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https://www.readbyqxmd.com/read/27910903/prostate-cancer-patients-negative-biopsy-controls-discrimination-by-untargeted-metabolomics-analysis-of-urine-by-lc-qtof-upstream-information-on-other-omics
#1
M A Fernández-Peralbo, E Gómez-Gómez, M Calderón-Santiago, J Carrasco-Valiente, J Ruiz-García, M J Requena-Tapia, M D Luque de Castro, F Priego-Capote
The existing clinical biomarkers for prostate cancer (PCa) diagnosis are far from ideal (e.g., the prostate specific antigen (PSA) serum level suffers from lack of specificity, providing frequent false positives leading to over-diagnosis). A key step in the search for minimum invasive tests to complement or replace PSA should be supported on the changes experienced by the biochemical pathways in PCa patients as compared to negative biopsy control individuals. In this research a comprehensive global analysis by LC-QTOF was applied to urine from 62 patients with a clinically significant PCa and 42 healthy individuals, both groups confirmed by biopsy...
December 2, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27903834/saliva-diagnostics-current-views-and-directions
#2
Karolina Elżbieta Kaczor-Urbanowicz, Carmen Martin Carreras-Presas, Katri Aro, Michael Tu, Franklin Garcia-Godoy, David Tw Wong
In this review, we provide an update on the current and future applications of saliva for diagnostic purposes. There are many advantages of using saliva as a biofluid. Its collection is fast, easy, inexpensive, and non-invasive. In addition, saliva, as a "mirror of the body," can reflect the physiological and pathological state of the body. Therefore, it serves as a diagnostic and monitoring tool in many fields of science such as medicine, dentistry, and pharmacotherapy. Introduced in 2008, the term "Salivaomics" aimed to highlight the rapid development of knowledge about various "omics" constituents of saliva, including: proteome, transcriptome, micro-RNA, metabolome, and microbiome...
November 29, 2016: Experimental Biology and Medicine
https://www.readbyqxmd.com/read/27899048/the-method-for-breast-cancer-grade-prediction-and-pathway-analysis-based-on-improved-multiple-kernel-learning
#3
Tianci Song, Yan Wang, Wei Du, Sha Cao, Yuan Tian, Yanchun Liang
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer grade can markedly elevate the detection of early breast cancer and efficiently guide its treatment. With the advent of high-throughput profiling technology, a large number of data of different types are rapidly generated, and each data provides its unique biological insight...
November 29, 2016: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/27897002/a-methylation-to-expression-feature-model-for-generating-accurate-prognostic-risk-scores-and-identifying-disease-targets-in-clear-cell-kidney-cancer
#4
Jeffrey A Thompson, Carmen J Marsit
Many researchers now have available multiple high-dimensional molecular and clinical datasets when studying a disease. As we enter this multi-omic era of data analysis, new approaches that combine different levels of data (e.g. at the genomic and epigenomic levels) are required to fully capitalize on this opportunity. In this work, we outline a new approach to multi-omic data integration, which combines molecular and clinical predictors as part of a single analysis to create a prognostic risk score for clear cell renal cell carcinoma...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896993/frequent-subgraph-mining-of-personalized-signaling-pathway-networks-groups-patients-with-frequently-dysregulated-disease-pathways-and-predicts-prognosis
#5
Arda Durmaz, Tim A D Henderson, Douglas Brubaker, Gurkan Bebek
MOTIVATION: Large scale genomics studies have generated comprehensive molecular characterization of numerous cancer types. Subtypes for many tumor types have been established; however, these classifications are based on molecular characteristics of a small gene sets with limited power to detect dysregulation at the patient level. We hypothesize that frequent graph mining of pathways to gather pathways functionally relevant to tumors can characterize tumor types and provide opportunities for personalized therapies...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896277/prediction-of-bacillus-calmette-guerin-response-in-patients-with-bladder-cancer-after-transurethral-resection-of-bladder-tumor-by-using-genetic-variation-based-on-genomic-studies
#6
REVIEW
Ning Zhang, Guangliang Jiang, Xu Liu, Rong Na, Xiang Wang, Jianfeng Xu
Purpose. We aimed to comprehensively review contemporary literature on genetic and epigenetic biomarkers associated with the prediction of Bacillus Calmette-Guerin (BCG) response after the transurethral resection of a bladder tumor and to discuss the application of these biomarkers in precision cancer care for bladder cancer. Method. We performed a systematic review of published literatures in the databases PubMed and Embase by using the following key words: bladder cancer, BCG, gene, and methylation. Studies associated with cell lines, animal models, and muscle invasive bladder cancer were excluded...
