A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer.

To better understand the relationship between tumor-host interactions and the efficacy of chemotherapy, we have developed an analytical approach to quantify several biological processes observed in gene expression data sets. We tested the approach on tumor biopsies from individuals with estrogen receptor-negative breast cancer treated with chemotherapy. We report that increased stromal gene expression predicts resistance to preoperative chemotherapy with 5-fluorouracil, epirubicin and cyclophosphamide (FEC) in subjects in the EORTC 10994/BIG 00-01 trial. The predictive value of the stromal signature was successfully validated in two independent cohorts of subjects who received chemotherapy but not in an untreated control group, indicating that the signature is predictive rather than prognostic. The genes in the signature are expressed in reactive stroma, according to reanalysis of data from microdissected breast tumor samples. These findings identify a previously undescribed resistance mechanism to FEC treatment and suggest that antistromal agents may offer new ways to overcome resistance to chemotherapy.

Inhibitory Receptors Beyond T Cell Exhaustion.

Inhibitory receptors (iRs) are frequently associated with "T cell exhaustion". However, the expression of iRs is also dependent on T cell differentiation and activation. Therapeutic blockade of various iRs, also referred to as "checkpoint blockade", is showing -unprecedented results in the treatment of cancer patients. Consequently, the clinical potential in this field is broad, calling for increased research efforts and rapid refinements in the understanding of iR function. In this review, we provide an overview on the significance of iR expression for the interpretation of T cell functionality. We summarize how iRs have been strongly associated with "T cell exhaustion" and illustrate the parallel evidence on the importance of T cell differentiation and activation for the expression of iRs. The differentiation subsets of CD8 T cells (naïve, effector, and memory cells) show broad and inherent differences in iR expression, while activation leads to strong upregulation of iRs. Therefore, changes in iR expression during an immune response are often concomitant with T cell differentiation and activation. Sustained expression of iRs in chronic infection and in the tumor microenvironment likely reflects a specialized T cell differentiation. In these situations of prolonged antigen exposure and chronic inflammation, T cells are "downtuned" in order to limit tissue damage. Furthermore, we review the novel "checkpoint blockade" treatments and the potential of iRs as biomarkers. Finally, we provide recommendations for the immune monitoring of patients to interpret iR expression data combined with parameters of activation and differentiation of T cells.

The 16p11.2 rearrangments genetic paradigms for obesity and neurodevelopmental disorders.

