A novel nomogram and survival analysis for different lymph node status in breast cancer based on the SEER database
- Lizhi Teng 1,2,3,4, Juntong Du 1,2,3,4, Shuai Yan 1,2,3,4, Peng Xu 1,2,3,4, Jiangnan Liu 1, Xinyang Zhao 1,2,3,4, Weiyang Tao 5,6,7,8
- Lizhi Teng 1,2,3,4, Juntong Du 1,2,3,4, Shuai Yan 1,2,3,4
- 1Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
- 2Key Laboratory of Acoustic, Optical and Electromagnetic Diagnosis and Treatment of Cardiovascular Diseases, Harbin, Heilongjiang, China.
- 3Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Harbin, Heilongjiang, China.
- 4NHC Key Laboratory of Cell Transplantation, Heilongjiang, China.
- 5Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. twyssci@outlook.com.
- 6Key Laboratory of Acoustic, Optical and Electromagnetic Diagnosis and Treatment of Cardiovascular Diseases, Harbin, Heilongjiang, China. twyssci@outlook.com.
- 7Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Harbin, Heilongjiang, China. twyssci@outlook.com.
- 8NHC Key Laboratory of Cell Transplantation, Heilongjiang, China. twyssci@outlook.com.
- 0Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
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View abstract on PubMed
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.
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