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Cancer Research and Treatment > Volume 48(4); 2016 > Article
Kim, Jung, Kim, Im, Choi, Chae, Baek, Kang, Park, Park, Lee, Choi, Lee, Sohn, Park, Im, Ahn, Kim, and Kim: Prognostic Value of Axillary Nodal Ratio after Neoadjuvant Chemotherapy of Doxorubicin/Cyclophosphamide Followed by Docetaxel in Breast Cancer: A Multicenter Retrospective Cohort Study



The purpose of this study is to investigate the prognostic value of lymph node (LN) ratio (LNR) in patients with breast cancer after neoadjuvant chemotherapy.

Materials and Methods

This retrospective analysis is based on the data of 814 patientswith stage II/III breast cancer treated with four cycles of doxorubicin/cyclophosphamide followed by four cycles of docetaxel before surgery. We evaluated the clinical significance of LNR (3 categories: low 0-0.20 vs. intermediate 0.21-0.65 vs. high 0.66-1.00) using a Cox proportional regression model.


A total of 799 patients underwent breast surgery. Pathologic complete response (pCR, ypT0/isN0) was achieved in 129 patients (16.1%) (hormone receptor [HR] +/human epidermal growth factor receptor 2 [HER2] –, 34/373 [9.1%]; HER2+, 45/210 [21.4%]; triple negative breast cancer, 50/216 [23.1%]). The mean numbers of involved LN and retrieved LN were 2.70 (range, 0 to 42) and 13.98 (range, 1 to 64), respectively. The mean LNR was 0.17 (low, 574 [71.8%]; intermediate, 170 [21.3%]; high, 55 [6.9%]). In univariate analysis, LNR showed significant association with a worse relapse-free survival (3-year relapse-free survival rate 84.8% in low vs. 66.2% in intermediate vs. 54.3% in high; p < 0.001, log-rank test). In multivariate analysis, LNR did not show significant association with recurrence after adjusting for other clinical factors (age, histologic grade, subtype, ypT stage, ypN stage, lymphatic or vascular invasion, and pCR). In subgroup analysis, the LNR system had good prognostic value in HR+/HER2–subtype.


LNR is not superior to ypN stage in predicting clinical outcome of breast cancer after neoadjuvant chemotherapy. However, the prognostic value of the LNR system in HR+/HER2–patients is notable and worthy of further investigation.


Neoadjuvant chemotherapy (NCT) is a treatment option for patients with operable breast cancer, who are candidates for adjuvant chemotherapy. The equivalency of NCT and adjuvant chemotherapy with regard to disease-free survival and overall survival (OS) was demonstrated in large randomized trials [1-3]. NCT has a number of advantages compared to adjuvant chemotherapy, including downsizing the tumor to increase the likelihood of breast conservation, providing in vivo chemosensitivity to oncologists, and enabling rapid assessment of the efficacy of new therapeutic agents. Importantly, the pathologic complete response (pCR) after NCT has a strong association with improved survival in patients with aggressive breast cancer subtypes [4].
The best established predictor of survival is the absolute number of involved lymph nodes (LNs) in the axilla following NCT, which is in accordance with the ypN stage of the American Joint Committee on Cancer (AJCC) staging system [2,5-8]. However, based on previous observations, NCT may change the histological environment of the axillary area and reduce the number of retrieved axillary LNs [9,10]. As a result, the ypN stage can be underestimated, thereby resulting in inadequate treatment. Many studies with adjuvant chemotherapy suggested that the lymph node ratio (LNR), the ratio of the number of involved LNs to the total number of resected LNs, may be a superior prognostic factor than the pN stage [11-15]. Ahn et al. [14] concluded that LNR may be superior to the pN stage as a prognostic factor and can be used in identification of patient subgroups that may benefit from adjuvant radiotherapy. Dings et al. [15] reported that LNR can differentiate populations with poor prognosis within the same pN stage. In a recent meta-analysis, Liu et al. [16] reported that LNR was a prognostic predictor for breast cancer. After analysis of the studies that used 0.2 and 0.65 as the cut-off, the authors confirmed that there was a dose-response relationship between LNR and OS, disease-free survival, breast cancer specific survival, and mortality. However, there are limited data and conflicting results with regard to the prognostic significance of LNR after NCT [17,18].
In this study, we investigated the prognostic value of LNR in patients treated with NCT and compared LNR with the traditional ypN stage of the AJCC in predicting disease recurrence.

Materials and Methods

1. Study population

This study included 814 consecutive patients from 13 academic hospitals of the Korean Cancer Study Group. They were pathologically diagnosed with stage II/III breast cancer and received treatment with four cycles of doxorubicin/cyclophosphamide (AC), followed by four cycles of docetaxel (DOC) as NCT within a study period from June 2009 to December 2012. Among the 814 patients, 799 had undergone surgery and were analyzed. Clinical data were obtained from the electronic medical records of each hospital. The data included demographics, past medical history, pathologic information, radiologic findings, NCT, adjuvant treatment, recurrence, and survival. Male breast cancer, inflammatory breast cancer, recurrent or metastatic breast cancer, any treatment before NCT, and other coexisting malignancies were excluded. This study was approved by the Institutional Review Board at Seoul National University Bundang Hospital (Seongnam, Korea) and participating institutions.

2. Treatment and tumor assessment

All patients were treated with four cycles of AC (doxorubicin 60 mg/m2 on day 1 and cyclophosphamide 600 mg/m2 on day 1 every 21 days) followed by four cycles of DOC (75 mg/m2 on day 1 every 21 days). In patients with overexpression or amplification of human epidermal growth factor receptor 2 (HER2), trastuzumab was incorporated into the adjuvant treatment and administered for 1 year after surgery. The clinical response to NCT was evaluated every four cycles, using ultrasound or magnetic resonance imaging in accordance with the Response Evaluation Criteria in Solid Tumors (RECIST) ver. 1.1.
Pathological assessment was performed with core biopsy samples or surgical specimens of primary tumors by a pathologist at each institution. Immunohistochemistry (IHC) was performed for the estrogen receptor, progesterone receptor, and HER2. In patients with HER2 IHC score of 2+, HER2 amplification status was confirmed by fluorescent in situ hybridization or silver in situ hybridization. pCR was defined as ypT0N0 (absence of invasive cancer and in situ cancer in the breast and axillary nodes) or ypT0/isN0 (absence of invasive cancer in the breast and axillary nodes). From the pathological report of the surgical specimen, LNR was calculated as the ratio of the number of involved LNs to the number of total retrieved LNs. LNR was categorized according to three groups based on previous findings: low (LNR, 0 to 0.20), intermediate (0.21 to 0.65), and high (0.66 to 1.00) [12-14].

3. Statistical analysis

Data were described as frequencies (%), or means and medians (range). An independent two-sample t test was used for analysis of continuous variables, and chi-square test for categorical variables. The primary end point was relapse-free survival (RFS), calculated from the start of NCT to recurrence of breast cancer. Patients who were relapse free at the last contact were censored at the last follow-up date. The secondary end points were the rate of distant recurrence and OS. OS was determined from the initial NCT to death from any cause. The Kaplan-Meier method was used for estimation of survival outcomes and the log-rank test was used for determination of differences between the groups. Cox proportional hazard regression analysis was used for estimation of hazard ratios and 95% confidence intervals (CIs). Variables with statistical significance (p < 0.05) in univariate analysis were included as covariates in multivariate analysis. A value of p < 0.05 was considered to indicate statistical significance, and all resulting p-values were two sided. All statistical procedures were performed using SPSS ver. 18.0 (SPSS Inc., Chicago, IL).


1. Patient characteristics

A total of 799 patients were included in our study (Table 1). The median age was 45 years (range, 16 to 74 years), and the majority (88.1%) underwent axillary LN dissection. Before surgery, 687 patients (85.9%) had undergone fine needle aspiration biopsy or sentinel LN biopsy (n=19, 2.4%) for axillary staging. Almost all patients (741/799, 92.8%) received eight cycles of NCT. The pCR rate and LN status according to subtype of breast is shown in Table 2. The overall pCR (T0/isN0) rate was 16.1% (129/799); 9.1% (34/373) in HR+/HER2–patients, 21.4% (45/210) in HER2+ patients, and 23.1% (50/216) in triple negative breast cancer (TNBC) patients. Among the pathologically confirmed LN+ patients (n=622), pathologic axillary LN clearance (ypN0) was achieved in 243 patients (39.1%). The median numbers of involved LNs and retrieved LNs were one (range, 0 to 42) and 13 (range, 1 to 64), respectively. Most patients (759/799, 95%) had more than four retrieved LNs after surgery (Supplementary Table 1). The median and mean numbers of LNR were 0.07 and 0.17, respectively. When using the LNR classification, 574 patients (71.8%) were categorized as low (LNR, 0 to 0.20), 170 (21.3%) as intermediate (0.21 to 0.65), and 55 (6.9%) as high (0.66 to 1.00). Patients with HR+/HER2–subtype had a significantly lower rate of ypN0 stage compared with other subtypes (28.4% vs. 47.6% in HER2 and 59.7% in TNBC, p < 0.001). Approximately two-thirds of patients with HR+/HER2–subtype were categorized as the low LNR group (63.4% in HR+/HER2–vs. 77.6% in HER2 and 80.6% in TNBC, p < 0.001).

2. Survival and relapse according to axillary LN status

RFS and OS were evaluated with a median follow-up period of 31.0 months. With the LNR classification, the 3-year RFS rates were 84.8%, 66.2%, and 54.3% in low, intermediate, and high groups, respectively (p < 0.001) (Fig. 1A). The estimated 3-year OS rates were 92.7%, 87.1%, and 79.3% in the low, intermediate, and high groups, respectively (p=0.011) (Fig. 1B). Using the ypN-stage classification, the 3-year RFS rates were 88.1%, 80.8%, 61.8%, and 48.1% in ypN0, ypN1, ypN2, and ypN3 stages, respectively (p < 0.001). Probabilities of 3-year OS were 94.6%, 91.5%, 87.3%, and 69.6% in ypN0, ypN1, ypN2, and ypN3 stage, respectively (p < 0.001).
To examine the pattern of relapse in accordance with LNR status, disease recurrence was classified as locoregional, distant only, and locoregional with distant relapse (Supplementary Table 2). The increase of LNR showed significant association with the distant failure rate (9.5% in low group vs. 18.2% in intermediate group vs. 27.3% in high group, chi-square p < 0.001).

3. Survival analysis

Among the variables analyzed in the univariate Cox model, pCR status, histologic grade, subtype by IHC, ypT stage, ypN stage, lymphovascular invasion (LVI), and LNR classification showed significant association with RFS in all patients. The LNR classification was not an independent predictor for RFS in the multivariate model adjusted for age, pCR status, histologic grade, subtype by IHC, ypT stage, ypN stage, and LVI (p=0.954) (Table 3). To exclude the possibility of any confounding effect, we constructed two multivariate models with either ypN stage or LNR classification. Both ypN stage and LNR classification were independent predictors for RFS in each model. By calculating the log likelihood chi-squares of each model, we were able to compare the fit of each model (higher value indicates a more predictive model). However, the values of log likelihood chi-squares of both models were similar (Supplementary Table 3).

4. Prognostic value of LNR according to subtype by IHC

In HR+/HER2–patients, a statistically significant difference in RFS was observed in accordance with LNR status during the follow-up period (LNR-low vs. LNR-intermediate, p=0.045; LNR-low vs. LNR-high, p=0.001; LNR-intermediate vs. LNR-high, p=0.027) (Fig. 2). In HER2+ and TNBC patients, LNR-low showed association with better RFS than LNR-intermediate or LNR-high (LNR-low vs. LNR-intermediate, p < 0.001 in HER2+ and p < 0.001 in TNBC; LNR-low vs. LNR-high, p=0.001 in HER2+ and p < 0.001 in TNBC; log-rank test) (Fig. 2). However, no significant difference in RFS was observed between LNR-intermediate and LNR-high (LNR-intermediate vs. LNR-high, p=0.990 in HER2+ and p=0.413 in TNBC) (Fig. 2). The LNR classification was not an independent predictor for RFS in the multivariate model in each subtype (Supplementary Table 4).


