ArticleCancer medicine2023
Multiperspective quantitative tumor-stroma ratio reveals histological areas associated with poor outcomes in oral squamous cell carcinoma.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Tumor-Stroma Ratio in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Oral diseases · 2025Pooled it
- The Prognostic Role of Tumor-Stroma Ratio in Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- Pooled it
- Imaging tumor microenvironment heterogeneity in oral squamous cell carcinoma using IVIM DWI habitat analysis.European radiology experimental · 2026Article
- Stromal Regulation of Tumor Perineural Invasion: A Multicellular and Neuro-Ecological Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Tumor Vascular Area Quantification Predicts Survival Outcomes in Oral Squamous Cell Carcinoma.Oral diseases · 2026Article
- Serum metabolomics identifies biomarkers in radicular cysts.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- HAS1Journal of experimental & clinical cancer research : CR · 2025Article
- Multiperspective quantitative tumor-stroma ratio reveals histological areas associated with poor outcomes in oral squamous cell carcinoma.Cancer medicine · 2023Article
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11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
aimsDifferent regions of oral squamous cell carcinoma (OSCC) have particular histopathological characteristics, and the individual histological characteristics of the tumors are poorly understood. Therefore, calculating the proportion of tumor cells in different regions that allow assessment of the prognostic outcomes for OSCC patients would be of great clinical significance. METHODS AND
resultsWe established an open-source software-based analytic pipeline that defines the inner tumor and invasive tumor front (ITF) in pancytokeratin-stained whole slide images (WSIs) and quantifies the tumor-stroma ratio (TSR) within the two regions. We applied this method to 114 patients with OSCC and predicted patient prognosis by the TSR. The proportion of tumor area in the inner tumor was generally higher than that in the ITF (p < 0.0001). TSR was an independent prognostic factor for overall survival (OS) (p = 0.016), disease-free survival (DFS) (p = 0.026), and relapse-free survival (RFS) (p = 0.037) in inner tumor, and TSR was an independent prognostic factor for OS (p = 0.00052), DFS (p = 0.035), and metastasis-free survival (MFS) (p = 0.038) in the ITF. Tumor-low status was associated with poorer prognosis. There was a significant correlation between the TSR and perineural invasion (PNI) in the inner tumor (p = 0.009).
conclusionsThe histopathological characteristics of different regions of OSCC may be used to develop the potential prognostic markers. The TSR of the inner tumor is more targeted in predicting prognosis and accurately assesses the risk of PNI+.
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