The influence of microvessel density and microlymphatic vessel density on prognosis in hypopharyngeal carcinoma and the construction.
10.13201/j.issn.2096-7993.2025.12.008
- Author:
Cong XU
1
;
Lanzhen CUI
1
;
Xiaoxiao LIU
1
;
Jing BAI
1
;
Lijun ZHANG
1
;
Yu PENG
1
;
Xiaoming LI
1
Author Information
1. Department of Otolaryngology Head and Neck Surgery，the 980th Hospital of the People's Liberation Army Joint Logistics Support Force，Shijiazhuang，050082，China.
- Publication Type:Journal Article
- Keywords:
hypopharyngeal squamous cell carcinoma;
microlymphatic vessels density;
microvessel density;
nomogram
- MeSH:
Humans;
Hypopharyngeal Neoplasms/blood supply*;
Prognosis;
Retrospective Studies;
Microvascular Density;
Nomograms;
Lymphatic Vessels/pathology*;
Male;
Female;
Middle Aged;
Carcinoma, Squamous Cell/blood supply*;
Microvessels/pathology*;
Lymphatic Metastasis;
Survival Rate
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(12):1143-1149
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study aims to investigate the influence of microvessel density（MVD） and microlymphatic vessel density（MLVD） on the prognosis of patients with hypopharyngeal squamous cell carcinoma（HPSCC） and to develop a nomogram prediction model for prognosis based on pathological characteristics. Methods:A retrospective analysis was conducted on clinicopathological and follow-up data from HPSCC patients who underwent surgical treatment at our institution between June 2010 and June 2020. Immunohistochemical staining was performed on tumor tissues and adjacent normal margin tissues to evaluate MVD and MLVD. The associations among MVD, MLVD, and clinicopathological features were analyzed. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors affecting overall survival（OS）. Based on these findings, a nomogram model was constructed and its predictive accuracy was assessed using C-index, receiver operating characteristic（ROC） curve, and calibration curve. Results:Both MVD and MLVD were significantly higher in HPSCC tumor tissues compared to normal tissues. Patients in the high MVD and high MLVD groups exhibited significantly lower OS rates than those in the low MVD and low MLVD groups. Multivariate Cox regression analysis revealed that N stage, recurrence, nerve invasion, lymph node capsule invasion, MVD, and MLVD were independent prognostic factors of OS. Based on these factors, a nomogram prognosis model was successfully constructed. The nomograms demonstrated superior performance in terms of C-index, area under the ROC curve, and calibration, outperforming the AJCC TNM staging system. Conclusion:Elevated MVD and MLVD levels are associated with poorer prognosis in HPSCC patients. The nomogram model based on pathological features provides valuable insights for clinical assessment and decision-making.
