Dr Willian Da Silveira's Outputs (45)

Neoadjuvant chemotherapy with trastuzumab in HER2-positive breast cancer: pathologic complete response rate, predictive and prognostic factors (2017)
Journal Article
Buzatto, I., Ribeiro-Silva, A., Andrade, J., Carrara, H., Silveira, W., & Tiezzi, D. (2017). Neoadjuvant chemotherapy with trastuzumab in HER2-positive breast cancer: pathologic complete response rate, predictive and prognostic factors. #Journal not on list, 50(2), Article e5674. https://doi.org/10.1590/1414-431x20165674

The purpose of this study was to retrospectively review the pathologic complete response (pCR) rate from patients (n=86) with stage II and III HER2-positive breast cancer treated with neoadjuvant chemotherapy at our institution from 2008 to 2013 and... Read More about Neoadjuvant chemotherapy with trastuzumab in HER2-positive breast cancer: pathologic complete response rate, predictive and prognostic factors.

Genomics pipelines and data integration: challenges and opportunities in the research setting (2017)
Journal Article

The emergence and mass utilization of high-throughput (HT) technologies, including sequencing technologies (genomics) and mass spectrometry (proteomics, metabolomics, lipids), has allowed geneticists, biologists, and biostatisticians to bridge the ga... Read More about Genomics pipelines and data integration: challenges and opportunities in the research setting.

ABCG2 is a potential marker of tumor-initiating cells in breast cancer (2015)
Journal Article

The existence of tumor-initiating cells (TICs) within solid tumors has been hypothesized to explain tumor heterogeneity and resistance to cancer therapy. In breast cancer, the expression of CD44 and CD24 and the activity of aldehyde dehydrogenase 1 (... Read More about ABCG2 is a potential marker of tumor-initiating cells in breast cancer.

Germ cells and mammary gland transcritome comparison generate a powerful gene expression profile that predicts breast cancer survival (2015)
Presentation / Conference Contribution

Background: Predict clinical outcome and chemotherapy sensitivity in breast cancer remains a challenging task. Germ cells are the most undifferentiated cells in the human body. We aimed to identify breast cancer genetic signatures in order to predict... Read More about Germ cells and mammary gland transcritome comparison generate a powerful gene expression profile that predicts breast cancer survival.

Genetic profile analysis of tumor stem cells in locally advanced breast cancer (2013)
Presentation / Conference Contribution

Background
Breast carcinoma is a highly prevalent and incident disease. About half the observed cases are diagnosed in later and/or disseminated disease stages. Treatment success in advanced disease stage occurs in about 20% of cases. The identifica... Read More about Genetic profile analysis of tumor stem cells in locally advanced breast cancer.