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https://www.readbyqxmd.com/read/28545608/differential-regulation-analysis-reveals-dysfunctional-regulatory-mechanism-involving-transcription-factors-and-micrornas-in-gastric-carcinogenesis
#1
Quanxue Li, Junyi Li, Wentao Dai, Yi-Xue Li, Yuan-Yuan Li
Gastric cancer (GC) is one of the most incident malignancies in the world. Although lots of featured genes and microRNAs (miRNAs) have been identified to be associated with gastric carcinogenesis, underlying regulatory mechanisms still remain unclear. In order to explore the dysfunctional mechanisms of GC, we developed a novel approach to identify carcinogenesis relevant regulatory relationships, which is characterized by quantifying the difference of regulatory relationships between stages. Firstly, we applied the strategy of differential coexpression analysis (DCEA) to transcriptomic datasets including paired mRNA and miRNA of gastric samples to identify a set of genes/miRNAs related to gastric cancer progression...
March 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28542811/integrative-analyses-reveal-biological-pathways-and-key-genes-in-psoriasis
#2
J Dou, L Zhang, X Xie, L Ye, C Yang, L Wen, C Shen, C Zhu, S Zhao, Z Zhu, B Liang, Z Wang, H Li, X Fan, S Liu, X Yin, X Zheng, L Sun, S Yang, Y Cui, F Zhou, X Zhang
BACKGROUND: Psoriasis is a complex disease that is influenced by both genetic and environmental factors with abnormal gene expression in lesional skin. However, no studies are available on genome-scale gene expression of psoriatic lesions in the Chinese population. In addition, systematic studies on the biological pathways, pathogenicity and interaction networks of psoriasis-related genes with abnormal expression profiles require further investigation. OBJECTIVES: To further explore the associated pathways in psoriasis by functional analysis and to identify the key genes by gene pathogenicity analysis...
May 25, 2017: British Journal of Dermatology
https://www.readbyqxmd.com/read/28541380/a-fully-bayesian-latent-variable-model-for-integrative-clustering-analysis-of-multi-type-omics-data
#3
Qianxing Mo, Ronglai Shen, Cui Guo, Marina Vannucci, Keith S Chan, Susan G Hilsenbeck
Identification of clinically relevant tumor subtypes and omics signatures is an important task in cancer translational research for precision medicine. Large-scale genomic profiling studies such as The Cancer Genome Atlas (TCGA) Research Network have generated vast amounts of genomic, transcriptomic, epigenomic, and proteomic data. While these studies have provided great resources for researchers to discover clinically relevant tumor subtypes and driver molecular alterations, there are few computationally efficient methods and tools for integrative clustering analysis of these multi-type omics data...
May 24, 2017: Biostatistics
https://www.readbyqxmd.com/read/28541108/using-qr-codes-to-enable-quick-access-to-information-in-acute-cancer-care
#4
Joanne Upton, Anna Olsson-Brown, Ernie Marshall, Joseph Sacco
Quick access to toxicity management information ensures timely access to steroids/immunosuppressive treatment for cancer patients experiencing immune-related adverse events, thus reducing length of hospital stays or avoiding hospital admission entirely. This article discusses a project to add a QR (quick response) code to a patient-held immunotherapy alert card. As QR code generation is free and the immunotherapy clinical management algorithms were already publicly available through the trust's clinical network website, the costs of integrating a QR code into the alert card, after printing, were low, while the potential benefits are numerous...
May 25, 2017: British Journal of Nursing: BJN
https://www.readbyqxmd.com/read/28537958/everyday-life-after-colon-cancer-the-visible-and-invisible-challenges
#5
Susanne Stuhlfauth, Line Melby, Ragnhild Hellesø
BACKGROUND: There is little research regarding how everyday life is affected by colon cancer treatment. Few studies exist that exclusively examine patients with Dukes C colon cancer. Most studies include other types of bowel cancer and different stages. OBJECTIVES: The aims of this study were to explore and describe how colon cancer survivors experience everyday life in general and sexuality in particular after treatment of Dukes C colon cancer. METHODS: The study is exploratory and descriptive and uses semistructured interviews to collect data...
May 23, 2017: Cancer Nursing
https://www.readbyqxmd.com/read/28536537/-gestaltomics-systems-biology-schemes-for-the-study-of-neuropsychiatric-diseases
#6
REVIEW
Nora A Gutierrez Najera, Osbaldo Resendis-Antonio, Humberto Nicolini
The integration of different sources of biological information about what defines a behavioral phenotype is difficult to unify in an entity that reflects the arithmetic sum of its individual parts. In this sense, the challenge of Systems Biology for understanding the "psychiatric phenotype" is to provide an improved vision of the shape of the phenotype as it is visualized by "Gestalt" psychology, whose fundamental axiom is that the observed phenotype (behavior or mental disorder) will be the result of the integrative composition of every part...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28534931/leucine-rich-glioma-inactivated-3-integrative-analyses-support-its-role-in-the-cytokine-network
#7
Hyun A Kim, Nyoun Soo Kwon, Kwang Jin Baek, Dong-Seok Kim, Hye-Young Yun
Leucine-rich glioma inactivated (LGI)3 is a secreted protein member of LGI family. We previously repo-rted that LGI3 was upregulated in adipose tissues from obese mice and suppressed adipogenesis through its receptor, a disintegrin and metalloproteinase domain-containing protein 23 (ADAM23). We demonstrated that LGI3 regulated tumor necrosis factor-α and adiponectin, and proposed that LGI3 may be a pro-inflammatory adipokine involved in adipose tissue inflammation. In this study, we analyzed adipokine and cytokine profiles in LGI3 knockout mice and demonstrated that multiple factors were increased or decreased in the adipose tissues and plasma of the LGI3 knockout mice...
May 15, 2017: International Journal of Molecular Medicine
https://www.readbyqxmd.com/read/28533502/clinical-value-and-prospective-pathway-signaling-of-microrna-375-in-lung-adenocarcinoma-a-study-based-on-the-cancer-genome-atlas-tcga-gene-expression-omnibus-geo-and-bioinformatics-analysis
#8
Ting-Qing Gan, Wen-Jie Chen, Hui Qin, Su-Ning Huang, Li-Hua Yang, Ye-Ying Fang, Lin-Jiang Pan, Zu-Yun Li, Gang Chen
BACKGROUND Lung adenocarcinoma (LUAD) is the most frequent lung cancer. MicroRNAs (miRNAs) are believed to have fundamental roles in tumorigenesis of LUAD. Although miRNAs are broadly recognized in LUAD, the role of microRNA-375 in LUAD is still not fully elucidated. MATERIAL AND METHODS We evaluated the significance of miR-375 expression in LUAD by using analysis of a public dataset from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database and a literature review. Furthermore, we investigated the biological function of miR-375 by gene ontology enrichment and target prediction analysis...
May 23, 2017: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
https://www.readbyqxmd.com/read/28533479/the-landscape-of-dna-methylation-mediated-regulation-of-long-non-coding-rnas-in-breast-cancer
#9
Chunlong Zhang, Xinyu Wang, Xuecang Li, Ning Zhao, Yihan Wang, Xiaole Han, Ce Ci, Jian Zhang, Meng Li, Yan Zhang
Although systematic studies have identified a host of long non-coding RNAs (lncRNAs) which are involved in breast cancer, the knowledge about the methyla-tion-mediated dysregulation of those lncRNAs remains limited. Here, we integrated multi-omics data to analyze the methylated alteration of lncRNAs in breast invasive carcinoma (BRCA). We found that lncRNAs showed diverse methylation patterns on promoter regions in BRCA. LncRNAs were divided into two categories and four subcategories based on their promoter methylation patterns and expression levels be-tween tumor and normal samples...
May 8, 2017: Oncotarget
https://www.readbyqxmd.com/read/28533155/indications-and-techniques-for-robotic-pelvic-and-para-aortic-lymphadenectomy-with-sentinel-lymph-node-mapping-in-gynecologic-oncology
#10
REVIEW
Ketura Preya A Wisner, Sarfraz Ahmad, Robert W Holloway
Robotic-assisted laparoscopic surgery is the most common approach for the treatment of early-stage endometrial and cervical cancers in the US. Surgical staging requires pelvic and often aortic lymphadenectomy, depending on the primary tumor characteristics. Pelvic and aortic lymphadenectomy procedures may also be indicated for debulking of larger metastases to improve disease control. The infra-renal basin is an important anatomic site of metastasis from pelvic tumors, and robotic dissection techniques for this site have been described...
