A novel nomogram and survival analysis for different lymph node status in breast cancer based on the SEER database

  • 0Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.

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Summary

This summary is machine-generated.

This study developed a nomogram to predict breast cancer survival based on lymph node status. The tool aids clinicians in treatment decisions by offering improved prognostic accuracy for overall and breast cancer-specific survival.

Area Of Science

  • Oncology
  • Biostatistics
  • Cancer Prognostics

Background

  • Axillary lymph node status (ALNS) and internal mammary lymph node (IMLN) metastases are critical prognostic indicators in breast cancer.
  • Accurate prediction of survival is essential for guiding patient treatment and management strategies.
  • Existing prognostic models may not fully capture the nuances of different lymph node statuses.

Purpose Of The Study

  • To develop and validate a predictive nomogram for 3-, 5-, and 10-year survival in breast cancer patients.
  • To assess the prognostic value of various axillary lymph node statuses, including isolated tumor cells (ITC) and micrometastases (Mic).
  • To evaluate the impact of internal mammary lymph node (IMLN) involvement on patient survival.

Main Methods

  • Utilized data from 279,078 breast cancer patients (2004-2015) from the SEER database.
  • Employed Chi-square, Kaplan-Meier, log-rank tests, and Cox regression analyses for statistical evaluation.
  • Constructed a nomogram using R studio, validated with Receiver Operating Characteristic (ROC), calibration, and Decision Curve Analysis (DCA).

Main Results

  • The developed nomogram demonstrated good predictive accuracy for overall survival (OS) and breast cancer-specific survival (BCSS) across different time points (3, 5, 10 years).
  • Area Under Curve (AUC) values for overall OS ranged from 71.2% to 74.7%, and for BCSS from 75.5% to 82.2%.
  • Specific analyses for ITC, Mic, and IMLN groups showed varying but significant predictive capabilities, with ROC, calibration, and DCA curves confirming the nomogram's utility.

Conclusions

  • This study presents the first nomogram to integrate diverse axillary lymph node statuses and IMLN metastases for breast cancer survival prediction.
  • The nomogram provides a valuable tool for clinicians, enhancing prognostic accuracy and aiding in personalized treatment decisions.
  • The findings underscore the importance of detailed lymph node staging for improved breast cancer patient outcomes.