Evidence map›Paper›PMID 31308365›Full record

ArticleNature communications2019

Landscape of transcriptomic interactions between breast cancer and its microenvironment.

Natalie S Fox, Syed Haider, Adrian L Harris, Paul C Boutros

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Frontiers in immunology · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Natalie S FoxOntario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada. Natalie.Fox@oicr.on.ca.
Syed HaiderOntario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada.ORCID http://orcid.org/0000-0001-6685-5480
Adrian L HarrisDepartment of Oncology, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK.ORCID http://orcid.org/0000-0003-1376-8409
Paul C BoutrosOntario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada. pboutros@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-0553-7520

Funding

Cancer Research UK 11359CIHR
6 · The paper itself

Abstract

Solid tumours comprise mixtures of tumour cells (TCs) and tumour-adjacent cells (TACs), and the intricate interconnections between these diverse populations shape the tumour's microenvironment. Despite this complexity, clinical genomic profiling is typically performed from bulk samples, without distinguishing TCs from TACs. To better understand TC-TAC interactions, we computationally distinguish their transcriptomes in 1780 primary breast tumours. We show that TC and TAC mRNA abundances are divergently associated with clinical phenotypes, including tumour subtypes and patient survival. These differences reflect distinct responses of TCs and TACs to specific somatic driver mutations, particularly TP53. These data further elucidate how the molecular interplay between breast tumours and their microenvironment drives aggressive tumour phenotypes.

Indexed as

Tumor MicroenvironmentBiomarkers, TumorBreast NeoplasmsClinical Decision-MakingFemaleGene Expression ProfilingHumansPrognosisRNA, MessengerBiomarkers, TumorRNA, Messenger

Identifiers

PMID31308365
PMCPMC6629667

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.