A hybrid deep forest-based method for predicting synergistic drug combinations DOI Creative Commons
Lianlian Wu, Jie Gao, Yixin Zhang

et al.

Cell Reports Methods, Journal Year: 2023, Volume and Issue: 3(2), P. 100411 - 100411

Published: Feb. 1, 2023

Combination therapy is a promising approach in treating multiple complex diseases. However, the large search space of available drug combinations exacerbates challenge for experimental screening. To predict synergistic different cancer cell lines, we propose an improved deep forest-based method, ForSyn, and design two forest types embedded ForSyn. ForSyn handles imbalanced high-dimensional data medium-/small-scale datasets, which are inherent characteristics combination datasets. Compared with 12 state-of-the-art methods, ranks first on four metrics eight datasets feature combinations. We conduct systematic analysis to identify most appropriate configuration parameters. validate predictive value cell-based experiments several previously unexplored Finally, importance performed top contributing features extracted by The resulting key genes may play roles corresponding cancers.

Language: Английский

Smart nanoparticles for cancer therapy DOI Creative Commons
Leming Sun, Hongmei Liu, Yanqi Ye

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2023, Volume and Issue: 8(1)

Published: Nov. 3, 2023

Abstract Smart nanoparticles, which can respond to biological cues or be guided by them, are emerging as a promising drug delivery platform for precise cancer treatment. The field of oncology, nanotechnology, and biomedicine has witnessed rapid progress, leading innovative developments in smart nanoparticles safer more effective therapy. In this review, we will highlight recent advancements including polymeric dendrimers, micelles, liposomes, protein cell membrane mesoporous silica gold iron oxide quantum dots, carbon nanotubes, black phosphorus, MOF others. We focus on their classification, structures, synthesis, intelligent features. These possess the ability various external internal stimuli, such enzymes, pH, temperature, optics, magnetism, making them systems. Additionally, review explore latest studies tumor targeting functionalizing surfaces with tumor-specific ligands like antibodies, peptides, transferrin, folic acid. also summarize different types options, small molecules, proteins, nucleic acids, even living cells, potential use While is promising, acknowledge challenges clinical prospects associated use. Finally, propose blueprint that involves artificial intelligence-powered treatment applications. By harnessing aims usher new era personalized therapy, providing patients individualized options.

Language: Английский

Citations

375

Rational combinations of targeted cancer therapies: background, advances and challenges DOI
Haojie Jin, Liqin Wang, René Bernards

et al.

Nature Reviews Drug Discovery, Journal Year: 2022, Volume and Issue: 22(3), P. 213 - 234

Published: Dec. 12, 2022

Language: Английский

Citations

249

Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses DOI
Kun Peng, Yue Zheng, Wei Xia

et al.

Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(8), P. 2790 - 2832

Published: Jan. 1, 2023

Organometallics act through specific biomolecular targets or tumor homeostasis perturbation to induce various cell death pathways.

Language: Английский

Citations

97

Pharmaco-proteogenomic characterization of liver cancer organoids for precision oncology DOI
Shuyi Ji, Feng Li, Zile Fu

et al.

Science Translational Medicine, Journal Year: 2023, Volume and Issue: 15(706)

Published: July 26, 2023

Organoid models have the potential to recapitulate biological and pharmacotypic features of parental tumors. Nevertheless, integrative pharmaco-proteogenomics analysis for drug response biomarker investigation precision therapy patients with liver cancer are still lacking. We established a patient-derived organoid biobank (LICOB) that comprehensively represents histological molecular characteristics various types as determined by multiomics profiling, including genomic, epigenomic, transcriptomic, proteomic analysis. Proteogenomic profiling LICOB identified proliferative metabolic subtypes linked patient prognosis. High-throughput screening revealed distinct patterns each subtype were associated specific signatures. Through analyses data, we responses predicted combinations personalized treatment. The synergistic inhibition effect mTOR inhibitor temsirolimus multitargeted tyrosine kinase lenvatinib was validated in organoids xenografts models. also provide user-friendly web portal help serve biomedical research community. Our study is rich resource biology pharmacological dependencies may enable functional medicine.

Language: Английский

Citations

62

The CDK inhibitor AT7519 inhibits human glioblastoma cell growth by inducing apoptosis, pyroptosis and cell cycle arrest DOI Creative Commons
Wenpeng Zhao, Liang Zhang, Yaya Zhang

et al.

Cell Death and Disease, Journal Year: 2023, Volume and Issue: 14(1)

Published: Jan. 9, 2023

Glioblastoma multiforme (GBM) is the most lethal primary brain tumor with a poor median survival of less than 15 months. However, clinical strategies and effective therapies are limited. Here, we found that second-generation small molecule multi-CDK inhibitor AT7519 potential drug for GBM treatment according to high-throughput screening via Approved Drug Library Clinical Compound (2718 compounds). We significantly inhibited cell viability proliferation U87MG, U251, patient-derived cells in dose-dependent manner. Furthermore, also phosphorylation CDK1/2 arrested cycle at G1-S G2-M phases. More importantly, induced intrinsic apoptosis pyroptosis caspase-3-mediated cleavage gasdermin E (GSDME). In glioblastoma intracranial subcutaneous xenograft assays, volume was reduced after AT7519. summary, induces death through multiple pathways inhibits growth, indicating chemical available treatment.

Language: Английский

Citations

46

Exosome camouflaged coordination-assembled Iridium(III) photosensitizers for apoptosis-autophagy-ferroptosis induced combination therapy against melanoma DOI
Tao Feng, Zixin Tang, Johannes Karges

et al.

Biomaterials, Journal Year: 2023, Volume and Issue: 301, P. 122212 - 122212

Published: June 24, 2023

Language: Английский

Citations

46

Targeted Therapeutic Strategies for the Treatment of Cancer DOI Open Access

Benjamin Victoir,

Cécile Croix,

Fabrice Gouilleux

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(2), P. 461 - 461

Published: Jan. 22, 2024

Extensive research is underway to develop new therapeutic strategies counteract therapy resistance in cancers. This review presents various achieve this objective. First, we discuss different vectorization platforms capable of releasing drugs cancer cells. Second, delve into multitarget therapies using drug combinations and dual anticancer agents. section will describe examples that have been used treat solid tumors.

Language: Английский

Citations

23

COX 2-inhibitors; a thorough and updated survey into combinational therapies in cancers DOI
Paul Rodrigues,

Harun Bangali,

Ahmad Hammoud

et al.

Medical Oncology, Journal Year: 2024, Volume and Issue: 41(1)

Published: Jan. 2, 2024

Language: Английский

Citations

19

Patient-derived mini-colons enable long-term modeling of tumor–microenvironment complexity DOI
L. Francisco Lorenzo‐Martín, Nicolas Broguière, J Langer

et al.

Nature Biotechnology, Journal Year: 2024, Volume and Issue: unknown

Published: July 2, 2024

Language: Английский

Citations

17

Molecular principles underlying aggressive cancers DOI Creative Commons
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2025, Volume and Issue: 10(1)

Published: Feb. 16, 2025

Language: Английский

Citations

3