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1.  Associations of CYP2C9 and CYP2C19 pharmacogenetic variation with phenytoin-induced cutaneous adverse drug reactions.LinkIT
Fohner AE, Rettie AE, Thai KK, Ranatunga DK, Lawson BL, Liu VX, Schaefer CA
Clinical and translational science, 2020
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0

2.  Enhanced Characterization of Drug Metabolism and the Influence of the Intestinal Microbiome: a Pharmacokinetic, Microbiome and Untargeted Metabolomics Study.LinkIT
Jarmusch AK, Vrbanac A, Momper JD, Ma JD, Alhaja M, Liyanage M, Knight R, Dorrestein PC, Tsunoda SM
Clinical and translational science, 2020
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0

3.  Effective SNP ranking improves the performance of eQTL mapping.LinkIT
Jeng XJ, Rhyne J, Zhang T, Tzeng JY
Genetic epidemiology Genet. Epidemiol. Effective SNP ranking improves the performance of eQTL mapping. 10.1002/gepi.22293 Genome-wide expression quantitative trait loci (eQTLs) mapping explores the relationship between gene expression and DNA variants, such as single-nucleotide polymorphism (SNPs), to understand genetic basis of human diseases. Due to the large number of genes and SNPs that need to be assessed, current methods for eQTL mapping often suffer from low detection power, especially for identifying trans-eQTLs. In this paper, we propose the idea of performing SNP ranking based on the higher criticism statistic, a summary statistic developed in large-scale signal detection. We illustrate how the HC-based SNP ranking can effectively prioritize eQTL signals over noise, greatly reduce the burden of joint modeling, and improve the power for eQTL mapping. Numerical results in simulation studies demonstrate the superior performance of our method compared to existing methods. The proposed method is also evaluated in HapMap eQTL data analysis and the results are compared to a database of known eQTLs. © 2020 Wiley Periodicals, Inc. Jeng X Jessie XJ http://orcid.org/0000-0002-2182-133X Department of Statistics, North Carolina State University, Raleigh, North Carolina. Rhyne Jacob J Department of Statistics, North Carolina State University, Raleigh, North Carolina. Zhang Teng T Department of Statistics, North Carolina State University, Raleigh, North Carolina. Tzeng Jung-Ying JY Department of Statistics, North Carolina State University, Raleigh, North Carolina. Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina. Department of Statistics, National Cheng-Kung University, Tainan, Taiwan. Division of Biostatistics, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan. eng P01CA142538 National Institute of Health DMS-1811360 National Science Foundation Journal Article 2020 03 26 United States Genet Epidemiol 8411723 0741-0395 IM HC ranking hotspot multivariate response penalized regression trans-eQTL 2019 10 28 2020 02 21 2020 03 11 2020 3 28 6 0 2020 3 28 6 0 2020 3 28 6 0 aheadofprint 32216117 10.1002/gepi.22293 REFERENCES, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>4.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Ethnic Variability in Newborn Metabolic Screening Markers Associated with False-Positive Outcomes.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Peng G, Tang Y, Gandotra N, Enns GM, Cowan TM, Zhao H, Scharfe C<br><font color=gray><i>Journal of inherited metabolic disease, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>5.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Radiomic Features of Primary Rectal Cancers on Baseline T<sub>2</sub> -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Antunes JT, Ofshteyn A, Bera K, Wang EY, Brady JT, Willis JE, Friedman KA, Marderstein EL, Kalady MF, Stein SL, Purysko AS, Paspulati R, Gollamudi J, Madabhushi A, Viswanath SE<br><font color=gray><i>Journal of magnetic resonance imaging : JMRI J Magn Reson Imaging Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study. 10.1002/jmri.27140 Twenty-five percent of rectal adenocarcinoma patients achieve pathologic complete response (pCR) to neoadjuvant chemoradiation and could avoid proctectomy. However, pretreatment clinical or imaging markers are lacking in predicting response to chemoradiation. Radiomic texture features from MRI have recently been associated with therapeutic response in other cancers. To construct a radiomics texture model based on pretreatment MRI for identifying patients who will achieve pCR to neoadjuvant chemoradiation in rectal cancer, including validation across multiple scanners and sites. Retrospective. In all, 104 rectal cancer patients staged with MRI prior to long-course chemoradiation followed by proctectomy; curated from three institutions. 