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Wang Z, Chong W, Zhang H, Liu X, Zhao Y, Guo Z, Fu L, Ma Y, Gu F. Breast Cancer Patients With Positive Apical or Infraclavicular/Ipsilateral Supraclavicular Lymph Nodes Should Be Excluded in the Application of the Lymph Node Ratio System. Front Cell Dev Biol 2022; 10:784920. [PMID: 35445014 PMCID: PMC9013846 DOI: 10.3389/fcell.2022.784920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 02/21/2022] [Indexed: 11/28/2022] Open
Abstract
Aim: Increasing studies have demonstrated lymph node ratio (LNR) to be an accurate prognostic indicator in breast cancer and an alternative to pN staging; however, the AJCC-TNM staging system classified apical or infraclavicular/ipsilateral supraclavicular lymph node-positive (APN(+)) patients with a worse prognosis as the pN3 stage. Until now, different reports on LNR in breast cancer have ignored this possibility. Consequently, it is necessary to discuss the role of APN(+) patients in the LNR system to obtain a precise LNR that predicts the prognosis accurately. Materials and Methods: We collected data on 10,120 breast cancer patients, including 3,936 lymph node-positive patients (3,283 APN(−) and 653 APN(+) patients), who visited our hospital from 2007 to 2012. Then we applied X-tile analysis to calculate cut-off values and conduct survival analysis and multivariate analysis to evaluate patients’ prognosis. Results: We confirmed that some APN(+) patients were mis-subgrouped according to previously reported LNR, indicating that APN(+) patients should be excluded in the application of LNR to predict prognosis. Then we applied X-tile analysis to calculate two cut-off values (0.15 and 0.34) for LNR-APN(−) patients and conducted survival analysis and found that LNR-APN(−) staging was superior to pN staging in predicting the prognosis of APN(−) breast cancer patients. Conclusion: From this study, we conclude that excluding APN(+) patients is the most necessary condition for effective implementation of the LNR system. LNR-APN(−) staging could be a more comprehensive approach in predicting prognosis and guiding clinicians to provide accurate and appropriate treatment.
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Affiliation(s)
- Zhe Wang
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Wei Chong
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Huikun Zhang
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Xiaoli Liu
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Yawen Zhao
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Zhifang Guo
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Li Fu
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yongjie Ma
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
- *Correspondence: Yongjie Ma, ; Feng Gu,
| | - Feng Gu
- Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, China
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- *Correspondence: Yongjie Ma, ; Feng Gu,
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Wang X, Ji C, Chi H, Wang H. How many ELNs are optimal for breast cancer patients with more than three PLNs who underwent MRM? A large population-based study. Onco Targets Ther 2018. [PMID: 29520151 PMCID: PMC5833798 DOI: 10.2147/ott.s152936] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background Few studies have focused on the optimal threshold of examed lymph nodes (ELNs) for breast cancer patients with more than three positive lymph nodes after modified radical mastectomy. Materials and methods The X-tile and the minimum P-value models were applied to determine the optimal threshold. Cox proportional hazard analysis was used to analyze the cancer-specific survival and perform subgroup analysis. Results The results showed that 12 ELNs was the optimal threshold for these patients, and the patients with >12 ELNs had a better cancer-specific survival benefit compared with the patients with <12 ELNs (P<0.001). Conclusion The number 12 can be selected as the optimal threshold of ELNs for breast cancer patients with >3 positive lymph nodes after modified radical mastectomy.
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Affiliation(s)
- Xiaohui Wang
- Research Service Office, Shandong Liaocheng People's Hospital, Liaocheng, China
| | - Changbin Ji
- Orthopedics Department, Shandong Liaocheng People's Hospital, Liaocheng, China
| | - Huiying Chi
- Shanghai Geriatrics Institute of Traditional Chinese Medicine, Shanghai, China
| | - Haiyong Wang
- Department of Internal Medicine-Oncology, Shandong Cancer Hospital and Institute, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China
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Rogoz B, Houzé de l'Aulnoit A, Duhamel A, Houzé de l'Aulnoit D. Thirty-Year Trends of Survival and Time-Varying Effects of Prognostic Factors in Patients With Metastatic Breast Cancer-A Single Institution Experience. Clin Breast Cancer 2017; 18:246-253. [PMID: 28988656 DOI: 10.1016/j.clbc.2017.08.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 08/11/2017] [Accepted: 08/21/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND Metastatic breast cancer is generally considered an incurable disease. In our study we aimed to detect a time trend of survival over the past 30 years and account for time-varying effects of the prognostic factors. PATIENTS AND METHODS A total of 446 patients diagnosed with breast cancer at Saint Vincent de Paul Hospital, Lille, France between 1977 and 2013 who developed metastatic disease after a disease-free interval longer than 3 months and were followed-up for outcome. Data were analyzed using the Cox proportional hazards model and presented as hazard ratios (HRs). RESULTS A monotonic time trend of survival was detected: a 2.6% lower risk of death for each increasing year over the past 30 years. Three prognostic factors had time-varying effects; the liver first metastasis (HR during the first 16 months of follow-up: 2.26; 95% confidence interval [CI], 1.65-3.11), the bone first metastasis (HR during the first 24 months of follow-up: 0.56; 95% CI, 0.43-0.74), and the disease-free interval (HR during the first 16 months of follow-up: 0.90; 95% CI, 0.85-0.95). The brain first metastasis, multiple first metastases, the lymph node ratio, and estrogen receptor status had a constant effect over time. CONCLUSION In our study we detected a constant time trend of improvement in prognosis of metastatic breast cancer patients over the past 30 years and identified prognostic factors with time-varying effects.
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Affiliation(s)
- Bianca Rogoz
- Departement of Obstetrics and Gynaecology, Saint Vincent de Paul Hospital, Catholic University of Lille, Lille, France.
| | - Agathe Houzé de l'Aulnoit
- Departement of Obstetrics and Gynaecology, Saint Vincent de Paul Hospital, Catholic University of Lille, Lille, France
| | | | - Denis Houzé de l'Aulnoit
- Departement of Obstetrics and Gynaecology, Saint Vincent de Paul Hospital, Catholic University of Lille, Lille, France
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The appropriate number of ELNs for lymph node negative breast cancer patients underwent MRM: a population-based study. Oncotarget 2017; 8:65668-65676. [PMID: 29029462 PMCID: PMC5630362 DOI: 10.18632/oncotarget.20052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Accepted: 07/25/2017] [Indexed: 01/06/2023] Open
Abstract
Whether number of examed lymph nodes (ELNs) would bring survival benefit for patients with negative lymph nodes after modified radical mastectomy (MRM) is uncertain. In our study, using the Surveillance Epidemiology and End Results (SEER) database between 2004 and 2009, we screened the appropriate patients with negative lymph nodes underwent MRM. The Cox proportional hazard analysis was used to determine the effect of number of ELNs on cancer specific survival (CSS). The results showed that the number of ELNs was not an independent prognostic factor on CSS (P = 0.940). Then the X-tile mode was used to determine the appropriate threshold for ELNs count. The results showed that 9 was the appropriate cut-off point. Next, the log-rank χ2 test was used to analyze the CSS based on different subgroup variables. The results showed that some subgroup variables including age < 50/ ≥ 50, grade I/III, AJCC T1/T2, ER positive/negative and PR positive/negative ,demonstrated significant CSS benefits among the patients with the number of ELNs ≤ 9 (all, P < 0.05). However, three subgroup variables including grade II, AJCC T3 and AJCC T4, the patients with the number of ELNs ≤ 9 did not bring significant CSS benefits (all, P > 0.1). In conclusion, our study demonstrated that the number of ELNs was not an independent prognostic factor on CSS, and 9 can be selected as the appropriate cut-off point of ELNs for patients with negative lymph nodes who underwent MRM.
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Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ, Weaver DL, Winchester DJ, Hortobagyi GN. Breast Cancer-Major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin 2017; 67:290-303. [PMID: 28294295 DOI: 10.3322/caac.21393] [Citation(s) in RCA: 564] [Impact Index Per Article: 80.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Answer questions and earn CME/CNE The revision of the eighth edition of the primary tumor, lymph node, and metastasis (TNM) classification of the American Joint Commission of Cancer (AJCC) for breast cancer was determined by a multidisciplinary team of breast cancer experts. The panel recognized the need to incorporate biologic factors, such as tumor grade, proliferation rate, estrogen and progesterone receptor expression, human epidermal growth factor 2 (HER2) expression, and gene expression prognostic panels into the staging system. AJCC levels of evidence and guidelines for all tumor types were followed as much as possible. The panel felt that, to maintain worldwide value, the tumor staging system should remain based on TNM anatomic factors. However, the recognition of the prognostic influence of grade, hormone receptor expression, and HER2 amplification mandated their inclusion into the staging system. The value of commercially available, gene-based assays was acknowledged and prognostic input added. Tumor biomarkers and low Oncotype DX recurrence scores can alter prognosis and stage. These updates are expected to provide additional precision and flexibility to the staging system and were based on the extent of published information and analysis of large, as yet unpublished databases. The eighth edition of the AJCC TNM staging system, thus, provides a flexible platform for prognostic classification based on traditional anatomic factors, which can be modified and enhanced using patient biomarkers and multifactorial prognostic panel data. The eighth edition remains the worldwide basis for breast cancer staging and will incorporate future online updates to remain timely and relevant. CA Cancer J Clin 2017;67:290-303. © 2017 American Cancer Society.
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Affiliation(s)
- Armando E Giuliano
- Executive Vice Chair, Surgery; Associate Director, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - James L Connolly
- Professor of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA
| | - Stephen B Edge
- Vice President, Healthcare Outcomes and Policy, Roswell Park Cancer Institute, Buffalo, NY
| | - Elizabeth A Mittendorf
- Associate Professor, Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hope S Rugo
- Professor of Medicine; Director, Breast Oncology and Clinical Trials Education, University of California, San Francisco, San Francisco, CA
| | - Lawrence J Solin
- Chairman, Department of Radiation Oncology, Albert Einstein Healthcare Network, Philadelphia, PA
| | - Donald L Weaver
- Professor of Pathology, University of Vermont, Burlington, VT
| | - David J Winchester
- Associate Director, Kellogg Cancer Surgical Services, NorthShore University HealthSystem, Evanston, IL
| | - Gabriel N Hortobagyi
- Professor; Co-Director, Breast Cancer Research Program, The University of Texas MD Anderson Cancer Center, Houston, TX
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Hur MH, Ko S. Metastatic axillary node ratio predicts recurrence and poor long-term prognosis in patients with advanced stage IIIC (pN3) breast cancer. Ann Surg Treat Res 2017; 92:340-347. [PMID: 28480179 PMCID: PMC5416925 DOI: 10.4174/astr.2017.92.5.340] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 02/28/2017] [Accepted: 05/15/2017] [Indexed: 11/30/2022] Open
Abstract
Purpose Patients with stage IIIC breast cancer are classified as having pathologic nodal stage 3 (pN3) according to the 7th American Joint Committee on Cancer Tumor Node Metastasis (AJCC TNM) staging system. However, the prognosis of patients with this stage is still highly variable. This study was carried out to investigate the validity of metastatic axillary lymph node ratio (mALNR) as a predictor of long-term prognosis in stage IIIC breast cancer. Methods Medical records of 297 patients who underwent surgery with more than level II axillary dissection for breast cancer and who were diagnosed with pN3 by pathology between 1990 and 2010, were reviewed. Clinicopathologic variables were evaluated as prognostic factors of disease-free and overall survival by univariate and multivariate analyses. Results A preliminary analysis revealed the cutoff value of mALNR to be 0.65 (Low65 group vs. High65 group). The mean mALNR was 0.62 (0.16–1.0) and was the most significant independent predictor of disease-free and overall survival on multivariate analysis. The rates of recurrence were significantly different according to mALNR (Low65, 40.3%; High65, 63.0%; P < 0.001). The 10-year disease-free (Low65, 57.0%; High65, 35.0%) and overall (Low65, 64.2%; High65, 38.3%) survival rates decreased significantly with increased mALNR (P < 0.001). Conclusion Patients with stage IIIC breast cancer can be subdivided into subgroups with significantly different long-term prognoses. Our data suggest that the mALNR is an independent risk factor of recurrence and mortality. The mALNR is a valuable prognostic factor to predict the long-term prognosis of stage IIIC breast cancer patients.
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Affiliation(s)
- Min Hee Hur
- Department of Surgery, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - SeungSang Ko
- Department of Surgery, Cheil General Hospital, Dankook University College of Medicine, Seoul, Korea
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7
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Kim YY, Park HK, Lee KH, Kim KI, Chun YS. Prognostically Distinctive Subgroup in Pathologic N3 Breast Cancer. J Breast Cancer 2016; 19:163-8. [PMID: 27382392 PMCID: PMC4929257 DOI: 10.4048/jbc.2016.19.2.163] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Accepted: 05/23/2016] [Indexed: 11/30/2022] Open
Abstract
Purpose The aim of this retrospective study was to investigate whether there are prognostically different subgroups among patients with pathologic N3 (pN3) breast cancer. Methods The records of 220 patients who underwent surgery for pN3 breast cancer from January 2006 to September 2012 were reviewed. All patients received adjuvant therapy according to standard protocols. The primary outcome was disease-free survival (DFS). Results Patients were followed for a median time of 68.3 months after their primary surgery (range, 10–122 months), during which time 75 patients (34.1%) had developed disease recurrence and 48 patients (21.8%) had died. The DFS and overall survival were 67.8% and 86.1%, respectively, at 5 years. Multiple logistic regression analysis showed that young age (<35 years, p=0.009), high serum neutrophil/lymphocyte ratio (>3.0) (p=0.020), high nodal ratio (number of metastatic lymph nodes divided by number of removed nodes) (>0.65) (p=0.062), and molecular phenotype (p=0.012) were significantly associated with tumor recurrence. Tumor biological subtype was the most significant predictor of recurrence. The 5-year DFS rates in patients with hormone receptor (HR) positive and human epidermal growth factor receptor 2 (HER2) negative, HR+HER2+, HR–HER2+, and triple negative subtypes were 82%, 63%, 58%, and 37%, respectively. Conclusion Clinical outcomes of patients with extensive nodal metastasis were heterogeneous in terms of prognosis. Tumor biological subtype was the most important prognostic factor for pN3 disease. The prognosis of patients with HR+HER2– subtype in pN3 breast cancer was similar to that of patients with stage II breast cancer.
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Affiliation(s)
- Yun Yeong Kim
- Department of Surgery, Breast Cancer Center, Gachon University Gill Medical Center, Incheon, Korea
| | - Heung Kyu Park
- Department of Surgery, Breast Cancer Center, Gachon University Gill Medical Center, Incheon, Korea
| | - Kyung Hee Lee
- Department of Surgery, Breast Cancer Center, Gachon University Gill Medical Center, Incheon, Korea
| | - Kwan Il Kim
- Department of Surgery, Breast Cancer Center, Gachon University Gill Medical Center, Incheon, Korea
| | - Yong Soon Chun
- Department of Surgery, Breast Cancer Center, Gachon University Gill Medical Center, Incheon, Korea
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Kramer GM, Leenders MWH, Schijf LJ, Go HLS, van der Ploeg T, van den Tol MP, Schreurs WH. Is ultrasound-guided fine-needle aspiration cytology of adequate value in detecting breast cancer patients with three or more positive axillary lymph nodes? Breast Cancer Res Treat 2016; 156:271-8. [PMID: 26995283 DOI: 10.1007/s10549-016-3755-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 03/14/2016] [Indexed: 12/30/2022]
Abstract
This study evaluated the accuracy of ultrasound-guided fine-needle aspiration cytology of the sonographically most suspicious axillary lymph node (US/FNAC) to select early breast cancer patients with three or more tumour-positive axillary lymph nodes. Between 2004 and 2014, a total of 2130 patients with histologically proven early breast cancer were evaluated and treated in the Noordwest Clinics Alkmaar. US/FNAC was performed preoperatively in all these patients. We analysed the results of US/FNAC retrospectively. Pathological axillary node status (sentinel node biopsy and/or axillary lymph node dissection) was used as reference standard. A total of 634 (29.8 %) of 2130 patients had axillary lymph node metastases on final histology. 248 node positive patients (11.6 %) had three or more positive lymph nodes. The accuracy of US/FNAC to detect three or more positive lymph nodes was 89.8 %, sensitivity was 44.8 %, specificity was 95.7 %, PPV was 58.1 %, and NPV was 92.9 %. This study shows a more than adequate accuracy of preoperative US/FNAC to detect three or more positive lymph nodes (89.8 %). However, when US/FNAC was chosen as the only axillary staging method, 6.4 % of all patients (false negative group) would have been undertreated and 3.8 % of all patients (false positive group) would have been overtreated according to the ACOSOG Z0011 criteria.
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Affiliation(s)
- G M Kramer
- Department of Surgery, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands.
| | - M W H Leenders
- Department of Surgery, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands
| | - L J Schijf
- Department of Radiology, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands
| | - H L S Go
- Department of Radiology, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands
| | - T van der Ploeg
- Department of Statistics, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands
| | - M P van den Tol
- Department of Surgery, VU Medical Centre, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands
| | - W H Schreurs
- Department of Surgery, Noordwest Clinics Alkmaar, Wilhelminalaan 12, 1815JD, Alkmaar, The Netherlands
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Tseros EA, Gebski V, Morgan GJ, Veness MJ. Prognostic Significance of Lymph Node Ratio in Metastatic Cutaneous Squamous Cell Carcinoma of the Head and Neck. Ann Surg Oncol 2016; 23:1693-8. [DOI: 10.1245/s10434-015-5070-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Indexed: 01/08/2023]
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Jayasinghe UW, Pathmanathan N, Elder E, Boyages J. Prognostic value of the lymph node ratio for lymph-node-positive breast cancer- is it just a denominator problem? SPRINGERPLUS 2015; 4:121. [PMID: 25815246 PMCID: PMC4366431 DOI: 10.1186/s40064-015-0865-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 01/29/2015] [Indexed: 11/15/2022]
Abstract
Purpose To examine the prognostic value of lymph node ratio (LNR) for patients with node-positive breast cancer with varying numbers of minimum nodes removed (>5, > 10 and > 15 total node count). Methods This study examined the original histopathological reports of 332 node-positive patients treated in the state of New South Wales (NSW), Australia between 1 April 1995 and 30 September 1995. The LNR was defined as the number of positive lymph nodes (LNs) over the total number of LNs removed. The LNR cutoffs were defined as low-risk, 0.01–0.20; intermediate-risk, 0.21– 0.65; and high-risk, LNR >0.65. Results The median follow-up was 10.3 years. In multivariate analysis, LNR was an independent predictor of 10-year breast cancer specific survival when > 5 nodes were removed. However, LNR was not an independent predictor when > 15 nodes were removed. In a multivariate analysis the relative risk of death (RR) decreased from 2.20 to 1.05 for intermediate-risk LNR and from 3.07 to 2.64 for high-risk while P values increased from 0.027 to 0.957 for intermediate-risk LNR and 0.018 to 0.322 for high-risk with the number of nodes removed increasing from > 5 to > 15. Conclusions Although LNR is important for patients with low node denominators, for patients with macroscopic nodal metastases in several nodes following an axillary dissection who have more than 15 nodes dissected, the oncologist can be satisfied that prognosis, selection of adjuvant chemotherapy and radiotherapy fields can be based on the numerator of the positive nodes. Electronic supplementary material The online version of this article (doi:10.1186/s40064-015-0865-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Upali W Jayasinghe
- Westmead Breast Cancer Institute, Westmead, New South Wales Australia ; Faculty of Medicine, University of New South Wales, Sydney, New South Wales Australia
| | | | - Elisabeth Elder
- Westmead Breast Cancer Institute, Westmead, New South Wales Australia
| | - John Boyages
- Macquarie University Cancer Institute, Macquarie University, North Ryde, New South Wales Australia
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Ataseven B, Kümmel S, Weikel W, Heitz F, Holtschmidt J, Lorenz-Salehi F, Kümmel A, Traut A, Blohmer J, Harter P, du Bois A. Additional prognostic value of lymph node ratio over pN staging in different breast cancer subtypes based on the results of 1,656 patients. Arch Gynecol Obstet 2014; 291:1153-66. [PMID: 25367604 DOI: 10.1007/s00404-014-3528-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Accepted: 10/22/2014] [Indexed: 12/01/2022]
Abstract
PURPOSE Although the impact of lymph node ratio (LNR: ratio of metastatic to resected LNs) in breast cancer (BC) has been investigated, its prognostic value in molecular subtypes remains unclear. Our aim was to evaluate the impact of LNR compared to pN-stage in BC subtypes. PATIENTS/METHODS We analyzed the impact of LNR and pN-stage on disease-free (DFS) and overall survival (OS) in 1,656 patients with primary BC who underwent primary axillary surgery (removal of ≥10 LNs) between 1998 and 2011. The cut-off points for LNR were previously published. Using immunohistochemical parameters tumors were grouped in luminalA, luminalB/HER2-, luminalB/HER2+, HER2+ and triple negative (TNBC). RESULTS For the entire cohort 5/10-year DFS and OS rates were 88/77% and 88/75%, respectively. LNR and pN-stage were independent prognostic parameters for DFS/OS in multivariate analysis in the entire cohort and each molecular subgroup (p < 0.001). However, increasing LNR seemed to discriminated 10-year DFS slightly better than pN-stage in luminalA (intermediate/high LNR 65/44% versus pN2/pN3 71/53%), luminalB/HER2- (intermediate/high LNR 48/24% versus pN2/pN3 41/42%), and TNBC patients (intermediate/high LNR 49/24% versus pN2/pN3 56/33%). CONCLUSIONS LNR is an important prognostic parameter for DFS/OS and might provide potentially more information than pN-stage in different molecular subtypes.
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Affiliation(s)
- B Ataseven
- Department of Gynecology and Gynecologic Oncology, Evangelische Huyssens-Stiftung, Kliniken Essen-Mitte, Essen, Germany,
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12
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Chan RCL, Chan JYW. Impact of nodal ratio on survival in recurrent nasopharyngeal carcinoma. Head Neck 2014; 37:12-7. [PMID: 24307492 DOI: 10.1002/hed.23544] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2013] [Revised: 08/16/2013] [Accepted: 10/31/2013] [Indexed: 11/09/2022] Open
Affiliation(s)
- Richie Chiu-Lung Chan
- Division of Head and Neck Surgery, Department of Surgery; Queen Mary Hospital; Hong Kong China
| | - Jimmy Yu Wai Chan
- Division of Head and Neck Surgery, Department of Surgery; Queen Mary Hospital; Hong Kong China