2016: BioMed Research International
https://www.readbyqxmd.com/read/27895661/the-genome-conformation-as-an-integrator-of-multi-omic-data-the-example-of-damage-spreading-in-cancer
#7
Fabio Tordini, Marco Aldinucci, Luciano Milanesi, Pietro Liò, Ivan Merelli
Publicly available multi-omic databases, in particular if associated with medical annotations, are rich resources with the potential to lead a rapid transition from high-throughput molecular biology experiments to better clinical outcomes for patients. In this work, we propose a model for multi-omic data integration (i.e., genetic variations, gene expression, genome conformation, and epigenetic patterns), which exploits a multi-layer network approach to analyse, visualize, and obtain insights from such biological information, in order to use achieved results at a macroscopic level...
2016: Frontiers in Genetics
https://www.readbyqxmd.com/read/27873078/advances-in-decoding-breast-cancer-brain-metastasis
#8
Chenyu Zhang, Dihua Yu
The past decade has witnessed impressive advances in cancer treatment ushered in by targeted and immunotherapies. However, with significantly prolonged survival, upon recurrence, more patients become inflicted by brain metastasis, which is mostly refractory to all currently available therapeutic regimens. Historically, brain metastasis is an understudied area in cancer research, partly due to the dearth of appropriate experimental models that closely simulate the special biological features of metastasis in the unique brain environment and to the sophistication of techniques required to perform in-depth studies of the extremely complex and challenging brain metastasis...
November 21, 2016: Cancer Metastasis Reviews
https://www.readbyqxmd.com/read/27873024/p4%C3%A2-medicine-and-osteoporosis-a%C3%A2-systematic-review
#9
REVIEW
Klemen Kodrič, Klemen Čamernik, Darko Černe, Radko Komadina, Janja Marc
BACKGROUND: Osteoporosis is the most frequent bone metabolic disease. In order to improve early detection, prediction, prevention, diagnosis, and treatment of the disease, a new model of P4 medicine (personalized, predictive, preventive, and participatory medicine) could be applied. The aim of this work was to systematically review the publications of four different types of "omics" studies related to osteoporosis, in order to discover novel predictive, preventive, diagnostic, and therapeutic targets for better management of the geriatric population...
November 21, 2016: Wiener Klinische Wochenschrift
https://www.readbyqxmd.com/read/27870555/initiative-for-standardization-of-reporting-genetics-of-male-infertility
#10
Eva Traven, Ana Ogrinc, Tanja Kunej
The number of publications on research of male infertility is increasing. Technologies used in research of male infertility generate complex results and various types of data that need to be appropriately managed, arranged, and made available to other researchers for further use. In our previous study, we collected over 800 candidate loci for male fertility in seven mammalian species. However, the continuation of the work towards a comprehensive database of candidate genes associated with different types of idiopathic human male infertility is challenging due to fragmented information, obtained from a variety of technologies and various omics approaches...
November 21, 2016: Systems Biology in Reproductive Medicine
https://www.readbyqxmd.com/read/27865462/molecular-changes-associated-with-tumor-initiation-and-progression-of-soft-tissue-sarcomas-targeting-the-genome-and-epigenome
#11
P W Halcrow, M Dancer, M Panteah, C Walden, J E Ohm
Soft tissue sarcomas are rare, but generally aggressive tumors which disproportionately affect children and young adults. They represent less than 10% of all cancers, but are one of the most frequently diagnosed cancers in pediatric patients. These cancers have a high rate of morbidity and mortality, and their overall incidence has been increasing at an estimated rate of 26% over the last 2 decades. The cause of this increased incidence is unknown but various environmental factors have been implicated. Establishing standard therapeutic strategies is challenging for soft tissue sarcomas as more than 50 different histological subtypes exist, each with their own molecular alterations and clinical characteristics, and this combination of tumor heterogeneity and a limited number of clinical cases make detailed omics level molecular studies particularly challenging...
