Int J Biol Macromol
May 2025
Melanoma metastasis remains a poorly understood yet fatal hallmark of cancer progression, with limited therapeutic strategies targeting its underlying mechanisms. While the transcription factor KLF12 shows paradoxical roles across malignancies, its context-dependent functions in melanoma-particularly its regulatory interplay with extracellular vesicle (EV)-driven intercellular communication-have not been systematically explored. To address this gap, we investigated how metastatic melanoma cells exploit KLF12-mediated pathways through EV cargo transfer to propagate aggressive phenotypes.
View Article and Find Full Text PDFThe mean survival of metastatic lung adenocarcinoma is less than 1 year, highlighting the urgent need to understand the mechanisms underlying its high mortality rate. The role of Extracellular vesicles (EVs) in facilitating the interactions between cancer cells and the metastatic microenvironment has garnered increasing attention. Previous studies on the role of EVs in metastasis have been primarily focused on cancer cell-derived EVs in modulating the functions of stromal cells.
View Article and Find Full Text PDFIncreasing evidence demonstrate that the significant role of long non-coding RNA (lncRNA) in metastasis and the remodeling of the tumor microenvironment. However, the precise mechanisms of lncRNAs in cancer metastasis are still poorly understood. The function of lncRNA-Mir100hg in melanoma and its involvement in mediating communication between tumor stem cells and non-stemness tumor cells remains unknown.
View Article and Find Full Text PDFBackground: Exosomes are a new class of molecular entities in the metastatic microenvironment, which can mediate bidirectional communication between cells. While exosomes-mediated interactions between tumor cells and other cell populations in the tumor microenvironment have attracted most attention, little is known about the significance of exosomes in mediating the interaction between non-stemness cancer cells and cancer stem cells during cancer progression.
Methods: The structure, sequence and downstream target miRNAs of lncRNA Mir100hg were predicted by online web resources.