Nomogram for predicting survival in breast cancer with lung metastasis based on SEER data.

ABSTRACT:

Background

The incidence of breast cancer (BC) has been steadily increasing, highlighting the need for a predictive model to assess the survival prognosis of BC patients. The objective of this research was to formulate a prognostic nomogram framework tailored to forecast survival among individuals diagnosed with BC with lung metastasis (BCLM).

Methods

Our information was sourced from the Surveillance, Epidemiology, and End Results (SEER) database. Individuals who were diagnosed with BC from 2010 to 2015 were selected. The 4,309 collected participants were randomly separated into a training cohort (n=3,231) and a validation cohort (n=1,078). In this study, age, marital status, race, tumor location, laterality, type of primary surgery, surgical margin, tumor grade, tumor (T) s

SUBMITTER: Chen CL 

PROVIDER: S-EPMC11912048 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature