Introdução: Em câncer de mama, existem evidências de que o microambiente pode influenciar o desenvolvimento do tumor no sítio primário, bem como em metástases regionais e a distância. Neste contexto, fibroblastos são importantes células estromais que podem influenciar a proliferação e a migração de células do câncer e podem prover um nicho apropriado para o desenvolvimento tumoral. Objetivos:O principal objetivo deste trabalho é comparar células estromais obtidas do tumor primário (PT), metástase linfonodal (N+) e medula óssea (BM) de pacientes com câncer de mama, através do perfil de expressão gênica. Pacientes e Métodos: Foi analisada a expressão gênica de fibroblastos (cultura primária) de 11 pacientes com câncer de mama. O perfil de expressão foi determinado em PT (n=4), N+(n=3) e BM (n=4) através de uma plataforma de cDNA microarray customizada (contendo 4.800 sequencias imobilizadas, representando cerca de 4600 genes), e os genes diferencialmente expressos foram identificados pelo teste SAM multiclasse, seguido pelo teste SAM de duas classes (TMEV, FDR 0%). A análise funcional foi realizada pelo software DAVID v6.7. Validação técnica foi realizada em 6 amostras previamente analisadas no microarray e a validação biológica em fibroblastos obtidos de outros 16 pacientes utilizando-se de RT-qPCR. Resultados: O perfil de expressão gênica dos fibroblastos obtidos de diferentes sítios mostraram 267 genes diferencialmente expressos, os quais apropriadamente agruparam os fibroblastos de acordo com suas origens (PT vs. N+ vs. BM). Apesar das diferenças entre PT e N+ serem representadas por 20 genes, as diferenças entre PT vs. BM e N+ vs BM foram mais significantes (235 e 245 genes diferencialmente expressos respectivamente). Análise funcional dos genes diferencialmente expressos mostrou enriquecimento de funções relacionadas ao desenvolvimento e morfogênese.A seguir, a expressão de alguns genes selecionados foi analisada em uma série diferente de amostras (validação biológica). Desse modo observamos que NOTCH2 confirmou uma alta expressão em N+ (vs. PT), e ADCY2, HECTD1, HNMT, LOX, MACF1 e USP16 confirmaram alta expressão em BM (vs PT). Conclusão:Em pacientes com câncer de mama, células estromais obtidas de diferentes origens apresentam um perfil de expressão gênica diferencial, o qual pode influenciar o comportamento do tumor / may influence tumor development in the primary site of breast cancer, as well as in regional and distant metastatic sites. In this context, fibroblasts are important stromal cells which influence proliferation and migration of cancer cells and may also provide an appropriate niche to tumor development. Objectives: The main objective of this work is the comparison of stromal cells from the primary tumor (PT), lymph node metastasis (N+) and bone marrow (BM) obtained from breast cancer patients, through gene expression profile. Patients and Methods: The gene expression profile was analyzed in fibroblasts primary culture from 11 breast cancer patients. The expression profiles of PT cells (n=4), N+ cells (n=3) and BM cells (n=4) were determined through a customized cDNA microarray platform (containing 4800 immobilized sequences which represents 4600 genes approximately). The analysis were performed by SAM multiclass (TMEV; FDR 0%), followed by SAM two classes test (TMEV; FDR 0%). Functional analysis was performed using DAVID v6.7. Technical validation was performed in same 6 samples that were previously analyzed in microarray experiments and biological validation was performed in fibroblasts obtained from other group of 16patients by RT-qPCR Results: The expression profile of fibroblasts obtained from three sites revealed 267 differentially expressed genes, which appropriately clustered fibroblasts in three different branches, in accordance with their origin (PT vs. N+ vs. BM). Although the differences between PT and N+ were represented by 20 genes, differences between PT vs. BM and N+ vs. BM were more significant (235 and 245 differentially expressed genes respectively). Functional analysis revealed enrichment of functions related to development and morphogenesis. Afterwards, the expression of some selected genes were analyzed in a different batch of samples (biological validation).Thereby, NOTCH2 confirmed high expression in N+ (vs. PT), and ADCY2, HECTD1, HNMT, LOX, MACF1 and USP16 confirmed high expression in BM (vs. PT). Conclusion: In breast cancer patients, stromal cells obtained from different origins present a differential gene expression profile, which may influence tumor behavior

Background: The endocrine pancreas contains multiple cell types co-localized into clusters called the Islets of Langerhans. The predominant cell types include alpha and beta cells, which produce glucagon and insulin, respectively. The regulated release of these hormones maintains whole body glucose homeostasis, essential for normal metabolism and to prevent diabetes and complications from the disease. Given the heterogeneous nature of islet composition and absence of unique surface markers, many previous studies have focused on the whole islet. Sorting islet cells by intracellular hormone expression overcomes this limitation and provides pure populations of individual islet cell subsets, specifically alpha and beta cells. This technique provides the framework for characterizing human islet composition and will work towards identifying the genetic changes alpha and beta cells undergo during development, growth, and proliferation. Methods: Human islets obtained from cadaveric donors are dissociated into a single cell suspension, fixed, permeabilized, and labeled with antibodies specific to glucagon, insulin, and somatostatin. Individual alpha, beta, and delta cell populations are simultaneously isolated using fluorescence activated cell sorting. Candidate gene expression and microRNA profiles have been obtained for alpha and beta cell populations using a quantitative nuclease protection assay. Thus far, RNA has been extracted from whole islets and beta cells and subjected to next generation sequencing analysis. Results: The ratio of beta to alpha cells significantly increases with donor age and trends higher in female donors; BMI does not appear to significantly alter the ratio. Further, we have begun to investigate the unique gene expression profiles of alpha and beta cells versus whole islets, and have characterized the microRNA profiles of the two cell subsets. Conclusions: By establishing methods to profile multiple characteristics of alpha and beta cells, we hope to determine how gene, miRNA, and protein expression patterns change under environmental conditions that lead to beta cell failure or promote beta cell development, growth, and proliferation.

INTRODUÇÃO: De acordo com a estimativa de 2012 do INCA, eram esperados 52.680 novos casos de câncer de mama no Brasil, com um risco estimado de 52 casos a cada 100 mil mulheres. Estes dados mostram a necessidade da identificação de biomarcadores efetivos para rastreamento precoce e seguimento destas mulheres durante seu tratamento. Neste trabalho, para a avaliação de potenciais biomarcadores desta doença, foi idealizado um modelo laboratorial específico que avalie tanto a capacidade de um dado biomarcador rastrear um tumor inicial de mama, bem como testar o seu potencial valor para o seguimento de mulheres já diagnosticadas durante seu tratamento. Este modelo baseia-se na avaliação de células tumorais circulantes e perfilamento gênico tumoral. MÉTODOS: Amostras biológicas (sangue periférico e tumor) de 167 pacientes diagnosticadas com carcinoma mamário estadios I, II e III com indicação de quimioterapia adjuvante para: a) avaliação da presença de células tumorais circulantes através da expressão de CK19 e HER2 na Fração Mononuclear do Sangue Periférico (FMNSP) por RT-PCR quantitativo e b) perfilamento gênico tumoral através da análise da expressão de 21 genes relacionados a importantes processos de carcinogênese mamária em amostras de tecido parafinado por ensaio multiplex de RT-PCR quantitativo utilizando o sistema Plexor®. RESULTADOS: Foi observada uma correlação significativa entre CK19 e HER2 na primeira coleta e queda da concentração de HER2 no SP durante o tratamento; porém, não foi percebida queda significativa do CK19 ao longo do estudo. A expressão de HER2 na segunda coleta de pacientes positivas para HER2 na primeira coleta tendeu a se correlacionar significativamente com um pior Intervalo Livre de Doença (ILD). Através da padronização da pontuação em quartis das análises realizadas em multiplex pelo sistema Plexor, foi percebido que o quartil superior apresentava ILD significativa pior do que a de pacientes nos demais quartis. Também foi observada uma estratificação do estadio clínico II em pior ou melhor prognóstico de acordo com o quartil de pontuação do teste de perfilamento proposto neste estudo; além disso, verificou-se que pacientes submetidas a tratamento neoadjuvante com pontuações inferiores tenderam a responder melhor à quimioterapia. CONCLUSÃO: Pelas características do comportamento evolutivo no presente estudo, HER2 parece ser melhor como possível biomarcador de células tumorais circulantes do que o CK-19. Até o presente momento do seguimento das pacientes incluídas neste estudo, não foi possível criar um modelo com diversas variáveis para prever o prognóstico de pacientes com câncer de mama. Isto ocorreu principalmente pelas características preditivas prognósticas superiores do perfilamento genético do tumor que desloca fatores de prognóstico tais como células circulantes e estadio clínico, expressão hormonal do tumor e idade de um modelo multivariado. Por outro lado, foi padronizada uma tecnologia genômica complexa que poderá viabilizar seu uso para a população se estudos posteriores confirmarem seu valor em outras coortes de pacientes com câncer de mama / BACKGROUND: According to the estimate of 2012 INCA, were expected 52,680 cases of breast cancer in Brazil, with an estimated risk of 52 cases per 100 000 women. These data show the need for effective identification of biomarkers for early screening and follow-up of these women during their treatment. In this work, for the evaluation of potential biomarkers of this disease, a model laboratory was designed to evaluate both the specific capacity of a given biomarker trace an initial breast tumor, as well as test its potential value for the follow-up of women already diagnosed during their treatment. This model was based on the evaluation of circulating tumor cells and tumor gene profiling. METHODS: Biological samples (peripheral blood and tumor) of 167 patients diagnosed with breast cancer stages I, II and III with an indication for adjuvant chemotherapy: a) to evaluate the presence of circulating tumor cells through the expression of HER2 and CK19 in Peripheral Blood Mononuclear fraction (PBMN) by quantitative RT-PCR and b) tumor profiling gene by analyzing the expression of 21 genes related to important processes of mammary carcinogenesis in paraffinized tissue samples by multiplex assay for quantitative RT-PCR using the Plexor ® System. RESULTS: Was observed a significant correlation between HER2 and CK19 in the first collection and decrease in concentration of HER2 in PB during the treatment, but were not perceived significant decrease of CK19 along the study. The expression of HER2 in the second collection of patients positive for HER2 in the first test tended to correlate with a significantly worse disease-free interval (DFI). Through standardization of the scores in quartiles of the analyzes performed at multiplex Plexor system was seen that the upper quartile ILD had significantly worse than patients in the other quartiles. Also stratification was observed in clinical stage II in better or worse prognosis according to quartiles of test score profiling proposed in this study, in addition, it was found that patients submitted to neoadjuvant treatment with lower scores tended to better respond to chemotherapy. CONCLUSION: HER2 seems to be better as possible biomarker of circulating tumor cells than the CK-19. So far the monitoring of patients included in this study, it was not possible to create a model with multiple variables to predict the prognosis of patients with breast cancer. This occurred primarily due to the characteristics predictive prognostic upper genetic profiling of tumor that displaces prognostic factors such as circulating cells and clinical stage, tumor hormone expression and age in a multivariate model. In the other hand, was standardized complex genomic technology that may enable their use for the population if further studies confirm its value in other cohorts of patients with breast cancer

Introdução: Em câncer de mama, existem evidências de que o microambiente pode influenciar o desenvolvimento do tumor no sítio primário, bem como em metástases regionais e a distância. Neste contexto, fibroblastos são importantes células estromais que podem influenciar a proliferação e a migração de células do câncer e podem prover um nicho apropriado para o desenvolvimento tumoral. Objetivos:O principal objetivo deste trabalho é comparar células estromais obtidas do tumor primário (PT), metástase linfonodal (N+) e medula óssea (BM) de pacientes com câncer de mama, através do perfil de expressão gênica. Pacientes e Métodos: Foi analisada a expressão gênica de fibroblastos (cultura primária) de 11 pacientes com câncer de mama. O perfil de expressão foi determinado em PT (n=4), N+(n=3) e BM (n=4) através de uma plataforma de cDNA microarray customizada (contendo 4.800 sequencias imobilizadas, representando cerca de 4600 genes), e os genes diferencialmente expressos foram identificados pelo teste SAM multiclasse, seguido pelo teste SAM de duas classes (TMEV, FDR 0%). A análise funcional foi realizada pelo software DAVID v6.7. Validação técnica foi realizada em 6 amostras previamente analisadas no microarray e a validação biológica em fibroblastos obtidos de outros 16 pacientes utilizando-se de RT-qPCR. Resultados: O perfil de expressão gênica dos fibroblastos obtidos de diferentes sítios mostraram 267 genes diferencialmente expressos, os quais apropriadamente agruparam os fibroblastos de acordo com suas origens (PT vs. N+ vs. BM). Apesar das diferenças entre PT e N+ serem representadas por 20 genes, as diferenças entre PT vs. BM e N+ vs BM foram mais significantes (235 e 245 genes diferencialmente expressos respectivamente). Análise funcional dos genes diferencialmente expressos mostrou enriquecimento de funções relacionadas ao desenvolvimento e morfogênese.A seguir, a expressão de alguns genes selecionados foi analisada em uma série diferente de amostras (validação biológica). Desse modo observamos que NOTCH2 confirmou uma alta expressão em N+ (vs. PT), e ADCY2, HECTD1, HNMT, LOX, MACF1 e USP16 confirmaram alta expressão em BM (vs PT). Conclusão:Em pacientes com câncer de mama, células estromais obtidas de diferentes origens apresentam um perfil de expressão gênica diferencial, o qual pode influenciar o comportamento do tumor / may influence tumor development in the primary site of breast cancer, as well as in regional and distant metastatic sites. In this context, fibroblasts are important stromal cells which influence proliferation and migration of cancer cells and may also provide an appropriate niche to tumor development. Objectives: The main objective of this work is the comparison of stromal cells from the primary tumor (PT), lymph node metastasis (N+) and bone marrow (BM) obtained from breast cancer patients, through gene expression profile. Patients and Methods: The gene expression profile was analyzed in fibroblasts primary culture from 11 breast cancer patients. The expression profiles of PT cells (n=4), N+ cells (n=3) and BM cells (n=4) were determined through a customized cDNA microarray platform (containing 4800 immobilized sequences which represents 4600 genes approximately). The analysis were performed by SAM multiclass (TMEV; FDR 0%), followed by SAM two classes test (TMEV; FDR 0%). Functional analysis was performed using DAVID v6.7. Technical validation was performed in same 6 samples that were previously analyzed in microarray experiments and biological validation was performed in fibroblasts obtained from other group of 16patients by RT-qPCR Results: The expression profile of fibroblasts obtained from three sites revealed 267 differentially expressed genes, which appropriately clustered fibroblasts in three different branches, in accordance with their origin (PT vs. N+ vs. BM). Although the differences between PT and N+ were represented by 20 genes, differences between PT vs. BM and N+ vs. BM were more significant (235 and 245 differentially expressed genes respectively). Functional analysis revealed enrichment of functions related to development and morphogenesis. Afterwards, the expression of some selected genes were analyzed in a different batch of samples (biological validation).Thereby, NOTCH2 confirmed high expression in N+ (vs. PT), and ADCY2, HECTD1, HNMT, LOX, MACF1 and USP16 confirmed high expression in BM (vs. PT). Conclusion: In breast cancer patients, stromal cells obtained from different origins present a differential gene expression profile, which may influence tumor behavior

Hepatocellular carcinoma (HCC) is a common malignancy of the liver that is one of the most frequent causes of cancer-related death in the world. Surgical resection and liver transplantation are the only curative options for HCC, and tumor invasion and metastasis render many patients ineligible for these treatments. Identification of the mechanisms that contribute to invasive and metastatic disease may enlighten therapeutic strategies for those not eligible for surgical treatments. In this dissertation, I describe two sets of experiments to elucidate mechanisms underlying HCC dissemination, involving the activities of Krüppel-like factor 6 and a particular p53 point mutation, R172H. Gene expression profiling of migratory HCC subpopulations demonstrated reduced expression of Krüppel-like factor 6 (KLF6) in invasive HCC cells. Knockdown of KLF6 in HCC cells increased cell transformation and migration. Single-copy deletion of Klf6 in a HCC mouse model results in increased tumor formation, increased metastasis to the lungs, and decreased survival, indicating that KLF6 suppresses both tumor formation and metastasis in HCC. To elucidate the mechanism of KLF6-mediated tumor and metastasis suppression, we performed gene expression profiling and ChIP-sequencing to identify direct transcriptional targets of KLF6 in HCC cells. This analysis revealed novel transcriptional targets of KLF6 in HCC including CDC42EP3 and VAV3, both of which are positive regulators of Rho family GTPases. Concordantly, KLF6 knockdown cells demonstrate increased activity of the Rho family GTPases RAC1 and CDC42, and RAC1 is required for migration induced following KLF6 knockdown. Moreover, VAV3 and CDC42EP3 are also required for enhanced cell migration in HCC cells with KLF6 knockdown. Together, this work describes a novel signaling axis through which KLF6-mediated repression of VAV3 and CDC42EP3 inhibits RAC1Gmediated HCC cell migration in culture, and potentially HCC metastasis in vivo. TP53 gene mutations are commonly found in HCC and are associated with poor prognosis. Prior studies have suggested that p53 mutants can display gain-of- function properties in other tumor types. Therefore, I sought to determine if a particular hotspot p53 mutation, p53R172H, provided enhanced, gain-of-function properties compared to p53 loss in HCC. In vitro, soft agar colony formation and cell migration is reduced upon knockdown of p53R172H, indicating that this mutation is required for transformation-associated phenotypes in these cells. However, p53R172H-expressing mice did not have enhanced tumor formation or metastasis compared to p53-null mice. These data suggest that p53R172H and p53 deletion are functionally equivalent in vivo, and that p53R172H is not a gain-of-function mutant in HCC. Inhibition of the related transcription factors p63 and p73 has been suggested as a potential mechanism by which mutant p53 exerts its gain-of-function effects. Analysis of p63 and p73 target genes demonstrated that they are similarly suppressed in p53-null and p53R172H-expressing HCC cell lines, suggesting a potential explanation for the phenotypes I observed in vivo and in vitro. Together, the studies described in this dissertation increase our understanding of the mechanisms underlying HCC progression and metastasis. Specifically, we find and characterize KLF6 as a novel suppressor of HCC metastasis, and determine the contribution of a common p53 point mutation in HCC. This work contributes to ongoing efforts to improve treatment options for HCC patients.

Analysis of gene expression has undergone a technological revolution. What was impossible 6 years ago is now routine. High-throughput DNA sequencing machines capable of generating hundreds of millions of reads allow, indeed force, a major revision toward the study of the genome’s functional output—the transcriptome. This thesis examines the history of DNA sequencing, measurement of gene expression by sequencing, isoform complexity driven by alternative splicing and mammalian piRNA precursor biogenesis. Examination of these topics is framed around development of a novel RNA-templated DNA-DNA ligation assay (SeqZip) that allows for efficient analysis of abundant, complex, and functional long RNAs. The discussion focuses on the future of transcriptome analysis, development and applications of SeqZip, and challenges presented to biomedical researchers by extremely large and rich datasets.

Recent breakthroughs in creating induced pluripotent stem cells (iPS cells) provide alternative means to obtain embryonic stem (ES) cell-like cells without destroying embryos by introducing four reprogramming factors (Oct3/4, Sox2, and Klf4/c-Myc or Nanog/Lin28) into somatic cells. However, the molecular basis of reprogramming is largely unknown. To address this question, we employed microRNAs, small molecules, and conducted genome-wide RNAi screen, to investigate the regulatory mechanisms of reprogramming. First we showed that depleting miR-21 and miR-29a enhances reprogramming in mouse embryonic fibroblasts (MEFs). We also showed that p53 and ERK1/2 pathways are regulated by miR-21 and miR-29a and function in reprogramming. Second, we showed that computational chemical biology combined with genomic analysis can be used to identify small molecules regulating reprogramming. We discovered that the NSAID Nabumetone and the anti-cancer drug OHTM could replace Sox2 during reprogramming. Nabumetone could also replace c-Myc or Sox2 without compromising self-renewal and pluripotency of derived iPS cells. To identify the cell-fate determinants during reprogramming, we integrated a genome-wide RNAi screen with transcriptome analysis to dissect the molecular requirements in reprogramming. We found that extensive interactions of embryonic stem cell core circuitry regulators are established in mature iPS cells, including Utf1, Nr6a1, Tdgf1, Gsc, Fgf10, T, Chrd, Dppa3, Fgf17, Eomes, Foxa2. Remarkably, genes with non-differential change play the most critical roles in the transitions of reprogramming. Functional validation showed that some genes act as essential or barrier roles to reprogramming. We also identified several genes required for maintaining ES cell properties. Altogether, our results demonstrate the significance of miRNA function in regulating multiple signaling networks involved in reprogramming. And our work further advanced the reprogramming field by identifying several new key modulators.

No / BMP signaling has a crucial role in skin development and homeostasis, whereas molecular mechanisms underlying its involvement in regulating gene expression programs in keratinocytes and fibroblasts remain largely unknown. We show here that several BMP ligands, all BMP receptors, and BMP-associated Smad1/5/8 are expressed in human primary epidermal keratinocytes and dermal fibroblasts. Treatment of both cell types by BMP-4 resulted in the activation of the BMP-Smad, but not BMP-MAPK pathways. Global microarray analysis revealed that BMP-4 treatment induces distinct and cell type-specific changes in gene expression programs in keratinocytes and fibroblasts, which are far more complex than the effects of BMPs on cell proliferation/differentiation described earlier. Furthermore, our data suggest that the potential modulation of cell adhesion, extracellular matrix remodeling, motility, metabolism, signaling, and transcription by BMP-4 in keratinocytes and fibroblasts is likely to be achieved by the distinct and cell-type-specific sets of molecules. Thus, these data provide an important basis for delineating mechanisms that underlie the distinct effects of the BMP pathway on different cell populations in the skin, and will be helpful in further establishing molecular signaling networks regulating skin homeostasis in health and disease.

As interações epitélio-mesênquima podem influenciar o desenvolvimento do tumor no sítio primário e no linfonodo comprometido de pacientes com câncer de mama. Nosso objetivo foi avaliar a taxa de proliferação e perfil gênico de fibroblastos de linfonodos comprometidos e não comprometidos obtidos de pacientes com câncer de mama e determinar a influência de células epiteliais mamárias normais (MCF10A) ou malignas (MDA-MB-231) na expressão gênica destes fibroblastos. Foram estabelecidas culturas primárias de fibroblastos de linfonodos (3 comprometidos e 3 não comprometidos) de 6 diferentes pacientes com câncer de mama e não houve diferença na taxa de proliferação destes fibroblastos. Co-culturas de células MCF10A ou MDA-MB-231 com fibroblastos, separadas fisicamente por membranas porosas, foram realizadas por 72 horas. O RNA total dos fibroblastos