Evidence map›Paper›PMID 25959926›Full record

ArticleNanomedicine : nanotechnology, biology, and medicine2015

Towards early detection of cervical cancer: Fractal dimension of AFM images of human cervical epithelial cells at different stages of progression to cancer.

Nataliia V Guz, Maxim E Dokukin, Craig D Woodworth, Andrew Cardin, Igor Sokolov

Abstract read
In one paragraph

Article in Nanomedicine : nanotechnology, biology, and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  14. Difference in biophysical properties of cancer-initiating cells in melanoma mutated zebrafish.Journal of the mechanical behavior of biomedical materials · 2020
    Article
  15. Article
  16. Article
  17. Nanomechanical Characteristics of Cervical Cancer and Cervical Intraepithelial Neoplasia Revealed by Atomic Force Microscopy.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  18. 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.

Nataliia V GuzDepartment of Physics, Clarkson University, Potsdam, NY, USA.
Maxim E DokukinDepartment of Mechanical Engineering, Tufts University, Medford, MA, USA.
Craig D WoodworthDepartment of Biology, Clarkson University, Potsdam, NY, USA.
Andrew CardinDepartment of Physics, Clarkson University, Potsdam, NY, USA.
Igor SokolovDepartment of Mechanical Engineering, Tufts University, Medford, MA, USA; Department of Biomedical Engineering, Tufts University, Medford, MA, USA; Department of Physics, Tufts University, Medford, MA, USA. Electronic address: igor.sokolov@tufts.edu.

Funding

Interaction of HPV with cells of the transformation zoneR15CA173703 · NCI · CLARKSON UNIVERSITY · PI WOODWORTH, CRAIG DUNCAN · 2013 to 2013
$436k
Regulation of Papillomavirus-Induced Immortalization by EGF-Receptor InhibitionR15CA126855 · NCI · CLARKSON UNIVERSITY · PI WOODWORTH, CRAIG DUNCAN · 2007 to 2009
$357k
NCI NIH HHS 1R15CA126855-01NCI NIH HHS R15 CA126855NCI NIH HHS R15 CA173703
6 · The paper itself

Abstract

We used AFM HarmoniX modality to analyse the surface of individual human cervical epithelial cells at three stages of progression to cancer, normal, immortal (pre-malignant) and carcinoma cells. Primary cells from 6 normal strains, 6 cancer, and 6 immortalized lines (derived by plasmid DNA-HPV-16 transfection of cells from 6 healthy individuals) were tested. This cell model allowed for good control of the cell phenotype down to the single cell level, which is impractical to attain in clinical screening tests (ex-vivo). AFM maps of physical (nonspecific) adhesion are collected on fixed dried cells. We show that a surface parameter called fractal dimension can be used to segregate normal from both immortal pre-malignant and malignant cells with sensitivity and specificity of more than 99%. The reported method of analysis can be directly applied to cells collected in liquid cytology screening tests and identified as abnormal with regular optical methods to increase sensitivity. FROM THE CLINICAL EDITOR: Despite cervical smear screening, sometimes it is very difficult to differentiate cancers cells from pre-malignant cells. By using AFM to analyze the surface properties of human cervical epithelial cells, the authors were able to accurately identify normal from abnormal cells. This method could augment existing protocols to increase diagnostic accuracy.

Indexed as

Early Detection of CancerMicroscopy, Atomic ForceCell Line, TumorDisease ProgressionEpithelial CellsFemaleFractalsHuman papillomavirus 16HumansNeoplasm StagingUterine Cervical NeoplasmsAtomic force microscopyCervical cancerEarly cancer detectionNovel detection methodsPap smear/liquid cytology tests

Identifiers

PMID25959926
PMCPMC5518320

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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.