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The association between age and lymph node status among patients with breast cancer after neoadjuvant chemotherapy: Eastern European population-based retrospective cohort study

  • Open Access
  • 01.03.2026
  • Research
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Abstract

Background

It is estimated that the incidence of breast cancer (BC) will steadily increase, particularly within the elderly (≥ 65 years of age) group of patients. In this population, both breast-conserving treatment (BCT) and mastectomy have been proven effective in terms of overall survival (OS). However, the debate over the necessity of axillary procedures (sentinel node biopsy, axillary lymph node dissection) among elderly BC individuals remains ongoing. With limited data on clinical outcomes among elderly BC patients receiving neoadjuvant chemotherapy (NAC) in Eastern European individuals, the aim of the current study was to evaluate the association between age and LN status on clinical outcomes and OS in BC patients after NAC. In addition, the influence of demographic and clinical factors on the incidence of LN metastasis was assessed.

Methods

Female patients with histologically confirmed non-metastatic (cT1-4N0-3M0) BC who underwent multimodal treatment and with curative intent between 2013 and 2023 in two Polish university centers were included in the study and divided into elderly (≥ 65) and non-elderly (< 65) groups. Patients who had not undergone NAC or had incomplete histopathological report or survival data were excluded.

Results

A total of 637 patients were included in the final analytic cohort. In both the elderly (n = 136) and non-elderly (n = 501) groups, higher clinical tumor (cT) stage, higher post treatment pathological tumor (ypT) stage, and clinically positive nodes (cN+) were associated with increased odds of postoperative metastatic LNs (all p < 0.01). Residual nodal disease (ypN+) and higher ypT stage were associated with worse OS in the non-elderly group, (HR = 5.95; 95% CI 2.38–14.90; p = 0.0002; and HR = 1.99; 95% CI 1.09–3.63; p = 0.0259, respectively). In contrast, in the elderly group, ypN status was not significantly associated with OS.

Conclusion

In this Eastern European cohort of BC patients treated with NAC, post-treatment lymph node status showed age-dependent prognostic value. Residual nodal disease remained a strong adverse prognostic factor in non-elderly patients, whereas its association with overall survival was not observed in elderly patients. These findings support further research on age-tailored axillary strategies after NAC, ideally in prospective studies.
Paweł Bogacz and Kamil Torres contributed equally to this work.

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Introduction

Breast cancer (BC) remains a primary global health concern, with an increasing rate of individuals being elderly, i.e., diagnosed over the age of 65 (Howlader 2021). It is estimated that the incidence in elderly patients will reach 35% of all BC diagnoses by 2035 (Rosenberg et al. 2015). Within this population, both breast-conserving treatment (BCT) and mastectomy have been proven effective in terms of overall survival (OS) (Williams et al. 2022). However, the debate over the necessity of axillary procedures in elderly BC patients is still ongoing (Biganzoli et al. 2012). Both sentinel node biopsy (SNB) and axillary lymph node dissection (ALND) can result in complications and impaired quality of life. Furthermore, the long-term oncological benefit of these procedures remains unclear (Hughes et al. 2013, Vrancken Peeters et al. 2024). In 2016, the Society of Surgical Oncology guidelines advised against the routine application of SNB for women aged 70 and above who exhibit clinically negative lymph nodes (LN) and have early-stage hormone receptor-positive, HER2-negative invasive BC (http://www.surgonc.org/wp-content/uploads/2020/11/SSO-5things-List_2020-Updates-11-2020.pdf2020). However, there is limited data on oncological outcomes in elderly BC patients receiving neoadjuvant chemotherapy (NAC).
Although elderly patients are much more likely to be diagnosed with hormone-sensitive BC, they often present with contraindications to systemic chemotherapy due to comorbidities and frailty (Howlader et al. 2014, Plichta et al. 2020, Repetto 2003). Additionally, response rates to NAC in elderly patients, particularly in the Eastern European population, remain to be elucidated. A recent pooled analysis of eight randomized controlled trials (RCT) showed lower rates of pathologic complete response (pCR) in elderly BC patients compared with non-elderly individuals (12% vs. 21%) (Waldenfels et al. 2018) In this context, the ADVANCE pilot study focused on evaluating and tailoring NAC and adjuvant chemotherapy (AC) receipt in elderly BC patients (Freedman et al. 2023). Although the goal of the study was to provide preliminary results as a precursor to a large clinical trial, the endpoints were not achieved and the optimal systemic treatment for geriatric patients was not established.
The aim of the current study was to evaluate the impact of age on LN status, clinical outcomes, and OS in elderly BC patients after NAC. In addition, the influence of demographic and clinical factors on the incidence of LN metastasis was assessed.

