Results 161 to 170 of about 1,137,228 (316)

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Frequency of analgesic drugs use and patients' awareness of their possible interactions with antiplatelet therapy in coronary heart disease

, 2017
Izabela Pałasz, Łukasz Reczek, Martyna Schönborn, Sebastian Janiec, Małgorzata Cebeńko   +4 more
openalex   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Assessing the potential for drug interactions

, 2017
Understanding the potential for adverse drug reactions (ADRs), resulting from plant-drug interactions,is a key aspect of medicinal plant safety. The aim of this study was to provide an in-depth assessment of standardised extracts of Hyptis verticillata ...
Picking, D., Porter, R., Delgoda, R., Shah, I., Chambers, B., Barker, J.   +5 more
core  

Spotting Trends in Side Effects and Drug Interactions: Data Visualization Tools Can Supplement Decision Making for Medical Prescribers

, 2018
J. A. Dodson
openalex   +2 more sources

Additional file 2 of DLDTI: a learning-based framework for drug-target interaction identification using neural networks and network representation

, 2020
Yihan Zhao, Kai Zheng, Baoyi Guan, Mengmeng Guo, Lei Song, Jie Gao, Hua Qu, Yuhui Wang, Dazhuo Shi, Ying Zhang   +9 more
openalex   +1 more source

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions [PDF]

, 2021
Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang   +5 more
openalex   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

The Prevalence of Potential Drug-Drug-Gene Interactions: A Descriptive Study Using Swiss Claims Data

Nina L Wittwer,1,2 Christoph R Meier,1– 3 Carola A Huber,4 Julie D Moser,1 Henriette E Meyer zu Schwabedissen,5 Samuel S Allemann,6,* Cornelia Schneider1,2,* 1Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology,
Huber CA, Meier CR, Moser JD, Schneider C, Meyer zu Schwabedissen HE, Allemann SS, Wittwer NL   +6 more
core  

Drug interactions with voriconazole

, 2015
Drug interactions are a potential problem with voriconazole therapy, due to the antifungal's extensive interaction with human cytochrome P450 enzymes and transporters.
VIALE, PIERLUIGI, LEWIS, RUSSEL EDWARD
core