Evidence map›Paper›PMID 39012440›Full record

ReviewJournal of mammary gland biology and neoplasia2024

State of the Art Modelling of the Breast Cancer Metastatic Microenvironment: Where Are We?

Mia Nuckhir, David Withey, Sara Cabral, Hannah Harrison, Robert B Clarke

Abstract readReview
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Methods and Models in Mammary Gland Biology and Breast Cancer Research.Journal of mammary gland biology and neoplasia · 2025
    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

5 authors.

Mia Nuckhir *Breast Biology Group, Manchester Breast Centre, Division of Cancer Sciences, Oglesby Cancer Research Building, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M20 4GJ, UK.
David Withey *Breast Biology Group, Manchester Breast Centre, Division of Cancer Sciences, Oglesby Cancer Research Building, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M20 4GJ, UK.
Sara Cabral *Breast Biology Group, Manchester Breast Centre, Division of Cancer Sciences, Oglesby Cancer Research Building, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M20 4GJ, UK.
Hannah HarrisonBreast Biology Group, Manchester Breast Centre, Division of Cancer Sciences, Oglesby Cancer Research Building, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M20 4GJ, UK. Hannah.harrison@manchester.ac.uk.
Robert B ClarkeBreast Biology Group, Manchester Breast Centre, Division of Cancer Sciences, Oglesby Cancer Research Building, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M20 4GJ, UK. Robert.clarke@manchester.ac.uk.

Funding

Breast Cancer NowCancer Research UKUK Research and Innovation
6 · The paper itself

Abstract

Metastatic spread of tumour cells to tissues and organs around the body is the most frequent cause of death from breast cancer. This has been modelled mainly using mouse models such as syngeneic mammary cancer or human in mouse xenograft models. These have limitations for modelling human disease progression and cannot easily be used for investigation of drug resistance and novel therapy screening. To complement these approaches, advances are being made in ex vivo and 3D in vitro models, which are becoming progressively better at reliably replicating the tumour microenvironment and will in the future facilitate drug development and screening. These approaches include microfluidics, organ-on-a-chip and use of advanced biomaterials. The relevant tissues to be modelled include those that are frequent and clinically important sites of metastasis such as bone, lung, brain, liver for invasive ductal carcinomas and a distinct set of common metastatic sites for lobular breast cancer. These sites all have challenges to model due to their unique cellular compositions, structure and complexity. The models, particularly in vivo, provide key information on the intricate interactions between cancer cells and the native tissue, and will guide us in producing specific therapies that are helpful in different context of metastasis.

Indexed as

Breast NeoplasmsNeoplasm MetastasisTumor MicroenvironmentAnimalsDisease Models, AnimalFemaleHumansMiceModels, BiologicalBoneBrainBreast cancer metastasisLiverLobular breast cancerLung

Identifiers

PMID39012440
PMCPMC11252219

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.