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Prognostic nomogram for adenoid cystic carcinoma in different anatomic sites
Author(s) -
Mu Xiaoli,
Li Yan,
He Ling,
Guan Hui,
Wang Jingjing,
Wei Zhigong,
He Yan,
Liu Zheran,
Li Ruidan,
Peng Xingchen
Publication year - 2021
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.26443
Subject(s) - nomogram , medicine , adenoid cystic carcinoma , distant metastasis , oncology , epidemiology , lymph node metastasis , cohort , lymph node , radiology , metastasis , carcinoma , cancer
Background Adenoid cystic carcinoma (ACC) is a relatively uncommon tumor. The existing prediction model is limited to the head and neck. We aim to construct a prognostic nomogram combined with the clinical features and treatment options of ACC to predict the disease‐specific survival (DSS) of patients diagnosed with ACC in different anatomic sites. Methods A novel predictive model was constructed using 1285 patients with ACC from the Surveillance, Epidemiology, and End Results (SEER) registry between 2010 and 2015. The performance of this model was externally validated using 118 patients with ACC in the West China Hospital, Sichuan University between 2010 and 2017. Results The prognostic model demonstrated that age, primary site, lymph node metastasis, distant metastasis, radiotherapy and surgery were independent factors for DSS. The validation of the model using an external cohort proved its reliability. Conclusion The developed novel predictive model is shown to provide accurate and efficient predictive information for patients with ACC for different anatomic sites.