Breast cancer prediction using the isotonic separation technique

A recently developed data separation/classification method, called isotonic separation, is applied to breast cancer prediction. Two breast cancer data sets, one with clean and sufficient data and the other with insufficient data, are used for the study and the results are compared against those of decision tree induction methods, linear programming discrimination methods, learning vector quantization, support vector machines, adaptive boosting, and other methods. The experiment results show that isotonic separation is a viable and useful tool for data classification in the medical domain.     

Serological proteome analysis of dogs with breast cancer unveils common serum biomarkers with human counterparts

Canine mammary tumor is being touted as a model for investigating the human breast cancer. Breast cancer of the both species has similar biological behavior, histopathologic characteristics, and metastatic pattern. In this study, we used the serological proteome analysis to detect autoantigens that elicit a humoral response in dogs with mammary tumor in order to identify serum biomarkers with potential usefulness as diagnostic markers and to better understand molecular mechanisms underlying canine breast cancer development. Protein extract from a cell line was subject to 2DE followed by Western blotting using sera from 15 dogs with mammary tumor and sera from 15 healthy control dogs. Immunoreactive autoantigens were subsequently identified by the MALDI‐TOF MS. Four autoantigens, including manganese‐superoxide dismutase, triose phosphate isomerase, alpha‐enolase, and phosphoglycerate mutase1, with significantly higher immunoreactivity in the tumor samples than in the normal samples were identified as biomarker candidates. Immunohistochemistry and Western blotting revealed higher expression of these biomarkers in the malignant tumors than in the normal or benign tumors. The autoantigens found in this study have been reported to elicit autoantibody response in the human breast cancer, indicating the similarity of breast cancer proteome profile in dogs with that in human beings.     

Construction of label-free electrochemical immunosensor on mesoporous carbon nanospheres for breast cancer susceptibility gene

In this contribution, mesoporous carbon nanospheres (MCN) were used to fabricate a label-free electrochemical immunosensor for breast cancer susceptibility gene (BRCAl). The detection platform was constructed by conjugation of anti-BRCA1 on glassy carbon electrodes which were modified by mesoporous carbon nanospheres–toluidine blue nanocomposite (MCN–TB)/room temperature ionic-liquid (RTIL) composited film. TB was adsorbed onto MCN and acted as a redox probe. The electroactivity of TB was greatly enhanced in the presence of MCN. The good conductivity of MCN and BMIM·BF₄ could promote the electron transfer and thus enhance the detection sensitivity. Moreover, the large surface area of MCN and the protein-binding properties of BMIM·BF₄ could greatly increase the antibody loading. The specific antibody–antigen immunoreaction on the electrode surface resulted in a decrease of amperometric signal of the electrode. Under optimized conditions, the amperometric signal decreased linearly with BRCAl concentration in the range of 0.01–15 ng mL⁻¹ with a low detection limit of 3.97 pg mL⁻¹. The immunosensor exhibits high sensitivity, good selectivity and stability.     

Cytochrome P450 2C9 polymorphism: Effect of amino acid substitutions on protein flexibility in the presence of tamoxifen

Tamoxifen is a prodrug and cytochrome P450 2C9 (CYP2C9) has a significant role in the formation of a therapeutically more potent metabolite (4-hydroxytamoxifen) than tamoxifen. Since CYP2C9 exhibits genetic polymorphism, it may contribute to different phenotypic drug response. Moreover, it may be misleading if the possibility of heterogeneous clinical observations of pharmacogenetic investigations is ignored. Above all, clinical investigation of all the polymorphic variants is beyond the scope of a pharmacogenetic study. Therefore, in order to understand the genotype-phenotype association, it is aimed to study the interatomic interactions of amino acid substitutions in CYP2C9 variants in the presence of tamoxifen. Computational structural biology approach was adopted to study the effect of amino acid substitutions of polymorphic variants of CYP2C9 R144C (*2), I359 L (*3), D360E (*5), R150H (*8), R335W (*11) and L90 P (*13) on the flexibility of the enzyme in the presence of tamoxifen. The mutations were selected based on previously determined associations on genotype and clinical outcome of drugs.Against the above plane, docking of tamoxifen was performed with the crystal structure representing the wild-type form of the enzyme. The docked conformation of tamoxifen was favourable for 4-hydroxylation with the site of metabolism within 5 Å of oxyferrylheme consistent with the drug metabolism pathway of tamoxifen. Further, the effect of amino acid substitutions CYP2C9 variants on the protein flexibility in the presence of tamoxifen in 4-hydroxy orientation was evaluated by molecular dynamics (MD) simulations.Distinct protein flexibility modulations between variants were observed in F/G segment constituting the substrate access/egress channels, helix B' involved with substrate specificity and helix I associated with the holding of substrates. Root Mean Square Fluctuation analysis of the trajectories of variants exhibited fluctuations in F/G segment, B’ and I helix. Dominant motions in the structure were identified by performing Principal Component Analysis on trajectories and the porcupine plot depicted displaced F/G segment in variants.Thus, the interatomic interaction study of CYP2C9 variants in the presence of tamoxifen predicts the plausible effect of the investigated variants on the therapeutic outcome of tamoxifen. It is presumed that the observations of the study would be meaningful to understand tamoxifen pharmacogenetics.     

