📋 Browse Articles

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
Filtered by: anticancer ✕ clear all
🏷️ Tags (8587 usages)
⚗️ Metals 2487
▸ Metals — Platinum (109)
apoptosis (297)Pt (214)pt (24)ferroptosis (22)oxaliplatin (21)cisplatin (21)pyroptosis (7)necroptosis (6)transcription (6)carboplatin (5)transcription factors (5)transcriptional regulation (5)platinum (4)lead optimization (3)transcription regulation (3)metabolic adaptation (3)pt(ii) complexes (2)transcriptional regulatory interactions (2)ferroptosis induction (2)transcription initiation (2)transcription-coupled repair (2)adaptive binding (2)cellular adaptation (2)post-transcriptional regulation (2)pt(dach)methionine (1)transcription-coupled nucleotide excision repair (tc-ner) (1)triptolide (1)molecular optimization (1)pt(dach)cl4 (1)innate apoptotic immunity (1)pta (1)oligopeptides (1)transcription-coupled ner (1)ferroptosis suppressor protein 1 (fsp1) (1)apoptotic cells (1)platinumbased (1)hptab (1)signaling-transcriptional mechanisms (1)oncogene transcription inhibition (1)pt2 (1)admet optimization (1)receptor (1)pten (1)platinum(ii) (1)chain-of-thought prompt engineering (1)tetrapeptides (1)apoptotic function (1)adaptive immune response (1)gpt-2 (1)platinum drugs (1)ptii complex (1)platinum complexes (1)transcriptomics (1)cell metabolism disruption (1)peptide (1)pt(s,s-dab) (1)pt(r,r-dab) (1)pt3(hptab) (1)estrogen receptor (1)transcriptional addiction (1)transcription stress (1)septicemia (1)optical spectroscopies (1)receptors (1)selective serotonin reuptake inhibitors (ssri) (1)transcription-coupled nucleotide excision repair (1)pt(r,r-dach) (1)chiroptical response (1)diplatinum helicate (1)cyclometalated 1,3-bis(8-quinolyl) phenyl chloroplatinum(ii) (1)transcriptional activity (1)pt1 (1)disrupting a base pair (1)platinum-containing drugs (1)gpt-4 (1)transcriptional stalling (1)transcription inhibition (1)apoptotic (1)eukaryotic transcription (1)base pairing disruption (1)apoptosis-related disorders (1)coordination chemistry is not relevant, but bioinorganic and medicinal chemistry are related concepts (1)chatgpt (1)apoptosis induction (1)platinum(ii)-based (1)transcriptional activation (1)platinum-based compounds (1)inhibition of transcription factors (1)molecular descriptors (1)pt(dach)oxalato (1)polypeptide chains (1)pt(dach)cl2 (1)glp-1 receptor agonists (1)chiroptical applications (1)pt(s,s-dach) (1)cell-penetrating peptides (1)cysteine uptake (1)therapeutic optimization (1)shape description methods (1)transcription blockage (1)antiferroptotic (1)rna transcription (1)electronic absorption (1)cellular adaptation to hypoxia (1)ferroptosis suppressor protein 1 (1)apoptosis evasion (1)phosphopeptide-based kinome analysis (1)anti-apoptotic (1)gpt (1)
▸ Metals — Cobalt (185)
coordination-chemistry (102)Co (64)coordination chemistry (55)colorectal cancer (19)computational biology (7)spectroscopy (7)computational chemistry (6)computational modeling (6)pharmacology (6)co (5)pharmacovigilance (5)cryo-electron microscopy (4)glucose (4)colon cancer (4)metal complexes (4)glycolysis (4)oncology (4)pharmacokinetics (4)conformational change (3)glycocalyx (3)oncometabolite (3)complex i (3)oncosis (3)oncogenesis (2)polypharmacology (2)in-silico (2)plant secondary metabolites (2)computational approaches (2)in silico (2)convolutional neural networks (2)complex iii (2)natural compounds (2)pharmacodynamics (2)mitochondrial complex i (2)aerobic glycolysis (2)oncogene (2)covid-19 (2)microviscosity (1)pharmacometabolomics (1)complex formation (1)redox control (1)fatty alcohols (1)influence on physicochemical properties (1)fluorescence recovery after photobleaching (1)convolutional neural network (1)conditional lethality (1)picolinic acid (1)sars-cov-1 (1)metabolic control (1)pharmacological inhibition (1)pharmacokinetic (1)therapeutic controversy (1)multicolor emission (1)co2 fixation (1)protein complex (1)oncogenes (1)recombination (1)confocal microscopy (1)metal-ligand cooperation (1)cell surface recognition (1)sarcoma (1)network pharmacology (1)covalent interaction (1)escherichia coli (1)cobalamin (1)reversible compartmentalization (1)oncogene promoter regions (1)cellular compartments (1)coulometric karl fischer apparatus (1)combinatorial treatment (1)heme-containing enzymes (1)coimmunoprecipitation assay (1)glycosphingolipids (1)comorbidities (1)glycolytic activity (1)computational metabolomics (1)conformational isomerization (1)constitutive induction (1)confocal imaging (1)alcoholic hepatitis (1)knowledge discovery (1)oncogenic mutation (1)cobaltocene (1)coordination (1)computational approach (1)inorganic compounds (1)toxicology (1)conformational stability (1)connectivity mapping (1)mitochondrial uncoupling protein 2 (1)pharmacokinetic analyses (1)membrane permeability comparison (1)computer models (1)pathological conditions (1)dna condensation (1)4-octyl-itaconate (4-oi) (1)glucose dependence (1)cockayne's syndrome (1)atomic force microscope (1)complex diseases (1)dna conformational distortion (1)computational prediction (1)health economics (1)viscometry (1)conformational transitions (1)anticoagulant (1)glycome (1)oncogenic pathways (1)mitochondrial quality control (1)spin-orbit coupling (1)cytosolic ca21 concentration (1)cobamide (1)glycobiology (1)coimmunoprecipitation (1)dual protein expansion microscopy (1)brightfield microscopy (1)complexes (1)fluorescence recovery after photobleaching (frap) (1)glucose deprivation resistance (1)physicochemical properties (1)cell-like compartments (1)expansion microscopy (1)anticoagulants (1)ascorbic acid (1)oncogenic signaling (1)collective intelligence (1)cordycepin (1)genetic encoding (1)co2 (1)coupled-cluster computations (1)atp-competitive inhibitors (1)non-covalent interaction (1)computational methods (1)conformational states (1)conformational transition (1)electronic health records (1)sars-cov-2 (1)computational models (1)pharmacodynamic (1)text encoder (1)social cognition (1)sensory nerve conduction velocity (1)covalent binding (1)oncogene-mediated cellular transformation (1)fluorescence microscopy (1)glycolysis pathway (1)electronic conductometry (1)conformational landscapes (1)inductively coupled plasma mass spectrometry (1)itaconate (1)co(terpy)2+ (1)nmr spectroscopy (1)computational analysis (1)inductively coupled plasma mass spectrometer (1)coenzyme q10 (1)cell communication (1)colony formation assay (1)physico-chemical mechanisms (1)recognition (1)glycolytic enzymes (1)systems pharmacology (1)atomic force microscopy (1)computational methodologies (1)oncogenic (1)click expansion microscopy (1)glycosylation (1)n-(2-picolyl)salicylimine (1)ewing sarcoma (1)computational study (1)anticoagulation (1)confocal laser scanning microscopy (1)immuno-oncology (1)genome conformation profiling (1)somatic comorbidities (1)uv-vis spectroscopy (1)in silico analysis (1)co-immunoprecipitation (1)caco-2 cell monolayers (1)scoping review (1)conformational switch (1)damage recognition (1)entity recognition (1)energy conversion (1)noncovalent interactions (1)computer analysis (1)
▸ Metals — Iron (60)
▸ Metals — Ruthenium (86)
Ru (41)drug discovery (27)drug-delivery (23)drug resistance (11)prodrug (9)drug-drug interactions (9)drugs (7)adverse drug reactions (7)structural biology (7)drug repurposing (6)drug delivery (5)drug (5)drug development (5)g-quadruplex dna (4)ru (4)protein structure (3)drug interactions (3)structural analysis (3)drug screening (3)drug-target interaction prediction (3)g-quadruplex (3)drug design (3)drug repositioning (2)metallodrugs (2)structural data (2)drug-target interaction (2)serum (1)structure-based virtual screening (1)recruitment (1)hexammineruthenium(iii) (1)drug testing (1)spectrum diagrams (1)drug therapy (1)drug safety monitoring (1)drug sensitivity and resistance testing (1)drug safety assessment (1)structure (1)structural insights (1)adverse drug reaction detection (1)drug sensitization (1)drug target (1)truncations (1)drug-drug interaction prediction (1)protein structure-function relationship (1)pyruvate (1)drug-drug interaction identification (1)phenotypic drug screening (1)spontaneous adverse drug reaction reports (1)structural basis (1)antiviral drug discovery (1)drug tolerance (1)green rust (1)structural modeling (1)small-molecule drugs (1)structural methods (1)drug-nutrient interactions (1)adverse drug events (1)computational drug discovery (1)metal-based drugs (1)structural rearrangement (1)protein structure analysis (1)virus (1)small-molecule oral drugs (1)targeted drug delivery (1)adverse drug reaction (1)chemical drugs (1)doxorubicin (1)drug resistance reduction (1)drug-likeness (1)drug interaction prediction (1)drug target identification (1)macromolecular structure determination (1)resorufin (1)drug interaction analysis (1)drug combinations (1)non-steroidal anti-inflammatory drugs (nsaids) (1)structural bioinformatics (1)structure prediction (1)drug response (1)drug interaction screening (1)ruthenium(ii)-based (1)drug detection (1)structure-function analysis (1)metal-based drug (1)protocellular structures (1)drug interaction identification (1)
▸ Metals — Copper (63)
▸ Metals — Gold (19)
▸ Metals — Iridium (29)
▸ Metals — Others (17)
▸ Metals — Palladium (13)
▸ Metals — Zinc (5)
▸ Metals — Other (17)
🔬 Methods 1116
▸ Methods — Other experimental (213)
synthesis (244)ML (51)docking (23)natural language processing (12)in vitro (7)in vivo (6)morphological profiling (4)literature search (4)benchmarking (4)network analysis (4)image-based profiling (3)biochemical analysis (3)text analysis (3)bibliometric analysis (3)api (2)incites (2)vosviewer (2)experimental (2)theoretical studies (2)high-throughput screening (2)sequence analysis (2)information extraction (2)pubmed (2)cck-8 assay (2)statistics (2)lectin array (2)statistical approach (2)literature review (2)genetic (2)icite (2)lectin microarray (2)semantic search (2)data visualization (1)in vivo studies (1)target-based approaches (1)permeability measurement (1)gene expression profile (1)patch clamp (1)cnns (1)knockout mouse studies (1)cpg island methylator phenotype (1)in vitro models (1)immunoblot (1)bret2 (1)preclinical models (1)graph theory (1)gnns (1)passive rheology (1)nonequilibrium sensitivity analysis (1)ex vivo (1)multilayer network integration (1)inhibition assay (1)go analysis (1)experimental data analysis (1)caspase activity (1)nct (1)esm (1)web of science (1)gene expression microarray (1)uv light exposure (1)text2sql (1)decision-making (1)short tandem repeat profiling (1)in-vitro (1)analytical determination methods (1)perturbation (1)immunospecific antibodies (1)overexpression (1)mechanistic analysis (1)nuclease digestion (1)enzymatic reaction (1)excision assay (1)nuclear magnetic resonance (not explicitly mentioned but implied through study of variants) (1)pampa assay (1)experimental studies (1)null models (1)binding studies (1)clinical analysis (1)semi-supervised learning (1)efficacy analyses (1)supervised learning (1)electric field application (1)mouse model (1)estimates (1)isothermal calorimetry (1)rational design (1)learning to rank (1)gene expression analysis (1)fluorometry (1)octanol-aqueous shake-flask method (1)polypharmacy regimens (1)predictive models (1)xr-seq (1)graph learning (1)human studies (1)in vivo lung perfusion (1)merip-seq (1)uv-detection (1)atp hydrolysis (1)clinical methods (1)data processing (1)glovebox-bound apparatus (1)hoechst 33,258 staining (1)mutational analyses (1)semantic retrieval (1)solid-phase microextraction (1)immunization (1)pathscan array (1)quantitative phase behavior (1)natural bond orbital (nbo) analysis (1)ai (1)immunological analysis (1)cellular assays (1)synthetic biology tools (1)nanotherapeutic approaches (1)splicing regulation profiling (1)genome-wide screening (1)loss-of-function screens (1)histochemical staining (1)resazurin reduction assay (1)stopped-flow ph jump experiments (1)protein language model (1)experimental validation (1)matrix factorization (1)giao method (1)multi-head attention mechanism (1)rnns (1)phase ii trial (1)calorimetry (1)high throughput screening (1)trp emission (1)self-supervised learning (1)chemocentric approach (1)graph-based learning (1)tcga analysis (1)theoretical framework (1)machine-learning algorithms (1)ablation experiments (1)boolean logic (1)guanidine hydrochloride denaturation (1)ic50 index (1)statistical analysis (1)quantification (1)ensemble learning (1)in vitro study (1)relation search (1)relation extraction (1)image segmentation (1)genetic studies (1)genome-wide analysis (1)knockdown (1)ccsd(t) (1)biochemical characterization (1)performance evaluation (1)nbo 3.1 (1)rocplotter (1)mitoplast preparation (1)cryoem (1)entity annotation (1)modeling (1)systems engineering (1)database analysis (1)radiation exposure (1)prognostic tools (1)mouse models (1)nuclear magnetic resonance (1)proximity ligation assays (1)mp2(fc)/6–311 +  + (2d,2p) (1)personalized treatments (1)ncbi e-utilities (1)gradient boosting machines (1)kegg analysis (1)genetic algorithm (1)algorithms (1)experimental design (1)system-level/network analyses (1)visualized analysis (1)aimall (1)radiotherapy (1)laboratory methods (1)displacement assay (1)electrophoretic retardation measurements (1)seahorse platform (1)normoxia (1)mixture modeling (1)high-throughput (1)experimental methods (1)slot blot (1)magnetic tweezers (1)thermal denaturation (1)global genome ner (1)genetic profiling (1)mutation analysis (1)algorithm development (1)modelling (1)cell migration assay (1)methylome profiling (1)biochemical studies (1)patch clamping (1)umbrella review (1)zotero (1)immunoblotting (1)statistical methods (1)cellular models (1)miclip (1)fluorometric assay (1)enzymatic assays (1)genetic analysis (1)photophysical (1)biomedical information retrieval (1)logistic regression (1)in-vivo (1)mutational status analysis (1)
▸ Methods — Computational (31)
▸ Methods — Crystallography / Structure (4)
▸ Methods — Cell biology (21)
▸ Methods — Spectroscopy (19)
▸ Methods — Genomics / Omics (25)
▸ Methods — Mass spec / Chromatography (6)
▸ Methods — Clinical / Epidemiology (8)
▸ Methods — Electrochemistry (5)
▸ Methods — Other (1)
🎯 Targets 980
▸ Targets — Mitochondria (15)
▸ Targets — Other (157)
protein (58)enzyme (19)heme (11)gene expression (10)nucleus (9)genome (5)cardiolipin (5)enzymes (5)are (4)nucleolus (4)genetic variants (4)tfiih (4)lipids (4)signal transduction (4)cytoplasm (4)cellular metabolism (4)cell metabolism (3)cell surface (3)ribosome (3)metalloproteins (3)cells (3)cell (3)fumarate hydratase (2)dihydroorotate dehydrogenase (2)ubiquinone (2)stress response (2)tubulin (2)cytosol (2)polysulfides (2)cytochrome c oxidase (2)xpb (2)aif (2)genes (2)ribosome biogenesis (2)chromophore (1)none (1)substrates (1)clinical notes (1)acsl4 (1)protein phosphatase 2a (1)dpscs (1)albumin (1)tissues (1)trxr (1)substrate (1)platelet aggregation (1)tbk1 (1)metabolic phenotype (1)lab results (1)intracellular ph (1)sqr (1)cellular biochemistry (1)target (1)healthy cells (1)sting (1)gene targets (1)variants (1)three-way junction (1)heme-oxygenase1 (1)ddr1 (1)cajal bodies (1)target genes (1)upr (1)mif (1)heme a3 (1)nucleic acids (1)intracellular substrates (1)hydrogen sulfide (h2s) (1)mt1-mmp (1)gene (1)plasma proteins (1)adenine (1)metabolic signatures (1)nuclear foci (1)mscs (1)caspase cascade (1)p65 (1)dna synthesis (1)ddb2 (1)nuclear factor (1)hmga2 (1)ecm (1)diseases (1)spliceosomal proteins (1)neurons (1)smn protein (1)nadh/nad(p)h (1)rtk clusters (1)reactive species (1)metal (1)translation initiation (1)ligand (1)lipid droplet (1)metabolic enzymes (1)pkcd (1)protein kinases (1)peripheral nervous system (1)stem cells (1)cellular targets (1)metalloenzyme (1)chemical reactions (1)4ebp1 (1)procaspase 3 (1)ump synthase (1)rbx1 (1)literature-based evidence (1)ras (1)metabolic biomarkers (1)guanine (1)metal centers (1)ccr7 (1)cytochrome p450 2e1 (1)cell nucleus (1)lung tissue (1)ph (1)stress granules (1)erythrocytes (1)hexokinase 2 (1)nucleic acid (1)nitrogen species (1)four-way junction (1)nucleolar protein (1)p21 (1)mek1/2 (1)membrane potential (1)polysulfides (h2sn) (1)mek (1)annexin v (1)atp production (1)actin (1)traf5 (1)tme (1)cytoskeleton (1)proteoforms (1)cell cycle (1)p47phox (1)metabolome (1)cellular (1)aldoa (1)oxidants (1)zbp1 (1)cellular machines (1)atp (1)actin filaments (1)disease network (1)lipid damage (1)focal adhesions (1)p97 (1)protein sequence (1)xpc (1)whole cell (1)p38 (1)plectin (1)plasmids (1)propidium iodide (1)nadph oxidase 1 (nox1) (1)hdac enzymes (1)
▸ Targets — Nucleic acids (44)
▸ Targets — Membrane / Transport (15)
▸ Targets — Enzymes / Kinases (18)
▸ Targets — Transcription factors (5)
🦠 Diseases 880
▸ Diseases — Cancer (69)
▸ Diseases — Other (41)
▸ Diseases — Neurodegenerative (18)
▸ Diseases — Inflammatory / Immune (6)
▸ Diseases — Metabolic (5)
▸ Diseases — Cardiovascular (6)
▸ Diseases — Hepatic / Renal (8)
⚙️ Mechanisms 800
▸ Mechanisms — ROS / Redox (65)
▸ Mechanisms — Other (96)
cell cycle arrest (16)enzyme inhibition (12)phosphorylation (5)gene expression regulation (5)cell cycle regulation (4)persulfidation (3)detoxification (3)ligand dissociation (2)sequence variants (2)mechanism of action (2)resistance (2)inactivation (2)invasion inhibition (1)er stress responses (1)hormesis (1)invasiveness (1)epithelial-to-mesenchymal transition inhibition (1)oxygen-dependent metabolism (1)aquation (1)paracellular permeability (1)translation efficiency (1)denaturation (1)sequestration (1)oxidative post-translational modification (1)lipid metabolism (1)duplex unwinding (1)unfolded protein response (1)antioxidation (1)calcium regulation (1)radical formation (1)oxidative damage (1)splicing regulation (1)cell growth arrest (1)protein destabilization (1)multivalent interactions (1)protein phosphatase 2a modulation (1)protein dislocation (1)cell growth suppression (1)proteotoxic stress (1)protein rearrangements (1)p21 translation inhibition (1)gg-ner (1)pseudohypoxia (1)hypoxic response (1)electron shuttle (1)low-barrier hydrogen bond (1)kinase inhibition (1)synthetic lethality (1)stress responses (1)mutagenesis (1)subcellular relocalization (1)weak interactions (1)proton ejection (1)metabolic fuel selection (1)posttranslational modification (1)regulatory interactions (1)proton pumps (1)genetic regulation (1)protein unfolding (1)nucleolar homeostasis (1)ligand switch (1)ribosomopathies (1)oxidation-reduction (1)induced fit (1)localization (1)genetic mutation (1)mode of action (1)nucleolar stress response (1)cell killing capacity (1)ligand exchange (1)bond breaking (1)kinase activation (1)modulation (1)diadduct formation (1)cytoskeleton modulation (1)radical-mediated reaction (1)electron self-exchange (1)protein shuttling (1)pore formation (1)cellular metabolism regulation (1)nuclear export processes (1)ion selectivity (1)cell survival suppression (1)stabilization (1)cell damage (1)mitochondrial bioenergetics (1)gene therapy (1)cytochrome p450 2e1 inhibition (1)oxidative metabolic phenotype (1)phosphorylation regulation (1)aggregation (1)downregulation (1)glutamate exchange (1)acidosis (1)dysregulated gene expression (1)glycan expression (1)
▸ Mechanisms — Signaling (51)
▸ Mechanisms — Immune modulation (21)
▸ Mechanisms — DNA damage / Repair (5)
▸ Mechanisms — Epigenetic (18)
▸ Mechanisms — Cell death (7)
▸ Mechanisms — Protein interaction (14)
▸ Mechanisms — Metabolic rewiring (8)
🔗 Ligands 659
▸ Ligands — N-donor (25)
▸ Ligands — Heterocyclic (9)
▸ Ligands — C-donor / NHC (4)
▸ Ligands — S-donor (14)
▸ Ligands — O-donor (7)
▸ Ligands — Other (8)
▸ Ligands — P-donor (2)
▸ Ligands — Peptide / Protein (4)
▸ Ligands — Macrocyclic (3)
▸ Ligands — Polydentate (5)
🧠 Concepts 612
▸ Concepts — Other biomedical (178)
medicinal chemistry (122)photoactivated (27)cell biology (13)chemotherapy (11)metabolism (10)biochemistry (9)artificial intelligence (7)large language models (7)systems biology (6)information retrieval (5)precision medicine (5)gene regulation (5)data mining (5)chemoprevention (4)cheminformatics (4)therapeutic target (4)mitophagy (4)immunology (4)genetics (4)biomedical research (3)large language model (3)biomedical literature (3)hydrogen bonding (3)post-translational modifications (3)chemotherapy resistance (3)variant interpretation (3)immunometabolism (3)physiology (2)clinical practice (2)evidence extraction (2)biotransformation (2)metabolic regulation (2)physiological relevance (2)chemical biology (2)cell cycle progression (2)immunomodulation (2)biophysics (2)protein modification (2)biopharmaceutics (2)immunity (2)in vitro modeling (2)post-translational modification (2)targeted therapy (2)predictive modeling (2)therapy resistance (2)desiccant efficiency (1)multimodal data integration (1)stereochemistry (1)variant evaluation (1)epithelial-mesenchymal transition (1)metalloprotein (1)genetic screening (1)self-assembly (1)personalized therapy (1)protein function prediction (1)cellular mechanisms (1)protein targeting (1)evidence-based medicine (1)photophysics (1)protein modifications (1)translational research (1)paracellular transport (1)helicase mechanism (1)chemiosmosis (1)polarizability (1)nonequilibrium (1)genotype characterization (1)nuclear shape (1)nutrient dependency (1)metabolic engineering (1)interactome (1)therapies (1)probing (1)multiscale analysis (1)reactive species interactome (1)tissue-specific (1)pharmaceutics (1)knowledge extraction (1)metabolic activities (1)protein function (1)chemical ontology (1)proton delocalization (1)permeability (1)biomarkers (1)prediction tool (1)mechanisms of action (1)protein-ligand binding affinity prediction (1)short hydrogen bonds (1)chemical language models (1)biomedical informatics (1)organelle function (1)microbiome (1)pathogenesis (1)mechanistic framework (1)biosignatures (1)cellular stress response (1)ion-selective electrodes (1)multimodal fusion (1)gasotransmitter (1)carbon metabolism (1)bioengineering (1)ion association (1)enzyme mechanism (1)symmetry breaking (1)micropolarity (1)genome stability (1)scaffold (1)global health (1)clinical implications (1)cellular neurobiology (1)mesh indexing (1)llm (1)therapeutic strategy (1)ner (1)dissipative behavior (1)enzymology (1)pretrained model (1)longevity (1)profiling approaches (1)multimodal information integration (1)therapeutic implications (1)astrobiology (1)protein sequence analysis (1)selective degradation (1)mechanical properties (1)biomedical literature search (1)metabolism regulation (1)extracellular vesicles (1)protein chemistry (1)foundation model (1)data science (1)low-barrier hydrogen bonds (1)variant detection (1)synthetic biology (1)therapeutic innovation (1)therapeutic targeting (1)metabolic dependencies (1)protein data bank (1)cellular biology (1)phenotypic screening (1)immunoengineering (1)database (1)thermochemistry (1)therapeutic approaches (1)medical subject heading (1)network biology (1)inorganic chemistry (1)immunoregulation (1)ageing (1)protein interaction networks (1)hormone mimics (1)therapeutics (1)chemotherapy efficacy (1)metabolite-mediated regulation (1)regulatory landscape (1)chemical informatics (1)mental well-being (1)personalized medicine (1)cell plasticity (1)protein science (1)metabolic therapy (1)cell polarity (1)bioavailability (1)biomedicine (1)cellular stress (1)network medicine (1)energy transduction (1)boron helices (1)nucleolar biology (1)sialic acid (1)organic solvent drying (1)phenotypic analysis (1)in vivo perfusion (1)polypharmacy (1)hyperglycemia (1)phenotypic screens (1)mechanobiology (1)nuclear organization (1)
▸ Concepts — Bioinorganic (7)
▸ Concepts — Thermodynamics / Kinetics (10)
▸ Concepts — Evolution / Origin of life (9)
▸ Concepts — Nanomedicine / Delivery (2)
▸ Concepts — Cancer biology (1)
📦 Other 583
▸ Other (169)
review (375)proteins (11)cytochrome c (10)hydrogen sulfide (5)lactate (3)lipid (3)fumarate (3)kras (3)inhibitors (2)spermidine (2)csa (2)persulfides (2)xtb (2)catalase (2)csb (2)putrescine (2)metalloenzymes (2)mental health (1)carbonate ions (1)antithrombotic agents (1)pik3ca (1)butionine sulfoximine (1)prmt5 (1)uniprotkb (1)tpp-hclo4 (1)brequinar (1)pubtator 3.0 (1)metal salt (1)na-h2tcpp (1)nadhp (1)genotoxic agents (1)modular interaction motifs (1)npm1 protein (1)protons (1)ribosome biogenesis factors (1)nadh (1)ki-67 (1)chemistry (1)phosphatidic acid (1)heat shock proteins (1)l-ohp (1)brain (1)association study (1)ucp2 (1)alkaline phosphatase (1)trex1 (1)insp7 (1)ribosomal proteins (1)chebi (1)platelet aggregation inhibitors (1)artificial metalloenzymes (1)fluorescent probe (1)charge balancing (1)o-nitrophenyl octyl ether (1)dataset (1)resazurin (1)gfp (1)gap junctions (1)vitamin b12 (1)organic solutes (1)garlic oil (1)cationic surfactant (1)ligand charges (1)3-phenylquinazolinones (1)dodecyl-β-d-maltoside (1)r16 (1)bacterial anti-phage systems (1)uvssa (1)protein-templated synthesis (1)2-nitrophenyloctyl ether (1)atovaquone (1)tpp (1)p62 (1)ms023 (1)boron-doped helical systems (1)uv photoproducts (1)triton x-100 (1)tight binding (1)alkylating agents (1)bml284 (1)sodium azide (az) (1)phospholipids (1)mediator (1)snu13 (1)dithiothreitol (dtt) (1)cystine (1)proton pump inhibitors (1)mtt (1)adda 5 (1)rpa (1)ac220 (1)sodium decanoate (1)nad (1)lipophilic ionic additive (1)hdac inhibitor (1)methylene blue (1)greigite (1)sucralose (1)dspe-peg-2000 (1)bpep (1)phospholipid (1)diallyltrisulfide (1)pyrene (1)replication protein a (1)polynucleotide synthesis (1)eloxatine (1)drt (1)plasticity (1)nop56 (1)silicate (1)phosphoinositides (1)intrinsically disordered proteins (1)metoprolol (1)box c/d rnp (1)nop1 (1)dmf (1)diuretics (1)atp analogue (1)ribonuclease inhibitors (1)ligand properties (1)monoclonal antibodies (1)adp•bef3 (1)organic carbon (1)folfox-6 (1)desiccants (1)nadph (1)physical activity (1)minoxidil (1)hydrogel (1)st101 (1)pyrazino[2,3-d]pyridazine (1)tight-binding (1)rhea (1)cytochrome oxidase (1)astrocytes (1)decanol (1)elof1 (1)extended tight-binding (1)nucleophosmin (1)nsc49l (1)entinostat (1)insp6 (1)gsk-3β (1)mannosides (1)prmt1 inhibitor (1)lcs-1 (1)sleep quality (1)arginine (1)pp-insps (1)oligonucleotides (1)organic solvents (1)networks (1)bora[7]helicene (1)bardoxolone (1)insp8 (1)pluronic f-127 (1)probes (1)npm1 (1)pvc (1)heart aging (1)therapeutic agents (1)thapsigargin (1)brivudine (1)charge-balancing workflow (1)diborahelicate (1)folfox (1)pyp (1)tfiie (1)dpep (1)
🧬 Activities 402
▸ Activities — Catalytic / Sensing (15)
▸ Activities — Other biological (110)
inhibition (6)regulation (5)chemoresistance (5)therapeutic (4)oxidation (4)cell survival (4)cell growth (3)prediction (3)chemopreventive (2)target identification (2)phagocytosis (2)analysis (2)carcinogenesis (2)degradation (2)adr detection (2)treatment (2)cell viability (2)vesicle formation (2)cellular response (2)weight loss (2)therapy (2)survival (2)immunomodulatory (2)binding (2)neurotoxicity (2)photodynamic therapy (2)emission (1)incidence (1)protein degradation (1)protein expression (1)ribonuclease activity (1)therapeutic advances (1)protein interaction analysis (1)detection (1)protection (1)sulfide oxidase (1)model training (1)medication (1)diagnostic (1)toxicity (1)enzyme activity (1)transformation (1)physiological function (1)nitrification (1)data extraction (1)postmarketing surveillance (1)explanation (1)neuroprotection (1)functional regulators (1)prognosis (1)immunosuppression (1)signal production (1)personalized treatment (1)electron shuttling (1)morphological analysis (1)metabolic plasticity (1)myocardial ischemic injury (1)cell division (1)replication (1)nucleolar reorganization (1)multi-target (1)probe biology (1)promoting angiogenesis (1)oled (1)cell lysis (1)screening (1)carbon fixation (1)epigenome profiling (1)hypoxia alleviation (1)wound healing (1)question answering (1)ammonia oxidation (1)modulation of cytoskeleton (1)ppi prediction (1)cellular protection (1)gene function prediction (1)metabolic (1)cell invasion (1)cell line characterization (1)ddi screening (1)immunosuppressive (1)cellular transformation (1)profiling (1)tubulin inhibition (1)interactions (1)cell growth promotion (1)sensitization (1)mutation prevention (1)predictive biomarker (1)nucleolar stress (1)energy homeostasis (1)stimulation (1)carbon limitation response (1)stress regulation (1)cell migration (1)anti-ageing (1)regulatory assessment (1)prognostic value (1)evaluation (1)variant prioritization (1)induction (1)intracellular ph regulation (1)cell profiling (1)regulation of calcium levels (1)rare disease diagnosis (1)disease gene identification (1)therapeutic opportunities (1)invasion (1)metabolic activity (1)protein synthesis (1)
▸ Activities — Antimicrobial (3)
▸ Activities — Anticancer (3)
▸ Activities — Antioxidant / cytoprotect (2)

🔍 Filters

440 articles with selected tags
Emiliano Panieri, Luciano Saso · 2021 · Antioxidants & redox signaling · added 2026-04-20
Significance: The nuclear factor erythroid 2-related factor 2/Kelch-like ECH-associated protein 1 (NRF2/KEAP1) pathway is a crucial and highly conserved defensive system that is required to maintain o Show more
Significance: The nuclear factor erythroid 2-related factor 2/Kelch-like ECH-associated protein 1 (NRF2/KEAP1) pathway is a crucial and highly conserved defensive system that is required to maintain or restore the intracellular homeostasis in response to oxidative, electrophilic, and other types of stress conditions. The tight control of NRF2 function is maintained by a complex network of biological interactions between positive and negative regulators that ultimately ensure context-specific activation, culminating in the NRF2-driven transcription of cytoprotective genes. Recent Advances: Recent studies indicate that deregulated NRF2 activation is a frequent event in malignant tumors, wherein it is associated with metabolic reprogramming, increased antioxidant capacity, chemoresistance, and poor clinical outcome. On the other hand, the growing interest in the modulation of the cancer cells' redox balance identified NRF2 as an ideal therapeutic target. Critical Issues: For this reason, many efforts have been made to identify potent and selective NRF2 inhibitors that might be used as single agents or adjuvants of anticancer drugs with redox disrupting properties. Despite the lack of specific NRF2 inhibitors still represents a major clinical hurdle, the researchers have exploited alternative strategies to disrupt NRF2 signaling at different levels of its biological activation. Future Directions: Given its dualistic role in tumor initiation and progression, the identification of the appropriate biological context of NRF2 activation and the specific clinicopathological features of patients cohorts wherein its inactivation is expected to have clinical benefits, will represent a major goal in the field of cancer research. In this review, we will briefly describe the structure and function of the NRF2/ KEAP1 system and some of the most promising NRF2 inhibitors, with a particular emphasis on natural compounds and drug repurposing. Antioxid. Redox Signal. 34, 1428-1483. Show less
no PDF DOI: 10.1089/ars.2020.8146
amino-acid anticancer review
Xiangjie Luo, Xuanqing Gong, Liyun Su +4 more · 2021 · Angewandte Chemie International Edition · Wiley · added 2026-04-20
AbstractDespite widespread applications for cancer treatment, chemotherapy is restricted by several limitations, including low targeting specificity, acquired drug resistance, and concomitant adverse Show more
AbstractDespite widespread applications for cancer treatment, chemotherapy is restricted by several limitations, including low targeting specificity, acquired drug resistance, and concomitant adverse side effects. It remains challenging to overcome these drawbacks. Herein, we report a new bioenergetic approach for treating cancer efficiently. As a proof‐of‐concept, we construct activatable mitochondria‐targeting organoarsenic prodrugs from organoarsenic compounds and traditional chemotherapeutics. These prodrugs could accomplish selective delivery and controlled release of both therapeutic agents to mitochondria, which synergistically promote mitochondrial ROS production and induce mitochondrial DNA damage, finally leading to mitochondria‐mediated apoptosis of cancer cells. Our in vitro and in vivo experiments reveal the excellent anticancer efficacy of these prodrugs, underscoring the encouraging outlook of this strategy for effective cancer therapy. Show less
no PDF DOI: 10.1002/anie.202012237
DNA-binding ROS anticancer mitochondria
Lorcan Holden, Christopher S. Burke, David Cullinane +1 more · 2021 · RSC Chemical Biology · Royal Society of Chemistry · added 2026-04-20
Transition metal luminophores are emerging as important tools for intracellular imaging and sensing. Their putative suitability for such applications has long been recognised but poor membrane Show more
Transition metal luminophores are emerging as important tools for intracellular imaging and sensing. Their putative suitability for such applications has long been recognised but poor membrane permeability and cytotoxicity were significant barriers that impeded early progress. In recent years, numerous effective routes to overcoming these issues have been reported, inspired in part, by advances and insights from the pharmaceutical and drug delivery domains. In particular, the conjugation of biomolecules but also other less natural synthetic species, from a repertoire of functional motifs have granted membrane permeability and cellular targeting. Such motifs can also reduce cytotoxicity of transition metal complexes and offer a valuable avenue to circumvent such problems leading to promising metal complex candidates for application in bioimaging, sensing and diagnostics. The advances in metal complex probes permeability/targeting are timely, as, in parallel, over the past two decades significant technological advances in luminescence imaging have occurred. In particular, super-resolution imaging is enormously powerful but makes substantial demands of its imaging contrast agents and metal complex luminophores frequently possess the photophysical characteristics to meet these demands. Here, we review some of the key vectors that have been conjugated to transition metal complex luminophores to promote their use in intra-cellular imaging applications. We evaluate some of the most effective strategies in terms of membrane permeability, intracellular targeting and what impact these approaches have on toxicity and phototoxicity which are important considerations in a luminescent contrast or sensing agent. Show less
📄 PDF DOI: 10.1039/D1CB00049G
anticancer coordination-chemistry drug-delivery imaging review
M. Jin, H. Itamochi, J. Kigawa +532 more · 2021 · Pharmaceuticals · MDPI · added 2026-04-20