April 24, 2017: Best Practice & Research. Clinical Obstetrics & Gynaecology
https://www.readbyqxmd.com/read/28529601/identification-of-breast-cancer-prognostic-modules-based-on-weighted-protein-protein-interaction-networks
#11
Wan Li, Xue Bai, Erqiang Hu, Hao Huang, Yiran Li, Yuehan He, Junjie Lv, Lina Chen, Weiming He
Breast cancer is one of the leading causes of mortality in females. A number of prognostic markers have been identified, including single genes, multi-gene signatures and network modules; however, the robustness of these prognostic markers is insufficient. Thus, the present study proposed a more robust method to identify breast cancer prognostic modules based on weighted protein-protein interaction networks, by integrating four sets of disease-associated expression profiles. Three identified prognostic modules were closely associated with prognosis-associated functions and survival time, as determined by Cox regression and Kaplan-Meier survival analyses...
May 2017: Oncology Letters
https://www.readbyqxmd.com/read/28524896/distress-screening-evaluating-a-protocol-for-gynecologic-cancer-survivors%C3%A2
#12
Cynae Johnson, Marshalee George, Amanda N Fader
BACKGROUND: A gynecologic cancer diagnosis and subsequent treatment may cause significant morbidity, leading to increased distress levels and poorer quality of life (QOL) for survivors. Clinicians have explored opportunities to integrate comprehensive distress management protocols into clinical settings using existing supportive care resources.
. OBJECTIVES: The aims were to improve multidisciplinary management of distress using a clinical pathway for gynecologic cancer survivors and to improve patient satisfaction with distress management...
June 1, 2017: Clinical Journal of Oncology Nursing
https://www.readbyqxmd.com/read/28523139/an-overview-of-the-use-of-artificial-neural-networks-in-lung-cancer-research
#13
EDITORIAL
Luca Bertolaccini, Piergiorgio Solli, Alessandro Pardolesi, Antonello Pasini
The artificial neural networks (ANNs) are statistical models where the mathematical structure reproduces the biological organisation of neural cells simulating the learning dynamics of the brain. Although definitions of the term ANN could vary, the term usually refers to a neural network used for non-linear statistical data modelling. The neural models applied today in various fields of medicine, such as oncology, do not aim to be biologically realistic in detail but just efficient models for nonlinear regression or classification...
April 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28522750/inhibition-of-mitochondrial-matrix-chaperones-and-anti-apoptotic-bcl-2-family-proteins-empower-antitumor-therapeutic-responses
#14
Georg Karpel-Massler, Chiaki Tsuge Ishida, Elena Bianchetti, Chang Shu, Rolando Perez-Lorenzo, Basil Horst, Matei Banu, Kevin A Roth, Jeffrey N Bruce, Peter Canoll, Dario C Altieri, Markus D Siegelin
Rational therapeutic approaches based on synthetic lethality may improve cancer management. Based on a high-throughput drug screen, we provide preclinical proof of concept that targeting the mitochondrial Hsp90 chaperone network (mtHsp90) and inhibition of Bcl-2, Bcl-xL and Mcl-1 is sufficient to elicit synthetic lethality in tumors recalcitrant to therapy. Our analyses focused on BH3 mimetics that are broad acting (ABT263 and Obatoclax) or selective (ABT199, WEHI-539 and A1210477), along with the established mitochondrial matrix chaperone inhibitor Gamitrinib-TPP...
May 18, 2017: Cancer Research
https://www.readbyqxmd.com/read/28521423/molecular-dysexpression-in-gastric-cancer-revealed-by-integrated-analysis-of-transcriptome-data
#15
Xiaomei Li, Weiwei Dong, Xueling Qu, Huixia Zhao, Shuo Wang, Yixin Hao, Qiuwen Li, Jianhua Zhu, Min Ye, Wenhua Xiao
Gastric cancer (GC) is often diagnosed in the advanced stages and is associated with a poor prognosis. Obtaining an in depth understanding of the molecular mechanisms of GC has lagged behind compared with other cancers. This study aimed to identify candidate biomarkers for GC. An integrated analysis of microarray datasets was performed to identify differentially expressed genes (DEGs) between GC and normal tissues. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were then performed to identify the functions of the DEGs...
