Accumulated studies have provided controversial evidences of the association between Forkhead Box M1 (FOXM1) expression and survival of human solid tumors. To address this inconsistency, we performed a meta-analysis with 23 studies identified from PubMed and Medline. We found elevated FOXM1-protein expression was significantly associated with worse 3-year overall survival (OS) (OR = 3.30, 95% CI = 2.56 to 4.25, P < 0.00001) 5-year OS (OR =3.35, 95% CI = 2.64 to 4.26, P < 0.00001) and 10-year OS (OR = 5.24, 95% CI = 2.61 to 10.52, P < 0.00001) of human solid tumors. Similar results were observed when disease free survival (DFS) were analyzed. Subgroup analysis showed that FOXM1 overexpression was associated with poor prognosis of colorectal cancer, gastric cancer, hepatic cancer, lung cancer and ovarian cancer. High expression level of FOXM1 was also associated with advanced tumor stage. In conclusion, elevated FOXM1 expression is associated with poor survival in most solid tumors. FOXM1 is a potential biomarker for prognosis prediction and a promising therapeutic target in human solid tumors.

Radiation resistance is a crucial factor influencing therapeutic outcomes in colorectal cancer (CRC). Baicalein (BE), primarily derived from Scutellaria baicalensis, has demonstrated anti‐CRC properties. However, the impact of BE on the radiosensitivity of CRC remains unclear. This study aimed to evaluate the radiosensitization effects of BE and elucidate its mechanism in CRC radiotherapy. We established an in vitro radioresistant cell model (CT26‐R) using parental CRC cells (CT26) subjected to ionizing radiation (IR). CT26‐R cells were pretreated with or without BE, followed by transfection with pcDNA‐NC and pcDNA‐JAK2. The proliferation of CT26‐R cells treated with BE and IR was assessed using a colony formation assay. A CRC animal model was developed in BALB/c mice via CT26‐R cell transplantation. The radiosensitizing effect of BE on CRC was evaluated in vivo. TUNEL assay was conducted to detect apoptosis in tumor tissue. The expression levels of p‐STAT3, JAK2, PD‐L1, and SOCS3 in vitro and in vivo were measured by western blotting. Our results demonstrated that BE significantly increased radiosensitivity in vitro and in vivo and enhanced apoptosis in tumor tissues. Additionally, BE significantly downregulated the expression of p‐STAT3, JAK2, and PD‐L1, and significantly upregulated SOCS3 expression. These in vivo effects were reversed by pcDNA‐JAK2. In summary, our data suggest that BE enhances CRC radiosensitivity by inhibiting the JAK2/STAT3 pathway.

Abnormally high ecotropic viral integration site 1 (EVI1) expression has been recognized as a poor prognostic factor in acute myeloid leukemia patients. However, its prognostic impact in B cell precursor acute lymphoblastic leukemia (BCP-ALL) remains unknown. A total of 176 pediatric Ph-negative BCP-ALL patients who received at least 1 course of chemotherapy and received chemotherapy only during follow-up were retrospectively tested for EVI1 transcript levels by real-time quantitative PCR at diagnosis, and survival analysis was performed. Clinical and EVI1 expression data of 129 pediatric BCP-ALL patients were downloaded from therapeutically applicable research to generate effective treatments (TARGET) database for validation. In our cohort, the median EVI1 transcript level was 0.33% (range, 0.0068–136.2%), and 0.10% was determined to be the optimal cutoff value for patient grouping by receiver operating characteristic curve analysis. Low EVI1 expression (<0.10%) was significantly related to lower 5-year relapse-free survival (RFS) and overall survival (OS) rates (P = 0.017 and 0.018, respectively). Multivariate analysis showed that EVI1 expression <0.10% was an independent adverse prognostic factor for RFS and OS. TARGET data showed that low EVI1 expression tended to be related to a lower 5-year OS rate (P = 0.066). In conclusion, low EVI1 expression at diagnosis could predict poor outcomes in pediatric Ph-negative BCP-ALL patients receiving chemotherapy. Supplemental data for this article is available online at https://doi.org/10.1080/08880018.2021.1939818 .

Introduction. Focused ultrasound (FUS) is a non-invasive tumor therapy technology emerging in recent years, which can treat various solid tumors. However, it is unclear whether FUS can affect the pyroptosis of colon cancer (CC) cells. Here, we analyzed the effect of FUS on pyroptosis in the orthotopic CC model. Material and methods. After an orthotopic CC mouse model was constructed by injecting CT26-Luc cells, BABL/C mice were allocated to the normal, tumor, FUS, and FUS + BAY11-7082 (pyroptosis inhibitor) groups. We monitored the tumor status of the mice through in vivo fluorescence image analysis. The histopathological injury of the intestinal tissue and the expression of IL-1β, IL-18, caspase-recruitment domain (ASC), cleaved caspase-1, gasdermin D (GSDMD), and NLRP3 of the CC tumors were examined utilizing hematoxylin and eosin staining, immunohistochemical assay, and Western blot. Results. FUS restrained the fluorescence intensity of the tumors in orthotopic CC mice, while FUS-mediated suppression of the bioluminescent signal of the tumors was alleviated by BAY11-7082. FUS was found to relieve the injury of the intestinal tissues in CC mice as revealed by morphology. Furthermore, the expressions of IL-1β, IL-18, GSDMD, ASC, cleaved caspase-1, and NLRP3 of the CC tumors in the FUS group were higher than those in the tumor group, while BAY11-7082 addition partly reversed the FUS’s effects on orthotopic CC model mice. Conclusions. Our results pointed out that FUS presented anti-tumor activity in CC, and its mechanism was correlated with the promotion of pyroptosis. Introduction. Focused ultrasound (FUS) is a non-invasive tumor therapy technology emerging in recent years, which can treat various solid tumors. However, it is unclear whether FUS can affect the pyroptosis of colon cancer (CC) cells. Here, we analyzed the effect of FUS on pyroptosis in the orthotopic CC model. Material and methods. After an orthotopic CC mouse model was constructed by injecting CT26-Luc cells, BABL/C mice were allocated to the normal, tumor, FUS, and FUS + BAY11-7082 (pyroptosis inhibitor) groups. We monitored the tumor status of the mice through in vivo fluorescence image analysis. The histopathological injury of the intestinal tissue and the expression of IL-1β, IL-18, caspase-recruitment domain (ASC), cleaved caspase-1, gasdermin D (GSDMD), and NLRP3 of the CC tumors were examined utilizing hematoxylin and eosin staining, immunohistochemical assay, and Western blot. Results. FUS restrained the fluorescence intensity of the tumors in orthotopic CC mice, while FUS-mediated suppression of the bioluminescent signal of the tumors was alleviated by BAY11-7082. FUS was found to relieve the injury of the intestinal tissues in CC mice as revealed by morphology. Furthermore, the expressions of IL-1β, IL-18, GSDMD, ASC, cleaved caspase-1, and NLRP3 of the CC tumors in the FUS group were higher than those in the tumor group, while BAY11-7082 addition partly reversed the FUS’s effects on orthotopic CC model mice. Conclusions. Our results pointed out that FUS presented anti-tumor activity in CC, and its mechanism was correlated with the promotion of pyroptosis.

Background: As a powerful tool, bioinformatics analysis is playing an increasingly important role in many fields. Osteogenic differentiation is a complex biological process involving the fine regulation of numerous genes and signaling pathways. Method: Osteogenic differentiation-related genes are collected from the online databases. Then, we proposed two indexes Jaccard similarity and Sorensen-Dice similarity to measure the topological relevance of genes in the human PPI network. Furthermore, we selected three pathways involving osteoblast-related transcription factors, osteoblast differentiation, and RUNX2 regulation of osteoblast differentiation for investigation. Subsequently, we performed functional a enrichment analysis of these top-ranked genes to check whether these candidate genes identified by similarity-based metrics are enriched in some specific biological functions and states. we performed a permutation test to investigate the similarity score with four well-known osteogenic differentiation-related pathways including hedgehog signaling pathway, BMP signaling, ERK pathway, and Wnt signaling pathway to check whether these osteogenic differentiation-related pathways can be regulated by FOXA1. Lentiviral transfection was used to knockdown and overexpress gene FOXA1 in human bone mesenchymal stem cells (hBMSCs). Alkaline phosphatase (ALP) staining and Alizarin Red staining (ARS) were employed to investigate osteogenic differentiation of hBMSCs. Result: After data collection, human PPI network involving 19,344 genes is included in our analysis. After simplifying, we used Jaccard and Sorensen-Dice similarity to identify osteogenic differentiation-related genes and integrated into a final similarity matrix. Furthermore, we calculated the sum of similarity scores with these osteogenic differentiation-related genes for each gene and found 337 osteogenic differentiation-related genes are involved in our analysis. We selected three pathways involving osteoblast-related transcription factors, osteoblast differentiation, and RUNX2 regulation of osteoblast differentiation for investigation and performed functional enrichment analysis of these top-ranked 50 genes. The results collectively demonstrate that these candidate genes can indeed capture osteogenic differentiation-related features of hBSMCs. According to the novel analyzing method, we found that these four pathways have significantly higher similarity with FOXA1 than random noise. Moreover, knockdown FOXA1 significantly increased the ALP activity and mineral deposits. Furthermore, overexpression of FOXA1 dramatically decreased the ALP activity and mineral deposits. Conclusion: In summary, this study showed that FOXA1 is a novel significant osteogenic differentiation-related transcription factor. Moreover, our study has tightly integrated bioinformatics analysis with biological knowledge, and developed a novel method for analyzing the osteogenic differentiation regulatory network.