Results 1 to 10 of about 3,333,664 (120)

The landscape of therapeutic vulnerabilities in EGFR inhibitor osimertinib drug tolerant persister cells

open access: yesnpj Precision Oncology, 2022
Third-generation EGFR tyrosine kinase inhibitors (EGFR-TKIs), including osimertinib, an irreversible EGFR-TKI, are important treatments for non-small cell lung cancer with EGFR-TKI sensitizing or EGFR T790M resistance mutations.
Steven W. Criscione   +19 more
doaj   +1 more source

The role of extracellular vesicles and interleukin-8 in regulating and mediating neutrophil-dependent cancer drug resistance

open access: yesFrontiers in Oncology, 2022
Tumor drug resistance is a multifactorial and heterogenous condition that poses a serious burden in clinical oncology. Given the increasing incidence of resistant tumors, further understanding of the mechanisms that make tumor cells able to escape ...
Mara Zippoli   +8 more
doaj   +1 more source

Antisense oligonucleotide activity in tumour cells is influenced by intracellular LBPA distribution and extracellular vesicle recycling

open access: yesCommunications Biology, 2021
Kapustin et al. investigate the intracellular trafficking of anti-KRAS antisense oligonucleotides. They show that the oligonucleotide AZD4785 is recycled via late endosomes in extracellular vesicles in both cells with poor and good oligo productive ...
Alexander N. Kapustin   +15 more
doaj   +1 more source

Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer

open access: yesNature Communications, 2022
Resistance to EGFR inhibitors presents a major obstacle in treating non-small cell lung cancer. Here, the authors develop a recommender system ranking genes based on trade-offs between diverse types of evidence linking them to potential mechanisms of ...
Anna Gogleva   +14 more
doaj   +1 more source

Impact of DNA damage repair alterations on prostate cancer progression and metastasis

open access: yesFrontiers in Oncology, 2023
Prostate cancer is among the most common diseases worldwide. Despite recent progress with treatments, patients with advanced prostate cancer have poor outcomes and there is a high unmet need in this population.
Natalia Lukashchuk   +6 more
doaj   +1 more source

Tozorakimab (MEDI3506): an anti-IL-33 antibody that inhibits IL-33 signalling via ST2 and RAGE/EGFR to reduce inflammation and epithelial dysfunction

open access: yesScientific Reports, 2023
Interleukin (IL)-33 is a broad-acting alarmin cytokine that can drive inflammatory responses following tissue damage or infection and is a promising target for treatment of inflammatory disease.
Elizabeth England   +24 more
doaj   +1 more source

Selective Janus kinase 1 inhibition resolves inflammation and restores hair growth offering a viable treatment option for alopecia areata

open access: yesSkin Health and Disease, 2023
Background Janus Kinase (JAK) inhibition has recently demonstrated therapeutic efficacy in both restoring hair growth and resolving inflammation in Alopecia Areata (AA).
Johan Mattsson   +19 more
doaj   +1 more source

Selective AKT kinase inhibitor capivasertib in combination with fulvestrant in PTEN-mutant ER-positive metastatic breast cancer

open access: yesnpj Breast Cancer, 2021
Five to ten percent of ER+ metastatic breast cancer (MBC) tumors harbor somatic PTEN mutations. Loss of function of this tumor-suppressor gene defines a highly aggressive, treatment-refractory disease for which new therapies are urgently needed.
Lillian M. Smyth   +26 more
doaj   +1 more source

Molecular optimization by capturing chemist’s intuition using deep neural networks

open access: yesJournal of Cheminformatics, 2021
A main challenge in drug discovery is finding molecules with a desirable balance of multiple properties. Here, we focus on the task of molecular optimization, where the goal is to optimize a given starting molecule towards desirable properties. This task
Jiazhen He   +7 more
doaj   +1 more source

Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification

open access: yesJournal of Cheminformatics, 2023
Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang   +6 more
doaj   +1 more source

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