Construction of a nomogram model based on biomarkers for liver metastasis in non-small cell lung cancer.

ABSTRACT:

Background

Patients with non-small cell lung cancer (NSCLC) with liver metastasis have a poor prognosis, and there are no reliable biomarkers for predicting disease progression. Currently, no recognized and reliable prediction model exists to anticipate liver metastasis in NSCLC, nor have the risk factors influencing its onset time been thoroughly explored.

Methods

This study conducted a retrospective analysis of 434 NSCLC patients from two hospitals to assess the association between the risk and timing of liver metastasis, as well as several variables.

Results

The patients were divided into two groups: those without liver metastasis and those with liver metastasis. We constructed a nomogram model for predicting liver metastasis in NSCLC, incorporating elements such a

SUBMITTER: Zhang T 

PROVIDER: S-EPMC11462952 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature