Aims: The attention for new and effective anticancer drugs but less toxic is increasing over time. Streptomyces is the most important and well-known source of their bioactive compound production with useful bioactivities. This work aimed for evaluation of the anticancer potential of methanolic extract of Streptomyces sp. strain KSF 83 against non-cancerous cell lines (CCD-841-CoN), breast (MCF-7, MDA-MB-231) and colon cancer cell lines (HT-29, HCT-116). Methodology and results: The characteristic of the strain KSF 83 was identified by morphology and 16S rRNA sequencing and results confirmed that the strain belonged to the genus of Streptomyces. The crude substance was produced via submerged fermentation from the strain and methanol solvent was used to extract the culture filtrate. Methanolic extract possessed low toxicity against CCD-841-CoN with only 18% of inhibition activity at the 400 µg/mL. Among all tested cancer cells, the methanolic extract was able to inhibit the growth of all cancer cells tested with MCF-7 was the highest anticancer activity recorded. The methanolic extract also exhibited cytotoxicity in a range of EC50 of 65.79 μg/mL to 262.40 μg/mL. This study revealed the anticancer potential of Streptomyces sp. strain KSF 83, which could be sources of prospective anticancer drugs against breast and colon cancer. Conclusion, significance and impact of study The extract of KSF 83 was non-toxic toward normal cell lines and able to inhibit the growth of breast and cancer cell lines, thus it can be a potential source of the anticancer drug against breast and colon cancer.
Antineoplastic Agents--pharmacology ; Streptomyces

Dihydroartemisinin (DHA), a semi-synthetic derivative of artemisinin, has recently shown antitumor activity in various cancer cells including cancers of cervix, pancreas, prostate, liver and neuroblastoma. Numerous studies in vivo and in vitro indicate that DHA possesses unique antitumor features and appears to be a promising chemotherapeutic agents. Here we systematically review the advances in research of anticancer of dihydroartemisinin, as well as summarize the mechanisms of its inducing apoptosis,delay cell-cycle, inhibitory cell proliferation and downregulate angiogenesis.
Animals ; Antineoplastic Agents ; pharmacology ; Artemisinins ; pharmacology ; Humans

Huaier (Trametes robiniophila) has been widely used as an adjuvant drug for cancer treatment in China. The anti-cancer effect of Huaier extract has been confirmed in liver cancer, lung cancer, breast cancer, ovarian cancer, gastric cancer, and so on. The main mechanisms by which Huaier exerts an anti-neoplastic effect include inhibition of the growth and proliferation of cancer cells, induction of apoptosis of cancer cells, suppression of angiogenesis, inhibition of the invasion and migration of cancer cells, regulation of oncogenes and tumor suppressor genes expression, improving immunity, and reversal of drug resistance in cancer cells. In order to provide references for further study and clinical application on anti-tumor effect of Huaier, the latest research progress on anti-tumor effect of Huaier in recent years is summarized in this paper.
Animals ; Antineoplastic Agents ; pharmacology ; Humans ; Trametes

Steroidal saponins have a wide range of pharmacological effects and biological activities, such as anti-tumor, antifungal, hypoglycemic, immune regulation, insecticides, etc. In the last ten years, some new structures of steroidal saponins compounds were found from natural plants, they have some new and different activities. In order to accelerate the research on the drug innovation of steroidal saponins, we summarized the new progress of the research on such compounds.
Animals ; Anti-Inflammatory Agents ; pharmacology ; Antifungal Agents ; pharmacology ; Antineoplastic Agents, Phytogenic ; pharmacology ; Humans ; Hypoglycemic Agents ; pharmacology ; Saponins ; pharmacology ; Steroids ; pharmacology

Paclitaxel, a tetracyclic diterpenoid compounds, was firstly isolated from the bark of the Pacific yew trees. Currently, as a low toxicity, high efficiency, and broad-spectrum natural anti-cancer drug, paclitaxel has been widely used against ovarian cancer, breast cancer, uterine cancer, and other cancers. As the matter of fact, natural paclitaxel from Taxus species has been proved to be environmentally unsustainable and economically unfeasible. For this reason, researchers from all over the world are devoted to searching for new ways of obtaining paclitaxel. At present, other methods, including artificial cultivation of Taxus plants, microbial fermentation, chemical synthesis, tissue and cell culture have been sought and developed subsequently. Meanwhile, the biosynthesis of paclitaxel is also an extremely attractive method. Unlike other anti-cancer drugs, paclitaxel has its unique anti-cancer mechanisms. Here, the source, production, and anti-cancer mechanisms of paclitaxel were summarized and reviewed, which can provide theoretical basis and reference for further research on the production, anti-cancer mechanisms and utilization of paclitaxel.
Antineoplastic Agents, Phytogenic/pharmacology* ; Humans ; Neoplasms/drug therapy* ; Paclitaxel/pharmacology*

