- Research article
- Open Access
- Open Peer Review
Neoadjuvant chemotherapy in breast cancer significantly reduces number of yielded lymph nodes by axillary dissection
© Erbes et al.; licensee BioMed Central Ltd. 2014
- Received: 30 August 2013
- Accepted: 30 December 2013
- Published: 3 January 2014
Neoadjuvant chemotherapy (NC) is an established therapy in breast cancer, able to downstage positive axillary lymph nodes, but might hamper their detectibility. Even if clinical observations suggest lower lymph node yield (LNY) after NC, data are inconclusive and it is unclear whether NC dependent parameters influence detection rates by axillary lymph node dissection (ALND).
We analyzed retrospectively the LNY in 182 patients with ALND after NC and 351 patients with primary ALND. Impact of surgery or pathological examination and specific histomorphological alterations were evaluated. Outcome analyses regarding recurrence rates, disease free (DFS) and overall survival (OS) were performed.
Axillary LNY was significantly lower in the NC in comparison to the primary surgery group (median 13 vs. 16; p < 0.0001). The likelihood of incomplete axillary staging was four times higher in the NC group (14.8% vs. 3.4%, p < 0.0001). Multivariate analyses excluded any influence by surgeon or pathologist. However, the chemotherapy dependent histological feature lymphoid depletion was an independent predictive factor for a lower LNY. Outcome analyses revealed no significant impact of the LNY on local and regional recurrence rates as well as DFS and OS, respectively.
NC significantly reduces the LNY by ALND and has profound effects on the histomorphological appearance of lymph nodes. The current recommendations for a minimum removal of 10 lymph nodes by ALND are clearly compromised by the clinically already established concept of NC. The LNY of less than 10 by ALND after NC might not be indicative for an insufficient axillary staging.
- Lymph node yield
- Neoadjuvant chemotherapy
- Lymphoid depletion
- Breast cancer
Axillary lymph node status is one of the most powerful prognostic factors in breast cancer (BC) [1–3] and ALND the standard approach for local staging in lymph node positive patients. There is some evidence for an inverse correlation between a low number of removed axillary lymph nodes (often <10) and overall survival [4–10], which is controversially discussed [11–13].
Surgical staging of the axilla, particularly the number of positive lymph nodes is still a major driver for local and systemic treatment decisions. Therefore current guidelines recommend the removal of at least 10 lymph nodes [1, 14], based on a mathematical model which determined the cut off at 10 lymph nodes to allow a 90% certainty of a true negative axillary status [14, 15].
NC has become a common treatment for patients with locally advanced and lymph node positive BC. NC is able to downstage the number of involved axillary lymph nodes  as an important parameter in the definition of the pathological complete response (pCR). Clinical observations suggest a lower LNY after NC, which might be due to chemotherapy dependent parameters influencing detection rates. Therefore we examined these potential effects of NC by comparing retrospectively LNY by ALND in primary BC patients who underwent primary surgery versus NC and analysed its potential impact on clinical outcome.
We selected retrospectively 533 patients with primary BC from the database of the Department of Gynaecology and Obstetrics, University Medical Center Freiburg, who underwent ALND (Level 1 and 2) or sentinel node biopsy (SLNB) plus ALND from January 2001 to December 2010. Bilateral BC was excluded. All patients in the study had a histological proven axillary metastasis. The distinct algorithm for the confirmation of axillary involvement was a follows: In the case of a clinical suspicious axilla (91.8%, 167/182) the lymph nodes status was evaluated by core biopsies of distinct nodes before NC. With the proven lymph node metastasis patients underwent the consecutive NC. In the case of a clinical negative axilla, patients (8.2%, 15/182) underwent sentinel lymph node biopsy before NC.
Patients and tumor characteristics
Mean age (range), y
Mean tumor size, (range), mm
Patients and tumor characteristics including age, size, histological subtype, stage, nodal status, grading, lymphovascular invasion, estrogen, progesterone and Her2 receptor status, menopausal status and type of surgery were evaluated (Table 1). The tissue specimens were analyzed by 19 pathologists and the potential impact of the individual investigator on LNY separately analyzed. All lymph nodes were processed and analyzed by a standardized protocol according to the current national S3 guidelines, and inconclusive cases were subjected to immunohistochemistry (IHC) . Sentinel nodes were serially sectioned, and submitted to hematoxylin-eosin as well as IHC against pancytokeratin.
A consecutive series of 94 lymph nodes from PCG and 97 from PSG, respectively, were re-evaluated for differences regarding the following histological features: median size, capsular invasion, diffuse fibrosis, lymphoid depletion, B-and T-cell accentuated depletion, signs of bleeding and calcification.
Outcome analyses regarding local, regional and distant recurrences as well as 5 year DFS and OS were performed for all subgroups of patients in regards to LNY, axillary response and histomorphological features, respectively. These data consider the consecutive treatment in both groups, which presented equally balanced with comparable endocrine as well as radiation therapy rates (data not shown).
Lymph node counts were described by medians and quartiles and compared between groups using Wilcoxon’s test. For univariate comparisons between groups, Welch’s t-test (for continuous variables) and Pearson’s Chi square test (for nominal variables) were used. For descriptive aims, box plots were produced. Further, lymph node counts were analyzed in a multivariable Poisson regression analysis to adjust for a number of pre-specified covariates. Time-to-event endpoints were analyzed using Cox’s regressions model, and five-year event free rates with confidence intervals were taken from the regression-based survival functions. The significance level was set to alpha = 0.05. Data analysis was performed by open statistical software environment R (R Development Core Team, “R: A Language and Environment for Statistical Computing”. R foundation for Statistical Computing, 2009. URL http://www.R-project.org).
We included 182 patients receiving NC, and 351 patients receiving primary surgery into this retrospective analysis. Significant differences were seen in a variety of baseline criteria between the two groups, since treatment decisions in regards to NC are routinely based on tumor size, clinical nodal involvement, grading, age and receptor status, though no significant difference in the histological tumor type was seen (Table 1).
Influence of nodal involvement on total lymph node yield
Median total number of lymph nodes for patients with nodal involvement
Median total number of lymph nodes for patients without nodal involvement
Median number of involved lymph nodes
Furthermore the median number of involved nodes/total nodes was comparable for both groups with a median number of 3.0 positive nodes/13 total number in the PCG and a median number of 2.5 involved nodes/17 total number of nodes in the PSG (p = 0.904), respectively (Table 2).
Influence of clinico-pathological characteristics total lymph node yield in 533 breast cancer patients
Age (per year)
Mean tumor size
Hormone receptor status
Type of breast surgery
Breast conserving surgery
Since NC is employed for downstaging of local disease, the LNY by ALND might be compromised by the regression grade as treatment response. Regression was classified by a semiquantitative scoring system according to Sinn , ranging from 0 to 4 (0 = no effect, 1 = resorption and tumorsclerosis, 2 = minimal residual invasive tumor < 0.5 cm, 3 = residual non-invasive tumor only, 4 = no tumor detectable). However, no correlation between the regression grade and LNY was found (data not shown). An isolated view on the 28.6% (n = 52) patients with an axillary pathological complete response (pCR) revealed no influence of response on LNY (p = 0.615). Furthermore the regional axillary recurrence rates were statistically not different between these patients (1.9%) and those (3.0%) who did not achieve an axillary pCR.
To evaluate the potential impact of the individual surgery or pathological examination we also investigated the dependence of LNY on the individual surgeon or pathologist, respectively. Fifteen surgeons, with six performing 75.8% of the ALNDs (404/533) and 19 pathologists, with five main specialists, performing 81.2% of the examinations (449/533), were involved. Univariate and multivariate analyses confirmed the independence of the LNY from individual surgeon pathologist as well as their specific interactions (data not shown).
Since NC is known to alter histomorphology of lymph nodes , including size and depletion of lymphocytes, which could potentially compromise their detectability, we investigated these features in more detail. In a consecutive series of 191 lymph node specimens, from 94 patients of PCG and 97 patients of PSG the histomorphological parameter median size, capsular invasion, diffuse fibrosis, lymphoid depletion, B-and T-cell accentuated depletion, signs of bleeding and calcification, were evaluated respectively.
Histomorphological criteria of lymph nodes
Median lymph node size
Signs of bleeding
Influence of histomorphological features on total lymph node yield in a subgroup of consecutive 191 breast cancer cases
Median lymph node size
Signs of bleeding
Clinical outcome depending on primary treatment
PCG (n = 168)
PSG (n = 321)
Hazard ratio (HR) with 95% CI
End of disease-free survival
Death for all reasons
Five-year local recurrence free survival rate
95% confidence interval (CI)
Five-year distant metastasis free survival rate
95% confidence interval (CI)
Five-year disease free survival rate
95% confidence interval (CI)
Five-year overall survival rate
95% confidence interval (CI)
The five-year DFS(OS) was 77.0% (82%) for the PCG and 80.1% (84.3%) (p = 0.412; (p = 0.547)) for the PSG, respectively, (Table 6).
The subgroup analyses for the PCG with an incomplete staged axilla (less than 10 nodes) did also not detect significant differences for clinical outcome in regards to local, regional and distant recurrences, respectively.
It is well known that NC could result in downstaging of positive axillary lymph nodes  but the potential influence of chemotherapy on the LNY and their morphology and detectibility is still unclear. Since an incomplete axillary staging might compromise further treatment modalities (e.g. radiation therapy) and curation rates, we examined over 500 patients in regards to this pertinent clinical question. We were able to identify clearly NC as a significant and independent factor for a reduced LNY (13 in the PCG vs. 16 in the PSG; p < 0.0001) by ALND. Our findings are in line with several smaller recently published studies which found similar decreased numbers [19–21]. The outcome analyses clearly indicated, that a reduced LNY did not affect five-year DFS as well as OS.
The rate of suboptimal staged axillae with less than 10 lymph nodes was also significantly higher in the PCG (14.8% vs. 3.4%; p < 0.0001). This phenomenon was also seen in two other trials with rates ranging from 13%  to 45% , respectively. As an important aspect, we could clearly exclude a negative effect on local, regional and distant recurrence rates, as well as DFS and OS, respectively.
Our two groups were significantly heterogeneous regarding a variety of baseline criteria, esp. tumor size and clinical nodal involvement, which both were markedly advanced in the PCG. This might be clinically reflected by the fact, that the rate of distant metastases is significantly higher in this group. The missing impact on OS might be due to the relatively limited follow up. However, applying multivariate analyses, we could exclude a significant influence of the described heterogeneity on our findings. Noteworthy, the known effect of an increasing age lowering the LNY , which was also significant in our cohort, did not lead to a lower LNY in our PSG, which was significantly older with a mean age of 60.3 years versus 49.8 years for the PCG. These results support our hypothesis of NC as the strongest variable for a diminished lymph node number.
The expertise of the individual surgeon as well as pathologist on the LNY was considered a strong predictor for the LNY [20, 22, 23]. However, in our study cohort multivariate analyses could not detect any significant influence of lymph node retrieval by the involved specialists as well as specific interactions between them. These findings strongly support the suggested profound impact of the NC itself on the lymph node detection frequency. The biological effect of chemotherapy is clearly visible by the detected downstaging effect with a lower number of lymph node positive patients (54.9% vs. 84.6%; p < 0.0001) in the PCG. These findings are in line with the NSABP-B18 trial, which found a comparable effect with lymph node metastasis in 41% neoadjuvant treatment group compared to 57% in the postoperative chemotherapy group . Nevertheless, as a consistent overall finding, axillary pCR did not alter the LNY in our study or influenced the regional recurrences rates.
Still, it remains unclear, if the observed biological effects of NC affect the histopathological work up and cause the observed lower detection rates. We revealed significant chemotherapy induced histomorphological changes within lymph nodes regarding the features lymphoid depletion, diffuse fibrosis, calcifications and signs of bleeding. Multivariate analyses identified lymphoid depletion as an independent histomorphological parameter for a lower LNY after NC. This might be explained by the fact that lymphoid depletion will lead to shrinkage of lymph nodes as well as to regression of lymphoid tissue. Both effects could hamper their detectability. These findings are in line with recently published studies which reported also chemotherapy-induced changes in lymph nodes including lymphoid depletion [18, 25, 26]. These signs were suggested to be surrogates for previous lymph node metastasis which responded completely to therapy . Clinically, this is of high importance, since a broad number of studies have already correlated clinical and pathologic primary tumor responses with outcome [24, 28–32]. However in our study, lymphoid depletion was not associated with a higher axillary response rate (pCR).
Since treatment response might be also an additional potential factor affecting the LNY, our present study evaluated also the pathological tumor response according to Sinn by a standardized classification system for the regression grade . Interestingly, the histopathologically evaluated response rates had no significant impact on LNY, specifically the axillary response rates did not influence the LNY. Furthermore, axillary response was no predictor for later axillary recurrence.
In conclusion, our study on more than 500 patients with primary BC clearly identified NC as a significant independent parameter for a reduced LNY by ALND. Furthermore, the NC concept had profound effects on the histomorphological appearance of lymph nodes. Lymphoid depletion was a strong independent factor for a lower number of yielded axillary lymph nodes after NC. These histological changes could hamper the detectability of lymph nodes which was investigator independent. However, the lower LNY had no impact on clinical outcome. The still existing recommendations for a minimum removal of 10 lymph nodes by ALND are clearly compromised by the clinically already established concept of NC. Consequently, the lymph node count of less than 10 by ALND after NC is not indicative for an insufficient axillary staging. Therefore, guideline recommendations for the future should consider the combination of both innovative treatment modalities.
The institutional ethical review board of University of Freiburg, review board approved the investigation protocol with the number 324/09.
Written informed consent was obtained from all patients for the publication of this report and any accompanying images.
- Carter CL, Allen C, Henson DE: Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases. Cancer. 1989, 63 (1): 181-187. 10.1002/1097-0142(19890101)63:1<181::AID-CNCR2820630129>3.0.CO;2-H.View ArticlePubMedGoogle Scholar
- Silverstein MJ, Skinner KA, Lomis TJ: Predicting axillary nodal positivity in 2282 patients with breast carcinoma. World J Surg. 2001, 25 (6): 767-772. 10.1007/s00268-001-0003-x.View ArticlePubMedGoogle Scholar
- Fowble B, Solin LJ, Schultz DJ, Goodman RL: Frequency, sites of relapse, and outcome of regional node failures following conservative surgery and radiation for early breast cancer. Int J Radiat Oncol Biol Phys. 1989, 17 (4): 703-710. 10.1016/0360-3016(89)90055-2.View ArticlePubMedGoogle Scholar
