treatment of breast cancer patients? Chapter 8: The aggressiveness of cancer care in the last three months of life: a retrospective single centre analysis. All adult patients with solid tumors who died in our hospital in 2003 and received chemotherapy for advanced cancer, were included. Detailed data concerning chemotherapy and toxicity, in the last three months of life, were collected from patientsʼ clinical charts. A total of 319 patients were included. Median age was 61 years. Median time from diagnosis of metastatic disease to death was 11 months. The proportion of patients who received chemotherapy in the last three months of life was 66% (n=211), in the last month 37% and in the last two weeks 21%. Among patients who received chemotherapy in the last three months of life, 50% started a new chemotherapy regimen in this period and 14% in the last month. There was an increased probability of receiving chemotherapy in the last three months of life in younger patients and in patients with breast, ovarian and pancreatic carcinomas. There was a large proportion of patients who received chemotherapy in the last three months of life, including initiation of a new regimen within the last 30 days. Thus, further study is needed to evaluate if such aggressive attitude results in better palliation of symptoms at the end of life. Chapter 9: Is breast cancer treatment in the end of life changing? We aimed to characterize the shifting trends in use of anti-cancer chemotherapy and palliative care approaches in the end of life of BC patients in different institutions and times. For this, we selected women that died of BC during six years, from 2007 to 2012, and were treated in a central acute care general hospital and compared it with the BC patients that died in 2003 and were treated in a large cancer center. We analyzed a total of 232 patients: the more recent group has 114 women and the older cohort has 118. We used descriptive statistics to characterize CT in the EoL and use of palliative care resources. Both populations were similar in terms of BC characteristics. We observed more palliative care resources, pain clinic, palliative care teams and palliative radiotherapy, involved in the care of MBC patients and a shift towards more deaths at hospices. Systemic anti cancer treatments continue to be prolonged until very late in patients’ lives, notwithstanding, we could show a decrease in the use of such treatments. Other indicators of aggressiveness, namely hospital admissions, also show a decrease. We confirmed our hypothesis that there is more integration of multidisciplinary palliative care and less aggressiveness in the treatment of metastatic cancer patients, specifically, use of palliative anti-cancer treatment and hospital admissions. Nonetheless, we use systemic therapy until too late with underutilization of palliative medicine. Chapter 10: Why do our patients get chemotherapy until the end of life? (editorial) The editorial starts with a clinical case of a 21 year old patient that lives three months after starting palliative chemotherapy for the first time, a case that illustrates therapeutic futility at the end of life. Why are we not ceasing chemotherapy when it is useless, toxic, logistically complex and expensive? Are we prescribing chemotherapy until too late in solid tumor patientsʼ lives? Medical oncologists have overly optimistic predictions and, excessive, treatment-prone attitude and they are criticized by other health care providers for this. Increasingly, patients, their families, advocacy groups, policy makers, journalists and society at large dwell on this topic, which is a perplexing conundrum, because sometimes they are the ones demanding not to stop aggressive systemic anticancer treatments, when it comes to their loved ones. There is a growing culture of awareness toward preserving quality of life, palliative care, symptom-directed care, hospice referral and end of life issues regarding terminal cancer patients. Sadly, this issue is gaining momentum, not because oncologists are questioning their practice but because health care costs are soaring. Whatever the motive, the reasons for administering chemotherapy at the end of life should be known. There are few and conflicting scientific data to guide treatments in this delicate setting and we review this evidence in this paper. Conclusion: What is the future of breast cancer care? This work ends with a view into the future of BC care. Looking into the different areas from prevention, screening, hereditary BC, local, regional and systemic treatments of adjuvant and metastatic patients. The last three paragraphs are a final comment where the story of a patient with Her2 positive locally advanced breast cancer is used as paradigm of evolution, heterogeneity and dynamism in the management of BC.
