Zinc finger and SCAN domain containing 1, ZSCAN1, is a novel stemness-related tumor suppressor and transcriptional repressor in breast cancer targeting TAZ.

Introduction: Cancer stem cells (CSCs) targeted therapy holds the potential for improving cancer management; identification of stemness-related genes in CSCs is necessary for its development. Methods: The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) datasets were used for survival analysis. ZSCAN1 correlated genes was identified by Spearman correlation analysis. Breast cancer stem-like cells (BCSLCs) were isolated by sorting CD44+CD24- cells from suspension cultured breast cancer (BC) spheroids. The sphere-forming capacity and sphere- and tumor-initiating capacities were determined by sphere formation and limiting dilution assays. The relative gene expression was determined by qRT-PCR, western blot. Lentivirus system was used for gene manipulation. Nuclear run-on assay was employed to examine the levels of nascent mRNAs. DNA pull-down and Chromatin immunoprecipitation (ChIP) assays were used for determining the interaction between protein and target DNA fragments. Luciferase reporter assay was used for evaluating the activity of the promoter. Results and discussion: ZSCAN1 is aberrantly suppressed in BC, and this suppression indicates a bad prognosis. Ectopic expression of ZSCAN1 inhibited the proliferation, clonogenicity, and tumorigenicity of BC cells. ZSCAN1-overexpressing BCSLCs exhibited weakened stemness properties. Normal human mammary epithelial (HMLE) cells with ZSCAN1 depletion exhibited enhanced stemness properties. Mechanistic studies showed that ZSCAN1 directly binds to -951 ~ -925bp region of WWTR1 (encodes TAZ) promoter, inhibits WWTR1 transcription, thereby inhibiting the stemness of BCSCs. Our work thus revealed ZSCAN1 as a novel stemness-related tumor suppressor and transcriptional repressor in BC.

Tumor-promoting mechanisms of macrophage-derived extracellular vesicles-enclosed microRNA-660 in breast cancer progression.

INTRODUCTION: Breast cancer metastasis is the main cause of cancer-related death in women worldwide. Current therapies have remarkably improved the prognosis of breast cancer patients but still fail to manage metastatic breast cancer. Here, the present study was set to explore the role of microRNA (miR)-660 from tumor-associated macrophages (TAMs) in breast cancer, particularly in metastasis. MATERIALS AND METHODS: We collected breast cancer tissues and isolated their polarized macrophages as well as extracellular vesicles (EVs), in which we measured the expression of miR-660, Kelch-like Protein 21 (KLHL21), and nuclear factor-κB (NF-κB) p65. Breast cancer cells were transfected with miR-660 mimic, miR-660 inhibitor, and sh-KLHL21 and then the cells were co-cultured with EVs or TAMs followed by detection of invasion and migration. Finally, mouse model of breast cancer was established to detect the effect of miR-660 or KLHL21 on metastasis by measuring the lymph node metastasis (LNM) foci in femur and lung. RESULTS: KLHL21 was poorly expressed, whereas miR-660 was highly expressed in breast cancer tissues and cells. Of note, low KLHL21 expression or high miR-660 expression was related to poor overall survival. EVs-contained miR-660 was identified to bind to KLHL21, reducing the binding between KLHL21 and inhibitor kappa B kinase ß (IKKß) to activate the NF-κB p65 signaling pathway. Interestingly, EV-loaded miR-660 from TAMs could be internalized by breast cancer cells. Moreover, silencing of KLHL21 increased the number of lung LNM foci in vivo, while EVs-contained miR-660 promoted cancerous cell invasion and migration. DISCUSSION: Taken altogether, our work shows that TAMs-EVs-shuttled miR-660 promotes breast cancer progression through KLHL21-mediated IKKß/NF-κB p65 axis.

KLF14 alleviated breast cancer invasion and M2 macrophages polarization through modulating SOCS3/RhoA/Rock/STAT3 signaling.

PURPOSE: To study the functions and underlying network of KLF14 in breast cancer invasion and tumor-associated macrophages (TAMs). METHODS: The expressions of gene or protein were assessed by qRT-PCR and western blot assays, respectively. Cell proliferation and invasion were investigated by colony formation, CCK-8 and transwell assays, respectively. Macrophage M2 polarization was identified by flow cytometry assay. The methylation level was tested by methylation Specific PCR (MSP). The molecular relationship between KLF14 and SOCS3 was validated by dual luciferase and ChIP assays. In vivo model was established to confirm effect of KLF14 on tumor growth and metastasis. RESULTS: KLF14 was downregulated in breast cancer, and its level was modified by CpG-mediated methylation. Overexpression of KLF14 significantly inhibited the proliferation and invasion of breast cancer in vitro and in vivo. Moreover, KLF14-overexpressing breast cancer cells notably reduced M2 macrophages polarization and it related promoting factor of tumor microenvironment (EGF, TGFß, MMP9 and VEGF). Mechanistically, KLF14 could positively activate SOCS3 transcription, then blocking the activation of RhoA/Rock/STAT3 signaling. Further rescue experiments identified that either SOCS3 silencing and activation of RhoA/Rock/STAT3 signaling dramatically restrained the regulatory roles of KLF14 overexpression in breast cancer invasion and M2 macrophages polarization. CONCLUSION: Collectively, KLF14 suppressed breast cancer cell invasion and M2 macrophage polarization through modulating SOCS3/RhoA/Rock/STAT3 signaling, and these findings would provide a new potential target against breast cancer.

HOXD9 transcriptionally induced UXT facilitate breast cancer progression via epigenetic modification of RND3.

BACKGROUND: Ubiquitously expressed transcript (UXT) is a prefoldin-like protein. It was reported that UXT played vital role in several cancer types. However, functional role of UXT in breast cancer need further investigation. METHODS: mRNA level or protein level of were determined by qRT-PCR or western blots. Proliferation of breast cancer cells was evaluated by CCK-8 assay and EdU assay. Migrative and invasive ability of cells were determined by wound healing assay and transwell assay. Transcriptional activation of UXT was determined by dual luciferase activity. The enrichment of H3K27me3 and EZH2 on the promoter of RND3 was evaluated by ChIP assay. The methylation of RND3 promoter was determined by MSP assay. In vivo function of UXT was evaluated by xenograft model. RESULTS: Our results indicated that UXT was elevated in breast cancer and associated with poor prognosis. HOXD9 elevated expression of UXT via transcriptional activation. UXT knockdown impaired the proliferation, migration and invasion. Rescue experiments suggested that UXT promoted malignant phenotypes of breast cancer cells via epigenetically repressing RND3. Moreover, UXT promoted tumorigeneses and metastasis of breast cancer cell in vivo. CONCLUSION: Inhibition of UXT impaired proliferation and metastasis of cancer cell via promoting RND3. Moreover, UXT epigenetically repressed the expression of RND3 via recruiting EZH2 in the promoter of RND3.

Long non-coding RNA OR3A4 promotes proliferation and migration in breast cancer.

More and more researches have shown the vital functions of long non-coding RNAs (LncRNAs) in modulating the biological progresses in tumorigenesis. OR3A4 is such a type of lncRNA. The long non-coding RNA (lncRNA) OR3A4 has recently been exposed to be exceptionally expressed and referred to the development of several cancers. Nevertheless, the biological function and clinical significance of OR3A4 in the carcinogenesis of breast cancer (BC) are still blurry. Therefore, we carried out the following study to make sure the underlying functions of OR3A4 in breast cancer. In this article, by means of qRT-PCR assay, we found that OR3A4 was over-expressed in human breast cancer tissues and cell lines and associated with clinicopathological characteristics. In addition, we also found that the silence of OR3A4 suppressed the proliferation of breast cancer cells by influencing cell cycle and apoptosis, and repressed the cell metastasis via EMT, which was contrary to the results in cells transfected with pcDNA-OR3A4. And all the functions of OR3A4 in breast cancer were realized in the transcriptional level according to the subcellular fractionation location assay. Thus, based upon all of the data above, our study might provide a better understanding of the pathogenesis of breast cancer and implied that OR3A4 might be a potent prognostic and therapeutic target in breast cancer.

Establishing reliable miRNA-cancer association network based on text-mining method.

Associating microRNAs (miRNAs) with cancers is an important step of understanding the mechanisms of cancer pathogenesis and finding novel biomarkers for cancer therapies. In this study, we constructed a miRNA-cancer association network (miCancerna) based on more than 1,000 miRNA-cancer associations detected from millions of abstracts with the text-mining method, including 226 miRNA families and 20 common cancers. We further prioritized cancer-related miRNAs at the network level with the random-walk algorithm, achieving a relatively higher performance than previous miRNA disease networks. Finally, we examined the top 5 candidate miRNAs for each kind of cancer and found that 71% of them are confirmed experimentally. miCancerna would be an alternative resource for the cancer-related miRNA identification.

A novel two-layer SVM model in miRNA Drosha processing site detection.

BACKGROUND: MicroRNAs (miRNAs) are a large class of non-coding RNAs with important functions wide spread in animals, plants and viruses. Studies showed that an RNase III family member called Drosha recognizes most miRNAs, initiates their processing and determines the mature miRNAs. The Drosha processing sites identification will shed some light on both miRNA identification and understanding the mechanism of Drosha processing. METHODS: We developed a computational method for Drosha processing site predicting, named as DroshaPSP, which employs a two-layer mathematical model to integrate structure feature in the first layer and sequence features in the second layer. The performance of DroshaPSP was estimated by 5-fold cross-validation and measured by ACC (accuracy), Sn (sensitivity), Sp (specificity), P (precision) and MCC (Matthews correlation coefficient). RESULTS: The results of testing DroshaPSP on the miRNA data of Drosophila melanogaster indicated that the Sn, Sp, and MCC thereof reach to 0.86, 0.99 and 0.86 respectively. CONCLUSIONS: We found the Shannon entropy, a chemical kinetics feature, is a significant feature in telling the true sites among the nearby sites and improving the performance.