Recently, microRNAs (miRNA), small noncoding RNAs, have taken center stage in the field of human molecular oncology. However, their roles in tumor biology remain largely unknown. According to the assumption that miRNAs implicated in a specific tumor phenotype will show aberrant regulation of their target genes, we introduce an approach based on the miRNA target-dysregulated network (MTDN) to prioritize novel disease miRNAs. Target genes have predicted binding sites for any miRNA. The MTDN is constructed by combining computational target prediction with miRNA and mRNA expression profiles in tumor and nontumor tissues. Application of the proposed method to prostate cancer reveals that known prostate cancer miRNAs are characterized by a greater number of dysregulations and coregulators and the tendency to coregulate with each other and that they share a higher proportion of targets with other prostate cancer miRNAs. Support vector machine classifier, based on these features and changes in miRNA expression, is constructed and gives an average overall prediction accuracy of 0.8872 in cross-validation tests. The classifier is then applied to miRNAs in the MTDN. Functions enriched by dysregulated targets of novel predicted miRNAs are closely associated with oncogenesis. In addition, predicted cancer miRNAs within families or from different families show combinatorial dysregulation of target genes, as revealed by analysis of the MTDN modular organization. Finally, 3 miRNA target regulations are verified to hold in prostate cancer cells by transfection assays. These results show that the network-centric method could prioritize novel disease miRNAs and model how oncogenic lesions are mediated by miRNAs, providing important insights into tumorigenesis.

Nidogen-1 (NID1) has been identified as a novel candidate diagnostic biomarker of ovarian cancer in our previous study. Nevertheless, the role of NID1 in the pathogenesis of ovarian cancer is unclear. In the present study, we demonstrated that NID1 was a mesenchymal associated gene and its high expression was significantly correlated with shorter overall survival of ovarian cancer patients. The ectopic expression of NID1 in OVCAR-3 cells revealed a epithelial-mesenchymal transition (EMT) phenotype accompanied by enhancement of motility, invasiveness and cisplatin resistance, whereas the knockdown of NID1 was sufficient to convert HEY cells into epithelial phenotype with decreased capability of motility, invasiveness and cisplatin resistance. Mechanistic studies disclosed that NID1 activated ERK/MAPK signaling pathway to promote EMT. Collectively, our findings have uncovered the molecular mechanisms of NID1 in promoting ovarian cancer metastasis and chemoresistance, and provide a rationale for the therapeutic potential of NID1 suppression in ovarian cancer.

K562 cell line has been used as a model of common progenitor of erythroblasts and magakaryocytes and can be differentiated into erythroid and megakaryocytic lineages by hemin and phorbol myristate acetate (PMA) respectively. We analyzed mRNA expression in un-induced, hemin-induced and PMA-induced K562 cells by differential display reverse transcription polymerase chain reaction (DDRT-PCR) method. 314 differential expression sequence tags (ESTs) were obtained. Among them, 201 ESTs displayed up-regulation and 85 ESTs down-regulation after hemin induction, 186 ESTs showed up-regulation and 72 ESTs down-regulation after PMA induction. The differentially expressed genes included those encoding transcription factors, signaling factors, apoptosis-associated factors and others. 45 of these ESTs stand for genes whose open reading frames were found but whose functions remain unknown. 4 ESTs represent possibly new genes. Furthermore we compared differences of gene expression during hemin-induced erythroid differentiation and PMA-induced megakaryocytic differentiation and found that the expressional changes of some transcription factors and metabolism proteins are the common but the expressional changes of some signal pathways in these two differentiation processes are different. These results suggested that erythroid differentiation and megakaryocytic differentiation are associated in activation and repression of different signal pathways.

Purpose: To investigate the efficacy of fertility-sparing treatment for young women with grade 2 presumed stage IA endometrioid endometrial adenocarcinoma (EEA). Methods: We performed a retrospectively review of eight patients affected by grade 2 presumed stage IA endometrioid endometrial adenocarcinoma who underwent fertility-sparing treatment in the Peking Union Medical College Hospital between 2011 and 2018. Results: The median age of patients was 26 years (range, 22-35 years). Complete response (CR) was found in seven of the eight cases. The median time to response was 3 months (range, 3-9 months). Among patients who achieved CR, three had recurrence and were treated with second-line fertility-sparing therapy. Two of the three recurrent patients achieved CR, and one patient subsequently conceived. Pregnancies and successful deliveries were achieved in two of four patients. The average follow-up period was 31 months (range, 21-77 months). Conclusions: Fertility-sparing therapy is a feasible treatment option in patients with presumed stage IA, grade 2 endometrial cancer. Although our results are encouraging, they are based on very limited numbers, and patients should be informed the risk of tumor progression during treatment. Further evaluations are still required before recommending fertility-sparing therapy to endometrial cancer patients with more advanced disease in routine practice.