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European Journal of Breast Health logoLink to European Journal of Breast Health
. 2019 Apr 1;15(2):76–84. doi: 10.5152/ejbh.2019.4414

Impact of Number of Positive Lymph Nodes and Lymph Node Ratio on Survival of Women with Node-Positive Breast Cancer

Fabiana Tonellotto 1, Anke Bergmann 2, Karen de Souza Abrahão 2, Suzana Sales de Aguiar 2, Marcelo Adeodato Bello 1, Luiz Claudio Santos Thuler 2,
PMCID: PMC6456272  PMID: 31001608

Abstract

Objective

This study aimed to evaluate the association of axillary lymph node ratio (LNR) and number of positive lymph nodes (pN) with the risk of breast cancer recurrence and death.

Materials and Methods

A retrospective cohort study of node-positive stage II and III breast cancer patients diagnosed and treated between 2008 and 2009 at the Brazilian National Cancer Institute (INCA), Brazil. Overall and disease-free survival curves for number of positive lymph nodes (pN) and lymph node ratio (LNR) risk groups were constructed using the Kaplan-Meier method and compared by the log-rank test. Multivariate analysis was performed using stepwise forward Cox regression models.

Results

In total, 628 women with node-positive breast cancer were included. Most patients (69.5%) had advanced clinical stage tumors (≥IIB). The median follow-up was 58 months (range: 3–92 months). The adjusted recurrence hazard of pN2 and pN3 patients was 2.47 (95% Confidence Interval [CI] 1.72–3.56) and 2.42 (1.62–3.60), respectively, compared to pN1 patients (p<0.001), while the hazard of intermediate (0.21–0.65) and high-risk (>0.65) LNR was 2.11 (1.49–3.00) and 3.19 (2.12–4.80), respectively, compared to low-risk LNR (≤0.20) patients (p<0.001). On the other hand, the hazard of death of pN2 and pN3 patients was 2.17 (1.42–3.30) and 2.41 (1.53–3.78), respectively (p<0.001), and the hazard of intermediate (0.21–0.65) and high-risk (>0.65) LNR patients was 1.70 (1.13–2.56) and 2.74 (1.75–4.28), respectively (p≤0.001).

Conclusion

Higher pN and LNR were associated with shorter disease-free survival and overall survival times.

Keywords: Breast cancer, disease-free survival, overall survival, lymph node ratio, positive lymph nodes

Introduction

Breast cancer accounts for 23% of all cancers in women worldwide (1). The incidence is rising in developing countries, and in Brazil, 59.700 new breast cancer cases are expected in 2019 according to the Brazilian National Cancer Institute (INCA) (2).

In 1882, William Halsted introduced the radical mastectomy as the standard treatment for breast cancer and since then, axillary lymph node dissection (ALND) has been adopted as a common surgical technique for nodal assessment (3). The management of breast cancer has evolved significantly ever since and sentinel lymph node biopsy (SLNB) has been introduced into the routine clinical practice. SLNB has lower morbidity compared with classic ALND (4, 5). In a clinical trial held by The American College of Surgeons Oncology Group Z0011 (ACOSOG Z0011), clinically node-negative patients with T1–T2 tumors and patients with 1–2 positive sentinel lymph nodes (SLNs) who were treated with breast conserving-surgery and breast radiotherapy were submitted to SLNB alone or SLNB plus ALND and no differences were observed in the 10-year overall survival (OS) and disease-free survival (DFS) rates (4, 5).

Lymph node involvement has long been recognized as an important prognostic factor in breast cancer. The presence of positive axillary lymph nodes is a predictor of increased risk of local and distant recurrence, directly affecting mortality. The association between lymph node involvement and survival has been previously demonstrated (68) and it has been shown that overall survival rates are up to 40% lower in node-positive patients compared with node-negative ones (8).

The number of lymph nodes involved (pN) has traditionally been used for post-surgical staging of breast cancer. In addition, the lymph node ratio (LNR), defined as the ratio of positive lymph nodes to the total number of lymph nodes removed, has emerged as a prognostic factor in a growing number of studies. A higher LNR is associated with a worse prognosis in breast cancer (3, 9).

Other unfavorable prognostic factors include extracapsular invasion and perinodal fat infiltration. Several studies have shown that extracapsular extension is an important unfavorable prognostic factor in many types of cancer, including breast cancer (1, 6, 7, 10, 11). The relevance of extracapsular invasion and perinodal fat infiltration as a risk factor for local and distant recurrence in women with breast cancer has been demonstrated by several studies (1, 11). In addition, some studies have suggested an association between other indicators of the extent of axillary disease such as the size of nodal metastasis and prognosis (7, 12, 13).

This study aimed to evaluate the effect of pN and LNR on overall survival and disease-free survival of women with node-positive breast cancer.

Material and Methods

This is a retrospective cohort study of node-positive breast cancer patients (ICD-10, C50) diagnosed and treated between 2008 and 2009 in a reference cancer center in Brazil. The study was approved by the INCA Research Ethics Committee under protocol number 128/11.

Patients 18 years of age and older presenting with clinical stage II and III breast cancer were included. As per institutional routine, all patients underwent mastectomy or segmental resection + ALND (Berg levels I, II or I, II and III) with or without previous axillary lymph node biopsy.

Patients without information on clinical stage (two patients) and number of positive lymph nodes (four patients) were excluded.

Patients were identified from the Hospital Cancer Registry (RHC). Data were collected directly from physical and electronic hospital records and medical charts. The following sociodemographic variables were evaluated: age (<50 years or ≥50 years), ethnicity (Caucasian or others), education (<8 years or ≥8 years of education), and marital status (with or without partner). The tumor variables evaluated were: clinical stage (<IIB or ≥IIB), histological type (non-special type invasive carcinoma or others), Elston histological grade (1–2: low grade; 3: high grade), estrogen and progesterone receptor status (positive or negative), and Her-2 overexpression (positive or negative).

These axillary specimens were carefully examined by pathologists with a large experience in breast cancer. The pathology process was standardized by the use of a combination of entire submission, fat clearing, visualization and palpation, in order to increase the detection of lymph nodes. Axillary lymph nodes were examined for the total number of lymph nodes removed, number of positive lymph nodes (pN), and lymph node ratio (LNR.) The number of positive lymph nodes on histopathological examination was stratified according to the staging system of the American Joint Committee on Cancer and The Union for International Cancer Control (AJCC/UICC) into pN1 (1–3 positive lymph nodes), pN2 (4–9 positive lymph nodes), and pN3 (≥10 positive lymph nodes) (14, 15). Patients were grouped into low- (LNR≤0.20), intermediate- (LNR 0.21–0.65), and high-risk (LNR>0.65) LNR groups based on the staging classification proposed by Vinh-Hung et al. (10). In addition, perinodal fat invasion and/or extracapsular invasion (yes/no) were also evaluated.

Surgical treatment consisted of mastectomy or segmental resection + ALND. Data on the following adjuvant treatments were also evaluated: radiotherapy in the residual breast tissue or chest wall (yes/no), chemotherapy (yes/no), hormone therapy (yes/no), and trastuzumab (yes/no).

Survivor patients were followed-up at least 5 years. Disease-free survival (DFS) and overall survival (OS) were endpoints of the study. Locoregional recurrence was defined as a pathologically proven recurrence in the ipsilateral chest wall, supraclavicular and infraclavicular regions, axilla, and internal mammary area. Distant metastasis was defined as recurrence at any site other than those above described and was confirmed by imaging studies and histopathological evidence when necessary. DFS was defined as the time from the date of surgery until local or distant relapse was detected (event) or the last follow-up date. OS was defined as the interval between initial diagnosis and death (event) or the last follow-up date.

Descriptive statistics were used for the calculation of measures of central tendency and dispersion for continuous variables and frequency distributions for categorical variables. Differences in median were compared by Mann–Whitney test. Overall and disease-free survival curves for different pN and LNR risk groups were constructed using the Kaplan-Meier method and compared by the log-rank test at p<0.05. Multivariate analysis was performed using stepwise forward Cox regression models, and all variables associated with the outcome variables at p<0.20 on univariate analysis were included in multivariate models. A p value <0.05 was considered statistically significant in the final model. All analyses were performed using Statistical Package for the Social Sciences version 21.0.0 (IBM Corp,.; Armonk, NY, USA).

Results

During the study period, 628 women underwent surgery for invasive breast cancer with axillary lymph node involvement and no distant disease. The median age was 54 years (range: 23–91 years), most women were Caucasian (55%), single (54%), and had completed eight or more years of education (57%) (Table 1).

Table 1.

Clinicopathologic characteristics of patients with node-positive breast cancer (n=628)

Variables N %
Age at diagnosis ≥50 years 408 65.0
Median (min-max) 54 (23–91)
Schooling ≥8years 360 57.3
Race/ethnicity White 348 55.4
Marital Status Living without a partner 337 53.7
Clinical Staging
I 42 6.7
IIA 150 23.9
IIB 148 23.6
IIIA 86 13.7
IIIB 192 30.6
IIIC 10 1.6
Histological type
Non-special type invasive carcinoma 549 87.4
Lobular infiltrating carcinoma 36 5.7
Other 43 6.8
Histological grade
Grade 1 38 6.1
Grade 2 193 30.7
Grade 3 300 47.8
Estrogen receptor Positive 480 76.4
Progesterone receptor Positive 413 65.8
Her-2 Positive 148 23.6
Surgery Mastectomy 572 91.1
Trastuzumab Neo and/or adjuvant 106 16.9
Chemotherapy Neo and/or adjuvant 524 83.4
Radiotherapy Neo or adjuvant 361 57.5
Hormone therapy Neo and/or adjuvant 417 66.4
Tumor infiltration fat/perinodal extravasation 222 35.4
Number of lymph nodes removed 10 616 98.1
Median (min-max) 19 (6–77)
Number of positive lymph nodes
Median (min-max) 4 (1–49)
pN1 (1–3) 304 48.4
pN2 (4–9) 186 29.6
pN3 (≥10) 138 22.0
Lymph node ratio
Median (min-max) 0.20 (0.02–1.00)
Low risk (≤0.20) 318 50.6
Intermediate risk (0.20–0.65) 208 33.1
High risk (>0.65) 102 16.2

