Evidence map›Paper›PMID 34934048›Full record

ReviewNPJ breast cancer2021

Subclonal heterogeneity and evolution in breast cancer.

Ioanna Mavrommati, Flora Johnson, Gloria V Echeverria, Rachael Natrajan

Open access · goldAbstract readReview
In one paragraph

Review in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  7. Article
  8. Therapeutic synergies that overcome carboplatin resistance in triple-negative breast cancer.Journal of experimental & clinical cancer research : CR · 2026
    Article
  9. Article
  10. Review
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  12. Article
  13. Review
  14. Review
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  19. Precision medicine in breast cancer (Review).Molecular and clinical oncology · 2024
    Review
  20. Genetic variation drives cancer cell adaptation to ECM stiffness.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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 at 2 institutions in 2 countries.

Ioanna MavrommatiThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-5436-2619
Flora JohnsonThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
Gloria V EcheverriaLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-3772-9298
Rachael NatrajanThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK. rachael.natrajan@icr.ac.uk.ORCID http://orcid.org/0000-0002-9987-2946
Institute of Cancer Research · GBBaylor College of Medicine · US

Funding

Characterizing and targeting intra-tumor heterogeneity in triple negative breast cancer chemoresistance and multi-organ metastasisK22CA241113 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ECHEVERRIA, GLORIA VITTONE · 2020 to 2022
$473k
Breast Cancer Now (BCN) Programmatic funding to RNBreast Cancer Now (BCN) Programme Funding to the Breast Cancer Now Toby Robins Research Centre to R.NCancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RR200009Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) 1K22CA241113-01NCI NIH HHS K22 CA241113
6 · The paper itself

Abstract

Subclonal heterogeneity and evolution are characteristics of breast cancer that play a fundamental role in tumour development, progression and resistance to current therapies. In this review, we focus on the recent advances in understanding the epigenetic and transcriptomic changes that occur within breast cancer and their importance in terms of cancer development, progression and therapy resistance with a particular focus on alterations at the single-cell level. Furthermore, we highlight the utility of using single-cell tracing and molecular barcoding methodologies in preclinical models to assess disease evolution and response to therapy. We discuss how the integration of single-cell profiling from patient samples can be used in conjunction with results from preclinical models to untangle the complexities of this disease and identify biomarkers of disease progression, including measures of intra-tumour heterogeneity themselves, and how enhancing this understanding has the potential to uncover new targetable vulnerabilities in breast cancer.

Identifiers

PMID34934048
PMCPMC8692469
OpenAlexW4200550764

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.