Abstract

Background

Axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT combined with pathological axillary treatment response has been proposed to guide de-escalation of axillary treatment for clinically node-positive breast cancer patients treated with neoadjuvant systemic therapy. The aim of this study was to assess whether axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype are predictors of axillary pCR.

Methods

This study included clinically node-positive patients treated with neoadjuvant systemic therapy in the prospective Radioactive Iodine Seed placement in the Axilla with Sentinel lymph node biopsy (‘RISAS’) trial (NCT02800317) with baseline [18F]fluorodeoxyglucose PET/CT imaging available. The predictive value of axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype to estimate axillary pCR was evaluated using logistic regression analysis. Discriminative ability is expressed using ORs with 95% confidence intervals.

Results

Overall, 185 patients were included, with an axillary pCR rate of 29.7%. The axillary pCR rate for patients with limited versus advanced baseline axillary disease according to [18F]fluorodeoxyglucose PET/CT was 31.9% versus 26.1% respectively. Axillary disease extent was not a significant predictor of axillary pCR (OR 0.75 (95% c.i. 0.38 to 1.46) (P = 0.404)). There were significant differences in axillary pCR rates between breast cancer molecular subtypes. The lowest probability (7%) was found for hormone receptor+/human epidermal growth factor receptor 2− tumours. Using this category as a reference group, significantly increased ORs of 14.82 for hormone receptor+/human epidermal growth factor receptor 2+ tumours, 40 for hormone receptor−/human epidermal growth factor receptor 2+ tumours, and 6.91 for triple-negative tumours were found (P < 0.001).

Conclusion

Molecular subtype is a significant predictor of axillary pCR after neoadjuvant systemic therapy, whereas axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT is not.

Introduction

Patients with clinically node-positive (cN+) breast cancer often receive neoadjuvant systemic therapy (NST)1. The best-case scenario is achieving a pCR, defined by the absence of remaining in-breast tumour (that is breast pCR) and/or axillary lymph node metastases (ALNMs; that is axillary pCR). On average, 37% of cN+ breast cancer patients treated with NST achieve an axillary pCR2, with the rates varying between breast cancer molecular subtypes3–5. A systematic review and meta-analysis by Samiei et al.6 showed that the probability of achieving an axillary pCR is 18% for hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)−, 45% for HR+/HER2+, 60% for HR−/HER2+, and 48% for triple-negative breast cancer.

Axillary lymph node dissection (ALND) has been the standard treatment for cN+ breast cancer with remaining axillary disease after NST, but is not expected to benefit patients with an axillary pCR. High diagnostic accuracy is crucial for identifying axillary pCR after NST, to avoid omission of axillary surgery in the case of chemotherapy-resistant ALNMs7. However, current imaging modalities are not very accurate with regard to identifying axillary pCR for cN+ patients after NST and thus carry an unacceptable risk of failing to detect residual disease8. Less invasive axillary restaging procedures than ALND are needed to identify axillary pCR, and to adjust axillary treatment strategies accordingly8,9, with identification of the optimal axillary treatment strategy being debated10.

Baseline disease extent, based on the number of ALNMs before NST, combined with axillary treatment response detected by less invasive axillary restaging procedures is used to guide axillary treatment strategies11,12. Axillary pCR has been shown to be strongly dependent on breast cancer molecular subtype6. Therefore, incorporating molecular subtype into axillary treatment strategies may optimize patient-tailored management and enable further de-escalation of axillary treatment.

Therefore, the aim of this study was to assess whether axillary disease extent according to baseline [18F]fluorodeoxyglucose (FDG) PET/CT and breast cancer molecular subtype are predictors of axillary pCR for cN+ patients treated with NST in a retrospective analysis of the prospective Radioactive Iodine Seed placement in the Axilla with Sentinel lymph node biopsy (RISAS) trial.

Methods

Study design and patients

cN+ breast cancer patients who participated in the prospective RISAS trial (NCT02800317; METC number 2016-412) were included. In the RISAS trial, the diagnostic accuracy of the RISAS procedure was investigated in 13 institutions in the Netherlands between March 2017 and December 20197. RISAS participants underwent the RISAS procedure followed by completion ALND (cALND). The presence of ALNMs at the time of breast cancer diagnosis was confirmed by either core needle biopsy or fine needle aspiration. Patients who were eligible for participation in the RISAS trial were excluded in the case of infraclavicular or supraclavicular lymph node metastases (cN3a or cN3c), distant (oligo)metastases, a sentinel lymph node biopsy performed before NST, or previous radiotherapy to the ipsilateral axilla. Informed consent was obtained from all participants.

