Results 161 to 170 of about 7,431,159 (264)
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
_M. tuberculosis_ interactome analysis unravels potential pathways to drug resistance [PDF]
, 2008 Drug resistance is a major problem for combating tuberculosis. Lack of understanding of how resistance emerges in bacteria upon drug treatment limits our ability to counter resistance.
Nagasuma Chandra, Karthik Raman
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Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder
Frontiers in Computational NeuroscienceIntroductionPost-Traumatic Stress Disorder (PTSD) is a mental disorder that can develop after experiencing traumatic events. The aim of this work is to explore the role of genes and genetic variations in the development and progression of PTSD ...
Konstantina Skolariki, Panagiotis Vlamos
doaj +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Molecular Oncology, EarlyView.Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
Assessing the potential for drug interactions [PDF]
, 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. +5 more
core
Drug Sensitivity Prediction Using Machine Learning on Integrated COSMIC, DGIdb, and GDSC Data
IEEE AccessAnalyzing the relationship between drug efficacy and sensitivity to mutational profiles is necessary for the effective treatment of complex diseases such as cancer. Particularly, cancerous tissues undergo constant change as a result of ongoing mutations,
Berfu Mergen +4 more
doaj +1 more source
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 +3 more
wiley +1 more source
Türk Biyokimya DergisiUnderstanding drug resistance in cancer is of importance in treatment. Cancer stem cells are main factor for drug resistance. Therefore, the possible gene/gene interactions/proteins were explored in our study using a cancer stem cell-enriched population (
Dere Egemen +3 more
doaj +1 more source
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 +10 more
wiley +1 more source
Dual expression recombinase based (DERB) single vector system for high throughput screening and verification of protein interactions in living cells [PDF]
, 2008 Identification of novel protein interactions and their mediators is fundamental in understanding cellular processes and is necessary for protein-targeted therapy.
Jian-Ping Lu +4 more
core +1 more source