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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Developing a nomogram based on SEER database for predicting prognosis in choroid plexus tumors.

Zedi Yang1, Heng Jiang2, Ding He1

  • 1Department of Neurosurgery, The First Hospital of Jilin University, Changchun, 130021, China.

Scientific Reports
|May 28, 2024
PubMed
Summary

This study analyzed 808 choroid plexus tumor (CPT) cases, identifying key prognostic factors like age and treatment. A new nomogram accurately predicts CPT patient survival, aiding clinical decisions.

Keywords:
Choroid plexus tumorEpidemiologyNomogramPrognosisSEER program

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Area of Science:

  • Neuro-oncology
  • Epidemiology
  • Cancer Prognostics

Background:

  • Choroid plexus tumors (CPTs) are rare, highly vascular neoplasms with three main types: papilloma, atypical papilloma, and carcinoma (CPC).
  • Understanding CPT epidemiology and survival is crucial for patient management.

Purpose of the Study:

  • To investigate the epidemiology and survival rates of patients diagnosed with CPTs.
  • To develop and validate a prognostic nomogram for CPT patients.

Main Methods:

  • Utilized data from 808 CPT patients diagnosed between 2000-2020 from the Surveillance, Epidemiology, and End Results database.
  • Employed descriptive analysis, univariate and multivariate Cox regression for factor identification.
  • Validated the nomogram using ROC curves, decision curve analysis (DCA), and calibration curves.

Main Results:

  • Identified independent prognostic factors: age, tumor size, surgery, chemotherapy, tumor number, pathology, and race.
  • The nomogram demonstrated strong predictive accuracy with AUCs ranging from 0.836 to 0.922 across time points.
  • Choroid plexus carcinoma (CPC) showed the poorest prognosis among the histopathological subtypes.

Conclusions:

  • The developed nomogram accurately predicts CPT prognosis, offering valuable clinical utility for decision-making.
  • CPTs can occur at any age, with CPC representing the most aggressive form.
  • The nomogram's performance suggests it can effectively guide patient management and treatment strategies.