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https://www.readbyqxmd.com/read/28327601/bcip-a-gene-centered-platform-for-identifying-potential-regulatory-genes-in-breast-cancer
#1
Jiaqi Wu, Shuofeng Hu, Yaowen Chen, Zongcheng Li, Jian Zhang, Hanyu Yuan, Qiang Shi, Ningsheng Shao, Xiaomin Ying
Breast cancer is a disease with high heterogeneity. Many issues on tumorigenesis and progression are still elusive. It is critical to identify genes that play important roles in the progression of tumors, especially for tumors with poor prognosis such as basal-like breast cancer and tumors in very young women. To facilitate the identification of potential regulatory or driver genes, we present the Breast Cancer Integrative Platform (BCIP, http://omics.bmi.ac.cn/bcancer/). BCIP maintains multi-omics data selected with strict quality control and processed with uniform normalization methods, including gene expression profiles from 9,005 tumor and 376 normal tissue samples, copy number variation information from 3,035 tumor samples, microRNA-target interactions, co-expressed genes, KEGG pathways, and mammary tissue-specific gene functional networks...
March 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28327132/simultaneous-analysis-of-mirna-mrna-in-human-meningiomas-by-integrating-transcriptome-a-relationship-between-ptx3-and-mir-29c
#2
Altay Burak Dalan, Sukru Gulluoglu, Emre Can Tuysuz, Aysegul Kuskucu, Cumhur Kaan Yaltirik, Oguz Ozturk, Ugur Ture, Omer Faruk Bayrak
BACKGROUND: Although meningioma is a common disease, there is a lack of understanding of the underlying molecular mechanisms behind its initiation and progression. We used combined miRNA-mRNA transcriptome analysis to discover dysregulated genes and networks in meningiomas. METHODS: Fourteen fresh-frozen meningioma samples and one human meningeal cell line were analyzed by using miRNA and whole transcriptome microarray chips. Data was filtered and analyzed. Candidate miRNAs and mRNAs were selected for validation in fifty-eight patient samples...
March 21, 2017: BMC Cancer
https://www.readbyqxmd.com/read/28316892/from-big-data-to-diagnosis-and-prognosis-gene-expression-signatures-in-liver-hepatocellular-carcinoma
#3
Hong Yang, Xin Zhang, Xiao-Yong Cai, Dong-Yue Wen, Zhi-Hua Ye, Liang Liang, Lu Zhang, Han-Lin Wang, Gang Chen, Zhen-Bo Feng
BACKGROUND: Liver hepatocellular carcinoma accounts for the overwhelming majority of primary liver cancers and its belated diagnosis and poor prognosis call for novel biomarkers to be discovered, which, in the era of big data, innovative bioinformatics and computational techniques can prove to be highly helpful in. METHODS: Big data aggregated from The Cancer Genome Atlas and Natural Language Processing were integrated to generate differentially expressed genes...
2017: PeerJ
https://www.readbyqxmd.com/read/28314784/integrative-cancer-pharmacogenomics-to-infer-large-scale-drug-taxonomy
#4
Nehme El-Hachem, Deena M A Gendoo, Laleh Soltan Ghoraie, Zhaleh Safikhani, Petr Smirnov, Christina Chung, Kenan Deng, Alisa Fang, Erin Birkwood, Chantal Ho, Ruth Isserlin, Gary Bader, Anna Goldenberg, Benjamin Haibe-Kains
Identification of drug targets and mechanism of action (MoA) for new and uncharacterized anticancer drugs is important for optimization of treatment efficacy. Current MoA prediction largely relies on prior information including side effects, therapeutic indication, and chemo-informatics. Such information is not transferable or applicable for newly identified, previously uncharacterized small molecules. Therefore, a shift in the paradigm of MoA predictions is necessary towards development of unbiased approaches that can elucidate drug relationships and efficiently classify new compounds with basic input data...
March 17, 2017: Cancer Research
https://www.readbyqxmd.com/read/28300784/the-molecular-basis-of-toxins-interactions-with-intracellular-signaling-via-discrete-portals
#5
REVIEW
Adi Lahiani, Ephraim Yavin, Philip Lazarovici
An understanding of the molecular mechanisms by which microbial, plant or animal-secreted toxins exert their action provides the most important element for assessment of human health risks and opens new insights into therapies addressing a plethora of pathologies, ranging from neurological disorders to cancer, using toxinomimetic agents. Recently, molecular and cellular biology dissecting tools have provided a wealth of information on the action of these diverse toxins, yet, an integrated framework to explain their selective toxicity is still lacking...
March 16, 2017: Toxins
https://www.readbyqxmd.com/read/28297679/integrative-genomic-analysis-of-cholangiocarcinoma-identifies-distinct-idh-mutant-molecular-profiles
#6
Farshad Farshidfar, Siyuan Zheng, Marie-Claude Gingras, Yulia Newton, Juliann Shih, A Gordon Robertson, Toshinori Hinoue, Katherine A Hoadley, Ewan A Gibb, Jason Roszik, Kyle R Covington, Chia-Chin Wu, Eve Shinbrot, Nicolas Stransky, Apurva Hegde, Ju Dong Yang, Ed Reznik, Sara Sadeghi, Chandra Sekhar Pedamallu, Akinyemi I Ojesina, Julian M Hess, J Todd Auman, Suhn K Rhie, Reanne Bowlby, Mitesh J Borad, Andrew X Zhu, Josh M Stuart, Chris Sander, Rehan Akbani, Andrew D Cherniack, Vikram Deshpande, Taofic Mounajjed, Wai Chin Foo, Michael S Torbenson, David E Kleiner, Peter W Laird, David A Wheeler, Autumn J McRee, Oliver F Bathe, Jesper B Andersen, Nabeel Bardeesy, Lewis R Roberts, Lawrence N Kwong
Cholangiocarcinoma (CCA) is an aggressive malignancy of the bile ducts, with poor prognosis and limited treatment options. Here, we describe the integrated analysis of somatic mutations, RNA expression, copy number, and DNA methylation by The Cancer Genome Atlas of a set of predominantly intrahepatic CCA cases and propose a molecular classification scheme. We identified an IDH mutant-enriched subtype with distinct molecular features including low expression of chromatin modifiers, elevated expression of mitochondrial genes, and increased mitochondrial DNA copy number...
March 14, 2017: Cell Reports
https://www.readbyqxmd.com/read/28295050/network-analysis-reveals-crosstalk-between-autophagy-genes-and-disease-genes
#7
Ji-Ye Wang, Wei-Xuan Yao, Yun Wang, Yi-Lei Fan, Jian-Bing Wu
Autophagy is a protective and life-sustaining process in which cytoplasmic components are packaged into double-membrane vesicles and targeted to lysosomes for degradation. Accumulating evidence supports that autophagy is associated with several pathological conditions. However, research on the functional cross-links between autophagy and disease genes remains in its early stages. In this study, we constructed a disease-autophagy network (DAN) by integrating known disease genes, known autophagy genes and protein-protein interactions (PPI)...
March 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28292439/integrated-molecular-characterization-of-uterine-carcinosarcoma
#8
Andrew D Cherniack, Hui Shen, Vonn Walter, Chip Stewart, Bradley A Murray, Reanne Bowlby, Xin Hu, Shiyun Ling, Robert A Soslow, Russell R Broaddus, Rosemary E Zuna, Gordon Robertson, Peter W Laird, Raju Kucherlapati, Gordon B Mills, John N Weinstein, Jiashan Zhang, Rehan Akbani, Douglas A Levine
We performed genomic, epigenomic, transcriptomic, and proteomic characterizations of uterine carcinosarcomas (UCSs). Cohort samples had extensive copy-number alterations and highly recurrent somatic mutations. Frequent mutations were found in TP53, PTEN, PIK3CA, PPP2R1A, FBXW7, and KRAS, similar to endometrioid and serous uterine carcinomas. Transcriptome sequencing identified a strong epithelial-to-mesenchymal transition (EMT) gene signature in a subset of cases that was attributable to epigenetic alterations at microRNA promoters...
March 13, 2017: Cancer Cell
https://www.readbyqxmd.com/read/28288905/bioinformatic-approaches-to-interrogating-vitamin-d-receptor-signaling
#9
Moray J Campbell
Bioinformatics applies unbiased approaches to develop statistically-robust insight into health and disease. At the global, or "20,000 foot" view bioinformatic analyses of vitamin D receptor (NR1I1/VDR) signaling can measure where the VDR gene or protein exerts a genome-wide significant impact on biology; VDR is significantly implicated in bone biology and immune systems, but not in cancer. With a more VDR-centric, or "2000 foot" view, bioinformatic approaches can interrogate events downstream of VDR activity...
