Depression promotes breast cancer progression by regulating amino acid neurotransmitter metabolism and gut microbial disturbance.

INTRODUCTION: Breast cancer (BC) is the most prevalent type of cancer and has the highest mortality among women worldwide. BC patients have a high risk of depression, which has been recognized as an independent factor in the progression of BC. However, the potential mechanism has not been clearly demonstrated. METHODS: To explore the correlation and mechanism between depression and BC progression, we induced depression and tumor in BC mouse models. Depression was induced via chronic unpredictable mild stress (CUMS) and chronic restraint stress (CRS). Amino acid (AA) neurotransmitter-targeted metabonomics and gut microbiota 16S rDNA gene sequencing were employed in the mouse model after evaluation with behavioral tests and pathological analysis. RESULTS: The tumors in cancer-depression (CD) mice grew faster than those in cancer (CA) mice, and lung metastasis was observed in CD mice. Metabonomics revealed that the neurotransmitters and plasma AAs in CD mice were dysregulated, namely the tyrosine and tryptophan pathways and monoamine neurotransmitters in the brain. Gut microbiota analysis displayed an increased ratio of Firmicutes/Bacteroides. In detail, the abundance of f_Lachnospiraceae and s_Lachnospiraceae increased, whereas the abundance of o_Bacteroidales and s_Bacteroides_caecimuris decreased. Moreover, the gut microbiota was more closely associated with AA neurotransmitters than with plasma AA. CONCLUSION: Depression promoted the progression of BC by modulating the abundance of s_Lachnospiraceae and s_Bacteroides_caecimuris, which affected the metabolism of monoamine neurotransmitters in the brain and AA in the blood.

Sini Decoction Inhibits Tumor Progression and Enhances the Anti-Tumor Immune Response in a Murine Model of Colon Cancer.

BACKGROUND: Sini decoction (SND) is a widely used Traditional Chinese Medicine (TCM). The reports of SND application in colorectal cancer (CRC) is limited. OBJECTIVE: The objective of this study is to investigate the anti-tumor activity of SND in the treatmeant of CRC. METHODS: SND was analyzed using high-performance liquid chromatography. A CRC metastasis model was established using murine CT-26 cells. Whole-body fluorescence imaging was used to observe CRC liver metastasis. Liver morphology was determined using hematoxylin-eosin staining. Cytokine mRNA expression (interleukin-2 (IL-2), interleukin-10 (IL-10), interferon-gamma (IFN-γ), and tumor necrosis factor beta (TNF-ß)) were determined using real-time reverse transcription polymerase chain reaction. Spectral flow cytometry was used to detect mouse tumor immune subgroups. Databases were used to find potential target genes of SND. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used to identify potential signaling pathways of target genes. RESULTS: SND suppressed CRC liver metastasis and alleviated liver injury in vivo. After SND treatment, IL-2 and IFN-γ were upregulated, whereas IL-10 and TGF-ß were downregulated. Moreover, CD3+, CD8+T cells, natural killer T cells, and macrophages increased significantly after SND treatment, while CD4+CD25+T cells decreased significantly. Importantly, increasing the aconite concentration had a better anti-tumor effect. Fifty-50 compounds in SND were screened, and 611 potential target genes were identified. Functional analyses showed that the genes were associated with the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and HIF-1 signaling pathway. CONCLUSION: SND exerts anti-tumor activity by inhibiting tumor progression and enhancing antitumor immunity in mice, suggesting its application to prevent and treat CRC.

A Population-Based Study: How to Identify High-Risk T1-2 Esophageal Cancer Patients?

BACKGROUND: Due to individualized conditions of lymph node metastasis (LNM) and distant metastasis (DM), the following therapeutic strategy and diagnosis of T1-2 esophageal cancer (ESCA) patients are varied. A prediction model for identifying risk factors for LNM, DM, and overall survival (OS) of high-risk T1-2 ESCA patients is of great significance to clinical practice. METHODS: A total of 1,747 T1-2 ESCA patients screened from the surveillance, epidemiology, and end results (SEER) database were retrospectively analyzed for their clinical data. Univariate and multivariate logistic regression models were established to screen out risk factors for LNM and DM of T1-2 ESCA patients, while those of OS were screened out using the Cox regression analysis. The identified risk factors for LNM, DM, and OS were then subjected to the establishment of three nomograms, respectively. The accuracy of the nomograms was evaluated by depicting the calibration curve, and the predictive value and clinical utility were evaluated by depicting the clinical impact curve (CIC) and decision curve analysis (DCA), respectively. RESULTS: The age, race, tumor grade, tumor size, and T-stage were significant factors for predicting LNM of T1-2 ESCA patients (p < 0.05). The age, T-stage, tumor grade, and tumor size were significant factors for predicting DM of T1-2 ESCA patients (p < 0.05). The age, race, sex, histology, primary tumor site, tumor size, N-stage, M-stage, and surgery were significant factors for predicting OS of T1-2 ESCA patients (p < 0.05). The C-indexes of the three nomograms constructed by these factors were 0.737, 0.764, and 0.740, respectively, suggesting that they were clinically effective. CONCLUSIONS: The newly constructed nomograms can objectively and accurately predict the LNM, DM, and OS of T1-2 ESCA patients, which contribute to the individualized decision making before clinical management.

The RNA binding protein neuro-oncological ventral antigen 1 (NOVA1) regulates IL-6 mRNA stability to enhance JAK2-STAT3 signaling in CRC.

The molecular mechanisms governing the metastasis of colorectal cancer (CRC) are incompletely understood. In the present study, we found NOVA1 to be expressed at higher levels in CRC cell lines and tissue samples, and this upregulation was positively correlated with TNM stage (p = 0.034), poor differentiation (p = 0.001), and lymph node metastasis (p = 0.008). Both overall survival (OS) and relapse-free survival (RFS) were both significantly decreased in patients with high NOVA1 expression relative to those with low expression. Through a multivariate analysis, we determined that NOVA1 independently predicted poor outcomes in those with CRC. In further functional studies, we found that NOVA1 expression controlled the proliferation and invasive characteristics of CRC cells via a mechanism wherein NOVA1 bound and stabilized the IL6 mRNA, enhancing IL-6/JAK2/STAT3 signaling to in turn upregulate matrix metalloproteinases (MMPs) 2, 7, and 9. NOVA1 therefore plays key functional roles in regulating CRC progression, and our results further indicate that it serve as a valuable prognostic biomarker and potentially a target for therapeutic treatment in individuals with CRC.

MiR-497-5p inhibits cell proliferation and metastasis in hepatocellular carcinoma by targeting insulin-like growth factor 1.

BACKGROUND: MicroRNAs (miRNAs) play an important regulatory role in carcinogenesis and cancer progression. Aberrant expression of miR-497-5p has been reported in various human malignancies. However, the role of miR-497-5p in hepatocellular carcinoma (HCC) remains unclear. RESULTS: In this study, we found that miR-497-5p was downregulated in HCC tissues. The low level of miR-497-5p in HCC tumors was correlated with aggressive clinicopathological characteristics and predicted poor prognosis in HCC patients. The overexpression of miR-497-5p significantly inhibited HCC cell proliferation, colony formation, and metastasis in vitro and vivo. Bioinformatics analysis further identified insulin-like growth factor 1 (IGF1) as a novel target of miR-497-5p in HCC cells. CONCLUSION: Our study suggested that miR-497-5p regulates HCC cell survival, partially through downregulation of IGF1. Therefore, the miR-497-5p/IGF1 axis might serve as a novel therapeutic target in patients with HCC.