SZC010 suppresses breast cancer development by regulating the PI3K/Akt/NF-κB signaling pathway.

BACKGROUND: Breast cancer has become one of the leading causes of cancer deaths and is the most frequently diagnosed cancer among females worldwide. Despite advances in breast cancer therapy, metastatic disease in most patients will eventually progress due to the development of de novo or secondary resistance. Thus, it is extremely important to seek novel drugs with high effectiveness and low toxicity for systematic therapy. METHODS: We applied a 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay in this study to analyze and evaluate the cytotoxic activity of oleanolic acid (OA) and its derivatives in three types of breast cancer cell lines (MDA-MB-231, MCF-7, and MDA-MB-453). A flow cytometry assay was performed to access the mechanisms of apoptosis and cell cycle analysis in SZC010 in MDA-MB-453 cells. Apoptosis- and cyclin-related proteins were evaluated by western blot. The key proteins of the NF-κB and PI3K-Akt-mTOR signaling pathway were also evaluated by western blot. RESULTS: Our results revealed that all OA derivatives were more effective than OA in three types of breast cancer cell lines (MCF-7, MDA-MB-231, and MDA-MB-453). Among these seven OA derivatives, SZC010 exhibited the most potent cytotoxicity in MDA-MB-453 cells. Additionally, we observed that SZC010 treatment induced dose-and time-dependent growth inhibition in MDA-MB-453 cells. Furthermore, we demonstrated that SZC010 induced growth arrest in the G2/M phase and apoptosis by inhibition of NF-κB activation via the PI3K/Akt/mTOR signaling pathway. CONCLUSIONS: Our data indicate that the novel OA derivative, SZC010, has great potential in breast cancer therapy.

Development of a prognostic nomogram for lymph node positive HR+/HER2- breast cancer patients: a study of SEER database and a Chinese cohort.

Background: The hormone receptor+/human epidermal growth factor receptor 2- (HR+/HER2-) breast cancer (BC) patients account for the largest proportion in all patients and are still at high risk of long-range recurrence. This current study aimed to construct a prognostic nomogram to predict 3-year and 5-year BC-specific survival (BCSS) in HR+/HER2- BC patients with axillary lymph node metastasis. Methods: A total of 25,338 HR+/HER2- patients with axillary lymph node-positive BC were enrolled from the Surveillance, Epidemiology and End Results (SEER) database and randomly divided into the training (n=17,738) and validation (n=7,600) cohorts using a ratio of 7:3. Univariate and multivariable Cox regression hazards were used to build a prognostic nomogram based on the training cohort. The nomogram was validated with two independent cohorts. Receiver operating characteristic (ROC) curves and calibration plots were used to evaluate the performance of the model, and Kaplan-Meier survival analyses were applied to test the clinical utility of the risk stratification system. Results: Twelve factors including age, race, marital status, grade, T stage, N stage, radiotherapy, chemotherapy, and metastasis to the bone, brain, lung and liver were identified and incorporated to construct the nomogram (P<0.001). The area under the ROC curve (AUC) values at 3- and 5-year in the training and internal validation sets were 0.800, 0.800, 0.831 and 0.819, respectively, while those of the external set were 0.765 and 0.735, indicating a satisfactory discrimination with our nomogram. The calibration curves showed highly consistent results for the actual and predicted survival probabilities. Furthermore, patients were divided into three risk groups according to the total scores of the nomogram. The risk stratification system accurately differentiated between patients with different BCSS rates. Conclusions: We constructed the first nomogram and corresponding risk stratification system to predict the 3-year and 5-year BCSS for HR+/HER2- patients with lymph node-positive BC, indicating a satisfactory accuracy and clinical application.

A new deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition.

Using ECG signals captured by wearable devices for emotion recognition is a feasible solution. We propose a deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition. In order to address the problem of individuality differences in emotion recognition tasks, we incorporate an improved Convolutional Block Attention Module (CBAM) into the proposed deep convolutional neural network. The deep convolutional neural network is responsible for capturing ECG features. Channel attention in CBAM is responsible for adding weight information to ECG features of different channels and spatial attention is responsible for the weighted representation of ECG features of different regions inside the channel. We used three publicly available datasets, WESAD, DREAMER, and ASCERTAIN, for the ECG emotion recognition task. The new state-of-the-art results are set in three datasets for multi-class classification results, WESAD for tri-class results, and ASCERTAIN for two-category results, respectively. A large number of experiments are performed, providing an interesting analysis of the design of the convolutional structure parameters and the role of the attention mechanism used. We propose to use large convolutional kernels to improve the effective perceptual field of the model and thus fully capture the ECG signal features, which achieves better performance compared to the commonly used small kernels. In addition, channel attention and spatial attention were added to the deep convolutional model separately to explore their contribution levels. We found that in most cases, channel attention contributed to the model at a higher level than spatial attention.

Major depressive symptoms in breast cancer patients with ovarian function suppression: a cross-sectional study comparing ovarian ablation and gonadotropin-releasing hormone agonists.

BACKGROUND: Ovarian function suppression (OFS) is indicated in premenopausal women with early or metastasis breast cancer, which may be achieved with similar effect by gonadotropin-releasing hormone agonists (GnRHa) or ovarian ablation (OA). We examined whether there were differences in major depressive symptoms outcomes and its associated factors between gonadotropin-releasing hormone agonists (GnRHa) and ovarian ablation (OA) in premenopausal breast cancer patients. METHODS: Premenopausal breast cancer patients from seven hospitals who received OFS participated in the study between June 2019 and June 2020. The correlated variable was the type of ovarian suppression, categorized as either OA (n = 174) or GnRHa (n = 389). Major depressive symptoms was evaluated using the Patient Health Questionnaire (PHQ-9), and the Female Sexual Function Index questionnaire was used to assess sexual function. RESULTS: A total of 563 patients completed the surveys. The mean PHQ-9 sum score was slightly lower in the GnRHa cohort than in the OA cohort (11.4 ± 5.7 vs. 12.8 ± 5.8, P = 0.079). There were significantly fewer patients with major depressive symptoms (PHQ-9 ≥ 15) in the GnRHa cohort (31.1% vs. 40.2%, Exp (B)=1.805, P=0.004). Further, breast-conserving surgery and sexual dysfunction were negatively correlated with major depressive symptoms [mastectomy vs. breast-conserving: Exp (B) = 0.461, P <0.001;[sexual dysfunction vs. normal: Exp (B) = 0.512, P = 0.001]. CONCLUSIONS: This is the first study to demonstrate that GnRHa results in more favorable depressive symptoms outcomes than OA. Moreover, most patients preferred alternatives to their OFS treatment. These findings can contribute to improving and alleviating the adverse effects of OFS.

Ganglioside Monosialic Acid Alleviates Peripheral Neuropathy Induced by Utidelone Plus Capecitabine in Metastatic Breast Cancer From a Phase III Clinical Trial.

PURPOSE: This study aimed to assess the efficacy of utidelone, a novel genetically engineered epothilone analog, combined with capecitabine in our center and, furthermore, to identify whether ganglioside monosialic acid (GM1) improved chemotherapy-induced peripheral neurotoxicity (CIPN). METHODS: Fifty-five eligible female patients with metastatic breast cancer were enrolled in our single-center phase III BG01-1323L trial. Utidelone combined with capecitabine-induced peripheral neuropathy was analyzed, and susceptible genes were detected in a germline panel by next-generation sequencing (NGS). RESULTS: In our single-center study, median progression-free survival and overall survival (OS) improved in the utidelone plus capecitabine group (mPFS: 238 vs. 189 days, P = 0.263; OS: 20.9 vs. 12.9 months, P = 0.326). The median time to severe CIPN reported was 29 days in grade 1, 49 days in grade 2, and 103 days in grade 3. Greatly longer improvement time was indicated in grade 1 (77 vs. 20 days in grade 2, 13 days in grade 3). In the combined group, 19 patients with G2 or G3 CIPN were assigned to the GM1 group and 9 patients to the control group. After intervention, the GM1 group was reported to demonstrate a statistically lower incidence of grade 3 CIPN [GM1 group: 1 of 19 (5.3%); control group: 4 of 9 (44.4%), P = 0.026]. However, there were no statistically significant differences in germline single nucleotide polymorphism (SNP) between grade 3 and grade 1 CIPN cohorts. CONCLUSION: Ganglioside monosialic acid potentially decreases severe utidelone plus capecitabine-induced peripheral neuropathy in metastatic breast cancer, and further investigation is needed to validate the manageable efficacy of GM1 in CIPN. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, identifier NCT02253459.

