Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma.

ABSTRACT:

Background

Major salivary glands carcinoma (MSGC) is a relatively rare cancer with diverse histological types and biological behavior. The treatment planning and prognosis prediction are challenging for clinicians. The aim of the current study was to establish a reliable and effective nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) for MSGC patients.

Methods

Patients pathologically diagnosed with MSGC were recruited from Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into training and validation groups (7:3 ratio). Univariate, multivariate Cox proportional hazard models, and least absolute shrinkage and selection operator (LASSO) regression were adopted for the selection of risk factors. Nomograms were develo

SUBMITTER: Guo Z 

PROVIDER: S-EPMC8421927 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature