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https://www.readbyqxmd.com/read/29679847/deep-learning-in-mammography-and-breast-histology-an-overview-and-future-trends
#1
Azam Hamidinekoo, Erika Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar
Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promising results reported by deep learning based methods in breast imaging, an overview of the recent state-of-the-art deep learning based CAD systems developed for mammography and breast histopathology images is presented. In this study, the relationship between mammography and histopathology phenotypes is described, which takes biological aspects into account...
March 26, 2018: Medical Image Analysis
https://www.readbyqxmd.com/read/29679573/circrna-expression-analysis-in-lung-adenocarcinoma-comparison-of-paired-fresh-frozen-and-formalin-fixed-paraffin-embedded-specimens
#2
Fan Zhang, Xing Zhao, Hongyan Dong, Jianzhen Xu
Circular RNA (circRNAs) is a novel class of endogenous non-coding RNAs which is widely involved in carcinogenesis. Archived formalin-fixed paraffin-embedded (FFPE) specimens represent valuable resources for cancer research. Currently there is a lack of systematic analysis on the feasibility of circRNAs expression analysis using FFPE samples. Here, we reported the first comparison study of circRNA expression from paired fresh frozen and FFPE specimens of lung adenocarcinoma. circRNAs expression of paired lung adenocarcinoma and adjacent normal samples, starting from either fresh frozen or FFPE materials, were analyzed via a high-throughput circRNA microarray...
April 18, 2018: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/29679519/designing-anticancer-peptides-by-constructive-machine-learning
#3
Francesca Grisoni, Claudia Neuhaus, Gisela Gabernet, Alex Müller, Jan Hiss, Gisbert Schneider
Constructive machine learning enables the automated generation of novel chemical structures without the need for explicit molecular design rules. This study presents the experimental application of such a generative model to design membranolytic anticancer peptides (ACPs) de novo. A recurrent neural network with long short-term memory cells was trained on alpha-helical cationic amphipathic peptide sequences and then fine-tuned with 26 known ACPs. This optimized model was used to generate unique and novel amino acid sequences...
April 21, 2018: ChemMedChem
https://www.readbyqxmd.com/read/29679214/improvement-of-radiology-reporting-in-a-clinical-cancer-network-impact-of-an-optimised-multidisciplinary-workflow
#4
A W Olthof, J Borstlap, W W Roeloffzen, P M C Callenbach, P M A van Ooijen
PURPOSE: To assess the effectiveness of implementing a quality improvement project in a clinical cancer network directed at the response assessment of oncology patients according to RECIST-criteria. METHODS: Requests and reports of computed tomography (CT) studies from before (n = 103) and after (n = 112) implementation of interventions were compared. The interventions consisted of: a multidisciplinary working agreement with a clearly described workflow; subspecialisation of radiologists; adaptation of the Picture Archiving and Communication System (PACS); structured reporting...
April 20, 2018: European Radiology
https://www.readbyqxmd.com/read/29679033/innovatively-therapeutic-strategy-on-lung-cancer-by-daily-drinking-antioxidative-plasmon-induced-activated-water
#5
Chien-Kai Wang, Hsiao-Chien Chen, Sheng-Uei Fang, Chia-Wen Ho, Cheng-Jeng Tai, Chih-Ping Yang, Yu-Chuan Liu
Many human diseases are inflammation-related, such as cancer and those associated with aging. Previous studies demonstrated that plasmon-induced activated (PIA) water with electron-doping character, created from hot electron transfer via decay of excited Au nanoparticles (NPs) under resonant illumination, owns reduced hydrogen-bonded networks and physchemically antioxidative properties. In this study, it is demonstrated PIA water dramatically induced a major antioxidative Nrf2 gene in human gingival fibroblasts which further confirms its cellular antioxidative and anti-inflammatory properties...
April 20, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29678975/incidence-of-superficial-venous-thrombosis-in-primary-care-and-risk-of-subsequent-venous-thromboembolic-sequelae-a-retrospective-cohort-study-performed-with-routine-healthcare-data-from-the-netherlands
#6
Geert-Jan Geersing, Selma Cazemier, Frans Rutten, David A Fitzmaurice, Arno W Hoes
OBJECTIVES: Recent studies in referred populations of patients with superficial venous thrombosis (SVT) report risks of venous thromboembolic (VTE) sequelae (deep vein thrombosis or pulmonary embolism) as high as 25%. Likely, these estimates are lower in non-referred patients, but large-scale population-based studies are lacking. We aimed to estimate the incidence rate of SVT in primary care and quantify its risk of VTE sequelae. DESIGN: A retrospective cohort study, using International Classification of Primary Care coding (K94...