Missing values: Schooling (5; 0.8%); Marital Status (1; 0.2%); Histological grade (97; 1.4%)

pN: Number of positive lymph nodes

Most patients had advanced clinical stage tumors (≥IIB); the predominant histological subtype was high-grade (48%) invasive carcinoma of no special type (87%). Estrogen and progesterone receptors were positive in 76% and 66% of cases, respectively, and Her-2 overexpression was observed in 24% of patients (Table 1).

The median number of lymph nodes removed per patient was 19 (range: 6–77; median=18 in the neoadjuvant chemotherapy group; 20 in the adjuvant chemotherapy group; and 19 in the no chemotherapy group; p=0.998). Nearly all women (98%) had 10 or more lymph nodes removed, and the median number of positive lymph nodes was four (range: 1–77). Based on the AJCC/UICC staging system, 304 patients were classified as pN1 (48%), 186 (30%) as pN2, and 138 (22%) as pN3 according to the number of positive lymph nodes (Table 1).

Fifty-one percent of patients had lymph node ratio (LNR)<0.20 (low-risk), 33% had LNR of 0.21–0.65 (intermediate-risk), and 16% of patients had LNR>0.65 (high-risk). Extracapsular invasion and/or perinodal fat infiltration were observed in 35% of patients.

Mastectomy was the treatment of choice in 91% of cases. Chemotherapy was administered in 83.4% of patients (neoadjuvant=263 patients [41.9%]; adjuvant=309 patients [49.2%]; both=48 patients [7.6%]) 66.4% received hormone therapy, and 17% of patients were treated with Trastuzumab (neoadjuvant=10 patients [1.6%]; adjuvant=351 patients [55.9%]) (Table 1). Neoadjuvant radiotherapy was performed in locally advanced tumors that did not respond to neoadjuvant chemotherapy and were inoperable before neoadjuvant radiotherapy.

The median follow-up was 58 months (range: 3–92 months). Disease-free survival times of pN1, pN2, and pN3 patients were 53.8, 45.9, and 43.5 months, respectively (p<0.001). Overall survival times of pN1, pN2, and pN3 patients were 56.0, 52.3, and 50.0 months, respectively (p<0.001) (Table 2, Figure 1a, c).

Table 2.

Five-year disease-free survival and overall survival according to the number of positive lymph nodes and lymph node ratio

Variables 5-year disease free survival
% (SD) p
Number of positive lymph nodes <0.001
pN1 (1–3) 80.1 (2.4)
pN2 (4–9) 53.9 (3.8)
pN3 (≥10) 50.6 (4.4)
Total 65.8 (2.0)
Lymph node ratio <0.001
Low risk (≤0.20) 79.2 (2.4)
Intermediate risk (0.20–0.65) 55.9 (3.5)
High risk (>0.65) 45.4 (5.1)
Total 65.9 (2.0)
Variables 5-year overall survival
% (SD) p

Number of positive lymph nodes <0.001
pN1 (1–3) 84.3 (2.2)
pN2 (4–9) 69.4 (3.5)
pN3 (≥10) 62.3 (4.3)
Total 75.1 (1.8)
Lymph node ratio <0.001
Low risk (≤0.20) 83.4 (2.2)
Intermediate risk (0.20–0.65) 70.8 (3.3)
High risk (>0.65) 57.4 (5.1)
Total 75.1 (1.8)

Figure 1. a–d.

Figure 1. a–d

Kaplan-Meier Overall Survival estimates according to the number of positive lymph nodes (pN) and lymph node ratio (LNR) (a, b). Kaplan-Meier Disease Free Survival estimates according to the number of positive lymph nodes (pN) and lymph node ratio (LNR) (c, d)

The median disease-free survival times of low-, intermediate-, and high-risk LNR patients were 53.6, 46.3, and 41.5 months, respectively (p<0.001). In addition, the median overall survival times of low-, intermediate-, and high-risk LNR patients were 55.6, 52.9, and 48.8 months, respectively (p<0.001) (Table 2, Figure 1b, d).

The univariate analysis of sociodemographic and clinical variables with risk of local recurrence and risk of death is presented in Table 3 and 4, respectively. The univariate and multiple Cox regression models for disease-free survival and overall survival are presented in Table 5.

