Cancer metastasis, the process by which tumour cells spread throughout the body and form secondary tumours at distant sites, is the leading cause of cancer-related deaths. The metastatic cascade is a highly complex process encompassing initial dissemination from the primary tumour, travel through the blood stream or lymphatic system, and the colonisation of distant organs. However, the factors enabling cells to survive this stressful process and adapt to new microenvironments are not fully characterised. Drosophila have proven a powerful system in which to study this process, despite important caveats such as their open circulatory system and lack of adaptive immune system. Historically, larvae have been used to model cancer due to the presence of pools of proliferating cells in which tumours can be induced, and transplanting these larval tumours into adult hosts has enabled tumour growth to be monitored over longer periods. More recently, thanks largely to the discovery that there are stem cells in the adult midgut, adult models have been developed. We focus this review on the development of different Drosophila models of metastasis and how they have contributed to our understanding of important factors determining metastatic potential, including signalling pathways, the immune system and the microenvironment.
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http://dx.doi.org/10.3390/cells12050677 | DOI Listing |
Cell Biol Toxicol
January 2025
Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang , Liaoning Province, China.
NFKB1, a core transcription factor critical in various biological process (BP), is increasingly studied for its role in tumors. This research combines literature reviews, meta-analyses, and bioinformatics to systematically explore NFKB1's involvement in tumor initiation and progression. A unique focus is placed on the NFKB1-94 ATTG promoter polymorphism, highlighting its association with cancer risk across diverse genetic models and ethnic groups, alongside comprehensive analysis of pan-cancer expression patterns and drug sensitivity.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
School of Medical Technology, Tianjin Medical University, Tianjin, 300203, China.
Clear cell renal cell carcinoma (ccRCC) is a highly malignant tumor characterized by a significant propensity for recurrence and metastasis. DNA methylation has emerged as a critical epigenetic mechanism with substantial utility in cancer diagnosis. In this study, multi-omics data were utilized to investigate the target genes regulated by the transcription factor MYC-associated zinc finger protein (MAZ) in ccRCC, leading to the identification of thymidine phosphorylase (TYMP) as a gene with notably elevated expression in ccRCC.
View Article and Find Full Text PDFClin Exp Med
January 2025
Department of Hematology-Oncology, Imam Hossein Educational Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
IL-27 is structurally an immune-enhancing and pleiotropic two-chain cytokine associated with IL-12 and IL-6 families. IL-27 contains two subunits, namely IL-27p28 and EBI3. A heterodimer receptor of IL-27, composed of IL27Rα (WSX1) and IL6ST (gp130) chains, mediates the IL-27 function following the activation of STAT1 and STAT3 signaling pathways.
View Article and Find Full Text PDFOphthalmol Retina
January 2025
Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Alberta, Canada.
Nucleic Acids Res
January 2025
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
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