1.5T-3.0T, axial higher resolution T2 -weighted turbo spin echo sequence. Pathologic response was graded on postsurgical specimens. In total, 764 radiomic features were extracted from single-slice sections of rectal tumors on processed pretreatment T2 -weighted MRI. Three feature selection schemes were compared for identifying radiomic texture descriptors associated with pCR via a discovery cohort (one site, N = 60, cross-validation). The top-selected radiomic texture features were used to train and validate a random forest classifier model for pretreatment identification of pCR (two external sites, N = 44). Model performance was evaluated via area under the curve (AUC), accuracy, sensitivity, and specificity. Laws kernel responses and gradient organization features were most associated with pCR (P???0.01); as well as being commonly identified across all feature selection schemes. The radiomics model yielded a discovery AUC of 0.699?±?0.076 and a hold-out validation AUC of 0.712 with 70.5% accuracy (70.0% sensitivity, 70.6% specificity) in identifying pCR. Radiomic texture features were resilient to variations in magnetic field strength as well as being consistent between two different expert annotations. Univariate analysis revealed no significant associations of baseline clinicopathologic or MRI findings with pCR (P = 0.07-0.96). Radiomic texture features from pretreatment MRIs may enable early identification of potential pCR to neoadjuvant chemoradiation, as well as generalize across sites. 3 TECHNICAL EFFICACY STAGE: 2. © 2020 International Society for Magnetic Resonance in Medicine. Antunes Jacob T JT https://orcid.org/0000-0002-5437-5639 Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. Ofshteyn Asya A Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Bera Kaustav K Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. Wang Erik Y EY Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Brady Justin T JT Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Willis Joseph E JE Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Friedman Kenneth A KA Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Marderstein Eric L EL Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio, USA. Kalady Matthew F MF Department of Colorectal Surgery, Cleveland Clinic, Cleveland, Ohio, USA. Stein Sharon L SL Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Purysko Andrei S AS https://orcid.org/0000-0002-6888-0417 Section of Abdominal Imaging and Nuclear Radiology Department, Cleveland Clinic, Cleveland, Ohio, USA. Paspulati Rajmohan R Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Gollamudi Jayakrishna J Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Madabhushi Anant A Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio, USA. Viswanath Satish E SE https://orcid.org/0000-0003-4550-8337 Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. eng Clinical and Translational Science Award Program at Case Western Reserve University 1F31CA216935-01A1 CA NCI NIH HHS United States R01CA202752-01A1 CA NCI NIH HHS United States R01CA208236-01A1 CA NCI NIH HHS United States R01CA216579-01A1 CA NCI NIH HHS United States U01CA239055-01 CA NCI NIH HHS United States U24CA199374-01 CA NCI NIH HHS United States 1C06RR12463-01 RR NCRR NIH HHS United States 1R43EB028736-01 EB NIBIB NIH HHS United States T32EB00750912 EB NIBIB NIH HHS United States Ohio Third Frontier Technology Validation Fund W81XWH-15-1-0558 U.S. Department of Defense W81XWH-16-1-0329 U.S. Department of Defense W81XWH-18-1-0440 U.S. Department of Defense W81XWH-19-1-0668 U.S. Department of Defense IBX004121A VA Merit Review Award Wallace H. Coulter Foundation Journal Article 2020 03 26 United States J Magn Reson Imaging 9105850 1053-1807 IM machine learning pathologic complete response radiomics rectal cancer 2019 07 24 2020 03 03 2020 03 04 2020 3 28 6 0 2020 3 28 6 0 2020 3 28 6 0 aheadofprint 32216127 10.1002/jmri.27140 References, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>6.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Predicting Recovery and Outcome After Pediatric Stroke: Results from the International Pediatric Stroke Study.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Felling RJ, Rafay MF, Bernard TJ, Carpenter JL, Dlamini N, Hassanein SMA, Jordan LC, Noetzel MJ, Rivkin MJ, Shapiro KA, Slim M, de Veber G,<br><font color=gray><i>Annals of neurology, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>7.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Functional analysis of an R311C variant of Ca<sup>2+</sup> -calmodulin dependent protein kinase kinase-2 (CaMKK2) found as a de novo mutation in a patient with bipolar disorder.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Xy Ling N, Langendorf CG, Hoque A, Galic S, Loh K, Kemp BE, Gundlach AL, Oakhill JS, Scott JW<br><font color=gray><i>Bipolar disorders, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>8.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Principles and Applications of Multi-energy CT Report of AAPM Task Group 291.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>McCollough CH, Boedeker K, Cody D, Duan X, Flohr T, Halliburton S, Hsieh J, Layman R, Pelc NJ<br><font color=gray><i>Medical physics, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>9.