ProstOmics: spatial and bulk multi-omics of prostate cancer

In this ERC-funded ProstOmics project we have used spatial and bulk multi-omics on fresh frozen prostate cancer samples to investigate cancer biology and find for biomarkers to improve patient treatment. All tissue material were collected from prostate cancer patients undergoing radical prostatectomy who had not received any prior cancer-specific treatment.Of the 498 prostate tissue samples (114 patients) included in our project, 176 samples (N=37 patients) have been analyzed with bulk transcriptomics (RNA-seq). Some of these 176 samples were also analyzed with spatial transcriptomics (n=32, N=8, Visium 10x RNA-seq) and DNA methylomics (n=96, N=24, array). All datasets include metadata for histopathological evaluation. Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.

Type: Transcriptome Sequencing
Archiver: Federated European Genome-Phenome Archive (FEGA Norway)

4 Datasets 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000000603	Spatial transcriptomics data (ST) from 32 human prostate tissue samples originating from 8 prostate cancer patients (5 patients with post-surgery relapse). The ST data was acquired using the Visium Spatial Gene Expression kit which resulted in over 20 000 spatially defined spots for the 32 tissue samples. The raw transcriptomics data is RNA-seq. The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Each ST spot has metadata such as sample origin, histology class (stroma, normal epithelium, cancer of various grading etc), number of cells and estimated cell type fractions. Patient metadata include information of age at surgery, time (months) until reported relapse, total follow-up time, pre-surgery PSA, post-surgery T-stage and metastasis status.	NextSeq 500	32
EGAD50000000604	Bulk transcriptomics data from 176 prostate tissue samples (37 patients, 27 with post-surgery relapse) that were acquired using the SENSE mRNA-Seq Library Prep Kit V2 and Illumina NextSeq 500 instrument. The raw transcriptomics data is single-read RNA-seq. The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.	NextSeq 500	176
EGAD50000000605	Bulk methylation array data from 64 prostate tissue samples from 16 patients (5 with post-surgery relapse). Methylation data were acquired using the microarray kit Illumina Infinium MethylationEPIC BeadChip (n=64 ). The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.	Infinium MethylationEPIC BeadChip	64
EGAD50000000606	Bulk methylation array data from 32 prostate tissue samples from 8 patients (3 with post-surgery relapse). Methylation data were acquired using the microarray assay Illumina Infinium MethylationEPIC v2.0 Kit. The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.	Infinium MethylationEPIC v2.0 BeadChip	32

Publications	Citations
Spatial transcriptomics reveals strong association between SFRP4 and extracellular matrix remodeling in prostate cancer. Andersen MK, Krossa S, Midtbust E, Pedersen CA, Wess M, Høiem TS, Viset T, Størkersen Ø, Nervik I, Sandsmark E, Bertilsson H, Giskeødegård GF, Rye MB, Tessem MB. Commun Biol 7: 2024 1462	1
Single cell and spatial transcriptomics highlight the interaction of club-like cells with immunosuppressive myeloid cells in prostate cancer. Kiviaho A, Eerola SK, Kallio HML, Andersen MK, Hoikka M, Tiihonen AM, Salonen I, Spotbeen X, Giesen A, Parker CTA, Taavitsainen S, Hantula O, Marttinen M, Hermelo I, Ismail M, Midtbust E, Wess M, Devlies W, Sharma A, Krossa S, Häkkinen T, Afyounian E, Vandereyken K, Kint S, Kesseli J, Tolonen T, Tammela TLJ, Viset T, Størkersen Ø, Giskeødegård GF, Rye MB, Murtola T, Erickson A, Latonen L, Bova GS, Mills IG, Joniau S, Swinnen JV, Voet T, Mirtti T, Attard G, Claessens F, Visakorpi T, Rautajoki KJ, Tessem MB, Urbanucci A, Nykter M. Nat Commun 15: 2024 9949	0

Publications

Citations

Spatial transcriptomics reveals strong association between SFRP4 and extracellular matrix remodeling in prostate cancer.
Andersen MK, Krossa S, Midtbust E, Pedersen CA, Wess M, Høiem TS, Viset T, Størkersen Ø, Nervik I, Sandsmark E, Bertilsson H, Giskeødegård GF, Rye MB, Tessem MB. Commun Biol 7: 2024 1462

Single cell and spatial transcriptomics highlight the interaction of club-like cells with immunosuppressive myeloid cells in prostate cancer.
Kiviaho A, Eerola SK, Kallio HML, Andersen MK, Hoikka M, Tiihonen AM, Salonen I, Spotbeen X, Giesen A, Parker CTA, Taavitsainen S, Hantula O, Marttinen M, Hermelo I, Ismail M, Midtbust E, Wess M, Devlies W, Sharma A, Krossa S, Häkkinen T, Afyounian E, Vandereyken K, Kint S, Kesseli J, Tolonen T, Tammela TLJ, Viset T, Størkersen Ø, Giskeødegård GF, Rye MB, Murtola T, Erickson A, Latonen L, Bova GS, Mills IG, Joniau S, Swinnen JV, Voet T, Mirtti T, Attard G, Claessens F, Visakorpi T, Rautajoki KJ, Tessem MB, Urbanucci A, Nykter M. Nat Commun 15: 2024 9949