Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity.
IF: 17.694
Cited by: 316


Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today. Here we investigate tissue-wide gene expression heterogeneity throughout a multifocal prostate cancer using the spatial transcriptomics (ST) technology. Utilizing a novel approach for deconvolution, we analyze the transcriptomes of nearly 6750 tissue regions and extract distinct expression profiles for the different tissue components, such as stroma, normal and PIN glands, immune cells and cancer. We distinguish healthy and diseased areas and thereby provide insight into gene expression changes during the progression of prostate cancer. Compared to pathologist annotations, we delineate the extent of cancer foci more accurately, interestingly without link to histological changes. We identify gene expression gradients in stroma adjacent to tumor regions that allow for re-stratification of the tumor microenvironment. The establishment of these profiles is the first step towards an unbiased view of prostate cancer and can serve as a dictionary for future studies.


Spatial Transcriptomics

MeSH terms

Computational Biology
Disease Progression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Prostatic Neoplasms
RNA, Messenger
Stromal Cells
Tumor Microenvironment


Berglund, Emelie
Maaskola, Jonas
Schultz, Niklas
Friedrich, Stefanie
Marklund, Maja
Bergenstråhle, Joseph
Tarish, Firas
Tanoglidi, Anna
Vickovic, Sanja
Larsson, Ludvig
Salmén, Fredrik
Ogris, Christoph
Wallenborg, Karolina
Lagergren, Jens
Ståhl, Patrik
Sonnhammer, Erik
Helleday, Thomas
Lundeberg, Joakim

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