M. Jin, H. Itamochi, J. Kigawa, M.J. McKeage, K.H. Lee, M.S. Hyun, H.K. Kim, H.M. Jin, J. Yang, H.S. Song, Y.R. Do, H.M. Ryoo, J.S. Chung, D.Y. Zang, R.G. Kenny, S.W. Chuah, A. Crawford, C.J. Marmion, T.C. Johnstone, K. Suntharalingam, S.J. Lippard, S. Dilrub, G.V. Kalayd, X.Y. Wang, Z.J. Guo, A.A. Argyriou, P. Polychronopoulos, G. Iconomou, E. Chroni, H.P. Kalofonos, S.R. McWhinney, R.M. Goldberg, H.L. McLeod, Y.Z. Min, C.Q. Mao, S.M. Chen, G.L. Ma, J. Wang, Y.Z. Liu, D. Wang, V. Brabec, O. Hrabina, J. Kasparkova, S. Usanova, A. Piée-Staffa, U. Sied, J. Thomale, A. Schneider, B. Kaina, B. Köberle, W. Sakai, E.M. Swisher, B.Y. Karlan, M.K. Agarwal, J. Higgins, C. Friedman, E. Villegas, C. Jacquemont, D.J. Farrugia, F.J. Couch, G.Y. Park, W.J. Guo, Y.M. Zhang, L. Zhang, B. Huang, F.F. Tao, W. Chen, Q. Xu, Y. Sun, I.A. Riddell, J. Malina, N.P. Farrell, S.M. Alexander, W. Lin, K.S. Lovejoy, M. Serova, I. Bieche, S. Emami, M. D’Incalci, M. Broggini, E. Erba, C. Gespach, E. Cvitkovic, S. Faivre, W. Zhou, M. Almeqdadi, M.E. Xifaras, Ö.H. Yilmaz, J.J. Wilson, J.P. Macquet, J.L. Butour, M.J. Cleare, J.D. Hoeschele, W.I. Sundquist, D.P. Bancroft, L.S. Hollis, J.N. Burstyn, W.J. Heiger-Bernays, S.F. Bellon, K.J. Ahmed, A.R. Amundsen, E.W. Stern, S. Zhang, J.E. Shima, L.L. Lagpacan, Y. Shu, A. Lapuk, Y. Chen, T. Komori, J.W. Gray, X. Chen, R.C. Todd, M.S. McCormick, J.A. D’Aquino, J.T. Reardon, A. Sancar, K.M. Giacomini, G.Y. Zhu, X.H. Huang, Y. Song, A. Casini, J. Reedijk, M.W. Kellinger, J. Chong, A.A. Almaqwashi, M.N. Naufer, M.C. Williams, M.T. Gregory, Y.S. Lee, W. Yang, H. Baruah, C.L. Rector, S.M. Monnier, U. Bierbach, R. Guddneppanavar, G. Saluta, G.L. Kucera, J.R. Choudhury, A.R. Kheradi, B.D. Steen, C.S. Day, C.L. Smyre, T.E. Kute, G.V. Kalayda, B.A.J. Jansen, P. Wielaard, H.J. Tanke, C. Molenaar, M. Ferrari, J. Brouwer, S.D. Wu, C.C. Zhu, Y.J. Song, Y.Z. Li, C.L. Zhang, Z. Yu, W.J. He, Y.F. He, Z.F. Chen, S.P. Zhang, L. Shen, Z.Z. Zhu, J. Zhang, C. Zhang, R.L. Guan, X.X. Liao, C. Ouyang, T.W. Rees, J.P. Liu, L.N. Ji, H. Chao, S. Bonnet, L.M. Dabids, B. Kleemann, Z.J. Zhou, J.B. Song, L.M. Nie, X.Y. Chen, M. Ethirajan, Y.H. Chen, P. Joshi, R.K. Pandey, A. Naik, R. Rubbiani, G. Gasser, B. Spingler, G.C. Yu, S. Yu, M.L. Saha, J. Zhou, T.R. Cook, B.C. Yung, J. Chen, Z.W. Mao, F.W. Zhang, A.M. Santoro, M.C. Lo Giudice, A. D’Urso, R. Lauceri, R. Purrello, D. Milardi, I.O. Bacellar, T.M. Tsubone, C. Pavani, M.S. Baptista, T.T. Tasso, L.M. Mattiazzi, T.V. Acunha, B.A. Iglesias, G.K. Couto, B.S. Pacheco, V.M. Borba, J.C.R. Junior, T.L. Oliveira, N.V. Segatto, F.K. Seixas, T. Collares, X.J. Hu, K. Ogawa, S. Li, T. Kiwada, A. Odani, X.L. Xu, F.W. Lin, Y. Du, X. Zhang, J. Wu, Z.K. Xu, X. Li, B.D. Zheng, X.H. Peng, S.Z. Li, J.W. Ying, Y. Zhao, J.D. Huang, J. Yoon, R.C.H. Wonga, P.C. Lo, D.K.P. Ng, K. Mitra, M. Samsó, C.E. Lyonsb, M.C.T. Hartman, J.F. Mao, J.H. Zhu, M.K. Raza, S. Gautam, A. Garai, P. Kondaiah, A.R. Chakravarty, B. Wang, H.X. Yuan, Z. Liu, C.Y. Nie, L.B. Liu, F.T. Lv, Y.L. Wang, S. Wang, X.L. Xue, H.C. Chen, Y. Bai, X.C. Shi, Y. Jiao, Z.Y. Chen, Y.P. Miao, C. Settembre, A. Fraldi, D.L. Medina, A. Ballabio, S.R. Bonam, F.J. Wang, S. Muller, A.V. Klein, T.W. Hambley, C.G. Qian, H.B. Fang, H.K. Liu, H. Yuan, W.T. Liu, Y.F. Zhong, L.Y. Liu, C.T. Shen, W.J. Zeng, F.Y. Wang, D.Z. Yang, X.H. Zheng, G. Mu, T.P. Zhang, Q. Cao, H. Zhang, Y.W. Zhou, Y. Shen, P.Z. Qin, Y. Li, E. Freisinger, R.K.O. Sigel, B. Dumat, G. Bordeau, E. Faurel-Paul, F. Mahuteau-Betzer, N. Saettel, G. Metge, C. Fiorini-Debuisschert, F. Charra, M.P. Teulade-Fichou, C.P. Tan, U. Basu, B. Banik, R. Wen, R.K. Pathak, S. Dhar, M. Kansara, M.T. Teng, M.J. Smyth, D.M. Thomas, E. Alpaslan, H. Yazici, N.H. Golshan, K.S. Ziemer, T.J. Webster, D.E. Reed, K.M. Shokat, J.S. Whelan, L.E. Davis, G. Makris, E.D. Tseligka, I. Pirmettis, M.S. Papadopoulos, I.S. Vizirianakis, D. Papagiannopoulou, Z.Q. Zhang, C. Luo, K. Wang, S.R. Zhang, H. Hamidi, J. Ivaska, T. Chatzisideri, S. Thysiadis, S. Katsamakas, P. Dalezis, I. Sigala, T. Lazarides, E. Nikolakaki, D. Trafalis, O.A. Gederaas, M. Lindgren, A. Zamora, A. Gandioso, A. Massaguer, S. Buenestado, C. Calvis, J.L. Hernández, F. Mitjans, V. Rodríguez, J. Ruiz, V. Marchán, T. Wu, Y. Dai, A.A. Franich, M.D. Živković, T. Ilić-Tomić, I.S. Đorđević, J. Nikodinović-Runić, A. Pavić, G.V. Janjić, S. Rajković, U.E. Martinez-Outschoorn, M. Peiris-Pages, R.G. Pestell, F. Sotgia, M.P. Lisanti, Y.H. Yang, S. Karakhanova, W. Hartwig, J.G. D’haese, P.P. Philippov, J. Werner, A.V. Bazhin, M.G. Vander Heiden, L.C. Cantley, C.B. Thompson, D.C. Wallace, S. Marrachea, R.W. Taylor, D.M. Turnbull, P. Bouwman, J. Jonkers, C. Holohan, S. Van Schaeybroeck, D.B. Longley, P.G. Johnston, S. Fulda, L. Galluzzi, G. Kroemer, N. Lomeli, K.J. Di, J. Czerniawski, J.F. Guzowski, D.A. Bota, Y. Guo, D.F. Song, Z.H. Wang, Y.J. Wang, H.M. Zhang, Z.J. Gan, N. Muhammad, P. Imming, C. Sinning, A. Meyer, R. Ramsay, K. Tipton, N.K. Tonks, L.P. Lu, M.L. Zhu, C.X. Yuan, W.R. Wang, J.W. Wang, X.H. Li, Y.B. Wu, S.D. Li, S. Xing, X.Q. Fu, D.W. Zhang, Y.M. Yip, L.B. Li, S.N. Li, J.J. Li, W.Q. Dai, Q.H. Zhang, J. Feng, L.W. Wu, T. Liu, Q. Yu, S.Z. Xu, W.W. Wang, K. Muhammad, N. Sadia, Z.Y. Pan, P.A. Waghorn, M.R. Jackson, V. Gouverneur, K.A. Vallis, A. Paul, B. Maji, S.K. Misra, A.K. Jain, K. Muniyappa, S. Bhattacharya, G.B. Huang, S. Chen, Q.P. Qin, J.R. Luo, M.X. Tan, Z.F. Wang, B.Q. Zou, H. Liang, X.L. Huang, Y. Zhang, S.L. Wang, H.H. Zou, L. Wang, Z.X. Long, Z.K. Song, T. Xie, S.H. Zhang, Y.C. Liu, B. Lin, M. Sabbatini, I. Zanellato, M. Ravera, E. Gabano, E. Perin, B. Rangone, D. Osella, D.Y.Q. Wong, W.W.F. Ong, W.H. Ang, K.B. Huang, H.W. Feng, H.J. Luo, Y. Long, T.T. Zou, A.S.C. Chan, R. Liu, K. Al-Khayal, M.A. Vaali-Mohammed, M. Elwatidy, T. Bin Traiki, O. Al-Obeed, M. Azam, Z. Khan, M. Abdulla, R. Ahmad, K. Choroba, B. Machura, L.R. Raposo, J.G. Małecki, S. Kula, M. Pająk, K. Erfurt, A.M. Maroń, A.R. Fernandes, X.M. Tang, X. Wang, Y.N. Liu, G. Ferraro, T. Marzo, T. Infrasca, A. Cilibrizzi, R. Vilar, L. Messori, A. Merlino, Z. Li, Y. Gan, Y.H. Yin, W.C. Zhang, J.F. Yang, Y.X. Tang, Y.B. Dai, C. Icsel, V.T. Yilmaz, B. Cevatemre, M. Aygun, E. Ulukaya, I. Khan, B. Maity, J.Y. Zhang, C. Tu, J. Lin, J. Ding, L.P. Lin, Z.M. Wang, C. He, C.H. Yan, X.Z. You Show less
Platinum-based anticancer drugs represented by cisplatin play important roles in the treatment of various solid tumors. However, their applications are largely compromised by drug resistance and side Show more
Platinum-based anticancer drugs represented by cisplatin play important roles in the treatment of various solid tumors. However, their applications are largely compromised by drug resistance and side effects. Much effort has been made to circumvent the drug resistance and general toxicity of these drugs. Among multifarious designs, monofunctional platinum(II) complexes with a general formula of [Pt(3A)Cl] + (A: Ammonia or amine) stand out as a class of “non-traditional” anticancer agents hopeful to overcome the defects of current platinum drugs. This review aims to summarize the development of monofunctional platinum(II) complexes in recent years. They are classified into four categories: fluorescent complexes, photoactive complexes, targeted complexes, and miscellaneous complexes. The intention behind the designs is either to visualize the cellular distribution, or to reduce the side effects, or to improve the tumor selectivity, or inhibit the cancer cells through non-DNA targets. The information provided by this review may inspire researchers to conceive more innovative complexes with potent efficacy to shake off the drawbacks of platinum anticancer drugs. Show less
📄 PDF DOI: 10.3390/ph14020133
Pt anticancer imaging photoactivated review
2021 · Journal of Inorganic Biochemistry · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.jinorgbio.2021.111447
anticancer
2021 · Journal of Inorganic Biochemistry · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.jinorgbio.2021.111447
anticancer
Reinfeld, Bradley I., Rathmell, W. Kimryn, Kim, Tae Kon +1 more · 2021 · Nature Publishing Group · Nature · added 2026-04-20
In 2011, Hanahan and Weinberg added “Deregulating Cellular Energetics” and “Avoiding Immune Destruction” to the six previous hallmarks of cancer. Since this seminal paper, there has been a growing con Show more
In 2011, Hanahan and Weinberg added “Deregulating Cellular Energetics” and “Avoiding Immune Destruction” to the six previous hallmarks of cancer. Since this seminal paper, there has been a growing consensus that these new hallmarks are not mutually exclusive but rather interdependent. The following review summarizes how founding genetic events for tumorigenesis ultimately increase tumor cell glycolysis, which not only supports the metabolic demands of malignancy but also provides an immunoprotective niche, promoting malignant cell proliferation, maintenance and progression. The mechanisms by which altered metabolism contributes to immune impairment are multifactorial: (1) the metabolic demands of proliferating tumor cells and activated immune cells are similar, thus creating a situation where immune cells may be in competition for key nutrients; (2) the metabolic byproducts of aerobic glycolysis directly inhibit antitumor immunity while promoting a regulatory immune phenotype; and (3) the gene programs associated with the upregulation of glycolysis also result in the generation of immunosuppressive cytokines and metabolites. From this perspective, we shed light on important considerations for the development of new classes of agents targeting cancer metabolism. These types of therapies can impair tumor growth but also pose a significant risk of stifling antitumor immunity. Show less
