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Tumor stroma ratio as a parameter for prognosis and clinicopathological behavior of oral squamous cell carcinoma: A retrospective cohort study
Author(s) -
Mohammed E. Grawish,
Mona Denewar,
Rehab Allah Ahmed,
Amr Abouzid,
Doaa Esmaeil,
Mohamed I. Mourad
Publication year - 2021
Publication title -
journal of solid tumors
Language(s) - English
Resource type - Journals
eISSN - 1925-4075
pISSN - 1925-4067
DOI - 10.5430/jst.v10n2p36
Subject(s) - stroma , stage (stratigraphy) , medicine , retrospective cohort study , oncology , pathology , vimentin , basal cell , immunohistochemistry , biology , paleontology
Background and aim: Tumor-stroma ratio (TSR) is the proportion of tumor cells to surrounding stroma. TSR was reported in many carcinomas as an independent strong, prognostic parameter, and could be applied routinely in diagnostic pathology. This study aimed to clarify the association between prognosis and TSR of oral squamous cell carcinoma (OSCC) and to evaluate its correlations with the clinical stages and histological grades of the studied cases.Materials and Methods: One hundred thirty-nine anti-vimentin stained slides were digitized and analyzed for TSR scoring. TSR was classified as stroma rich (< 50%) and stroma poor (≥ 50%). Correlations between clinicopathological variables and TSR were assessed.Results: Microscopical examination of the studied cases revealed that 67 (48.2%) were stroma-rich and 72 (51.8%) were stroma-poor. Overall findings explained that stroma rich group had larger size, higher clinical stage, higher recurrence rate with a low disease free survival (DFS) and worse overall survival (OS) than the stroma poor.Conclusion: The clinical outcomes of stroma rich OSCC is poor as it is associated with decreased OS and DFS of patients. Hence, TSR may be used as a prognostic independent factor for OSCC and thus, TSR can be considered as an important, low cost and valuable parameter that could be used in addition to the TNM status. Moreover, TSR might be helpful for the judgment of prognosis and for the determination of OSCC high-risk patients to treat them individually. 

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