Investigating the performance of automatic new topic identification across multiple datasets 1

Recent studies on automatic new topic identification in Web search engine user sessions demonstrated that neural networks are successful in automatic new topic identification. However most of this work applied their new topic identification algorithms on data logs from a single search engine. In this study, we investigate whether the application of neural networks for automatic new topic identification are more successful on some search engines than others. Sample data logs from the Norwegian search engine FAST (currently owned by Overture) and Excite are used in this study. Findings of this study suggest that query logs with more topic shifts tend to provide more successful results on shift-based performance measures, whereas logs with more topic continuations tend to provide better results on continuation-based performance measures.

Bayesian correlated clustering to integrate multiple datasets.

MOTIVATION: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct-but often complementary-information. We present a Bayesian method for the unsupervised integrative modelling of multiple datasets, which we refer to as MDI (Multiple Dataset Integration). MDI can integrate information from a wide range of different datasets and data types simultaneously (including the ability to model time series data explicitly using Gaussian processes). Each dataset is modelled using a Dirichlet-multinomial allocation (DMA) mixture model, with dependencies between these models captured through parameters that describe the agreement among the datasets. RESULTS: Using a set of six artificially constructed time series datasets, we show that MDI is able to integrate a significant number of datasets simultaneously, and that it successfully captures the underlying structural similarity between the datasets. We also analyse a variety of real Saccharomyces cerevisiae datasets. In the two-dataset case, we show that MDI's performance is comparable with the present state-of-the-art. We then move beyond the capabilities of current approaches and integrate gene expression, chromatin immunoprecipitation-chip and protein-protein interaction data, to identify a set of protein complexes for which genes are co-regulated during the cell cycle. Comparisons to other unsupervised data integration techniques-as well as to non-integrative approaches-demonstrate that MDI is competitive, while also providing information that would be difficult or impossible to extract using other methods.

The Maunder minimum (1645-1715) was indeed a grand minimum: a reassessment of multiple datasets

Aims. Although the time of the Maunder minimum (1645–1715) is widely known as a period of extremely low solar activity, it is still being debated whether solar activity during that period might have been moderate or even higher than the current solar cycle (number 24). We have revisited all existing evidence and datasets, both direct and indirect, to assess the level of solar activity during the Maunder minimum. Methods. We discuss the East Asian naked-eye sunspot observations, the telescopic solar observations, the fraction of sunspot active days, the latitudinal extent of sunspot positions, auroral sightings at high latitudes, cosmogenic radionuclide data as well as solar eclipse observations for that period. We also consider peculiar features of the Sun (very strong hemispheric asymmetry of the sunspot location, unusual differential rotation and the lack of the K-corona) that imply a special mode of solar activity during the Maunder minimum. Results. The level of solar activity during the Maunder minimum is reassessed on the basis of all available datasets. Conclusions. We conclude that solar activity was indeed at an exceptionally low level during the Maunder minimum. Although the exact level is still unclear, it was definitely lower than during the Dalton minimum of around 1800 and significantly below that of the current solar cycle #24. Claims of a moderate-to-high level of solar activity during the Maunder minimum are rejected with a high confidence level.

Connectivity mapping using a combined gene signature from multiple colorectal cancer datasets identified candidate drugs including existing chemotherapies

BACKGROUND: While the discovery of new drugs is a complex, lengthy and costly process, identifying new uses for existing drugs is a cost-effective approach to therapeutic discovery. Connectivity mapping integrates gene expression profiling with advanced algorithms to connect genes, diseases and small molecule compounds and has been applied in a large number of studies to identify potential drugs, particularly to facilitate drug repurposing. Colorectal cancer (CRC) is a commonly diagnosed cancer with high mortality rates, presenting a worldwide health problem. With the advancement of high throughput omics technologies, a number of large scale gene expression profiling studies have been conducted on CRCs, providing multiple datasets in gene expression data repositories. In this work, we systematically apply gene expression connectivity mapping to multiple CRC datasets to identify candidate therapeutics to this disease.

RESULTS: We developed a robust method to compile a combined gene signature for colorectal cancer across multiple datasets. Connectivity mapping analysis with this signature of 148 genes identified 10 candidate compounds, including irinotecan and etoposide, which are chemotherapy drugs currently used to treat CRCs. These results indicate that we have discovered high quality connections between the CRC disease state and the candidate compounds, and that the gene signature we created may be used as a potential therapeutic target in treating the disease. The method we proposed is highly effective in generating quality gene signature through multiple datasets; the publication of the combined CRC gene signature and the list of candidate compounds from this work will benefit both cancer and systems biology research communities for further development and investigations.

De-Identification of health records using Anonym: Effectiveness and robustness across datasets

Objective Evaluate the effectiveness and robustness of Anonym, a tool for de-identifying free-text health records based on conditional random fields classifiers informed by linguistic and lexical features, as well as features extracted by pattern matching techniques. De-identification of personal health information in electronic health records is essential for the sharing and secondary usage of clinical data. De-identification tools that adapt to different sources of clinical data are attractive as they would require minimal intervention to guarantee high effectiveness. Methods and Materials The effectiveness and robustness of Anonym are evaluated across multiple datasets, including the widely adopted Integrating Biology and the Bedside (i2b2) dataset, used for evaluation in a de-identification challenge. The datasets used here vary in type of health records, source of data, and their quality, with one of the datasets containing optical character recognition errors. Results Anonym identifies and removes up to 96.6% of personal health identifiers (recall) with a precision of up to 98.2% on the i2b2 dataset, outperforming the best system proposed in the i2b2 challenge. The effectiveness of Anonym across datasets is found to depend on the amount of information available for training. Conclusion Findings show that Anonym compares to the best approach from the 2006 i2b2 shared task. It is easy to retrain Anonym with new datasets; if retrained, the system is robust to variations of training size, data type and quality in presence of sufficient training data.

Multiple stages classification of Alzheimer’s disease based on structural brain networks using generalized low rank approximations (GLRAM)

To classify each stage for a progressing disease such as Alzheimer’s disease is a key issue for the disease prevention and treatment. In this study, we derived structural brain networks from diffusion-weighted MRI using whole-brain tractography since there is growing interest in relating connectivity measures to clinical, cognitive, and genetic data. Relatively little work has usedmachine learning to make inferences about variations in brain networks in the progression of the Alzheimer’s disease. Here we developed a framework to utilize generalized low rank approximations of matrices (GLRAM) and modified linear discrimination analysis for unsupervised feature learning and classification of connectivity matrices. We apply the methods to brain networks derived from DWI scans of 41 people with Alzheimer’s disease, 73 people with EMCI, 38 people with LMCI, 47 elderly healthy controls and 221 young healthy controls. Our results show that this new framework can significantly improve classification accuracy when combining multiple datasets; this suggests the value of using data beyond the classification task at hand to model variations in brain connectivity.

Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease

Mixture models are a flexible tool for unsupervised clustering that have found popularity in a vast array of research areas. In studies of medicine, the use of mixtures holds the potential to greatly enhance our understanding of patient responses through the identification of clinically meaningful clusters that, given the complexity of many data sources, may otherwise by intangible. Furthermore, when developed in the Bayesian framework, mixture models provide a natural means for capturing and propagating uncertainty in different aspects of a clustering solution, arguably resulting in richer analyses of the population under study. This thesis aims to investigate the use of Bayesian mixture models in analysing varied and detailed sources of patient information collected in the study of complex disease. The first aim of this thesis is to showcase the flexibility of mixture models in modelling markedly different types of data. In particular, we examine three common variants on the mixture model, namely, finite mixtures, Dirichlet Process mixtures and hidden Markov models. Beyond the development and application of these models to different sources of data, this thesis also focuses on modelling different aspects relating to uncertainty in clustering. Examples of clustering uncertainty considered are uncertainty in a patient’s true cluster membership and accounting for uncertainty in the true number of clusters present. Finally, this thesis aims to address and propose solutions to the task of comparing clustering solutions, whether this be comparing patients or observations assigned to different subgroups or comparing clustering solutions over multiple datasets. To address these aims, we consider a case study in Parkinson’s disease (PD), a complex and commonly diagnosed neurodegenerative disorder. In particular, two commonly collected sources of patient information are considered. The first source of data are on symptoms associated with PD, recorded using the Unified Parkinson’s Disease Rating Scale (UPDRS) and constitutes the first half of this thesis. The second half of this thesis is dedicated to the analysis of microelectrode recordings collected during Deep Brain Stimulation (DBS), a popular palliative treatment for advanced PD. Analysis of this second source of data centers on the problems of unsupervised detection and sorting of action potentials or "spikes" in recordings of multiple cell activity, providing valuable information on real time neural activity in the brain.

An evaluation of crowd counting methods, features and regression models

Existing crowd counting algorithms rely on holistic, local or histogram based features to capture crowd properties. Regression is then employed to estimate the crowd size. Insufficient testing across multiple datasets has made it difficult to compare and contrast different methodologies. This paper presents an evaluation across multiple datasets to compare holistic, local and histogram based methods, and to compare various image features and regression models. A K-fold cross validation protocol is followed to evaluate the performance across five public datasets: UCSD, PETS 2009, Fudan, Mall and Grand Central datasets. Image features are categorised into five types: size, shape, edges, keypoints and textures. The regression models evaluated are: Gaussian process regression (GPR), linear regression, K nearest neighbours (KNN) and neural networks (NN). The results demonstrate that local features outperform equivalent holistic and histogram based features; optimal performance is observed using all image features except for textures; and that GPR outperforms linear, KNN and NN regression

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group

The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA-DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18-85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).

