Survival analysis and establishment of prognostic nomograms for primary breast signet ring cell carcinoma.

ABSTRACT: Primary breast signet ring cell carcinoma (BSRCC) is an extremely rare malignancy with poor prognosis. Few consensus exists regarding the prognostic factors and treatment modalities. This study aimed to develop a nomogram model to predict survival probability and guide clinical treatment for BSRCC patients. Clinicopathological data of BSRCC patients were retrieved from SEER database. Univariate and multivariate Cox regression analyses were performed to screen and identify prognostic factors. Kaplan-Meier method was used to describe the survival curve for each prognostic factor. Additionally, these factors were incorporated to construct nomograms for predicting overall survival (OS) and disease-specific survival (DSS) of BSRCC patients. The nomograms were internally validated using receiver

SUBMITTER: Cai C 

PROVIDER: S-EPMC11994815 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature