Evidence map›Paper›PMID 38480932›Full record

ArticleEMBO molecular medicine2024

Basal-epithelial subpopulations underlie and predict chemotherapy resistance in triple-negative breast cancer.

Mohammed Inayatullah, Arun Mahesh, Arran K Turnbull, J Michael Dixon, Rachael Natrajan, Vijay K Tiwari

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors at 4 institutions in 3 countries.

Mohammed InayatullahInstitute for Molecular Medicine, University of Southern Denmark, Odense M, Denmark.
Arun MaheshInstitute for Molecular Medicine, University of Southern Denmark, Odense M, Denmark.ORCID http://orcid.org/0000-0002-4980-8014
Arran K TurnbullEdinburgh Breast Cancer Now Research Group, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK.
J Michael DixonEdinburgh Breast Cancer Now Research Group, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK.ORCID http://orcid.org/0000-0002-7583-331X
Rachael NatrajanThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK.ORCID http://orcid.org/0000-0002-9987-2946
Vijay K TiwariInstitute for Molecular Medicine, University of Southern Denmark, Odense M, Denmark. tiwari@health.sdu.dk.ORCID http://orcid.org/0000-0003-0292-6635
Breast Cancer Now · GBUniversity of Southern Denmark · DKInstitute of Cancer Research · GBQueen's University Belfast · GB

Funding

Deutsche Forschungsgemeinschaft (DFG) TI 799/1-3UKRI | Innovate UK iCURE
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, characterized by extensive intratumoral heterogeneity, high metastasis, and chemoresistance, leading to poor clinical outcomes. Despite progress, the mechanistic basis of these aggressive behaviors remains poorly understood. Using single-cell and spatial transcriptome analysis, here we discovered basal epithelial subpopulations located within the stroma that exhibit chemoresistance characteristics. The subpopulations are defined by distinct signature genes that show a frequent gain in copy number and exhibit an activated epithelial-to-mesenchymal transition program. A subset of these genes can accurately predict chemotherapy response and are associated with poor prognosis. Interestingly, among these genes, elevated ITGB1 participates in enhancing intercellular signaling while ACTN1 confers a survival advantage to foster chemoresistance. Furthermore, by subjecting the transcriptional signatures to drug repurposing analysis, we find that chemoresistant tumors may benefit from distinct inhibitors in treatment-naive versus post-NAC patients. These findings shed light on the mechanistic basis of chemoresistance while providing the best-in-class biomarker to predict chemotherapy response and alternate therapeutic avenues for improved management of TNBC patients resistant to chemotherapy.

Indexed as

Triple Negative Breast NeoplasmsCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingHumansSignal TransductionTranscriptomeBreast CancerEMTGenomicsMetastasisTherapy Resistance

Identifiers

PMID38480932
PMCPMC11018633
OpenAlexW4392751318

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.