Table 3.

Five-year disease-free survival and univariate analysis for the risk of recurrence in node-positive breast cancer

Variables 5-Year DFS % (SD) Hazard Ratio (95% CI) p
Age at diagnosis
<50 years 61.5 (3.3) Reference 0.106
≥50 years 68.5 (2.4) 1.26 (0.95–1.67)
Schooling
<8 years 62.4 (3.1) 1.27 (0.96–1.67 0.094
≥8 years 68.4 (2.5) Reference
Race/ethnicity
White 68.7 (2.6) 0.81 (0.61–1.07) 0.132
Others 62.5 (3.0) Reference
Marital Status
Living without a partner 66.1 (2.7) 0.97 (0.74–1.28) 0.843
Living with a partner 65.7 (2.8) Reference
Clinical Staging
≥II B 58.4 (2.4) 2.85 (1.95–4.18) <0.001
<II B 83.0 (2.8) Reference
Histological type
Non-special type invasive carcinoma 64.5 (2.1) 1.68 (1.03–2.72) 0.037
Others 75.7 (5.0) Reference
Histologic grade
Low 77.5 (2.8) Reference <0.001
High 56.1 (3.0) 2.33 (1.67–3.23)
Estrogen receptor
Negative 48.7 (4.3) 2.22 (1.66–2.97) <0.001
Positive 71.1 (2.1) Reference
Progesterone receptor
Negative 53.6 (3.5) 2.01 (1.52–2.65) <0.001
Positive 72.3 (2.3) Reference
Her-2
Negative 69.0 (2.2) Reference 0.003
Positive 56.6 (4.1) 1.56 (1.16–2.10)
Surgery
Mastectomy 63.9 (2.1) 3.20 (1.50–6.80) 0.003
Conservative 86.8 (4.6) Reference
Trastuzumab
Yes 61.2 (4.7) 1.26 (0.89–1.77) 0.192
No 66.9 (2.1) Reference
Chemotherapy
Yes 64.1 (2.1) 1.64 (1.06–2.56) 0.028
No 76.3 (4.6) Reference
Radiotherapy
Yes 67.1 (2.5) 0.87 (0.66–1.15) 0.319
No 64.3 (3.1) Reference
Hormone therapy
Yes 74.0 (2.2) 0.39 (0.30–0.52) <0.001
No 48.9 (3.7) Reference
Tumor infiltration fat/perinodal extravasation
Yes 63.0 (3.3) 1.21 (0.92–1.61) 0.180
No 67.5 (2.4) Reference
Number of Lymph nodes removed
<10 72.7 (13.4) Reference
≥10 65.8 (2.0) 1.46 (0.47–4.57) 0.516

DFS: Disease Free Survival; SD: standard deviation; CI: confidence Interval

Table 4.

Five-year overall survival and univariate analysis for the risk of death in node-positive breast cancer

Variables 5-Year OS % (SD) Hazard Ratio (95% CI) P
Age at diagnosis
<50 years 75.3 (3.0) 0.950 (0.68–1.33) 0.763
≥50 years 75.0 (2.2) Reference
Schooling
<8 years 72.7 (2.9) 1.15 (0.83–1.59) 0.391
≥8 years 76.7 (2.3) Reference
Race/ethnicity
White 77.9 (2.3) 0.75 (0.54–1.03) 0.079
Others 71.7 (2.8) Reference
Marital Status
Living without a partner 74.4 (2.5) 1.13 (0.81–1.56) 0.470
Living with a partner 76.1 (2.6) Reference
Clinical Staging
≥II B 68.4 (2.3) 3.41 (2.10–5.52) <0.001
<II B 90,1 (2.2) Reference
Histological type
Non-special type invasive carcinoma 73.9 (1.9) 1.80 (1.00–3.26) 0.049
Others 83.5 (4.4) Reference
Histologic grade
Low 87.7 (2.2) Reference <0.001
High 63.2 (2.9) 3.32 (2.19–5.01)
Estrogen receptor
Negative 55.4 (4.4) 3.01 (2.17–4.19) <0.001
Positive 80.7 (1.8) Reference
Progesterone receptor
Negative 63.9 (3.4) 2.20 (1.60–3.04) <0.001
Positive 80.6 (2.0) Reference
Her-2
Negative 77.7 (2.0) Reference 0.006
Positive 66.6 (4.0) 1.62 (1.15–2.28)
Surgery
Mastectomy 73.4 (1.9) 4.10 (1.52–11.09) 0.005
Conservative 92.3 (3.7) Reference
Trastuzumab
Yes 71.6 (4.5) 1.18 (0.79–1.78) 0.409
No 75.8 (1.9) Reference
Chemotherapy
Yes 73.3 (2.0) 1.78 (1.02–3.09) 0.040
No 85.4 (3.8) Reference
Radiotherapy
Yes 78.1 (2.2)) 0.68 (0.49–0.94)
No 70.8 (2.9) Reference 0.020
Hormone therapy
Yes 84.4 (1.8) 0.27 (0.19–0.37)
No 55.5 (3.6) Reference <0.001
Tumor infiltration fat/perinodal extravasation
Yes 70.6 (3.1) 1.34 (0.97–1.86) 0.074
No 77.6 (2.1) Reference
Number of Lymph nodes removed
<10 90.9 (8.7) Reference 0.542
≥10 74.8 (1.8) 1.54 (0.38–6.23)

OS: overall survival; SD: standard deviation; CI: confidence interval

Table 5.

Cox regression model (crude and adjusted) for risk of recurrence and death

Variables N (%) Univariate analysis Multivariate analysis

Yes No HR (95% CI) p HR (95% CI) p
Risk of Recurrence
Number of lymph nodes positive*
pN1 (1–3) 57 (28.1) 247 (58.3) Reference Reference
pN2 (4–9) 82 (40.4) 103 (24.3) 2.70 (1.93–3.79) <0.001 2.47 (1.72–3.56) <0.001
pN3 (≥10) 64 (31.5) 74 (17.5) 3.09 (2.16–4.42) <0.001 2.42 (1.62–3.60) <0.001
Lymph node ratio**
Low risk (≤0.20) 63 (31.0) 255 (60.1) Reference Reference
Intermediate risk (0.20 – 0.65) 88 (43.3) 120 (28.3) 2.41 (1.74–3.32) <0.001 2.11 (1.49–3.00) <0.001
High risk (>0.65) 52 (25.6) 49 (11.6) 3.38 (2.34–4.88) <0.001 3.19 (2.12–4.80) <0.001
Risk of Death
Number of lymph nodes positive***
pN1 (1–3) 46 (30.9) 258 (53.9) Reference Reference
pN2 (4–9) 55 (36.9) 131 (27.3) 2.10 (1.42–3.12) <0.001 2.17 (1.42–3.30) <0.001
pN3 (≥10) 48 (32.2) 90 (18.8) 2.71 (1.81–4.07) <0.001 2.41 (1.53–3.78) <0.001
Lymph node ratio****
Low risk (≤0.20) 51 (34.2) 267 (55.7) Reference Reference
Intermediate risk (0.20 – 0.65) 58 (38.9) 150 (31.3) 1.85 (1.27–2.69) 0.001 1.70 (1.13–2.56) 0.011
High risk (>0.65) 40 (26.8) 62 (12.9) 2.97 (1.96–4.49) <0.001 2.74 (1.75–4.28) <0.001
*

Adjusted for clinical stage, hormone therapy, histological grade, and age

**

Adjusted for clinical stage, hormone therapy, histological grade, histological type, and age

***

Adjusted for clinical stage, histological grade, hormone therapy, and radiotherapy

****

Adjusted for clinical stage, histological grade, hormone therapy, and radiotherapy

In the DFS model, the adjusted five-year risk of breast cancer recurrence of pN2 and pN3 patients was 2.47 and 2.42 times greater, respectively, than that of pN1 patients (p<0.001). In addition, the five-year recurrence risk of intermediate- and high-risk LNR patients was 2.11 and 3.19 times greater, respectively, than that of low-risk LNR patients (p<0.001) (Table 5).

In the OS model, the adjusted risk of death was greater in pN2 (HR=2.17, 95% CI: 1.42–3.30) and pN3 (HR=2.41, 95% CI: 1.53–3.78) patients than in pN1 patients. In addition, the risk of death of intermediate- and high-risk LNR patients was 1.70 (p=0.011) and 2.74 (p<0.001) times greater, respectively, than that of low-risk LNR patients (Table 5).

Discussion and Conclusion

This study evaluated a large cohort of women with breast cancer who were treated at a single oncology center. The results showed that the number of lymph nodes involved and lymph node ratio were useful predictors of risk of recurrence and risk of death in women with breast cancer.

Lymph node status has been widely regarded as an important prognostic factor in breast cancer and the TNM classification system remains the gold standard for staging the disease (3, 8, 9, 14, 15). Axillary lymph node status has been used for prognostic assessment and for guiding adjuvant, local or systemic treatment decisions (10, 1620).

Some studies have shown that LNR improves the prognostication system compared with the use of pN alone (9). The importance of LNR has been demonstrated in colon, esophageal, gastric, pancreatic, bladder, vulvar, and cervical cancer (9), and there is now growing evidence of its prognostic value in breast cancer (3, 21, 22).