RNASeqBrowser: A genome browser for simultaneous visualization of raw strand specific RNAseq reads and UCSC genome browser custom tracks

Background Strand specific RNAseq data is now more common in RNAseq projects. Visualizing RNAseq data has become an important matter in Analysis of sequencing data. The most widely used visualization tool is the UCSC genome browser that introduced the custom track concept that enabled researchers to simultaneously visualize gene expression at a particular locus from multiple experiments. Our objective of the software tool is to provide friendly interface for visualization of RNAseq datasets. Results This paper introduces a visualization tool (RNASeqBrowser) that incorporates and extends the functionality of the UCSC genome browser. For example, RNASeqBrowser simultaneously displays read coverage, SNPs, InDels and raw read tracks with other BED and wiggle tracks -- all being dynamically built from the BAM file. Paired reads are also connected in the browser to enable easier identification of novel exon/intron borders and chimaeric transcripts. Strand specific RNAseq data is also supported by RNASeqBrowser that displays reads above (positive strand transcript) or below (negative strand transcripts) a central line. Finally, RNASeqBrowser was designed for ease of use for users with few bioinformatic skills, and incorporates the features of many genome browsers into one platform. Conclusions The features of RNASeqBrowser: (1) RNASeqBrowser integrates UCSC genome browser and NGS visualization tools such as IGV. It extends the functionality of the UCSC genome browser by adding several new types of tracks to show NGS data such as individual raw reads, SNPs and InDels. (2) RNASeqBrowser can dynamically generate RNA secondary structure. It is useful for identifying non-coding RNA such as miRNA. (3) Overlaying NGS wiggle data is helpful in displaying differential expression and is simple to implement in RNASeqBrowser. (4) NGS data accumulates a lot of raw reads. Thus, RNASeqBrowser collapses exact duplicate reads to reduce visualization space. Normal PC’s can show many windows of NGS individual raw reads without much delay. (5) Multiple popup windows of individual raw reads provide users with more viewing space. This avoids existing approaches (such as IGV) which squeeze all raw reads into one window. This will be helpful for visualizing multiple datasets simultaneously. RNASeqBrowser and its manual are freely available at http://www.australianprostatecentre.org/research/software/rnaseqbrowser webcite or http://sourceforge.net/projects/rnaseqbrowser/ webcite

The importance of modelling heterogeneity in complex disease: application to NIMH Schizophrenia Genetics Initiative data

As for other complex diseases, linkage analyses of schizophrenia (SZ) have produced evidence for numerous chromosomal regions, with inconsistent results reported across studies. The presence of locus heterogeneity appears likely and may reduce the power of linkage analyses if homogeneity is assumed. In addition, when multiple heterogeneous datasets are pooled, inter-sample variation in the proportion of linked families (alpha) may diminish the power of the pooled sample to detect susceptibility loci, in spite of the larger sample size obtained. We compare the significance of linkage findings obtained using allele-sharing LOD scores (LOD(exp))-which assume homogeneity-and heterogeneity LOD scores (HLOD) in European American and African American NIMH SZ families. We also pool these two samples and evaluate the relative power of the LOD(exp) and two different heterogeneity statistics. One of these (HLOD-P) estimates the heterogeneity parameter alpha only in aggregate data, while the second (HLOD-S) determines alpha separately for each sample. In separate and combined data, we show consistently improved performance of HLOD scores over LOD(exp). Notably, genome-wide significant evidence for linkage is obtained at chromosome 10p in the European American sample using a recessive HLOD score. When the two samples are combined, linkage at the 10p locus also achieves genome-wide significance under HLOD-S, but not HLOD-P. Using HLOD-S, improved evidence for linkage was also obtained for a previously reported region on chromosome 15q. In linkage analyses of complex disease, power may be maximised by routinely modelling locus heterogeneity within individual datasets, even when multiple datasets are combined to form larger samples.

Joint inversion of geophysical and hydrologic data during water infiltration

Tese de doutoramento, Ciências Geofísicas e da Geoinformação (Geofísica), Universidade de Lisboa, Faculdade de Ciências, 2014

Clinical decisions in breast cancer, a heterogenous disease

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.

iVici: Interrelational Visualization and Correlation Interface

Affiliation: Département de Biochimie, Faculté de médecine, Université de Montréal

How robust are observed and simulated precipitation responses to tropical ocean warming?

Robust responses and links between the tropical energy and water cycles are investigated using multiple datasets and climate models over the period 1979-2006. Atmospheric moisture and net radiative cooling provide powerful constraints upon future changes in precipitation. While moisture amount is robustly linked with surface temperature, the response of atmospheric net radiative cooling, derived from satellite data, is less coherent. Precipitation trends and relationships with surface temperature are highly sensitive to the data product and the time-period considered. Data from the Special Sensor Microwave Imager (SSM/I) produces the strongest trends in precipitation and response to warming of all the datasets considered. The tendency for moist regions to become wetter while dry regions become drier in response to warming is captured by both observations and models. Citation: John, V. O., R. P. Allan, and B. J. Soden (2009), How robust are observed and simulated precipitation responses to tropical ocean warming?