A prognostic model for oral squamous cell carcinoma patients with type 2 diabetes mellitus

Xin Hu; Haofeng Xiong; Shiying Huang; Liujun Zeng; Tong Su

doi:10.1016/j.archoralbio.2023.105735

A prognostic model for oral squamous cell carcinoma patients with type 2 diabetes mellitus

Arch Oral Biol. 2023 Aug:152:105735. doi: 10.1016/j.archoralbio.2023.105735. Epub 2023 May 23.

Authors

Xin Hu¹, Haofeng Xiong¹, Shiying Huang¹, Liujun Zeng¹, Tong Su²

Affiliations

¹ Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China; Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China; Institute of Oral Precancerous Lesions, Central South University, Changsha, China.
² Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China; Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China; Institute of Oral Precancerous Lesions, Central South University, Changsha, China. Electronic address: sutong@csu.edu.cn.

PMID: 37244089
DOI: 10.1016/j.archoralbio.2023.105735

Abstract

Objective: To build a prognostic model for oral squamous cell carcinoma patients with type 2 diabetes mellitus.

Design: Oral squamous cell carcinoma patients with type 2 diabetes mellitus in Xiangya Hospital were studied. Patients during January 2011 to January 2015 were included in training set (n = 146), and those during January 2017 to December 2020 were included in test set (n = 81). Univariate and multivariate Cox regressions were used to screen independent prognostic variables. Nomogram was used to show the model. C-index, internal bootstrap resampling and external validation were used to evaluate the model.

Results: Six independent prognostic factors (T stage, N stage, pathological grade, metformin use, sulfonylureas use, and fasting blood glucose) were screened from training set. Based on the six variables, nomogram was constructed to predict the prognosis of oral squamous cell carcinoma patients with type 2 diabetes mellitus. C-index value was 0.728, and result of internal bootstrap resampling showed better prediction efficiency for one-year survival. All patients were divided into two groups according to total points calculated based on the model. Group with low total points experienced better survival than that with high total points both in training set and test set.

Conclusions: The model provides a relatively accurate method to predict the prognosis of oral squamous cell carcinoma patients with type 2 diabetes mellitus.

Keywords: Nomograms; Oral squamous cell carcinoma; Type 2 diabetes mellitus.

MeSH terms

Carcinoma, Squamous Cell* / pathology
Diabetes Mellitus, Type 2* / complications
Head and Neck Neoplasms*
Humans
Mouth Neoplasms*
Prognosis
Squamous Cell Carcinoma of Head and Neck