In this study, we demonstrated that the axillary LN status, either ypN stage or LNR, is of prognostic value in breast cancer patients treated with NCT. Patients with higher LNR had poorer RFS and OS. In comparison of the value of log likelihood chi-squares between two models, the prognostic power of LNR after NCT, using the cut-off points of 0.20 and 0.65, appears to be similar to that of the current ypN stage in our patient cohort. To the best of our knowledge, this study is the largest study to date addressing the prognostic value of LNR in patients uniformly treated with eight courses of sequential anthracycline-taxane–based NCT.
It should be noted that the number of retrieved and examined LNs is influenced by NCT [9,10]. In our study, most patients (92.8%) completed the preplanned eight cycles of NCT, while only three cycles of NCT were utilized in previous studies [17,18]. In the most recent study, Chen et al. [19] reported a better prognostic value of LNR than ypN stage in patients treated with median three cycles of NCT. The pCR rate of 16.1% in our study is higher than that of other studies (range, 6.8% to 10.7%) reporting that the LNR system is superior to ypN stage [17,19]. The longer duration with more effective NCT in the current study may result in a lower number of involved LNs than that of the two previous studies (Supplementary Table 5). The reason for the consistent results with regard to the prognostic significance of LNR in an adjuvant setting compared to the conflicting results in a neoadjuvant setting may be derived in part from less involvement of LNs in studies with NCT. We suppose that there might be an inverse correlation between the efficacy of NCT and prognostic impact of LNR.
We observed a low pCR rate (9.1%) and good separation of RFS curves with the LNR system in HR+/HER2–patients. Conversely, a high pCR rate (21.4% in HER2+ and 23.1% in TNBC) and overlapping RFS curves were observed in HER2 and TNBC patients. These findings are in line with those of recent studies reporting a strong dependence on the intrinsic subtype for a relationship between pCR rate and survival [4,20,21]. In addition, the prognostic value of the LNR system in HR+/HER2–patients is notable because it could have a role in selection of high-risk patients for adjuvant radiotherapy or prolonged duration of adjuvant endocrine therapy. Tausch et al. [22], who reported that LNR was an additional prognostic factor in patients with one to three involved LNs after mastectomy, suggested LNR as an indicator for postmastectomy radiotherapy, which is still controversial in patients with one to three LNs [23]. Currently, identification of patients who might benefit from extended adjuvant endocrine therapy is not possible. The findings by Sestak et al. [24] suggest that clinical factors, including nodal status (positive vs. negative) and tumor size (> 2 cm vs. < 2 cm), are important prognostic factors even beyond the initial 5 years of adjuvant endocrine therapy. Therefore, further evaluation to determine whether the LNR system can add prognostic value and complement the current nodal staging system in HR+/HER2–patients treated with NCT is worthwhile.
Many studies have documented the usefulness of LNR; however, the thresholds used for defining low- and high-risk groups varied [11]. Vinh-Hung et al. [12], who investigated the “optimal” cut-off values for categorizing a continuous variable of LNR with minimal loss of information, analyzed the data for 1,829 women with node-positive breast cancer and identified two LNR cut-off points, 0.20 and 0.65, which predicted breast cancer survival more adequately than pN categories. Compared with the pN classification, the LNR classification was more robust without overlapping CIs and without crossing of survival curves between the intermediate (LNR, 0.21 to 0.65) and high (LNR, > 0.65) risk groups. However, the cut-off points of 0.20 and 0.65 were not validated in patients treated with NCT, while the values were able to identify poor prognostic patients after primary surgery [13-15]. In our study population, LNR classification did not show an independent prognostic significance when the ypN stage was included in the multivariate model. The superiority of LNR classification over the current ypN stage was not supported by this study.
We note that our study had several limitations. First, its retrospective nature may have resulted in selection bias. To minimize this bias, however, we included consecutive patients from the database of participating institutions. Second, HER2 targeted therapy was not included in neoadjuvant treatment, but administered as adjuvant treatment because neoadjuvant trastuzumab was not reimbursed at the time of the study in Korea. Therefore, compared to other studies, the pCR rate may have been relatively lower in our patients, without impact of survival. Last, the inclusion of cN0 patients in the current study raised the possibility that these patients underwent inadequate axillary surgery. However, two thirds of patients (28/42, 66.7%) had undergone axillary LN dissection for their axillary staging.


