ArticleJournal of carcinogenesis2020
Development of clinico-histopathological predictive model for the assessment of metastatic risk of oral squamous cell carcinoma.
Article in Journal of carcinogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
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- Prognostic impact of lymphovascular and perineural invasion in squamous cell carcinoma of the tongue.Scientific reports · 2023Article
- Targeted Therapy of B7 Family Checkpoints as an Innovative Approach to Overcome Cancer Therapy Resistance: A Review from Chemotherapy to Immunotherapy.Molecules (Basel, Switzerland) · 2022Review
- A hyaluronic acid/PVA electrospun coating on 3D printed PLA scaffold for orthopedic application.Progress in biomaterials · 2022Article
- From the Matrix to the Nucleus and Back: Mechanobiology in the Light of Health, Pathologies, and Regeneration of Oral Periodontal Tissues.Biomolecules · 2021Review
- How is neck dissection performed in Oral and Maxillofacial Surgery? Results of a representative nationwide survey among university and non-university hospitals in Germany.Clinical oral investigations · 2021Article
- Silencing of SETD6 inhibits the tumorigenesis of oral squamous cell carcinoma by inhibiting methylation of PAK4 and RelA.Histology and histopathology · 2021Article
- Erratum: Development of clinico-histopathological predictive model for the assessment of metastatic risk of oral squamous cell carcinoma.Journal of carcinogenesis · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextOral cancer metastasis is the leading cause of death globally. The decision-making on the mode of surgical treatment in clinically negative lymph nodes is challenging.
aimThe aim of this study was to develop a predictive model using clinical and histopathologic parameters that may help in the assessment of the metastatic risk of oral squamous cell carcinoma (OSCC). SETTINGS AND
designClinical data of histopathologically confirmed primary OSCC from 2014 to 2017 were retrieved from the archives. Histopathological parameters for metastasis that were considered for evaluation in the study were tumor buds, cytoplasmic pseudofragments, tumor grade, depth of invasion, invasive tumor front (ITF) pattern, and lymphovascular invasion (LVI).
methodsHematoxylin and eosin and pan-cytokeratin immunostained sections of metastatic and nonmetastatic OSCC were assessed for histopathological features and correlated with clinical parameters. STATISTICAL ANALYSIS USED: SPSS software (Statistical Package for Social Sciences for Windows, Version 22.0 (2013) (IBM Corp., Armonk, NY, USA)) was used for the statistical analysis. Pearson's Chi-square test was done to assess the grades of histopathological and clinical parameters between the study groups. Univariate analysis was performed to develop a clinicopathologic predictive model.
resultsThe clinicopathologic model signifies that OSCC with clinical Stage IV, high grades of tumor buds and cytoplasmic pseudofragments, Type V ITF pattern, positive LVI, deeply invasive tumors, and poorly differentiated grades of OSCC have a high risk of developing nodal metastasis. These parameters may be used as early predictors for metastasis of OSCC both in incisional and excisional biopsy specimens.
conclusionsThe proposed predictive model is simple, cost-effective, and user-friendly for the early assessment of nodal metastatic risk in clinically negative lymph nodes.
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