Purpose: This article summarizes natural products that target the MAPK-signaling pathway in cancer therapy. The classification, chemical structures, and anti-cancer mechanisms of these natural products are elucidated, and comprehensive information is provided on their potential use in cancer therapy. Methods: Using the PubMed database, we searched for keywords, including “tumor”, “cancer”, “natural product”, “phytochemistry”, “plant chemical components”, and “MAPK-signaling pathway”. We also screened for compounds with well-defined structures that targeting the MAPK-signaling pathway and have anti-cancer effects. We used Kingdraw software and Adobe Photoshop software to draw the chemical compound structural diagrams. Results: A total of 131 papers were searched, from which 85 compounds with well-defined structures were selected. These compounds have clear mechanisms for targeting cancer treatment and are mainly related to the MAPK-signaling pathway. Examples include eupatilin, carvacrol, oridonin, sophoridine, diosgenin, and juglone. These chemical components are classified as flavonoids, phenols, terpenoids, alkaloids, steroidal saponins, and quinones. Conclusions: Certain MAPK pathway inhibitors have been used for clinical treatment. However, the clinical feedback has not been promising because of genomic instability, drug resistance, and side effects. Natural products have few side effects, good medicinal efficacy, a wide range of sources, individual heterogeneity of biological activity, and are capable of treating disease from multiple targets. These characteristics make natural products promising drugs for cancer treatment.

Ginsenosides from ginseng are used as a therapeutic agent for various diseases. They enhance the immunomodulatory effect in cyclophosphamide (CP)-treated tumor disease. The structural characteristics of steroidal saponins are mainly divided into protopanaxadiol-type saponin (PDS) and protopanaxatriol-type saponin (PTS). At present, few researchers have studied which kind of saponin plays a more important role, thus, we compared the prevention effect of PDS and PTS on myelosuppression mice induced by CP. The components and contents of saponin and monosaccharide were analyzed by using ultra high performance liquid chromatography-charged aerosol detector (UPLC-CAD) and reversed phase-high performance liquid chromatography (RP-HPLC), respectively. Thirty-two mice were randomly divided into four groups, including control, model (CP), CP+PDS, and CP+PTS. The mice were orally administered with PDS or PTS for 28 days and then injected with CP saline solution on 25, 26, 27, and 28 days at a dose of 50 mg × kg⁻¹. After the end of modeling, the whole blood of mice from the ophthalmic venous plexus was collected to detect routine blood tests, inflammatory cytokines, and hematopoiesis-related cytokines. Cell cycle and the apoptosis of bone marrow in the right femur were detected. The spleen and thymus were used to calculate the organ index and histological examination, and splenocytes were used to detect the percentage of CD4⁺ and CD25⁺ T cells. In the saponins analysis, PDS mainly included the Rb1, Rc, Rb2, and Rd of protopanaxadiol-type ginsenosides (accounted for 91.64%), and PTS mainly included the Re, Rg1, and Rf of protopanaxatriol-type ginsenosides (accounted for 75.46%). The animal results showed that both PDS and PTS improved the most indicators of myelosuppression mice induced by CP, including increased weight, blood cell numbers, hematopoiesis-related cytokines, and inflammatory cytokines; promoted the cell cycle of bone marrow and inhibited the apoptosis of bone marrow; elevated the spleen and thymus indexes and CD4⁺ count of splenocytes. The prevention effect of PDS was better than PTS in some indicators, such as red blood cells, hemoglobin, interleukin (IL)-1β, IL-4, IL-10, tumor necrosis factor-α, CD4⁺, and thymus index. These results suggest both PDS and PTS can prevent myelosuppression of mice induced by CP. Meanwhile, PDS and its metabolite showed higher bioavailability and bioactivity compared with PTS.

Deer antler, as the only mammalian regenerative appendage, provides an optimal model to study regenerative medicine. Antler harvested from red deer or sika deer were mainly study objects used to disclose the mechanism underlying antler regeneration over past decades. A previous study used proteomic technology to reveal the signaling pathways of antler stem cell derived from red deer. Moreover, transcriptome of antler tip from sika deer provide us with the essential genes, which regulated antler development and regeneration. However, antler comparison between red deer and sika deer has not been well studied. In our current study, proteomics were employed to analyze the biological difference of antler regeneration between sika deer and red deer. The proteomics profile was completed by searching the UniProt database, and differentially expressed proteins were identified by bioinformatic software. Thirty-six proteins were highly expressed in red deer antler, while 144 proteins were abundant in sika deer. GO and KEGG analysis revealed that differentially expressed proteins participated in the regulation of several pathways including oxidative phosphorylation, ribosome, extracellular matrix interaction, and PI3K-Akt pathway.

As one of most important traditional Chinese medicine resources, the oviduct of female Rana chensinensis (Chinese brown frog) was widely used in the treatment of asthenia after sickness or delivery, deficiency in vigor, palpitation, and insomnia. Unlike other vertebrates, the oviduct of Rana chensinensis oviduct significantly expands during prehibernation, in contrast to the breeding period. To explain this phenomenon at the molecular level, the protein expression profiles of Rana chensinensis oviduct during the breeding period and prehibernation were observed using isobaric tags for relative and absolute quantitation (iTRAQ) technique. Then, all identified proteins were used to obtain gene ontology (GO) annotation. Ultimately, KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis was performed to predict the pathway on differentially expressed proteins (DEPs). A total of 4479 proteins were identified, and 312 of them presented different expression profiling between prehibernation and breeding period. Compared with prehibernation group, 86 proteins were upregulated, and 226 proteins were downregulated in breeding period. After KEGG enrichment analysis, 163 DEPs were involved in 6 pathways, which were lysosome, RNA transport, glycosaminoglycan degradation, extracellular matrix (ECM)–receptor interaction, metabolic pathways and focal adhesion. This is the first report on the protein profiling of Rana chensinensis oviduct during the breeding period and prehibernation. Results show that this distinctive physiological phenomenon of Rana chensinensis oviduct was mainly involved in ECM–receptor interaction, metabolic pathways, and focal adhesion.