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Wiznia LE, Lannin DR, Evans SB, Hofstatter EW, Horowitz NR, Killelea BK, Tsangaris TN, Chagpar AB. The number of lymph nodes dissected in breast cancer patients influences the accuracy of prognosis. Ann Surg Oncol 2013; 21:389-94. [PMID: 24132625 DOI: 10.1245/s10434-013-3308-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Indexed: 11/18/2022]
Abstract
BACKGROUND Recent trials have suggested that axillary node dissection may not be warranted in some breast cancer patients with one to two positive nodes. Given that lymph node ratio (LNR; number of positive lymph nodes divided by the total examined) has been shown to be a significant prognostic factor, we sought to determine whether the number of nodes removed in this low risk population predicted survival. METHODS The National Cancer Database is a comprehensive clinical surveillance resource capturing 70% of newly diagnosed malignancies in the United States; 309,216 breast cancer patients diagnosed between 1998 and 2005, with tumors ≤5 cm and one to two positive nodes, formed the cohort of interest. RESULTS Median age at diagnosis was 57 (range 18-90) years. Median tumor size was 2 (range 0.1-5) cm; 215,382 patients (69.7%) had one positive node, and 93,834 (30.3%) had two. The median number of lymph nodes examined was 11 (range 1-84). Patients were categorized into low (≤0.2), medium (0.21-0.65), or high (>0.65) LNR groups, with 228,822 (74%), 55,797 (18%), and 24,597 (8%) patients in each of these categories, respectively. Median follow-up was 54.1 months. Median overall survival (OS) for low, intermediate, and high LNR was 66.1, 61.1, and 56.5 months, respectively (p < 0.001). In a Cox model controlling for clinicopathologic and therapy covariates, LNR category remained a significant predictor of OS (p < 0.001). CONCLUSIONS LNR is an independent predictor of OS in a low-risk population with one to two positive nodes and tumors ≤5 cm. Therefore, the number of lymph nodes excised may influence prognostic stratification.
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Affiliation(s)
- Lauren E Wiznia
- Department of Surgery, Yale University School of Medicine, New Haven, CT, USA,
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14
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Lawn AM, Frampton AE, Krell J, Waheed S, Stacey-Clear A. Lymph node ratio can further stratify prognosis in subpopulations of breast cancer patients with axillary nodal metastases. Future Oncol 2013; 9:1425-31. [DOI: 10.2217/fon.13.154] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Evaluation of: Dings PJ, Elferink MA, Strobbe LJ, de Wilt JH. The prognostic value of lymph node ratio in node-positive breast cancer: a Dutch nationwide population-based study. Ann. Surg. Oncol. 20(8), 2607–2614 (2013). Breast cancer (BC) is the most common cancer in women worldwide and affects one in eight women in the UK at some point in their lifetime. Advances in treatment have led to greatly improved survival rates. Management of axillary lymph node (LN) metastases has been a controversial but evolving area of BC therapy. Positive LN status is of vital importance in determining long-term outcomes. Recent studies have shown that it is not only the absolute number of involved LNs, but also the ratio of metastatic to examined LNs (or LN ratio [LNR]) that confers prognostic information. In the evaluated article, a population-wide study was performed to elucidate the influence of LNR on mortality risk in Dutch BC patients. LNR was an independent prognostic factor, but was not better than current tumor, node, metastasis pathological nodal staging. It was, however, able to discriminate subpopulations within pathological nodal categories. In this article we examine the use of LNR in BC.
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Affiliation(s)
- Anneliese M Lawn
- Department of Breast Surgery, St Georges’ Hospital NHS Trust, Blackshaw Road, Tooting, London, SW17 0QT, UK
| | - Adam E Frampton
- Department of Surgery & Cancer, Imperial Centre for Translational & Experimental Medicine, Imperial College, Hammersmith Hospital campus, Du Cane Road, London, W12 0NN, UK
| | - Jonathan Krell
- Department of Surgery & Cancer, Imperial Centre for Translational & Experimental Medicine, Imperial College, Hammersmith Hospital campus, Du Cane Road, London, W12 0NN, UK
| | - Shamaela Waheed
- Department of Breast & Endocrine Surgery, East Surrey Hospital, Canada Avenue, Redhill, Surrey, RH1 5RH, UK
| | - Adam Stacey-Clear
- Department of Breast & Endocrine Surgery, East Surrey Hospital, Canada Avenue, Redhill, Surrey, RH1 5RH, UK
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