Diálogos interculturais entre os irmãos Grimm e Chico Buarque: revisitando narrativas infantis clássicas

O ato de narrar histórias e de recriar o mundo pela fantasia, assim como discorrer sobre a condição humana, são dimensões essenciais das histórias destinadas ao universo infantil. A leitura, a análise e a produção de narrativas infantis em ambientes educativos auxiliam no desenvolvimento cognitivo, social e emocional das crianças-leitoras. Assim, a abordagem dialógica e interativa de textos tem sido tema de vários debates nos estudos literários, linguísticos e, de forma geral, na área da educação. A partir do exposto, discuto, inicialmente, conceitos atrelados à concepção dialógica da linguagem a partir dos postulados teóricos de Mikhail Bakhtin (1997) e de estudiosos da perspectiva bakhtiniana no contexto nacional (Faraco, 2001; Brait, 2005). Para tanto, o objetivo desta investigação consiste em propor um diálogo entre as narrativas infantis "Os Músicos de Bremen" (1812) dos Irmãos Grimm e "Os Saltimbancos" de Chico Buarque (1977). Nesse sentido, apresento uma abordagem contextualizada dessas histórias, procurando resgatar a origem dos contos de fadas e a sua consolidação no contexto medieval. A metodologia adotada consiste numa abordagem qualitativa, a partir de análise da temática do conto e da fábula – objetos deste estudo - procurando destacar as semelhanças e diferenças, bem como as representações sociais, políticas e culturais presentes nessas narrativas

The Use of Mass Spectrometry Imaging to Predict Treatment Response of Patient-Derived Xenograft Models of Triple-Negative Breast Cancer

In recent years, mass spectrometry imaging (MSI) has been shown to be a promising technique in oncology. The effective application of MSI, however, is hampered by the complexity of the generated data. Bioinformatic approaches that reduce the complexity of these data are needed for the effective use in a (bio)­medical setting. This holds especially for the analysis of tissue microarrays (TMA), which consist of hundreds of small tissue cores. Here we present an approach that combines MSI on tissue microarrays with principal component linear discriminant analysis (PCA-LDA) to predict treatment response. The feasibility of such an approach was evaluated on a set of patient-derived xenograft models of triple-negative breast cancer (TNBC). PCA-LDA was used to classify TNBC tumor tissues based on the proteomic information obtained with matrix-assisted laser desorption ionization (MALDI) MSI from the TMA surface. Classifiers based on two different tissue microarrays from the same tumor models showed overall classification accuracies between 59 and 77%, as determined by cross-validation. Reproducibility tests revealed that the two models were similar. A clear effect of intratumor heterogeneity of the classification scores was observed. These results demonstrate that the analysis of MALDI-MSI data by PCA-LDA is a valuable approach for the classification of treatment response and tumor heterogeneity in breast cancer

Additional file 5: of The method of detection of ductal carcinoma in situ has no therapeutic implications: results of a population-based cohort study

Multivariable-adjusted Cox regression analysis of ipsilateral and contralateral invasive breast cancer in women aged 49–75 years at DCIS diagnosis: comparison between screen-detected and interval DCIS (DCIS diagnostic period 1999–2004 (screening implemented)). Age was the primary time scale and time since DCIS diagnosis (0–5, 5–10, and ≥10 years) the secondary time-scale. (DOCX 21 kb

Additional file 2 of Mitotic count can predict tamoxifen benefit in postmenopausal breast cancer patients while Ki67 score cannot

Figure S1 Location of the different CCND1 and EMSY probe sets in the genome. In addition the CCND1 and PAK1 probes used for PCR by Bostner are depicted. The UCSC Genome Browser was used to visualize the loci of interest in hg19 coordinates.Figure S2 A mixed effects regression of the log2-transformed reference sample estimates were modeled with reference probe-set, batch and their interaction as a fixed effect and sample as a random effect. Presented is a bar plot is of the variance in the batch estimates per probe-set. Figure S3 Data flow of patients entering the study, the reason of exclusion and finally analyzed for the specific markers.Figure S4 differences between Ki67 score on whole tissue slide and maximum score from 3 corresponding cores on TMA from tumors of a random series of 55 patients (comparable scores were available for 54 patients, since the staining on whole tissue slide failed for 1 tumor). Figure S5 Distribution of scores for mitosis markers: CCND1 probe set 1, CCND1 probe set 2, immunohistochemistry markers Ki67 and Cyclin D1, mitotic count per 2 mm2 and the square root transformed mitotic count per 2 mm2. Figure S6 Schoenfeld residuals for mitotic count (high (≥ 8 mitosis/2 mm2) versus low (< 8 mitosis/2 mm2)) over years in the entire cohort of 557 ER α positive patients for whom mitotic count could be assessed. Recurrence free interval survival was stratified by nodal status. (DOC 731 kb

