An effective tool for predicting survival in breast cancer patients with de novo lung metastasis: Nomograms constructed based on SEER.

ABSTRACT:

Background & objectives

An effective tool for forecasting the survival of BCLM is lacking. This study aims to construct nomograms to predict overall survival (OS) and breast cancer-specific survival (BCSS) in breast cancer patients with de novo lung metastasis, and to help clinicians develop appropriate treatment regimens for breast cancer lung metastasis (BCLM) individuals.

Methods

We gathered clinical data of 2,537 patients with BCLM between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox regression analysis was employed to identify independent prognostic parameters for BCLM, which were integrated to establish nomograms by R software. The discriminative ability and predictive accuracy of the nomograms were assessed using the c

SUBMITTER: Wang W 

PROVIDER: S-EPMC9852616 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature