3D Breast Tumor Models for Radiobiology Applications.

Akhilandeshwari Ravichandran, Julien Clegg, Mark N Adams, Madison Hampson, Andrew Fielding, Laura J Bray

Abstract readReview

In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it

0cells of the map it votes in

5citing 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

5 citing papers in PubMed.

Three-dimensional in vitro models in head and neck cancer: current trends and applications.Medical oncology (Northwood, London, England) · 2025
Review
3D Cell Models in Radiobiology: Improving the Predictive Value of In Vitro Research.International journal of molecular sciences · 2023
Review
Use of 3D Spheroid Models for the Assessment of RT Response in Head and Neck Cancer.International journal of molecular sciences · 2023
Article
Validation of a 3D perfused cell culture platform as a tool for humanised preclinical drug testing in breast cancer using established cell lines and patient-derived tissues.PloS one · 2023
Article
Characterisation of 3D Bioprinted Human Breast Cancer Model for In Vitro Drug and Metabolic Targeting.International journal of molecular sciences · 2022
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

6 authors.

Akhilandeshwari RavichandranSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.

Julien CleggSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.

Mark N AdamsARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.ORCID 0000-0003-1906-5018

Madison HampsonSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.

Andrew FieldingSchool of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia.

Laura J BraySchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.ORCID 0000-0002-1174-0018

Funding

Australian Research Council IC190100026Cancer Australia 1159637National Breast Cancer Foundation of Australia PF-16-004

6 · The paper itself

Abstract

Breast cancer is a leading cause of cancer-associated death in women. The clinical management of breast cancers is normally carried out using a combination of chemotherapy, surgery and radiation therapy. The majority of research investigating breast cancer therapy until now has mainly utilized two-dimensional (2D) in vitro cultures or murine models of disease. However, there has been significant uptake of three-dimensional (3D) in vitro models by cancer researchers over the past decade, highlighting a complimentary model for studies of radiotherapy, especially in conjunction with chemotherapy. In this review, we underline the effects of radiation therapy on normal and malignant breast cells and tissues, and explore the emerging opportunities that pre-clinical 3D models offer in improving our understanding of this treatment modality.

Indexed as

3D radiobiologyin vitro breast cancer modelsradiation therapyradiosensitizers

Identifiers

PMID34830869

DOI10.3390/cancers13225714

PMCPMC8616164

What Socratic 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 Socratic graph.