CDK11p58, a Ser/Thr kinase that belongs to the cell division cycle 2-like 1 (CDC2L1) subfamily, is associated with cell cycle progression, tumorigenesis and apoptotic signaling. CDK11p58 is also involved in the regulation of steroid receptors, such as androgen and estrogen receptors. We previously found that CDK11p58 was abnormally expressed in prostate cancer. However, its role in breast cancer remains unclear. CDK11p58 expression was evaluated by immunohistochemical staining in a tissue array. A Transwell assay was used to detect invasion and metastasis in breast cancer cells. The TaqMan® Metastasis Gene Expression Assay was used to search for potential downstream factors in the CDK11p58 signaling pathway. qRT-PCR was used to evaluate mRNA levels, and the dual luciferase array was used to analyze promoter activity. Western blotting was used to detect the protein level. CDK11p58 expression was negatively correlated with node status (P = 0.012), relapse status (P = 0.002) and metastasis status (P = 0.023). Kaplan-Meier survival curves indicated that the disease-free survival (DFS) was significantly poor in breast cancer patients with low CDK11 expression. Interestingly, using the breast cancer cell lines ZR-75-30 and MDA-MB-231, we found that CDK11p58 was capable of repressing the migration and invasion of ERα-positive breast cancer cells, but not ERα-negative breast cancer cells, in a kinase-dependent manner. Gene expression assays demonstrated that integrin β3 mRNA was dramatically repressed by CDK11p58, and luciferase results confirmed that the integrin β3 promoter was inhibited by CDK11p58 through ERα repression. The expression of integrin β3 was highly related to ERα signaling; ERα overexpression stimulated integrin β3 expression, whereas siRNA-mediated knockdown of ERα attenuated integrin β3 expression. These data indicate that CDK11p58 is an anti-metastatic gene in ERα-positive breast cancer and that the regulation of integrin β3 by CDK11p58 via the repression of ERα signaling may constitute part of a signaling pathway underlying breast cancer invasion.

Cyclin D3, which induces progression through the G1 phase of the cell cycle, is a regulator of Cyclin-dependent kinases 4 and 6. Previous studies revealed that abnormal expression of Cyclin D3 was found in many different cancers. However, the role of Cyclin D3 in breast cancer (BC) remains unknown. The aim of this study is to examine the expression pattern of Cyclin D3 in BC and to evaluate its biological role and clinical significance in prognosis prediction. The mechanism involved is also evaluated. Immunohistochemical staining was used to detect the expression of Cyclin D3. qRT-PCR was used to detect the mRNA level of Cyclin D3 in BC tissues and BC cell lines. Transwell assay was used to examine the role of Cyclin D3 in the migration and invasion of BC cells. Mass Spectrometry was used to search for the interacting protein with Cyclin D3. Co-Immunoprecipitation assay and GST-Pull Down assay were used to validate the interaction of Cyclin D3 and its interaction protein. Through detecting Cyclin D3 expression in 243 breast cancer patients’ tissue array, we found Cyclin D3 expression was correlated with ER status (p = 0.000), PR status (p = 0.001), HER2 status (p = 0.002) and tumor differentiation (p = 0.045). The Kaplan–Meier survival curves indicated that the disease free survival (DFS) was significantly poor in high Cyclin D3 expression BC patients (p = 0.004). Furthermore, expression of Cyclin D3 was significantly associated with BC prognosis and was shown to be an independent prognostic marker in breast cancer (p = 0.028). By IHC staining and qPCR detection, Cyclin D3 expression was found to be down-regulated both in BC tissues and in BC cell lines compared with the corresponding normal controls. Further investigation showed Cyclin D3 was involved in the metastasis of BC cells and physically interacted with actin in vivo and in vitro. Our studies revealed that Cyclin D3 was upregulated in breast cancer and represented a novel predictor of BC prognosis.

Accumulating studies have focused on the oncogenic and tumor suppressive roles of the newly identified lncRNAs. A novel lncRNA BC040587 in 3q13.31 locus which exists frequent copy number alterations was found to be associated with poor survival of osteosarcoma patients. However, its role in breast cancer (BC) remains unknown. The aim of this study was to examine the expression pattern of BC040587 in BC and to evaluate its biological role and clinical significance in prediction of prognosis. Expression of BC040587 was analyzed in 20 pairs of BC cancer tissues and adjacent noncancerous tissues (ANCT), also in 151 BC tissues, 9 BC cell lines and one normal breast cell line by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Differences between groups were tested for significance using Student’s t-test (two-tailed). Then we analyzed the potential relationship between BC040587 expression and clinic pathological features of BC patients. The correlation was analyzed by SPSS software. It showed that BC040587 expression was down regulated both in BC samples and in BC cell lines compared with corresponding normal control. BC040587 expression was correlated with menopausal status (p = 0.040) and tumor differentiation (p = 0.035). The Kaplan-Meier survival curves indicated that the overall survival (OS) was significantly poor in low BC040587 expression BC patients (p = 0.023). Furthermore, expression of BC040587 was significantly associated with worse prognosis and was shown to be an independent prognostic marker breast cancer (p = 0.032). Our studies indicate that BC040587 may represent a new marker of prognosis in breast cancer. Our studies indicate that BC040587 is significantly down-regulated in BC tissues and BC cell lines. BC040587 may represent a new marker of prognosis in breast cancer.

A capillary network is needed in cancer growth and metastasis. Induction of angiogenesis represents one of the major hallmarks of cancer. CDK11p58, a Ser/Thr kinase that belongs to the Cell Division Cycle 2-like 1 (CDC2L1) subfamily is associated with cell cycle progression, tumorigenesis, sister chromatid cohesion and apoptotic signaling. However, its role in breast cancer proliferation and angiogenesis remains unclear. Tumorigenicity assays and blood vessel assessment in athymic mice were used to assess the function of CDK11p58 in tumor proliferation and angiogenesis. CCK-8 assay was used to detect breast cancer cell growth. Immunohistochemistry was used to detect the expression of vascular endothelial growth factor (VEGF), CD31 and CD34 in CDK11 positive patient breast cancer tissues. Dual-Luciferase array was used to analyze the function of CDK11p58 in the regulation of VEGF promoter activity. Western blot was used to detect related protein expression levels. CDK11p58 inhibited breast cancer growth and angiogenesis in breast cancer cells and in nude mice transplanted with tumors. Immunohistochemistry confirmed that CDK11p58 was negatively associated with angiogenesis-related proteins such as VEGF, CD31 and CD34 in breast cancer patients. Real-time PCR and dual-luciferase assay showed CDK11p58 inhibited the mRNA levels of VEGF and the promoter activity of VEGF. As CDK11p58 is a Ser/Thr kinase, the kinase-dead mutant failed to inhibit VEGF mRNA and promoter activity. Western blot analysis showed the same pattern of related protein expression. The data suggested angiogenesis inhibition was dependent on CDK11p58 kinase activity. This study indicates that CDK11p58 inhibits the growth and angiogenesis of breast cancer dependent on its kinase activity.

Purpose: Invasive micropapillary carcinoma (IMPC) is one of the rare subtypes of breast cancer. This study aimed to explore a predictive nomogram model for IMPC prognosis.Methods: A total of 1855 IMPC patients diagnosed after surgery between 2004 and 2014 were identified from the Surveillance, Epidemiology and End Results (SEER) database to build and validate nomogram. A nomogram was created based on univariate and multivariate Cox proportional hazards regression analysis. Receiver operating characteristic (ROC) curves were used to demonstrate the accuracy of the prognostic model. Decision curve analysis (DCA) was performed to evaluate the safety of the model in the range of clinical applications, while calibration curves were used to validate the prediction consistency.Results: Cox regression analysis indicated that age & GE;62 at diagnosis, negative ER status, and tumor stage were considered adverse independent factors for overall survival (OS), while patients who were married, white or of other races, received chemotherapy or radiotherapy, had a better postoperative prognosis. The nomogram accurately predicted OS with high internal and external validation consistency index (C index) (0.756 and 0.742, respectively). The areas under the ROC curve (AUCs) of the training group were 0.787, 0.774 and 0.764 for 3, 5 and 10 years, respectively, while those of the validation group were 0.756, 0.766 and 0.762, respectively. The results of both DCA and calibration curves demonstrated the good performance of the model.Conclusions: A nomogram for IMPC of the breast patients after surgery was developed to estimate 3, 5 and 10 years-OS based on independent risk factors. This model has good accuracy and consistency in predicting prognosis and has clinical application value.