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Abiotic factors are considered strong drivers of species distribution and assemblages. Yet these spatial patterns are also influenced by biotic interactions. Accounting for competitors or facilitators may improve both the fit and the predictive power of species distribution models (SDMs). We investigated the influence of a dominant species, Empetrum nigrum ssp. hermaphroditum, on the distribution of 34 subordinate species in the tundra of northern Norway. We related SDM parameters of those subordinate species to their functional traits and their co-occurrence patterns with E. hermaphroditum across three spatial scales. By combining both approaches, we sought to understand whether these species may be limited by competitive interactions and/or benefit from habitat conditions created by the dominant species. The model fit and predictive power increased for most species when the frequency of occurrence of E. hermaphroditum was included in the SDMs as a predictor. The largest increase was found for species that 1) co-occur most of the time with E. hermaphroditum, both at large (i.e. 750 m) and small spatial scale (i.e. 2 m) or co-occur with E. hermaphroditum at large scale but not at small scale and 2) have particularly low or high leaf dry matter content (LDMC). Species that do not co-occur with E. hermaphroditum at the smallest scale are generally palatable herbaceous species with low LDMC, thus showing a weak ability to tolerate resource depletion that is directly or indirectly induced by E. hermaphroditum. Species with high LDMC, showing a better aptitude to face resource depletion and grazing, are often found in the proximity of E. hermaphroditum. Our results are consistent with previous findings that both competition and facilitation structure plant distribution and assemblages in the Arctic tundra. The functional and co-occurrence approaches used were complementary and provided a deeper understanding of the observed patterns by refinement of the pool of potential direct and indirect ecological effects of E. hermaphroditum on the distribution of subordinate species. Our correlative study would benefit being complemented by experimental approaches.
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Background: Therapy of chronic hepatitis C (CHC) with pegIFNa/ribavirin achieves sustained virologic response (SVR) in ~55%. Pre-activation of the endogenous interferon system in the liver is associated non-response (NR). Recently, genome-wide association studies described associations of allelic variants near the IL28B (IFNλ3) gene with treatment response and with spontaneous clearance of the virus. We investigated if the IL28B genotype determines the constitutive expression of IFN stimulated genes (ISGs) in the liver of patients with CHC. Methods: We genotyped 93 patients with CHC for 3 IL28B single nucleotide polymorphisms (SNPs, rs12979860, rs8099917, rs12980275), extracted RNA from their liver biopsies and quantified the expression of IL28B and of 8 previously identified classifier genes which discriminate between SVR and NR (IFI44L, RSAD2, ISG15, IFI22, LAMP3, OAS3, LGALS3BP and HTATIP2). Decision tree ensembles in the form of a random forest classifier were used to calculate the relative predictive power of these different variables in a multivariate analysis. Results: The minor IL28B allele (bad risk for treatment response) was significantly associated with increased expression of ISGs, and, unexpectedly, with decreased expression of IL28B. Stratification of the patients into SVR and NR revealed that ISG expression was conditionally independent from the IL28B genotype, i.e. there was an increased expression of ISGs in NR compared to SVR irrespective of the IL28B genotype. The random forest feature score (RFFS) identified IFI27 (RFFS = 2.93), RSAD2 (1.88) and HTATIP2 (1.50) expression and the HCV genotype (1.62) as the strongest predictors of treatment response. ROC curves of the IL28B SNPs showed an AUC of 0.66 with an error rate (ERR) of 0.38. A classifier with the 3 best classifying genes showed an excellent test performance with an AUC of 0.94 and ERR of 0.15. The addition of IL28B genotype information did not improve the predictive power of the 3-gene classifier. Conclusions: IL28B genotype and hepatic ISG expression are conditionally independent predictors of treatment response in CHC. There is no direct link between altered IFNλ3 expression and pre-activation of the endogenous system in the liver. Hepatic ISG expression is by far the better predictor for treatment response than IL28B genotype.