foi extraído, amplificado e o perfil gênico foi analisado usando-se uma lâmina de cDNA microarray. Fibroblastos de linfonodos comprometidos e não comprometidos apresentaram perfil gênico similar, pois apenas 13 genes foram modulados, sendo que maior expressão de PGBD3 e PTBP2 em fibroblastos de linfonodos comprometidos foi confirmada em ensaios de RT-PCR em tempo real. Em fibroblastos, a cocultura com células MCF10A alterou a expressão de maior número de genes que a co-cultura com células MDA-MB-231. Em fibroblastos originários de linfonodos não comprometidos mantidos em co-cultura com células MDA-MB-231 foram modulados 151 genes, em relação aos mesmos fibroblastos cultivados na ausência de células epiteliais, sendo que oito deles apresentaram variação de expressão superior a três vezes (BET1, ENTPD1, USP7, DAPK1, ERBB2 e NCF2). As células MDA-MB-231 modularam algumas vias de sinalização em fibroblastos não comprometidos, como vias do cálcio, insulina, hormônio liberador de gonadotrofina (GnRH) e da regulação do citoesqueleto de actina, mas o mesmo não ocorreu em fibroblastos de linfonodos comprometidos. Duzentos e quarenta e nove genes foram diferencialmente expressos em fibroblastos originários de linfonodos comprometidos mantidos em co-cultura com células MDA-MB-231 e quatro genes apresentaram variação superior a três vezes (ACLY, AXUD1, CLCN5 e PDE6D). Nestes fibroblastos, algumas funções biológicas foram reguladas apenas por influência da célula MDA-MB-231, entre as quais metabolismo de aminoácidos, excreção, transporte intra Golgi e regulação da forma celular. As vias de sinalização e funções biológicas reguladas em fibroblastos pela interação com células epiteliais malignas podem estar implicadas no desenvolvimento de metástases regionais no câncer de mama. / Tumor development may be influenced by epithelial-mesenchimal interactions in the primary site as well as in the involved lymph node from breast cancer patients. Our aim was to evaluate the proliferation rate and gene profile of fibroblasts obtained from involved and uninvolved lymph nodes from breast câncer patients and to determine the influence of normal (MCF10A) or malignant (MDA-MB-231) mammary epithelial cells on the gene expression of these fibroblasts. Primary culture from fibroblasts obtained from 3 involved and 3 uninvolved lymph nodes (ILF and NILF) from 6 different breast cancer patients was established and no difference in their proliferation rate was detected. These fibroblasts were co-cultured with MCF10A or MDA-MB-231 cells, physically separated by a porous membrane for 72 hours. Total RNA was extracted from the cells, amplified and the gene profile from fibroblasts cultured alone or with epithelial cells was analyzed by cDNA microarray slides. Fibroblasts from involved and uninvolved lymph nodes present a similar gene profile as only 13 genes were differentially expressed between them, including PGBD3 and PTBP2, which higher expression in fibroblasts from involved lymph nodes was confirmed by real time RT-PCR. In fibroblasts, more genes seem to be regulated upon co-cultured with MCF10A than with MDA-MB-231 cells. In fibroblasts from uninvolved lymph nodes co-cultured with MDA-MB-231 cells, 151 genes were modulated as compared with fibroblasts cultured alone, and eight of them, presented an expression variation superior to three times (BET1, ENTPD1, USP7, DAPK1, ERBB2 e NCF2). In these fibroblasts, MDA-MB-231 could modulate some signaling pathways as calcium, insulin, gonadotrophin releasing hormone (GnRH) and actin cytoskeleton regulation signaling pathways. Two hundred forty nine genes were differentially expressed by fibroblasts from involved lymph nodes co-cultured with MDA-MB-231 cells, four of which with an expression variation superior to three times (ACLY, AXUD1, CLCN5 e PDE6D). In the last condition, fibroblasts had some biological functions regulated upon MDA-MB-231 cells influence, among which amino acid metabolism, excretion, intra-Golgi transport and regulation of cell shape. Signaling pathways and biological functions regulated in fibroblasts after interaction with malignant epithelial cells might be implicated in the development of regional metastasis in breast cancer.