Methods

Data source, study design, and definitions

Female individuals with histologically confirmed non-metastatic (cT1-4N0-3M0) BC who underwent multimodal treatment with curative intent between 2013 and 2023 in two expert, high-volume academic centers (Department of Surgical Oncology, Medical University of Lublin and Department of Surgical Oncology Medical University of Bydgoszcz) were included in the study. cN was evaluated using both physical examination and axillary ultrasound. In cases with suspicious axillary findings, ultrasound-guided fine-needle aspiration or core biopsy was performed. Patients aged 65 and above comprised the elderly group, while individuals below 65 were classified as non-elderly. Patients who had not undergone NAC or had incomplete histopathological reports or survival data were excluded from the study (Fig. 1). The study was approved by the Institutional Review Board of the Medical University of Lublin (KE-0221-34-2022). All patients signed informed consent before study enrolment. The study was performed in accordance with the declaration of Helsinki.
Fig. 1
Flowchart of the study
Bild vergrößern

Neoadjuvant chemotherapy

Each patient underwent an assessment for eligibility for NAC based on the decision made by the multidisciplinary team. NAC was administered in compliance with national guidelines based on the clinical staging and molecular subtype. In accordance with national protocols used in the participating centers, the preferred regimen consisted of four cycles of conventional or dose-dense AC (doxorubicin 75 mg/m2 with cyclophosphamide 750 mg/m2), followed by 12 weekly doses of paclitaxel (80 mg/m²) or four cycles of docetaxel (100 mg/m² every 3 weeks). In HER2 + disease, neoadjuvant chemotherapy was combined with trastuzumab, with or without pertuzumab depending on availability and guideline changes over the study period. Anti-HER2 therapy was continued postoperatively to complete a total of 12 months of treatment in accordance with national protocols.Patients with primary BC exhibiting human epidermal growth factor receptor 2 (HER2) protein overexpression and/or HER2 gene amplification (HER2-positive) received additional anti-HER2 therapy. Pathologic complete response (pCR) was defined as the absence of residual invasive carcinoma in both the breast and axillary lymph nodes (ypT0/is ypN0).

Sentinel node biopsy

SNB was performed using a radioisotope (RI) and superparamagnetic iron oxide (SPIO) methods. In the RI method, an isotope 99mTc with an activity ranging from 75 to 100 MBq was utilized and delivered on an albumin carrier (Nanocol). Lymphoscintigraphy was conducted approximately 2–3 h before surgery, with the radiotracer administered through a periareolar intradermal injection into the lesion-specific breast quadrant. Intraoperative identification of areas with increased radiotracer capture within the axilla and measurement of radiation levels (hot spots) were evaluated using a manual gamma radiation detector from various manufacturers (Crystal Probe GmbH, Germany; Crystal Photonics GmbH, Berlin, Germany; NeoProbe, San Diego, California; Auto Suture, Norwalk, Connecticut). SPIO method employed a handheld magnetometer (SentiMag®, Sysmex Europe GmBH, Hamburg, Germany), enabling non-radioactive detection and localization of SLNs prior to surgical retrieval. Sienna+® (Sysmex Europe GmBH, Hamburg, Germany) and Magtrace® (Endomagnetics Limited, Cambridge, UK) were utilized. SPIO was injected deeply into the subareolar interstitial tissue, followed by measurements with the SentiMag® probe as previously outlined (Kurylcio et al. 2021). All visualized SLNs were excised irrespective of the method until the background signal was reduced to less than 10% of its peak value during SNB. The method’s efficacy was evaluated based on retrieving a minimum of three SLNs, as confirmed in detailed histopathological reports, aligning with the 2019 St. Gallen Consensus Conference guidelines (Balic et al. 2019). ALND was defined as removal of axillary nodes from levels I and II, usually including ≥ 10 nodes, although in some post-NAC cases fewer nodes were obtained due to fibrosis. Indications for ALND included persistent clinical or radiological suspicion of nodal disease after NAC, positive SNB after NAC (macrometastasis or micrometastasis), or intraoperative frozen section confirmation of nodal metastasis. In our cohort, 41 patients underwent direct ALND without SNB because of persistent nodal positivity, while 24 had ALND following SNB.

