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https://www.readbyqxmd.com/read/29678669/using-big-data-in-oncology-to-prospectively-impact-clinical-patient-care-a-proof-of-concept-study
#1
Vérène Dougoud-Chauvin, Jae Jin Lee, Edgardo Santos, Vonetta L Williams, Nicolò M L Battisti, Kavita Ghia, Marina Sehovic, Cortlin Croft, Jongphil Kim, Lodovico Balducci, Julie A Kish, Martine Extermann
OBJECTIVE: Big Data is widely seen as a major opportunity for progress in the practice of personalized medicine, attracting the attention from medical societies and presidential teams alike as it offers a unique opportunity to enlarge the base of evidence, especially for older patients underrepresented in clinical trials. This study prospectively assessed the real-time availability of clinical cases in the Health & Research Informatics Total Cancer Care™ (TCC) database matching community patients with cancer, and the impact of such a consultation on treatment...
April 17, 2018: Journal of Geriatric Oncology
https://www.readbyqxmd.com/read/29676944/integration-of-clinical-variables-for-the-prediction-of-late-distant-recurrence-in-patients-with-estrogen-receptor-positive-breast-cancer-treated-with-5-years-of-endocrine-therapy-cts5
#2
Mitch Dowsett, Ivana Sestak, Meredith M Regan, Andrew Dodson, Giuseppe Viale, Beat Thürlimann, Marco Colleoni, Jack Cuzick
Purpose Estimating risk of late distant recurrence (DR) is an important goal for managing women with hormone receptor-positive breast cancer after 5 years of endocrine treatment without recurrence. We developed and validated a simple clinicopathologic tool (Clinical Treatment Score post-5 years [CTS5]) to estimate residual risk of DR after 5 years of endocrine treatment. Patients and Methods The ATAC (Arimidex, Tamoxifen, Alone or in Combination) data set (N = 4,735) was used to create a prognostic score for post-5-year risk of DR...
April 20, 2018: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/29670897/searching-for-clinically-relevant-biomarkers-in-geriatric-oncology
#3
REVIEW
Theodora Katsila, George P Patrinos, Dimitrios Kardamakis
Ageing, which is associated with a progressive decline and functional deterioration in multiple organ systems, is highly heterogeneous, both inter- and intraindividually. For this, tailored-made theranostics and optimum patient stratification become fundamental, when decision-making in elderly patients is considered. In particular, when cancer incidence and cancer-related mortality and morbidity are taken into account, elderly patient care is a public health concern. In this review, we focus on oncogeriatrics and highlight current opportunities and challenges with an emphasis on the unmet need of clinically relevant biomarkers in elderly cancer patients...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29670613/innate-immunity-in-the-persistent-inflammation-immunosuppression-and-catabolism-syndrome-and-its-implications-for-therapy
#4
REVIEW
Hiroyuki Horiguchi, Tyler J Loftus, Russell B Hawkins, Steven L Raymond, Julie A Stortz, McKenzie K Hollen, Brett P Weiss, Elizabeth S Miller, Azra Bihorac, Shawn D Larson, Alicia M Mohr, Scott C Brakenridge, Hironori Tsujimoto, Hideki Ueno, Frederick A Moore, Lyle L Moldawer, Philip A Efron
Clinical and technological advances promoting early hemorrhage control and physiologic resuscitation as well as early diagnosis and optimal treatment of sepsis have significantly decreased in-hospital mortality for many critically ill patient populations. However, a substantial proportion of severe trauma and sepsis survivors will develop protracted organ dysfunction termed chronic critical illness (CCI), defined as ≥14 days requiring intensive care unit (ICU) resources with ongoing organ dysfunction...
2018: Frontiers in Immunology
https://www.readbyqxmd.com/read/29666059/vision-for-nci-outlined-by-new-director
#5
(no author information available yet)
Speaking at the American Association for Cancer Research Annual Meeting 2018, Norman "Ned" Sharpless, MD, the new director of the NCI, outlined his vision for the agency and spoke about four areas on which he'd like to focus its efforts: workforce training and development, basic science, "big data," and clinical trials.
April 17, 2018: Cancer Discovery
https://www.readbyqxmd.com/read/29656985/in-silico-analysis-of-the-potential-mechanism-of-telocinobufagin-on-breast-cancer-mcf-7-cells
#6
Yi-Wu Dang, Peng Lin, Li-Min Liu, Rong-Quan He, Li-Jie Zhang, Zhi-Gang Peng, Xiao-Jiao Li, Gang Chen
BACKGROUNDS AND AIMS: The extractives from a ChanSu, traditional Chinese medicine, have been discovered to possess anti-inflammatory and tumor-suppressing abilities. However, the molecular mechanism of telocinobufagin, a compound extracted from ChanSu, on breast cancer cells has not been clarified. The aim of this study is to investigate the underlying mechanism of telocinobufagin on breast cancer cells. METHODS AND MATERIALS: The differentially expressed genes after telocinobufagin treatment on breast cancer cells were searched and downloaded from Gene Expression Omnibus (GEO), ArrayExpress and literatures...