In conclusion, our findings suggest that LNR is not superior to ypN stage in predicting clinical outcome of breast cancer patients after NCT. Both LNR and ypN stage had similar prognostic values after NCT. Findings from the subgroup analysis suggest that LNR might provide some additional prognostic information in HR+/HER2–patients after NCT, compared to HER2+ or TNBC patients. Further studies are needed to evaluate the optimal cut-off points and prognostic value of LNR in breast cancer patients treated with NCT.

Electronic Supplementary Material

Supplementary materials are available at Cancer Research and Treatment website (http://www.e-crt.org).

Conflicts of Interest

Conflict of interest relevant to this article was not reported.


The authors thank the Medical Research Collaborating Center at Seoul National University Bundang Hospital for statistical analyses.

Fig. 1.
Survival of patients according to lymph node ratio (LNR) status: relapse-free survival (A) and overall survival (B).
Fig. 2.
Relapse-free survival of patients according to lymph node ratio (LNR) status and subtype: hormone receptor +/human epidermal growth factor receptor 2 (HER2) – (A), HER2+ (B), and triple negative breast cancer (C).
Table 1.
Baseline characteristics of patients
Characteristic No. (%)
Age (yr)
 Median (range) 45 (16-74)
 0 470 (58.8)
 1 327 (40.9)
 2 2 (0.3)
 Ductal 762 (95.4)
 Lobular 15 (1.9)
 Others 22 (2.7)
Histologic grade
 1 32 (4)
 2 379 (47.4)
 3 304 (38)
 Unknown 84 (10.5)
Tumor size at diagnosis (cm)
 Mean±SD 4.3±2.36
 Median (range) 3.8 (0.8-20)
cT stage
 0 6 (0.8)
 1 54 (6.8)
 2 440 (55.1)
 3 238 (29.8)
 4 61 (7.6)
cN stage
 0 42 (5.3)
 1 379 (47.4)
 2 238 (29.8)
 3 140 (17.5)
ER receptor
 Positive 454 (56.8)
 Negative 345 (43.2)
PR receptor
 Positive 384 (48.1)
 Negative 415 (51.9)
 HR+/HER2- 373 (46.7)
 HER2+ 210 (26.3)
 TNBC 216 (27)

ECOG, Eastern Cooperative Oncology Group; PS, performance status; SD, standard deviation; ER, estrogen receptor; PR, progesterone receptor; HR, hormone receptor; HER2, human epidermal growth factor receptor 2; TNBC, triple negative breast cancer.

Table 2.
Pathological response and lymph node status after NCT
Variable Total HR+/HER2- HER2+ TNBC p-value
No. of lymph nodes
 Involved 2.70 (0-42) 3.12 (0-41) 2.25 (0-30) 2.42 (0-42) 0.083
 Retrieved 13.98 (1-64) 14.20 (1-47) 13.62 (1-38) 13.96 (1-64) 0.737
ypN stage by AJCC
 0 335 (41.9) 106 (28.4) 100 (47.6) 129 (59.7) < 0.001
 1 286 (35.8) 166 (44.5) 71 (33.8) 49 (22.7)
 2 116 (14.5) 71 (19) 27 (12.9) 18 (8.3)
 3 62 (7.8) 30 (8) 12 (5.7) 20 (9.3)
Lymph node ratio
 Low 574 (71.8) 236 (63.4) 163 (77.6) 174 (80.6) < 0.001
 Intermediate 170 (21.3) 108 (29) 34 (16.2) 28 (16.5)
 High 55 (6.9) 28 (7.5) 13 (6.2) 14 (6.5)
pCR (ypT0/isN0)
 Yes 129 (16.1) 34 (9.1) 45 (21.4) 50 (23.1) < 0.001
 No 670 (83.9) 339 (90.9) 165 (78.6) 166 (76.9)

