Role of SPARC in Bone Remodeling and Cancer‐Related Bone Metastasis

There is a growing socioeconomic recognition that clinical bone diseases such as bone infections, bone tumors and osteoporotic bone loss mainly associated with ageing, are major issues in today0s society. SPARC (secreted protein, acidic and rich in cysteine), a matricellular glycoprotein, may be a promising therapeutic target for preventing or treating bone‐related diseases. In fact, SPARC is associated with tissue remodeling, repair, development, cell turnover, bone mineralization and may also participate in growth and progression of tumors, namely cancer‐related bone metastasis. Yet, the function of SPARC in such biological processes is poorly understood and controversial. The main objective of this work is to review the current knowledge related to the activity of SPARC in bone remodeling, tumorigenesis, and bone metastasis. Progress in understanding SPARC biology may provide novel strategies for bone regeneration and the development of anti‐angiogenic, anti‐proliferative, or counter‐adhesive treatments specifically against bone metastasis.

Cancro da mama: avaliação do gânglio sentinela em exame extemporâneo

A maximização do potencial da abordagem cirúrgica conservadora da axila para o cancro da mama, como um método minimamente invasivo para a avaliação de metastização axilar, visando diminuir a morbilidade associada ao esvaziamento axilar completo, requer um método preciso para avaliação patológica intraoperatória. Esse método não foi ainda estabelecido. Imprints e corte de congelação do gânglio sentinela são os procedimentos comummente utilizados, apesar de uma sensibilidade e especificidade inferior à desejada. Actualmente, novas técnicas estão a ser desenvolvidas, que apesar da sua optimização, ainda não ultrapassam os resultados das utilizadas. Um total de 138 mulheres com cancro da mama, submetidas a cirurgia mamária por abordagem conservadora da axila, cuja utilização de imprints e cortes de congelação foram os métodos de avaliação intraoperatória do gânglio sentinela. Os diagnósticos dados pela observação dos cortes dos fragmentos do exame extemporâneo foram comparados com os obtidos nos cortes histológicos definitivos dos fragmentos fixados em formol e incluídos em parafina. Os resultados obtidos da avaliação do exame extemporâneo demonstraram sensibilidade de 79,1%, especificidade de 96,9%, com uma precisão de 91,4%. Não se obteve correlação entre os resultados do extemporâneo e os parâmetros de caracterização do exame extemporâneo e tumores. Os métodos, imprints e cortes de congelação, actualmente utilizados na nossa instituição apresentam bons resultados, mas a adopção de apenas um ou outro necessita de uma análise mais aprofundada dos dados relativos à metodologia utilizada nos extemporâneos, de forma a verificar a especificidade e sensibilidade individualizadas dos imprints e dos cortes de congelação. Se os imprints se revelarem semelhantes aos cortes de congelação, a sua utilização é preferencial uma vez que acarreta menores custos e são menos morosos. A implementação de novas técnicas será uma metodologia adoptar, pelos benefícios acrescidos, porém mais estudos e a optimização

P53 and Cancer-Associated Sialylated Glycans Are Surrogate Markers of Cancerization of the Bladder Associated with Schistosoma haematobium Infection

BACKGROUND: Bladder cancer is a significant health problem in rural areas of Africa and the Middle East where Schistosoma haematobium is prevalent, supporting an association between malignant transformation and infection by this blood fluke. Nevertheless, the molecular mechanisms linking these events are poorly understood. Bladder cancers in infected populations are generally diagnosed at a late stage since there is a lack of non-invasive diagnostic tools, hence enforcing the need for early carcinogenesis markers. METHODOLOGY/PRINCIPAL FINDINGS: Forty-three formalin-fixed paraffin-embedded bladder biopsies of S. haematobium-infected patients, consisting of bladder tumours, tumour adjacent mucosa and pre-malignant/malignant urothelial lesions, were screened for bladder cancer biomarkers. These included the oncoprotein p53, the tumour proliferation rate (Ki-67>17%), cell-surface cancer-associated glycan sialyl-Tn (sTn) and sialyl-Lewisa/x (sLea/sLex), involved in immune escape and metastasis. Bladder tumours of non-S. haematobium etiology and normal urothelium were used as controls. S. haematobium-associated benign/pre-malignant lesions present alterations in p53 and sLex that were also found in bladder tumors. Similar results were observed in non-S. haematobium associated tumours, irrespectively of their histological nature, denoting some common molecular pathways. In addition, most benign/pre-malignant lesions also expressed sLea. However, proliferative phenotypes were more prevalent in lesions adjacent to bladder tumors while sLea was characteristic of sole benign/pre-malignant lesions, suggesting it may be a biomarker of early carcionogenesis associated with the parasite. A correlation was observed between the frequency of the biomarkers in the tumor and adjacent mucosa, with the exception of Ki-67. Most S. haematobium eggs embedded in the urothelium were also positive for sLea and sLex. Reinforcing the pathologic nature of the studied biomarkers, none was observed in the healthy urothelium. CONCLUSION/SIGNIFICANCE: This preliminary study suggests that p53 and sialylated glycans are surrogate biomarkers of bladder cancerization associated with S. haematobium, highlighting a missing link between infection and cancer development. Eggs of S. haematobium express sLea and sLex antigens in mimicry of human leukocytes glycosylation, which may play a role in the colonization and disease dissemination. These observations may help the early identification of infected patients at a higher risk of developing bladder cancer and guide the future development of non-invasive diagnostic tests.

High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning

High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.