Development of lymph node metastasis-related prognostic markers in breast cancer.

BACKGROUND: Lymph node metastasis (LNM) from Breast cancer (BC) is commonly seen in BC progression. Currently, the identification of genes linked with LNM in BC remains in mystery. METHODS: Genes related to BC LNM were screened, and a risk model was constructed based on LASSO-Cox analysis. Combined with the Kaplan-Meier curve, the ability of riskscore to distinguish different baseline characteristics was evaluated, and model was verified by the receiver operating characteristic (ROC) curve. The expression levels of prognostic marker genes were analyzed by qRT-PCR and western blot (WB). RESULTS: A higher survival rate and longer survival time in low-risk BC patients. The 1, 3 and 5 year AUC values of the training set were 0.79, 0.74, and 0.73, respectively. Results for the validation set was similar to the training set. The differentially expressed genes between the high- and low-risk groups were significantly enriched in immune pathways. In addition, the low-risk group had higher levels of immune infiltration. qRT-PCR and WB results showed that in BC, CDH10, SMR3A, POU3F2, and FABP7 were down-regulated, and LHX1 was up-regulated. CONCLUSIONS: We built a prognostic model of BC based on LNM-related genes, proffering evaluation for prognosis and precise cure of BC. SIGNIFICANCE: At present, the genes related to lymph node metastasis in BC are still largely unknown and need to be further explored. Searching for potential lymph node metastasis-related genes of BC will provide meaningful biomarkers for BC treatment. Based on TCGA-BRCA data, we established an effective 11-gene prognostic risk model that could predict patient outcomes independently. Our model could classify BC patients and distinguish patients with poor prognosis effectively. Besides, the feature genes we identified might exert a predictive function in immunotherapy. The results of this study provide a new reference for the prognosis and treatment of BC patients with lymph node metastasis.

Long noncoding RNA HOTAIR promotes breast cancer development through the lncRNA HOTAIR/miR-1/GOLPH3 axis

Background The lncRNA HOTAIR is frequently overexpressed in breast cancer tissues and plays an important role in the development of breast cancer. Here, we investigated the effect of the lncRNA HOTAIR on the biological behaviour of breast cancer cells and its molecular mechanism. Methods We investigated the level of HOTAIR in breast cancer and its clinical pathological characteristics by bioinformatic methods. Then, we evaluated the effects of HOTAIR and miRNA-1 expression on the biological behaviour of breast cancer cells by qPCR, Cell Counting Kit-8 (CCK-8) assay, clonogenic assays, Transwell assay and flow cytometry for cell proliferation, invasion migration and apoptosis, and cell cycle analysis. Finally, the target genes of the lncRNA HOTAIR/miR-1/GOLPH3 regulatory axis were validated by luciferase reports. Results The expression of HOTAIR in breast cancer tissues was significantly higher than that in normal breast tissues (P < 0.05). Silencing of HOTAIR suppressed cell proliferation, invasion and migration, promoted apoptosis and induced G1 phase block in breast cancer (P < 0.0001). We also verified that miR-1 is a target of HOTAIR and that GOLPH3 is a target of miR-1 by luciferase reporter assays (P < 0.001). Conclusions The expression of HOTAIR was significantly elevated in breast cancer tissues. Reducing the expression of HOTAIR inhibited the proliferation, invasion and migration of breast cancer cells and promoted apoptosis, and the mechanism was mainly the effect of the lncRNA HOTAIR/miR-1/GOLPH3 regulatory axis on the biological behaviour of breast cancer cells (AU)

Long noncoding RNA HOTAIR promotes breast cancer development through the lncRNA HOTAIR/miR-1/GOLPH3 axis.

BACKGROUND: The lncRNA HOTAIR is frequently overexpressed in breast cancer tissues and plays an important role in the development of breast cancer. Here, we investigated the effect of the lncRNA HOTAIR on the biological behaviour of breast cancer cells and its molecular mechanism. METHODS: We investigated the level of HOTAIR in breast cancer and its clinical pathological characteristics by bioinformatic methods. Then, we evaluated the effects of HOTAIR and miRNA-1 expression on the biological behaviour of breast cancer cells by qPCR, Cell Counting Kit-8 (CCK-8) assay, clonogenic assays, Transwell assay and flow cytometry for cell proliferation, invasion migration and apoptosis, and cell cycle analysis. Finally, the target genes of the lncRNA HOTAIR/miR-1/GOLPH3 regulatory axis were validated by luciferase reports. RESULTS: The expression of HOTAIR in breast cancer tissues was significantly higher than that in normal breast tissues (P < 0.05). Silencing of HOTAIR suppressed cell proliferation, invasion and migration, promoted apoptosis and induced G1 phase block in breast cancer (P < 0.0001). We also verified that miR-1 is a target of HOTAIR and that GOLPH3 is a target of miR-1 by luciferase reporter assays (P < 0.001). CONCLUSIONS: The expression of HOTAIR was significantly elevated in breast cancer tissues. Reducing the expression of HOTAIR inhibited the proliferation, invasion and migration of breast cancer cells and promoted apoptosis, and the mechanism was mainly the effect of the lncRNA HOTAIR/miR-1/GOLPH3 regulatory axis on the biological behaviour of breast cancer cells.