Variables and outcomes

Clinicopathological data included age, AJCC (Teichgraeber et al. 2021) post-pathological tumor (ypT) and nodal (ypN) stages, molecular subtype, BMI, weight, type of surgery, receipt of NAC, resection margin status, number of harvested LNs, pathological tumor response to NAC (Pinder et al. 2007). Luminal A tumors were defined as ER-positive, PR ≥ 20%, HER2-negative, and Ki-67 < 20%. Luminal B tumors were ER-positive with either PR < 20%, HER2 positivity, or Ki-67 ≥ 20% (Balic et al. 2019). Response to NAC was assessed using predefined institutional pathological regression categories (pCR, > 90%, 50–90%, < 50%, and no response). For analytical purposes, pathological complete response (pCR) and tumor regression > 90% were jointly referred to as near-complete tumor regression versus tumor regression < 90% and no response. The primary outcome of the study was OS, defined as the time elapsed between surgery and death or last follow-up.

Statistical analysis

Statistical analysis of the data was performed using Stata/BE 18.0. Given the absence of a normal data distribution (assessed by the D’Agostino-Pearson test), the median and the interquartile range or minimum-maximum range were used to present the concentration and dispersion of the data. Categorized or dichotomized variables were represented as numbers and percentages. Comparisons of the total number of LNs involved depending on demographic and clinical variables were performed using the Mann-Whitney U test (comparisons of two independent groups) or ANOVA Kruskal-Wallis (comparisons of more than two independent groups). Univariable analysis of the impact of demographic and clinical variables on the risk of LNs involvement was based on the calculation of odds ratio (OR) and corresponding 95% confidence intervals (CI). In the multivariable analysis of the association between demographic and clinical variables and the risk of LNs involvement logistic regression models (including calculation of OR and corresponding 95%CI) were used. The backward elimination method was used to indicate variables that should be included in multivariable analyses (cN, ypT, response to NAC, molecular type). Univariable analysis of the impact of demographic and clinical variables on the OS was based on the calculation of hazard ratio (HR) and corresponding 95% CI. In the multivariable analysis of the influence of demographic and clinical variables on the OS Cox proportional-hazard regression models (including calculation of HR and corresponding 95%CI) were used. The backward elimination method was used to indicate variables that should be included in multivariable analyses (ypT, ypN, response to NAC). Two-sided tests were used for all analyses, and statistical significance was defined as a p-value below 0.05. Regression coefficients expressed as odds ratio were T1–T2 for cT, cN0 for cN, ypT0–2 for ypT, ≥ 90% regression including pCR for NAC response, non-TNBC for TNBC analysis, non-HER2 + for HER2 + analysis, and non-obese for BMI. Molecular subtype was included as a covariate in both univariable and multivariable regression models to account partially for biological heterogeneity among luminal HER2 + and TNBC.