📄 PDF DOI: 10.1038/s41423-021-00727-3
anticancer review
Jonas F. Schlagintweit, Christian H. G. Jakob, Nicola L. Wilke +12 more · 2021 · Journal of Medicinal Chemistry · ACS Publications · added 2026-04-20
TLDR: The present results demonstrate that gold(I) bis(1,2,3-triazol-5-ylidene) complexes are highly promising and easily modifiable anticancer metallodrugs.
no PDF DOI: 10.1021/acs.jmedchem.1c01021
Au anticancer
Komal M. Vyas, Deepu Sharma, Sri Krishna Jayadev Magani +2 more · 2021 · Applied Organometallic Chemistry · Wiley · added 2026-04-20
Two new arene ruthenium(II) complexes with chemical formula [Ru2(η6‐p‐cymene)2(μ‐L1)(μ‐Cl)Cl2][Ru]‐1and [Ru(η6‐p‐cymene)(L2)Cl2][Ru]‐2(L1 =5‐phenyl‐2H‐tetrazole andL2= 2‐(2H‐tetrazol‐5‐yl)pyridine) we Show more
Two new arene ruthenium(II) complexes with chemical formula [Ru2(η6‐p‐cymene)2(μ‐L1)(μ‐Cl)Cl2][Ru]‐1and [Ru(η6‐p‐cymene)(L2)Cl2][Ru]‐2(L1 =5‐phenyl‐2H‐tetrazole andL2= 2‐(2H‐tetrazol‐5‐yl)pyridine) were synthesized by the reaction of [{(η6‐p‐cymene)RuCl2}2] with two bidentate ligands L1 and L2. Both the complexes were structurally characterized using single‐crystal X‐ray diffraction and other analytical techniques. The X‐ray crystal structures of both the complexes revealed the coordination of tetrazolate ligands to two Ru(II) centres in bridging mode in[Ru]‐1, whereas one Ru(II) centre in[Ru]‐2in chelating fashion, with overall pseudo‐octahedral geometry. The resulted complexes were screened for their cytotoxic activity against three different cancer cell lines, HCT116 (colon cancer), HepG2 (liver cancer) and MCF7 (breast cancer) under in vitro conditions. Interestingly,[Ru]‐1showed much higher cytotoxicity with respect to[Ru]‐2against all the screened cancer cell lines and even better than cisplatin. For exploring the mechanism of action of[Ru]‐1, reactive oxygen species (ROS) production, alterations in mitochondrial membrane potential and gene expression profiling of apoptosis related genes (Bcl2, caspase‐3 and caspase‐9) were also evaluated. The cancerous cells treated with[Ru]‐1showed an increase in intracellular ROS levels, disruption of mitochondrial membrane potential, up‐regulation of proapoptotic caspase‐3 and caspase‐9 and down‐regulation of antiapoptotic Bcl2. The results concluded that[Ru]‐1induced apoptosis through oxidative stress mediated activation of intrinsic pathway by generating intracellular ROS, loss of MMP and alteration of expression of apoptosis related genes. In addition, antimetastatic activity of[Ru]‐1was observed by wound healing assay showing anti‐migratory property. The dual properties, antimetastatic activity and high cytotoxicity make[Ru]‐1potent platform for the development of new anticancer agents. Show less
no PDF DOI: 10.1002/aoc.6187
HepG2 ROS Ru X-ray anticancer coordination-chemistry mitochondria pyridine
Valeria R. Martínez, María V. Aguirre, Juan S. Todaro +2 more · 2021 · New Journal of Chemistry · Royal Society of Chemistry · added 2026-04-20
Cellular oxidative stress is considered an inducer of carcinogenesis but the association of reactive oxygen species (ROS) with cancer is sometimes contradictory. The antihypertensive drugs can Show more
Cellular oxidative stress is considered an inducer of carcinogenesis but the association of reactive oxygen species (ROS) with cancer is sometimes contradictory. The antihypertensive drugs candesartan and valsartan were reported to behave as antioxidant agents. In the present study, we prepared their Zn(II) coordination complexes, [ZnCand(H2O)2]·2H2O (ZnCand) and [ZnVals(H2O)2] (ZnVals), and determined that they also depleted ROS by the induction of a reductive state in response to glutathione (GSH) generation and decreased lung cancer cell viability (IC50 = 175 and 220 µM, respectively), while being non-cytotoxic for normal lung fibroblasts (MRC5). The Zn complexes affected the mitochondria membrane, increased the pro- and anti-apoptotic protein ratio, Bax/Bcl-XL, and caspase-9 activation, by late apoptosis. Their co-incubation with N-acetylcysteine (NAC) exacerbated ROS reduction and increased cell death, whereas the H2O2 co-treatment restored the ROS values and normal cell growth. These data suggest that the excess reducing equivalents and low levels of ROS are also critical for the functioning of A549 cells. Show less
📄 PDF DOI: 10.1039/D0NJ02937H
A549 Co ROS Zn amino-acid anticancer coordination-chemistry mitochondria
2021 · SSRN Electronic Journal · added 2026-04-20
no PDF DOI: 10.2139/ssrn.3838306
Co Cu antibacterial anticancer synthesis
2021 · Inorganica Chimica Acta · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ica.2020.120169
Cu X-ray anticancer synthesis tetrazole
2021 · Journal of Molecular Structure · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.molstruc.2021.131024
Cu anticancer synthesis
Batyrenko, A. A., A. A. Batyrenko, Mikolaichuk, O. V. +17 more · 2021 · Pleiades Publishing · added 2026-04-20
Abstract A series of palladium(II) complexes with 1H- and 2H-tetrazole ligands (2-isopropyl-5-R-2H-tetrazoles and 1H-tetrazol-1-ylcarboxylic acids) was synthesized. Structure of the obtained compounds Show more
Abstract A series of palladium(II) complexes with 1H- and 2H-tetrazole ligands (2-isopropyl-5-R-2H-tetrazoles and 1H-tetrazol-1-ylcarboxylic acids) was synthesized. Structure of the obtained compounds was confirmed by 1H and 13C NMR spectroscopy, high-resolution mass spectrometry, and single crystal X-ray diffraction analysis. According to the spectrophotometry data, the complexes are weakly bound to DNA. The cytotoxic activity of the obtained palladium complexes was studied in vitro. Show less
no PDF DOI: 10.1134/S1070363221040149
NMR Pd X-ray anticancer synthesis tetrazole
Traba, Javier , Sack, Michael N. , Waldmann, Thomas A. +1 more · 2021 · Frontiers · Frontiers · added 2026-04-20
Constitutive activity of the immune surveillance system detects and kills cancerous cells, although many cancers have developed strageties to avoid detection and to resist their destruction. Cancer im Show more
Constitutive activity of the immune surveillance system detects and kills cancerous cells, although many cancers have developed strageties to avoid detection and to resist their destruction. Cancer immunotherapy entails the manipulation of components of the endogenous immune system as targeted approaches to control and destroy cancer cells. Since one of the major limitations for the antitumor activity of immune cells is the immunosuppressive tumor microenvironment (TME), boosting the immune system to overcome the inhibition provided by the TME is a critical component of oncotherapeutics. In this article, we discuss the main effects of the TME on the metabolism and function of immune cells, and review emerging strategies to potentiate immune cell metabolism to promote antitumor effects either as monotherapeutics or in combination with conventional chemotherapy to optimize cancer management. Show less
📄 PDF DOI: 10.3389/fimmu.2021.657293
anticancer review
V. P. Boyarskii, Boyarskii, V. P., A. S. Mikherdov +9 more · 2021 · Springer US · Springer · added 2026-04-20
A new diaminocarbene cis-palladium(II) complex containing a 2-aminobenzoxazole ligand was synthesized by reacting cis-[PdCl2(CNCy)2] and 2-aminobenzoxazole. The structure and composition of the obtain Show more
A new diaminocarbene cis-palladium(II) complex containing a 2-aminobenzoxazole ligand was synthesized by reacting cis-[PdCl2(CNCy)2] and 2-aminobenzoxazole. The structure and composition of the obtained complex were proven by NMR spectroscopy and high-resolution mass spectrometry. The cytotoxicities of the obtained complex and structurally similar palladium(II) complexes containing a 2-aminothiazole ligand were tested against human cancer cells of various histogenesis (MCF-7, HL60, HeLa, DLD1, A431). The activities of several complexes against cancer cells were higher than those of the reference drug cisplatin and the free ligands, i.e., 2-aminooxazole and substituted 2-aminothiazoles. Show less
no PDF DOI: 10.1007/s11094-021-02393-1
HeLa MCF-7 NMR Pd anticancer synthesis
Tatiana I Terpinskaya, Alexey V Osipov, Elena V Kryukova +8 more · 2021 · Marine drugs · MDPI · added 2026-04-20
Among the brain tumors, glioma is the most common. In general, different biochemical mechanisms, involving nicotinic acetylcholine receptors (nAChRs) and the arachidonic acid cascade are involved in o Show more
Among the brain tumors, glioma is the most common. In general, different biochemical mechanisms, involving nicotinic acetylcholine receptors (nAChRs) and the arachidonic acid cascade are involved in oncogenesis. Although the engagement of the latter in survival and proliferation of rat C6 glioma has been shown, there are practically no data about the presence and the role of nAChRs in C6 cells. In this work we studied the effects of nAChR antagonists, marine snail α-conotoxins and snake α-cobratoxin, on the survival and proliferation of C6 glioma cells. The effects of the lipoxygenase and cyclooxygenase inhibitors either alone or together with α-conotoxins and α-cobratoxin were studied in parallel. It was found that α-conotoxins and α-cobratoxin promoted the proliferation of C6 glioma cells, while nicotine had practically no effect at concentrations below 1 µL/mL. Nordihydroguaiaretic acid, a nonspecific lipoxygenase inhibitor, and baicalein, a 12-lipoxygenase inhibitor, exerted antiproliferative and cytotoxic effects on C6 cells. nAChR inhibitors weaken this effect after 24 h cultivation but produced no effects at longer times. Quantitative real-time polymerase chain reaction showed that mRNA for α4, α7, β2 and β4 subunits of nAChR were expressed in C6 glioma cells. This is the first indication for involvement of nAChRs in mechanisms of glioma cell proliferation. Show less
no PDF DOI: 10.3390/md19020118
anticancer
2021 · Redox Biology · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.redox.2021.101949
anticancer
2021 · Redox Biology · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.redox.2021.101949
anticancer
2021 · Coordination Chemistry Reviews · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ccr.2021.214129
anticancer
Neuditschko B, Legin AA, Baier D +7 more · 2021 · Angewandte Chemie · Wiley · added 2026-04-20
The ruthenium-based anticancer agent BOLD-100/KP1339 has shown promising results in several in vitro and in vivo tumour models as well as in early clinical trials. However, its mode of action remains Show more
The ruthenium-based anticancer agent BOLD-100/KP1339 has shown promising results in several in vitro and in vivo tumour models as well as in early clinical trials. However, its mode of action remains to be fully elucidated. Recent evidence identified stress induction in the endoplasmic reticulum (ER) and concomitant down-modulation of HSPA5 (GRP78) as key drug effects. By exploiting the naturally formed adduct between BOLD-100 and human serum albumin as an immobilization strategy, we were able to perform target-profiling experiments that revealed the ribosomal proteins RPL10, RPL24, and the transcription factor GTF2I as potential interactors of this ruthenium(III) anticancer agent. Integrating these findings with proteomic profiling and transcriptomic experiments supported ribosomal disturbance and concomitant induction of ER stress. The formation of polyribosomes and ER swelling of treated cancer cells revealed by TEM validated this finding. Thus, the direct interaction of BOLD-100 with ribosomal proteins seems to accompany ER stress-induction and modulation of GRP78 in cancer cells. Show less
📄 PDF DOI: 10.1002/anie.202015962
Ru anticancer
2021 · Coordination Chemistry Reviews · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ccr.2021.214129
anticancer
Xue-Quan Zhou, Imma Carbo-Bague, Maxime A. Siegler +8 more · 2021 · JACS Au · ACS Publications · added 2026-04-20
In this work, a pair of gold(III) complexes derived from the analogous tetrapyridyl ligands H2biqbpy1 and H2biqbpy2 was prepared: the rollover, bis-cyclometalated [Au(biqbpy1)Cl Show more
In this work, a pair of gold(III) complexes derived from the analogous tetrapyridyl ligands H2biqbpy1 and H2biqbpy2 was prepared: the rollover, bis-cyclometalated [Au(biqbpy1)Cl ([1]Cl) and its isomer [Au(biqbpy2)Cl ([2]Cl). In [1]+, two pyridyl rings coordinate to the metal via a Au-C bond (CNNC coordination) and the two noncoordinated amine bridges of the ligand remain protonated, while in [2]+ all four pyridyl rings of the ligand coordinate to the metal via a Au-N bond (NNNN coordination), but both amine bridges are deprotonated. As a result, both complexes are monocationic, which allowed comparison of the sole effect of cyclometalation on the chemistry, protein interaction, and anticancer properties of the gold(III) compounds. Due to their identical monocationic charge and similar molecular shape, both complexes [1]Cl and [2]Cl displaced reference radioligand [3H]dofetilide equally well from cell membranes expressing the Kv11.1 (hERG) potassium channel, and more so than the tetrapyridyl ligands H2biqbpy1 and H2biqbpy2. By contrast, cyclometalation rendered [1]Cl coordinatively stable in the presence of biological thiols, while [2]Cl was reduced by a millimolar concentration of glutathione into metastable Au(I) species releasing the free ligand H2biqbpy2 and TrxR-inhibiting Au+ ions. The redox stability of [1]Cl dramatically decreased its thioredoxin reductase (TrxR) inhibition properties, compared to [2]Cl. On the other hand, unlike [2]Cl, [1]Cl aggregated into nanoparticles in FCS-containing medium, which resulted in much more efficient gold cellular uptake. [1]Cl had much more selective anticancer properties than [2]Cl and cisplatin, as it was almost 10 times more cytotoxic to human cancer cells (A549, A431, A375, and MCF7) than to noncancerous cells (MRC5). Mechanistic studies highlight the strikingly different mode of action of the two compounds: while for [1]Cl high gold cellular uptake, nuclear DNA damage, and interaction with hERG may contribute to cell killing, for [2]Cl extracellular reduction released TrxR-inhibiting Au+ ions that were taken up in minute amounts in the cytosol, and a toxic tetrapyridyl ligand also capable of binding to hERG. These results demonstrate that bis-cyclometalation is an appealing method to improve the redox stability of Au(III) compounds and to develop gold-based cytotoxic compounds that do not rely on TrxR inhibition to kill cancer cells. Show less
no PDF DOI: 10.1021/jacsau.0c00104
Au amino-acid anticancer coordination-chemistry cyclometalating
Song MY, Lee DY, Chun KS +1 more · 2021 · International journal of molecular sciences · MDPI · added 2026-04-20
The nuclear factor-erythroid 2 p45-related factor 2 (NRF2, also called Nfe2l2) and its cytoplasmic repressor, Kelch-like ECH-associated protein 1 (KEAP1), are major regulators of redox homeostasis con Show more
The nuclear factor-erythroid 2 p45-related factor 2 (NRF2, also called Nfe2l2) and its cytoplasmic repressor, Kelch-like ECH-associated protein 1 (KEAP1), are major regulators of redox homeostasis controlling a multiple of genes for detoxification and cytoprotective enzymes. The NRF2/KEAP1 pathway is a fundamental signaling cascade responsible for the resistance of metabolic, oxidative stress, inflammation, and anticancer effects. Interestingly, a recent accumulation of evidence has indicated that NRF2 exhibits an aberrant activation in cancer. Evidence has shown that the NRF2/KEAP1 signaling pathway is associated with the proliferation of cancer cells and tumerigenesis through metabolic reprogramming. In this review, we provide an overview of the regulatory molecular mechanism of the NRF2/KEAP1 pathway against metabolic reprogramming in cancer, suggesting that the regulation of NRF2/KEAP1 axis might approach as a novel therapeutic strategy for cancers. Show less
📄 PDF DOI: 10.3390/ijms22094376
ROS amino-acid anticancer review
2021 · International journal of molecular sciences · MDPI · added 2026-04-21
The nuclear factor-erythroid 2 p45-related factor 2 (NRF2, also called Nfe2l2) and its cytoplasmic repressor, Kelch-like ECH-associated protein 1 (KEAP1), are major regulators of redox homeostasis con Show more
The nuclear factor-erythroid 2 p45-related factor 2 (NRF2, also called Nfe2l2) and its cytoplasmic repressor, Kelch-like ECH-associated protein 1 (KEAP1), are major regulators of redox homeostasis controlling a multiple of genes for detoxification and cytoprotective enzymes. The NRF2/KEAP1 pathway is a fundamental signaling cascade responsible for the resistance of metabolic, oxidative stress, inflammation, and anticancer effects. Interestingly, a recent accumulation of evidence has indicated that NRF2 exhibits an aberrant activation in cancer. Evidence has shown that the NRF2/KEAP1 signaling pathway is associated with the proliferation of cancer cells and tumerigenesis through metabolic reprogramming. In this review, we provide an overview of the regulatory molecular mechanism of the NRF2/KEAP1 pathway against metabolic reprogramming in cancer, suggesting that the regulation of NRF2/KEAP1 axis might approach as a novel therapeutic strategy for cancers. Show less
📄 PDF DOI: 10.3390/ijms22094376
anticancer anticancer effects bioenergetics cancer cancer metabolism cellular antioxidant response inflammation keap1
2021 · Metabolites · MDPI · added 2026-04-21
Pd(II)-compounds are presently regarded as promising anticancer drugs, as an alternative to Pt(II)-based drugs (e.g., cisplatin), which typically trigger severe side-effects and acquired resistance. D Show more
Pd(II)-compounds are presently regarded as promising anticancer drugs, as an alternative to Pt(II)-based drugs (e.g., cisplatin), which typically trigger severe side-effects and acquired resistance. Dinuclear Pd(II) complexes with biogenic polyamines such as spermine (Pd2 Spm) have exhibited particularly beneficial cytotoxic properties, hence unveiling the importance of understanding their impact on organism metabolism. The present study reports the first nuclear magnetic resonance (NMR)-based metabolomics study to assess the in vivo impact of Pd2 Spm on the metabolism of healthy mice, to identify metabolic markers with possible relation to biotoxicity/side-effects and their dynamics. The changes in the metabolic profiles of both aqueous and lipophilic extracts of mice kidney, liver, and breast tissues were evaluated, as a function of drug-exposure time, using cisplatin as a reference drug. A putative interpretation was advanced for the metabolic deviations specifically triggered by Pd2 Spm, this compound generally inducing faster metabolic response and recovery to control levels for all organs tested, compared to cisplatin (except for kidney lipid metabolism). These results constitute encouraging preliminary metabolic data suggestive of potential lower negative effects of Pd2 Spm administration. Academic Editor: Ian D Wilson Show less
📄 PDF DOI: 10.3390/metabo11020114
anticancer bioinorganic cancer cisplatin medicinal chemistry metabolomics nmr pd
Márquez J, Matés JM · 2021 · Cancers · MDPI · added 2026-04-20
The study of cancer metabolism is regaining center stage and becoming a hot topic in tumor biology and clinical research, after a period where such kind of experimental approaches were somehow forgott Show more
The study of cancer metabolism is regaining center stage and becoming a hot topic in tumor biology and clinical research, after a period where such kind of experimental approaches were somehow forgotten or disregarded in favor of powerful functional genomic and proteomic studies [...]. Show less
📄 PDF DOI: 10.3390/cancers13020314
anticancer cancer genomic medicinal chemistry metabolic reprogramming metabolome mitochondria proteomic
Huanrong Lan, Yuyao Liu, Jinlong Liu +4 more · 2021 · Molecular Pharmaceutics · ACS Publications · added 2026-04-20
As a third-generation platinum drug, oxaliplatin (OX) is widely used as the first-line chemotherapeutic agent in the treatment of colorectal cancer (CRC). CRC cells acquire resistance to chemotherapy Show more
As a third-generation platinum drug, oxaliplatin (OX) is widely used as the first-line chemotherapeutic agent in the treatment of colorectal cancer (CRC). CRC cells acquire resistance to chemotherapy and develop resistance, which is a major challenge for the treatment of advanced CRC. Recent studies have suggested that the therapeutic resistance of tumors is affected by the tumor microenvironment (TME). As a critical role among TME, tumor-associated macrophages (TAMs) play an important role. However, their regulatory mechanism underlying the drug resistance in CRC remains largely unknown. In the present study, we found that the density of macrophages infiltrated into the CRC tissues from OX-resistant patients was significantly higher compared with the OX-sensitive patients. Interestingly, both the total N6-methyladenosine (m6A) RNA content and the expression of its critical methyltransferase METTL3 were increased in the CRC tissues from OX-resistant patients compared with the OX-sensitive patients. Furthermore, we demonstrated that the M2-polarized TAMs enabled the OX resistance via the elevation of METTL3-mediated m6A modification in cells. Through whole-genome CRISPR screening and further validation, we found that TRAF5 contributes to the METTL3-triggered OX resistance in CRC cells. This study unveiled that M2-TAMs were important mediators for the acquisition of OX resistance. Furthermore, we provided evidence that targeting of M2-TAMs and METTL3-mediated m6A modification might be a promising adjuvant therapeutic strategy for CRC patients, especially for OX-resistant CRC patients. Show less
no PDF DOI: 10.1021/acs.molpharmaceut.0c00961
anticancer cancer chemotherapy resistance colorectal cancer crispr screening drug resistance mettl3 oxaliplatin
2021 · · Frontiers · added 2026-04-20
In the most recent decades, oxaliplatin has been used as a chemotherapeutic agent for colorectal cancer and other malignancies as well. Oxaliplatin interferes with tumor growth predominantly exerting Show more
In the most recent decades, oxaliplatin has been used as a chemotherapeutic agent for colorectal cancer and other malignancies as well. Oxaliplatin interferes with tumor growth predominantly exerting its action in DNA synthesis inhibition by the formation of DNA-platinum adducts that, in turn, leads to cancer cell death. On the other hand, unfortunately, this interaction leads to a plethora of systemic side effects, including those affecting the peripheral and central nervous system. Oxaliplatin therapy has been associated with acute and chronic neuropathic pain that induces physicians to reduce the dose of medication or discontinue treatment. Recently, the capability of oxaliplatin to alter the genetic and epigenetic profiles of the nervous cells has been documented, and the understanding of gene expression and transcriptional changes may help to find new putative treatments for neuropathy. The present article is aimed to review the effects of oxaliplatin on genetic and epigenetic mechanisms to better understand how to ameliorate neuropathic pain in order to enhance the anti-cancer potential and improve patients' quality of life. Show less
📄 PDF DOI: 10.3389/fmolb.2021.643824
anticancer cancer chemotherapy cisplatin dna dna binding epigenetic analysis gene expression
2021 · · added 2026-04-20
Patients with diabetes have increased risk of cancer and poor response to anti-cancer treatment. Increased protein synthesis is associated with endoplasmic reticulum (ER) stress which can trigger the Show more
Patients with diabetes have increased risk of cancer and poor response to anti-cancer treatment. Increased protein synthesis is associated with endoplasmic reticulum (ER) stress which can trigger the unfolded protein response (UPR) to restore homeostasis, failure of which can lead to dysregulated cellular growth. We hypothesize that hyperglycemia may have legacy effect in promoting survival of cancer cells through dysregulation of UPR. Using HCT116 colorectal cancer cells as a model, we demonstrated the effects of high glucose (25 mM) on promoting cell growth which persisted despite return to normal glucose medium (5.6 mM). Using the Affymetrix gene expression microarray in HCT116 cells programmed by high glucose, we observed activation of genes related to cell proliferation and cell cycle progression and suppression of genes implicated in UPR including BiP and CHOP. These gene expression changes were validated in HCT116 cancer cells using quantitative real-time PCR and Western blot analysis. We further examined the effects of thapsigargin, an anti-cancer prodrug, which utilized ER stress pathway to induce apoptosis. High glucose attenuated thapsigargin-induced UPR and growth inhibition in HCT116 cells, which persisted despite return to normal glucose medium. Western blot analysis showed activation of caspase-3 in thapsigargin-treated cells in both normal and high glucose medium, albeit with lower levels of cleaved caspase-3 in cells exposed to high glucose, suggesting reduced apoptosis. Flow cytometry analysis confirmed fewer apoptotic cells under thapsigargin treatment in cells exposed to high glucose. Our results suggested that hyperglycemia altered gene expression involved in UPR with increased cell proliferation and facilitated survival of HCT116 cells under thapsigargin-induced ER stress by reducing the apoptotic response. Show less
anticancer cancer cell cycle progression cell growth promotion cell membrane diabetes endoplasmic reticulum endoplasmic reticulum stress response