Nomograms for predicting the prognosis in multiple primary esophageal squamous cell carcinoma

  • 0Department of Thoracic Surgery, Sun Yat-sen Memorial Hospital, Guangzhou, China.

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Summary

This summary is machine-generated.

Predicting survival for synchronous multiple primary esophageal squamous cell carcinomas (SMPESCs) is difficult. New nomograms can now forecast survival outcomes and guide treatment strategies for these rare cases.

Area Of Science

  • Oncology
  • Cancer Research
  • Surgical Oncology

Background

  • Synchronous multiple primary esophageal squamous cell carcinomas (SMPESCs) are rare, making survival prediction challenging.
  • Developing predictive tools is crucial for effective therapeutic strategies in SMPESC patients.

Purpose Of The Study

  • To construct nomograms for predicting survival outcomes in patients with SMPESCs.
  • To identify independent prognostic factors for disease-free survival (DFS) and overall survival (OS).
  • To evaluate the impact of postoperative adjuvant therapy on SMPESC patients with lymph node metastasis.

Main Methods

  • Retrospective analysis of clinical and survival data from 135 SMPESC patients.
  • Univariate and multivariate Cox regression analyses to identify prognostic factors.
  • Nomogram construction and internal validation using concordance indices and decision curve analysis.

Main Results

  • Age, lesion site, lymph node metastasis, lymph nodes dissected, lactate dehydrogenase, and lymphocyte-to-monocyte ratio were independent prognostic factors for DFS and OS.
  • Nomograms demonstrated good predictive accuracy with concordance indices of 0.752 (DFS) and 0.756 (OS).
  • Postoperative adjuvant therapy significantly improved OS, but not DFS, in patients with lymph node metastasis.

Conclusions

  • The developed nomograms effectively predict 1-, 3-, and 5-year survival outcomes for SMPESC patients.
  • Adjuvant therapy may enhance overall survival in SMPESC patients with lymph node metastasis.

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