Results

Patient characteristics

A total of 637 female patients who underwent multimodal treatment for locally advanced, non-metastatic BC were included in the final analytic cohort. Most patients were women below the age of 65 years (78%). Most common histological subtype was luminal B followed by triple negative BC (TNBC), HER2 + and luminal A (45%, 35%, 11%, and 8% respectively.) The majority of patients had ypT0 (37%) and ypT1 (36%) tumors. SNB was performed in 93% of the individuals. LN metastasis (ypN) was observed in 24% of patients. The most frequently performed surgery was BCT (53%), and most procedures had negative resection margins (88%). Elderly individuals showed a significantly higher proportion of luminal A tumors (15% vs. 6%, p = 0.0124). a higher incidence of more advanced tumors (ypT2-3, 37% vs. 23%, p = 0.0022), metastatic LNs (28.6% vs. 20.8%, p = 0.0098), and HER2 + molecular type (13% vs. 11%, p = 0.0124) when compared with younger patients. ALND (12% vs. 5%, p = 0.0023) and non-BCT (64% vs. 41%, p < 0.0001) were performed more frequently among the elderly group. Of note, elderly patients also had a higher proportion of < 90% tumor regression after NAC compared with younger patients (53% vs. 45%). (Table 1).
Table 1
Clinicopathologic characteristics of the analytic cohort
Variable
Non-elderly (n = 501)
Elderly (n = 136)
P
cT
T1
T2
T3
T4
66 (13.2%)
340 (67.9%)
65(13%)
30 (6%)
19 (14%)
86 (63.2%)
18 (13.2%)
13 (9.6%)
0.4900
cN
N0
N1
N2
N3
460 (91.8%)
37 (7.4%)
4 (0.8%)
0 (0%)
122 (89.7%)
12 (8.8%)
1 (0.7%)
1 (0.7%)
0.2583
ypT
T0
T1
T2
T3
T4
202 (40.3%)
182 (36.3%)
105 (21%)
7 (1.4%)
5 (1%)
36 (26.5%)
50 (36.8%)
40 (29.4%)
5 (3.7%)
5 (3.7%)
0.0022
ypN
N0
N1
N2
N3
387 (79.2%)
78 (15.6%)
21 (4.2%)
5 (1%)
97 (71.3%)
25 (18.4%)
7 (5.1%)
7 (5.1%)
0.0098
Response to NAC
pCR
Response > 90%
Response of 50–90% Response < 50%
No response
184 (38.2%)
75 (15.6%)
177 (36.7%)
26 (5.4%)
20 (4,1%)
38 (29.9%)
16 (12.6%)
54 (42.5%)
6 (4.7%)
13 (10,2%)
0.0631
Involved LNs
Median [IQR] (min-max)
0 [0.0–0.0]
(0.0–22.0)
0 [0.0–1.0]
(0.0–33.0)
0.0872
Axillary procedure
SNB
ALND
477 (95.2%)
24 (4.8%)
119 (87.5%)
17 (12.5%)
0.0023
Molecular subtype
A
B
HER2+
TNBC
32 (6.4%)
233 (46.9%)
54 (10.9%)
178 (35.8%)
20 (14.8%)
53 (39.3%)
17 (12.6%)
45 (33.3%)
0.0124
BMI
Median [IQR] (min-max)
25.2 [21.7–28.6] (15-60.4)
25.4 [23–30] (16.1–47.8)
0.0932
Weight according to BMI (WHO)
Underweight
Desirable
Overweight
Obesity
38 (7.6%)
204 (41%)
162 (32.6%)
93 (18.7%)
10 (7.4%)
52 (38.5%)
39 (28.9%)
34 (25.2%)
0.4157
Type of surgery
BCT
MRM
SM
NSM + IBR
Other
294 (58.7%)
19 (3.8%)
39 (7.8%)
70 (14%)
79 (15.8%)
49 (36%)
14 (10.3%)
19 (14%)
1 (0.7%)
53 (39%)
< 0.0001
Margins
R0
R1
435 (86.8%)
66 (13.2%)
123 (90.4%)
13 (9.6%)
0.3234
Bold numbers indicate statistical significance (p<0.05)
NAC- neoadjuvant chemotherapy, pCR – pathological complete response, LNs- lymph nodes, SNB- sentinel node biopsy, ALND- axillary lymph node dissection, TNBC- triple negative breast cancer, BCT- breast conserving treatment, MRM- modified radical mastectomy, SM- simple mastectomy, NSM + IBR- nipple sparing mastectomy + immediate breast reconstruction; cT- clinical tumor stage; cN -clinical nodal stage; ypT -post-treatment clinical tumor stage; ypN- post-treatment clinical nodal stage

The impact of demographic and clinical factors on the risk of LN involvement within non-elderly BC patients

On univariable analysis, factors associated with an increased odds of postoperative metastatic LNs included higher cT stage (T3, T4; OR = 3.03; 95% CI 1.86–4.95, p < 0.0001), clinically metastatic LNs (OR = 3.81; 95% CI 1.97–7.35, p = 0.0001), higher ypT stage (T3, T4; OR = 21.01; 95% CI 4.53 = 97.50, p = 0.0001), and obesity (OR = 1.63; 95% CI 1.04–2.53, p = 0.0326). Of note, factors associated with decreased odds of postoperative metastatic LNs included achieving breast pCR or near-complete breast tumor regression after NAC (OR = 0.16; 95% CI 0.09–0.27, p < 0.0001), followed by TNBC (OR = 0.34; 95% CI 0.2–0.58, p = 0.0001), and HER2+ (OR = 0.28;95% CI 0.10–0.80, p = 0.0172 ) molecular subtypes. On multivariable analysis, factors associated with an increased odds of postoperative metastatic LNs included higher cT stage (T3, T4; OR = 2.28; 95% CI 1.30-4.00, p = 0.0040), clinically metastatic LNs (OR = 4.07; 95% CI 1.76–9.42, p = 0.0010), and higher ypT stage (T3, T4; OR = 14.85; 95% CI 2.97–74.12, p = 0.0010). Of note, factors associated with a decreased odds of postoperative metastatic LNs included a pCR response to NAC (OR = 0.28, 95% CI 0.16–0.51, p < 0.0001 ), followed by TNBC (OR = 0.39; 95% CI 0.21–0.72, p = 0.0024 ), and HER2+ (OR = 0.28; 95% CI 0.09–0.91, p = 0.0334 ) subtypes (Table 2).
Table 2
The impact of demographic and clinical factors on the OS
Variable
ypN
Univariable
Multivariable
N-
N+
OR [95%CI]
P
OR [95%CI]
P
cT
1,2
3,4
338 (83.3%)
59 (62.1%)
68 (16.7%)
36 (37.9%)
3.03 [1.86–4.95]
< 0.0001
2.28 [1.30-4.00]
0.0040
cN
N-
N+
375 (81.5%)
22 (53.7%)
85 (18.5%)
19 (46.3%)
3.81 [1.97–7.35]
0.0001
4.07 [1.76–9.42]
0.0010
ypT
0–2
3,4
192 (95%)
205 (68.6%)
10 (5%)
94 (31.4%)
21.01 [4.53–97.50]
0.0001
14.85 [2.97–74.12]
0.0010
Response to NAC
< 90% and no response vs.
≥ 90% and pCR
143 (64.1%)
238 (91.9%)
80 (35.9%)
21 (8.1%)
0.16 [0.09–0.27]
< 0.0001
0.28 [0.16–0.51]
< 0.0001
Molecular subtype
A, B, HER2+
TNBC
236 (74%)
159 (89.3%)
83 (26%)
19 (10.7%)
0.34 [0.2–0.58]
0.0001
0.39 [0.21-072]
0.0024
Molecular subtype
A, B, TNBC
HER2+
345 (77.9%)
50 (92.6%)
98 (22.1%)
4 (7.4%)
0.28 [0.1–0.8]
0.0172
0.28 [0.09–0.91]
0.0334
Weight according to BMI (WHO)
Non-obesity
Obesity
202 (83.5%)
193 (75.7%)
40 (16.5%)
62 (24.3%)
1.63 [1.04–2.53]
0.0326
1.62 [1.00-2.72]
0.0670
Bold numbers indicate statistical significance (p<0.05)
NAC- neoadjuvant chemotherapy, TNBC- triple negative breast cancer, pCR – pathological complete response