2016: Progress in Molecular Biology and Translational Science
https://www.readbyqxmd.com/read/27864353/identification-of-clinically-predictive-metagenes-that-encode-components-of-a-network-coupling-cell-shape-to-transcription-by-image-omics
#12
Heba Z Sailem, Chris Bakal
The associations between clinical phenotypes (tumour grade, survival), and cell phenotypes, such as shape, signalling activity, and gene expression, are the basis for cancer pathology; but the mechanisms explaining these relationships are not always clear. The generation of large datasets containing information regarding cell phenotypes, and clinical data, provides an opportunity to describe these mechanisms. Here we develop an image-omics approach to integrate quantitative cell imaging data, gene expression, and protein-protein interaction data to systematically describe a 'shape-gene network' that couples specific aspects of breast cancer cell shape to signalling and transcriptional events...
November 18, 2016: Genome Research
https://www.readbyqxmd.com/read/27861902/the-molecular-basis-of-breast-cancer-pathological-phenotypes
#13
Yujing J Heng, Susan C Lester, Gary M K Tse, Rachel E Factor, Kimberly H Allison, Laura C Collins, Yunn-Yi Chen, Kristin C Jensen, Nicole B Johnson, Jong Cheol Jeong, Rahi Punjabi, Sandra J Shin, Kamaljeet Singh, Gregor Krings, David A Eberhard, Puay Hoon Tan, Konstanty Korski, Frederic M Waldman, David A Gutman, Melinda Sanders, Jorge S Reis-Filho, Sydney R Flanagan, Deena M A Gendoo, Gregory M Chen, Benjamin Haibe-Kains, Giovanni Ciriello, Katherine A Hoadley, Charles M Perou, Andrew H Beck
The histopathological evaluation of morphological features in breast tumours provides prognostic information to guide therapy. Adjunct molecular analyses provide further diagnostic, prognostic and predictive information. However, there is limited knowledge of the molecular basis of morphological phenotypes in invasive breast cancer. This study integrated genomic, transcriptomic and protein data to provide a comprehensive molecular profiling of morphological features in breast cancer. Fifteen pathologists assessed 850 invasive breast cancer cases from The Cancer Genome Atlas (TCGA)...
November 14, 2016: Journal of Pathology
https://www.readbyqxmd.com/read/27857124/neuroinflammation-using-big-data-to-inform-clinical-practice
#14
REVIEW
Calliope A Dendrou, Gil McVean, Lars Fugger
Neuroinflammation is emerging as a central process in many neurological conditions, either as a causative factor or as a secondary response to nervous system insult. Understanding the causes and consequences of neuroinflammation could, therefore, provide insight that is needed to improve therapeutic interventions across many diseases. However, the complexity of the pathways involved necessitates the use of high-throughput approaches to extensively interrogate the process, and appropriate strategies to translate the data generated into clinical benefit...
November 18, 2016: Nature Reviews. Neurology
https://www.readbyqxmd.com/read/27855993/cognitive-omics-pattern-based-validation-of-potential-drug-targets
#15
REVIEW
István Gyertyán
Despite the abundance of cognitive enhancer mechanisms identified in basic research, drugs approved for cognitive disorders are scarce and of limited efficacy. Although the so-called 'gold-standard' animal assays are well suited to the study of fundamental learning processes, they fail to predict clinical efficacy against complex and robust cognitive defects. Preclinical validation of potential drug targets requires new approaches with higher translational value. Here I propose a rodent cognitive test system that encompasses several learning paradigms each modeling a certain human cognitive domain...
November 14, 2016: Trends in Pharmacological Sciences
https://www.readbyqxmd.com/read/27852038/transcriptomic-metabolomic-reprogramming-in-egfr-mutant-nsclc-early-adaptive-drug-escape-linking-tgf%C3%AE-2-bioenergetics-mitochondrial-priming
#16
Praveena S Thiagarajan, Xiaoliang Wu, Wei Zhang, Ivy Shi, Rakesh Bagai, Patrick Leahy, Yan Feng, Martina Veigl, Daniel Lindner, David Danielpour, Lihong Yin, Rafael Rosell, Trever G Bivona, Zhenfeng Zhang, Patrick C Ma
The impact of EGFR-mutant NSCLC precision therapy is limited by acquired resistance despite initial excellent response. Classic studies of EGFR-mutant clinical resistance to precision therapy were based on tumor rebiopsies late during clinical tumor progression on therapy. Here, we characterized a novel non-mutational early adaptive drug-escape in EGFR-mutant lung tumor cells only days after therapy initiation, that is MET-independent. The drug-escape cell states were analyzed by integrated transcriptomic and metabolomics profiling uncovering a central role for autocrine TGFβ2 in mediating cellular plasticity through profound cellular adaptive Omics reprogramming, with common mechanistic link to prosurvival mitochondrial priming...
