Interactome analysis reveals that C1QBP (complement component 1, q subcomponent binding protein) is associated with cancer cell chemotaxis and metastasis

Broader implications of SILAC-based proteomics for dissecting signaling dynamics in cancer

Large-scale transcriptome and epigenome analyses have been widely utilized to discover gene alterations implicated in cancer development at the genetic level. However, mapping of signaling dynamics at the protein level is likely to be more insightful and needed to complement massive genomic data. Stable isotope labeling with amino acids in cell culture (SILAC)-based proteomic analysis represents one of the most promising comparative quantitative methods that has been extensively employed in proteomic research. This technology allows for global, robust and confident identification and quantification of signal perturbations important for the progress of human diseases, particularly malignancies. The present review summarizes the latest applications of in vitro and in vivo SILAC-based proteomics in identifying global proteome/phosphoproteome and genome-wide protein-protein interactions that contribute to oncogenesis, highlighting the recent advances in dissecting signaling dynamics in cancer.

Overexpression of HABP1 correlated with clinicopathological characteristics and unfavorable prognosis in endometrial cancer

Hyaluronic acid binding protein 1 (HABP1/gC1qR/p32), a ubiquitous multifunctional protein belonging to the hyaladherin family, has been implicated in the tumorigenesis, progression, invasion, and metastasis of several malignant tumors. However, the role of HABP1 in endometrial cancer has not yet been studied. This study aimed to detect the expression of HABP1 in endometrial cancer and explore its role in the clinicopathological features and prognosis of endometrial cancer. We analyzed HABP1 expression by immunohistochemistry in 188 endometrial cancer specimens, 43 benign endometrial lesion specimens, and 41 normal endometrium specimens and assessed using Western blot analysis. Statistical analysis showed that HABP1 was overexpressed in endometrial cancer and benign endometrial lesion compared with normal endometrium (P < 0.001 and P = 0.012, respectively). In addition, HABP1 expression was significantly higher in endometrial cancer than in benign endometrial lesion (P < 0.001). High HABP1 expression was significantly associated with advanced International Federation of Gynecology and Obstetrics stage (P = 0.019), higher histologic grade (P < 0.001), deep myometrial invasion (P = 0.013), lymphovascular space invasion (P = 0.010), lymph node metastasis (P = 0.015), and recurrence (P = 0.009). Patients with high HABP1 expression had a poorer overall survival (OS) and disease-free survival (DFS) than patients with low HABP1 expression (P = 0.015 and P = 0.012, respectively). Multivariate Cox regression analysis showed that the HABP1 expression status was an independent prognostic factor of OS and DFS (P = 0.025 and P = 0.022, respectively) in patients with endometrial cancer. Our results indicated that overexpression of HABP1 may serve as a new biomarker to predict the progression and prognosis of endometrial cancer.

A role for the mitochondrial-associated protein p32 in regulation of trophoblast proliferation

p32 is a conserved eukaryotic protein which is primarily expressed in the mitochondria and regulates cell proliferation, migration and metabolism in various tissues. In this study, we sought to examine the expression and function of p32 in the human placenta. p32 was highly expressed in the syncytiotrophoblast, the underlying cytotrophoblast (CTB), the vascular endothelium and by a proportion of cells in the villous stroma in first trimester and term placenta. p32 mRNA and protein expression was significantly higher in the first trimester of pregnancy than at term, and expression in the trophoblast was significantly reduced in placentas from women with fetal growth restriction (FGR). Small interfering RNA (siRNA)-mediated knockdown of p32 in term placental explants significantly reduced the number of Ki67-positive CTB, but did not alter CTB apoptosis or necrosis. p32 knockdown increased lactate production, reduced glucose extraction from culture medium and was associated with reduced MitoTracker dye accumulation in trophoblast mitochondria. p32 knockdown was also associated with a significant reduction in expression of the mitochondrial respiratory complexes I and IV. These data suggest that p32 expression is important for CTB proliferation, via a mechanism involving regulation of normal mitochondrial function. As p32 expression is reduced in FGR placentas, this may contribute to some of the observed placental pathology, such as reduced CTB proliferation and mitochondrial dysfunction.

The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks

In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of 351 patient samples. In order to elucidate the functional relevance of the inferred network, we are performing a Gene Ontology (GO) analysis for its structural components. Our analysis reveals that most significant GO-terms we find for the breast cancer network represent functional modules of biological processes that are described by known cancer hallmarks, including translation, immune response, cell cycle, organelle fission, mitosis, cell adhesion, RNA processing, RNA splicing and response to wounding. Furthermore, by using a curated list of census cancer genes, we find an enrichment in these functional modules. Finally, we study cooperative effects of chromosomes based on information of interacting genes in the beast cancer network. We find that chromosome 21 is most coactive with other chromosomes. To our knowledge this is the first study investigating the genome-scale breast cancer network.