April 20, 2018: BMJ Open
https://www.readbyqxmd.com/read/29678492/hmga1a-induces-alternative-splicing-of-estrogen-receptor-alpha-in-mcf-7-human-breast-cancer-cells
#7
Kenji Ohe, Shinsuke Miyajima, Tomoko Tanaka, Yuriko Hamaguchi, Yoshihiro Harada, Yuta Horita, Yuki Beppu, Fumiaki Ito, Takafumi Yamasaki, Hiroki Terai, Masayoshi Mori, Yusuke Murata, Makito Tanabe, Kenji Ashida, Munechika Enjoji, Toshihiko Yanase, Nobuhiro Harada, Toshiaki Utsumi, Akila Mayeda
The high-mobility group A protein 1a (HMGA1a) protein is known as an oncogene whose expression level in cancer tissue correlates with the malignant potential, and known as a component of senescence-related structures connecting it to tumor suppressor networks in fibroblasts. HMGA1 protein binds to DNA, but recent studies have shown it exerts novel functions through RNA-binding. Our previous studies have shown that sequence-specific RNA-binding of HMGA1a induces exon-skipping of Presenilin-2 exon 5 in sporadic Alzheimer disease...
April 17, 2018: Journal of Steroid Biochemistry and Molecular Biology
https://www.readbyqxmd.com/read/29677931/predicting-clinical-outcomes-in-colorectal-cancer-using-machine-learning
#8
Julian Gründner, Hans-Ulrich Prokosch, Michael Stürzl, Roland Croner, Jan Christoph, Dennis Toddenroth
Using gene markers and other patient features to predict clinical outcomes plays a vital role in enhancing clinical decision making and improving prognostic accuracy. This work uses a large set of colorectal cancer patient data to train predictive models using machine learning methods such as random forest, general linear model, and neural network for clinically relevant outcomes including disease free survival, survival, radio-chemotherapy response (RCT-R) and relapse. The most successful predictive models were created for dichotomous outcomes like relapse and RCT-R with accuracies of 0...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/29677166/in-vitro-identification-of-new-transcriptomic-and-mirnomic-profiles-associated-with-pulmonary-fibrosis-induced-by-high-doses-everolimus-looking-for-new-pathogenetic-markers-and-therapeutic-targets
#9
Simona Granata, Gloria Santoro, Valentina Masola, Paola Tomei, Fabio Sallustio, Paola Pontrelli, Matteo Accetturo, Nadia Antonucci, Pierluigi Carratù, Antonio Lupo, Gianluigi Zaza
The administration of Everolimus (EVE), a mTOR inhibitor used in transplantation and cancer, is often associated with adverse effects including pulmonary fibrosis. Although the underlying mechanism is not fully clarified, this condition could be in part caused by epithelial to mesenchymal transition (EMT) of airway cells. To improve our knowledge, primary bronchial epithelial cells (BE63/3) were treated with EVE (5 and 100 nM) for 24 h. EMT markers (α-SMA, vimentin, fibronectin) were measured by RT-PCR. Transepithelial resistance was measured by Millicell-ERS ohmmeter...
April 20, 2018: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/29676997/mining-tcga-database-for-genes-of-prognostic-value-in-glioblastoma-microenvironment
#10
Di Jia, Shenglan Li, Dali Li, Haipeng Xue, Dan Yang, Ying Liu
Glioblastoma (GBM) is one of the most deadly brain tumors. The convenient access to The Cancer Genome Atlas (TCGA) database allows for large-scale global gene expression profiling and database mining for potential correlation between genes and overall survival of a variety of malignancies including GBM. Previous reports have shown that tumor microenvironment cells and the extent of infiltrating immune and stromal cells in tumors contribute significantly to prognosis. Immune scores and stromal scores calculated based on the ESTIMATE algorithm could facilitate the quantification of the immune and stromal components in a tumor...
April 16, 2018: Aging
https://www.readbyqxmd.com/read/29676152/anti-cancer-effects-of-emodin-on-hepg2-cells-as-revealed-by-1h-nmr-based-metabolic-profiling
#11
Yue-Xiao Xing, Ming-Hui Li, Liang Tao, Ling-Yu Ruan, Wei Hong, Cheng Chen, Wen-Long Zhao, Han Xu, Jian-Feng Chen, Jun-Song Wang
Hepatic carcinoma is one of the most common cancers in the world with a high incidence. Emodin is an anthraquinone derived from Polygonum multiflorum Thunb, possessing anti-cancer activity. The purpose of this study is to investigate the anti-cancer effect of different dosages of emodin on HepG2 cells using 1H-NMR based metabolic approach complemented with qRT-PCR and flow cytometry to identify potential markers and discover the targets to explore the underlying mechanism. Emodin can dose-dependently inhibit the growth of HepG2 cells, perturb cell cycle progression, down-regulate the expression of genes and proteins related to glycolysis and trigger intracellular ROS generation...
April 20, 2018: Journal of Proteome Research
https://www.readbyqxmd.com/read/29675884/specific-breast-cancer-prognosis-subtype-distinctions-based-on-dna-methylation-patterns
#12
Shumei Zhang, Yihan Wang, Yue Gu, Jiang Zhu, Ce Ci, Zhongfu Guo, Chuangeng Chen, Yanjun Wei, Wenhua Lv, Hongbo Liu, Dongwei Zhang, Yan Zhang
Tumor heterogeneity is an obstacle to effective breast cancer diagnosis and therapy. DNA methylation is an important regulator of gene expression, thus characterizing tumor heterogeneity by epigenetic features can be clinically informative. In this study, we explored specific prognosis-subtypes based on DNA methylation status using 669 breast cancers from TCGA database. Nine subgroups were distinguished by consensus clustering using 3869 CpGs that significantly influenced survival. The specific DNA methylation patterns were reflected by different races, ages, tumor stages, receptor status, histological types, metastasis status and prognosis...
April 19, 2018: Molecular Oncology
https://www.readbyqxmd.com/read/29675654/development-of-a-professional-certification-in-cancer-patient-education
#13
Janet Papadakos, Anna D'souza, Adeline Masse, Susan Boyko, Susan Clarke, Meredith Giuliani, Keira MacKinnon, Sarah McBain, Meg McCallum, Jan MacVinnie, Tina Papadakos
Patient educators come into the field from diverse professional backgrounds and often lack training in how to teach and develop patient education resources since no formal patient education professional certification program exists. A professional certification program for patient educators would further define the professional scope of practice and reduce variability in performance. The purpose of this study was to (1) determine the level of interest among Canadian cancer patient educators in a patient education professional certification program and (2) determine the competencies to be included in the professional certification program...
April 19, 2018: Journal of Cancer Education: the Official Journal of the American Association for Cancer Education
https://www.readbyqxmd.com/read/29675101/a-network-meta-analysis-comparing-the-efficacy-and-safety-of-anti-pd-1-with-anti-pd-l1-in-non-small-cell-lung-cancer
#14
Wei You, Mei Liu, Ji-Dong Miao, Yu-Qian Liao, Yi-Bing Song, Dian-Kun Cai, Yang Gao, Hao Peng
Background : This network meta-analysis aimed at comparing anti-programmed death 1 (anti-PD-1) with anti-programmed death ligand 1(anti-PD-L1) immunotherapy in patients with metastatic, previously treated non-small cell lung cancer (NSCLC) who failed first-line treatment. Methods : We searched electronic databases to identify all eligible clinical trials. End-points included overall survival (OS), progression-free survival (PFS) and objective response. Hazard ratios (HRs) or odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were extracted...
2018: Journal of Cancer
https://www.readbyqxmd.com/read/29673981/synthesis-and-evaluation-of-new-2-chloro-4-aminopyrimidine-and-2-6-dimethyl-4-aminopyrimidine-derivatives-as-tubulin-polymerization-inhibitors
#15
Shaoyu Xu, Baijiao An, Yuxin Li, Xunbang Luo, Xingshu Li, Xian Jia
Eighteen new 2-chloro-4-aminopyrimidine and 2,6-dimethyl-4-aminopyrimidine derivatives were synthesized and evaluated as tubulin polymerization inhibitor for the treatment of cancer. Among them, compounds 10, 17, 20 and 21 exhibited potent antiproliferative activities against five human cancer cell lines. Microtubule dynamics assay showed that compound 17 could effectively inhibit tubulin polymerization. Molecular docking studies were also carried out to understand the binding pattern. Further mechanism studies revealed that 17 could induce G2/M phase arrest, disrupt the organization of the cellular microtubule network and induce cell apoptosis and mitochondrial dysfunction...
April 12, 2018: Bioorganic & Medicinal Chemistry Letters
https://www.readbyqxmd.com/read/29673970/the-role-of-compartmentalized-signaling-pathways-in-the-control-of-mitochondrial-activities-in-cancer-cells
#16
REVIEW
Laura Rinaldi, Rossella Delle Donne, Domenica Borzacchiello, Luigi Insabato, Antonio Feliciello
Mitochondria are the powerhouse organelles present in all eukaryotic cells. They play a fundamental role in cell respiration, survival and metabolism. Stimulation of G-protein coupled receptors (GPCRs) by dedicated ligands and consequent activation of the cAMP·PKA pathway finely coupleenergy production and metabolism to cell growth and survival. Compartmentalization of PKA signaling at mitochondria by A-Kinase Anchor Proteins (AKAPs) ensures efficient transduction of signals generated at the cell membrane to the organelles, controlling important aspects of mitochondrial biology...
