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Prognostic nomogram for primary splenic lymphoma: a SEER database-based study.

Fan Chen1, Hong Long2, Jiachun Ding1

  • 1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University No. 277, West Yanta Road, Yanta District, Xi'an 710061, Shaanxi, China.

American Journal of Cancer Research
|January 8, 2024
PubMed
Summary

This study developed a nomogram to predict survival for primary splenic lymphoma (PSL) patients. The model accurately forecasts overall survival (OS) and cancer-specific survival (CSS), offering a practical tool for personalized patient care.

Keywords:
Primary splenic lymphomacancer-specific survivalnomogramoverall survival

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Area of Science:

  • Oncology
  • Medical Statistics
  • Hematology

Background:

  • Primary splenic lymphoma (PSL) is a rare malignancy with variable prognoses.
  • Accurate prediction of patient survival is crucial for effective treatment planning and management.
  • Existing prognostic models for PSL may lack comprehensive validation or clinical applicability.

Purpose of the Study:

  • To develop and validate a nomogram model for predicting overall survival (OS) and cancer-specific survival (CSS) in patients with primary splenic lymphoma (PSL).
  • To identify key clinicopathological factors influencing PSL prognosis.
  • To provide a practical tool for individualized survival prediction in clinical settings.

Main Methods:

  • Retrospective analysis of 4074 patients with PSL from the SEER database and a single institution.
  • Development of a nomogram using univariate and multivariate Cox regression analysis.
  • Internal and external validation of the nomogram using concordance index (C-index), ROC curves, calibration curves, and decision curve analysis (DCA).

Main Results:

  • The nomogram demonstrated good predictive ability for both OS and CSS.
  • Key predictors for OS included age, sex, marital status, Ann Arbor stage, histology, surgery, chemotherapy, and year at diagnosis.
  • Key predictors for CSS included age, Ann Arbor stage, histology, chemotherapy, and year at diagnosis. C-indices ranged from 0.672 to 0.704 for OS and 0.676 to 0.685 for CSS across datasets.

Conclusions:

  • The developed nomogram is a reliable and clinically applicable tool for predicting OS and CSS in PSL patients.
  • The model facilitates rapid and accurate individualized survival predictions.
  • This tool can aid clinicians in optimizing treatment strategies and patient counseling for primary splenic lymphoma.