Nanoemulsions to support ex vivo cell culture of breast cancer circulating tumor cells

The culture and expansion of circulating tumor cells (CTCs) for ex vivo assays plays an important role in precision medicine. However, it still represents a big challenge in translational research. Generating knowledge about the characteristics of CTCs can help to shed light about the metastasis process. Furthermore, ex vivo culture of CTCs might allow performing functional analyses and testing different drugs, to guide clinical therapies. In this work, we present a new methodology based on the use of nanosystems to support ex vivo culture of CTCs. We have formulated oil-in-water (O/W) nanoemulsions (NEs) composed by lipids and fatty acids, and have demonstrated that they can help increasing cell viability on different breast cancer cell lines. Moreover, we have generated a CTC model from breast cancer mice xenografts, to prove the ability of the NEs to facilitate their culture and expansion. Additionally, we have postulated a mechanism of action based on the cell consumption of the NEs, which are acting as energy suppliers, driving proliferation. This work corroborates the potential of nanotechnology to provide valuable tools for precision oncology, and the ability of our NEs to improve proliferation of breast cancer CTCs for the establishment of CTCs culture protocols.     

Employing Label‐free Electrochemical Biosensor Based on 3D‐Reduced Graphene Oxide and Polyaniline Nanofibers for Ultrasensitive Detection of Breast Cancer BRCA1 Biomarker

A label‐free DNA biosensor based on three‐dimensional reduced graphene oxide (3D‐rGO) and polyaniline (PANI) nanofibers modified glassy carbon electrode (GCE) was successfully developed for supersensitive detection of breast cancer BRCA1. The results demonstrated that 3D‐rGO and PANI nanofibers had synergic effects for reducing the charge transfer resistance (R_ct), meaning a huge enhancement in electrochemical activity of 3D‐rGO‐PANI/GCE. Probe DNA could be immobilized on 3D‐rGO‐PANI/GCE for special and sensitive recognition of target DNA (1.0×10^?15–1.0×10^?7 M) with a theoretical LOD of 3.01×10^?16 M (3S/m). Furthermore, this proposed nano‐biosensor could directly detect BRCA1 in real blood samples.     

Organometallic analogues of tamoxifen: Effect of the amino side-chain replacement by a carbonyl ferrocenyl moiety in hydroxytamoxifen

Since the widely prescribed selective estrogen receptor modulator (SERM) tamoxifen encounters growing cases of resistance in long-term treatments, alternative drugs with different therapeutic scopes have to be developed. Many investigators have modified the triphenylethylene scaffold, but very few have changed its amino side chain, essential for the antiestrogenic activity. For the first time, a lipophilic and stable organometallic entity, -OCH₂CO-[(η⁵-C₅H₄)FeCp], has replaced this key functional side chain, while keeping a good affinity for the estrogen receptor and an antiproliferative activity on cancer cells (MCF-7 and PC-3). Its mechanism of action is likely to be different from the antihormonal pathway followed by hydroxytamoxifen, and from the cytotoxicity observed for the ferrocifens.     

不同喂养方式对婴儿硒状态的影响

测定了３０名健康产妇母乳及市售鲜牛乳中硒含量，并随访了不同喂养方式的婴儿全血ＧＰＸ活性，结果显示，母乳尤其是初乳中含有丰富的硒元素，并显著高于市售牛乳，母乳喂养儿全血ＧＰＸ活性明显高于人工喂养儿，表明母乳喂养有助于改善婴儿硒营养状态，提示对人工喂养儿应加强硒营养。     

13C/12C-Untersuchungen an Tumorzellen

Abstract

The metabolism of tumor-cells differs in many ways from normal (healthy) cells. One of the major differences is the high glycolytic activity in tumor-cells with the subsequent formation of lactate from glucose, even in the presence of oxygen. The question whether this high rate of glycolysis has any effect on the ¹³C/¹²C-relation of the cells is examined in experiments with a tumor-cell line (HT29) and in specimens of human breast cancer.

The HT29 cells show a clear decrease in ¹³C content compared to their culture medium (Δδ = 3.28‰).

Tissue from human breast cancer has more ¹³C than normal breast tissue taken from the same patient ((Δδ = 2.74‰). But the content of fat is much higher in the normal tissue and its δ-value is negatively correlated with its fat content. It is concluded that the difference between normal and tumor tissue is due to the heterogeneous composition of the normal tissue samples.     

自动乳腺全容积成像冠状面图像在乳腺肿瘤鉴别诊断中的应用价值

目的探讨自动乳．腺全容积成像技术（ABVS）冠状面图像在乳腺肿瘤鉴别诊断中的应用价值。方法回顾性分析90例患者（共92个乳腺肿块）,其ABVS冠状面表现为边缘不光整,根据冠状面图像的特征分为边缘模糊不清、毛刺、成角、分叶4种,与手术病理检查结果对比分析。结果边缘毛刺征82个,其中74个呈“火山口”征,“火山口”征对浸润性导管癌的诊断符合率达100％。其余类型乳腺恶性肿瘤ABVS冠状面表现呈多样性,有成角、分叶、模糊不清。其中11个肿块经病理检查证实为乳腺良性肿瘤。结论ABVS的冠状面“火山口”征对于乳腺恶性肿瘤有较高的敏感性,但也有部分良性肿块冠状面呈不光整边缘,需结合其他检测手段客观进行鉴别诊断。