March 10, 2017: Molecular and Cellular Endocrinology
https://www.readbyqxmd.com/read/28284760/a-peer-review-process-as-part-of-the-implementation-of-clinical-pathways-in-radiation-oncology-does-it-improve-compliance
#10
Brian J Gebhardt, Dwight E Heron, Sushil Beriwal
PURPOSE: Clinical pathways are patient management plans that standardize evidence-based practices to ensure high-quality and cost-effective medical care. Implementation of a pathway is a collaborative process in our network, requiring the active involvement of physicians. This approach promotes acceptance of pathway recommendations, although a peer review process is necessary to ensure compliance and to capture and approve off-pathway selections. We investigated the peer review process and factors associated with time to completion of peer review...
January 19, 2017: Practical Radiation Oncology
https://www.readbyqxmd.com/read/28283057/super-enhancer-mediated-rna-processing-revealed-by-integrative-microrna-network-analysis
#11
Hiroshi I Suzuki, Richard A Young, Phillip A Sharp
Super-enhancers are an emerging subclass of regulatory regions controlling cell identity and disease genes. However, their biological function and impact on miRNA networks are unclear. Here, we report that super-enhancers drive the biogenesis of master miRNAs crucial for cell identity by enhancing both transcription and Drosha/DGCR8-mediated primary miRNA (pri-miRNA) processing. Super-enhancers, together with broad H3K4me3 domains, shape a tissue-specific and evolutionarily conserved atlas of miRNA expression and function...
March 9, 2017: Cell
https://www.readbyqxmd.com/read/28281307/integrated-expression-analysis-identifies-transcription-networks-in-mouse-and-human-gastric-neoplasia
#12
Zheng Chen, Mohammed Soutto, Bushra Rahman, Muhammad W Fazili, DunFa Peng, Maria Blanca Piazuelo, Heidi Chen, M Kay Washington, Yu Shyr, Wael El-Rifai
Gastric cancer is a leading cause of cancer-related deaths worldwide. The Tff1 knockout (KO) mouse model develops gastric lesions that include low-grade dysplasia (LGD), high-grade dysplasia (HGD), and adenocarcinomas. In this study, we used Affymetrix microarrays gene expression platforms for analysis of molecular signatures in the mouse stomach (Tff1-KO (LGD) and Tff1 wild-type (normal)) and human gastric cancer tissues and their adjacent normal tissue samples. Combined integrated bioinformatics analysis of mouse and human datasets indicated that 172 genes were consistently deregulated in both human gastric cancer samples and Tff1-KO LGD lesions (P<0...
March 9, 2017: Genes, Chromosomes & Cancer
https://www.readbyqxmd.com/read/28280730/cancer-related-triplets-of-mrna-lncrna-mirna-revealed-by-integrative-network-in-uterine-corpus-endometrial-carcinoma
#13
Chenglin Liu, Yu-Hang Zhang, Qinfang Deng, Yixue Li, Tao Huang, Songwen Zhou, Yu-Dong Cai
The regulation of transcriptome expression level is a complex process involving multiple-level interactions among molecules such as protein coding RNA (mRNA), long noncoding RNA (lncRNA), and microRNA (miRNA), which are essential for the transcriptome stability and maintenance and regulation of body homeostasis. The availability of multilevel expression data enables a comprehensive view of the regulatory network. In this study, we analyzed the coding and noncoding gene expression profiles of 301 patients with uterine corpus endometrial carcinoma (UCEC)...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28276702/integrating-the-upr-mt-into-the-mitochondrial-maintenance-network
#14
Christopher J Fiorese, Cole M Haynes
Mitochondrial function is central to many different processes in the cell, from oxidative phosphorylation to the synthesis of iron-sulfur clusters. Therefore, mitochondrial dysfunction underlies a diverse array of diseases, from neurodegenerative diseases to cancer. Stress can be communicated to the cytosol and nucleus from the mitochondria through many different signals, and in response the cell can effect everything from transcriptional to post-transcriptional responses to protect the mitochondrial network...
February 22, 2017: Critical Reviews in Biochemistry and Molecular Biology
https://www.readbyqxmd.com/read/28275608/design-and-implementation-of-the-retinoblastoma-collaborative-laboratory
#15
Seemi Qaiser, Alice Limo, Josiah Gichana, Kahaki Kimani, Jessie Githanga, Wairimu Waweru, Elizabeth A O Dimba, Helen Dimaras
PURPOSE: The purpose of this work was to describe the design and implementation of a digital pathology laboratory, the Retinoblastoma Collaborative Laboratory (RbCoLab) in Kenya. METHOD: The RbCoLab is a central lab in Nairobi that receives retinoblastoma specimens from all over Kenya. Specimens were processed using evidence-based standard operating procedures. Images were produced by a digital scanner, and pathology reports were disseminated online. RESULTS: The lab implemented standard operating procedures aimed at improving the accuracy, completeness, and timeliness of pathology reports, enhancing the care of Kenyan retinoblastoma patients...