Recent discoveries of recurrent and reciprocal Copy Number Variants (CNVs) using genome- wide studies have led to a new understanding of the etiology of neuropsychiatric disorders. CNVs represent loss (deletion) or gain (duplication) of genomic material. This thesis work is focused on CNVs at the 16p11.2 BP4-BP5 locus, which are among the most frequent etiologies of neurodevelopmental disorders and have been associated with Autism Spectrum Disorders (ASD), schizophrenia, cognitive impairment, alterations of brain size as well as obesity and underweight. Because deletion and duplication of the 16p11.2 locus occur frequently and recurrently (with the same breakpoints), CNVs at this locus represent a powerful paradigm to understand how a genomic region may modulate cognitive and behavioral traits as well as the relationship and shared mechanisms between distinct psychiatric diagnoses such as ASD and schizophrenia. The present dissertation includes three studies: 1) The first project aims at identifying structural brain-imaging endophenotypes in 16p11.2 CNVs carriers at risk for ASD and schizophrenia. The results show that gene dosage at the 16p11.2 locus modulates global brain volumes and neural circuitry, including the reward system, language and social cognition circuits. 2) The second investigates the neuropsychological profile in 16p11.2 deletion and duplication carriers. While deletion carriers show specific deficits in language and inhibition, the profile of duplication carriers is devoid of specific weaknesses and presents enhanced performance in a verbal memory task. 3) The third study on food-related behaviors in 16p11.2 deletion and duplication carriers shows that alterations of the reponse to satiety are present in CNV carriers before the onset of obesity, pointing toward a potential mechanism driving the Body Mass Index increase in deletion carriers. Dysfunctions in the reward system and dopaminergic circuitries could represent a common mechanism playing a role in the phenotype and could be investigated in future studies. Our data strongly suggest that complex cognitive traits correlate to gene dosage in humans. Larger studies including expression data would allow elucidating the contribution of specific genes to these different gene dosage effects. In conclusion, a systematic and careful investigation of cognitive, behavioral and intermediate phenotypes using a gene dosage paradigm has allowed us to advance our understanding of the 16p11.2 BP4-BP5 locus and its effects on neurodevelopment. -- La récente découverte de variations du nombre de copies (CNVs pour 'copy number variants') dans le génome humain a amélioré nos connaissances sur l'étiologie des troubles neuropsychiatriques. Un CNV représente une perte (délétion) ou un gain (duplication) de matériel génétique sur un segment chromosomique. Ce travail de thèse est focalisé sur les CNVs réciproques (délétion et duplication) dans la région 16p11.2 BP4-BP5. Ces CNVs sont une cause fréquente de troubles neurodéveloppementaux et ont été associés à des phénotypes « en miroir » tels que obésité/sous-poids ou macro/microcéphalie mais aussi aux troubles du spectre autistique (TSA), à la schizophrénie et au retard de développement/déficience intellectuelle. La fréquence et la récurrence de la délétion et de la duplication aux mêmes points de cassure font de ces CNVs un paradigme unique pour étudier la relation entre dosage génique et les traits cognitifs et comportementaux, ainsi que les mécanismes partagés par des troubles psychiatriques apparemment distincts tels que les TSA et la schizophrénie. Ce travail de thèse comporte trois études distinctes : 1) l'étude en neuroimagerie structurelle identifie les endophénotypes chez les porteurs de la délétion ou de la duplication. Les résultats montrent une influence du dosage génique sur le volume cérébral total et certaines structures dans les systèmes de récompense, du langage et de la cognition sociale. 2) L'étude des profils neuropsychologiques chez les porteurs de la délétion ou de la duplication montre que la délétion est associée à des troubles spécifiques du langage et de l'inhibition alors que les porteurs de la duplication ne montrent pas de faiblesse spécifique mais des performances mnésiques verbales supérieures à leur niveau cognitif global. 3) L'étude sur les comportements alimentaires met en évidence une altération de la réponse à la satiété qui est présente avant l'apparition de l'obésité. Un dysfonctionnement dans le système de récompense et les circuits dopaminergiques pourrait représenter un mécanisme commun aux différents phénotypes observés chez ces individus porteurs de CNVs au locus 16p11.2. En conclusion, l'utilisation du dosage génique comme outil d'investigation des phénotypes cliniques et endophénotypes nous a permis de mieux comprendre le rôle de la région 16p11.2 BP4-BP5 dans le neurodéveloppement.

An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21

Although approximately 50% of Down Syndrome (DS) patients have heart abnormalities, they exhibit an overprotection against cardiac abnormalities related with the connective tissue, for example a lower risk of coronary artery disease. A recent study reported a case of a person affected by DS who carried mutations in FBN1, the gene causative for a connective tissue disorder called Marfan Syndrome (MFS). The fact that the person did not have any cardiac alterations suggested compensation effects due to DS. This observation is supported by a previous DS meta-analysis at the molecular level where we have found an overall upregulation of FBN1 (which is usually downregulated in MFS). Additionally, that result was cross-validated with independent expression data from DS heart tissue. The aim of this work is to elucidate the role of FBN1 in DS and to establish a molecular link to MFS and MFS-related syndromes using a computational approach. To reach that, we conducted different analytical approaches over two DS studies (our previous meta-analysis and independent expression data from DS heart tissue) and revealed expression alterations in the FBN1 interaction network, in FBN1 co-expressed genes and FBN1-related pathways. After merging the significant results from different datasets with a Bayesian approach, we prioritized 85 genes that were able to distinguish control from DS cases. We further found evidence for several of these genes (47%), such as FBN1, DCN, and COL1A2, being dysregulated in MFS and MFS-related diseases. Consequently, we further encourage the scientific community to take into account FBN1 and its related network for the study of DS cardiovascular characteristics.

