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The carcinogenicity of anticancer drugs: a hazard in man.

The carcinogenic potential of anticancer drugs is discussed in the light of selected basic principles of chemical carcinogenesis. Anticancer drugs which act by alkylation and/or by binding tightly to DNA frequently cause cancer in experimental animals and may be carcinogenic in man. In addition, certain anticancer drugs act as cocarcinogens in experimental systems and augment the tumorigenicity of chemical carcinogens. Host determinants are important in chemical carcinogenesis. Many chemical carcinogens and anticancer drugs require metabolic activation by microsomal enzymes. Studies in twins have shown interindividual variation of drug metabolism in man is greater than intraindividual variation caused by exogenous factors. Therefore, certain individuals may be unusually susceptible to the carcinogenicity of anticancer drugs on a pharmacogenetic basis. Age is also a host determinant. At a given total dose level, age at first exposure to chemical carcinogens has been shown to be an important risk factor in experimental studies and in some epidemiologic investigations in man. Therefore, children may be especially susceptible to the carcinogenicity of anticancer drugs. These treated children have the potential of a normal lifespan; the latency period between initial exposure to a carcinogen and clinical evidence of cancer in man is long, usually 2-5 decades. The problems involved in extrapolating data of carcinogenicity in experimental animals to man are discussed. A single drug may have multiple consequences in experimental studies; for example, actinomycin D can act as an anticancer drug, an anticarcinogen, and a carcinogen. These uncertainities and the clinical results concerning second neoplasms following cancer therapy in both children and adults clearly indicate the need to follow carefully long-term survivors who have received cancer therapy.

Age Factors

Artificial intelligence for anticancer drug discovery from natural products of macroalgae and sponges: A systematic review.

Marine natural products (MNPs) from macroalgae and marine sponges have inspired clinically important anticancer agents, including the cytarabine pharmacophore and the eribulin scaffold, while cyanobacterial dolastatin chemistry supplies the auristatin payloads of several marine-inspired antibody-drug conjugates (ADCs) such as brentuximab vedotin. Artificial intelligence (AI) methods, encompassing both classical machine learning (ML) with hand-engineered features and modern deep learning (DL) with many-layered neural networks, are increasingly supporting key decisions in natural-product anticancer drug discovery, including bioactivity prediction, target identification, absorption, distribution, metabolism, excretion and toxicity (ADMET) filtering, generative analogue design, and the selection of preclinical candidates. DL architectures relevant to this field include graph neural networks, transformer-based molecular generators, diffusion models for protein-ligand docking, and convolutional networks for mass spectrometry, while classical ML contributes interpretable fingerprint-based bioactivity models and molecular networking for dereplication. This review follows a systematic literature review methodology to organize the landscape of AI methods now applied to MNP anticancer discovery, distinguishing ML and DL approaches where relevant, situating them within the chemical context of macroalgal and sponge-derived oncology leads, and critically examining published case studies, including validation level (computational, in vitro, in vivo, clinical). The principal bottleneck for medical translation has shifted partly from algorithmic capability toward data infrastructure and experimental validation. Sparse, heterogeneous, and taxonomically biased bioactivity records limit what current models can learn and reduce the reliability of AI-prioritized candidates entering the preclinical pipeline. A roadmap is proposed that prioritizes open MNP-specific benchmarks, symbiont-aware modeling, and active learning loops with synthesizability and ADMET constraints. These AI workflows may accelerate the prioritization of marine-derived anticancer leads and support earlier, more evidence-based translational decisions in oncology drug development.

Biological Products

Inhibition of nitroso chemical carcinogen activation of rat hepatic guanylate cyclase by anticancer agents.

Recent studies have demonstrated that nitroso chemical carcinogens activate guanylate cyclase (EC 4.6.1.2) which catalyzes the production of guanosine 3',5'-monophosphate. This nucleotide is thought to be involved in normal and abnormal cell growth. We examined the effect of 3 major classes of anticancer chemotherapeutic agents, the antimetabolites (methotrexate and 6-mercaptopurine), antitumor antibiotics (adriamycin and actinomycin D), and alkylating agents (cytoxan, uracil mustard, isophosphamide, chlornaphazine, and 1-propranol-3,3'-iminodimethane sulfonate) on the activation of guanylate cyclase by nitroso chemical carcinogens. The anticancer chemotherapeutic agents noncompetitively blocked the activation of rat hepatic guanylate cyclase by N'-nitro-N-nitroso-N-propylguanidine (NNPG) and hydrazine. Adriamycin, methotrexate, and uracil mustard were the most effective inhibitors completely abolishing the effect of 1 mM NNPG on guanylate cyclase activity. The remainder of the anticancer chemotherapeutic agents abolished the NNPG activation of guanylate cyclase 40--70%. Since a previously described guanylate cyclase inhibitor has been shown to terminate the growth of an undifferentiated prostatic cancer in tissue culture the present data may indicate that one of the mechanisms by which anticancer chemotherapeutic agents exert their effects is by inhibition of tumor guanylate cyclase activity.

Alkylating Agents

Enhancement of the cancer chemotherapeutic effect by anticancer agents in the form of fat emulsion.

Utilizing the lipid-adsorbing ability of lymphatic capillaries, anticancer agents were given in the form of fat emulsion in order to deliver them to regional lymph nodes. The emulsion, in which the drug solution is contained as the innermost phase, yielded high drug concentration in the lymphatic system. Intratumoral injection of emulsified anticancer agent resulted in significantly prolonged retension of the drug within the tumor tissue. Therapeutic experiments of the emulsion also disclosed remarkable tumor reduction and cure rate as compared with aqueous solution of drugs. Oral administration of emulsified 5-Fluorouracil (5-FU) was also attempted for stomach cancer. With 5-FU, the maximum concentration of drug in thoracic lymph and stomach was greater when administered as an emulsion than as an aqueous solution, and a high concentration persisted longer. As a clinical trial of the emulsion method, eight patients with inoperable malignant growth were injected locally with emulsified anticancer agents and 121 patients were given 5-FU emulsion orally. From the clinical and histological findings, it was thought that the emulsion enhanced the chemotherapeutic effect of the anticancer agent on lymph node metastasis.

Adenocarcinoma

Synthesis and anticancer activity of novel cyclic N-hydroxyureas.

To overcome the disadvantages of hydroxyurea in anticancer therapy such as fast biotransformation and low potency, five cyclic N-hydroxyureas were synthesized. A new reaction was developed to prepare the desired products from the appropriate alkyl omega-haloalkylcarbamates with hydroxylamine. This reaction probably involves a two-step mechanism: nucleophilic substitution and intramolecular cyclization. The anticancer screening tests of these compounds were done both in vitro using tissue culture and in vivo. One compound, 1-hydroxy-1,3-diazacylohexan-2-one, had anticancer activity comparable to hydroxyurea both in vivo and in vitro.

Animals

Effects of anticancer agents of the intestinal epithelium. A morphologic study.

In order to make clear the pathophysiology of digestive symptoms which are caused with anticancer agents, three anticancer agents, i.e., mitomycin C, 5-FU and cytosine arabinoside were administered pre-operatively, and the ultrastructure of the intestinal epithelium, especially that of absorptive cells, were studied on the specimens collected intra-operatively. In view of the finding that severe degeneration occurred inside cytoplasms, chiefly their nuclei, it was surmised that the biosynthesis and supply of proteins such as digestive enzymes were not amply carried on; hence, the chemotherapy could give rise to severe digestion and absorption disorders. It appeared necessary to further study the dosage and dosage schedule of the anticancer agents, along with the necessity for taking ample care of patients presenting such disorders.

Antineoplastic Agents

Cytocidal action of anticancer antigens: evaluation of the sensitivity of cultured animal and human cancer cells.

