Tracing tumorigenesis in a solid tumor model at single-cell resolution

Characterizing the complex composition of solid tumors is fundamental for understanding tumor initiation, progression and metastasis. While patient-derived samples provide valuable insight, they are heterogeneous on multiple molecular levels, and often originate from advanced tumor stages. Here, we...

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Published inNature communications Vol. 11; no. 1; pp. 991 - 12
Main Authors Praktiknjo, Samantha D., Obermayer, Benedikt, Zhu, Qionghua, Fang, Liang, Liu, Haiyue, Quinn, Hazel, Stoeckius, Marlon, Kocks, Christine, Birchmeier, Walter, Rajewsky, Nikolaus
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 20.02.2020
Nature Publishing Group
Nature Portfolio
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Summary:Characterizing the complex composition of solid tumors is fundamental for understanding tumor initiation, progression and metastasis. While patient-derived samples provide valuable insight, they are heterogeneous on multiple molecular levels, and often originate from advanced tumor stages. Here, we use single-cell transcriptome and epitope profiling together with pathway and lineage analyses to study tumorigenesis from a developmental perspective in a mouse model of salivary gland squamous cell carcinoma. We provide a comprehensive cell atlas and characterize tumor-specific cells. We find that these cells are connected along a reproducible developmental trajectory: initiated in basal cells exhibiting an epithelial-to-mesenchymal transition signature, tumorigenesis proceeds through Wnt-differential cancer stem cell-like subpopulations before differentiating into luminal-like cells. Our work provides unbiased insights into tumor-specific cellular identities in a whole tissue environment, and emphasizes the power of using defined genetic model systems. Understanding tumour development at a granular level is a challenge in solid tumours. Here, the authors provide a cell atlas across tumour development in a genetic model of salivary gland squamous cell carcinoma using single-cell transcriptome and epitope profiling.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-14777-0