Results 141 to 150 of about 7,544,041 (411)

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

Malignant ventricular arrhythmias induction by programmed electrical stimulation of the right ventricular outflow tract only during type 1 brugada ECG maximization [PDF]

, 2016
OBJECTIVE: The role of electrophysiology study in Brugada syndrome (BS) sudden cardiac death risk stratification remains controversial and seems to depend on the phenotypic expression of the channelopathy.
ALESSANDRI, Nicola, DE ANGELIS, STEFANO, DEI GIUDICI, ANGELA, NGUYEN, BICH LIEN, SERGIACOMI, ROBERTA, TERSIGNI, FLAVIA, TUFANO, Fabrizio, URCIUOLI, FEDERICA   +7 more
core  

Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. [PDF]

, 2019
BACKGROUND: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear.
Alver, M. (Maris), Amouyel, P. (Philippe), Bakker, S.J.L. (Stephan), Benjamin, E.J. (Emelia J.), Blankenberg, S. (Stefan), Bobak, M. (Martin), Brambilla, P. (Paolo), Brenner, H. (Hermann), Brunner, F.J. (Fabian J), Costanzo, S. (Simona), Dallongeville, J., de Lemos, J.A. (James A), Dobson, A. (Annette), Donfrancesco, C. (Chiara), Drygas, W. (Wojciech), Dullaart, R.P.F. (Robin P.F.), Dörr, M. (Marcus), Eliasson, M. (Mats), Engström, G., Ferrières, J. (Jean), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giles, G. (Graham), Grassi, G. (Guido), Hodge, A. (Allison), Hveem, K. (Kristian), Iacoviello, L. (Licia), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), Jorgensen, T. (Torben), Jousilahti, P. (Pekka), Jääskeläinen, T. (Tuija), JöCkel, K.-H. (Karl-Heinz), Kavousi, M. (Maryam), Kee, F. (F.), Klotsche, J. (Jens), Koenig, W. (Wolfgang), Kontto, J. (Jukka), Kuulasmaa, K. (Kari), Lackner, K.J. (Karl), Landmesser, U. (Ulf), Leistner, D.M. (David M), Linneberg, A. (Allan), Lorenz, T. (Thiess), Lyngbakken, M.N. (Magnus N.), Magliano, D.J., Makarova, N. (Nataliya), Malyutina, S., Mathiesen, E.B. (Ellisiv), Meisinger, C. (Christa), Melander, O. (Olle), Metspalu, A. (Andres), Moitry, M. (Marie), Männistö, S. (Satu), Nauck, M. (Matthias), Niiranen, T. (Teemu), Nikitin, Y., Ojeda, F. (Francisco), Omland, T. (Torbjørn), Pajak, A. (Andrzej), Panagiotakos, D.B. (Demosthenes), Peters, A. (Annette), Pitsavos, C. (Christos), Riserus, U. (Ulf), Salomaa, V. (Veikko), Sans, S. (Susana), Schmidt, B. (Börge), Schöttker, B. (Ben), Shaw, J.E., Shea, S. (Steven), Signorini, S. (Stefano), Simons, L.A. (Leon), Söderberg, S. (Stefan), Tamosiunas, A. (Abdonas), Thorand, B. (Barbara), Tunstall-Pedoe, H. (Hugh), Twerenbold, R. (Raphael), Vasan, R.S. (Ramachandran Srini), Veronesi, G. (Giovanni), Völzke, H. (Henry), Waldeyer, C. (Christoph), Wannamethee, S.G. (Goya), Whincup, P.H. (Peter), Wild, P.S. (Philipp), Wilsgaard, T. (Tom), Woodward, M. (Mark), Zeller, T. (Tanja)   +86 more
core   +10 more sources

Diffuse large B‐cell lymphoma: 2019 update on diagnosis, risk stratification, and treatment

American journal of hematology/oncology, 2019
Diffuse large B‐cell lymphoma (DLBCL) is the most common type of aggressive non‐Hodgkin lymphoma originating from the germinal center, and it represents a heterogeneous group of diseases with variable outcomes that are differentially characterized by ...
Yang Liu, S. Barta
semanticscholar   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Impact of dyslipidemia on cardiovascular risk stratification of hypertensive patients and association of lipid profile with other cardiovascular risk factors: results from the ICEBERG study

Integrated Blood Pressure Control, 2008
Giray Kabakci1, Nevres Koylan2, Baris Ilerigelen3, Omer Kozan4, Kemalettin Buyukozturk2 on behalf of the ICEBERG Investigators1Hacettepe University, Hacettepe School of Medicine, Department of Cardiology, Ankara, Turkey; 2Istanbul University, Istanbul ...
Giray Kabakci, Nevres Koylan, Baris Ilerigelen, Omer Kozan, Kemalettin Buyukozturk on behalf of the ICEBERG Investigators   +4 more
doaj  

Preclinical markers of carotid atherosclerosis and cardiovascular risk assessed by the ESH/ESC scale (2003, 2007, 2009)

Кардиоваскулярная терапия и профилактика, 2011
Aim. To assess the degree of cardiovascular (CV) risk adjustment in patients with low and intermediate risk by the SCORE scale, who were further examined in accordance with the European Society of Hypertension/European Society of Cardiology Guidelines ...
S. Sh. Urazalina, A. N. Rogoza, T. V. Balakhonova, R. P. Myasnikov, T. E. Kolmakova, Yu. A. Karpov, V. V. Kukharchuk, S. A. Boytsov   +7 more
doaj   +1 more source

CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China

Frontiers in Oncology, 2020
ObjectiveThe aim of this study was to compare the accuracy of the Children’s Oncology Group (COG) risk stratification system to the Children’s Hepatic tumor International Collaboration (CHIC) risk stratification system for predicting the prognosis of ...
Junting Huang, Junting Huang, Yang Hu, Yang Hu, Hong Jiang, Yanjie Xu, Yanjie Xu, Suying Lu, Suying Lu, Feifei Sun, Feifei Sun, Jia Zhu, Jia Zhu, Juan Wang, Juan Wang, Xiaofei Sun, Xiaofei Sun, Juncheng Liu, Zijun Zhen, Zijun Zhen, Yizhuo Zhang, Yizhuo Zhang   +21 more
doaj   +1 more source

Genomic Classifier Augments the Role of Pathological Features in Identifying Optimal Candidates for Adjuvant Radiation Therapy in Patients With Prostate Cancer: Development and Internal Validation of a Multivariable Prognostic Model. [PDF]

, 2017
Purpose Despite documented oncologic benefit, use of postoperative adjuvant radiotherapy (aRT) in patients with prostate cancer is still limited in the United States.
Abdollah, Firas, Briganti, Alberto, Dalela, Deepansh, Davicioni, Elai, Den, Robert B., Dicker, Adam P., Freedland, Stephen J., Karnes, R. Jeffrey, Menon, Mani, Ross, Ashley E., Santiago-Jiménez, María, Schaeffer, Edward M., Yousefi, Kasra   +12 more
core   +2 more sources

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source