87 research outputs found

    Current status and challenges of personalized treatment of cancer: view inspired by the workshop

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    Inhibition of TGFβ signaling and its implications in anticancer treatments

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    The transforming growth factor-β (TGFβ) is a potent regulator of tumorigenesis. In cancer, two distinctive behaviors of TGFβ have been reported as a tumor suppressor at early stage of the disease, and as a tumor promoter at later stages. The past decades, the dualistic role of TGFβ has garnered a lot of attention. As a result, cancer researchers’ has been tasked to elucidate how TGFβ signaling may lead to metastatic dissemination, how to tackle carcinogenesis and which therapeutic strategies should be adopted. Consequently, TGFβ signaling pathways have been considered as appropriate targets for cancer therapy. The TGFβ therapeutic strategies have emerged at three levels: ligand, ligand-receptor interaction and intracellular signaling level. Promising inhibitors of TGFβ signaling have entered clinical trials and shown encouraging results. Here we review the three strategies of TGFβ signa­ling inhibition and theirs applications in treatment of cancer

    Proteomic approaches in biological and medical sciences: principles and applications

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    After the first introduction of the concept of “proteome” more than 10 years ago, large-scale studies of protein expression, localization, activities and interactions have gained an exponential increase of interest, leading to extensive research and technology development. Proteomics is expansively applied in many areas, ranging from basic research, various disease and malignant tumors diagnostic and biomarker discovery to therapeutic applications. Several proteomics approaches have been developed for protein separation and identification, and for the characterization of protein function and structure. Two-dimensional gel electrophoresis, chromatography, capillary electrophoresis and mass spectrometry have become the most used proteomics methods. These techniques are also under constant development. This review provides an overview of the main techniques and their combinations, used in proteomics. The emphasis is made on description of advantages and disadvantages of each technique, to navigate in selection of the best application for solving a specific problem.Развитие протеомики за последние 10 лет стимулировало возрастающий интерес к ее применению для решения важных проблем современной биологии и медицины. Сегодня протеомика активно используется в фундаментальных исследованиях, поиске биомаркеров, диагностике опухолей. Широкомасштабное изучение экспрессии, локализации, активности и взаимодействий белков привело к специализации протеомных технологий и методов. Поэтому вопрос подбора наиболее подходящих методов для решения специфических проблем является особо актуальным. Двухмерный электрофорез, жидкостная хроматография, капиллярный электрофорез и масс-спектрометрия являются наиболее развитыми технологиями протеомики. В этом обзоре проанализированы сильные и слабые стороны этих технологий. Авторы надеются, что этот анализ поможет читателям выбрать наиболее эффективную методику для решения соответствующих научных задач

    Kinase suppressor of Ras 2 is involved in regulation of cell proliferation and is up-regulated in human invasive ductal carcinomas of breast

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    Aim: To study the expression of Kinase Suppressor of Ras 2 (KSR2) in human breast tumors and its effect on proliferation of breast epithelial cells. We reported previously that KSR2 was up-regulated in immortalized human breast epithelial cells. Methods: Proteomics technologies, systems biology tool for a KSR2 network analysis, immunoblotting, siRNA technology, overexpression of KSR2, cell proliferation assays and immunohistochemistry of tissue microarray of human breast tumors and normal breast tissue were used. Results: In conditionally immortalized primary epithelial cells KSR2 expression was shown to be up-regulated. The involvement of KSR2 in regulation of cell proliferation was predicted by a KSR2-centered network analysis. We observed that KSR2 down-regulation with specific siRNA inhibited cell proliferation. By immunohistochemistry of tissue microarray it was demon strated that KSR2 expression was enhanced in human invasive breast carcinomas. Conclusion: Our findings propose KSR2 as a new marker of immortalization, which has an impact on cell proliferation

    Comments on the cross-talk of TGFβ and EGF in cancer

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    Proteomic Strategy for Detection of Circulating Tumor Cell Surface Antigens

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    Intersection between genes controlling vascularization and angiogenesis in renal cell carcinomas

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    Aim: To show that application of the systemic analysis may significantly improve comparison of different datasets. Different genes and proteins may converge on the same functional outputs. A comparison of 2 datasets by only identification names of affected molecules may miss that, leading to a conclusion that there is nothing in common for these datasets. Systemic analysis may overcome this limitation, by focusing on functions represented by the identification names. Materials and Methods: Datasets were retrieved from open sources. Systemic analysis of vascularization features and angiogenesis signature was performed by using Cytoscape and its plugs-in. Results: In contrary to the initial statement of the lack of overlap between the vascularization features and the angiogenesis genes-signature in renal carcinomas, we observed an intersection on the functional level. Analysis of the networks built with identification names of vascularization and angiogenesis datasets showed an intersection, which included potent regulators of vessel formation and growth. Conclusion: Analysis of networks may expose functional links, which may be missed by a direct identification names comparison. Key Words: cancer, vascularization, angiogenesis, systemic analysis

    A protocol for the detection of genetic markers in saliva by polymerase chain reaction without a nucleic acid purifi cation step: Examples of SARS-CoV-2 and GAPDH markers

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    Introduction. Polymerase chain reaction (PCR)-based diagnostic tests use purifi ed nucleic acids (NAs) from clinical samples. The NAs purifi cation step adds time, cost, and aff ects the quality of testing. The objective of this study was to develop a protocol for direct use of saliva in tests for genetic markers, without purifi cation of nucleic acids. Methods. PCR, real-time RT-PCR and isothermal amplifi cation tests were used for direct detection of genetic markers, without purifi cation of nucleic acids. Results. We report a protocol for the direct detection of genetic markers in saliva. The protocol is based on a collection of saliva in a solution containing a detergent and ethanol and is compatible with isothermal amplifi cation (LAMP), real-time RT-PCR and RT-PCR. SARS-CoV-2 and GAPDH markers were used as reference markers. We observed that mild detergents allow effi cient detection of external reference and intracellular endogenous markers, while strong detergent, e.g. sodium dodecyl sulfate, inhibited the PCR reaction. Under these conditions, saliva samples can be stored for 24 h at +4 C or -18 C with the preservation of markers. Storage at room temperature led to the deterioration of marker detection. Snap heating of saliva samples at the time of collection, followed by storage at room temperature, provided partial protection. Conclusion. The protocol presented in this report describes the collection and storage of saliva for direct detection of genetic markers and is compatible with PCR and LAMP tests.Scopu

    Endometrial cancer and application of proteomics

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    Intersection between genes controlling vascularization and angiogenesis in renal cell carcinomas

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    Aim: To show that application of the systemic analysis may significantly improve comparison of different datasets. Different genes and proteins may converge on the same functional outputs. A comparison of 2 datasets by only identification names of affected molecules may miss that, leading to a conclusion that there is nothing in common for these datasets. Systemic analysis may overcome this limitation, by focusing on functions represented by the identification names. Materials and Methods: Datasets were retrieved from open sources. Systemic analysis of vascularization features and angiogenesis signature was performed by using Cytoscape and its plugs-in. Results: In contrary to the initial statement of the lack of overlap between the vascularization features and the angiogenesis genes-signature in renal carcinomas, we observed an intersection on the functional level. Analysis of the networks built with identification names of vascularization and angiogenesis datasets showed an intersection, which included potent regulators of vessel formation and growth. Conclusion: Analysis of networks may expose functional links, which may be missed by a direct identification names comparison. Key Words: cancer, vascularization, angiogenesis, systemic analysis
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