Baglamis Selami, Sheraton Vivek M, van Neerven Sanne M, Logiantara Adrian, Nijman Lisanne E, Hageman Laura A, Léveillé Nicolas, Elbers Clara C, Bijlsma Maarten F, Vermeulen Louis, Krawczyk Przemek M, Lenos Kristiaan J
Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands.
Cancer Center Amsterdam, Amsterdam, the Netherlands.
iScience. 2025 Apr 10;28(5):112403. doi: 10.1016/j.isci.2025.112403. eCollection 2025 May 16.
Clonal dispersal, resulting from the intermingling of tumor cell subpopulations, is thought to be a key driver of tumor heterogeneity. Despite advances in spatial modeling of cancer biology, quantification of clonal dispersal has been challenging. This study introduces a straightforward method, relying on fluorescent cell barcoding, to quantify clonal dispersal in various and models of colorectal cancer (CRC). Our approach allows for precise localization of clones and uncovering the degree of clonal mixing across different CRC models. Our findings suggest that clonal dispersal is correlated with the expression of genes involved in epithelial-mesenchymal transition and CMS4-related signaling pathways. We further identify a dispersal gene signature, associated with intratumor heterogeneity, which is a robust clinical predictor of poor prognosis and recurrence in CRC, highlighting its potential as a prognostic marker and a putative direction for therapeutic targeting.
肿瘤细胞亚群的混合导致的克隆性扩散被认为是肿瘤异质性的关键驱动因素。尽管癌症生物学的空间建模取得了进展,但克隆性扩散的量化一直具有挑战性。本研究引入了一种基于荧光细胞条形码的简单方法,以量化不同结直肠癌(CRC)模型中的克隆性扩散。我们的方法能够精确地定位克隆,并揭示不同CRC模型中克隆混合的程度。我们的研究结果表明,克隆性扩散与上皮-间质转化和CMS4相关信号通路中涉及的基因表达相关。我们进一步确定了一个与肿瘤内异质性相关的扩散基因特征,它是CRC预后不良和复发的有力临床预测指标,突出了其作为预后标志物的潜力以及治疗靶点的潜在方向。