Vinh-Hung et al. (9) investigated 1.829 women diagnosed with node-positive breast cancer between 1980 and 2004 and identified LNR cutoff points that more accurately predicted the risk of breast cancer death and specific-survival rates, especially after 10 years. The authors showed that LNR predicts survival after breast cancer more accurately than the pN classification of the TNM staging system and suggested that LNR should be considered as an alternative or improvement to pN staging. In that study, the breast cancer-specific survival rates at 10 years for patients with LNR ≤0.20, LNR=0.21–0.65, and LNR >0.65 were 75%, 63%, and 40%, respectively. In addition, the adjusted hazard ratio of breast cancer mortality risk was 1.78 (95% CI: 1.46–2.18) for patients in the intermediate LNR risk group (LNR=0.21–0.65) and 3.21 (95% CI: 2.54–4.06) for patients in the high LNR (>0.65) risk group compared with patients in the low LNR risk group. Similarly, Kim et al. (22) analyzed 3.477 patients with T1–T2 node-positive breast cancer and demonstrated the clinical relevance of LNR, which was characterized by cutoff points similar to those reported by Vinh-Hung et al. (9). In addition, using another cut-off, Kuru et al. (23) found that P/N ratio >0.25 was associated with a high risk of death (HR 3.8, CI 2.74–5.50).

More recently, following the results of randomized clinical trials such as the International Breast Cancer Study Group 23-01 (IBCSG 23-01) (24) and ACOSOG Z0011 (4, 5), the role of LNR has been called into question. Nevertheless, even in patients that do not meet the criteria used in these two studies (patients with early disease and, in general, who receive adjuvant treatment such as local radiotherapy), LNR has superior prognostic value compared with pN. Thus, the role of LNR remains unquestionable in advanced cases of breast cancer (9, 15, 25).

Contrary to other studies (1, 7, 11, 22), there were no significant differences in disease-free survival (HR=1.21, 95% CI: 0.92–1.61; p=0.180) and overall survival (HR=1.34, 95% CI: 0.97–1.86; p=0.074) between patients with and without extracapsular invasion and perinodal fat infiltration.

Some limitations of the current study should be highlighted. The data analyzed here are from a pre-ACOSOG Z0011 cohort series of patients who were diagnosed and treated between 2008 and 2009, when patients with positive lymph nodes on SLNB were treated with axillary dissection. In addition, all cases were collected from a single cancer center, which may adversely affect external validity because cases may not be representative of the general population. Nevertheless, some strengths of the study should be noted. This is a single-center study and the same diagnostic and treatment procedures were used for all patients during the study period, strengthening the internal validity of the data. The histopathological data were examined by a team of experienced pathologists specialized in breast cancer, improving the reliability of results. In addition, histopathological variables were extracted directly from electronic charts minimizing information bias. Another strength of the study is the relatively short inclusion period (two years), which prevented novel technologies and changes in treatment choice from affecting prognosis. Lastly, the long follow-up time enabled the accurate identification of the outcomes analyzed.

The era of personalized molecular medicine and genomics-based tumor profiling is paving the way to precision medicine (26, 27). However, this high-cost approach to disease treatment and prevention is far from the reality of most patients in developing countries like Brazil, especially those relying on public health services. Nowadays, Oncotype DX testing and biomarkers (Her-2, RE, RP) are important players in clinical decision-making. They are expensive; hence, some poor countries may have uncertainties in making them available for systematic clinical use. In this context, data such as pN and LNR are important and low-cost prognostic factors. Thus, we believe that extracting additional useful information from histopathological reports at no extra costs, such as lymph node ratio, may benefit a significant number of patients and therefore should be implemented as prognostic factors of node-positive breast cancer.

In women with node-positive breast cancer, the number of positive lymph nodes (pN) and lymph node ratio (LNR) are important prognostic factors of disease-free survival and overall survival.

Footnotes

Ethics Committee Approval: Ethics committee approval was received for this study from the Ethics Committee of Instituto Nacional de Câncer (128/11).

Informed Consent: Informed consent was not taken due to retrospective design of the study.

Peer-review: Externally peer-reviewed.

Author Contributions: Concept - F.T., L.C.S.T.; Design - F.T., A.B.; Supervision - L.C.S.T., A.B.; Data Collection and/or Processing - F.T., K.A., S.S.A.; Analysis and/or Interpretation - F.T., L.C.S.T., A.B., M.A.B.; Literature Search - F.T., M.A.B.; Writing Manuscript - F.T., L.C.S.T., A.B.; Critical Review - L.C.S.T., A.B.

Conflict of Interest: The authors have no conflicts of interest to declare.

Financial Disclosure: The authors declared that this study has received no financial support.

