Research Progress on Aortic Root Aneurysms.

Aortic root aneurysms are one of the most common aortic root diseases, involving the aortic valve, aortic sinus, bilateral coronary arteries, and part of the ascending aorta. It is a life-threatening aortic disease with a high mortality rate of approximately 90%, due to aortic aneurysm rupture. Aortic valve insufficiency is one of the most common complications of aortic root aneurysms that can lead to acute left heart failure. The etiology of aortic root aneurysms is not yet completely clear and is mainly related to genetic diseases, such as Marfan syndrome and atherosclerosis. It can also occur secondary to aortic valve stenosis or a bivalve deformity. Surgery is the primary treatment for aortic root aneurysms, and aortic root replacement is a classic surgical method. However, the incidences of perioperative complications and mortality are relatively high, particularly in high-risk patients. In recent years, the anatomical structure of the aortic root has been gradually refined, and an in-depth understanding of root aneurysms has led to individualized treatment methods. Conservative drug therapy (ß-receptor blockers, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers), Bentall and modified Bentall surgeries (Button technology, Cabrol surgery, and modified Cabrol surgery), valve-sparing aortic root replacement (David and Yacoub), personalized external aortic root support, and endovascular intervention therapy have significantly improved the perioperative and long-term survival rates of patients with aortic root aneurysms. However, different treatment methods have their own advantages and disadvantages. This review aimed to summarize the current research progress and treatment of aortic root aneurysms.

Recombinant Oncolytic Adenovirus Combined with Cyclophosphamide Induces Synergy in the Treatment of Breast Cancer in vitro and in vivo.

Purpose: Oncolytic virus therapy has gradually become an integral approach in cancer treatment. We explored the therapeutic effects of the combination of a dual cancer-selective anti-tumor recombinant adenovirus (Ad-Apoptin-hTERTp-E1a) and cyclophosphamide on breast cancer cells. Methods: The inhibition of MCF-7 and MDA-MB-231 breast cancer cells by Ad-Apoptin-hTERTp-E1a (Ad-VT), cyclophosphamide, and Ad-VT + Cyclophosphamide was investigated using the CCK-8 assay. The combination index (CI) was calculated using CalcuSyn software to determine the best combination based on the inhibition rates of the different treatment combinations. The CCK-8 assay and crystal violet staining were used to detect the cytotoxicity of the combined Ad-VT and cyclophosphamide in breast cancer cells and breast epithelial cells. Subsequently, Hoechst staining, annexin V flow cytometry, and JC-1 staining were used to analyze the inhibitory pathway of Ad-VT plus cyclophosphamide on breast cancer cells. Cell migration and invasion of breast cancer cells were assessed using the cell-scratch and Transwell assays. The anti-tumor effects of different treatment groups in a tumor-bearing nude mouse model also were analyzed. Results: The treatment combination of Ad-VT (40 MOI) and cyclophosphamide (400 µM) significantly inhibited MCF-7 and MDA-MB-231 cells and reduced the toxicity of cyclophosphamide in normal cells. Ad-VT primarily induced breast cancer cell apoptosis through the endogenous apoptotic pathway. Apoptosis was significantly increased after treatment with Ad-VT plus cyclophosphamide. The combination significantly inhibited the migration and invasion of MCF-7 and MDA-MB-231 cells. The in vivo experiments demonstrated that exposure to Ad-VT plus cyclophosphamide significantly inhibited tumor growth and extended the survival time of the nude mice. Conclusion: Ad-VT plus cyclophosphamide reduced toxicity and exhibited increased efficacy in treating breast cancer cells.

Regulatory effect of microRNA-223-3p on breast cancer cell processes via the Hippo/Yap signaling pathway.

According to the 2018 global cancer statistics, the incidence and mortality rates of breast cancer are increasing gradually, which seriously threatens the health of women. MicroRNA-223-3p (miR-223-3p) can promote the proliferation and invasion of breast cancer cells. Hippo/Yes-related protein (Yap) signaling pathway activation has been found in a variety of tumors. The present study aimed to investigate the potential mechanism of miR-223-3p in breast cancer. The Cell Counting Kit-8 assay was used to detect cell viability and flow cytometry was used to detect apoptosis. The abilities of cell migration and invasion were detected using scratch and Transwell assays, as well as reverse transcription-quantitative PCR and western blotting to detect gene and protein expression, respectively. The current results demonstrated that miR-223-3p transcription levels were increased in breast cancer cells, and inhibition of miR-223-3p gene expression decreased cell proliferation, migration and invasion. Additionally, inhibition of miR-223-3p expression inhibited epithelial-mesenchymal transition (EMT) in breast cancer cells. miR-223-3p promoted cell proliferation, migration, invasion and EMT, and the western blotting results demonstrated that miR-223-3p inhibition increased the phosphorylation of Yap1 and the protein expression levels of large tumor suppressor kinase 1. In conclusion, results from the present results suggested that miR-223-3p may promote cell proliferation, migration, invasion and EMT through the Hippo/Yap signaling pathway. Therefore, miR-223-3p may be a potential biomarker for breast cancer.

Aberrantly Methylated and Expressed Genes as Prognostic Epigenetic Biomarkers for Colon Cancer.

This study aimed to identify prognostic epigenetic biomarkers for colon cancer (CC). Methylation and mRNA expression in CC samples with clinical characteristics that corresponded to those in The Cancer Genome Atlas were analyzed. Differentially methylated genes (DMGs) and differentially expressed genes (DEGs) were screened between matched tumor and nontumor tissues. Among the 415 DEGs and DMGs that significantly correlated between cytosine-phosphate-guanine (CpG) methylation and gene expression, unc-5 netrin receptor C (UNC5C), solute carrier family 35 member F (SLC35F)1, Ly6/Neurotoxin (LYNX)1, stathmin (STMN)2, slit guidance ligand (SLIT)3, cell adhesion molecule L1 like (CHL1), CAP-Gly domain containing linker protein family member 4 (CLIP4), transmembrane protein (TMEM) 255A, granzyme B (GZMB), and brain expressed X-Linked (BEX)1 were promising epigenetic biomarkers. Prediction was more accurate when models were based on the expression and/or methylation of GZMB rather than clinical stage. Comparisons of tissues with high or low GZMB expression significantly associated the DEGs with natural killer-mediated cytotoxicity, cytokine-cytokine receptor interactions, and chemokine signaling pathways. From among the 10 epigenetic biomarkers, GZMB might serve as a tumor suppressor and function in several immune-related pathways in CC. Prognostic models based on GZMB expression and/or methylation would be significant for patients with CC.

Long Non-Coding RNAs in Drug Resistance of Breast Cancer.

Breast cancer (BC) is the most common cancer and the leading cause of death in women. Advances in early diagnosis and therapeutic strategies have decreased the mortality of BC and improved the prognosis of patients to some extent. However, the development of drug resistance has limited the success rate of systemic therapies. Long non-coding RNAs (lncRNAs) are involved in drug resistance in BC via various mechanisms, which contribute to a complex regulatory network. In this review, we summarize the latest findings on the mechanisms underlying drug resistance modulated by lncRNAs in BC. In addition, we discuss the potential clinical applications of lncRNAs as targeted molecular therapy against drug resistance in BC.

CpG methylation signature predicts prognosis in breast cancer.

PURPOSE: DNA methylation can be used as prognostic biomarkers in various types of cancers. We aimed to identify a CpG methylation pattern for breast cancer. METHODS: In this study, using the microarray data from the cancer genome atlas (TCGA) and gene expression omnibus (GEO), we profiled DNA methylation between 97 healthy control samples and 786 breast cancer samples in a training cohort (from TCGA, n = 883) to build a gene classifier using a penalized regression model. We validated the prognostic accuracy of this gene classifier in an internal validation cohort (from GEO, n = 72). RESULTS: A total of 1777 differentially methylated CpGs corresponding to 1777 different methylated genes (DMGs) between breast cancer and control were chosen for this study. Subsequently, 16 CpGs were generated to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival (hazard ratio [HR], 4.674; 95% CI 2.918 to 7.487; P = 1.678e-12) than patients with low-risk scores. The prognostic accuracy was also validated in the validation cohorts. Furthermore, among patients with low-risk scores in the combined training and validation cohorts, the patients with the age > 60 years compared with the patients with the age < 60 years were associated with improved overall survival (HR 2.088, 95% CI 1.348 to 3.235; p = 7.575e-04) in patients with a high-risk score but not in patients with low-risk score (HR 1.246, 95% CI 0.515 to 3.011; p = 0.625). The patients treated with radiotherapy compared with the patients without radiotherapy were associated with improved overall survival (HR 0.418, 95% CI 0.249 to 0.703; p = 6.991e-04) in patients with a high-risk score but not in patients with low-risk score (HR 2.092, 95% CI 0.574 to 7.629; p = 0.253). For the patients with recurrence and the patients without recurrence both groups were all associated with improved overall survival (HR 7.475, 95% CI 4.333 to 12.901; p = 6.991e-04) in patients with a high-risk score and in patients with low-risk score (HR 14.33, 95% CI 4.265 to 48.17; p = 4.883e-13). CONCLUSION: The 16 CpG-based signature is useful as a biomarker in predicting prognosis for patients with breast cancer.

High-level expression, purification, and characterization of bifunctional ScFv-9R fusion protein.

Fibroblast growth factor receptor 3 (FGFR3) is a noted proto-oncogene involved in the pathogenesis of many tumors, so more and more studies focus on the potential use of receptor kinase inhibitor and therapeutic antibodies against FGFR3. In this study, we designed a novel fusion protein containing the single-chain Fv (ScFv) against FGFR3 and 9-arginine, denoted as ScFv-9R. To achieve the high-level production and soluble expression, ScFv and ScFv-9R were fused with small ubiquitin-related modifier (Sumo) by polymerase chain reaction and expressed in Escherichia coli BL21 (DE3). The recombinant bacteria was induced by 0.5 mM isopropyl-ß-D-thiogalactopyranoside for 20 h at 20 °C; supernatants of Sumo-ScFv was harvested and purified by DEAE Sepharose FF and Ni-NTA orderly, and supernatants of Sumo-ScFv-9R was harvested and purified by Ni-NTA. After cleaved by the Sumo protease, the recombinant ScFv or ScFv-9R was released from the fusion protein, respectively. The purity of ScFv or ScFV-9R was shown to be higher than 90 %, and their yield reached 3-5 mg per liter of bacterial culture. In vitro data showed that ScFV-9R can attenuate the phosphorylation of FGFR3 and ERK in the absence or presence of FGF9. Gel retardation assay showed that 1 µg of ScFv-9R could efficiently bind to about 4 pmol siRNA. Fluorescent microscope analysis showed that ScFv-9R can efficiently bind and deliver siRNA into RT112 cells. In conclusion, we use Sumo fusion system to acquire high-level production, soluble expression, and bifunctional activity of ScFv-9R in E. coli. Our results also revealed that ScFv-9R, as a novel carrier, may have potential applications in antitumor studies and pharmaceutical development.