Identificació de nous gens que participen en la remodelació del sistema traqueal de Drosophila melanogaster

Un dels organismes model més utilitzats en experimentació genètica és la Drosophila melanogaster ja que la facilitat de manipulació genètica i la seva simplicitat permeten estudiar processos biològics amb múltiples aplicabilitats en diferents àmbits d’estudi com el desenvolupament embrionari i la morfogènesis. La morfogènesi es un dels esdeveniments més importants durant el desenvolupament embrionari que permet la formació dels diferent teixits i òrgans, i que depèn de l'expressió genètica i de l'activació i coordinació de diferents vies de senyalització. Entendre com es coordinen aquest processos es fonamental per conèixer com es forma un òrgan. Així, l’objectiu principal d’aquest Treball de Final de Grau és identificar nous gens implicats en la formació del sistema traqueal (el nostre òrgan model) mitjançant un mini-­‐cribratge funcional de gens que s’expressen en la tràquea, a més de generar eines per a l'estudi de la via de senyalització FGF/Bnl durant la remodelació del sistema traqueal mitjançant la tècnica de knock in. Per a dur-­‐ho a terme, amb el suport de la base de dades de Gens i Genomes de Drosophila melanogaster (mod-­‐ENCODE Tissue Expression Data) s’han seleccionat gens candidats expressats a la tràquea en estat larvari. Un cop identificats, s'ha estudiat la seva possible funció en el desenvolupament de les tràquees mitjançant el seu silenciament amb el sistema UAS-­‐Gal4. Així hem vist que Vein (CG10491), CG17098, No Ocelli (CG4491) i Peptidasa (CG4017) presenten diversos fenotips que afecten la formació dels traqueoblasts. També hem vist que Vein, lligand de la via EGF és necessari per a la proliferació i supervivència de les cèl·∙lules traqueals del sac aeri. Finalment s’ha iniciat la generació d'un knock in en el gen branchless (bnl). Per aquest motiu s'han amplificat les regions 5’ i 3’ de l’exó 2 del gen Bnl i s'ha iniciat la seva clonació dirigida al vector de destí pTV-­‐Cherry. Aquesta tècnica generarà eines que permetran entendre la funció del gen bnl durant la remodelació del sistema traqueal.

Functional Study of Oncogenic Transcription Factor ERG and its Signaling in Prostate Cancer

TMPRSS2–ERG is the most frequent type of genomic rearrangement present in prostate tumors, in which the 5- prime region of the TMPRSS2 gene is fused to the ERG oncogene. TMPRSS2, containing androgen response elements (AREs), is regulated by androgens in the prostate. The truncated TMPRSS2-ERG fusion transcript is overexpressed in half of the prostate cancer patients. The formation of TMPRSS2-ERG transcript is an early event in prostate carcinogenesis and previous in vivo and in vitro studies have shown ectopic ERG expression to be associated with increased cell invasion. However, the molecular function of ERG and its role in cell signaling is poorly understood. In this study, genomic rearrangement of ERG with TMPRSS2 was studied by using comparative genomic hybridization (CGH) in prostate cancer samples. The biological processes associated with the ERG oncogene expression in prostate epithelial cells were studied, and the results were compared with findings observed in clinical prostate tumor samples. The gene expression data indicated that increased WNT signaling and loss of cell adhesion were a characteristic of TMPRSS2- ERG fusion positive prostate tumor samples. Up- regulation of WNT pathway genes were present in ERG positive prostate tumors, with frizzled receptor 4 (FZD4) presenting with the highest association with ERG overexpression, as verified by quantitative reverse transcription-PCR, immunostaining, and immunoblotting in TMPRSS2-ERG positive VCaP prostate cancer cells. Furthermore, ERG and FZD4 silencing increased cell adhesion by inducing active β1-integrin and E-cadherin expression in VCaP cells. Furthermore, we found a novel inhibitor, 4-(chloromethyl) benzoyl chloride which inhibited the WNT signaling and induced similar phenotypic effects as observed after ERG or FZD4 down regulation in VCaP cells. In conclusion, this work deepens our understanding on the complex oncogenic mechanisms of ERG in prostate cancer that may help in developing drugs against TMPRSS2-ERG positive tumors.

