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Dominant cell type analysis predicts head and neck adenoid cystic carcinoma outcomes

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机构: [1]Capital Med Univ, Beijing Tongren Hosp, Dept Pathol, Beijing Key Lab Head & Neck Mol Diagnost Pathol, 1 Dongjiaominxiang St, Beijing 100730, Peoples R China [2]Anhui Med Univ, Anqing Hosp, Anqing Municipal Hosp, Dept Pathol, 87 Tianzhushandong St, Anqing 246003, Peoples R China [3]Anhui Med Univ, Anqing Hosp, Anqing Municipal Hosp, Dept Oncol Surg, 87 Tianzhushandong St, Anqing 246003, Peoples R China
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关键词: Adenoid cystic carcinoma Recurrence Metastasis Pathology Clinical Prognosis

摘要:
Traditional histological grading for predicting adenoid cystic carcinoma (ACC) outcomes is challenging and unreliable. We explored the relationship between dominant cell type (DCT) and outcomes for ACC of the head and neck to develop a new approach to predicting prognosis. Clinicopathological data were obtained from a retrospective cohort of 167 patients with primary ACC of the head and neck. Using immunohistochemistry markers to determine DCT, tumors were subclassified into three distinct subtypes, epithelial-predominant (EACC), myoepithelial-predominant (M-ACC), and conventional (C-ACC). Differences in clinicopathological parameters and clinical outcomes among these subtypes were then analyzed. Compared to that of M-ACC and CACC, E-ACC exhibited more aggressive clinicopathological features with predominantly solid components, highgrade transformation, lymphovascular invasion, tumor necrosis (TN), Ki-67 > 30%, and advanced stage of disease. Both E-ACC and M-ACC could present as solid morphological forms, but E-ACC had a significantly worse prognosis than M-ACC. DCT, TN, and disease stage were independent predictors of recurrence-free survival. DCT, TN, age > 50 years, and disease stage were independent predictors for overall survival. In conclusion, DCT was an independent prognostic indicator for both recurrence-free and overall survival for ACC. Our results provide a new approach to predicting prognosis in ACC and a strong pathological basis for clinically optimizing treatment.

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出版当年[2021]版:
大类 | 4 区 医学
小类 | 4 区 病理学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 病理学
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出版当年[2020]版:
Q3 PATHOLOGY
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Q3 PATHOLOGY

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第一作者机构: [1]Capital Med Univ, Beijing Tongren Hosp, Dept Pathol, Beijing Key Lab Head & Neck Mol Diagnost Pathol, 1 Dongjiaominxiang St, Beijing 100730, Peoples R China [2]Anhui Med Univ, Anqing Hosp, Anqing Municipal Hosp, Dept Pathol, 87 Tianzhushandong St, Anqing 246003, Peoples R China
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