ArticleAmerican journal of translational research2025
Predictive value of quantitative DNA analysis in the carcinogenesis of oral submucous fibrosis.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the diagnostic value of DNA quantitative analysis for the malignant transformation of Oral submucous fibrosis (OSF), as well as the risk factors for OSF carcinogenesis.
methodsClinical data from 85 OSF patients treated between June 2021 and June 2023 were retrospectively analyzed. Using pathological diagnosis as the gold standard, the diagnostic performance of DNA quantification was evaluated. The relationship between DNA quantitative findings and patients clinicopathological features was analyzed. Meanwhile, factors associated with abnormal DNA content and risk factors for OSF malignant transformation were identified through multivariate logistic regression analysis. The receiver operating characteristic curve (ROC) was employed to evaluate the diagnostic performance of DNA quantitative analysis for predicting malignant transformation.
resultsAmong the 85 OSF patients, 34 (40.0%) developed malignant transformation. DNA quantitative analysis results revealed 40 (47.1%) had abnormal DNA content, while the other 45 did not. Multivariate Logistic regression analysis identified lesion location and degree of epithelial dysplasia as risk factors for abnormal DNA content; betel-nut chewing frequency, smoking, and the presence of oral leukoplakia (OLK) or oral lichen planus (OLP) were significantly associated with OSF carcinogenesis. The ROC curve for DNA quantitative analysis in diagnosing OSF carcinogenesis showed an area under the curve (AUC) of 0.770, with a sensitivity of 79.4%, specificity of 74.5%, positive predictive value of 67.5%, and negative predictive value of 84.4%.
conclusionDNA quantitative analysis is a valuable tool for assessing carcinogenic risk of OSF. Lesion location and epithelial dysplasia are significant factors associated with abnormal DNA content, while lifestyle factors and coexisting oral lesions contribute to malignant transformation risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.