Evidence map›Paper›PMID 33179547›Full record

ArticleJournal of dental research2021

Nuclear F-actin Cytology in Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma.

M P McRae, A R Kerr, M N Janal, M H Thornhill, S W Redding, N Vigneswaran, S K Kang, R Niederman, N J Christodoulides, D A Trochesset and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of dental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Application of artificial intelligence in oral potentially malignant disorders: current opinions and future barriers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Article
  6. Review
  7. A cytomics-on-a-chip platform and diagnostic model stratifies risk for oral lichenoid conditions.Oral surgery, oral medicine, oral pathology and oral radiology · 2024
    Article
  8. A brief review of cytology in dentistry.British dental journal · 2024
    Review
  9. Article
  10. Article
  11. 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

16 authors at 5 institutions in 2 countries.

M P McRaeDepartment of Biomaterials, Bioengineering Institute, New York University College of Dentsitry, New York, NY, USA.ORCID 0000-0002-2126-9442
A R KerrDepartment of Oral and Maxillofacial Pathology, Radiology & Medicine, New York University College of Dentistry, New York, NY, USA.
M N JanalDepartment of Epidemiology and Health Promotion, New York University College of Dentistry, New York, NY, USA.
M H ThornhillDepartment of Oral & Maxillofacial Medicine, Surgery and Pathology, School of Clinical Dentistry, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0681-4083
S W ReddingDepartment of Comprehensive Dentistry and Mays Cancer Center, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
N VigneswaranDepartment of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
S K KangDepartments of Radiology, Population Health New York University School of Medicine, New York, NY, USA.
R NiedermanDepartment of Epidemiology and Health Promotion, New York University, New York, NY, USA.
N J ChristodoulidesDepartment of Biomaterials, Bioengineering Institute, New York University College of Dentsitry, New York, NY, USA.
D A TrochessetDepartment of Oral and Maxillofacial Pathology, Radiology & Medicine, New York University College of Dentistry, New York, NY, USA.
C MurdochDepartment of Oral & Maxillofacial Medicine, Surgery and Pathology, School of Clinical Dentistry, University of Sheffield, Sheffield, UK.ORCID 0000-0001-9724-122X
I DapkinsDepartments of Population Health and Medicine, New York University School of Medicine, New York, NY, USA.
J BouquotDepartment of Diagnostic and Biomedical Sciences, The University of Texas School of Dentistry at Houston, Houston, TX, USA.
S S ModakDepartment of Biomaterials, Bioengineering Institute, New York University College of Dentsitry, New York, NY, USA.
G W SimmonsDepartment of Biomaterials, Bioengineering Institute, New York University College of Dentsitry, New York, NY, USA.
J T McDevittDepartment of Biomaterials, Bioengineering Institute, New York University College of Dentsitry, New York, NY, USA.
New York University · USUniversity of Sheffield · GBYork University · USThe University of Texas Health Science Center at Houston · USThe University of Texas Health Science Center at San Antonio · US

Funding

Monitoring of Oral Cancer Patients Using Novel Lab-on-a-Chip EnsemblesRC2DE020785 · NIDCR · RICE UNIVERSITY · PI MCDEVITT, JOHN T · 2009 to 2012
$3.5M
Lab-on-a-Chip-Based System for Detection and Monitoring of Oral Cancer in Dental SettingsR44DE025798 · NIDCR · SENSODX II, LLC · PI MCDEVITT, JOHN T, MEHALSO, ROBERT · 2016 to 2018
$1.7M
Aptamer mediated targeting of Fanconi Anemia oral cancer initiating cellsR01DE024392 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ANNAPRAGADA, ANANTH V, VIGNESWARAN, NADARAJAH · 2014 to 2017
$1.5M
NIDCR NIH HHS R01 DE024392NIDCR NIH HHS R44 DE025798NIDCR NIH HHS RC2 DE020785
6 · The paper itself

Abstract

Oral cavity cancer has a low 5-y survival rate, but outcomes improve when the disease is detected early. Cytology is a less invasive method to assess oral potentially malignant disorders relative to the gold-standard scalpel biopsy and histopathology. In this report, we aimed to determine the utility of cytological signatures, including nuclear F-actin cell phenotypes, for classifying the entire spectrum of oral epithelial dysplasia and oral squamous cell carcinoma. We enrolled subjects with oral potentially malignant disorders, subjects with previously diagnosed malignant lesions, and healthy volunteers without lesions and obtained brush cytology specimens and matched scalpel biopsies from 486 subjects. Histopathological assessment of the scalpel biopsy specimens classified lesions into 6 categories. Brush cytology specimens were analyzed by machine learning classifiers trained to identify relevant cytological features. Multimodal diagnostic models were developed using cytology results, lesion characteristics, and risk factors. Squamous cells with nuclear F-actin staining were associated with early disease (i.e., lower proportions in benign lesions than in more severe lesions), whereas small round parabasal-like cells and leukocytes were associated with late disease (i.e., higher proportions in severe dysplasia and carcinoma than in less severe lesions). Lesions with the impression of oral lichen planus were unlikely to be either dysplastic or malignant. Cytological features substantially improved upon lesion appearance and risk factors in predicting squamous cell carcinoma. Diagnostic models accurately discriminated early and late disease with AUCs (95% CI) of 0.82 (0.77 to 0.87) and 0.93 (0.88 to 0.97), respectively. The cytological features identified here have the potential to improve screening and surveillance of the entire spectrum of oral potentially malignant disorders in multiple care settings.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsActinsBiopsyHumansSquamous Cell Carcinoma of Head and NeckActinsactinsartificial intelligencebiomarkerscell biologypoint-of-care testingsingle-cell analysis

Identifiers

PMID33179547
PMCPMC8060776
OpenAlexW3103993817

What OpenQuestion holds

Textmetadata
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.