uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing
Lund Univ, Dept Lab Med, Div Translat Canc Res, BioCARE, S-22381 Lund, Sweden.
Lund Univ, Sci Life Lab, Natl Bioinformat Infrastruct Sweden, Dept Biol, Solvegatan 35, S-22362 Lund, Sweden.
Lund Univ, Dept Lab Med, Div Translat Canc Res, BioCARE, S-22381 Lund, Sweden.
Karolinska Inst, Dept Oncol & Pathol, Karolinska Univ Sjukhuset Z1 01, S-17176 Stockholm, Sweden.
Show others and affiliations
2018 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 9, article id 5150Article in journal (Refereed) Published
Abstract [en]

Cancer-associated fibroblasts (CAFs) are a major constituent of the tumor microenvironment, although their origin and roles in shaping disease initiation, progression and treatment response remain unclear due to significant heterogeneity. Here, following a negative selection strategy combined with single-cell RNA sequencing of 768 transcriptomes of mesenchymal cells from a genetically engineered mouse model of breast cancer, we define three distinct subpopulations of CAFs. Validation at the transcriptional and protein level in several experimental models of cancer and human tumors reveal spatial separation of the CAF subclasses attributable to different origins, including the peri-vascular niche, the mammary fat pad and the transformed epithelium. Gene profiles for each CAF subtype correlate to distinctive functional programs and hold independent prognostic capability in clinical cohorts by association to metastatic disease. In conclusion, the improved resolution of the widely defined CAF population opens the possibility for biomarker-driven development of drugs for precision targeting of CAFs.

Place, publisher, year, edition, pages
2018. Vol. 9, article id 5150
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-372765DOI: 10.1038/s41467-018-07582-3ISI: 000452042500001PubMedID: 30514914OAI: oai:DiVA.org:uu-372765DiVA, id: diva2:1278267
Funder
EU, European Research Council, 309322Swedish Research CouncilAvailable from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved

Open Access in DiVA

fulltext(3533 kB)55 downloads
File information
File name FULLTEXT01.pdfFile size 3533 kBChecksum SHA-512
07145c7cb88530ceb6b271424ba3567babe087ae006bba41382d8ada49b01b3036911b7b1e2ce2b8dd53785b936d89e36596d1f571897253075232caa9fc737c
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records BETA

Björklund, Åsa

Search in DiVA

By author/editor
Ringner, MarkusBjörklund, Åsa
By organisation
Molecular EvolutionScience for Life Laboratory, SciLifeLab
In the same journal
Nature Communications
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar
Total: 55 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 149 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf