Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones

  1. Denisenko, Elena ORCID logo
  2. de Kock, Leanne ORCID logo
  3. Tan, Adeline
  4. Beasley, Aaron B ORCID logo
  5. Beilin, Maria
  6. Jones, Matthew E.
  7. Hou, Rui
  8. Ó Muirí, Dáithí
  9. Bilic, Sanela
  10. Mohan, G. Raj K. A.
  11. Salfinger, Stuart
  12. Fox, Simon ORCID logo
  13. Hmon, Khaing P. W.
  14. Yeow, Yen ORCID logo
  15. Kim, Youngmi
  16. John, Rhea
  17. Gilderman, Tami S.
  18. Killingbeck, Emily ORCID logo
  19. Gray, Elin ORCID logo
  20. Cohen, Paul ORCID logo
  21. Yu, Yu
  22. Forrest, Alistair ORCID logo

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s41467-024-47271-y.pdf 5,56MB
WeightNameValue
1000 Titel
  • Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones
1000 Autor/in
  1. Denisenko, Elena |
  2. de Kock, Leanne |
  3. Tan, Adeline |
  4. Beasley, Aaron B |
  5. Beilin, Maria |
  6. Jones, Matthew E. |
  7. Hou, Rui |
  8. Ó Muirí, Dáithí |
  9. Bilic, Sanela |
  10. Mohan, G. Raj K. A. |
  11. Salfinger, Stuart |
  12. Fox, Simon |
  13. Hmon, Khaing P. W. |
  14. Yeow, Yen |
  15. Kim, Youngmi |
  16. John, Rhea |
  17. Gilderman, Tami S. |
  18. Killingbeck, Emily |
  19. Gray, Elin |
  20. Cohen, Paul |
  21. Yu, Yu |
  22. Forrest, Alistair |
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-03
1000 Erschienen in
1000 Quellenangabe
  • 15(1):2860
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41467-024-47271-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10991508/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41467-024-47271-y#Sec32 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • High-grade serous ovarian carcinoma (HGSOC) is genetically unstable and characterised by the presence of subclones with distinct genotypes. Intratumoural heterogeneity is linked to recurrence, chemotherapy resistance, and poor prognosis. Here, we use spatial transcriptomics to identify HGSOC subclones and study their association with infiltrating cell populations. Visium spatial transcriptomics reveals multiple tumour subclones with different copy number alterations present within individual tumour sections. These subclones differentially express various ligands and receptors and are predicted to differentially associate with different stromal and immune cell populations. In one sample, CosMx single molecule imaging reveals subclones differentially associating with immune cell populations, fibroblasts, and endothelial cells. Cell-to-cell communication analysis identifies subclone-specific signalling to stromal and immune cells and multiple subclone-specific autocrine loops. Our study highlights the high degree of subclonal heterogeneity in HGSOC and suggests that subclone-specific ligand and receptor expression patterns likely modulate how HGSOC cells interact with their local microenvironment.
1000 Sacherschließung
lokal Ovarian cancer
lokal Multicellular systems
lokal Cancer microenvironment
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6358-526X|https://orcid.org/0000-0001-7314-1371|https://frl.publisso.de/adhoc/uri/VGFuLCBBZGVsaW5l|https://orcid.org/0000-0001-5727-7463|https://frl.publisso.de/adhoc/uri/QmVpbGluLCBNYXJpYQ==|https://frl.publisso.de/adhoc/uri/Sm9uZXMsIE1hdHRoZXcgRS4=|https://frl.publisso.de/adhoc/uri/SG91LCBSdWk=|https://frl.publisso.de/adhoc/uri/w5MgTXVpcsOtLCBEw6FpdGjDrQ==|https://frl.publisso.de/adhoc/uri/QmlsaWMsIFNhbmVsYQ==|https://frl.publisso.de/adhoc/uri/TW9oYW4sIEcuIFJhaiBLLiBBLg==|https://frl.publisso.de/adhoc/uri/U2FsZmluZ2VyLCBTdHVhcnQ=|https://orcid.org/0000-0003-2042-1809|https://frl.publisso.de/adhoc/uri/SG1vbiwgS2hhaW5nIFAuIFcu|https://orcid.org/0000-0002-2341-6354|https://frl.publisso.de/adhoc/uri/S2ltLCBZb3VuZ21p|https://frl.publisso.de/adhoc/uri/Sm9obiwgUmhlYQ==|https://frl.publisso.de/adhoc/uri/R2lsZGVybWFuLCBUYW1pIFMu|https://orcid.org/0000-0002-5108-5089|https://orcid.org/0000-0002-8613-3570|https://orcid.org/0000-0002-4860-9232|https://frl.publisso.de/adhoc/uri/WXUsIFl1|https://orcid.org/0000-0003-4543-1675
1000 Label
1000 Förderer
  1. Cancer Council Western Australia |
  2. Cancer Research Trust |
  3. Cancer Council Western Australia |
  4. Australian Government |
  5. MACA Ride to Conquer Cancer |
  6. Australian National Health and Medical Research Council |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
  6. APP1154524; APP2025225
1000 Förderprogramm
  1. Early Career Investigator Grant
  2. -
  3. -
  4. Research Training Program
  5. -
  6. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Cancer Council Western Australia |
    1000 Förderprogramm Early Career Investigator Grant
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Cancer Research Trust |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Cancer Council Western Australia |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Australian Government |
    1000 Förderprogramm Research Training Program
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer MACA Ride to Conquer Cancer |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Australian National Health and Medical Research Council |
    1000 Förderprogramm -
    1000 Fördernummer APP1154524; APP2025225
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6474136.rdf
1000 Erstellt am 2024-04-09T11:58:41.108+0200
1000 Erstellt von 284
1000 beschreibt frl:6474136
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Fri Apr 12 11:50:58 CEST 2024
1000 Objekt bearb. Fri Apr 12 11:50:46 CEST 2024
1000 Vgl. frl:6474136
1000 Oai Id
  1. oai:frl.publisso.de:frl:6474136 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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