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>Immunogenic cell death in colon cancer prevention and therapy.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Ruan H, Leibowitz BJ, Zhang L, Yu J<br><font color=gray><i>Molecular carcinogenesis Mol. Carcinog. Immunogenic cell death in colon cancer prevention and therapy. 10.1002/mc.23183 Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide. The colonic mucosa constitutes a critical barrier and a major site of immune regulation. The immune system plays important roles in cancer development and treatment, and immune activation caused by chronic infection or inflammation is well-known to increase cancer risk. During tumor development, neoplastic cells continuously interact with and shape the tumor microenvironment (TME), which becomes progressively immunosuppressive. The clinical success of immune checkpoint blockade therapies is limited to a small set of CRCs with high tumor mutational load and tumor-infiltrating T cells. Induction of immunogenic cell death (ICD), a type of cell death eliciting an immune response, can therefore help break the immunosuppressive TME, engage the innate components, and prime T cell-mediated adaptive immunity for long-term tumor control. In this review, we discuss the current understanding of ICD induced by antineoplastic agents, the influence of driver mutations, and recent developments to harness ICD in colon cancer. Mechanism-guided combinations of ICD-inducing agents with immunotherapy and actionable biomarkers will likely offer more tailored and durable benefits to patients with colon cancer. © 2020 Wiley Periodicals, Inc. Ruan Hang H Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania. Leibowitz Brian J BJ Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania. Zhang Lin L http://orcid.org/0000-0003-0018-3903 UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania. Chemical Biology and Pharmacology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Yu Jian J http://orcid.org/0000-0002-4021-1000 Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania. eng R01CA215481 GF NIH HHS United States R01CA203028 GF NIH HHS United States R01CA217141 GF NIH HHS United States R01CA236271 GF NIH HHS United States R01CA247231 GF NIH HHS United States U19AI068021 GF NIH HHS United States UPMC HCC Journal Article 2020 03 25 United States Mol Carcinog 8811105 0899-1987 IM cancer prevention cancer therapy colon cancer immunogenic cell death 2020 02 05 2020 02 23 2020 3 28 6 0 2020 3 28 6 0 2020 3 28 6 0 aheadofprint 32215970 10.1002/mc.23183 REFERENCES, 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br>10.  <a href=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 class=title>T-Type Ca<sup>2+</sup> Channel Activity Increases in Rat Hippocampal CA1 Region During Kindling Epileptogenesis.</a><a href=http://ubio.org/tools/linkit.php?map%5B%5D=all&link_type=2&url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0><img src=linkit.png border=0 title='LinkIT' alt='LinkIT'></a> <br><span class=j>Aksoz E, Sara Y, Onur R<br><font color=gray><i>Synapse (New York, N.Y.), 2020</i></font><br><font color=#008000>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0<br></font></span><br><br><br><table cellspacing=0 cellpadding=0 align=center><tr valign=bottom><td align=center><img src=p.png border=0></td><td align=center><img src=o_red.png border=0></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=2><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=3><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=4><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=5><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=6><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=7><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=8><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=9><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=10><img src=o_yellow.png border=0></a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=2><img src=rtal.png border=0></a></td></tr><td align=center></td><td align=center>1</td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=2>2</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=3>3</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=4>4</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=5>5</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=6>6</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=7>7</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=8>8</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=9>9</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=10>10</a></td><td align=center><a href=http://ubio.org/portal/index.php?search=C%C3%A1+Song+m%E1%BB%A1&category=l&client=pubmed&startPage=2>»</a></td></tr></table></table></tr></table></td><script src="http://www.google-analytics.com/urchin.js" type="text/javascript"> </script> <script type="text/javascript"> _uacct = "UA-634822-1"; urchinTracker(); </script> </BODY> </HTML>