Tetrahydroisoquinoline alkaloids distributed widely in the nature and some have a broad application in clinic. More attention has been paid in recent years on this type of alkaloid, owing to the diverse range of biological activities exhibited by these alkaloids and the discovery of new functional mechanisms and molecular targets underlying these activities. This article summarized the recent advances in the biological activities and functional mechanism of tetrahydroisoquinoline, which included the activities such as antitumor, antibiotic, antivirus, anti-inflammatory, anticoagulation, bronchodilation, and the action on central nervous system, with the purpose of providing some ideas in the study of biological activity of this type of alkaloid and in the search for lead-compound and rational drug design.
Animals ; Anti-Inflammatory Agents ; pharmacology ; Anticonvulsants ; pharmacology ; Antifungal Agents ; pharmacology ; Antineoplastic Agents ; pharmacology ; Antiviral Agents ; pharmacology ; Bronchodilator Agents ; pharmacology ; Central Nervous System Agents ; pharmacology ; Fibrinolytic Agents ; pharmacology ; Humans ; Neuroprotective Agents ; pharmacology ; Tetrahydroisoquinolines ; chemical synthesis ; chemistry ; pharmacology

A commonly used Chinese crude drug Allii Macrostemonis Bulbus has been shown to possess good anticancer activities and related properties such as antioxidation, nitrite scavenging, nitrosamine synthesis blocking and immune enhancement, and has been widely used as an effective auxiliary drug in the treatment of some malignant tumors. This paper systematically reviews the advances in the study of anticancer-related activities of Allii Macrostemonis Bulbus's various components such as raw juice, extracts, saponins, volatile oil, polysaccharides, nitrogen compounds, etc.
Allium ; chemistry ; Animals ; Antineoplastic Agents, Phytogenic ; pharmacology ; Antioxidants ; pharmacology ; Humans ; Oils, Volatile ; pharmacology ; Plant Extracts ; pharmacology

Different cell lines have different perturbation signals in response to specific compounds, and it is important to predict cell viability based on these perturbation signals and to uncover the drug sensitivity hidden underneath the phenotype. We developed an SAE-XGBoost cell viability prediction algorithm based on the LINCS-L1000 perturbation signal. By matching and screening three major dataset, LINCS-L1000, CTRP and Achilles, a stacked autoencoder deep neural network was used to extract the gene information. These information were combined with the RW-XGBoost algorithm to predict the cell viability under drug induction, and then to complete drug sensitivity inference on the NCI60 and CCLE datasets. The model achieved good results compared to other methods with a Pearson correlation coefficient of 0.85. It was further validated on an independent dataset, corresponding to a Pearson correlation coefficient of 0.68. The results indicate that the proposed method can help discover novel and effective anti-cancer drugs for precision medicine.
Algorithms ; Antineoplastic Agents/pharmacology* ; Cell Survival ; Pharmaceutical Preparations

The synergistic effect of drug combinations can solve the problem of acquired resistance to single drug therapy and has great potential for the treatment of complex diseases such as cancer. In this study, to explore the impact of interactions between different drug molecules on the effect of anticancer drugs, we proposed a Transformer-based deep learning prediction model-SMILESynergy. First, the drug text data-simplified molecular input line entry system (SMILES) were used to represent the drug molecules, and drug molecule isomers were generated through SMILES Enumeration for data augmentation. Then, the attention mechanism in the Transformer was used to encode and decode the drug molecules after data augmentation, and finally, a multi-layer perceptron (MLP) was connected to obtain the synergy value of the drugs. Experimental results showed that our model had a mean squared error of 51.34 in regression analysis, an accuracy of 0.97 in classification analysis, and better predictive performance than the DeepSynergy and MulinputSynergy models. SMILESynergy offers improved predictive performance to assist researchers in rapidly screening optimal drug combinations to improve cancer treatment outcomes.
Electric Power Supplies ; Neural Networks, Computer ; Antineoplastic Agents/pharmacology*

Autophagy is a crucial biological process in eukaryotes, which is involved in cell growth, survival and energy metabolism. It has been confirmed that autophagy mediates toxicity of anticancer drugs, especially in heart, liver and neuron. It is important to understand the function and mechanism of autophagy in anticancer drugs-induced toxicity. Given that autophagy is a double-edged sword in the maintenance of the function of heart, liver and neuron, the autophagy-mediated toxicity are very complicated in the body. We provide a review on the concept of autophagy and current status about autophagy-mediated toxicity of anticancer drugs. The knowledge is crucial in the basic study of anticancer drugs-induced toxicity, and provides some strategies for the development of alleviating the toxicity of anticancer drugs.
Antineoplastic Agents ; pharmacology ; toxicity ; Autophagy ; Humans ; Neoplasms ; drug therapy