This study includes RISAS participants who underwent baseline [18F]FDG PET/CT imaging before the start of NST. Data on age, tumour size, tumour localization, clinical stage, histopathological subtype, molecular subtype, and treatment response were collected. Due to the retrospective analysis, the necessity to obtain additional informed consent was waived by all local medical ethics committees of the participating institutions.

[18F]fluorodeoxyglucose PET/CT imaging

All patients underwent whole-body [18F]FDG PET/CT imaging before NST initiation, using a standard acquisition protocol, in accordance with the practices of the institutions involved in this study. [18F]FDG PET/CT imaging was performed according to European Association of Nuclear Medicine (EANM) guidelines. All patients had to fast for at least 4–6 h before injection of intravenous [18F]FDG. The blood glucose levels of all patients were less than 11 mmol/l. After glucose testing, an intravenous [18F]FDG injection was administered to all patients. After a resting interval of 45–60 min whole-body [18F]FDG PET/CT imaging was performed.

All [18F]FDG PET/CT images were centrally reviewed on a dedicated commercially available workstation (syngo.via 6.4; Siemens Healthcare, Erlangen, Germany) and a minority of the [18F]FDG PET/CT images were reconstructed according to European Association of Nuclear Medicine Research Ltd (EARL) guidelines. Each visible ALNM on an [18F]FDG PET/CT image was scored using a four-point confidence scale (0, similar to surrounding lymph nodes; 1, slightly more intense than other lymph nodes; 2, moderately intense; and 3, very intense)13. First, the number of hypermetabolic ALNMs (score 1–3) was noted from the original report and patients were classified as having either limited (1–3 hypermetabolic ALNMs) or advanced (greater than or equal to 4 hypermetabolic ALNMs) baseline axillary disease. Thereafter, all [18F]FDG PET/CT images were reviewed by a final-year resident in radiology and nuclear medicine (T.J.A.v.N.), with 4 years of clinical experience in [18F]FDG PET/CT and breast imaging (reviewer 1). The number of hypermetabolic ALNMs from the original report was compared with the number of hypermetabolic ALNMs determined by reviewer 1. When the number of hypermetabolic ALNMs was missing from the original report or there was a discrepancy between the original report and reviewer 1 regarding the number of hypermetabolic ALNMs, another nuclear medicine physician (C.M.), with more than 10 years of experience in nuclear imaging, reviewed the images to obtain consensus on the number of hypermetabolic ALNMs.

Neoadjuvant systemic therapy

The NST regimen was based on the Dutch national breast cancer guidelines that were in effect at the time of the RISAS trial14. Generally, anthracycline- and/or taxane-based regimens were administered. HER2-positive breast cancer patients also received targeted therapy (trastuzumab alone or trastuzumab and pertuzumab).

Histopathology

All excised axillary lymph nodes were stained with haematoxylin and eosin. On-site use of immunohistochemistry was not obligatory. The absence of any residual disease (that is isolated tumour cells, micrometastases, and macrometastases) was defined as axillary pCR. As part of the prospective RISAS trial, all RISAS lymph nodes negative with regard to haematoxylin and eosin staining underwent immunohistochemistry and additional sectioning for central pathology review as previously described7.

Statistical analysis

Proportions of patients with axillary pCR were compared between subgroups of patients with limited and advanced axillary disease according to baseline [18F]FDG PET/CT and subgroups of patients with different breast cancer molecular subtypes. The chi-squared test and Fisher’s exact test were used for significance testing. To evaluate the predictive effect of axillary disease extent according to baseline [18F]FDG PET/CT and molecular subtype on the probability of achieving axillary pCR after NST, univariable logistic regression analyses were performed. Discriminative ability is expressed using ORs with 95% confidence intervals. The predicted probabilities of the univariable models were used for the construction of receiver operating characteristic (ROC) curves and the calculation of corresponding area under the curve (AUC) values. A test for equality of paired ROC curves was used (‘roccomp command’ in STATA). Statistical analyses were performed using SPSS® (IBM, Armonk, NY, USA; 26.0) and STATA (release 14). All statistical tests were two-sided and P < 0.050 was considered statistically significant.