Bioinformatics analysis of sterol O⁃acyltransferase 1 gene related to hepatocellular carcinoma / 中国生物制品学杂志

@#Abstract：Objective To predict the structure and function of sterol O⁃acyltransferase 1（SOAT1）related to hepatocellular carcinoma（HCC）by using bioinformatics tools，in order to understand its mechanism as the marker and therapeutic target of S⁃Ⅲ subtype. Methods The structure，function and protein interaction of SOAT1 were predicted and analyzed by using databases or softwares such as NCBI，STRING，Protscale，SignalP，TMHMM，PSORT，SOPMA，SWISS ⁃ MODEL， NetNGlyc，NetOGlyc，Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with good stability，which was a nonclassical pathway protein with 8 transmembrane regions，mainly distributed among the cell membrane. SOAT1 was expressed in many tissues，while most of them in the adrenal gland，which showed multiple phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important role，and lipid expression was closely related to the development of cancer，indicating that the treatment of HCC may be achieved by regulating the expression of SOAT1 gene.

MiR-337-3p suppresses migration and invasion of breast cancer cells by downregulating ESRP1.

Breast cancer (BC) is a common malignant tumor in women, and a considerable number of studies show that aberrant expression of miRNA is correlated with BC development. By analyzing TCGA-BRCA database through bioinformatics method, this study disclosed that miR-337-3p was significantly low in BC tissue and might be a cancer inhibitor in BC. To explore the effect and potential mechanism of miR-337-3p in BC, qRT-PCR was used in this study to indicate that the expression of miR-337-3p was downregulated in BC cells. Then, the effects of miR-337-3p on BC cells were detected by western blot, Cell Counting Kit-8 (CCK-8), wound healing and Transwell assays. After upregulating miR-337-3p expression, the cell viability, migration, invasion and epithelial-mesenchymal transition (EMT) of BC cells were markedly inhibited while cell apoptosis remarkably increased. Besides, it was predicted and identified by bioinformatics analysis and dual-luciferase assay that ESRP1 was a target gene of miR-337-3p. Finally, the progression and EMT of BC cells were promoted after upregulating ESRP1 expression level. However, upregulating miR-337-3p as well as ESRP1 reduced the promotion on the malignant phenotype of BC cells. This result revealed that miR-337-3p could inhibit ESRP1 expression to perform its biological functions. In conclusion, it was illustrated in this study that miR-337-3p is a tumor-inhibitor of BC and plays its regulatory role via its downstream gene ESRP1.

Evaluation of the body mass index in breast cancer prognosis in a cohort of small-stature overweight patients: multi-center study in China.

BACKGROUND: Overweight and obesity have become a major health issue in the past 30 years. Several studies have already shown that obesity is significantly associated with a higher risk of developing breast cancer. However, few studies have assessed the prognostic value of the body mass index (BMI) in Asian populations. The purpose of this study was to retrospectively analyze the impact of BMI on the prognosis of breast cancer in overweight, under 160 cm tall patients from southern China. METHODS: We retrospectively analyzed data from 525 breast cancer patients diagnosed between 2003 to 2010 in a multi-center of China. After applying the exclusion criteria, 315 patients with complete data were retained. Their clinical and pathological characteristics were compared using the chi-square test. Survival analysis was performed with the Kaplan-Meier method. Univariate and multivariate analyses were performed using Cox regression to calculate hormone receptor status, HER-2 status, lymph node status, age, BMI and tumor size hazard ratio (HR), and 95% confidence intervals (95% CI). RESULTS: There was a strong correlation between BMI and age in the baseline feature analysis (P=0.001). After grouping the patients according to the molecular type of cancer, we found that in Luminal A and B, the BMI was related to age (P=0.002, P=0.010). The disease-free survival (DFS) and overall survival (OS) of patients with different BMI were not significantly different. This conclusion was also reached by pairwise comparison of subgroups. There was no significant difference in recurrence in patients from different BMI groups. We did not find a critical weight threshold associated with higher risk of recurrence. There were no statistically significant differences in treatment among the three BMI groups of overweight patients. CONCLUSIONS: We found that the BMI of Chinese breast cancer patients is related to age but not prognosis.

LncRNA SOX2OT Mediates Mitochondrial Dysfunction in Septic Cardiomyopathy.

Researches establish an indispensable role of mitochondrial dysfunction in septic cardiomyopathy. We aimed to investigate the effects of long noncoding RNA (LncRNA) SOX2 overlapping transcript (SOX2OT) on mitochondrial dysfunction in septic cardiomyopathy. We observed an obvious overexpression of SOX2OT in septic hearts and cardiomyocytes. Knockdown of SOX2OT in mice recovered the reduced cardiac function, and improved the mitochondrial membrane potential impaired by lipopolysaccharide (LPS). SOX2OT overexpressed mice showed the opposite situation. In parallel, knockdown of SOX2OT in cardiomyocytes restored the mitochondrial membrane potential, along with reduced mitochondrial reactive oxygen species production induced by LPS, while overexpression of SOX2OT reversed these effects. Mechanistically, SOX2OT could regulate mitochondrial dysfunction in septic cardiomyopathy via SOX2. In general, SOX2OT contributed to mitochondrial dysfunction progression via inhibiting SOX2 expression in septic cardiomyopathy, which may provide a new insight for treatment of septic cardiomyopathy.