Results 71 to 80 of about 914,661 (291)

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

In Vivo Renal Clearance, Biodistribution, Toxicity of Gold nanoclusters

, 2012
Gold nanoparticles have shown great prospective in cancer diagnosis and therapy, but they can not be metabolized and prefer to accumulate in liver and spleen due to their large size.
Fan, Fei-Yue, Fan, Sai-Jun, Liu, Pei-Xun, Shen, Xiu, Wu, Di, Zhang, Xiao-Dong   +5 more
core   +1 more source

Retrospective Evaluation of Clinical Experience With Intravenous Ascorbic Acid in Patients With Cancer. [PDF]

, 2018
BACKGROUND: Intravenous ascorbic acid (IV AA) has been used extensively in cancer patients throughout the United States. Currently, there are limited data on the safety and clinical effects of IV AA.
Bazzan, Anthony J., Monti, Daniel A., Newberg, Andrew B., Wintering, Nancy, Zabrecky, George   +4 more
core   +2 more sources

Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA

Molecular Oncology, EarlyView.
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson, Anders Lade Nielsen, Boe Sandahl Sorensen   +2 more
wiley   +1 more source

Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis

Renal Failure
Background Chronic Kidney Disease (CKD) has emerged as a significant global health issue. This study aimed to reveal and predict the epidemiological characteristics of CKD.Methods Data from the Global Burden of Disease Study spanning the years 1990 to ...
Boqing Dong, Yuting Zhao, Jiale Wang, Cuinan Lu, Zuhan Chen, Ruiyang Ma, Huanjing Bi, Jingwen Wang, Ying Wang, Xiaoming Ding, Yang Li   +10 more
doaj   +1 more source

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

Molecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad, Mahmood Hachim, Tom Bertin, Karolina Penderecka, Rifat Hamoudi, Saif Khan, Rui Henrique, Natalie Bergmoser, Manit Arya, Kalle Sipila, Matteo Vietri Rudan, Asif Muneer, Aamir Ahmed   +12 more
wiley   +1 more source

Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI

, 2019
Purpose: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted magnetic resonance imaging (DW-MRI) data and evaluates its performance ...
Barbieri, Sebastiano, Gurney-Champion, Oliver J., Klaassen, Remy, Thoeny, Harriet C.   +3 more
core   +1 more source

Managing toxicities associated with immune checkpoint inhibitors: consensus recommendations from the Society for Immunotherapy of Cancer (SITC) Toxicity Management Working Group. [PDF]

, 2017
Cancer immunotherapy has transformed the treatment of cancer. However, increasing use of immune-based therapies, including the widely used class of agents known as immune checkpoint inhibitors, has exposed a discrete group of immune-related adverse ...
Abdallah, K., Anderson, J., Andrews, S., Arrindell, D., Ballesteros, J., Bingham, C. O., Boyer, J., Brogdon, C., Chen, D., Chonzi, D., Cotarla, I., Cunha, R., Dadu, R., Davies, M., Dawson, M., Diab, A., Dicker, Adam, Eifler, L., Ernstoff, M. S., Ferguson, A., Ferlini, C., Frankel, S., Go, W., Gochett, C., Goldberg, J., Goncalves, P., Goswami, T., Gregory, N., Gulley, J. L., Hamad, L., Hayreh, V., Helie, N., Holmes, W., Hsu, J. Y., Ibrahim, R., Kaufman, H. L., Kim, S., Lacouture, M. E., Lambotte, O., Larocca, C., LeBoeuf, N. R., Lehman, K., Lenihan, D., Ley-Acosta, S., Luke, J., McClure, J., Michelon, E., Nakamura, M., Onofrei, C., Patel, K., Piperdi, B., Puzanov, I., Rasheed, Z., Reshef, D., Riemer, J., Robert, C., Sarkeshik, M., Saylors, A., Schreiber, J., Shafer-Weaver, K., Shannon, V., Sharfman, W., Sharma, R., Sharon, E., Sherry, R., Silk, A. W., Simonson, C., Skondra, D., Suarez-Almazor, M. E., Thomas, C., Thompson, J. A., Trehu, E., Tresnan, D., Turner, M., Wang, Y., Wariabharaj, D., Waxman, I., Wiley, K., Wood, L., Zhang, L., Zheng, P.   +80 more
core   +2 more sources

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Patients With Kidney Cancer [PDF]

, 2012
To develop a preoperative prognostic model in order to predict recurrence-free survival in patients with nonmetastatic kidney cancer.A multi-institutional data base of 1889 patients who underwent surgical resection between 1987 and 2007 for kidney cancer
B. Soyupak, C. Gogus, E. Karabulut, H. Ozen, L. Turkeri, null null, O. Yaycioglu, S. Eskicorapci, S. Yazici, T. Divrik   +9 more
core   +2 more sources