The impact of demographic and clinical factors on the risk of LN involvement within elderly BC patients

On univariable analysis, factors associated with an increased odds of postoperative metastatic LNs included higher cT stage (T3, T4; OR = 3.80; 95% CI 1.64–8.83, p = 0.0019), clinically involved LNs (OR = 5.52; 95% CI 1.72–17.76, p = 0.0042), higher ypT stage (T3, T4; OR = 6.85; 95% CI 1.67–28.10, p = 0.0075), and obesity (OR = 2.68; 95%CI 1.18–6.09, p = 0.0188). Of note, pCR to NAC was associated with decreased odds of metastatic LNs (OR = 0.26; 95% CI 0.11–0.64, p = 0.0032). On multivariable analysis, factors associated with an increased odds of postoperative metastatic LNs included higher cT stage (T3, T4; OR = 4.10; 95% CI 1.46–11.50, p = 0.0019), clinically involved LNs (OR = 19.12; 95% CI 3.68–99.39, p = 0.0005), higher ypT stage (T3, T4; OR = 7.02;95% CI 1.39–35.51, p = 0.0185), and obesity (OR = 4.49; 95% CI 1.62–12.48, p = 0.0040) (Table 3).
Table 3
The impact of demographic and clinical factors on the risk of lymph node involvement in the elderly BC patients
Variable
ypN
Univariable
Multivariable
N-
N+
OR [95%CI]
P
OR [95%CI]
P
cT
1,2
3,4
82 (78.1%)
15 (48.4%)
23 (21.9%)
16 (51.6%)
3.80 [1.64–8.83]
0.0019
4.10 [1.46–11.50]
0.0019
cN
N-
N+
92 (75.4%)
5 (35.7%)
30 (24.6%)
9 (64.3%)
5.52 [1.72–17.76]
0.0042
19.12 [3.68–99.39]
0.0005
ypT
0–2
3,4
34 (94.4%)
63 (63%)
2 (5.6%)
37 (37%)
6.85 [1.67–28.10]
0.0075
7.02 [1.39–35.51]
0.0185
Response to NAC
< 90% and no response vs.
≥ 90% and pCR
44 (60.3%)
46 (85.2%)
29 (39.7%)
8 (14.8%)
0.26 [0.11–0.64]
0.0032
0.48 [0.14–1.66]
0.2475
Molecular subtype
A, B, HER2+
TNBC
60 (66.7%)
37 (82.2%)
30 (33.3%)
8 (17.8%)
0.43 [0.18–1.04]
0.0622
0.40 [0.13–1.23]
0.1109
Molecular subtype
A, B, TNBC
HER2+
81 (68.6%)
16 (94.1%)
37 (31.4%)
1 (5.9%)
0.14 [0.02–1.07]
0.0581
0.38 [0.04–3.25]
0.3743
Weight according to BMI (WHO)
Non-obesity
Obesity
78 (77.2%)
19 (55.9%)
23 (22.8%)
15 (44.1%)
2.68 [1.18–6.09]
0.0188
4.49 [1.62–12.48]
0.0040
Bold numbers indicate statistical significance (p<0.05)
NAC- neoadjuvant chemotherapy, TNBC- triple negative breast cancer, pCR – pathological complete response.