Values are presented as mean (range) or number (%). NCT, neoadjuvant chemotherapy; HR, hormone receptor; HER2, human epidermal growth factor receptor 2; TNBC, triple negative breast cancer; AJCC, American Joint Committee on Cancer; pCR, pathologic complete response.

Table 3.
Multivariate analysis for relapse-free survival of patients
Variable Hazard ratio 95% CI p-value
Age (< 50 yr vs. > 50 yr) 0.77 0.53-1.11 0.157
Histologic grade 1 1 0.001
Histologic grade 2 1.2 0.37-3.92
Histologic grade 3 2.59 0.78-8.57
Histologic grade NA 1.27 0.33-4.94
Subtype: HR+/HER2- 1 < 0.001
Subtype: HER2+ 1.69 1.02-2.79
Subtype: TNBC 4.97 3.24-7.61
pCR (ypT0/isN0) vs. non-pCR 0.26 0.08-0.86 0.027
ypT stage 0 1 < 0.001
ypT stage 1 0.85 0.39-1.83
ypT stage 2 1.96 0.90-4.24
ypT stage 3 1.95 0.69-3.95
ypT stage 4 5.93 1.63-21.58
ypN stage 0 1 0.035
ypN stage 1 1.72 1.04-2.84
ypN stage 2 2.69 1.27-5.71
ypN stage 3 3.39 1.43-8.01
Lymphovascular invasion (yes vs. no) 1.5 1.02-2.22 0.040
LNR low (0-0.20) 1 0.954
LNR intermediate (0.21-0.65) 1.01 0.55-1.86
LNR high (0.66-1.00) 1.12 0.48-2.59

CI, confidence interval; NA, not available; HR, hormone receptor; HER2, human epidermal growth factor receptor 2; TNBC, triple negative breast cancer; pCR, pathologic complete response; LNR, lymph node ratio.