Identification of Aurora Kinase A as a Biomarker for Prognosis in Obesity Patients with Early Breast Cancer.

BACKGROUND: Obesity is associated both with a higher risk of developing breast cancer, particularly in postmenopausal women, and with worse disease outcome for women of all ages. Previous investigation suggested Aurora A kinase was able to partially restore the functionalities of obese adipose-derived mesenchymal stem cells by stabilizing their primary cilia and reestablishing a balance of multiple stemness-associated genes. The association between Aurora A and obesity breast cancer is still unclear. We hypothesized that overexpression of Aurora A was associated with poor survival in obesity breast cancer and the related axis mechanism was involved. METHODS: A total of 517 primary breast cancer specimens were collected from the First Affiliated Hospital of China Medical University between January 2011 and November 2016. Our independent variable was BMI at baseline, categorized as overweight (BMI ≥25 kg/m2, as obesity cohort), and normal (18.5 ≤ BMI <25 kg/m2, as non-obesity cohort). The immunohistochemical (IHC) staining was performed with Aurora A, Survivin, MMP11, Cyclin B1, and Cathepsin L. Kaplan-Meier curve was used to analyze overall survival in our cohorts and TCGA-BRCA data (GSE3494). Log rank test was used to calculate P values. Protein-protein interaction (PPI) network analysis and MCODE model were used to analyze the Aurora-altered signal pathway from GSE78958. RESULTS: Among 517 breast patients, Aurora A-positive (staining scores ≥4) was significantly higher in obesity breast carcinoma compared with non-obesity cancer carcinoma (χ 2=9.79, P=0.002), with more frequency in hormone receptor-negative (68.4% vs 77.9%, P=0.015) and HER2-positive patients (28.7% vs 17.9%, P=0.003). High Aurora A expression was remarkably and significantly associated with overall survival (OS) (8-year OS ratio: 69.5% vs 81.1%, OR=1.76, 95% CI: 1.03~3.02, P=0.041) in obesity cohort. Interestingly, higher expression of Aurora A was not associated with a shorter overall survival time among the non-obesity breast cancer (8-year OS ratio: 81.4% vs 85.8%, OR=1.40, 95% CI: 0.79~2.45, P=0.229). As for RFS, the expression levels of Aurora A expression genes have no significance with RFS statistically in non-obesity and obesity patients. Aurora A and lymph node metastases were significantly poor prognostic factors for OS, and borderline significance was noted for high BMI. Kaplan-Meier survival analysis from TCGA database confirmed that the high Aurora A expression group had worse prognosis (HR=1.47, 95% CI: 1.14-1.90, P=0.003). The KEGG pathway enrichment results were consistent with GO biological process term analysis, in which CCNB1 was enriched for upregulated Aurora A. In our samples, Aurora A level on tumor cytoplasm had broad connections with Cyclin B1 by IHC correlation analysis (correlation coefficient = 0.227, P=0.001). CONCLUSION: Our finding demonstrates here for the first time that high expression of Aurora A was notably correlated with early recurrence and poor overall survival in obesity patients with early breast cancer. The Aurora A-Cyclin B1 axis could be a potential promising therapeutic target for cancer intervention and therapy.