Evidence map›Paper›PMID 33824479›Full record

ReviewBritish journal of cancer2021

Breast cancer as an example of tumour heterogeneity and tumour cell plasticity during malignant progression.

Fabiana Lüönd, Stefanie Tiede, Gerhard Christofori

Abstract readReview
In one paragraph

Review in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 262 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
262citing papers in PubMed, 3 pooled it
–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

262 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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202 more citing papers are in PubMed but not listed here.

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

3 authors.

Fabiana Lüönd *Department of Biomedicine, University of Basel, Basel, Switzerland.
Stefanie Tiede *Department of Biomedicine, University of Basel, Basel, Switzerland.
Gerhard ChristoforiDepartment of Biomedicine, University of Basel, Basel, Switzerland. gerhard.christofori@unibas.ch.ORCID http://orcid.org/0000-0002-8696-9896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity within a tumour increases its ability to adapt to constantly changing constraints, but adversely affects a patient's prognosis, therapy response and clinical outcome. Intratumoural heterogeneity results from a combination of extrinsic factors from the tumour microenvironment and intrinsic parameters from the cancer cells themselves, including their genetic, epigenetic and transcriptomic traits, their ability to proliferate, migrate and invade, and their stemness and plasticity attributes. Cell plasticity constitutes the ability of cancer cells to rapidly reprogramme their gene expression repertoire, to change their behaviour and identities, and to adapt to microenvironmental cues. These features also directly contribute to tumour heterogeneity and are critical for malignant tumour progression. In this article, we use breast cancer as an example of the origins of tumour heterogeneity (in particular, the mutational spectrum and clonal evolution of progressing tumours) and of tumour cell plasticity (in particular, that shown by tumour cells undergoing epithelial-to-mesenchymal transition), as well as considering interclonal cooperativity and cell plasticity as sources of cancer cell heterogeneity. We review current knowledge on the functional contribution of cell plasticity and tumour heterogeneity to malignant tumour progression, metastasis formation and therapy resistance.

Indexed as

Gene Regulatory NetworksGenetic HeterogeneityBreast NeoplasmsCell PlasticityDisease ProgressionDrug Resistance, NeoplasmEpigenesis, GeneticEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumans

Identifiers

PMID33824479
PMCPMC8292450

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Registered trials

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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.