Results

Baseline and treatment characteristics

A total of 208 cN+ breast cancer patients were prospectively enrolled in the RISAS trial and underwent the RISAS procedure followed by cALND. For 88.9% (185 of 208) of patients, baseline [18F]FDG PET/CT imaging was performed. The mean patient age was 52 years and the mean tumour size was 40 mm. Limited baseline axillary disease was seen in 62.7% (116 of 185) and advanced axillary disease in 37.3% (69 of 185) of patients. Primary tumours were HR+/HER2− in 46.5% (86 of 185), HR+/HER2+ in 20.5% (38 of 185), HR−/HER2+ in 10.8% (20 of 185), and triple negative in 22.2% (41 of 185) of patients (Fig. 1). Overall, 29.7% (55 of 185) of patients achieved an axillary pCR. Clinicopathological characteristics are listed in Table 1.

Distribution of patients with different breast cancer molecular subtypes with either limited or advanced axillary disease according to baseline [18F]fluorodeoxyglucose PET/CT
Fig. 1

Distribution of patients with different breast cancer molecular subtypes with either limited or advanced axillary disease according to baseline [18F]fluorodeoxyglucose PET/CT

RISAS, Radioactive Iodine Seed placement in the Axilla with Sentinel lymph node biopsy; FDG, fluorodeoxyglucose; HR, hormone receptor; HER2, human epidermal growth factor receptor 2; ALNMs, axillary lymph node metastases.

Table 1

Patient and treatment characteristics; n = 185

VariablesValues
Age (years), mean(s.d.)52(11.1)
Tumour size (mm), mean(s.d.)40(20)
Clinical T status*
 cTx3 (1.6)
 cT119 (10.3)
 cT2116 (62.7)
 cT329 (15.7)
 cT418 (9.7)
Clinical N status*
 cN1130 (70.3)
 cN239 (21.1)
 cN316 (8.6)
Oestrogen receptor†
 Negative65 (35.1)
 Positive120 (64.9)
Progesterone receptor†
 Negative88 (47.6)
 Positive97 (52.4)
HER2 receptor†
 Negative127 (68.6)
 Positive58 (31.4)
Breast cancer molecular subtype†
 HR+/HER2−86 (46.5)
 HR+/HER2+38 (20.5)
 HR−/HER2+20 (10.8)
 Triple negative41 (22.2)
Axillary treatment response‡
 pCR55 (29.7)
 RD130 (70.3)
VariablesValues
Age (years), mean(s.d.)52(11.1)
Tumour size (mm), mean(s.d.)40(20)
Clinical T status*
 cTx3 (1.6)
 cT119 (10.3)
 cT2116 (62.7)
 cT329 (15.7)
 cT418 (9.7)
Clinical N status*
 cN1130 (70.3)
 cN239 (21.1)
 cN316 (8.6)
Oestrogen receptor†
 Negative65 (35.1)
 Positive120 (64.9)
Progesterone receptor†
 Negative88 (47.6)
 Positive97 (52.4)
HER2 receptor†
 Negative127 (68.6)
 Positive58 (31.4)
Breast cancer molecular subtype†
 HR+/HER2−86 (46.5)
 HR+/HER2+38 (20.5)
 HR−/HER2+20 (10.8)
 Triple negative41 (22.2)
Axillary treatment response‡
 pCR55 (29.7)
 RD130 (70.3)

Values are n (%) unless otherwise indicated. *Based on imaging measurements. †Determined by core biopsy at time of diagnosis before neoadjuvant systemic therapy. ‡Determined by axillary surgery after completion of neoadjuvant systemic therapy. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; RD, residual disease.