Quantitative Analysis of Novel Prostate Cancer Markers in Tissue

Prostate cancer is a heterogeneous disease affecting an increasing number of men all over the world, but particularly in the countries with the Western lifestyle. The best biomarker assay currently available for the diagnosis of the disease, the measurement of prostate specific antigen (PSA) levels from blood, lacks specificity, and even when combined with invasive tests such as digital rectal exam and prostate tissue biopsies, these methods can both miss cancers, and lead to overdiagnosis and subsequent overtreatment of cancers. Moreover, they cannot provide an accurate prognosis for the disease. Due to the high prevalence of indolent prostate cancers, the majority of men affected by prostate cancer would be able to live without any medical intervention. Their latent prostate tumors would not cause any clinical symptoms during their lifetime, but few are willing to take the risk, as currently there are no methods or biomarkers to reliably differentiate the indolent cancers from the aggressive, lethal cases that really are in need of immediate medical treatment. This doctoral work concentrated on validating 12 novel candidate genes for use as biomarkers for prostate cancer by measuring their mRNA expression levels in prostate tissue and peripheral blood of men with cancer as well as unaffected individuals. The panel of genes included the most prominent markers in the current literature: PCA3 and the fusion gene TMPRSS2-ERG, in addition to BMP-6, FGF-8b, MSMB, PSCA, SPINK1, and TRPM8; and the kallikrein-related peptidase genes 2, 3, 4, and 15. Truly quantitative reverse-transcription PCR assays were developed for each of the genes for the purpose, time-resolved fluorometry was applied in the real-time detection of the amplification products, and the gene expression data were normalized by using artificial internal RNA standards. Cancer-related, statistically significant differences in gene transcript levels were found for TMPRSS2-ERG, PCA3, and in a more modest scale, for KLK15, PSCA, and SPINK1. PCA3 RNA was found in the blood of men with metastatic prostate cancer, but not in localized cases of cancer, suggesting limitations for using this method for early cancer detection in blood. TMPRSS2-ERG mRNA transcripts were found more frequently in cancerous than in benign prostate tissues, but they were present also in 51% of the histologically benign prostate tissues of men with prostate cancer, while being absent in specimens from men without any signs of prostate cancer. PCA3 was shown to be 5.8 times overexpressed in cancerous tissue, but similarly to the fusion gene mRNA, its levels were upregulated also in the histologically benign regions of the tissue if the corresponding prostate was harboring carcinoma. These results indicate a possibility to utilize these molecular assays to assist in prostate cancer risk evaluation especially in men with initially histologically negative biopsies.

Adopting the Vaadin Java framework to rebuild VTT’s Web Interfaces and Database Applications

With the growth in new technologies, using online tools have become an everyday lifestyle. It has a greater impact on researchers as the data obtained from various experiments needs to be analyzed and knowledge of programming has become mandatory even for pure biologists. Hence, VTT came up with a new tool, R Executables (REX) which is a web application designed to provide a graphical interface for biological data functions like Image analysis, Gene expression data analysis, plotting, disease and control studies etc., which employs R functions to provide results. REX provides a user interactive application for the biologists to directly enter the values and run the required analysis with a single click. The program processes the given data in the background and prints results rapidly. Due to growth of data and load on server, the interface has gained problems concerning time consumption, poor GUI, data storage issues, security, minimal user interactive experience and crashes with large amount of data. This thesis handles the methods by which these problems were resolved and made REX a better application for the future. The old REX was developed using Python Django and now, a new programming language, Vaadin has been implemented. Vaadin is a Java framework for developing web applications and the programming language is extremely similar to Java with new rich components. Vaadin provides better security, better speed, good and interactive interface. In this thesis, subset functionalities of REX was selected which includes IST bulk plotting and image segmentation and implemented those using Vaadin. A code of 662 lines was programmed by me which included Vaadin as the front-end handler while R language was used for back-end data retrieval, computing and plotting. The application is optimized to allow further functionalities to be migrated with ease from old REX. Future development is focused on including Hight throughput screening functions along with gene expression database handling

Caractérisation clinique et moléculaire de nouvelles translocations chromosomiques ciblant le gène RUNX1 dans les leucémies aiguës de l’adulte

