Results 71 to 80 of about 3,686,577 (308)

How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome

FEBS Letters, EarlyView.
In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini, Freia S. Buus, Benjamin Schuler, Birthe B. Kragelund   +3 more
wiley   +1 more source

Risk determination and prevention of breast cancer [PDF]

, 2014
Breast cancer is an increasing public health problem. Substantial advances have been made in the treatment of breast cancer, but the introduction of methods to predict women at elevated risk and prevent the disease has been less successful.
Howell, Anthony; id_orcid, Anderson, Annie, Key, Timothy, Montserat Garcia-Closas, A. Howell (7638146), Saxton, John, M. N. Harvie (7671182), J. M. Saxton (7638221), Annie S Anderson, Saxton, John M, Robert B Clarke, Michelle N Harvie, Evans, Gareth, Key, Timothy J., M. Garcia-Closas (7638116), Garcia-Closas, Montserat, Andy J. Gescher (7671179), Clarke, Robert; id_orcid, D. G. Evans (7608134), Gescher, Andy J, Stephen W Duffy, Key, Timothy J, Clarke, Robert, Harvie, Michelle N., Harvie, Michelle, Anthony Howell, Anderson, Annie S.; id_orcid, D Gareth Evans, John M Saxton, T. J. Key (7638161), Duffy, Stephen W., Anderson, Annie S, R. B. Clarke (7638080), Andy J Gescher, Clarke, Robert B., Saxton, John M., Duffy, Stephen W, Evans, Gareth; id_orcid, Duffy, Stephen, S. W. Duffy (7638095), Timothy J Key, A. S. Anderson (7638050), Howell, Anthony, Gescher, Andy, Evans, D. Gareth, Gescher, Andy J.   +45 more
core   +2 more sources

Breast Tissue Chemistry Measured In Vivo In Healthy Women Correlate with Breast Density and Breast Cancer Risk

, 2022
BACKGROUND: The relationship of tissue chemistry to breast density and cancer risk has not been documented despite breast density being a known risk factor.
Lloyd, Thomas, Julia Watson, Gorane Santamaría, John Irvine, Irvine, J, Graham Galloway, Mountford, Carolyn, Naude, N, Santamaría, Gorane, Natali Naude, Watson, Julia, Galloway, Graham, Naude, Natali, Mountford, C, Galloway, G, Santamaría, G, Malycha, P, Irvine, John, Malycha, Peter, Bennett, Ian, Peter Malycha, Ian Bennett, Thomas Lloyd, Carolyn Mountford, Watson, J, Bennett, I, Lloyd, T   +26 more
core   +1 more source

Fully Automated Breast Density Segmentation and Classification Using Deep Learning

Diagnostics, 2020
Breast density estimation with visual evaluation is still challenging due to low contrast and significant fluctuations in the mammograms’ fatty tissue background.
Nasibeh Saffari, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Meritxell Arenas, Eleni Mangina, Blas Herrera, Domenec Puig   +7 more
doaj   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Association of Volumetric Breast Density with Clinical and Histopathological Factors in 205 Breast Cancer Patients

대한영상의학회지, 2018
Purpose: To evaluate the association of volumetric breast density with clinicopathological factors in breast cancer patients. Materials and Methods: A total of 205 Korean patients with breast cancer who underwent mammography for initial staging between
Nari Jung, Won Hwa Kim
doaj   +1 more source

Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future

Applied Sciences, 2020
Mining algorithms for Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) of breast tissue are discussed. The algorithms are based on recent advances in multi-dimensional signal processing and aim to advance current state-of-the-art computer ...
Xiao-Xia Yin, Lihua Yin, Sillas Hadjiloucas   +2 more
doaj   +1 more source

Mammographic breast density and breast cancer risk: Evaluation using volumetric breast density software

Journal of Cancer Research and Therapeutics, 2020
The study aimed to assess breast density as a risk factor for breast malignancy using automated volumetric breast density software and to study the relationship of breast density with tumor histopathological characteristics.One hundred and thirty-four women with unilateral core biopsy-proven breast cancer were taken in the "case group." Two hundred and
Suzanne, Koshi, Veenu, Singla, Tulika, Singh, Nidhi, Prabhakar, Amanjit, Bal, Gurpreet, Singh   +5 more
openaire   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Breast cancer susceptibility loci and mammographic density

, 2019
Introduction Recently, the Breast Cancer Association Consortium (BCAC) conducted a multi-stage genome-wide association study and identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer risk.
Tamimi, Rulla M., Hunter, David J., Kraft, Peter, Hankinson, Susan E., Cox, David, Colditz, Graham A.   +5 more
core   +1 more source