J Cancer 2021; 12(17):5153-5163. doi:10.7150/jca.54475 This issue

Research Paper

Development and Validation of a Nomogram based on cell growth-related Biomarkers for Oral Squamous Cell Carcinoma

Yanjie Shuai#, Yuansheng Duan#, Mengqian Zhou#, Kai Yue, Dandan Liu, Yan Fang, Yuxuan Wang, Yansheng Wu, Ze Zhang, Xudong Wang

Department of Maxillofacial & E.N.T oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Tianjin Cancer Institute, National Clinical Research Center of Cancer, Tianjin, China.
#Co-first authors.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Shuai Y, Duan Y, Zhou M, Yue K, Liu D, Fang Y, Wang Y, Wu Y, Zhang Z, Wang X. Development and Validation of a Nomogram based on cell growth-related Biomarkers for Oral Squamous Cell Carcinoma. J Cancer 2021; 12(17):5153-5163. doi:10.7150/jca.54475. Available from https://www.jcancer.org/v12p5153.htm

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Graphic abstract

Purpose: We aimed to develop a prognostic nomogram based on immunohistochemistry (IHC) biomarkers of patients with oral squamous cell carcinoma (OSCC).

Methods: A total of 294 patients were enrolled in the study. The least absolute shrinkage and selection operator (LASSO) Cox regression model was performed to develop a combined IHC score (IHCs) classifier.

Results: Five biomarkers, specifically c-Met, Vimentin, HIF-2α, VEGF-c, and Bcl-2 were extracted. Then, an IHCs classifier was developed, and patients were stratified into high- and low-IHCs groups. In the training cohort, the 5-year overall survival (OS) was 62.1% in low-IHCs group and 28.2% in high-IHCs group (P<0.001). The 5-year OS was 68.6% for the low-IHCs group and 28.4% for the high-IHCs group in the validation cohort (P<0.001). The area under the ROC curve (AUROC) of the combination of the IHCs classifier and TNM stage was 0.746 (95% CI: 0.658-0.833) in the training cohort and 0.735 (95% CI: 0.651-0.818) in the validation cohort, respectively.

Conclusions: The nomogram could effectively predict the prognosis for patients with OSCC and may be employed as a potential tool to guide the individual decision-making process.

Keywords: oral squamous cell carcinoma, immunohistochemistry, biomarkers, nomogram, prognosis