The impact of demographic and clinical factors on survival

On univariable analysis, in the non-elderly group, factors associated with increased risk of death included metastatic LNs (HR = 1.98; 95% CI 1.01–3.85, p = 0.0157). Of note, a significantly decreased risk of death was observed in patients undergoing BCT (HR = 0.48; 95% CI 0.28–0.82, 0.0069). Moreover, a trend toward a significantly decreased risk of death was observed in patients with pCR to NAC (HR = 0.60; p = 0.0569). In the elderly group, a higher cT stage (T3, T4; HR = 0.35; 95% CI 0.17–0.7, p = 0.0201) was associated with a decreased risk of death. On multivariable analysis,
in the non-elderly group, factors associated with an increased risk of death included a higher ypT stage (HR = 5.95; 95% CI 2.38–14.9, p = 0.0002), and metastatic LNs (HR = 1.99; 95% CI 1.09–3.63, p = 0.0259). Of note, a decreased risk of death was observed in individuals undergoing BCT (HR = 0.53; 95% CI 0.30–0.93, p = 0.0026). In the elderly group, a higher cT stage (T3, T4; HR = 0.21; 95% CI 0.07–0.58, p = 0.0030) was associated with a decreased risk of death (Table 4). The influence of ypN status on OS among elderly and non-elderly groups is shown in Fig. 2.
Table 4
The impact of demographic and clinical factors on the OS
Variable
Non-elderly
Elderly
mOS
Univariable
Multivariable
mOS
Univariable
Multivariable
HR [95%CI] P
HR [95%CI] P
HR [95%CI] P
HR [95%CI] P
cT
1,2
3,4
NR
NR
1.19 [0.62–2.30]
0.5754
1.03 [0.54–1.96]
0.9255
73.6
NR
0.35 [0.17–0.7]
0.0201
0.21 [0.07–0.58]
0.0030
cN
N-
N+
NR
NR
1.86 [0.47–7.10]
0.2230
1.81 [0.94–5.11]
0.2646
NR
NR
0.50 [0.12–2.09]
0.4734
0.44 [0.06–3.25]
0.4258
ypT
0–2
3,4
NR
32
1.21 [0.70–2.09]
0.4962
5.95 [2.38–14.90]
0.0002
NR
NR
1.12 [0.38–3.31]
0.8298
1.71 [0.60–4.96]
0.3256
ypN
N-
N+
NR
NR
1.98 [1.01–3.85]
0.0157
1.99 [1.09–3.63]
0.0259
NR
67.4
1.55 [0.76–3.17]
0.1939
1.65 [0.63–4.31]
0.3091
Response to NAC
< 90% and no response vs.
≥ 90% and pCR
NR
NR
0.60 [0.35–1.02]
0.0569
0.71 [0.42–1.20]
0.2037
73.6
NR
0.70 [0.36–1.36]
0.3081
0.74 [0.36–1.53]
0.4212
Axillary procedure
SNB
ALND
NR
NR
2.20 [0.60–8.03]
0.0851
1.78 [0.69–4.57]
0.2348
NR
NR
1.12 [0.42–2.99]
0.8123
1.30 [0.44–3.85]
0.6331
Molecular subtype
A, B, HER2+
TNBC
NR
NR
1.54 [0.87–2.72]
0.1174
1.18 [0.39–3.55]
0.7754
NR
73.6
0.69 [0.34–1.37]
0.3241
0.85 [0.38–1.91]
0.7016
Molecular subtype
A, B, TNBC
HER2+
NR
NR
1.05 [0.44–2.49]
0.9164
1.25 [0.53–2.95]
0.6168
NR
NR
0.57 [0.22–1.47]
0.3464
0.51 [0.15–1.69]
0.2743
Weight according to BMI (WHO)
Non-obesity
Obesity
NR
NR
0.94 [0.55–1.61]
0.8149
0.86 [0.50–1.48]
0.5885
NR
NR
0.89 [0.46–1.72]
0.7172
0.82 [0.40–1.65]
0.5722
Type of surgery
Other
BCT
NR
NR
0.48 [0.28–0.82]
0.0069
0.53 [0.30–0.93]
0.0026
NR
66.4
1.16 [0.57–2.35]
0.6744
1.20 [0.57–2.56]
0.6309
Margins
R0
R1
NR
NR
1.35 [0.75–2.43]
0.2731
1.22 [0.40–3.68]
0.7289
NR
56.9
1.89 [0.56–6.35]
0.1749
0.92 [0.29–2.93]
0.8886
Bold numbers indicate statistical significance (p<0.05)
NAC- neoadjuvant chemotherapy, LNs- lymph nodes, SNB- sentinel node biopsy, ALND- axillary lymph node dissection, TNBC- triple negative breast cancer, BCT- breast conserving treatment, pCR – pathological complete response
Fig. 2
The influence of ypN status on OS in non-elderly (A) and elderly (B) BC patients
Bild vergrößern

