Evidence map›Paper›PMID 37093401›Full record

ArticleAnnals of biomedical engineering2023

Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks.

Luca Tirinato, Valentina Onesto, Daniel Garcia-Calderon, Francesca Pagliari, Maria-Francesca Spadea, Joao Seco, Francesco Gentile

Open access · hybridAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 3 institutions in 3 countries.

Luca Tirinato *Department of Medical and Surgical Science, University Magna Grecia, 88100, Catanzaro, Italy.
Valentina Onesto *Department of Experimental and Clinical Medicine, Nanotechnology Research Center, University of Magna Graecia, 88100, Catanzaro, Italy.
Daniel Garcia-CalderonBiomedical Physics in Radiation Oncology, DKFZ German Cancer Research Center, Heidelberg, Germany.
Francesca PagliariBiomedical Physics in Radiation Oncology, DKFZ German Cancer Research Center, Heidelberg, Germany.
Maria-Francesca SpadeaInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Joao SecoBiomedical Physics in Radiation Oncology, DKFZ German Cancer Research Center, Heidelberg, Germany. j.seco@dkfz-heidelberg.de.
Francesco GentileDepartment of Experimental and Clinical Medicine, Nanotechnology Research Center, University of Magna Graecia, 88100, Catanzaro, Italy. francesco.gentile@unicz.it.ORCID http://orcid.org/0000-0002-1724-6301
German Cancer Research Center · DEMagna Graecia University · ITKarlsruhe Institute of Technology · DE

Funding

Associazione Italiana per la Ricerca sul Cancro 25656H2020 Marie Skłodowska-Curie Actions 800924
6 · The paper itself

Abstract

Clonogenic assays are routinely used to evaluate the response of cancer cells to external radiation fields, assess their radioresistance and radiosensitivity, estimate the performance of radiotherapy. However, classic clonogenic tests focus on the number of colonies forming on a substrate upon exposure to ionizing radiation, and disregard other important characteristics of cells such their ability to generate structures with a certain shape. The radioresistance and radiosensitivity of cancer cells may depend less on the number of cells in a colony and more on the way cells interact to form complex networks. In this study, we have examined whether the topology of 2D cancer-cell graphs is influenced by ionizing radiation. We subjected different cancer cell lines, i.e. H4 epithelial neuroglioma cells, H460 lung cancer cells, PC3 bone metastasis of grade IV of prostate cancer and T24 urinary bladder cancer cells, cultured on planar surfaces, to increasing photon radiation levels up to 6 Gy. Fluorescence images of samples were then processed to determine the topological parameters of the cell-graphs developing over time. We found that the larger the dose, the less uniform the distribution of cells on the substrate-evidenced by high values of small-world coefficient (cc), high values of clustering coefficient (cc), and small values of characteristic path length (cpl). For all considered cell lines, [Formula: see text] for doses higher or equal to 4 Gy, while the sensitivity to the dose varied for different cell lines: T24 cells seem more distinctly affected by the radiation, followed by the H4, H460 and PC3 cells. Results of the work reinforce the view that the characteristics of cancer cells and their response to radiotherapy can be determined by examining their collective behavior-encoded in a few topological parameters-as an alternative to classical clonogenic assays.

Indexed as

Lung NeoplasmsProstatic NeoplasmsCell SurvivalEpithelial CellsHumansMaleRadiation ToleranceCancer diagnosisClonogenic assaysNetworks analysisRadiation therapyRadio-resistanceSmall world networksTopology

Identifiers

PMID37093401
PMCPMC10326123
OpenAlexW4366822209

What OpenQuestion holds

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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.