January 2017: Ocular Oncology and Pathology
https://www.readbyqxmd.com/read/28270600/diverse-regulation-of-mammary-epithelial-growth-and-branching-morphogenesis-through-noncanonical-wnt-signaling
#16
Kai Kessenbrock, Prestina Smith, Sander Christiaan Steenbeek, Nicholas Pervolarakis, Raj Kumar, Yasuhiro Minami, Andrei Goga, Lindsay Hinck, Zena Werb
The mammary gland consists of an adipose tissue that, in a process called branching morphogenesis, is invaded by a ductal epithelial network comprising basal and luminal epithelial cells. Stem and progenitor cells drive mammary growth, and their proliferation is regulated by multiple extracellular cues. One of the key regulatory pathways for these cells is the β-catenin-dependent, canonical wingless-type MMTV integration site family (WNT) signaling pathway; however, the role of noncanonical WNT signaling within the mammary stem/progenitor system remains elusive...
March 7, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28268260/impact-of-genetic-variations-and-transcriptional-alterations-of-hla-class-i-genes-on-cervical-cancer-pathogenesis
#17
Damayanti Das Ghosh, Indranil Mukhopadhyay, Amrapali Bhattacharya, Rahul Roy Chowdhury, Nidhu Ranjan Mandal, Sudipta Roy, Sharmila Sengupta
In a novel attempt to understand the variations in DNA sequences underlying HLA class I alleles associated with HPV16-related CaCx, we determined the alleles by reconstructing SNP-based haplotypes from resequencing of the most polymorphic exons 2 and 3 of HLA-A, HLA-B and HLA-C. We also determined the impact of SNPs and transcriptional alterations of the genes on CaCx. A high density of SNPs was identified from resequencing. HLA expression was determined by real-time PCR. We identified that even a single associated HLA allele had many underlying SNP-based haplotypes...
March 7, 2017: International Journal of Cancer. Journal International du Cancer
https://www.readbyqxmd.com/read/28266596/bioinformatics-analysis-of-the-proteins-interacting-with-lasp-1-and-their-association-with-hbv-related-hepatocellular-carcinoma
#18
Fan-Yun Kong, Ting Zhu, Nan Li, Yun-Fei Cai, Kai Zhou, Xiao Wei, Yan-Bo Kou, Hong-Juan You, Kui-Yang Zheng, Ren-Xian Tang
LIM and SH3 domain protein (LASP-1) is responsible for the development of several types of human cancers via the interaction with other proteins; however, the precise biological functions of proteins interacting with LASP-1 are not fully clarified. Although the role of LASP-1 in hepatocarcinogenesis has been reported, the implication of LASP-1 interactors in HBV-related hepatocellular carcinoma (HCC) is not clearly evaluated. We obtained information regarding LASP-1 interactors from public databases and published studies...
March 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28266149/iodne-an-integrated-optimization-method-for-identifying-the-deregulated-subnetwork-for-precision-medicine-in-cancer
#19
S Mounika Inavolu, J Renbarger, M Radovich, V Vasudevaraja, G H Kinnebrew, S Zhang, L Cheng
Subnetwork analysis can explore complex patterns of entire molecular pathways for the purpose of drug target identification. In this article, the gene expression profiles of a cohort of patients with breast cancer are integrated with protein-protein interaction (PPI) networks using, simultaneously, both edge scoring and node scoring. A novel optimization algorithm, integrated optimization method to identify deregulated subnetwork (IODNE), is developed to search for the optimal dysregulated subnetwork of the merged gene and protein network...
March 2017: CPT: Pharmacometrics & Systems Pharmacology
https://www.readbyqxmd.com/read/28260099/identification-of-prognostic-genes-in-kidney-renal-clear-cell-carcinoma-by-rna%C3%A2-seq-data-analysis
#20
Yanqin Gu, Linfeng Lu, Lingfeng Wu, Hao Chen, Wei Zhu, Yi He
The present study aimed to analyze RNA-seq data of kidney renal clear cell carcinoma (KIRC) to identify prognostic genes. RNA‑seq data were downloaded from The Cancer Genome Atlas. Feature genes with a coefficient of variation (CV) >0.5 were selected using the genefilter package in R. Gene co‑expression networks were constructed with the WGCNA package. Cox regression analysis was performed using the survive package. Furthermore, a functional enrichment analysis was conducted using Database for Annotation, Visualization and Integrated Discovery tools...
February 13, 2017: Molecular Medicine Reports
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