The role of the prolactin receptor pathway in the pathogenesis of glioblastoma: what do we know so far?

Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models

Soft tissue sarcoma is an umbrella term for a group of rare cancers that are difficult to treat. In addition to surgery, neoadjuvant chemotherapy has shown the potential to downstage tumors and prevent micrometastases. However, finding effective therapeutic targets remains a research challenge. Here, a previously developed computational approach called mechanistic models of signaling pathways has been employed to unravel the impact of observed changes at the gene expression level on the ultimate functional behavior of cells. In the context of such a mechanistic model, RNA-Seq counts sourced from the Recount3 resource, from The Cancer Genome Atlas (TCGA) Sarcoma project, and non-diseased sarcomagenic tissues from the Genotype-Tissue Expression (GTEx) project were utilized to investigate signal transduction activity through signaling pathways. This approach provides a precise view of the relationship between sarcoma patient survival and the signaling landscape in tumors and their environment. Despite the distinct regulatory alterations observed in each sarcoma subtype, this study identified 13 signaling circuits, or elementary sub-pathways triggering specific cell functions, present across all subtypes, belonging to eight signaling pathways, which served as predictors for patient survival. Additionally, nine signaling circuits from five signaling pathways that highlighted the modifications tumor samples underwent in comparison to normal tissues were found. These results describe the protective role of the immune system, suggesting an anti-tumorigenic effect in the tumor microenvironment, in the process of tumor cell detachment and migration, or the dysregulation of ion homeostasis. Also, the analysis of signaling circuit intermediary proteins suggests multiple strategies for therapy.

Hormone supply to the pituitary gland: A comprehensive investigation of female‑related tumors (Review)

The hypothalamus acts on the pituitary gland after signal integration, thus regulating various physiological functions of the body. The pituitary gland includes the adenohypophysis and neurohypophysis, which differ in structure and function. The hypothalamus-hypophysis axis controls the secretion of adenohypophyseal hormones through the pituitary portal vein system. Thyroid-stimulating hormone, adrenocorticotropic hormone, gonadotropin, growth hormone (GH), and prolactin (PRL) are secreted by the adenohypophysis and regulate the functions of the body in physiological and pathological conditions. The aim of this review was to summarize the functions of female-associated hormones (GH, PRL, luteinizing hormone, and follicle-stimulating hormone) in tumors. Their pathophysiology was described and the mechanisms underlying female hormone-related diseases were investigated.

Characterization of prolactin (PRL) and PRL receptor (PRLR) in Chinese soft-shelled turtle: Molecular identification, ligand-receptor interaction and tissue distribution

Prolactin (PRL) plays crucial roles in many physiological and pathological processes through activating its specific membrane-anchored receptor (PRLR). Although this ligand-receptor pair has been extensively studied in mammals, birds and fishes, researches examining their significance is rather scarce in reptiles. Additionally, the interaction mechanism of PRL-PRLR has abortively understood across vertebrates, since two tandem repeated ligand-binding domains of PRLR have been identified in birds and few reptiles. To lay the foundation to clarify their roles and ligand-receptor interaction in reptiles, using Chinese soft-shelled turtle as model, the cDNAs containing open reading frame of PRL and PRLR were cloned. The cloned PRL consisted of 710 bp and encoded a precursor of 228 amino acid (-aa), while PRLR was 2658 bp in length and predicted to generate a 828-aa precursor. Furthermore, the recombinant PRL protein with high-purity was prepared from Escherichia coli (E. coli) strain Rosetta gamiB (DE3) by using cobalt resin. Using the 5 × STAT5-Luciferase reporter system, we found PRLR and PRLR-M2 (the PRLR-mutant lacking membrane-distal ligand-binding domain) could be dose-dependently activated by recombinant PRL, thereby triggering the intracellular JAK2-STAT5 signaling cascade, suggesting PRL-PRLR is functional in Chinese soft-shelled turtle, and the membrane-proximal ligand-binding domain of PRLR is the critical domain involving in PRL-binding. Quantitative real-time PCR revealed that PRL was predominantly and abundantly expressed in pituitary, while PRLR exhibited ubiquitous expression in all of the tissues examined. Collectively, our data indicate the PRL-PRLR pair may function in reptiles including Chinese soft-shelled turtle, in a way similar to that in birds.

The effect of circadian rhythm on prolactin/PRLR-mediated intracellular signaling profiles in vivo and in vitro

The circadian molecular Clock is an internal time-keeping system, which regulates various physiological processes. The circadian Clock may be involved in all biological processes. The circadian Clock is closely related to prolactin's activities. However, until now, the effect of circadian Clock dysregulation on PRL's bioactivities remains unclear. Clock protein is an essential component in circadian Clock and necessary for Clock function. Therefore, Clock gene knockout mice (CLOCK -/- mice) was used to explore the effect of circadian Clock dysfunction on PRL's activities. The in vitro and in vivo experimental results showed that PRLR-mediated signaling was significantly down-regulated. PRL-induced JAK2-STAT5 signaling in Clock-/- mice was significantly decreased compared to control mice in vivo. In vitro, PRL/PRLR-mediated signaling in mammary epithelial cell that Clock was knocked down by siRNA was significantly down-regulated compared to control cells. Mechanistically, the expression levels of negative regulatory molecule (the suppressor of cytokine signaling (SOCS) was upregulated in vitro and in vivo, which may be one of the factors that causes the PRL-signaling downregulation. Taken together, the current work indicates that the circadian Clock affects the PRL's activities. This finding lays the foundation for studying the relationship between the circadian Clock and PRL's biological activities.

PCLasso: a protein complex-based, group lasso-Cox model for accurate prognosis and risk protein complex discovery

For high-dimensional expression data, most prognostic models perform feature selection based on individual genes, which usually lead to unstable prognosis, and the identified risk genes are inherently insufficient in revealing complex molecular mechanisms. Since most genes carry out cellular functions by forming protein complexes-basic representatives of functional modules, identifying risk protein complexes may greatly improve our understanding of disease biology. Coupled with the fact that protein complexes have been shown to have innate resistance to batch effects and are effective predictors of disease phenotypes, constructing prognostic models and selecting features with protein complexes as the basic unit should improve the robustness and biological interpretability of the model. Here, we propose a protein complex-based, group lasso-Cox model (PCLasso) to predict patient prognosis and identify risk protein complexes. Experiments on three cancer types have proved that PCLasso has better prognostic performance than prognostic models based on individual genes. The resulting risk protein complexes not only contain individual risk genes but also incorporate close partners that synergize with them, which may promote the revealing of molecular mechanisms related to cancer progression from a comprehensive perspective. Furthermore, a pan-cancer prognostic analysis was performed to identify risk protein complexes of 19 cancer types, which may provide novel potential targets for cancer research.