The cultured cell lines Yoshida ascites sarcoma, L-1210 mouse leukemia, OAT cell line derived from human lung cancer of the oat cell type, and P3HR-1 cell line derived from Burkitt's lymphoma have been used for the cell-killing kinetics study of anticancer agents and evaluation of the sensitivity of cells using the soft agar cloning assay method. It has been found that there are 2 types of actions: 1) Type I (cytocidal and concentration-dependent action). The dose survival curves of Type I agents fit the equation log S=log nminuskD (S, surviving fraction; D, concentration of agents; n and k are constant). The sensitivity of cells can be expressed by mean lethal dose 90% (MLD90=1/k). Four cell lines were compared on this basis, and some problems concerning the chemotherapy of human cancer are discussed. Alkylating agents and anticancer antibiotics belonged to this group.2) Type II (cytostatic and time-dependent action). The dose survival curves fit the Gompertz equation S=exp[(minusbeta/alpha)(1minus e-aD)] (beta, population reduction parameter; alpha, constant). The exposure survival curve is negative exponential, indicating that exposure time rather than concentration is the key fo effective cell killing of Type II agents. Difficulties in expression of sensitivity to Type II agents are discussed. Antimetabolites, Vinca alkaloids, and L-asparaginase belonged to this group. The cell-killing kinetics of anticancer agents and comparison of the sensitivity of cells may provide some indications not only of optimal dosage schedules but also of a new approach in screening systems for truly effective agents for human cancer.

Alkylating Agents

Proliferation-dependent cytotoxicity of anticancer agents: a review.

One of the factors of importance in determining the killing of mammalian cells following exposure to a variety of anticancer agents is the proliferative state of the cell population. Generally, proliferating cells are much more sensitive to anticancer agents than are nonproliferating cells. In this review, the cellular aspects of this differential sensitivity are discussed with the hemopoietic stem cell population and tissue culture cells as the focus for the analysis. This phenomenon is not only of concern to the cell biologist but also has implications with regard to scheduling of anticancer agents against human tumors.

Animals

Chemical characterization and biological activity of an anticancer agent of marine origin.

Clinical interest in the pharmacology of medicinals from marine organisms has heightened due to anticancer effects indicated for Mercenaria marine clam components. This report further characterizes the anticancer principle. Hydrophilic products were extracted by aqueous and/or salting-out methods followed by dialysis. Organic solvent extraction produced a new family of active agents related to the hydrophilic component. Thin layer and liquid column chromatography as well as enzymatic degradation were used to secure a more pure product for analysis. Assay included P388 leukemia and B16 melanoma. Oligonucleotide fractions and smaller components were observed to increase survival rate; treated mice remained at 67% survival when control animals had reached zero. A many-fold purified product was effectively reduced from 300 mg/kg body weight to 5 mg/kg to achieve anticancer activity. Chemical analysis suggested a product composed of carbohydrate, phosphate, peptide, and an unidentified material. Acid hydrolysis revealed the presence of hexoses, pentoses, and a full spectrum of amino acids. Several distinct components found to comprise the active samples may act as the effective product or as a carrier.

Animals

Distribution of anticancer activity in higher plants.

The systematic distribution in higher plants of general anticancer activity, high-interest anticancer activity, and high-interest compounds is presented. Special emphasis is placed on those taxonomic groups offering, by virtue of their high-interest activity and/or compounds, the greatest potential as sources of useful anticancer agents.

Animals

Biogenic Synthesis and Characterization of Hypecoum pendulum Mediated Silver Nanoparticles: Revealed Outstanding Anticancer and Genotoxic Potentials.

Fabrication of silver nanoparticles by green approach is the most effective and eco-friendly technique in recent technologies. The current study aimed to generate a simple, valid, and justifiable method for biogenic synthesis of silver nanoparticles (HP-AgNPs) using aqueous extract of Hypecoum pendulum L.(HP) and to assess their in vitro anticancer and genotoxic potentials on baby hamster kidney cell (BHK-21) and human blood lymphocytes using 3-(4,5-dimethylthiazol-2-yl-)-2,5-di-phenyltetrazolium bromide (MTT) and alkaline comet assay, respectively. HP-AgNP characterization was done using UV-vis spectrometry, EDX, SEM, XRD, and FTIR techniques. The crystalline nature of HP-AgNPs with a particle size of 36.3 nm was assessed using the XRD technique. The surface morphologies with a particle size of 80 nm were verified by SEM analysis. UV spectroscopy verified the existence of HP-AgNPs by yielding a sharp peak at 417 nm with an absorbance intensity of 1.54. FTIR assessment revealed the existence of different functional moieties that contribute to the HP-AgNPs stabilization and reduction. Similarly, EDX analysis revealed Ag as a principal element (49%). MTT assay showed significant cytotoxicity by Doxorubicin and HP-AgNPs with a smaller IC50 value of 104.21 ± 4.33 and 134.91 ± 6.33 μg/mL correlated to HP extract (229.84 ± 4.66 μg/mL). The outcomes of the comet assay revealed potential DNA damage in a positive trend with concentration (25-600 μg/mL). HP-AgNP-treated lymphocytes showed higher DNA damage as compared to HP extract-treated cells, but less damage as compared to a positive control, H2O2. These outcomes showed that HP-AgNPs have demonstrated promising anticancer and genotoxic action than HP extract due to their size and shape.

Silver

Bioengineered zinc oxide nanoparticles derived from Teucrium polium as a multifunctional platform for anticancer activity, hemocompatibility, larval toxicity and photocatalytic remediation.

In this study, we evaluate the physicochemical properties and the antioxidant, antimicrobial, anticancer, photocatalytic, and larvicidal activities of T. polium-mediated ZnO NPs. The synthesized ZnO NPs were characterized by UV-visible spectroscopy (absorption at 392 nm), FTIR, TEM, and XRD, confirming their successful synthesis. The antioxidant activity of ZnO NPs was evaluated using various assays: DPPH scavenging at 54% (100 µg/mL), ABTS scavenging at 63.3% (100 µg/mL), FRAP scavenging at 61.2% (100 µg/mL), and hydrogen peroxide scavenging at 65% (100 µg/mL), demonstrating concentration-dependent activity. The antibacterial properties were tested against E. coli, P. aeruginosa, K. pneumoniae, and S. aureus, with the largest inhibition zone observed for P. aeruginosa (28.3 mm at 100 µg/mL). Cytotoxicity on MCF-7 cells showed a dose-dependent decrease in cell viability, with values of 75.6%, 44%, 20%, and 8% for concentrations of 25, 50, 75, and 100 µg/mL, respectively. ROS generation and apoptosis were also observed at higher concentrations. The photocatalytic degradation of Methyl Orange was evaluated under UV irradiation, yielding 85% degradation efficiency at pH 3 with a ZnO NP concentration of 50 mg/L. The larvicidal toxicity against Aedes aegypti was significant, with LC50 values of 76.63 µg/mL for III instar and 82.74 µg/mL for IV instar larvae. The results suggest that T. polium-mediated ZnO NPs possess significant potential for therapeutic applications, including antioxidant, antimicrobial, anticancer, photocatalytic, and larvicidal activities, making them a promising candidate for biomedical and environmental applications.

Zinc Oxide

Chalcone-indole hybrid scaffolds as promising anticancer drug candidates: a mini-review.

Cancer treatment is hampered by severe systemic side effects, poor tumor selectivity, and multidrug resistance (MDR). Molecular hybridization integrates chalcone and indole, two privileged antitumor pharmacophores, into one scaffold to generate chalcone-indole hybrids that synergistically enhance antitumor potency, improve tumor targeting, and reverse MDR. This mini-review analyzes literature from 2020 to 2026 on chalcone-indole anticancer hybrids. Based on structural modification patterns, the reported hybrids are categorized into four subgroups: simple substituted, α/β-position modified, N-1 fatty acid-substituted, and multi-pharmacophore fused hybrids. For each category, we summarize structure-activity relationships (SARs), antiproliferative activity, selective toxicity, molecular mechanisms, and in vivo xenograft performance. Most lead compounds exert tumor-suppressive effects via tubulin polymerization inhibition, G2/M cell cycle arrest, ROS overaccumulation, and mitochondrial-dependent apoptosis. Representative hybrids 10a, 12a, 21a, and 25a exhibit remarkable efficacy against drug-resistant colorectal, lung, and breast tumors with favorable in vivo safety. We highlight the application potential of different subtypes for specific malignancies, including α/β-modified analogues for resistant colorectal cancer, N-1 fatty acid-platinum conjugates for platinum-resistant lung cancer, NLRP3 inhibitor 7a for oral cancer, and multi-pharmacophore fused derivatives for broad-spectrum activity. Current bottlenecks limiting clinical transformation are discussed. This review provides structural design rules for developing novel chalcone-indole targeted anticancer agents.

Humans

Oxygen consumption by acrylamide polymerization: a method for rapid screening of anticancer agents.