- Salama JK, Heimann R, Lin F, Mehta N, Chmura SJ, Singh R, Kao J: Does the number of lymph nodes examined in patients with lymph node-negative breast carcinoma have prognostic significance?. Cancer. 2005, 103 (4): 664-671. 10.1002/cncr.20830.View ArticlePubMedGoogle Scholar
- Sosa JA, Diener-West M, Gusev Y, Choti MA, Lange JR, Dooley WC, Zeiger MA: Association between extent of axillary lymph node dissection and survival in patients with stage I breast cancer. Ann Surg Oncol. 1998, 5 (2): 140-149. 10.1007/BF02303847.View ArticlePubMedGoogle Scholar
- Mersin H, Yildirim E, Bulut H, Berberoglu U: The prognostic significance of total lymph node number in patients with axillary lymph node-negative breast cancer. Eur J Surg Oncol. 2003, 29 (2): 132-138. 10.1053/ejso.2002.1285.View ArticlePubMedGoogle Scholar
- Polednak AP: Survival of lymph node-negative breast cancer patients in relation to number of lymph nodes examined. Ann Surg. 2003, 237 (2): 163-167.PubMedPubMed CentralGoogle Scholar
- Weir L, Speers C, D’Yachkova Y, Olivotto IA: Prognostic significance of the number of axillary lymph nodes removed in patients with node-negative breast cancer. J Clin Oncol. 2002, 20 (7): 1793-1799. 10.1200/JCO.2002.07.112.View ArticlePubMedGoogle Scholar
- van der Wal BC, Butzelaar RM, van der Meij S, Boermeester MA: Axillary lymph node ratio and total number of removed lymph nodes: predictors of survival in stage I and II breast cancer. Eur J Surg Oncol. 2002, 28 (5): 481-489. 10.1053/ejso.2002.1239.View ArticlePubMedGoogle Scholar
- Joslyn SA, Konety BR: Effect of axillary lymphadenectomy on breast carcinoma survival. Breast Cancer Res Treat. 2005, 91 (1): 11-18. 10.1007/s10549-004-6276-7.View ArticlePubMedGoogle Scholar
- Chetty U, Jack W, Prescott RJ, Tyler C, Rodger A: Management of the axilla in operable breast cancer treated by breast conservation: a randomized clinical trial. Edinburgh Breast Unit. Br J Surg. 2000, 87 (2): 163-169. 10.1046/j.1365-2168.2000.01345.x.View ArticlePubMedGoogle Scholar
- Moorman PG, Hamza A, Marks JR, Olson JA: Prognostic significance of the number of lymph nodes examined in patients with lymph node-negative breast carcinoma. Cancer. 2001, 91 (12): 2258-2262. 10.1002/1097-0142(20010615)91:12<2258::AID-CNCR1256>3.0.CO;2-V.View ArticlePubMedGoogle Scholar
- Vinh-Hung V, Cserni G, Burzykowski T, van de Steene J, Voordeckers M, Storme G: Effect of the number of uninvolved nodes on survival in early breast cancer. Oncol Rep. 2003, 10 (2): 363-368.PubMedGoogle Scholar
- Somner JE, Dixon JM, Thomas JS: Node retrieval in axillary lymph node dissections: recommendations for minimum numbers to be confident about node negative status. J Clin Pathol. 2004, 57 (8): 845-848. 10.1136/jcp.2003.015560.View ArticlePubMedPubMed CentralGoogle Scholar
- Kiricuta CI, Tausch J: A mathematical model of axillary lymph node involvement based on 1446 complete axillary dissections in patients with breast carcinoma. Cancer. 1992, 69 (10): 2496-2501. 10.1002/1097-0142(19920515)69:10<2496::AID-CNCR2820691018>3.0.CO;2-T.View ArticlePubMedGoogle Scholar
- Sinn HP, Schmid H, Junkermann H, Huober J, Leppien G, Kaufmann M, Bastert G, Otto HF: Histologic regression of breast cancer after primary (neoadjuvant) chemotherapy. Geburtshilfe Frauenheilkd. 1994, 54 (10): 552-558. 10.1055/s-2007-1022338.View ArticlePubMedGoogle Scholar
- Kreienberg RAU, Follmann M, Kopp I, Kuehn T, Woeckel A, Zemmler T: Interdisziplinäre S3-Leitlinie für die Diagnostik, Therapie und Nachsorge des Mammakarzinoms. Leitlinienprogramm Onkologie. S3-Leitlinie Brustkrebs. Leitlinienprogramm Onkologie. 2012, 3.0: http://www.krebsgesellschaft.de/download/S3_Brustkrebs_Update_2012_OL_Langversion.pdf,Google Scholar
- Fan F: Evaluation and reporting of breast cancer after neoadjuvant chemotherapy. Open Pathol J. 2009, 3: 58-63. 10.2174/1874375700903020058.View ArticleGoogle Scholar