References

  • 1.Nottegar A, Veronese N, Senthil M, Roumen RM, Stubbs B, Choi AH, Verheuvel NC, Solmi M, Pea A, Capelli P, Fassan M, Sergi G, Manzato E, Maruzzo M, Bagante F, Koç M, Eryilmaz MA, Bria E, Carbognin L, Bonetti F, Barbareschi M, Luchini C. Extra-nodal extension of sentinel lymph node metastasis is a marker of poor prognosis in breast cancer patients: A systematic review and an exploratory meta-analysis. Eur J Surg Oncol. 2016;42:919–925. doi: 10.1016/j.ejso.2016.02.259. [DOI] [PubMed] [Google Scholar]
  • 2.Instituto Nacional de Câncer José Gomes de Alencar. Estimates 2016: Cancer Incidence in Brazil. Rio de Janeiro: Available from: URL: http://www.inca.gov.br/estimativa/2016/INCA;2016. [Google Scholar]
  • 3.Hong R, Dai Z, Zhu W, Xu B. Association between lymph node ratio and disease specific survival in breast cancer patients with one or two positive lymph nodes stratified by different local treatment modalities. PLoS One. 2015;29:e0138908. doi: 10.1371/journal.pone.0138908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Giuliano AE, Hunt KK, Ballman KV, Beitsch PD, Whitworth PW, Blumencranz PW, Leitch AM, Saha S, McCall LM, Morrow M. Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA. 2011;305:569–575. doi: 10.1001/jama.2011.90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Giuliano AE, Ballman K, McCall L, Beitsch P, Whitworth PW, Blumencranz P, Leitch AM, Saha S, Morrow M, Hunt KK. Locoregional recurrence after sentinel lymph node dissection with or without axillary dissection in patients with sentinel lymph node metastases: long-term follow-up from the American College of Surgeons Oncology Group (Alliance) ACOSOG Z0011 Randomized Trial. Ann Surg. 2016;264:413–420. doi: 10.1097/SLA.0000000000001863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Neri A, Marrelli D, Roviello F, De Stefano A, Guarnieri A, Pallucca E, Pinto E. Prognostic value of extracapsular extension of axillary lymph node metastases in T1 to T3 breast cancer. Ann Surg Oncol. 2005;12:246–253. doi: 10.1245/ASO.2005.02.029. [DOI] [PubMed] [Google Scholar]
  • 7.Unal D, Oguz A, Tasdemir A. Rate of metastasis in examined lymph nodes as a predictor of extracapsular extension in patients with axillary node-positive breast cancer. J Nippon Med Sch. 2014;81:372–377. doi: 10.1272/jnms.81.372. [DOI] [PubMed] [Google Scholar]
  • 8.Danko ME, Bennett KM, Zhai J, Marks JR, Olson JA., Jr Improved staging in node-positive breast cancer patients using lymph node ratio: results in 1,788 patients with long-term follow-up. J Am Coll Surg. 2010;210:797–805. doi: 10.1016/j.jamcollsurg.2010.02.045. [DOI] [PubMed] [Google Scholar]
  • 9.Vinh-Hung V, Verkooijen HM, Fioretta G, Neyroud-Caspar I, Rapiti E, Vlastos G, Deglise C, Usel M, Lutz JM, Bouchardy C. Lymph node ratio as an alternative to pN staging in node-positive breast cancer. J Clin Oncol. 2009;27:1062–1068. doi: 10.1200/JCO.2008.18.6965. [DOI] [PubMed] [Google Scholar]
  • 10.Gooch J, King TA, Eaton A, Dengel L, Stempel M, Corben AD, Morrow M. The extent of extracapsular extension may influence the need for axillary lymph node dissection in patients with T1–T2 breast cancer. Ann Surg Oncol. 2014;21:2897–2903. doi: 10.1245/s10434-014-3752-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fisher BJ, Perera FE, Cooke AL, Opeitum A, Dar AR, Venkatesan VM, Stitt L, Radwan JS. Extracapsular axillary node extension in patients receiving adjuvant systemic therapy: an indication for radiotherapy? Int J Radiat Oncol Biol Phys. 1997;38:551–559. doi: 10.1016/S0360-3016(97)89483-7. [DOI] [PubMed] [Google Scholar]
  • 12.Rose BS, Jiang W, Punglia RS. Effect of lymph node metastasis size on breast cancer-specific and overall survival in women with node-positive breast cancer. Breast Cancer Res Treat. 2015;152:209–216. doi: 10.1007/s10549-015-3451-y. [DOI] [PubMed] [Google Scholar]
  • 13.AJCC staging system 7th Edition Staging Posters. American Cancer Society; 2009. [Google Scholar]
  • 14.Singletary SE, Allred C, Ashley P, Bassett LW, Berry D, Bland KI, Borgen PI, Clark G, Edge SB, Hayes DF, Hughes LL, Hutter RV, Morrow M, Page DL, Recht A, Theriault RL, Thor A, Weaver DL, Wieand HS, Greene FL. Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002;20:3628–3636. doi: 10.1200/JCO.2002.02.026. [DOI] [PubMed] [Google Scholar]
