Development of a novel signature derived from single cell RNA‐sequencing for preoperative prediction of lymph node metastasis in head and neck squamous cell carcinoma

• Published in: Head & neck Vol. 44; no. 10; pp. 2171 - 2180
• Main Authors: Dai, Yibin, Wang, Ziyu, Yan, Enshi, Li, Jin, Ge, Han, Xiao, Na, Cheng, Jie, Diao, Pengfei
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.10.2022; Wiley Subscription Services, Inc
• Subjects: Decision making; gene signature; Head & neck cancer; Head and neck carcinoma; head and neck squamous cell carcinoma; LNM nomogram; lymph node metastasis; Lymph nodes; Metastases; mRNA; Nomograms; Predictions; preoperative prediction; Squamous cell carcinoma
• ISSN: 1043-3074; 1097-0347
• DOI: 10.1002/hed.27126

Background Lymph node metastasis (LNM) is considered as an adverse prognostic indicator for cancer patients. Preoperative knowledge of LNM is valuable for pretreatment decision making. Here, we sought to develop and validate an LNM signature for preoperative prediction of LNM in patients with head and neck squamous cell carcinoma (HNSCC). Methods By studying single cell RNA‐sequencing data (scRNA‐seq), differentially expressed mRNA were selected and analyzed through univariate logistic regression and least absolute shrinkage and selection operator (LASSO) to identify an LNM signature. Multivariate logistic regression was utilized to establish an LNM nomogram incorporating LNM signature and T‐classification. Results The LNM signature was significantly associated with lymph node status and prognosis. The LNM signature and LNM nomogram displayed a robust predictive effect. Conclusion Our study reveals that LNM signature is a powerful biomarker for preoperative prediction of LNM in patients with HNSCC, which may be effective to realize individualized outcome prediction.