Discussion

The treatment of elderly cancer patients remains a complex and debatable issue. Given the absence of uniform protocols, surgeons and clinicians should focus on delivering appropriate and tailored care to the geriatric population in the era of multimodal treatment. Considering shorter life expectancy among elderly individuals, a therapeutic approach should include maintaining acceptable quality of life and minimizing functional impairments. The current study was important, as it sheds new light on adjusting surgical treatment among elderly BC patients undergoing NAC. Although the two study groups showed comparable response rates to systemic treatment, different clinical conclusions could be drawn. In the non-elderly group, a pCR was associated with decreased odds of LN involvement, while no such association could be shown within the elderly group. Furthermore, LN status had no influence on the OS within the elderly group, with higher cT stage being the sole factor of decreased risk of death. Nonetheless, this counterintuitive observation should be interpreted with caution, as it may reflect selection bias. Elderly patients with larger tumors who were selected for NAC and surgery possibly represented a more fit subgroup, while some individuals with smaller tumors yet worse overall health may have had unfavourable outcomes due to non-cancer reasons.
As shown in the study from Memorial Sloan Kettering Cancer Center, even though elderly BC patients are under-represented in RCTs, their clinical outcomes after NAC receipt are similar to younger patients (Williams et al. 2022). The conversion rate from locally advanced setting to BCT-eligible was comparable between the age groups (72% vs. 74% in elderly and non-elderly individuals, respectively). Furthermore, women aged ≥ 70 who converted to BCT-eligible post-NAC were more likely to undergo BCT than younger patients (Williams et al. 2022). Consistent with these findings, in the current study, there were no differences between the response to NAC between elderly and non-elderly patients. In addition, elderly patients had a higher proportion of < 90% tumor regression compared with younger patients (52.7% vs. 45.4%). Of note, the baseline cT distribution did not differ significantly between elderly and non-elderly patients, which indicates that the differences in ypT were more likely the result of reduced chemosensitivity in older patients, leading to lower pCR rates. However, this interpretation should be viewed cautiously, as our dataset does not include information on chemotherapy-related toxicity, dose reductions, or treatment intensity, which may also contribute to lower pathological response rates in older patients.
LN status remained unassociated with pCR in elderly patients. Interestingly, despite lower pathological response rates, OS did not differ between elderly and non-elderly patients, suggesting that NAC response does not directly translate into long-term survival in this population. This may suggest that further prospective research on the benefits of NAC administration in elderly patients in the context of axillary LN interventions is needed to draw firm conclusions.
In German pooled analysis of individual patient data from eight prospective RCTs, geriatric patients had significantly larger tumors (stage T4a-d) and LN involvement (LN + 1–9) compared with younger patients (Waldenfels et al. 2018). Similarly, in the current study, elderly patients more often had higher ypT stages and nodal metastases after NAC compared with non-elderly patients. Consequently, BCT and SNB were used less frequently among the geriatric cohort. Of note, pathologic staging after NAC in elderly patients did not affect survival outcomes, in contrast to non-elderly patients, in whom LN involvement was associated with an increased risk of death.
A “de-escalation trend” suggesting omitting ALND in BC patients has recently gained popularity. As shown in ACOSOG Z0011 and AMAROS trials, omission of ALND, even in individuals with diagnosed LN metastases, has no negative consequences regarding OS (Ortega Exposito et al. 2021, Poodt et al. 2018). However, the vast majority of studies involving elderly BC patients include patients undergoing upfront surgery and adjuvant radiotherapy, without NAC receipt. Nonetheless, it seems that the conclusions of previous research are consistent with the results of the current study, which suggests that within elderly BC patients, LN status does not affect survival rate, despite generally higher clinical staging. This finding further supports ongoing efforts toward axillary de-escalation in well-selected elderly patients, although prospective validation is required.
Notably, the higher proportion of luminal tumors receiving NAC in our cohort reflects real-world practice in an Eastern European setting rather than a deviation from contemporary guidelines. Similar to our centers, Barbieri et al. demonstrated that HR+/HER2 - tumors - particularly luminal B or clinically node-positive cases - frequently receive NAC to facilitate breast-conserving surgery or to achieve axillary downstaging, despite overall lower pCR rates (Barbieri et al. 2021). Likewise, Torrisi et al. emphasized that NAC remains an appropriate strategy in selected luminal tumors with high proliferation indices or unfavorable tumor-to-breast ratios, where downsizing may meaningfully alter the surgical plan (Torrisi et al. 2021). Because genomic assays were not widely available during the early years of our study, multidisciplinary teams often relied on these same clinical features when recommending NAC. This context explains the higher NAC utilization among luminal patients observed in our cohort.
