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Cancer cell international, 2021-04, Vol.21 (1), p.224-224, Article 224
2021
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Details

Autor(en) / Beteiligte
Titel
A nomogram for predicting survival of head and neck mucosal melanoma
Ist Teil von
  • Cancer cell international, 2021-04, Vol.21 (1), p.224-224, Article 224
Ort / Verlag
England: BioMed Central
Erscheinungsjahr
2021
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • We aimed to understand the clinical characteristics and better predict the prognosis of patients with mucosal melanoma of the head and neck (MMHN) using a nomogram. Three hundred patients with nometastatic MMHN were included. Multivariable Cox regression was performed to analyze independent prognostic factors for overall survival (OS), disease-free survival (DFS), distant metastasis-free survival (DMFS), and locoregional relapse-free survival (LRRFS), and these factors were used to develop a nomogram. Concordance indexes (C-indexes), calibration plots, and receiver operating characteristic (ROC) analysis were performed to test the predictive performance of the nomogram in both the primary (n = 300) and validation cohorts (n = 182). The primary tumor site, T stage and N stage were independent risk factors for survival and were included in the nomogram to predict the 3- and 5-year OS, DFS, DMFS, and LRRFS in the primary cohort. The C-indexes (both > 0.700), well-fit calibration plots, and area under the ROC curve (both > 0.700) indicated the high diagnostic accuracy of the nomogram, in both the primary and validation cohorts. The patients were divided into three groups (high-risk, intermediate-risk, and low-risk groups) according to their nomogram scores. The survival curves of OS, DFS, DMFS, and LRRFS were well separated by the risk groups in both cohorts (all P < 0.001). The nomogram can stratify MMHN patients into clinically meaningful taxonomies to provide individualized treatment.
Sprache
Englisch
Identifikatoren
ISSN: 1475-2867
eISSN: 1475-2867
DOI: 10.1186/s12935-021-01927-7
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_841263cf8d034b2ab3e0f6c8e2ce0ced

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