We have developed a rapid and sensitive method to measure oxygen consumption of tumor cells by acrylamide polymerization. This method could be used as an in vitro screen for potential chemotherapeutic agents. Previous techniques have lacked either the sensitivity or the speed required for use as an effective clinical tool. This method was modified from a technique previously developed in our laboratory for measuring oxygen in blood. Standard anticancer agents were tested against Walker 256 ascites tumor. Ascites was harvested from 20 rats on each of 50 days, incubated briefly with drugs, and acrylamide polymerization time was measured hourly. Individual controls were established for each drug-treated group, and oxygen uptake measured after one hour of incubation. Actinomycin, cyclohexamide, and cytosine arabinoside inhibited tumor cell oxygen consumption by 80%, 40%, and 30%, respectively. These results correlated with the known in vivo effects of these drugs on Walker carcinosarcoma. Therefore, this sensitive method could potentially be used directly on tumor cells removed from biopsy material so that the testing of anticancer drugs could be completed on the day of biopsy.

Acrylamides

Physiologically based pharmacokinetic models for anticancer drugs.

The rationale and history of the development of physiologically based pharmacokinetic models are briefly reviewed in this paper. The methods of model construction and the previous application of this type of model to anticancer drugs are discussed. Future research should be focused on the following areas: (1) interspecies scaling, (2) the effects of disease states on the pharmacokinetics of anticancer drugs, and (3) the applications of pharmocokinetics to the studies of growth behavior of cancer cells. The ultimate goal will be to utilize this basic information to design an optimal dosage regimen and treatment schedule for the safe and effective cancer chemotherapy of each individual patient.

Ancitabine

Transforming potential of the anticancer drug adriamycin.

A Fischer rat embryo cell system in vitro, which had been shown to be highly accurate in identifying chemical carcinogens and to have application in the study of chemicals having anticancer properties, was used to study the anticancer drug adriamycin. At a nontoxic dose adriamycin not only did not protect the cells from transformation by the carcinogen 3-methylcholanthrene, but was found in two separate experiments to act on its own as a transforming agent.

Animals

Experimental study on bone marrow CFUs following anticancer drug administration to plethoric mice.

The effect of some cycle-dependent anticancer drugs on CFUs has been studied in transfused polycythemic mice. In untreated animals during passive plethora erythropoiesis is depressed but the content of CFUs per femur remains constant. In treated plethoric mice the femural content of CFUs is similar or higher than that found in treated controls after administration of adriamycin, vinblastine, cyclophosphamide, it is lower when the mice receive azathioprine or hydroxyurea. These results suggest that suppression of erythropoiesis does not uniformly affect the susceptibility of pluripotent stem cells to anticancer drugs. Interpretation of the reported findings is difficult as it must take into account a complex interplay of a number of factors.

Animals

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.

Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. While numerous predictive methodologies for cancer drug response have been proposed, the precise prediction of an individual patient's response to drug and a thorough understanding of differences in drug responses among individuals continue to pose significant challenges. This study introduced a deep learning model PASO, which integrated transformer encoder, multi-scale convolutional networks and attention mechanisms to predict the sensitivity of cell lines to anticancer drugs, based on the omics data of cell lines and the SMILES representations of drug molecules. First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs' SMILES chemical structure information as inputs to the model. Then the model integrates various deep learning technologies multi-scale convolutional networks and transformer encoder to extract the properties of drug molecules from different perspectives, while an attention network is devoted to learning complex interactions between the omics features of cell lines and the aforementioned properties of drug molecules. Finally, a multilayer perceptron (MLP) outputs the final predictions of drug response. Our model exhibits higher accuracy in predicting the sensitivity to anticancer drugs comparing with other methods proposed recently. It is found that PARP inhibitors, and Topoisomerase I inhibitors were particularly sensitive to SCLC when analyzing the drug response predictions for lung cancer cell lines. Additionally, the model is capable of highlighting biological pathways related to cancer and accurately capturing critical parts of the drug's chemical structure. We also validated the model's clinical utility using clinical data from The Cancer Genome Atlas. In summary, the PASO model suggests potential as a robust support in individualized cancer treatment. Our methods are implemented in Python and are freely available from GitHub (https://github.com/queryang/PASO).

Deep Learning