Table 1

Patient and treatment characteristics; n = 185

VariablesValues
Age (years), mean(s.d.)52(11.1)
Tumour size (mm), mean(s.d.)40(20)
Clinical T status*
 cTx3 (1.6)
 cT119 (10.3)
 cT2116 (62.7)
 cT329 (15.7)
 cT418 (9.7)
Clinical N status*
 cN1130 (70.3)
 cN239 (21.1)
 cN316 (8.6)
Oestrogen receptor†
 Negative65 (35.1)
 Positive120 (64.9)
Progesterone receptor†
 Negative88 (47.6)
 Positive97 (52.4)
HER2 receptor†
 Negative127 (68.6)
 Positive58 (31.4)
Breast cancer molecular subtype†
 HR+/HER2−86 (46.5)
 HR+/HER2+38 (20.5)
 HR−/HER2+20 (10.8)
 Triple negative41 (22.2)
Axillary treatment response‡
 pCR55 (29.7)
 RD130 (70.3)
VariablesValues
Age (years), mean(s.d.)52(11.1)
Tumour size (mm), mean(s.d.)40(20)
Clinical T status*
 cTx3 (1.6)
 cT119 (10.3)
 cT2116 (62.7)
 cT329 (15.7)
 cT418 (9.7)
Clinical N status*
 cN1130 (70.3)
 cN239 (21.1)
 cN316 (8.6)
Oestrogen receptor†
 Negative65 (35.1)
 Positive120 (64.9)
Progesterone receptor†
 Negative88 (47.6)
 Positive97 (52.4)
HER2 receptor†
 Negative127 (68.6)
 Positive58 (31.4)
Breast cancer molecular subtype†
 HR+/HER2−86 (46.5)
 HR+/HER2+38 (20.5)
 HR−/HER2+20 (10.8)
 Triple negative41 (22.2)
Axillary treatment response‡
 pCR55 (29.7)
 RD130 (70.3)

Values are n (%) unless otherwise indicated. *Based on imaging measurements. †Determined by core biopsy at time of diagnosis before neoadjuvant systemic therapy. ‡Determined by axillary surgery after completion of neoadjuvant systemic therapy. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; RD, residual disease.

Axillary pCR stratified by baseline axillary disease extent and breast cancer molecular subtype

There was no significant difference in axillary pCR rates between patients with limited and advanced baseline axillary disease (31.9% (37 of 116) versus 26.1% (18 of 69) respectively (P = 0.403)) according to [18F]FDG PET/CT. However, axillary pCR rates varied significantly amongst molecular subtypes. The highest axillary pCR rate was seen for HR−/HER2+ patients (75% (15 of 20)), followed by HR+/HER2+ patients (52.6% (20 of 38)), triple-negative patients (34.1% (14 of 41)), and HR+/HER2− patients (7% (6 of 86)) (P < 0.001).

Within each of the molecular subtypes, the axillary pCR rates for limited and advanced baseline axillary disease did not differ significantly (5.4% (3 of 56) versus 10% (3 of 30) (P = 0.416) for HR+/HER2− patients, 62.5% (15 of 24) versus 35.7% (5 of 14) (P = 0.111) for HR+/HER2+ patients, 76.9% (10 of 13) versus 71.4% (5 of 7) (P = 1.000) for HR−/HER2+ patients, and 39.1% (9 of 23) versus 27.8% (5 of 18) (P = 0.447) for triple-negative patients) (Table 2). For HR+/HER2− patients, only 3.5% (3 of 86) had limited baseline axillary disease and axillary pCR, compared with 39.5% (15 of 38) of HR+/HER2+ patients, 50% (10 of 20) of HR−/HER2+ patients, and 22% (9 of 41) of triple-negative patients (Fig. 1 and Table 2).

Table 2

Axillary treatment response stratified by axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype

Breast cancer molecular subtypeSample sizeLimited axillary disease, n = 116Advanced axillary disease, n = 69P
HR+/HER2−86
 Axillary pCR3/56 (5.4)3/30 (10)0.416
 Axillary RD53/56 (94.6)27/30 (90)
HR+/HER2+38
 Axillary pCR15/24 (62.5)5/14 (35.7)0.111
 Axillary RD9/24 (37.5)9/14 (64.3)
HR−/HER2+20
 Axillary pCR10/13 (76.9)5/7 (71.4)1.000
 Axillary RD3/13 (23.1)2/7 (28.6)
Triple negative41
 Axillary pCR9/23 (39.1)5/18 (27.8)0.447
 Axillary RD14/23 (60.9)13/18 (72.2)
Breast cancer molecular subtypeSample sizeLimited axillary disease, n = 116Advanced axillary disease, n = 69P
HR+/HER2−86
 Axillary pCR3/56 (5.4)3/30 (10)0.416
 Axillary RD53/56 (94.6)27/30 (90)
HR+/HER2+38
 Axillary pCR15/24 (62.5)5/14 (35.7)0.111
 Axillary RD9/24 (37.5)9/14 (64.3)
HR−/HER2+20
 Axillary pCR10/13 (76.9)5/7 (71.4)1.000
 Axillary RD3/13 (23.1)2/7 (28.6)
Triple negative41
 Axillary pCR9/23 (39.1)5/18 (27.8)0.447
 Axillary RD14/23 (60.9)13/18 (72.2)

