Galaxy and MEAN Stack to Create a User-Friendly Workflow for the Rational Optimization of Cancer Chemotherapy.

One aspect of personalized medicine is aiming at identifying specific targets for therapy considering the gene expression profile of each patient individually. The real-world implementation of this approach is better achieved by user-friendly bioinformatics systems for healthcare professionals. In this report, we present an online platform that endows users with an interface designed using MEAN stack supported by a Galaxy pipeline. This pipeline targets connection hubs in the subnetworks formed by the interactions between the proteins of genes that are up-regulated in tumors. This strategy has been proved to be suitable for the inhibition of tumor growth and metastasis in vitro. Therefore, Perl and Python scripts were enclosed in Galaxy for translating RNA-seq data into protein targets suitable for the chemotherapy of solid tumors. Consequently, we validated the process of target diagnosis by (i) reference to subnetwork entropy, (ii) the critical value of density probability of differential gene expression, and (iii) the inhibition of the most relevant targets according to TCGA and GDC data. Finally, the most relevant targets identified by the pipeline are stored in MongoDB and can be accessed through the aforementioned internet portal designed to be compatible with mobile or small devices through Angular libraries.

Differential proteomic comparison of breast cancer secretome using a quantitative paired analysis workflow.

BACKGROUND: Worldwide, breast cancer is the main cause of cancer mortality in women. Most cases originate in mammary ductal cells that produce the nipple aspirate fluid (NAF). In cancer patients, this secretome contains proteins associated with the tumor microenvironment. NAF studies are challenging because of inter-individual variability. We introduced a paired-proteomic shotgun strategy that relies on NAF analysis from both breasts of patients with unilateral breast cancer and extended PatternLab for Proteomics software to take advantage of this setup. METHODS: The software is based on a peptide-centric approach and uses the binomial distribution to attribute a probability for each peptide as being linked to the disease; these probabilities are propagated to a final protein p-value according to the Stouffer's Z-score method. RESULTS: A total of 1227 proteins were identified and quantified, of which 87 were differentially abundant, being mainly involved in glycolysis (Warburg effect) and immune system activation (activated stroma). Additionally, in the estrogen receptor-positive subgroup, proteins related to the regulation of insulin-like growth factor transport and platelet degranulation displayed higher abundance, confirming the presence of a proliferative microenvironment. CONCLUSIONS: We debuted a differential bioinformatics workflow for the proteomic analysis of NAF, validating this secretome as a treasure-trove for studying a paired-organ cancer type.

Proteomic profiling of nipple aspirate fluid (NAF): Exploring the complementarity of different peptide fractionation strategies.

NAF is a breast fluid that is closely related to the tumor microenvironment and a valuable sample for studying breast cancer. To perform an in-depth proteomic analysis of this sample, aliquots of a single NAF digest were analyzed by the following peptide-centric fractionation strategies: a) 30-cm reversed-phase (RP) column on-line with an LTQ-Orbitrap XL; b) off-line strong cation-exchange (SCX) column; and c) pI-based OFFGEL fractionation. All fractions from approaches (b) and (c) were further analyzed on a 10-cm RP column hyphenated to the same mass spectrometer. The RP-30cm, SCX/RP-10cm, and OFFGEL/RP-10cm approaches identified 1676, 2930, and 3240 peptides, which corresponded to 193, 390 and 528 proteins, respectively. In our cumulative dataset, 4466 distinct NAF peptides corresponded to a total of 557 proteins, of which only 34% were identified by all three approaches. No exclusive protein identification was associated to the RP-30cm approach, while SCX/RP-10cm and OFFGEL/RP-10cm contributed to 28 and 166 exclusive identifications, respectively. Each approach provided additional information related to energy metabolism (fermentation process/carbohydrate biosynthesis). In conclusion, the pre-fractionation platforms used were complementary for the comprehensive characterization of NAF and our work provides methodological information for future quantitative cancer-related NAF sample studies. BIOLOGICAL SIGNIFICANCE: High-resolution peptide separation is a sine qua non condition for achieving extensive proteome coverage. Various techniques have been employed to improve peptide fractionation prior to LC-MS/MS, thus allowing a comprehensive characterization of complex biological samples. Although fractionation efficiency is very sample-dependent, this issue is commonly overlooked, and a "cookbook" approach is routinely used during this critical step. The present study provides a systematic comparison of analytical information needed for the successful large-scale differential proteomic analysis of NAF samples from breast cancer patients, a precious and volume-limited biological sample. It reinforces the importance of optimizing sample-specific fractionation protocols for information retrieval from mass spectrometric analysis.

Potential correlation between tumor aggressiveness and protein expression patterns of nipple aspirate fluid (NAF) revealed by gel-based proteomic analysis.

Breast cancer is the leading cause of cancer related deaths in women. Most breast cancers stem from mammary ductal cells that secrete nipple aspirate fluid (NAF), a biological sample that contains proteins associated with the tumor microenvironment. In this study, NAF samples from both breasts of 7 Brazilian patients with unilateral breast cancer were analyzed. These samples were systematically compared using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and two-dimensional fluorescence difference gel electrophoresis (2D-DIGE); substantial qualitative individual differences were observed. In general, when NAF samples were compared from both breasts within the same patient their electrophoretic patterns were very similar, regardless of their cancer status. A comparison of all patients identified 2 main NAF protein profiles. The HomEP, homogeneous expression profile, was characterized by typical SDS-PAGE and 2D-DIGE protein patterns that were observed in patients with a good breast cancer prognosis and were similar to previous Type I NAF classifications that used one-dimensional electrophoresis. The HetEP, heterogeneous expression profile, was characterized by distinct protein patterns that have not been reported in previous studies and have been primarily observed in breast cancer patients with a poor prognosis. The NAF samples were rich in metal-dependent proteolytic enzymes, as visualized by SDS-PAGE zymography. They varied qualitatively with respect to their gelatinolytic band distribution. However, there were no correlations between these characteristics and the pathologic features of these tumors. A comparative analysis of NAF samples taken from each breast in a single patient showed conserved zymographic patterns. In conclusion, the present study highlights important distinctions in the protein content of individual NAF samples and provides insight into the composition of the tumor microenvironment. These data reinforce breast cancer as a heterogeneous disease with a diverse natural history, which is becoming increasingly evident through other recent studies.

Vivenciando a seleção de medicamentos em hospital de ensino / Experiencing drug selection in a teaching hospital

A seleção de medicamentos essenciais orienta a utilização eficaz, segura e racional de medicamentos. O texto descreve e discute o processo e os resultados alcançados pelo trabalho da Comissão de Farmácia e Terapêutica do Instituto Fernandes Figueira no momento de revisão de sua lista de medicamentos, ressaltando as implicações para a gestão, para a clínica e para a formação médica e da equipe multidisciplinar. Os dados trabalhados foram resgatados de documentos produzidos pelo grupo entre abril de 2005 e março de 2008. Foram trabalhados três grupos de medicamentos. Os achados apontam diminuição mínima de 44 por cento no quantitativo de itens. O processo envolveu grande número de profissionais de diferentes categorias e setores do hospital. Embora demorada e complexa, estima-se que a revisão da lista de medicamentos tenha despertado todos para a necessidade de repensar a utilização do arsenal terapêutico, contribuindo para uma formação mais centrada no paradigma da evidência científica e favorecendo a adesão aos produtos finais.

Essential drug selection guides the efficacious, safe, and rational use of medicines. This article describes and discusses the process and results achieved in the work of the Pharmacy and Therapeutics Committee of the Fernandes Figueira Institute in Rio de Janeiro, Brazil, in the revision of its drug list, highlighting the implications for management, clinical practice, and medical and multidisciplinary team training. The data were retrieved from documents produced by the group from April 2005 to March 2008. Three drug groups were analyzed. The findings point to a decrease of at least 44 percent in the amount of items. The process involved a large number of staff members from different professions and departments in the hospital. Although long and complex, it is estimated that the revision of the drug list awakened the entire staff to the need for rethinking the use of the therapeutic armamentarium, contributing to training based on the scientific evidence paradigm and favoring adherence to the drugs on the final list.

XRCC1 gene polymorphisms in a population sample and in women with a family history of breast cancer from Rio de Janeiro (Brazil).

The X-ray repair cross-complementing Group1 (XRCC1) gene has been defined as essential in the base excision repair (BER) and single-strand break repair processes. This gene is highly polymorphic, and the most extensively studied genetic changes are in exon 6 (Arg194Trp) and in exon 10 (Arg399Gln). These changes, in conserved protein sites, may alter the base excision repair capacity, increasing the susceptibility to adverse health conditions, including cancer. In the present study, we estimated the frequencies of the XRCC1 gene polymorphisms Arg194Trp and Arg399Gln in healthy individuals and also in women at risk of breast cancer due to family history from Rio de Janeiro. The common genotypes in both positions (194 and 399) were the most frequent in this Brazilian sample. Although the 194Trp variant was overrepresented in women reporting familial cases of breast cancer, no statistically significant differences concerning genotype distribution or intragenic interactions were found between this group and the controls. Thus, in the population analyzed by us, variants Arg194Trp and Arg399Gln did not appear to have any impact on breast cancer susceptibility.

XRCC1 gene polymorphisms in a population sample and in women with a family history of breast cancer from Rio de Janeiro (Brazil)

The X-ray repair cross-complementing Group1 (XRCC1) gene has been defined as essential in the base excision repair (BER) and single-strand break repair processes. This gene is highly polymorphic, and the most extensively studied genetic changes are in exon 6 (Arg194Trp) and in exon 10 (Arg399Gln). These changes, in conserved protein sites, may alter the base excision repair capacity, increasing the susceptibility to adverse health conditions, including cancer. In the present study, we estimated the frequencies of the XRCC1 gene polymorphisms Arg194Trp and Arg399Gln in healthy individuals and also in women at risk of breast cancer due to family history from Rio de Janeiro. The common genotypes in both positions (194 and 399) were the most frequent in this Brazilian sample. Although the 194Trp variant was overrepresented in women reporting familial cases of breast cancer, no statistically significant differences concerning genotype distribution or intragenic interactions were found between this group and the controls. Thus, in the population analyzed by us, variants Arg194Trp and Arg399Gln did not appear to have any impact on breast cancer susceptibility.