  • 15.Chagpar AB, Camp RL, Rimm DL. Lymph node ratio should be considered for incorporation into staging for breast cancer. Ann Surg Oncol. 2011;18:3143–3148. doi: 10.1245/s10434-011-2012-9. [DOI] [PubMed] [Google Scholar]
  • 16.Verheuvel NC, Ooms HW, Tjan-Heijnen VC, Roumen RM, Voogd AC. Predictors for extensive nodal involvement in breast cancer patients with axillary lymph node metastases. Breast. 2016;27:175–181. doi: 10.1016/j.breast.2016.02.006. [DOI] [PubMed] [Google Scholar]
  • 17.Rao R, Euhus D, Mayo HG, Balch C. Axillary node interventions in breast cancer: a systematic review. JAMA. 2013;310:1385–1394. doi: 10.1001/jama.2013.277804. [DOI] [PubMed] [Google Scholar]
  • 18.Tsai J, Bertoni D, Hernandez-Boussard T, Telli ML, Wapnir IL. Lymph node ratio analysis after neoadjuvant chemotherapy is prognostic in hormone receptor-positive and triple-negative breast cancer. Ann Surg Oncol. 2016;23:3310–3316. doi: 10.1245/s10434-016-5319-8. [DOI] [PubMed] [Google Scholar]
  • 19.Harris EE, Freilich J, Lin HY, Chuong M, Acs G. The impact of the size of nodal metastases on recurrence risk in breast cancer patients with 1–3 positive axillary nodes after mastectomy. Int J Radiat Oncol Biol Phys. 2013;85:609–614. doi: 10.1016/j.ijrobp.2012.05.050. [DOI] [PubMed] [Google Scholar]
  • 20.Chagpar AB, Camp RL, Rimm DL. Lymph node ratio should be considered for incorporation into staging for breast cancer. Ann Surg Oncol. 2011;18:3143–3148. doi: 10.1245/s10434-011-2012-9. [DOI] [PubMed] [Google Scholar]
  • 21.Martin FT, O’Fearraigh C, Hanley C, Curran C, Sweeney KJ, Kerin MJ. The prognostic significance of nodal ratio on breast cancer recurrence and its potential for incorporation in a new prognostic index. Breast J. 2013;19:388–393. doi: 10.1111/tbj.12122. [DOI] [PubMed] [Google Scholar]
  • 22.Kim SI, Cho SH, Lee JS, Moon HG, Noh WC, Youn HJ, Ko BK, Park BW. Clinical relevance of lymph node ratio in breast cancer patients with one to three positive lymph nodes. Br J Cancer. 2013;109:1165–1171. doi: 10.1038/bjc.2013.465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kuru B. Prognostic significance of total number of nodes removed, negative nodes removed, and ratio of positive nodes to removed nodes in node positive breast carcinoma. Eur J Surg Oncol. 2006;32:1082–1088. doi: 10.1016/j.ejso.2006.06.005. [DOI] [PubMed] [Google Scholar]
  • 24.Galimberti V, Cole BF, Zurrida S, Viale G, Luini A, Veronesi P, Baratella P, Chifu C, Sargenti M, Intra M, Gentilini O, Mastropasqua MG, Mazzarol G, Massarut S, Garbay JR, Zgajnar J, Galatius H, Recalcati A, Littlejohn D, Bamert M, Colleoni M, Price KN, Regan MM, Goldhirsch A, Coates AS, Gelber RD, Veronesi U International Breast Cancer Study Group Trial 23-01 investigators. Axillary dissection versus no axillary dissection in patients with sentinel-node micrometastases (IBCSG 23-01): a phase 3 randomised controlled trial. Lancet Oncol. 2013;14:297–305. doi: 10.1016/S1470-2045(13)70035-4. International Breast Cancer Study Group Trial 23-01 investigators. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wu SG, Li Q, Zhou J, Sun JY, Li FY, Lin Q, Lin HX, Gaun XX, He ZY. Using the lymph node ratio to evaluate the prognosis of stage II/III breast cancer patients who received neoadjuvant chemotherapy and mastectomy. Cancer Res Treat. 2015;47:757–764. doi: 10.4143/crt.2014.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Araujo LH, Krook, Roychowdhury S. Impact of genomic sequencing onprecision medicine for clinical oncology. Expert Rev Precis Med DrugDev. 2016;1:255–265. doi: 10.1080/23808993.2016.1184966. [DOI] [Google Scholar]
  • 27.Exner R, Bago-Horvath Z, Bartsch R, Mittlboeck M, Retèl VP, Fitzal F, Rudas M, Singer C, Pfeiler G, Gnant M, Jakesz R, Dubsky P. The multigene signature mammaprint impacts on multidisciplinary team decisions in ER+, HER2- early breast cancer. Br J Cancer. 2014;26:837–842. doi: 10.1038/bjc.2014.339. [DOI] [PMC free article] [PubMed] [Google Scholar]

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