The association between obesity and adverse pathological features in breast cancer provides important context for our findings. Excess adiposity has been shown to reduce the likelihood of achieving pathological complete response after neoadjuvant chemotherapy, as demonstrated in a recent meta-analysis by Wang et al. (Wang et al. 2021) In parallel, a dose-response meta-analysis including over 52,000 patients found that increasing BMI is independently associated with a higher risk of lymph node metastasis at diagnosis (Wang et al. 2020). These established relationships support the relevance of obesity within our analysis and may help explain the observed link between higher BMI and residual nodal disease following NAC in reported cohort.
The findings of the current study should be addressed with certain limitations. Firstly, aggregation of all breast cancer subtypes into a single analytical cohort instead of subtype-specific evaluation. Although molecular subtype was included as a covariate in the regression models, residual confounding arising from the marked biological and therapeutic heterogeneity across subtypes cannot be fully excluded. Robust subgroup analyses were not feasible given the retrospective design and the limited sample sizes within individual molecular subtypes, which precluded adequately powered stratified analyses. As a retrospective study conducted in two centers, our results are also subject to selection bias, especially regarding which elderly patients were offered NAC and surgery. Secondly, the cohort was not analyzed based on socioeconomic status and comorbidities that could influence the results, particularly within the elderly group. Another important limitation is the relatively small number of elderly patients in the ypN + and ypN– subgroups. This reduces the statistical strength of comparisons and may have contributed to the lack of significant associations with survival. Furthermore, The high proportion of elderly and luminal patients receiving NAC likely reflects treatment selection bias inherent to retrospective datasets. Multidisciplinary Team decisions were influenced by factors not included in the dataset (patient frailty, desire for breast conservation, imaging characteristics) or locally evolving practice patterns - limiting direct comparability to current guideline-based cohorts. Notably, 6.4% of individuals underwend ALND node dissection without prior SNB. As a result, some patients may have had undetected nodal disease at baseline, potentially leading to an overestimation of the true proportion of cN0 cases. Cause of death was not available in the current study, preventing differentiating BC–specific mortality from deaths due to other causes. This limitation is especially relevant in elderly population, in whom competing comorbidities may substantially influence OS. Finally, the elderly and non-elderly groups were numerically unbalanced, which reflects the age distribution of patients receiving NAC in real-world practice; this imbalance may limit the comparative power of subgroup analyses and should be interpreted accordingly.
Although presented outcomes cannot be directly translated into clinical practice, it is crucial to note a relatively large sample size of elderly BC patients receiving preoperative systemic treatment followed by curative-intent surgery. These limitations should be taken into account when interpreting our results, and confirmatory prospective studies are needed to validate our observations.
In conclusion, our study underscores the possible benefits of NAC within BC patients based on age. While LN status did not impact long-term prognosis among elderly individuals, nodal involvement after NAC was a poor prognostic factor among non-elderly patients. This seemingly paradoxical finding in the elderly cohort may be explained by selection bias. Patients with higher cT tumors who were offered NAC and surgery likely represented a fitter subgroup, whereas some elderly patients with smaller tumors but poorer overall health may have experienced worse survival due to non-cancer causes.

Acknoweledgement

Manuscript preparation was supported during Harvard Medical School's Polish Clinical Scholars Research Training Program, organised by the Agencja Badan Medycznych (ABM, English: Medical Research Agency, Warsaw, Poland).

Declarations

Conflict of interest

The authors declare no competing interests.
The study was approved by the Institutional Review Board of the Medical University of Lublin (KE-0221-34-2022). All patients signed informed consent before study enrolment. The study was performed in accordance with the declaration of Helsinki.
All authors agree with the content of the manuscript and allow it for publication.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Titel
The association between age and lymph node status among patients with breast cancer after neoadjuvant chemotherapy: Eastern European population-based retrospective cohort study
Verfasst von
Kamil Torres
Paweł Bogacz
Katarzyna Sędłak
Radosław Mlak
Magdalena Staśkiewicz
Zuzanna Pelc
Marcin Kubiak
Andrzej Kurylcio
Tomasz Nowikiewicz
S. Vincent Grasso
Magdalena Skórzewska
Andrew Gumbs
Karol Rawicz-Pruszyński
Publikationsdatum
01.03.2026
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Cancer Research and Clinical Oncology / Ausgabe 3/2026
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-026-06459-z
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