MARIA MITZI BRENTANI

(Fonte: Lattes)
Índice h a partir de 2011
17
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Radiologia, Faculdade de Medicina - Docente
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/05 - Laboratório de Poluição Atmosférica Experimental, Hospital das Clínicas, Faculdade de Medicina

Resultados de Busca

Agora exibindo 1 - 4 de 4
  • article 18 Citação(ões) na Scopus
    Role of Fos-related antigen 1 in the progression and prognosis of ductal breast carcinoma
    (2011) LOGULLO, Angela Flavia; STIEPCICH, Monica Maria Agata; OSORIO, Cintia Aparecida Bueno de Toledo; NONOGAKI, Sueli; PASINI, Fatima Solange; ROCHA, Rafael Malagoli; SOARES, Fernando Augusto; BRENTANI, Maria M.
    Aims: Fos-related antigen 1 (Fra-1) is a member of the activator protein 1 (AP-1) transcription factor family. Our objective was to evaluate the role of Fra-1 expression in breast carcinoma progression and prognosis. Methods and results: Fra-1 expression was investigated by immunohistochemistry in two tissue microarrays containing, respectively, 85 ductal carcinoma in situ (DCIS) and 771 invasive ductal carcinoma (IDC) samples. Staining was observed in the nucleus and cytoplasm of the carcinomas, but only nuclear staining was considered to be positive. Fibroblasts associated with IDC were also Fra-1-positive. The frequency of Fra-1 positivity in IDC (22.8%) was lower than that in DCIS (42.2%). No association was found between Fra-1 and clinico-pathological variables in DCIS. In IDC, Fra-1 expression correlated with aggressive phenotype markers, including: high grade, oestrogen receptor negativity and human epidermal growth factor receptor 2 (HER-2) positivity (P = 0.001, 0.015 and 0.004, respectively), and marginally with the presence of metastasis (P = 0.07). Fra-1 was more frequently positive in basal-like (34%) and in HER-2-positive (38.5%) subtypes than in luminal subtypes. Fra-1 presence did not correlate with survival. Conclusions: A high frequency of Fra-1 in DCIS tumours may be associated with early events in breast carcinogenesis. Although Fra-1 expression correlated with features of a more aggressive phenotype in IDC, no relationship with overall survival was found.
  • article 17 Citação(ões) na Scopus
    Poly (A)(+) Transcriptome Assessment of ERBB2-Induced Alterations in Breast Cell Lines
    (2011) CARRARO, Dirce Maria; FERREIRA, Elisa Napolitano; MOLINA, Gustavo de Campos; PUGA, Renato David; ABRANTES, Eduardo Fernandes; TRAPE, Adriana Priscila; EKHARDT, Bedrich L.; NUNES, Diana Noronha; BRENTANI, Maria Mitzi; ARAP, Wadih; PASQUALINI, Renata; BRENTANI, Helena; DIAS-NETO, Emmanuel; BRENTANI, Ricardo Renzo
    We report the first quantitative and qualitative analysis of the poly (A)(+) transcriptome of two human mammary cell lines, differentially expressing (human epidermal growth factor receptor) an oncogene over-expressed in approximately 25% of human breast tumors. Full-length cDNA populations from the two cell lines were digested enzymatically, individually tagged according to a customized method for library construction, and simultaneously sequenced by the use of the Titanium 454-Roche-platform. Comprehensive bioinformatics analysis followed by experimental validation confirmed novel genes, splicing variants, single nucleotide polymorphisms, and gene fusions indicated by RNA-seq data from both samples. Moreover, comparative analysis showed enrichment in alternative events, especially in the exon usage category, in ERBB2 over-expressing cells, data indicating regulation of alternative splicing mediated by the oncogene. Alterations in expression levels of genes, such as LOX, ATP5L, GALNT3, and MME revealed by large-scale sequencing were confirmed between cell lines as well as in tumor specimens with different ERBB2 backgrounds. This approach was shown to be suitable for structural, quantitative, and qualitative assessment of complex transcriptomes and revealed new events mediated by ERBB2 overexpression, in addition to potential molecular targets for breast cancer that are driven by this oncogene.
  • article 19 Citação(ões) na Scopus
    Influence of the interaction between nodal fibroblast and breast cancer cells on gene expression
    (2011) SANTOS, Rosangela Portilho Costa; BENVENUTI, Ticiana Thomazine; HONDA, Suzana Terumi; VALLE, Paulo Roberto Del; KATAYAMA, Maria Lucia Hirata; BRENTANI, Helena Paula; CARRARO, Dirce Maria; ROZENCHAN, Patricia Bortman; BRENTANI, Maria Mitzi; LYRA, Eduardo Carneiro de; TORRES, Cesar Henrique; SALZGEBER, Marcia Batista; KAIANO, Jane Haruko Lima; GOES, Joao Carlos Sampaio; FOLGUEIRA, Maria Aparecida Azevedo Koike
    Our aim was to evaluate the interaction between breast cancer cells and nodal fibroblasts, by means of their gene expression profile. Fibroblast primary cultures were established from negative and positive lymph nodes from breast cancer patients and a similar gene expression pattern was identified, following cell culture. Fibroblasts and breast cancer cells (MDA-MB231, MDA-MB435, and MCF7) were cultured alone or co-cultured separated by a porous membrane (which allows passage of soluble factors) for comparison. Each breast cancer lineage exerted a particular effect on fibroblasts viability and transcriptional profile. However, fibroblasts from positive and negative nodes had a parallel transcriptional behavior when co-cultured with a specific breast cancer cell line. The effects of nodal fibroblasts on breast cancer cells were also investigated. MDA MB-231 cells viability and migration were enhanced by the presence of fibroblasts and accordingly, MDA-MB435 and MCF7 cells viability followed a similar pattern. MDA-MB231 gene expression profile, as evaluated by cDNA microarray, was influenced by the fibroblasts presence, and HNMT, COMT, FN3K, and SOD2 were confirmed downregulated in MDA-MB231 co-cultured cells with fibroblasts from both negative and positive nodes, in a new series of RT-PCR assays. In summary, transcriptional changes induced in breast cancer cells by fibroblasts from positive as well as negative nodes are very much alike in a specific lineage. However, fibroblasts effects are distinct in each one of the breast cancer lineages, suggesting that the inter-relationships between stromal and malignant cells are dependent on the intrinsic subtype of the tumor.
  • article 2 Citação(ões) na Scopus
    Transcriptional profile and response to neoadjuvant chemotherapy in breast cancer
    (2011) FOLGUEIRA, Maria Aparecida Azevedo Koike; SNITCOVSKY, Igor Moyses Longo; VALLE, Paulo Roberto Del; KATAYAMA, Maria Lucia Hirata; BRENTANI, Maria Mitzi; VIEIRA, Rene Aloisio da Costa
    Objective: To improve the accuracy predictive models of response to neoadjuvant chemotherapy in breast cancer, cDNA microarray technology was used to study tumor transcriptional profile. Gene signatures associated with predicting the response to neoadjuvant chemotherapy are the subject of this review. Methods: The data base http://www.ncbi.nlm.nih.gov/pubmed/ search was conducted by using the words ""breast cancer"" AND ""neoadjuvant/primary chemotherapy"" AND ""gene expression profile/microarray"". After excluding the repeats and selecting the publications considered most relevant by the authors to be presented, 279 publications were retrieved. Results: The number of publications regarding this subject has been increasing over the years, reaching over 50 in 2010, including the response to different chemotherapeutic drugs, such as anthracyclines and taxanes either alone or in combination. The first studies are from early last decade and used microarray platforms produced by the investigators. Recent studies have used commercial microarray platforms whose data have been stored in public databases, allowing for the analysis of a higher number of samples. Several transcriptional profiles associated with the complete pathological response were identified. Other authors used the clinical response to treatment as an endpoint, and, in this case, a predictive panel of resistance to the chemotherapeutic regimen at issue was determined. This is also a key issue, as it can contribute to individualize treatment, allowing patients resistant to a certain chemotherapeutic agent to be offered another therapeutic regimen. Conclusion: Identifying patients responsive to chemotherapy is of essential interest and despite major steps have been taken, the issue warrants further studies in view of its complexity.