O desenvolvimento da metástase depende, entre outros fatores de um microambiente propício e é possível que as células do câncer de mama influenciem o perfil da expressão gênica das células estromais, tanto no tumor primário como no linfonodo regional. Para estudar este último evento obtivemos fibroblastos de linfonodos comprometidos (n=3) ou não (n=3) de pacientes com câncer de mama, os quais foram co-cultivados com células de câncer de mama MDA-MB-231, separados fisicamente por membranas porosas por 72 horas. O perfil da expressão gênica foi determinado utilizando-se uma plataforma de cDNA microarray. A presença de células MDA-MB231 modulou a expressão de 415 genes em fibroblastos de linfonodos não comprometidos e 779 genes em fibroblastos de linfonodos comprometidos, em relação a células mantidas em mono-cultura, sendo que 120 genes tiveram sua expressão reguladas em ambas comparações. A expressão destes genes determinou a separação dos fibroblastos mantidos em co-cultura daqueles mantidos isoladamente em cultura por análise de agrupamento hierárquico, indicando que a presença das células de câncer de mama influencia o perfil da expressão gênica das células. Entre as funções reguladas pela presença de células MDA-MB231 encontramse tradução e receptor de superfície ligado à transmissão de sinal, em fibroblastos de linfonodos não comprometidos e autofosforilação de proteína e ciclo celular, em fibroblastos de linfonodos comprometidos. Para determinar se a expressão gênica diferencial é um fenômeno que pode ser generalizado para o câncer de mama, realizamos ensaios utilizando outras amostras de fibroblastos obtidos de linfonodos comprometidos de 5 pacientes e de linfonodos não comprometidos de outras 5 pacientes (incluindo as 6 amostras de fibroblastos previamente analisadas), as quais foram co-cultivadas com três linhagens celulares de câncer de mama (MDA-MB231, MDA-MB435 e MCF-7). A expressão relativa de MAP2K3, AKAP8L e CREG1, inicialmente identificados como diferencialmente expressos em análise de cDNA microarray, foi então determinada por RT-PCR em tempo real. Observamos que nenhuma das três linhagens celulares influenciou a expressão de AKAP8L e CREG1 tanto em fibroblastos de linfonodos comprometidos quanto não comprometidos. MAP2K3 foi hiperexpresso tanto em fibroblastos de linfonodos comprometidos quanto em não comprometidos co-cultivados com células MDA-MB231, mas não com células MDA-MB435 ou MCF-7. Nossos resultados indicam que a presença de células MDA-MB231 influencia o perfil de expressão gênica de fibroblastos originário tanto de linfonodos comprometidos quanto de não comprometidos. Alguns genes comumente regulados em fibroblastos de linfonodo comprometido ou não comprometidos, incluindo MAP2K3, podem estar envolvidos no estabelecimento de metástase regional. / Metastasis development may depend on a favorable microenvironment and breast cancer cells may influence stromal cells gene expression profile not only in the primary site but also in the lymph nodes. To study the latter event, fibroblasts were obtained from involved or uninvolved lymph nodes from six breast cancer patients and co-cultivated with breast cancer MDA-MB-231 cells, physically separated by porous membranes, for 72 hours. The gene expression profile was determined utilizing a cDNA microarray platform. The presence of MDA-MB231 cells modulated the expression of 415 genes in fibroblasts from uninvolved nodes and 779 genes in fibroblasts from involved nodes, as compared to fibroblasts cultured isolated, including 120 genes, which were regulated in fibroblasts from both origins. Unsupervised hierarchical clustering allowed a correct segregation of fibroblasts co-cultured with MDA-MB231 cells from fibroblasts cultured alone, indicating that the gene expression profile gene is influenced by the presence of breast cancer cells. Functions, which were regulated by presence of MDA-MB231 cells included translation and cell surface receptor linked signal transduction in fibroblasts from uninvolved nodes and protein autophosphorylation and cell cycle in fibroblasts from involved nodes. To determine whether this differential gene expression was a general process influenced by breast cancer cells, further assays were performed utilizing samples of fibroblasts from involved (n=5) and uninvolved nodes (n=5) from breast cancer patients (including the 6 samples of fibroblasts previously analyzed), which were co-cultured with three breast cancer cell lines (MDAMB231, MDA-MB435 and MCF-7). Relative expression of MAP2K3, AKAP8L and CREG1, initially identified as differentially expressed in co-cultured fibroblasts upon cDNA microarray analysis, was determined by RT-PCR real time. AKAP8L and CREG1 expression in fibroblasts from involved or uninvolved nodes was not influenced by the presence of any of the three cell lines. MAP2K3 was over-expressed in fibroblasts from both involved and uninvolved nodes when co-cultured with MDA-MB231 cells, but not with MDA-MB435 or MCF-7 cells. Our results indicate that the gene expression profile of fibroblasts from involved and uninvolved lymph nodes are influenced by the presence of MDA-MB231. Some genes commonly regulated in fibroblasts from both involved and uninvolved nodes, as MAP2K3, may be involved in regional metastasis establishment.