1. Fisher B, Bryant J, Wolmark N, Mamounas E, Brown A, Fisher ER, et al. Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. J Clin Oncol. 1998;16:2672–85.
crossref pmid
2. Bear HD, Anderson S, Smith RE, Geyer CE Jr, Mamounas EP, Fisher B, et al. Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol. 2006;24:2019–27.
crossref pmid
3. van der Hage JA, van de Velde CJ, Julien JP, Tubiana-Hulin M, Vandervelden C, Duchateau L. Preoperative chemotherapy in primary operable breast cancer: results from the European Organization for Research and Treatment of Cancer trial 10902. J Clin Oncol. 2001;19:4224–37.
crossref pmid
4. Cortazar P, Zhang L, Untch M, Mehta K, Costantino JP, Wolmark N, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet. 2014;384:164–72.
crossref pmid
5. Kuerer HM, Newman LA, Buzdar AU, Hunt KK, Dhingra K, Buchholz TA, et al. Residual metastatic axillary lymph nodes following neoadjuvant chemotherapy predict disease-free survival in patients with locally advanced breast cancer. Am J Surg. 1998;176:502–9.
crossref pmid
6. Pierga JY, Mouret E, Dieras V, Laurence V, Beuzeboc P, Dorval T, et al. Prognostic value of persistent node involvement after neoadjuvant chemotherapy in patients with operable breast cancer. Br J Cancer. 2000;83:1480–7.
crossref pmid pmc
7. Symmans WF, Peintinger F, Hatzis C, Rajan R, Kuerer H, Valero V, et al. Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J Clin Oncol. 2007;25:4414–22.
crossref pmid
8. Colleoni M, Bagnardi V, Rotmensz N, Dellapasqua S, Viale G, Pruneri G, et al. A risk score to predict disease-free survival in patients not achieving a pathological complete remission after preoperative chemotherapy for breast cancer. Ann Oncol. 2009;20:1178–84.
crossref pmid
9. Neuman H, Carey LA, Ollila DW, Livasy C, Calvo BF, Meyer AA, et al. Axillary lymph node count is lower after neoadjuvant chemotherapy. Am J Surg. 2006;191:827–9.
crossref pmid
10. Erbes T, Orlowska-Volk M, Zur Hausen A, Rucker G, Mayer S, Voigt M, et al. Neoadjuvant chemotherapy in breast cancer significantly reduces number of yielded lymph nodes by axillary dissection. BMC Cancer. 2014;14:4.
crossref pmid pmc pdf
11. Woodward WA, Vinh-Hung V, Ueno NT, Cheng YC, Royce M, Tai P, et al. Prognostic value of nodal ratios in node-positive breast cancer. J Clin Oncol. 2006;24:2910–6.
crossref pmid
12. Vinh-Hung V, Verkooijen HM, Fioretta G, Neyroud-Caspar I, Rapiti E, Vlastos G, et al. Lymph node ratio as an alternative to pN staging in node-positive breast cancer. J Clin Oncol. 2009;27:1062–8.
crossref pmid
13. 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.
crossref pmid
14. Ahn SH, Kim HJ, Lee JW, Gong GY, Noh DY, Yang JH, et al. Lymph node ratio and pN staging in patients with node-positive breast cancer: a report from the Korean breast cancer society. Breast Cancer Res Treat. 2011;130:507–15.
crossref pmid
15. 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. 2013;20:2607–14.
crossref pmid
16. Liu D, Chen Y, Deng M, Xie G, Wang J, Zhang L, et al. Lymph node ratio and breast cancer prognosis: a meta-analysis. Breast Cancer. 2014;21:1–9.
crossref pmid
17. Keam B, Im SA, Kim HJ, Oh DY, Kim JH, Lee SH, et al. Clinical significance of axillary nodal ratio in stage II/III breast cancer treated with neoadjuvant chemotherapy. Breast Cancer Res Treat. 2009;116:153–60.
crossref pmid
18. Saxena N, Hartman M, Aziz R, Rapiti E, Bhoo Pathy N, Lim SE, et al. Prognostic value of axillary lymph node status after neoadjuvant chemotherapy: results from a multicentre study. Eur J Cancer. 2011;47:1186–92.
crossref pmid
19. Chen S, Liu Y, Huang L, Chen CM, Wu J, Shao ZM. Lymph node counts and ratio in axillary dissections following neoadjuvant chemotherapy for breast cancer: a better alternative to traditional pN staging. Ann Surg Oncol. 2014;21:42–50.
crossref pmid
20. von Minckwitz G, Untch M, Blohmer JU, Costa SD, Eidtmann H, Fasching PA, et al. Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol. 2012;30:1796–804.
crossref pmid
21. Lips EH, Mulder L, de Ronde JJ, Mandjes IA, Koolen BB, Wessels LF, et al. Breast cancer subtyping by immunohistochemistry and histological grade outperforms breast cancer intrinsic subtypes in predicting neoadjuvant chemotherapy response. Breast Cancer Res Treat. 2013;140:63–71.
crossref pmid pmc
22. Tausch C, Taucher S, Dubsky P, Seifert M, Reitsamer R, Kwasny W, et al. Prognostic value of number of removed lymph nodes, number of involved lymph nodes, and lymph node ratio in 7502 breast cancer patients enrolled onto trials of the Austrian Breast and Colorectal Cancer Study Group (ABCSG). Ann Surg Oncol. 2012;19:1808–17.
crossref pmid
23. Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thurlimann B, Senn HJ, et al. Strategies for subtypes: dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol. 2011;22:1736–47.
crossref pmid pmc
24. Sestak I, Dowsett M, Zabaglo L, Lopez-Knowles E, Ferree S, Cowens JW, et al. Factors predicting late recurrence for estrogen receptor-positive breast cancer. J Natl Cancer Inst. 2013;105:1504–11.
crossref pmid pmc
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