- Baslaim MM, Al Malik OA, Al-Sobhi SS, Ibrahim E, Ezzat A, Ajarim D, Tulbah A, Chaudhary MA, Sorbris RA: Decreased axillary lymph node retrieval in patients after neoadjuvant chemotherapy. Am J Surg. 2002, 184 (4): 299-301. 10.1016/S0002-9610(02)00959-5.View ArticlePubMedGoogle Scholar
- Belanger J, Soucy G, Sideris L, Leblanc G, Drolet P, Mitchell A, Leclerc YE, Beaudet J, Dufresne MP, Dube P: Neoadjuvant chemotherapy in invasive breast cancer results in a lower axillary lymph node count. J Am Coll Surg. 2008, 206 (4): 704-708. 10.1016/j.jamcollsurg.2007.10.016.View ArticlePubMedGoogle Scholar
- Neuman H, Carey LA, Ollila DW, Livasy C, Calvo BF, Meyer AA, Kim HJ, Meyers MO, Dees EC, Collichio FA, et al: Axillary lymph node count is lower after neoadjuvant chemotherapy. Am J Surg. 2006, 191 (6): 827-829. 10.1016/j.amjsurg.2005.08.041.View ArticlePubMedGoogle Scholar
- Schaapveld M, Otter R, de Vries EG, Fidler V, Grond JA, van der Graaf WT, de Vogel PL, Willemse PH: Variability in axillary lymph node dissection for breast cancer. J Surg Oncol. 2004, 87 (1): 4-12. 10.1002/jso.20061.View ArticlePubMedGoogle Scholar
- Petrik DW, McCready DR, Sawka CA, Goel V: Association between extent of axillary lymph node dissection and patient, tumor, surgeon, and hospital factors in patients with early breast cancer. J Surg Oncol. 2003, 82 (2): 84-90. 10.1002/jso.10198.View ArticlePubMedGoogle Scholar
- Fisher B, Bryant J, Wolmark N, Mamounas E, Brown A, Fisher ER, Wickerham DL, Begovic M, DeCillis A, Robidoux A, et al: Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. J Clin Oncol. 1998, 16 (8): 2672-2685.PubMedGoogle Scholar
- Kuroi K, Toi M, Tsuda H, Kurosumi M, Akiyama F: Issues in the assessment of the pathologic effect of primary systemic therapy for breast cancer. Breast Cancer (Tokyo, Japan). 2006, 13 (1): 38-48. 10.2325/jbcs.13.38.View ArticleGoogle Scholar
- Aktepe F, Kapucuoglu N, Pak I: The effects of chemotherapy on breast cancer tissue in locally advanced breast cancer. Histopathology. 1996, 29 (1): 63-67. 10.1046/j.1365-2559.1996.d01-485.x.View ArticlePubMedGoogle Scholar
- Sneige N, Kemp B, Pusztai L, Asmar L, Hortobagyi GN: Chemotherapy-induced histologic changes in mastectomy specimens and their potential significance. Breast (Edinburgh, Scotland). 2001, 10 (6): 492-500. 10.1054/brst.2001.0310.View ArticleGoogle Scholar
- Scholl SM, Fourquet A, Asselain B, Pierga JY, Vilcoq JR, Durand JC, Dorval T, Palangie T, Jouve M, Beuzeboc P, et al: Neoadjuvant versus adjuvant chemotherapy in premenopausal patients with tumours considered too large for breast conserving surgery: preliminary results of a randomised trial: S6. Eur J Cancer. 1994, 30A (5): 645-652.View ArticlePubMedGoogle Scholar
- Ellis P, Smith I, Ashley S, Walsh G, Ebbs S, Baum M, Sacks N, McKinna J: Clinical prognostic and predictive factors for primary chemotherapy in operable breast cancer. J Clin Oncol. 1998, 16 (1): 107-114.PubMedGoogle Scholar
- Wolmark N, Wang J, Mamounas E, Bryant J, Fisher B: Preoperative chemotherapy in patients with operable breast cancer: nine-year results from national surgical adjuvant breast and bowel project B-18. J Natl Cancer Inst. 2001, 30: 96-102.View ArticleGoogle Scholar
- 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 (22): 4224-4237.PubMedGoogle Scholar
- Kuerer HM, Newman LA, Smith TL, Ames FC, Hunt KK, Dhingra K, Theriault RL, Singh G, Binkley SM, Sneige N, et al: Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy. J Clin Oncol. 1999, 17 (2): 460-469.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/14/4/prepub
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