Values are n or n/n (%). HR, hormone receptor; HER2, human epidermal growth factor receptor 2; RD, residual disease.

Table 2

Axillary treatment response stratified by axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype

Breast cancer molecular subtypeSample sizeLimited axillary disease, n = 116Advanced axillary disease, n = 69P
HR+/HER2−86
 Axillary pCR3/56 (5.4)3/30 (10)0.416
 Axillary RD53/56 (94.6)27/30 (90)
HR+/HER2+38
 Axillary pCR15/24 (62.5)5/14 (35.7)0.111
 Axillary RD9/24 (37.5)9/14 (64.3)
HR−/HER2+20
 Axillary pCR10/13 (76.9)5/7 (71.4)1.000
 Axillary RD3/13 (23.1)2/7 (28.6)
Triple negative41
 Axillary pCR9/23 (39.1)5/18 (27.8)0.447
 Axillary RD14/23 (60.9)13/18 (72.2)
Breast cancer molecular subtypeSample sizeLimited axillary disease, n = 116Advanced axillary disease, n = 69P
HR+/HER2−86
 Axillary pCR3/56 (5.4)3/30 (10)0.416
 Axillary RD53/56 (94.6)27/30 (90)
HR+/HER2+38
 Axillary pCR15/24 (62.5)5/14 (35.7)0.111
 Axillary RD9/24 (37.5)9/14 (64.3)
HR−/HER2+20
 Axillary pCR10/13 (76.9)5/7 (71.4)1.000
 Axillary RD3/13 (23.1)2/7 (28.6)
Triple negative41
 Axillary pCR9/23 (39.1)5/18 (27.8)0.447
 Axillary RD14/23 (60.9)13/18 (72.2)

Values are n or n/n (%). HR, hormone receptor; HER2, human epidermal growth factor receptor 2; RD, residual disease.

Univariable logistic regression

Two separate univariable logistic regression models were used to evaluate the predictive effect on the probability of achieving axillary pCR after NST; one with axillary disease extent according to baseline [18F]FDG PET/CT as an independent variable and one with breast cancer molecular subtype as an independent variable. The OR for axillary pCR associated with limited versus advanced baseline axillary disease extent was 0.75 (95% c.i. 0.38 to 1.46) (P = 0.404). Molecular subtype was designated as the categorical variable, with patients with HR+/HER2− tumours designated as the reference category. Significantly increased ORs of 14.82 (95% c.i. 5.21 to 42.16) for patients with HR+/HER2+ tumours, 40 (95% c.i. 10.87 to 148.05) for patients with HR−/HER2+ tumours, and 6.91 (95% c.i. 2.42 to 19.78) for patients with triple-negative tumours were found (P < 0.001). Figure 2 shows the ROC curves based on the predicted probabilities of each model. The AUC for axillary disease extent according to baseline [18F]FDG PET/CT was 0.533 (95% c.i. 0.442 to 0.623) (P = 0.485) and the AUC for molecular subtype was 0.809 (95% c.i. 0.740 to 0.877) (P < 0.001), and the difference between these AUCs was statistically significant (P < 0.001) (Fig. 2).

Receiver operating characteristic (ROC) curves evaluating the predictive effect of axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype on the probability of achieving axillary pCR
Fig. 2

Receiver operating characteristic (ROC) curves evaluating the predictive effect of axillary disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and breast cancer molecular subtype on the probability of achieving axillary pCR

FDG, fluorodeoxyglucose.

Discussion

This study investigated the predictive effect of axillary disease extent according to baseline [18F]FDG PET/CT and breast cancer molecular subtype on the probability of achieving axillary pCR after NST. The breast cancer molecular subtype is significantly correlated with axillary pCR, whereas axillary disease extent according to baseline [18F]FDG PET/CT is not.

Previous studies have already demonstrated the importance of molecular subtype in the evaluation of axillary response after NST in breast cancer3,15. The axillary pCR rates for HR+/HER2−, HR+/HER2+, HR−/HER2+, and triple-negative breast cancer reported in the present study are well in line with previous findings5,16,17.

Axillary disease extent according to baseline [18F]FDG PET/CT does not appear to be a useful predictor of axillary pCR after NST. The axillary pCR rates for limited and advanced baseline axillary disease did not differ significantly overall (31.9% versus 26.1% respectively) and this finding was consistent among all molecular subtypes. This is line with a study by Ng et al.17, who found no significant difference in axillary pCR rates between patients with low (1–2 abnormal ALNMs) or high (greater than or equal to 3 abnormal ALNMs) axillary disease according to baseline ultrasonography (44% versus 42% respectively). A study by van Loevezijn et al.18 reported axillary pCR rates of 32% for patients with low (less than 4 hypermetabolic ALNMs) and 44% for patients with high (greater than or equal to 4 hypermetabolic ALNMs) axillary disease extent according to baseline [18F]FDG PET/CT. A study by Garcia-Tejedor et al.19 reported an axillary pCR rate of 40% in the case of advanced axillary disease according to baseline ultrasonography (that is at least three suspicious ALNMs) and even higher axillary pCR rates for HER2-positive (68%) and triple-negative (45%) patients.

Although axillary disease extent is not a significant predictor of axillary pCR, it is used in clinical practice to guide adjuvant axillary treatment. This is illustrated by an axillary treatment protocol that combines the number of hypermetabolic ALNMs according to baseline [18F]FDG PET/CT with the Marking Axillary lymph nodes with Radioactive Iodine seeds (MARI) procedure. This protocol recommends no further treatment for patients with limited axillary disease (1–3 hypermetabolic ALNMs) and axillary pCR according to the MARI procedure. For patients with advanced axillary disease (greater than or equal to 4 hypermetabolic ALNMs) according to baseline [18F]FDG PET/CT and axillary pCR according to the MARI procedure, axillary radiotherapy is recommended. For patients with limited baseline axillary disease and axillary residual disease according to the MARI procedure, axillary radiotherapy is also recommended, whereas, for patients with advanced baseline axillary disease and residual disease according to the MARI procedure, both ALND and axillary radiotherapy are recommended11,12. It is questionable whether an axillary treatment protocol that combines the number of hypermetabolic ALNMs according to baseline [18F]FDG PET/CT and pathological axillary response to NST is entirely justified, as only molecular subtype was a significant predictor of axillary response to NST in the present study. Almost all (96.5%) of the HR+/HER2− patients in this study would have an indication for ALND ± axillary radiotherapy, compared with 50–78% of patients with other molecular subtypes. Therefore, the introduction of information on molecular subtype may be highly relevant in axillary treatment protocols.

The present study focused on predictors of axillary pCR for cN+ patients treated with NST. However, previous studies have indicated that axillary pCR after NST does not have the same impact for all molecular subtypes20,21. Especially for those with HR+/HER2− tumours, the prognosis, in terms of recurrence-free and overall survival, for patients with axillary pCR seems similar to that for patients with residual disease in up to three axillary lymph nodes in surgical specimens after NST20,21. This might provide an additional argument to pay attention to molecular subtype in axillary treatment protocols.

Apart from axillary treatment protocols, the importance of information on breast cancer molecular subtype might also be considered in ongoing studies. At this moment, various clinical trials are investigating the best way to manage axillary residual disease after NST and surgery. The Alliance A011202 (NCT01901094) and TAXIS (NCT03513614) trials are investigating whether axillary radiotherapy and tailored axillary surgery combined with regional nodal irradiation can safely replace cALND for patients with axillary residual disease after NST22,23. Additionally, the MINIMAX (NCT04486495) and AXSANA (NCT04373655) registry trials are assessing the impact of different axillary restaging procedures, the oncological safety, and the impact on quality of life for cN+ patients after NST10,24. As cALND is more frequently being omitted for cN+ patients with axillary residual disease after NST, the results of these trials are highly anticipated. It would be highly beneficial for ongoing and future studies to include information on molecular subtype in their designs.

