Evidence map›Paper›PMID 35266015›Full record

ArticleMolecular medicine reports2022

Differential immunohistochemical expression of DEC1, CK‑1ε, and CD44 in oral atypical squamous epithelium and carcinoma

Fuyuki Sato, Ujjal K Bhawal, Shoko Osaki, Nao Sugiyama, Kosuke Oikawa, Yasuteru Muragaki

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2022. 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 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Biological biomarkers of oral cancer.Periodontology 2000 · 2024
    Review
  2. Review
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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 at 3 institutions in 1 country.

Fuyuki SatoDepartment of Diagnostic Pathology, Shizuoka Cancer Center, Sunto‑gun, Shizuoka 411‑8777, Japan.
Ujjal K BhawalDepartment of Biochemistry and Molecular Biology, Nihon University School of Dentistry at Matsudo, Chiba 271‑8587, Japan.
Shoko OsakiDepartment of Pathology, Wakayama Medical University School of Medicine, Wakayama 641‑8509, Japan.
Nao SugiyamaDepartment of Pathology, Wakayama Medical University School of Medicine, Wakayama 641‑8509, Japan.
Kosuke OikawaDepartment of Pathology, Wakayama Medical University School of Medicine, Wakayama 641‑8509, Japan.
Yasuteru MuragakiDepartment of Pathology, Wakayama Medical University School of Medicine, Wakayama 641‑8509, Japan.
Wakayama Medical University · JPNihon University · JPShizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presence of nuclear atypia during histological investigation is often a cause of concern for pathologists while identifying tumor and non‑tumor cells in a biopsy sample of oral mucosa. Nuclear atypia is observed in severe inflammation, ulcers and reactive changes. Therefore, additional methods, such as immunohistochemistry, may help precise diagnosis. When the atypia is suggestive of tumorous or reactive origin, the lesion is diagnosed as atypical squamous epithelium (ASE). When there is severe nuclear atypia in the mucosa, such as in disorders of nuclear polarity, large nuclei, and clear nucleolus, the lesion is diagnosed as carcinoma

Indexed as

Carcinoma in SituCarcinoma, Squamous CellBiomarkers, TumorCasein KinasesEpitheliumHumansHyaluronan ReceptorsImmunohistochemistryTumor Suppressor ProteinsBiomarkers, TumorCasein KinasesCD44 protein, humanDELEC1 protein, humanHyaluronan ReceptorsTumor Suppressor Proteinsatypical squamous epitheliumcarcinoma in situCD44CK‑1εDEC1PCNA

Identifiers

PMID35266015
PMCPMC8941534
OpenAlexW4220963800

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.