Search results for: CANCER TREATMENT
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From chemoresistance to cancer stem cells: the case of BRCP/ABCG2 half transporter
PublicationLudzkie białko ABCG2 jest pompą typu ABC tworzącą homodimery i aktywnie transportującą leki i inne substraty naturalne i syntetyczne. Nadekspresja tego białko prowadzi do oporności na leki przeciwnowotworowe. Białko ABCG2 występuje w wielu formach zmutowanych, różniących się własnościami substratowymi, stąd istotne dla oporności na leki jest jaka forma genu i białka ABCG2 ulega nadekspresji w komórce. Ostatnie badania wskazują,...
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Can popular films instil carcinophobia? Images of cancer in popular Polish cinema
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The Role of miRNA in Papillary Thyroid Cancer in the Context of miRNA Let-7 Family
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Altered levels of circulating nuclear and mitochondrial DNA in patients with Papillary Thyroid Cancer
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Prognostic value of 5-microRNA based signature in T2-T3N0 colon cancer
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Synthesis of Usnic Acid Derivatives and Evaluation of Their Antiproliferative Activity against Cancer Cells
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Saliva as a first-line diagnostic tool: A spectral challenge for identification of cancer biomarkers
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Application of a three‑dimensional (3D) breast cancer model to study macrophage polarization
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Tissue Rheology as a Possible Complementary Procedure to Advance Histological Diagnosis of Colon Cancer
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FGF7 / FGFR2 – JunB signalling counteracts the effect of progesterone in luminal breast cancer
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Risk factors assessment and risk prediction models in lung cancer screening candidates
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Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis
PublicationEndometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance...
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Invasive breast carcinoma of no special type - Female, 48 - Tissue image [5280730021733921]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Invasive breast carcinoma of no special type - Female, 48 - Tissue image [5280730021738331]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Invasive breast carcinoma of no special type - Female, 48 - Tissue image [5280730021733361]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Invasive breast carcinoma of no special type - Female, 48 - Tissue image [5280730021732301]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Invasive breast carcinoma of no special type - Female, 48 - Tissue image [5280730021731771]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Performance of a new commercial high-definition 3D patient specific quality assurance system for CyberKnife robotic radiotherapy and radiosurgery
PublicationConventional two dimensional and low-definition measurement techniques for dosimetric verification of radiotherapy treatment deliveries are no longer adequate in the era of hypofractionation and extremely high dose gradients. New quality assurance (QA) tools with 3D capability and high definition are urgently needed. The purpose of this study was to evaluate the performance of one of the first such commercial systems as applied...
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Biologically active compounds based on the carbazole scaffold - synthetic and mechanistic aspects
PublicationDoctoral dissertation is divided into three main parts: introduction, results and discussion and experimental. The introduction is divided into four main parts which describe: 5-hydroxytryptamine receptors, the most popular antidepressants, new compounds based on the carbazole structure with affinity for serotonin receptors, telomeres and telomerase with their functions, telomerase inhibition strategies, carbazoles approved in...
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Radiation Therapy–Related Changes in Serum Proteome and Lipidome Are Primarily Associated With a Type of Acute Toxicity: Comparison of Radiation-Induced Effects in Patients Treated Because of Head and Neck Cancer or Prostate Cancer
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The Product of Matrix Metalloproteinase Cleavage of Doxorubicin Conjugate for Anticancer Drug Delivery: Calorimetric, Spectroscopic, and Molecular Dynamics Studies on Peptide–Doxorubicin Binding to DNA
PublicationMatrix metalloproteinases (MMPs) are extracellular matrix degradation factors, promoting cancer progression. Hence, they could provide an enzyme-assisted delivery of doxorubicin (DOX) in cancer treatment. In the current study, the intercalation process of DOX and tetrapeptide-DOX, the product of the MMPs' cleavage of carrier-linked DOX, into dsDNA was investigated using stationary and time-resolved fluorescence spectroscopy, UV-Vis...
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Design and Experimental Validation of a Metamaterial-Based Sensor for Microwave Imaging in Breast, Lung, and Brain Cancer Detection
PublicationThis study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and brain cancer. The proposed design consists of a microstrip patch antenna fed by a coplanar waveguide with a metamaterial layer-based lens implemented on the back side, and an artificial magnetic conductor (AMC) realized on as a separate...
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Exploring the Antitumor Efficacy of N-Heterocyclic Nitrilotriacetate Oxidovanadium(IV) Salts on Prostate and Breast Cancer Cells
PublicationThe crystal structures of two newly synthesized nitrilotriacetate oxidovanadium(IV) salts, namely [QH][VO(nta)(H2O)](H2O)2 (I) and [(acr)H][VO(nta)(H2O)](H2O)2 (II), were determined. Additionally, the cytotoxic effects of four N-heterocyclic nitrilotriacetate oxidovanadium(IV) salts— 1,10-phenanthrolinium, [(phen)H][VO(nta)(H2O)](H2O)0.5 (III), 2,2′-bipyridinium [(bpy)H][VO(nta)(H2O)](H2O) (IV), and two newly synthesized compounds...
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Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer
PublicationThe integration of Clinical Decision Support Systems (CDSS) in nowadays clinical environments has not been fully achieved yet. Although numerous approaches and technologies have been proposed since 1960, there are still open gaps that need to be bridged. In this work we present advances from the established state of the art, overcoming some of the most notorious reported difficulties in: (i) automating CDSS, (ii) clinical workflow...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Imidazoacridinone C-1311 induces both autophagy and senescence in human lung cancer A549 cells
PublicationNiedrobnokomórkowy rak płuc (ang. NSCLC, non-small cell lung cancer), stanowiący blisko 80-87% wszystkich przypadków, jest najczęściej występującą formą raka płuc. Skuteczność dotychczas stosowanych chemoterapeutyków w stosunku do tej formy raka jest bardzo ograniczona dlatego poszukuje się nowych związków o lepszych właściwościach leczniczych. Imidazoakrydon C-1311 wykazuje wysoką aktywność cytotoksyczną wobec komórek niedrobnokomórkowego...
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Altered levels of nucleoside metabolite profiles in urogenital tract cancer measured by capillary electrophoresis
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Liquid chromatography tandem mass spectrometry study of urinary nucleosides as potential cancer markers
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Analysis of urinary nucleosides as potential cancer markers determined using LC–MS technique
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Statistical-based approach in potential diagnostic application of urinary nucleosides in urogenital tract cancer
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New approach in determination of urinary diagnostic markers for prostate cancer by MALDI-TOF/MS
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DNA variants in Helicobacter pylori infected patients with chronic gastritis, dysplasia and gastric cancer
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DNA Variants in Helicobacter Pylori Infected Patients with Chronic Gastritis, Dysplasia and Gastric Cancer
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Coexpression of human chorionic gonadotropin beta subunit and its receptor in nontrophoblastic gynecological cancer
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Coordinated reprogramming of renal cancer transcriptome, metabolome and secretome associates with immune tumor infiltration
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Effective kernel‐principal component analysis based approach for wisconsin breast cancer diagnosis
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A potency of plasminogen activation system in long-term prognosis of endometrial cancer: a pilot study
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Drug transporter expression profiling in chemoresistant variants of the A2780 ovarian cancer cell line
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Microneedle‐Based Generation of Microbubbles in Cancer Tumors to Improve Ultrasound‐Assisted Drug Delivery
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Carbon nanotube based dielectric spectroscopy of tumor secretion; electrochemical lipidomics for cancer diagnosis
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Prognostic Value of TOP2A Gene Amplification and Chromosome 17 Polysomy in Early Breast Cancer
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Aggressive Phenotype of Cells Disseminated via Hematogenous and Lymphatic Route in Breast Cancer Patients
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Lipid mediators involved in the oxidative stress and antioxidant defence of human lung cancer cells
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Serum lipid profile discriminates patients with early lung cancer from healthy controls
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Rapana thomasiana hemocyanin modified with ionic liquids with enhanced anti breast cancer activity
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Skin cancer, including related pathways and therapy and the role of luteolin derivatives as potential therapeutics
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MIX2: A Novel Natural Multi-Component Modulator of Multidrug-Resistance and Hallmarks of Cancer Cells
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Sulforaphene, an isothiocyanate present in radish plants, inhibits proliferation of human breast cancer cells
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Identification of serum proteome signatures of locally advanced and metastatic gastric cancer: a pilot study
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