Lack of Genomic Heterogeneity at High-Resolution aCGH between Primary Breast Cancers and Their Paired Lymph Node Metastases

<div><p>Lymph-node metastasis (LNM) predict high recurrence rates in breast cancer patients. Systemic treatment aims to eliminate (micro)metastatic cells. However decisions regarding systemic treatment depend largely on clinical and molecular characteristics of primary tumours. It remains, however, unclear to what extent metastases resemble the cognate primary breast tumours, especially on a genomic level, and as such will be eradicated by the systemic therapy chosen. In this study we used high-resolution aCGH to investigate DNA copy number differences between primary breast cancers and their paired LNMs. To date, no recurrent LNM-specific genomic aberrations have been identified using array comparative genomic hybridization (aCGH) analysis. In our study we employ a high-resolution platform and we stratify on different breast cancer subtypes, both aspects that might have underpowered previously performed studies.To test the possibility that genomic instability in triple-negative breast cancers (TNBCs) might cause increased random and potentially also recurrent copy number aberrations (CNAs) in their LNMs, we studied 10 primary TNBC–LNM pairs and 10 ER-positive (ER+) pairs and verified our findings adding additionally 5 TNBC-LNM and 22 ER+-LNM pairs. We found that all LNMs clustered nearest to their matched tumour except for two cases, of which one was due to the presence of two distinct histological components in one tumour. We found no significantly altered CNAs between tumour and their LNMs in the entire group or in the subgroups. Within the TNBC subgroup, no absolute increase in CNAs was found in the LNMs compared to their primary tumours, suggesting that increased genomic instability does not lead to more CNAs in LNMs. Our findings suggest a high clonal relationship between primary breast tumours and its LNMs, at least prior to treatment, and support the use of primary tumour characteristics to guide adjuvant systemic chemotherapy in breast cancer patients.</p></div

Additional file 1 of Mitotic count can predict tamoxifen benefit in postmenopausal breast cancer patients while Ki67 score cannot

Table S1: Distribution of clinico-pathological variables between patients with sufficient tumor material for biomarker analysis and the total group of patients who entered the study patients with sufficient tumor material. Table S2: Inter-observer variability for Ki67 and cyclin D1 immunohistochemistry scores antibody scoring system comparable cores. Table S3: Specifications of REMARK recommendations. Table S4: Multivariate Cox proportional hazard model of recurrence free interval (RFI) including mitotic count and treatment interaction, follow up truncated at 6 years. Table S5: Multivariate Cox proportional hazard model of recurrence free interval (RFI) including mitotic count and treatment interaction, follow up truncated at 6 years in HER2 negative patients. Table S6: Multivariate Cox proportional hazard model of recurrence free interval (RFI) including CCND1 copy number ratio and treatment interaction. Table S7a: Interaction tests between tamoxifen and EMSY probe sets analyzed as continuous. Table S7b: Interaction tests between tamoxifen and EMSY probe sets analyzed as binary factor. (PDF 368 kb

Investigation into discordant samples.

<p>Two samples that did not cluster together based on correlation were investigated for their discordance. A and B) Primary tumour and metastasis of patient 456 showed visually similar profiles, but the metastasis was a highly noisy hybridization. C and D) Primary tumour and metastasis profiles for patient 592 showed two highly different profiles. E) Two different histological phases were detected in the primary tumour, of which DNA was isolated separately and hybridized again.</p

Group-wise comparison of primary tumour copy number profiles with lymph node metastasis copy number profiles.

<p>Overall profiles were generated using the comparative module of the <i>KC-smart</i> package on either (A) the whole group, (B) just the ER+ tumours and (C) the triple negative tumours.</p

Quantification of copy number differences between the tumour and lymph node metastasis.

<p>For each sample pair (Tumour-Lymph Node) we constructed a delta profile, which contains only the copy number differences between the two. For each delta profile we counted the unique segments that showed a difference above .2 log2 or below -.2 log2 and we subsequently counted the segments that contained 10 or more probes only. We split the tumours into the TNBC and ER+ subgroups.</p

Additional file 3: Figure S1. of The association of diabetes mellitus and insulin treatment with expression of insulin-related proteins in breast tumors

Diabetes status stratified by pathology laboratories (%). (PNG 38 kb