This study has some limitations. Axillary disease extent was only evaluated according to baseline [18F]FDG PET/CT and results from this study may not be generalizable to settings wherein pathological confirmation or other imaging modalities, such as axillary ultrasonography or MRI, are used for evaluation of the number of ALNMs at baseline. However, baseline [18F]FDG PET/CT is known to accurately stage regional and distant disease dissemination and has a positive predictive value of 98% with regard to detecting ALNMs25. Moreover, 13 institutions participated in the prospective multicentre RISAS trial. Only a minority of the [18F]FDG PET/CT images were reconstructed according to EARL guidelines, allowing data pooling with regard to the metabolic information in each [18F]FDG PET/CT image. Consequently, it was not possible to combine measurements on metabolic parameters such as standardized uptake values between the participating centres.

This study demonstrates that molecular subtype is a significant predictor of axillary pCR after NST, whereas axillary disease extent according to baseline [18F]FDG PET/CT is not. Information on molecular subtype may be relevant to guide further axillary treatment for cN+ patients treated with NST.

Collaborators

L. de Beer (Martini Hospital, Groningen, the Netherlands); E.G. Boerma (Maastricht University Medical Center+, Maastricht, the Netherlands); M. Boskamp (Wilhelmina Hospital, Assen, the Netherlands); E.M.J. Brouwers-Kuyper (Albert Schweitzer Hospital, Dordrecht, the Netherlands); C.M.E. Contant (Maasstad Hospital, Rotterdam, the Netherlands); A.W.F. du Mée (Amphia Hospital, Breda, the Netherlands); H.J. Heijmans (Hospital Group Twente, Breast Clinic Oost-Nederland, Hengelo, the Netherlands); S. Ho-Han (Albert Schweitzer Hospital, Dordrecht, the Netherlands); F. Hulsebosch (Franciscus Gasthuis & Vlietland, Schiedam, the Netherlands); A. Jager (Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands); J.A.J. Janssen (Ikazia Hospital, Rotterdam, the Netherlands); B.L.R. Kam (Ikazia Hospital, Rotterdam, the Netherlands); W. Kelder (Martini Hospital, Groningen, the Netherlands); T.M.A.L. Klem (Franciscus Gasthuis & Vlietland, Schiedam, the Netherlands); K.P. Koopmans (Martini Hospital, Groningen, the Netherlands); M.B.I. Lobbes (Zuyderland Medical Center, Sittard-Geleen, the Netherlands); M.B.E. Menke-Pluijmers (Albert Schweitzer Hospital, Dordrecht, the Netherlands); C. de Monye (Erasmus Medical Center, Rotterdam, the Netherlands); P. Sars (Bravis Hospital, Roosendaal, the Netherlands); L.H.M. Smit (Treant Zorggroep Hospital, Hoogeveen, the Netherlands); E. van Haaren (Zuyderland Medical Center, Sittard-Geleen, the Netherlands); D. van Klaveren (Erasmus Medical Center, Rotterdam, the Netherlands); J. Veltman (Hospital Group Twente, Breast Clinic Oost-Nederland, Hengelo, the Netherlands); C. Verhoef (Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands); W.J. Vles (Ikazia Hospital, Rotterdam, the Netherlands).

Funding

T.J.A.v.N. and F.J.G.v.A. received funding for this study from the Health Foundation Limburg (SWOL; project 20.048) and the Dutch Cancer Society (REFINE trial; project 14055). None of the other authors received support from any organization for the submitted work.

Disclosure

M.L.S. has received institutional research funding (not related to this study) from Pharma, Nutricia, and Servier, for a microbiota study. T.J.A.v.N. has received speaker honoraria from Bayer and GE Healthcare. The authors declare no conflict of interest.

Data availability

Data and code for the final analyses are available from the corresponding author upon reasonable request.

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Author notes

Collaborators of this study are listed under the heading Collaborators.

Presented to a meeting of the European Society of Radiology, Vienna, Austria, February 2024.

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