Evaluating the Prediction of Breast Cancer Survival Using Lymph Node Ratio

Man Hung; Julie Xu; Dominique Nielson; Jerry Bounsanga; Yushan Gu; Alec Roger Hansen; Maren Wright Voss

추천

검색

자료유형: 학술저널

저자정보: Man Hung (University of Utah School of Medicine USA) Julie Xu (University of Utah School of Medicine) Dominique Nielson (University of Utah School of Medicine) Jerry Bounsanga (University of Utah School of Medicine) Yushan Gu (University of Utah School of Medicine) Alec Roger Hansen (University of Utah School of Medicine) Maren Wright Voss (University of Utah School of Medicine)

저널정보: 한국유방암학회 Journal of Breast Cancer Journal of Breast Cancer Vol.21 No.3

발행연도: 2018.1

수록면: 315 - 320 (6page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Purpose: Previous oncological studies showed that lymph node ratio (LNR) (ratio of number of lymph nodes that tested positive for metastasis to the total number of lymph nodes examined) is a negative indicator of cancer survival. The American Joint Committee on Cancer (AJCC) staging system incorporates tumor size, lymph node involvement, and metastasis in a comprehensive model of cancer progression, but LNR alone has been shown to outperform the AJCC system in prognostic and survival predictions for various types of cancer. The effectiveness of LNR has not been evaluated in breast cancer staging. Evaluating LNR for predicting cancer staging in breast cancer has the potential to improve treatment recommendations. Methods: The Surveillance, Epidemiology, and End Results dataset was used to identify 10,655 breast cancer patients who underwent nodal evaluation from 2010 to 2013, and their LNRs were calculated. Descriptive statistics of lymph node evaluation in the patients are provided. Logistic regression with LNR as the continuous independent variable was conducted to determine whether LNR could predict cancer progression, coded as regional or distant. Analysis was conducted using SPSS version 24. Results: Patient’s mean age was 59.43±18.62. Logistic regression analysis revealed that for every 1.3% increase in LNR, the odds of falling into the distant stage of the TNM staging system increased by 13.7% (odds ratio, 14.73; 95% confidence interval, 12.00–18.08). Conclusion: LNR, while correlated with breast cancer staging, serves as a better predictor of survival. Precision staging can influence treatment modality, and improved treatments can significantly improve quality of life. Additional research and diagnostic examinations using LNR as a potential tool for accurate staging in breast cancer patients are warranted.

참고문헌 (30)

참고문헌 신청

Siegel RL / 2016 / Cancer statistics, 2016 / CA Cancer J Clin 66:7~30

Brandt J / 2015 / Age at diagnosis in relation to survival following breast cancer: a cohort study / World J Surg Oncol 13:33

Oeffinger KC / 2015 / Breast cancer screening for women at average risk: 2015 guideline update from the American Cancer Society / JAMA 314:1599~1614

Edge SB / 2010 / The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM / Ann Surg Oncol 17:1471~1474

Greene FL / 2002 / AJCC Cancer Staging Manual / Springer-Verlag

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!