April 16, 2018: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/29673795/electrochemotherapy-for-breast-cancer-results-from-the-inspect-database
#17
Louise Wichmann Matthiessen, Mohammed Keshtgar, Pietro Curatolo, Christian Kunte, Eva-Maria Grischke, Joy Odili, Tobian Muir, David Mowatt, James P Clover, Se Hwang Liew, Karin Dahlstroem, Jackie Newby, Valerie Letulé, Eva Stauss, Alison Humphreys, Shramana Banerjee, Annette Klein, Roberta Rotunno, Francesca de Terlizzi, Julie Gehl
BACKGROUND: Cutaneous recurrence from breast cancer can pose a clinical challenge. It might be the only disease site, or could be part of disseminated disease, and often profoundly affects quality of life. Electrochemotherapy is a palliative treatment using electric pulses to locally permeabilize tumor cells and thereby significantly increase bleomycin cytotoxicity. Collaborating with the International Network for Sharing Practice on ElectroChemoTherapy (INSPECT), we consecutively and prospectively accrued data on patients treated with electrochemotherapy for cutaneous metastases from breast cancer...
March 14, 2018: Clinical Breast Cancer
https://www.readbyqxmd.com/read/29673791/the-effects-of-polysaccharides-from-auricularia-auricula-huaier-in-adjuvant-anti-gastrointestinal-cancer-therapy-a-systematic-review-and-network-meta-analysis
#18
REVIEW
Yan Ma, Chen Wang, Qi Zhang, Xia Peng, Ying Feng, Xianjun Meng
The aim of this study was to assess the comparative efficacy and safety of polysaccharides from Auricularia auricula (Huaier) for patients with gastrointestinal cancers (GICs) through a systematic review and network meta-analysis. We performed a network meta-analysis to identify evidence from clinical trials. We searched databases for publications up to February 2018. The prespecified primary efficacy outcomes were clinical therapeutic effects, which included the treatment response rate, 0.5-year overall survival rate, 1-year overall survival rate, 2-year overall survival rate, KPS improved rate and AFP decreased rate...
April 16, 2018: Pharmacological Research: the Official Journal of the Italian Pharmacological Society
https://www.readbyqxmd.com/read/29672926/insights-into-the-etiology-associated-gene-regulatory-networks-in-hepatocellular-carcinoma-from-the-cancer-genome-atlas
#19
Veerabrahma Pratap Seshachalam, Karthik Sekar, Kam M Hui
BACKGROUND AND AIM: Hepatitis B virus, hepatitis C virus, alcoholic consumption and non-alcoholic fatty liver are the major known risk factors for Hepatocellular carcinoma (HCC). There have been very few studies comparing the underlying biological mechanisms associated with the different etiologies of HCC. In this study, we hypothesized the existence of different regulatory networks associated with different liver disease etiologies involved in hepatocarcinogenesis. METHODS: Using upstream regulatory analysis tool in ingenuity pathway analysis software, URs were predicted using differential expressed genes for HCC to facilitate the interrogation of global gene regulation...
April 19, 2018: Journal of Gastroenterology and Hepatology
https://www.readbyqxmd.com/read/29672841/mutant-myo1f-alters-the-mitochondrial-network-and-induces-tumor-proliferation-in-thyroid-cancer
#20
Chiara Diquigiovanni, Christian Bergamini, Cecilia Evangelisti, Federica Isidori, Andrea Vettori, Natascia Tiso, Francesco Argenton, Anna Costanzini, Luisa Iommarini, Hima Anbunathan, Uberto Pagotto, Andrea Repaci, Giulia Babbi, Rita Casadio, Giorgio Lenaz, Kerry J Rhoden, Anna Maria Porcelli, Romana Fato, Anne Bowcock, Marco Seri, Giovanni Romeo, Elena Bonora
Familial aggregation is a significant risk factor for the development of thyroid cancer and Familial Non-Medullary Thyroid Cancer (FNMTC) accounts for 5-7% of all NMTC. Whole Exome Sequencing analysis in the family affected by FNMTC with oncocytic features where our group previously identified a predisposing locus on chromosome 19p13.2, revealed a novel heterozygous mutation (c.400G>A, NM_012335; p.Gly134Ser) in exon 5 of MYO1F, mapping to the linkage locus. In the thyroid FRTL-5 cell model stably expressing the mutant MYO1F p...
April 19, 2018: International Journal of Cancer. Journal International du Cancer
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