November 11, 2016: Oncotarget
https://www.readbyqxmd.com/read/27849439/liver-proteome-in-diabetes-type-1-rat-model-insulin-dependent-and-independent-changes
#17
Camila Pereira Braga, Cory H T Boone, Ryan A Grove, Dana Adamcova, Ana Angélica Henrique Fernandes, Jiri Adamec, Pedro de Magalhães Padilha
Diabetes mellitus type 1 (DM1) is a major public health problem that continues to burden the healthcare systems worldwide, costing exponentially more as the epidemic grows. Innovative strategies and omics system diagnostics for earlier diagnosis or prognostication of DM1 are essential to prevent secondary complications and alleviate the associated economic burden. In a preclinical study design that involved streptozotocin (STZ)-induced DM1, insulin-treated STZ-induced DM1, and control rats, we characterized the insulin-dependent and -independent changes in protein profiles in liver samples...
November 16, 2016: Omics: a Journal of Integrative Biology
https://www.readbyqxmd.com/read/27834921/functional-components-of-carob-fruit-linking-the-chemical-and-biological-space
#18
REVIEW
Vlasios Goulas, Evgenios Stylos, Maria V Chatziathanasiadou, Thomas Mavromoustakos, Andreas G Tzakos
The contribution of natural products to the drug-discovery pipeline has been remarkable since they have served as a rich source for drug development and discovery. Natural products have adapted, during the course of evolution, optimum chemical scaffolds against a wide variety of diseases, including cancer and diabetes. Advances in high-throughput screening assays, assisted by the continuous development on the instrumentation's capabilities and omics, have resulted in charting a large chemical and biological space of drug-like compounds, originating from natural sources...
November 10, 2016: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/27834300/the-surmetagit-study-design-and-rationale-for-a-prospective-pan-omics-examination-of-the-gastrointestinal-response-to-roux-en-y-gastric-bypass-surgery
#19
Priscila Sala, Giliane Belarmino, Natasha Mendonça Machado, Camila Siqueira Cardinelli, Karina Al Assal, Mariane Marques Silva, Danielle Cristina Fonseca, Robson Kiyoshi Ishida, Marco Aurélio Santo, Eduardo Guimarães Hourneaux de Moura, Paulo Sakai, Ismael Francisco Mota Siqueira Guarda, Ismael Dale Cotrim Guerreiro da Silva, Agatha Sacramento Rodrigues, Carlos Alberto de Bragança Pereira, Steven Heymsfield, Joel Doré, Raquel Susana Matos de Miranda Torrinhas, Daniel Giannella-Neto, Dan Linetzky Waitzberg
OBJECTIVE: To describe the protocol of the SURgically induced Metabolic effects on the Human GastroIntestinal Tract (SURMetaGIT) study, a clinical pan-omics study exploring the gastrointestinal tract as a central organ driving remission of type 2 diabetes mellitus (T2DM) after Roux-en-Y gastric bypass (RYGB). The main points considered in the study's design and challenges faced in its application are detailed. METHODS: This observational, longitudinal, prospective study involved collection of gastrointestinal biopsy specimens, faeces, urine, and blood from 25 obese women with T2DM who were candidates for RYGB (20 patients for omics assessment and 5 for omics validation)...
November 10, 2016: Journal of International Medical Research
https://www.readbyqxmd.com/read/27833560/pharmacometabolomics-informs-viromics-toward-precision-medicine
#20
Angeliki Balasopoulou, George P Patrinos, Theodora Katsila
Nowadays, we are experiencing the big data era with the emerging challenge of single data interpretation. Although the advent of high-throughput technologies as well as chemo- and bio-informatics tools presents pan-omics data as the way forward to precision medicine, personalized health care and tailored-made therapeutics can be only envisaged when interindividual variability in response to/toxicity of xenobiotics can be interpreted and thus, predicted. We know that such variability is the net outcome of genetics (host and microbiota) and environmental factors (diet, lifestyle, polypharmacy, and microbiota) and for this, tremendous efforts have been made to clarify key-molecules from correlation to causality to clinical significance...
2016: Frontiers in Pharmacology
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