Overexpression of ILK1 in breast cancer associates with poor prognosis.

Integrin-linked kinase 1 (ILK1), a member of the serine/threonine kinases, has been demonstrated to be associated with numerous biological and pathological processes. However, the role of ILK1 in breast cancer has not been thoroughly elucidated. The purpose of this study was to assess ILK1 expression and to explore its contribution to breast cancer. The ILK1 mRNA expression was measured by real-time quantitative reverse transcriptase-polymerase chain reaction. In addition, ILK1 expression was analyzed by immunohistochemistry in 163 clinicopathologically characterized breast cancer cases. The relationship between ILK1 expression and clinicopathological features was analyzed by appropriate statistics. Kaplan-Meier analysis and Cox proportional hazard regression models were used to investigate the correlation between ILK1 expression and prognosis of breast cancer patients. The relative mRNA expression of ILK1 was significantly higher in breast cancer tissues than in adjacent noncancerous tissues (P < 0.001). In addition, ILK1 expression was significantly correlated with tumor size (P = 0.016), grade (P = 0.024), stage (P = 0.029), lymph node metastases (P = 0.007), and estrogen receptor status (P = 0.002). Kaplan-Meier analysis indicated that patients with high ILK1 expression had poor overall survival (P < 0.001). Multivariate analysis showed that high ILK1 expression was an independent predictor of overall survival. In conclusion, our data suggest for the first time that the increased expression of ILK1 in breast cancer is associated significantly with aggressive progression and poor prognosis. ILK1 may be an important molecular marker for predicting the carcinogenesis, progression, and prognosis of breast cancer.

Long Non-coding RNA UCA1 Regulates SRPK1 Expression Through miR- 99b-3p in Ovarian Cancer.

BACKGROUND: Ovarian carcinoma (OC) is one of the most common malignancies of the female reproductive organs, with a low survival rate primarily due to the lack of effective methods for early diagnosis and prognosis. OBJECTIVE: In this article, our motivation is to explore the lncRNA-related network mechanisms involved in the pathogenesis of OC. METHODS: Public lncRNAs and mRNA expression datasets for OC were collected from the Gene Expression Omnibus (GEO) database. By integrated bioinformatics analysis, we constructed a UCA1-miRNA-mRNA network. We studied lncRNA-related molecular modulation mechanism in ovarian cancer cells based on MTT assay, dual luciferase reporter gene assays, quantitative realtime PCR, and western blotting. RESULTS: UCA1 was higher in ovarian tumor tissues and cells than normal tissues and cells. It was demonstrated in this study that knockdown of UCA1 inhibited ovarian cancer cell viability, which a miR-99b-3p inhibitor could reverse in vitro. Further, UCA1 was shown to regulate the expression of SRPK1 by directly binding to miR-99b-3p. CONCLUSION: These results suggest that UCA1 functions as an oncogene in ovarian cancer. Inhibition of UCA1/miR-99b-3p/SRPK1 axis may become a novel target for treating ovarian cancer.

Roles of miRNA and lncRNA in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is currently the most malignant subtype of breast cancer without effective targeted therapies, which makes its pathogenesis an important target for research. A growing number of studies have shown that non-coding RNA (ncRNA), including microRNA (miRNA) and long non-coding RNA (lncRNA), plays a significant role in tumorigenesis. This review summarizes the roles of miRNA and lncRNA in the progression, diagnosis, and neoadjuvant chemotherapy of TNBC. Aberrantly expressed miRNA and lncRNA are listed according to their roles. Further, it describes the multiple mechanisms that lncRNA shows for regulating gene expression in the nucleus and cytoplasm, and more importantly, describes lncRNA-regulated TNBC progression through complete combining with miRNA at the post-transcriptional level. Focusing on miRNA and lncRNA associated with TNBC can provide new insights for early diagnosis and treatment-they can be targeted in the future as a novel anticancer target of TNBC.

Use of liposomal doxorubicin for adjuvant chemotherapy of breast cancer in clinical practice.

Breast cancer is one of the malignant tumors with the highest morbidity and mortality. It is helpful to reduce the rate of tumor recurrence and metastasis by treating breast cancer with adjuvant chemotherapy, so as to increase the cure rate or survival of patients. In recent years, liposomes have been regarded as a kind of new carrier for targeted drugs. Being effective for enhancing drug efficacy and reducing side effects, they have been widely used for developing anticancer drugs. As a kind of anthracycline with high anticancer activity, doxorubicin can treat or alleviate a variety of malignant tumors effectively when it is used on its own or in combination with other anticancer drugs. Although liposomal doxorubicin has been extensively used in the adjuvant chemotherapy of breast cancer, its exact therapeutic efficacy and side effects have not been definitely proven. Various clinical studies have adopted different combined regimes, dosages, and staging, so their findings differ to certain extent. This paper reviews the clinical application of liposomal doxorubicin in the adjuvant chemotherapy of breast cancer and illustrates therapeutic effects and side effects of pegylated liposomal doxorubicin (PLD) and non-PLD (NPLD) in clinical research, in order to discuss the strategies for applying these drugs in such adjuvant chemotherapy, looking forward to providing references for related research and clinical treatment in terms of dosage, staging, combined regimes, and analysis methods and so on.

Differential microRNA expression by Solexa sequencing in the sera of ovarian cancer patients.

MicroRNAs are a class of small noncoding RNA which play important regulatory roles in a variety of cancers. MiRNA-specific expression profiles have been reported for several pathological conditions. In this study, we combined large scale parallel Solexa sequencing to identify 11 up-regulated miRNAs and 19 down-regulated miRNAs with computational techniques in the sera of ovarian cancer patients while using healthy serum as the control. Among the above, four miRNAs (miR-22, miR-93, miR-106b, miR-451) were validated by quantitative RT-PCR and found to be significantly aberrantly expressed in the serum of ovarian cancer patients (P<0.05). There were no significant differences between samples from cancer stage I/II and III/IV. However, the levels of miR-106b (p=0.003) and miR-451 (p=0.007) were significantly different in those patients under and over 51 yearsof age. MiR-451 and miR-93 were also specific when analyzed with reference to different levels of CA125. This study shows that Solexa sequencing provides a promising method for cancer-related miRNA profiling, and selectively expressed miRNAs could be used as potential serum-based biomarkers for ovarian cancer diagnosis.

Quantitative determination of cucumber mosaic virus genome RNAs in virions by real-time reverse transcription-polymerase chain reaction.

A real-time RT-PCR procedure using the green fluorescent dye SYBR Green I was developed for determining the absolute and relative copies of cucumber mosaic virus (CMV) genomic RNAs contained in purified virions. Primers specific to each CMV ORF were designed and selected. Sequences were then amplified with length varying from 61 to 153 bp. Using dilution series of CMV genome RNAs prepared by in vitro transcription as the standard samples, a good linear correlation was observed between their threshold cycle (Ct) values and the logarithms of the initial template amounts. The copies of genomic RNA 1, RNA 2, RNA 3 and the subgenomic RNA 4 in CMV virions were quantified by this method, and the ratios were about 1.00:1.17:3.58:5.81. These results were confirmed by Lab-on-a-chip and northern blot hybridization assays. Our work is the first report concerning the relative amounts of different RNA fragments in CMV virions as a virus with tripartite genome.