April 5, 2018: Pathology, Research and Practice
https://www.readbyqxmd.com/read/29656880/fundamentals-of-functional-imaging-ii-emerging-mr-techniques-and-new-methods-of-analysis
#7
A Luna, T Martín Noguerol, L Alcalá Mata
Current multiparameter MRI protocols integrate structural, physiological, and metabolic information about cancer. Emerging techniques such as arterial spin-labeling (ASL), blood oxygen level dependent (BOLD), MR elastography, chemical exchange saturation transfer (CEST), and hyperpolarization provide new information and will likely be integrated into daily clinical practice in the near future. Furthermore, there is great interest in the study of tumor heterogeneity as a prognostic factor and in relation to resistance to treatment, and this interest is leading to the application of new methods of analysis of multiparametric protocols...
April 12, 2018: Radiología
https://www.readbyqxmd.com/read/29652594/tissue-engineering-and-regenerative-medicine-2017-a-year-in-review
#8
Kyung Min Park, Young Min Shin, Kyobum Kim, Heungsoo Shin
In 2017, a new paradigm change caused by artificial intelligence and big data analysis resulted in innovation in each field of science and technology, and also significantly influenced progress in tissue engineering and regenerative medicine (TERM). TERM has continued to make technological advances based on interdisciplinary approaches and has contributed to the overall field of biomedical technology including cancer biology, personalized medicine, development biology, and cell-based therapeutics. While researchers are aware that there is still a long way to go until TERM reaches the ultimate goal of patient treatment through clinical translation, the rapid progress in convergence studies led by technological improvements in TERM has been encouraging...
March 13, 2018: Tissue Engineering. Part B, Reviews
https://www.readbyqxmd.com/read/29650322/decision-based-on-big-data-research-for-non-small-cell-lung-cancer-in-medical-artificial-system-in-developing-country
#9
Jia Wu, Yanlin Tan, Zhigang Chen, Ming Zhao
Non-small cell lung cancer (NSCLC) is a high risk cancer and is usually scanned by PET-CT for testing, predicting and then give the treatment methods. However, in the actual hospital system, at least 640 images must be generated for each patient through PET-CT scanning. Especially in developing countries, a huge number of patients in NSCLC are attended by doctors. Artificial system can predict and make decision rapidly. According to explore and research artificial medical system, the selection of artificial observations also can result in low work efficiency for doctors...
June 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29642836/robust-volcano-plot-identification-of-differential-metabolites-in-the-presence-of-outliers
#10
Nishith Kumar, Md Aminul Hoque, Masahiro Sugimoto
BACKGROUND: The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses. Metabolomics datasets often contain outliers because of analytical, experimental, and biological ambiguity, but the currently available differential metabolite identification techniques are sensitive to outliers. RESULTS: We propose a kernel weight based outlier-robust volcano plot for identifying differential metabolites from noisy metabolomics datasets...
April 11, 2018: BMC Bioinformatics
https://www.readbyqxmd.com/read/29611034/finding-cancer-driver-mutations-in-the-era-of-big-data-research
#11
REVIEW
Rebecca C Poulos, Jason W H Wong
In the last decade, the costs of genome sequencing have decreased considerably. The commencement of large-scale cancer sequencing projects has enabled cancer genomics to join the big data revolution. One of the challenges still facing cancer genomics research is determining which are the driver mutations in an individual cancer, as these contribute only a small subset of the overall mutation profile of a tumour. Focusing primarily on somatic single nucleotide mutations in this review, we consider both coding and non-coding driver mutations, and discuss how such mutations might be identified from cancer sequencing datasets...
April 2, 2018: Biophysical Reviews
https://www.readbyqxmd.com/read/29606536/the-rise-of-big-data-in-oncology
#12
REVIEW
Kristen L Fessele
OBJECTIVES: To describe big data and data science in the context of oncology nursing care. DATA SOURCES: Peer-reviewed and lay publications. CONCLUSION: The rapid expansion of real-world evidence from sources such as the electronic health record, genomic sequencing, administrative claims and other data sources has outstripped the ability of clinicians and researchers to manually review and analyze it. To promote high-quality, high-value cancer care, big data platforms must be constructed from standardized data sources to support extraction of meaningful, comparable insights...
March 29, 2018: Seminars in Oncology Nursing
https://www.readbyqxmd.com/read/29594204/infrastructure-and-distributed-learning-methodology-for-privacy-preserving-multi-centric-rapid-learning-health-care-eurocat
#13
Timo M Deist, A Jochems, Johan van Soest, Georgi Nalbantov, Cary Oberije, Seán Walsh, Michael Eble, Paul Bulens, Philippe Coucke, Wim Dries, Andre Dekker, Philippe Lambin
Machine learning applications for personalized medicine are highly dependent on access to sufficient data. For personalized radiation oncology, datasets representing the variation in the entire cancer patient population need to be acquired and used to learn prediction models. Ethical and legal boundaries to ensure data privacy hamper collaboration between research institutes. We hypothesize that data sharing is possible without identifiable patient data leaving the radiation clinics and that building machine learning applications on distributed datasets is feasible...
June 2017: Clinical and Translational Radiation Oncology
https://www.readbyqxmd.com/read/29580204/anti-egfr-targeted-therapy-delivered-before-versus-during-radiotherapy-in-locoregionally-advanced-nasopharyngeal-carcinoma-a-big-data-intelligence-platform-based-analysis
#14
Hao Peng, Ling-Long Tang, Xu Liu, Lei Chen, Wen-Fei Li, Yan-Ping Mao, Yuan Zhang, Li-Zhi Liu, Li Tian, Ying Guo, Ying Sun, Jun Ma
BACKGROUND: Little is known about the prognostic difference of anti-EGFR therapy, cetuximab (CTX) or nimotuzumab (NTZ), concurrently with induction chemotherapy (IC, investigational arm) or RT (control arm) for patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC). We conducted this retrospective study to address this. METHODS: We identified 296 patients with newly diagnosed LA-NPC at Sun Yat-Sen University Cancer Center between January 2012 and May 2015...
March 27, 2018: BMC Cancer
https://www.readbyqxmd.com/read/29572028/back-to-the-future-the-integration-of-big-data-with-machine-learning-is-re-establishing-the-importance-of-predictive-correlations-in-ovarian-cancer-diagnostics-and-therapeutics
#15
EDITORIAL
https://www.readbyqxmd.com/read/29545183/cxcl5-promotes-mitomycin-c-resistance-in-non-muscle-invasive-bladder-cancer-by-activating-emt-and-nf-%C3%AE%C2%BAb-pathway
#16
Chanjuan Wang, Aiwei Li, Shuo Yang, Rui Qiao, Xi Zhu, Jie Zhang
The emergence of chemoresistance greatly increases the recurrence risk for non-muscle invasive bladder cancer (NMIBC) patients, which is still a big concern of clinicians. Understanding the mechanisms of drug resistance is of great significance for preventing and reversing it. We showed here that CXC motif chemokine ligand 5 (CXCL5) was overexpressed in mitomycin C-resistant bladder cancer cell line M-RT4. Meanwhile, parental RT4 cell treated with recombinant human CXCL5 (rhCXCL5) reduced its sensitivity to mitomycin C...
March 12, 2018: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/29544162/adjuvant-zoledronic-acid-reduces-fractures-in-breast-cancer-patients-an-azure-big-01-04-study
#17
C Wilson, R Bell, S Hinsley, H Marshall, J Brown, D Cameron, D Dodwell, R Coleman
The fracture impact of adjuvant bisphosphonates in breast cancer is not defined with most trials reporting changes in bone mineral density as a surrogate. The AZURE trial (ISRCTN79831382) evaluated the impact of adjuvant zoledronic acid (ZOL) on fractures. The AZURE trial is an academic, multi-centre, randomised phase III study evaluating the addition of ZOL 4 mg to standard therapy (neo/adjuvant chemotherapy and/or endocrine therapy) for 5 years (administered by intravenous (iv) infusion every 3-4 weeks for 6 doses, then 3 monthly × 8 and 6 monthly × 5) in patients with stage II/III early breast cancer...
March 12, 2018: European Journal of Cancer
https://www.readbyqxmd.com/read/29521818/leveraging-data-the-next-big-advance-for-quality-improvement-in-colorectal-cancer
#18
George J Chang
No abstract text is available yet for this article.
April 2018: Diseases of the Colon and Rectum
https://www.readbyqxmd.com/read/29502365/-molecular-origins-of-cancer-and-future-cancer-therapy
#19
L Xie, W J Hu, B R Liu
The accumulation of genomic and epigenetic changes gives rise to the tumorigenesis and progression. Currently, clonal evolution model and cancer stem cell model, two leading theories of caner origin, are becoming complementary to one another to explain the nature of tumor heterogeneity. Precision medicine that is based on the next generation sequencing and big data describes the phenomena of tumor heterogeneity more precisely. The future cancer therapy may need more comprehensive and dynamical understandings of the distinct subclones of tumor and follow the trends of cancer evolution...
February 23, 2018: Zhonghua Zhong Liu za Zhi [Chinese Journal of Oncology]
https://www.readbyqxmd.com/read/29485126/investigating-the-genetic-and-epigenetic-basis-of-big-biological-questions-with-the-parthenogenetic-marbled-crayfish-a-review-and-perspectives
#20
Gunter Vogt
In the last 15 years, considerable attempts have been undertaken to develop the obligately parthenogenetic marbled crayfish Procambarus virginalis as a new model in biology. Its main advantage is the production of large numbers of offspring that are genetically identical to the mother, making this crustacean particularly suitable for research in epigenetics. Now, a draft genome, transcriptome and genome-wide methylome are available opening new windows for research. In this article, I summarize the biological advantages and genomic and epigenetic features of marbled crayfish and, based on first promising data, discuss what this new model could contribute to answering of ''big'' biological questions...
March 2018: Journal of Biosciences
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