May 2017: Oncology Letters
https://www.readbyqxmd.com/read/28521404/silencing-tak1-alters-gene-expression-signatures-in-bladder-cancer-cells
#16
Jimin Chen, Nan Zhang, Jiaming Wen, Zhewei Zhang
The aim of the present study was to identify the differentially expressed genes (DEGs) that are induced by the silencing of transforming growth factor-β-activated kinase 1 (TAK1) in bladder cancer cells and to analyze the potential biological effects. Dataset GSE52452 from mutant fibroblast growth factor receptor 3 (FGFR3) bladder cancer cells transfected with control siRNA or TAK1-specific siRNA was downloaded from Gene Expression Omnibus. The DEGs between the two groups were identified using Limma package following data pre-processing by Affy in Bioconductor...
May 2017: Oncology Letters
https://www.readbyqxmd.com/read/28521182/should-nonsmokers-be-excluded-from-early-lung-cancer-screening-with-low-dose-spiral-computed-tomography-community-based-practice-in-shanghai
#17
Xiaoyang Luo, Shanbo Zheng, Quan Liu, Shengping Wang, Yuan Li, Lei Shen, Guodong Li, Wentao Li, Yanping Zhao, Huilin Xu, Jing Wang, Xiaohua Liu, Yunjian Pan, Hong Hu, Yihua Sun, Haiyan Yang, Su Xu, Haiquan Chen
OBJECTIVE: We investigated the efficacy of early lung cancer screening with low-dose spiral computed tomography(LDCT) in both smokers and nonsmokers based on the current situation of community health service, with integration of superior resources of medical institutions at all levels in Shanghai. METHODS: From August 2013 to August 2014, we screened 11,332 (male 7144; female 4188) high-risk individuals in selected communities of Minhang, Shanghai City, for early diagnosis of lung cancer with LDCT combined with multidisciplinary comprehensive treatment pattern including minimally invasive surgery, exploring the medical service network covering prevention, diagnosis, treatment, rehabilitation, and follow-up...
May 15, 2017: Translational Oncology
https://www.readbyqxmd.com/read/28520777/network-based-stratification-of-major-cancers-by-integrating-somatic-mutation-and-gene-expression-data
#18
Zongzhen He, Junying Zhang, Xiguo Yuan, Zhaowen Liu, Baobao Liu, Shouheng Tuo, Yajun Liu
The stratification of cancer into subtypes that are significantly associated with clinical outcomes is beneficial for targeted prognosis and treatment. In this study, we integrated somatic mutation and gene expression data to identify clusters of patients. In contrast to previous studies, we constructed cancer-type-specific significant co-expression networks (SCNs) rather than using a fixed gene network across all cancers, such as the network-based stratification (NBS) method, which ignores cancer heterogeneity...
2017: PloS One
https://www.readbyqxmd.com/read/28515341/bet-bromodomain-inhibition-suppresses-innate-inflammatory-and-profibrotic-transcriptional-networks-in-heart-failure
#19
Qiming Duan, Sarah McMahon, Priti Anand, Hirsh Shah, Sean Thomas, Hazel T Salunga, Yu Huang, Rongli Zhang, Aarathi Sahadevan, Madeleine E Lemieux, Jonathan D Brown, Deepak Srivastava, James E Bradner, Timothy A McKinsey, Saptarsi M Haldar
Despite current standard of care, the average 5-year mortality after an initial diagnosis of heart failure (HF) is about 40%, reflecting an urgent need for new therapeutic approaches. Previous studies demonstrated that the epigenetic reader protein bromodomain-containing protein 4 (BRD4), an emerging therapeutic target in cancer, functions as a critical coactivator of pathologic gene transactivation during cardiomyocyte hypertrophy. However, the therapeutic relevance of these findings to human disease remained unknown...
May 17, 2017: Science Translational Medicine
https://www.readbyqxmd.com/read/28514737/integration-of-phytochemicals-and-phytotherapy-into-cancer-precision-medicine
#20
REVIEW
Thomas Efferth, Mohamed E M Saeed, Elhaj Mirghani, Awadh Alim, Zahir Yassin, Elfatih Saeed, Hassan E Khalid, Salah Daak
Concepts of individualized therapy in the 1970s and 1980s attempted to develop predictive in vitro tests for individual drug responsiveness without reaching clinical routine. Precision medicine attempts to device novel individual cancer therapy strategies. Using bioinformatics, relevant knowledge is extracted from huge data amounts. However, tumor heterogeneity challenges chemotherapy due to genetically and phenotypically different cell subpopulations, which may lead to refractory tumors. Natural products always served as vital resources for cancer therapy (e...
April 27, 2017: Oncotarget
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