Results 131 to 140 of about 304,509 (373)

Benign Bilateral Adenomyoepithelioma of the Mammary Gland in a Ring-tailed Lemur (Lemur catta) [PDF]

, 2017
Naturally occurring mammary tumours are uncommon in prosimians. A 20-year-old female ring-tailed lemur (Lemur catta) developed bilateral enlargement of the mammary glands.
De Los Monteros, A E, Grau-Bassas, E R, Herráez, P, Priestnall, S L, Quesada-Canales, O, Suárez-Bonnet, A   +5 more
core   +1 more source

The dynamics of DNA methylation covariation patterns in carcinogenesis.

PLoS Computational Biology, 2014
Recently it has been observed that cancer tissue is characterised by an increased variability in DNA methylation patterns. However, how the correlative patterns in genome-wide DNA methylation change during the carcinogenic progress has not yet been ...
Andrew E Teschendorff, Xiaoping Liu, Helena Caren, Steve M Pollard, Stephan Beck, Martin Widschwendter, Luonan Chen   +6 more
doaj   +1 more source

Cellular Automaton Model for Immunology of Tumor Growth [PDF]

arXiv, 1998
The stochastic discrete space-time model of an immune response on tumor spreading in a two-dimensional square lattice has been developed. The immunity-tumor interactions are described at the cellular level and then transferred into the setting of cellular automata (CA).
arxiv  

Fast pH‐Driven Solubilization Method of Realgar (As4S4) to Reduce the Toxicity of Arsenic [As(III)] for Medicinal Purposes

Advanced Science, EarlyView.
Arsenic trioxide transformed acute promyelocytic leukemia therapy and shows promise against HIV. A new method to solubilize the mineral realgar produces different arsenic species depleting the main arsenic target, nuclear PML protein, and retaining effects on leukemic and HIV reservoir cells, while minimizing off‐target damage.
Bojana Lucic, Douglas Santana Franciscato, Helton Pereira Nogueira, Lara Gallucci, Alceu Totti Silveira Junior, Asmaa Mohamed Ismail, Millie Robinson, Teresa Dallinger, Claudia Gutfleisch, Jochen Kurz, Maytê Toledo, Jessica Dias da Silva Ferraz, Mohammad Tarek, Danilo Dias, Ricardo Sobhie Diaz, Mahmoud ElHefnawi, Mattia Forcato, Hugo P Monteiro, Marina Lusic, Iart Luca Shytaj, Andrea Savarino   +20 more
wiley   +1 more source

Diagnostic and prognostic performance of urinary neutrophil gelatinase‐associated lipocalin in patients with cirrhosis and acute kidney injury

Hepatology, EarlyView., 2022
Diagnostic and prognostic ability of urinary NGAL in patients with cirrhosis and AKI. Abstract Background and Aims Acute kidney injury (AKI) commonly occurs in patients with decompensated cirrhosis. Urinary neutrophil gelatinase–associated lipocalin (uNGAL) could help discriminate between different etiologies of AKI.
Carmine Gambino, Salvatore Piano, Matteo Stenico, Marta Tonon, Alessandra Brocca, Valeria Calvino, Simone Incicco, Nicola Zeni, Roberta Gagliardi, Chiara Cosma, Martina Zaninotto, Patrizia Burra, Umberto Cillo, Daniela Basso, Paolo Angeli   +14 more
wiley   +1 more source

Adjoint method for a tumor invasion PDE-constrained optimization problem using FEM [PDF]

arXiv, 2014
In this paper we present a method for estimating unknown parameter that appear on a non-linear reaction-diffusion model of cancer invasion. This model considers that tumor-induced alteration of micro-enviromental pH provides a mechanism for cancer invasion. A coupled system reaction-diffusion describing this model is given by three partial differential
arxiv  

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer

Advanced Science, EarlyView.
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu   +23 more
wiley   +1 more source

TP53 R249S mutation in hepatic organoids captures the predisposing cancer risk

Hepatology, EarlyView., 2022
The systematic approach in elucidating the gain‐of‐function (GOF) roles of TP53 mutations in early liver carcinogenesis. Unique downstream targets of TP53 L3 mutations were identified from chormatin immunoprecipitation sequencing in HCC cell lines, followed by a series of validation assays to substantiate the exclusive transcriptional regulations ...
Yin Kau Lam, Jianqing Yu, Hao Huang, Xiaofan Ding, Alissa M. Wong, Howard H. Leung, Anthony W. Chan, Kelvin K. Ng, Mingjing Xu, Xin Wang, Nathalie Wong   +10 more
wiley   +1 more source

Mechanistic Basis for Nonlinear Dose-Response Relationships for Low-Dose Radiation-Induced Stochastic Effects [PDF]

, 2007
The linear nonthreshold (LNT) model plays a central role in low-dose radiation risk assessment for humans. With the LNT model, any radiation exposure is assumed to increase one\u27s risk of cancer.
Schollnberger, Helmut, Scott, Bobby R., Tesfaigzi, Yohannes, Walker, Dale M., Walker, Vernon   +4 more
core   +1 more source

Adjoint method for a tumor invasion PDE-constrained optimization problem in 2D using Adaptive Finite Element Method [PDF]

arXiv, 2014
In this paper we present a method for estimating unknown parameter that appear in a two dimensional nonlinear reaction-diffusion model of cancer invasion. This model considers that tumor-induced alteration of microenvironmental pH provides a mechanism for cancer invasion.
arxiv