Genetic and immunological screening for type 1 diabetes has led to the possibility of preventing disease in susceptible individuals. Here, we show that human mesenchymal stem/stromal cells (hMSCs) and tumor necrosis factor-α–stimulated gene 6 (TSG-6), a protein produced by hMSCs in response to signals from injured tissues, delayed the onset of spontaneous autoimmune diabetes in NOD mice by inhibiting insulitis and augmenting regulatory T cells (Tregs) within the pancreas. Importantly, hMSCs with a knockdown of tsg-6 were ineffective at delaying insulitis and the onset of diabetes in mice. TSG-6 inhibited the activation of both T cells and antigen-presenting cells (APCs) in a CD44-dependent manner. Moreover, multiple treatments of TSG-6 rendered APCs more tolerogenic, capable of enhancing Treg generation and delaying diabetes in an adoptive transfer model. Therefore, these results could provide the basis for a novel therapy for the prevention of type 1 diabetes.
Mesenchymal stem or stromal cells (MSCs) have many potential therapeutic applications including therapies for cancers and tissue damages caused by cancers or radical cancer treatments. However, tissue-derived MSCs such as bone marrow MSCs (BM-MSCs) may promote cancer progression and have considerable donor variations and limited expandability. These issues hinder the potential applications of MSCs, especially those in cancer patients. To circumvent these issues, we derived MSCs from transgene-free human induced pluripotent stem cells (iPSCs) efficiently with a modified protocol that eliminated the need of flow cytometric sorting. Our iPSC-derived MSCs were readily expandable, but still underwent senescence after prolonged culture and did not form teratomas. These iPSC-derived MSCs homed to cancers with efficiencies similar to BM-MSCs but were much less prone than BM-MSCs to promote the epithelial-mesenchymal transition, invasion, stemness, and growth of cancer cells. The observations were probably explained by the much lower expression of receptors for interleukin-1 and TGFβ, downstream protumor factors, and hyaluronan and its cofactor TSG6, which all contribute to the protumor effects of BM-MSCs. The data suggest that iPSC-derived MSCs prepared with the modified protocol are a safer and better alternative to BM-MSCs for therapeutic applications in cancer patients. The protocol is scalable and can be used to prepare the large number of cells required for "off-the-shelf" therapies and bioengineering applications.
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology, Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is no denying that mathematics continues to play an increasingly prominent role in cancer research. Mathematical Oncology—defined here simply as the use of mathematics in cancer research—complements and overlaps with a number of other fields that rely on mathematics as a core methodology. As a result, Mathematical Oncology has a broad scope, ranging from theoretical studies to clinical trials designed with mathematical models. This Roadmap differentiates Mathematical Oncology from related fields and demonstrates specific areas of focus within this unique field of research. The dominant theme of this Roadmap is the personalization of medicine through mathematics, modelling, and simulation. This is achieved through the use of patient-specific clinical data to: develop individualized screening strategies to detect cancer earlier; make predictions of response to therapy; design adaptive, patient-specific treatment plans to overcome therapy resistance; and establish domain-specific standards to share model predictions and to make models and simulations reproducible. The cover art for this Roadmap was chosen as an apt metaphor for the beautiful, strange, and evolving relationship between mathematics and cancer.
Mesenchymal stem/stromal cells (MSCs) can either suppress or promote tumors. We found previously that incubation of human bone marrow MSCs (hMSCs) with TNF-α upregulated multiple genes including TRAIL, which has cancer apoptotic activity. Here, we show that weekly infusions into mice of hMSCs preactivated with TNF-α inhibited the progression of lung tumors formed from MDA-MB-231 breast cancer cells (MDA). In coculture, preactivated hMSCs induced apoptosis in MDA and several other TRAIL-sensitive cancer cell lines. TRAIL was further upregulated by apoptotic MDA cells in a TLR3-dependent manner; this feedforward cycle increased MDA cell apoptosis, and the chemotherapeutic drug doxorubicin had a synergistic effect. Also, activated hMSCs secreted DKK3 to suppress MDA cell cycling, leading to a decrease in β-catenin and cyclin D1/D3 and an increase in p21. Thus, culturing hMSCs with TNF-α enhances their tumor-suppressive properties and may represent a useful strategy to develop hMSC-based approaches for the treatment of cancer.
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