"By using time-resolved analyses of scRNA-seq data, we determined the potential transitional trajectories of tumor cells and identified the metastasis-initiating subpopulations"
https://link.springer.com/article/10.1007/s11684-024-1081-7
Reading right now. The identification of cells that initiate #metastasis are of interest, although n=2 paired primary and #BoneMarrow samples may be a bit limited.
Single-cell RNA-seq reveals the transcriptional program underlying tumor progression and metastasis in neuroblastoma - Frontiers of Medicine
Neuroblastoma (NB) is one of the most common childhood malignancies. Sixty percent of patients present with widely disseminated clinical signs at diagnosis and exhibit poor outcomes. However, the molecular mechanisms triggering NB metastasis remain largely uncharacterized. In this study, we generated a transcriptomic atlas of 15 447 NB cells from eight NB samples, including paired samples of primary tumors and bone marrow metastases. We used time-resolved analysis to chart the evolutionary trajectory of NB cells from the primary tumor to the metastases in the same patient and identified a common ‘starter’ subpopulation that initiates tumor development and metastasis. The ‘starter’ population exhibited high expression levels of multiple cell cycle-related genes, indicating the important role of cell cycle upregulation in NB tumor progression. In addition, our evolutionary trajectory analysis demonstrated the involvement of partial epithelial-to-mesenchymal transition (p-EMT) along the metastatic route from the primary site to the bone marrow. Our study provides insights into the program driving NB metastasis and presents a signature of metastasis-initiating cells as an independent prognostic indicator and potential therapeutic target to inhibit the initiation of NB metastasis.