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The study centers on the power of Right-Wing Authoritarianism (RWA) and Social Dominance Orientation (SDO) as predictors of prejudice against stereotypical and nonstereotypical homosexuals under the threat of death and the threat of uncertainty. Right-wing authoritarianism (RWA) is an individual difference variable that measures the tendency for individuals to unquestionably follow those perceived to be authorities. Social Dominance Orientation (SDO) is an individual difference variable that measures the degree to which an individual prefers inequality among social groups. The RWA and SDO Scales are considered to be two of the strongest predictors of prejudice, such as prejudice against homosexuals. The study focuses on the unique predictive power of these two variables in predicting prejudice against homosexuals. The study also examines the role of situational threat in prejudice, specifically the threat of death (mortality salience) and the threat of uncertainty (uncertainty salience). Competing predictions from theories involving the threat of death (Terror Management Theory) and the threat of uncertainty (Uncertainty Management Theory) are also tested. The preference for expected information in the form of stereotypes concerning male homosexuals (that is, a stereotypical or non-stereotypical homosexual) were tested. The difference between the predictive power ofRWA and SDO was examined by measuring how these variables predict liking of a stereotypical or non-stereotypical homosexual under the threat of death, the threat of uncertainty, or a control condition. Along with completing a measure for RWA and a measure for SDO, participants were asked to think of their own death, of their being uncertain or about watching television then were asked to read about a week in the life of either a stereotypical or non-stereotypical male homosexual. Participants were then asked to evaluate the individual and his essay. Based on the participants' evaluations, results from 180 heterosexual university students show that RWA and SDO are strong predictors for disliking of a stereotypical homosexual under the threat of uncertainty and disliking of a non-stereotypical homosexual under the threat of death. Furthermore, however, results show that RWA is a particularly strong predictor of disliking of a stereotypical homosexual under the threat of uncertainty, whereas SDO is an exceptionally strong predictor of disliking of the non-stereotypical homosexual under the threat of death. This further adds to the notion that RWA and SDO are indeed unique predictors of prejudice. Implications are also explored, including the fact that the study simuhaneously examined the role of individual difference variables and situational threat variables, as well as exploratory analysis on Dominating Authoritarians.
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The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To test the impact of the choice of cut-off points and sampling procedures, three bankruptcy prediction models are assessed- Bayesian, Hazard and Mixed Logit. A salient feature of the study is that the analysis includes both parametric and nonparametric bankruptcy prediction models. A sample of firms from Lynn M. LoPucki Bankruptcy Research Database in the U. S. was used to evaluate the relative performance of the three models. The choice of a cut-off point and sampling procedures were found to affect the rankings of the various models. In general, the results indicate that the empirical cut-off point estimated from the training sample resulted in the lowest misclassification costs for all three models. Although the Hazard and Mixed Logit models resulted in lower costs of misclassification in the randomly selected samples, the Mixed Logit model did not perform as well across varying business-cycles. In general, the Hazard model has the highest predictive power. However, the higher predictive power of the Bayesian model, when the ratio of the cost of Type I errors to the cost of Type II errors is high, is relatively consistent across all sampling methods. Such an advantage of the Bayesian model may make it more attractive in the current economic environment. This study extends recent research comparing the performance of bankruptcy prediction models by identifying under what conditions a model performs better. It also allays a range of user groups, including auditors, shareholders, employees, suppliers, rating agencies, and creditors' concerns with respect to assessing failure risk.
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For predicting future volatility, empirical studies find mixed results regarding two issues: (1) whether model free implied volatility has more information content than Black-Scholes model-based implied volatility; (2) whether implied volatility outperforms historical volatilities. In this thesis, we address these two issues using the Canadian financial data. First, we examine the information content and forecasting power between VIXC - a model free implied volatility, and MVX - a model-based implied volatility. The GARCH in-sample test indicates that VIXC subsumes all information that is reflected in MVX. The out-of-sample examination indicates that VIXC is superior to MVX for predicting the next 1-, 5-, 10-, and 22-trading days' realized volatility. Second, we investigate the predictive power between VIXC and alternative volatility forecasts derived from historical index prices. We find that for time horizons lesser than 10-trading days, VIXC provides more accurate forecasts. However, for longer time horizons, the historical volatilities, particularly the random walk, provide better forecasts. We conclude that VIXC cannot incorporate all information contained in historical index prices for predicting future volatility.