Multiple tumors are synergistically promoted by c-Met and TRK, and blocking their cross-signalling pathway may give better effects. In this study, we developed a tyrosine kinase inhibitor 1D228, which exhibited excellent anti-tumor activity by targeting c-Met and TRK. Models in vitro, 1D228 showed a significant better inhibition on cancer cell proliferation and migration than the positive drug Tepotinib. Models in vivo, 1D228 showed robust anti-tumor effect on gastric and liver tumor growth with 94.8% and 93.4% of the TGI, respectively, comparing 67.61% and 63.9% of Tepotinib. Importantly, compared with the combination of Larotrectinib and Tepotinib, 1D228 monotherapy in MKN45 xenograft tumor models showed stronger antitumor activity and lower toxicity. Mechanistic studies showed that 1D228 can largely inhibit the phosphorylation of TRKB and c-Met. Interestingly, both kinases, TRKs and c-Met, have been found to be co-expressed at high levels in patients with gastric cancer through IHC. Furthermore, bioinformatics analysis has revealed that both genes are abnormally co-expressed in multiple types of cancer. Cell cycle analysis found that 1D228 induced G0/G1 arrest by inhibiting cyclin D1. Additionally, vascular endothelial cells also showed a pronounced response to 1D228 due to its expression of TRKB and c-Met. 1D228 suppressed the migration and tube formation of endothelial cells, which are the key functions of tumor angiogenesis. Taken together, compound 1D228 may be a promising candidate for the next generation of c-Met and TRK inhibitors for cancer treatment, and offers a novel potential treatment strategy for cancer patients with abnormal expressions of c-Met or NTRK, or simultaneous of them.

Amplification of amino acids synthesis is reported to promote tumorigenesis. The serine/glycine biosynthesis pathway is a reversible conversion of serine and glycine catalyzed by cytoplasmic serine hydroxymethyltransferase (SHMT)1 and mitochondrial SHMT2; however, the role of SHTM1 in renal cell carcinoma (RCC) is still unclear. We found that low SHMT1 expression is correlated with poor survival of RCC patients. The in vitro study showed that overexpression of SHMT1 suppressed RCC proliferation and migration. In the mouse tumor model, SHMT1 significantly retarded RCC tumor growth. Furthermore, by gene network analysis, we found several SHMT1‐related genes, among which homeobox D8 (HOXD8) was identified as the SHMT1 regulator. Knockdown of HOXD8 decreased SHMT1 expression, resulting in faster RCC growth, and rescued the SHMT1 overexpression‐induced cell migration defects. Additionally, ChIP assay found the binding site of HOXD8 to SHMT1 promoter was at the −456~−254 bp region. Taken together, SHMT1 functions as a tumor suppressor in RCC. The transcription factor HOXD8 can promote SHMT1 expression and suppress RCC cell proliferation and migration, which provides new mechanisms of SHMT1 in RCC tumor growth and might be used as a potential therapeutic target candidate for clinical treatment.

Chemotherapy is widely used to treat colorectal cancer (CRC). Despite its substantial benefits, the development of drug resistance and adverse effects remain challenging. This study aimed to elucidate a novel role of glucagon in anti‐cancer therapy. In a series of in vitro experiments, glucagon inhibited cell migration and tube formation in both endothelial and tumor cells. In vivo studies demonstrated decreased tumor blood vessels and fewer pseudo‐vessels in mice treated with glucagon. The combination of glucagon and chemotherapy exhibited enhanced tumor inhibition. Mechanistic studies demonstrated that glucagon increased the permeability of blood vessels, leading to a pronounced disruption of vessel morphology. Signaling pathway analysis identified a VEGF/VEGFR‐dependent mechanism whereby glucagon attenuated angiogenesis through its receptor. Clinical data analysis revealed a positive correlation between elevated glucagon expression and chemotherapy response. This is the first study to reveal a role for glucagon in inhibiting angiogenesis and vascular mimicry. Additionally, the delivery of glucagon‐encapsulated PEGylated liposomes to tumor‐bearing mice amplified the inhibition of angiogenesis and vascular mimicry, consequently reinforcing chemotherapy efficacy. Collectively, the findings demonstrate the role of glucagon in inhibiting tumor vessel network and suggest the potential utility of glucagon as a promising predictive marker for patients with CRC receiving chemotherapy.

Glycogen phosphorylase (GP) is an essential enzyme for glycolysis via the glycogen degradation pathway. It consists of three isoforms: PYGB (brain form), PYGL (liver form) and PYGM (muscle form). Although the abnormal expression of GP is associated with a variety of tumors, its relationship with hepatocellular carcinoma (HCC) and whether it can be used as a prognostic marker of HCC remains unclear. In the present study, the expression levels of PYGB, PYGL and PYGM were analyzed. It was found that the expression levels of PYGB in tumor tissues were higher than those in normal tissues, particularly in HCC. The high expression of PYGB (hazard ratios=1.801; 95% confidence interval: 1.266‑2.562) could predict the poor prognosis of HCC patients but not PYGL and PYGM. Inhibition of PYGB with GP inhibitor CP91149 significantly suppressed the HCC cell proliferation in the HCC cell model. In addition, combination treatment with sorafenib, a standard treatment for HCC, showed a great inhibition on tumor growth and angiogenesis. These findings suggested that PYGB may be used as a therapeutic and prognostic indicator for HCC.

Circular RNA origin recognition complex subunit 4 (circORC4; ID: hsa_circ_0004491) have been confirmed to be a novel potential biomarker of oral squamous cell carcinoma (OSCC). This study aimed to explore the molecular mechanism of circ_0004491 in OSCC progression. Levels of circ_0004491, microRNA (miR)-2278, guanine nucleotide-binding protein alpha subunit (GNAS), Bax, Bcl-2, E-cadherin and ki-67 were detected by quantitative real-time PCR, western blotting and immunohistochemistry. The proliferation of OSCC cells was measured using colony formation assay and EdU staining. Cell apoptosis and motility were detected by flow cytometry and transwell assays respectively. Interaction between miR-2278 and circ_0004491 or GNAS was predicted by bioinformatics analysis and confirmed via luciferase reporter assay and RNA immunoprecipitation assay. Xenograft tumor model was used to analyze the role of circ_0004491 in tumor growth in vivo. Circ_0004491 was downregulated in OSCC tissues and cell lines. Circ_0004491 overexpression suppressed the proliferation, migration and invasion whereas facilitated the apoptosis of OSCC cells. Circ_0004491 acted as a molecular sponge for miR-2278, and circ_0004491 overexpression-mediated effect was partly reversed by miR-2278 mimic in OSCC cells. MiR-2278 interacted with the 3'UTR of GNAS. Circ_0004491 contributed to GNAS level by sponging miR-2278 in OSCC cells. GNAS knockdown restored miR-2278 inhibitor-mediated effect in OSCC cells. Circ_0004491 overexpression repressed xenograft tumor growth in vivo. Circ_0004491 can repress OSCC progression by regulation of miR-2278/GNAS axis, providing a possible circRNA-targeted therapy for OSCC.

Protein-protein interactions (PPIs) play a key role in varies aspects of the structural and functional organization of the cell. Knowledge about them unveils the molecular mechanisms of biological processes. At the same time, the PPIs related to human malignant neoplasms can shed light on the biology behind these neoplasms. However, there is no such PPI database available so far. We constructed a database of protein-protein interactions associated with human malignant neoplasms, named HMNPPID, which contains the PPIs of 171 kinds of human malignant neoplasms. HMNPPID provides healthcare professionals with the PPIs of specific malignant neoplasm without digging into amounts of biomedical literatures, which significantly improves the efficiency of researches on the PPIs of malignant neoplasms. In addition, a visualization program, VisualPPI, is provided to facilitate the analysis of the specific PPI network for a malignant neoplasm.