Evidence map›Paper›PMID 41309958›Full record

ArticleScientific reports2025

Quantitative and longitudinal monitoring of cancer cell invasion in a three-dimensional in vitro model of oral cancer using optical coherence tomography.

Kenta Haga, Yoshifumi Kamimura, Manabu Yamazaki, Akinori Funayama, Yuko Saito, Masako Kida, Jun-Ichi Tanuma, Kenji Izumi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Kenta Haga *Division of Biomimetics, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8514, Japan.
Yoshifumi Kamimura *SCREEN Holdings Co., Ltd., Kyoto, 602-8585, Japan.
Manabu YamazakiDivision of Oral Pathology, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8514, Japan.
Akinori FunayamaDivision of Reconstructive Surgery for Oral and Maxillofacial Region, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8514, Japan.
Yuko SaitoDivision of Oral and Maxillofacial surgery, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951- 8514, Japan.
Masako KidaSCREEN Holdings Co., Ltd., Kyoto, 602-8585, Japan.
Jun-Ichi TanumaDivision of Oral Pathology, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8514, Japan.
Kenji IzumiDivision of Biomimetics, Faculty of Dentistry & Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8514, Japan. izumik@dent.niigata-u.ac.jp.

Funding

Japan Society for the Promotion of Science 20K18663Japan Society for the Promotion of Science 23K16143
6 · The paper itself

Abstract

We previously developed a three-dimensional (3D) organotypic culture model of oral squamous cell carcinoma (OSCC) by incorporating cancer-associated fibroblasts to replicate oral tissue architecture and the tumor microenvironment (TME). This model provides a relevant platform for investigating cancer cell invasion. Optical coherence tomography (OCT), a noninvasive, high-resolution imaging technique, enables both real-time and longitudinal observations. This study assessed the applicability and feasibility of combining OCT with deep learning for the quantitative, longitudinal monitoring of cancer cell invasion in our 3D model. OCT effectively captured cross-sectional images and identified three regions-original cancer cell region, invasive cancer cell region, and stromal layer-based on scattering intensity and optical density, demonstrating nondestructive visualization of tissue microarchitecture. Sequential OCT imaging facilitated 3D image reconstruction and repeated monitoring. Planimetric and volumetric analyses of 3D OCT images revealed internal structural alterations and enabled comparative evaluation of invasion behaviors across OSCC cell types, TME conditions, and culture durations. Moreover, the invasiveness parameter obtained from 3D OCT images strongly correlated with histomorphometric-based data, confirming its reliability. These findings support the use of OCT imaging as a promising tool for noninvasive, quantitative assessment of invasiveness in organotypic cancer models.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsTomography, Optical CoherenceCell Culture Techniques, Three DimensionalCell Line, TumorHumansImaging, Three-DimensionalNeoplasm InvasivenessTumor Microenvironment3D organotypic modelCancer-associated fibroblastsCancer cell invasionDeep learningOptical coherence tomographyOral squamous cell carcinomaTumor microenvironment

Identifiers

PMID41309958
PMCPMC12749817

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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.