La leucémie aiguë myéloïde est une hémopathie maligne génétiquement hétérogène caractérisée par de fréquents réarrangements impliquant la bande chromosomique 21q22 et le gène RUNX1. Dans ce groupe d’anomalies, les translocations t(8;21)(q22;q22) et t(3;21)(q26;q22), associées respectivement à un pronostic favorable et défavorable, sont les mieux étudiées. Or, plus de la moitié des réarrangements ciblant RUNX1 ne sont toujours pas caractérisés au niveau clinique et moléculaire. Les principaux objectifs de cette thèse sont de caractériser quatre nouvelles translocations ciblant RUNX1 et d’étudier la dérégulation transcriptionnelle associée à ces anomalies au niveau de cibles plus spécifiques ayant un rôle dans l’auto-renouvellement ou dans la différenciation hématopoïétique. À l’aide des techniques de cytogénétique et de biologie moléculaire, deux nouveaux partenaires de RUNX1, soit CLCA2 et SV2B, ont été identifiés au sein des t(1;21)(p22.3;q22) et t(15;21)(q26.1;q22) et la récurrence des partenaires USP42 et TRPS1 a été démontrée suite à l’étude des t(7;21)(p22.1;q22) et t(8;21)(q23.3;q22). Ce travail a permis de confirmer l’existence de divers modes de dérégulation de RUNX1 dans les leucémies aiguës. L’expression présumée de protéines chimériques et/ou d’isoformes tronquées de RUNX1, un dosage aberrant des transcrits de RUNX1 et la surexpression des gènes partenaires sont des conséquences révélées par l’étude de ces fusions. Le séquençage et l’analyse des jonctions génomiques des fusions récurrentes RUNX1-USP42/USP42-RUNX1 et RUNX1-TRPS1/TRPS1-RUNX1 ont démontré la présence de signatures moléculaires caractéristiques du mode de recombinaison non-homologue de type NHEJ. En raison de la structure et de la composition différente des jonctions, l’implication de composantes distinctes du mécanisme NHEJ a été proposée. Enfin, des analyses par PCR quantitative en temps réel nous ont permis de démontrer l’existence de cibles de dérégulation partagées par les fusions récurrentes et plus rares de RUNX1. Nous avons démontré que CEBPA est moins exprimé dans la majorité des spécimens étudiés présentant une fusion de RUNX1 par rapport aux spécimens avec un caryotype normal alors que JUP, une composante effectrice de la voie Wnt, est plutôt surexprimé. Malgré l’activation transcriptionnelle de JUP dans l’ensemble de ces spécimens, certaines cibles de la voie Wnt telles que CCND1 et MYC sont différemment exprimées dans ces cellules, appuyant l’hétérogénéité décrite dans ce groupe de leucémies. Malgré l’implication de partenaires variés, nos données d’expression démontrent que les chimères et les protéines tronquées de RUNX1 partagent des cibles communes d’activation et de répression transcriptionnelle et établissent, pour la première fois, des évidences moléculaires suggérant l’existence de similitudes entre la fusion récurrente RUNX1-RUNX1T1 et quatre fusions plus rares de RUNX1. Puisque des rechutes surviennent fréquemment dans ce groupe génétique, l’inhibition de JUP pourrait être une option thérapeutique intéressante et ceci est appuyé par les bénéfices observés lors de l’inhibition de la voie Wnt dans d’autres groupes génétiques de leucémies aiguës.

Modélisation des bi-grappes et sélection des variables pour des données de grande dimension : application aux données d’expression génétique

Les simulations ont été implémentées avec le programme Java.

La glycine décarboxylase désensibilise les cellules initiatrices de tumeur à la metformine

Le cancer du pancréas est l’un des plus chimiorésistants, avec un taux de survie sur 5 ans inférieur à 5%. La chimiorésistance pourrait être due à la présence de cellules initiatrices de tumeur (TICs), une petite sous-population des cellules tumorales possédant la capacité de régénérer une nouvelle tumeur. Il a été démontré que la metformine cible les TICs par un mécanisme non élucidé. Il est connu que la metformine affecte le métabolisme du carbone. Il a également été démontré que le métabolisme du carbone, plus précisément la glycine décarboxylase (GLDC), est à la fois nécessaire et suffisant à l’acquisition de propriétés d’initiation tumorale. Nous proposons que la metformine cible les cellules initiatrices de tumeur en affectant le métabolisme du carbone. Nous avons utilisé des lignées cellulaires dérivées d’un modèle murin de cancer du pancréas pour comparer l’expression génique de lésions bénignes versus malignes. Les cellules malignes surexpriment Gldc. La metformine diminue l’expression de Gldc, et la surexpression de Gldc diminue la sensibilité à la metformine dans un essai de sphères tumorales. La metformine induit une augmentation du ratio NADP+/NADPH, et la surexpression de Gldc empêche cette augmentation. Nous proposons que la metformine diminue l’expression de Gldc, ce qui cause une diminution du flux du métabolisme du carbone, et donc une diminution de la production de NADPH par ce dernier. L’augmentation du ratio NADP+/NADPH inhibe la synthèse des acides gras et la régénération de la glutathione, ce qui pourrait expliquer la diminution de la formation de sphères tumorales sous traitement metformine.

Zelluläre und biochemische Charakterisierung der bifunktionalen Methyltransferase Dnmt2

Seit der Entdeckung der Methyltransferase 2 als hoch konserviertes und weit verbreitetes Enzym sind zahlreiche Versuche zur vollständigen Charakterisierung erfolgt. Dabei ist die biologische Funktion des Proteins ein permanent umstrittener Punkt. In dieser Arbeit wird dnmA als sensitiver Oszillator bezüglich des Zellzyklus und weiterer Einflüsse gezeigt. Insgesamt liegt der Hauptfokus auf der Untersuchung der in vivo Charakterisierung des Gens, der endogenen subzellulären Verteilung, sowie der physiologischen Aufgaben des Proteins in vivo in D. discoideum. Um Hinweise auf Signalwege in vivo zu erhalten, in denen DnmA beteiligt ist, war es zunächst notwendig, eine detaillierte Analyse des Gens anzufertigen. Mit molekularbiologisch äußerst sensitiven Methoden, wie beispielsweise Chromatin‐IP oder qRT‐PCR, konnte ein vollständiges Expressionsprofil über den Zell‐ und Lebenszyklus von D. discoideum angelegt werden. Besonders interessant sind dabei die Ergebnisse eines ursprünglichen Wildtypstammes (NC4), dessen dnmA‐Expressionsprofil quantitativ von anderen Wildtypstämmen abweicht. Auch auf Proteinebene konnten Zellzyklus‐abhängige Effekte von DnmA bestimmt werden. Durch mikroskopische Untersuchungen von verschiedenen DnmA‐GFP‐Stämmen wurden Lokalisationsänderungen während der Mitose gezeigt. Weiterhin wurde ein DnmA‐GFP‐Konstrukt unter der Kontrolle des endogenen Promotors generiert, wodurch das Protein in der Entwicklung eindeutig als Zelltypus spezifisches Protein, nämlich als Präsporen‐ bzw. Sporenspezifisches Protein, identifiziert werden konnte. Für die in vivo Analyse der katalytischen Aktivität des Enzyms konnten nun die Erkenntnisse aus der Charakterisierung des Gens bzw. Proteins berücksichtigt werden, um in vivo Substratkandidaten zu testen. Es zeigte sich, dass von allen bisherigen Substrat Kandidaten lediglich die tRNA^Asp als in vivo Substrat bestätigt werden konnte. Als besondere Erkenntnis konnte hierbei ein quantitativer Unterschied des Methylierungslevels zwischen verschiedenen Wildtypstämmen detektiert werden. Weiterhin wurde die Methylierung sowie Bindung an einen DNA‐Substratkandidaten ermittelt. Es konnte gezeigt werden, dass DnmA äußerst sequenzspezifisch mit Abschnitten des Retrotransposons DIRS‐1 in vivo eine Bindung eingeht. Auch für den Substrakandidaten snRNA‐U2 konnte eine stabile in vitro Komplexbildung zwischen U2 und hDnmt2 gezeigt werden. Insgesamt erfolgte auf Basis der ermittelten Expressionsdaten eine erneute Charakterisierung der Aktivität des Enzyms und der Substrate in vivo und in vitro.

Understanding Subsystems in Biology through Dimensionality Reduction, Graph Partitioning and Analytical Modeling

Biological systems exhibit rich and complex behavior through the orchestrated interplay of a large array of components. It is hypothesized that separable subsystems with some degree of functional autonomy exist; deciphering their independent behavior and functionality would greatly facilitate understanding the system as a whole. Discovering and analyzing such subsystems are hence pivotal problems in the quest to gain a quantitative understanding of complex biological systems. In this work, using approaches from machine learning, physics and graph theory, methods for the identification and analysis of such subsystems were developed. A novel methodology, based on a recent machine learning algorithm known as non-negative matrix factorization (NMF), was developed to discover such subsystems in a set of large-scale gene expression data. This set of subsystems was then used to predict functional relationships between genes, and this approach was shown to score significantly higher than conventional methods when benchmarking them against existing databases. Moreover, a mathematical treatment was developed to treat simple network subsystems based only on their topology (independent of particular parameter values). Application to a problem of experimental interest demonstrated the need for extentions to the conventional model to fully explain the experimental data. Finally, the notion of a subsystem was evaluated from a topological perspective. A number of different protein networks were examined to analyze their topological properties with respect to separability, seeking to find separable subsystems. These networks were shown to exhibit separability in a nonintuitive fashion, while the separable subsystems were of strong biological significance. It was demonstrated that the separability property found was not due to incomplete or biased data, but is likely to reflect biological structure.

Selecting Relevant Genes with a Spectral Approach

Array technologies have made it possible to record simultaneously the expression pattern of thousands of genes. A fundamental problem in the analysis of gene expression data is the identification of highly relevant genes that either discriminate between phenotypic labels or are important with respect to the cellular process studied in the experiment: for example cell cycle or heat shock in yeast experiments, chemical or genetic perturbations of mammalian cell lines, and genes involved in class discovery for human tumors. In this paper we focus on the task of unsupervised gene selection. The problem of selecting a small subset of genes is particularly challenging as the datasets involved are typically characterized by a very small sample size ?? the order of few tens of tissue samples ??d by a very large feature space as the number of genes tend to be in the high thousands. We propose a model independent approach which scores candidate gene selections using spectral properties of the candidate affinity matrix. The algorithm is very straightforward to implement yet contains a number of remarkable properties which guarantee consistent sparse selections. To illustrate the value of our approach we applied our algorithm on five different datasets. The first consists of time course data from four well studied Hematopoietic cell lines (HL-60, Jurkat, NB4, and U937). The other four datasets include three well studied treatment outcomes (large cell lymphoma, childhood medulloblastomas, breast tumors) and one unpublished dataset (lymph status). We compared our approach both with other unsupervised methods (SOM,PCA,GS) and with supervised methods (SNR,RMB,RFE). The results clearly show that our approach considerably outperforms all the other unsupervised approaches in our study, is competitive with supervised methods and in some case even outperforms supervised approaches.

Factores asociados a recaída en pacientes con cáncer de mama de una institución de Bogotá

Introducción: El cáncer de seno es la primera causa de cáncer entre las mujeres, además es la primera causa de muerte por cáncer entre las hispanas y la segunda entre otras razas, sin contar con el gran impacto social y económico que conlleva esta patología. Esto motiva la realización de estudios propios, que permitan ampliar nuestro conocimiento y aportar a la literatura colombiana, una publicación que refleje los factores asociados a la recaída en el cáncer de mama. Métodos: Estudio observacional analítico retrospectivo de casos y controles en el que se tomaron 267 historias clínicas de pacientes con diagnóstico de cáncer de seno, clasificadas según estadio clínico y expresión molecular del tumor, se analizaron los factores más fuertemente asociados a la recaída. Resultados: La población total consistió en 267 mujeres de las cuales 58 presentaron recaída, con un relación caso – control, 1:3. Al evaluar los grupos se evidencia homogeneidad en cuanto a edad, tipo de neoplasia, paridad e histología con lo que concluimos que estos grupos son comparables. Se presentó una tasa de mortalidad de 13,8 % en las pacientes que presentaron recaída tumoral vs un 0% de mortalidad en aquellas pacientes sin recaída. Adicionalmente se evidencia una relación entre la presencia del receptor HER 2 y recaída tumoral, que aunque no es estadísticamente significativa (p = 0.112) es importante tener en cuenta por su significancia clínica. Por su parte la presencia de receptor de estrógenos y progestágenos no es un predictor de recaída. La realización de cirugía se muestra como un factor de protección (OAR: 0.046 p = 0.008). Finalmente se encontró una asociación estadísticamente significativa como variables de asociación a recaída tumoral: la edad (p=0.009), el estadio clínico en el momento del diagnóstico (p= <0.001) y la clasificación molecular del tumor (p= 0.016). Conclusiones: Se identificaron como factores asociados a recaída tumoral en pacientes con cáncer de mama de una institución de Bogotá, Colombia a: la edad, el estadio clínico en el momento del diagnóstico y la clasificación molecular del tumor, confirmando la agresividad de los tumores triple negativos. Todos los hallazgos son compatibles a lo descrito en la literatura mundial. Esto permite definir la necesidad de generar en nuestro país estrategias de salud pública, que permitan la educación a todos los grupos etarios para el tamizaje en población joven que está siendo afectada, la detección en estadios tempranos del cáncer de mama, asociados a priorización del manejo y mejoras en la ruta de atención de las pacientes que permitan impactar positivamente en el desenlace y calidad de vida de las mujeres con esta patología. Adicionalmente estos resultados impulsan a la continua investigación de nuevas tecnologías y medicamentos que permitan combatir los tumores más agresivos molecularmente hablando.