Results 131 to 140 of about 656,371 (370)

Integrative analysis of circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients: a comprehensive approach

Molecular Oncology, EarlyView.
This study simultaneously investigated circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients. The elevated expression of JUNB and CXCR4 in CTCs was a poor prognostic factor for SCLC patients, whereas exosomal overexpression of these biomarkers revealed a high discrimination ability of patients from healthy individuals,
Dimitrios Papakonstantinou, Argyro Roumeliotou, Evangelia Pantazaka, Athanasios‐Nasir Shaukat, Athina Christopoulou, Angelos Koutras, Foteinos‐Ioannis Dimitrakopoulos, Vassilis Georgoulias, Anastasia Xagara, Evangelia Chantzara, Fillipos Koinis, Athanasios Kotsakis, Constantinos Stathopoulos, Galatea Kallergi   +13 more
wiley   +1 more source

STANDARDIZATION OF FLOW CYTOMETRIC MINIMAL RESIDUAL DISEASE MONITORING IN CHILDREN WITH B-CELL PRECURSOR ACUTE LYMPHOBLASTIC LEUKEMIA. RUSSIA–BELARUS MULTICENTER GROUP EXPERIENCE

Онкогематология, 2017
We developed and implemented in multicenter setting the standardized approach for flow cytometric minimal residual disease (MRD) monitoring in childhood B-cell precursor acute lymphoblastic leukemia (BCP-ALL).
A. M. Popov, M. V. Belevtsev, E. V. Boyakova, T. Yu. Verzhbitskaya, L. V. Movchan, M. S. Fadeeva, А. B. Pashchenko, V. P. Savitskiy, А. A. Levadnyy, G. А. Tsaur, S. A. Kashpor, S. A. Plyasunova, L. G. Fechina, O. V. Aleynikova, A. I. Karachunskiy   +14 more
doaj   +1 more source

Genotyping cell-free tumor DNA in the blood to detect residual disease and drug resistance. [PDF]

, 2014
DNA fragments released from cancer cells into the blood can be used to generate molecular profiles of tumors. Non-invasive 'liquid biopsies' can be used to monitor minimal residual disease and detect the emergence of drug ...
Bardelli, Alberto, Siravegna, Giulia
core   +1 more source

Biomechanical modelling of brain atrophy through deep learning [PDF]

arXiv, 2020
We present a proof-of-concept, deep learning (DL) based, differentiable biomechanical model of realistic brain deformations. Using prescribed maps of local atrophy and growth as input, the network learns to deform images according to a Neo-Hookean model of tissue deformation.
arxiv  

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Development of real-time quantitative polymerase chain reaction assays to track treatment response in retinoid resistant acute promyelocytic leukemia

Frontiers in Oncology, 2011
Molecular detection of minimal residual disease (MRD) has become established to assess remission status and guide therapy in patients with PML-RARA+ acute promyelocytic leukemia (APL).
Jelena V Jovanovic, Kristian eRennie, Dominic eCulligan, Andrew ePeniket, Anne eLennard, Justin eHarrison, Paresh eVyas, Paresh eVyas, David eGrimwade   +8 more
doaj   +1 more source

Role of STAT3 in Transformation and Drug Resistance in CML [PDF]

, 2012
Chronic myeloid leukemia (CML) is initially driven by the bcr–abl fusion oncoprotein. The identification of bcr–abl led to the discovery and rapid translation into the clinic of bcr–abl kinase inhibitors.
Hazlehurst, Lori A., Nair, Rajesh R., Tolentino, Joel H.   +2 more
core   +3 more sources

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

MINIMAL RESIDUAL DISEASE ASSESMENT IN PATIENTS WITH ACUTE MYELOID LEUKEMIA BY MULTICOLOUR FLOW CYTOMETRY (LITERATURE REVIEW)

Онкогематология, 2018
Patients with acute myeloid leukemia (AML) have a high risk of relapse. Determination of the presence of residual tumor cells during the remission of AML allows predicting the onset of relapse.
T. I. Lobanova, I. V. Galtseva, E. N. Parovichnikova   +2 more
doaj   +1 more source

Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways [PDF]

arXiv, 2019
Neurodegenerative diseases are characterized as the progressive loss of neural cells, e.g. neurons, glial cells. Ageing, monogenic variations, viral infections, and many other factors are determined and speculated as causes for them. While many individual genes, such as APP for Alzheimer disease and HTT for Huntington disease, and biological pathways ...
arxiv