A clinical signature predicting the malignant transformation of inflammatory myofibroblastic tumor in the head and neck

Background Inflammatory myofibroblastic tumors in the head and neck (HNIMTs) sometimes show aggressive clinical features and can be diagnosed as HNIMT with malignant transformation. Methods The clinicopathological features of 45 HNIMTs with or without malignant transformation were retrospectively in...

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Published in:Laryngoscope investigative otolaryngology Vol. 7; no. 1; pp. 145 - 152
Main Authors: Peng, Cangbang, Chen, Ming Tao, Liu, Zheqi, Guo, Yibo, Zhang, Yu, Ji, Tong
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 01-02-2022
Wiley
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Summary:Background Inflammatory myofibroblastic tumors in the head and neck (HNIMTs) sometimes show aggressive clinical features and can be diagnosed as HNIMT with malignant transformation. Methods The clinicopathological features of 45 HNIMTs with or without malignant transformation were retrospectively investigated. Logistic regression and receiver operating characteristic analysis were used to establish the predictive model. Results HNIMT with malignant transformation was associated with worse prognosis. HNIMT with a tumor size of >4.4 cm, tumors located in the maxillary sinus, or a preoperative neutrophil‐to‐lymphocyte ratio (NLR) greater than 1.958 were associated with higher chance of malignant transformation, with an AUC value of 0.9189. Postoperative radiotherapy could benefit HNIMT patients with high risk of malignant transformation. Conclusions HNIMT patients with a tumor size of >4.4 cm, tumors located in the maxillary sinus, and a preoperative NLR over 1.958 were associated with a higher risk of malignant transformation. These patients can benefit from postoperative radiotherapy.
Bibliography:Funding information
Cangbang Peng, MingTao Chen, and Yu Zhang were contributed equally to this work.
Biobank Program of Shanghai Ninth People's Hospital, Grant/Award Number: YBKB201908; National Natural Science Foundation of China, Grant/Award Number: 81872189; Shenkang Development Center, Grant/Award Number: SHDC22017101
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Funding information Biobank Program of Shanghai Ninth People's Hospital, Grant/Award Number: YBKB201908; National Natural Science Foundation of China, Grant/Award Number: 81872189; Shenkang Development Center, Grant/Award Number: SHDC22017101
ISSN:2378-8038
2378-8038
DOI:10.1002/lio2.731