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Erschienen in: Annals of Surgical Oncology 2/2016

Open Access 01.02.2016 | Breast Oncology

Validation of Six Nomograms for Predicting Non-sentinel Lymph Node Metastases in a Dutch Breast Cancer Population

verfasst von: Siem A. Dingemans, MD, Peter D. de Rooij, MD, Roos M. van der Vuurst de Vries, MD, Leo M. Budel, MD, Caroline M. Contant, MD, PhD, Anne E. M. van der Pool, MD, PhD

Erschienen in: Annals of Surgical Oncology | Ausgabe 2/2016

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Abstract

Background

The usefulness of axillary lymph node dissection (ALND) in patients with positive sentinel nodes (SN) is still an ongoing debate. Several nomograms have been developed for predicting non-sentinel lymph node metastases (NSLNM). We validated six nomograms using data from 10 years of breast cancer surgery in our hospital.

Methods

We retrospectively analyzed all patients with a proven breast malignancy and a SN procedure between 2001 and 2011 in our hospital.

Results

Data from 1084 patients were reviewed; 260 (24 %) had a positive SN. No patients with isolated tumor cells, 6 patients (8 %) with micrometastases, and 65 patients (41 %) with macrometastases had additional axillary NSLNM. In 2 patients (3 %) with micrometastases, the ALND influenced postoperative treatment. In the group of patients with macrometastases tumor size >2 cm, extranodal growth and having no negative SNs were predictors of NSLNM. The revised MD Anderson Cancer Center and Helsinki nomograms performed the best, with an area under the curve value of 0.78.

Conclusions

ALND could probably be safely omitted in most patients with micrometastases but is still indicated in patients with macrometastases, especially in patients with tumor size >2 cm, extranodal growth, and no negative SNs. The revised MD Anderson Cancer Center and Helsinki nomograms were the most predictive in our patient group.
In the Netherlands, women have an approximate 15 % lifetime risk of developing a breast malignancy.1 In 2013, a total of 14,000 new patients were diagnosed with invasive breast cancer.2 With a mortality of 3.8 % and substantial morbidity, it is responsible for a great burden to society.1
In the management of patients with invasive breast cancer, axillary lymph node status is an important determinant of prognosis. For nodal staging, axillary lymph node dissection (ALND) has, over time, been replaced by sentinel lymph node (SLN) biopsy (SLNB).3 Between 62 and 75 % of all patients will have a negative SLNB, and no further axillary treatment is indicated because it offers no advantage in survival.3 7 However, in patients with a positive sentinel node (SN), ALND has been the standard treatment until recent times. In case of isolated tumor cells in the SN, it is disproportional to perform an ALND.8 In cases of micro- and macrometastases in the SN, it is an ongoing discussion. It seems that in most patients, ALND is merely helpful in staging, rather than a treatment itself. Morbidity such as paresthesia in the forearm and axilla, persistent lymphedema, and operated arm weakness due to ALND could be avoided in a selected group of patients.3 Recent literature has showed that in patients with early breast cancer and limited SN involvement, ALND is not useful in gaining survival.3,9 11 For example, the American College of Surgeons Oncology Group Z0011 trial showed that among patients with limited SN metastatic breast cancer treated with breast conservation and systemic therapy, the use of SLNB alone compared to ALND did not result in inferior survival.3
ALND can be omitted in most patients if physicians are able to predict the axillary lymph node status by other means. Several nomograms have been developed for predicting non-sentinel lymph node metastases (NSLNM). The most widely validated nomograms12 are from Memorial Sloan Kettering Cancer Center (MSKCC), MD Anderson Cancer Center (MDA), the Mayo Clinics (Mayo), Tenon Hospital (Tenon), Cambridge Cancer Research, Stanford Cancer Center, and Helsinki University Central Hospital.4,7,13 17 The nomogram from MDA has recently been updated (MDA2).18
In this study, we retrospectively analyzed all patients in our hospital with SLNB-positive breast cancer to determine clinicopathologic factors that might help predict the involvement of NSLNM. Furthermore, we tried to validate the nomograms mentioned above.

Materials and Methods

Eligible patients were those who underwent breast surgery between January 2001 and December 2011 in our hospital. Only patients with a proven malignancy and those who underwent a SLNB were included. We retrospectively reviewed patient charts. Patients with neoadjuvant chemotherapy were excluded, as were patients with a (synchronous) tumor of another origin. The following characteristics were noted: type of tumor; tumor size; multifocality; Bloom–Richardson grade; estrogen receptor, progesterone receptor, and HER2/neu status; lymphovascular invasion; number of negative and positive SNs collected; isolated tumor cells (<0.2 mm); micrometastases (>0.2 to ≤2 mm) or macrometastases (>2 mm) in the SN; extranodal growth; whether or not a complete ALND was performed; and the number of additional NSLNM in the ALND.
All patients underwent SLNB after injection of technetium-99 m 1 cm caudal to the areola. After induction, blue dye was injected intradermally 1 cm lateral to the areola; this combination is an accurate method of locating SNs.19 SNs were intraoperatively routinely analyzed by frozen section and postoperatively by hematoxylin and eosin staining and immunohistochemistry. The 7th edition tumor, node, metastasis classification system from the International Union against Cancer was used to stage the tumors.20 When patients had >3 positive NSLNM, they automatically received axillary radiotherapy.

Nomograms

As noted above, the MSKCC, MDA, Mayo, Tenon, Cambridge, Stanford, and Helsinki nomograms are the most validated.17,21 We excluded the Cambridge and Mayo nomograms in our study because these nomograms require size of SLN metastases as a continuous variable. Unfortunately, these data were not available for a large group of patients in our study. All patients with a positive SLNB were evaluated in the four remaining nomograms as well as in the MDA2 nomogram. An online calculator was used for the MSKCC and MDA2 nomogram; the Stanford, Tenon, first MDA, and Helsinki nomograms were calculated by hand.

Statistical Analysis

Categorical data are presented as percentage frequencies. Associations between the presence of NSLNM in ALND and the characteristics of our study group were analyzed by the χ 2 test. Significance levels are derived from two-tailed tests and were set at p < 0.05. Multivariate analysis was performed using a logistical regression model to identify those risk factors independently associated with NSLNM that had been statistically significant in the univariate analysis. The mean predicted probability of NSLNM from the five nomograms was compared to our study group. Discrimination of the nomograms was assessed by calculating the area under the curve (AUC) of the receiver operating characteristic curve. It is widely accepted that AUC values between 0.7 and 0.8 represent considerable discrimination.22 Statistical analysis was performed by SPSS 20 (IBM, Armonk, NY).

Results

A total of 1084 patients were eligible. Demographics of the study group are shown in Table 1. Of all patients, 260 (24 %) had a positive SN. Table 2 shows the percentages of isolated tumor cells, micrometastases and macrometastases, and percentages of ALND and NSLNM. Twenty-three patients (9 %) with a positive SN did not receive an ALND because of old age, short life expectancy, or isolated tumor cells in the SLNB results. In two patients (3 %) with micrometastases and NSLNM in the ALND, stage migration occurred. They received adjuvant axillary radiotherapy.
Table 1
Patient demographics
Characteristic
Value (n = 1084)
Age (years), median (range)
60 (26–92)
Tumor size
 Median (range) (mm)
17 (1–150)
 ≤20 mm
717 (66 %)
 >20 mm
346 (32 %)
 Not available
21 (2 %)
T stage
 pT1
604 (56 %)
 pT2
359 (33 %)
 pT3
28 (2 %)
 pT4
11 (1 %)
 pTis
82 (8 %)
Histomorphology
 Ductal carcinoma
859 (79 %)
 Lobular carcinoma
99 (9 %)
 Mixed type
6 (1 %)
 Other
120 (11 %)
Bloom–Richardson grade
 Well differentiated
114 (11 %)
 Moderately differentiated
570 (53 %)
 Poorly differentiated
295 (27 %)
 Not available
105 (9 %)
Estrogen receptor
 Positive
806 (74 %)
 Negative
221 (20 %)
 Not available
57 (6 %)
Progesterone receptor
 Positive
534 (49 %)
 Negative
354 (33 %)
 Not available
196 (18 %)
HER2/neu receptor
 Positive
162 (15 %)
 Negative
605 (56 %)
 Not available
317 (29 %)
Multifocality
 Yes
113 (10 %)
 No
971 (90 %)
Table 2
Size of sentinel node metastases
Characteristic
n (%)
ALND
NSLNM
Isolated tumor cells
17 (7 %)
2 (12 %)
0 (0 %)
Micrometastases
83 (34 %)
77 (93 %)
6 (8 %)
Macrometastases
160 (62 %)
158 (99 %)
65 (41 %)
ALND axillary lymph node dissection, NSLNM non-sentinel lymph node metastases
In the micrometastases group, univariate analysis was performed; no significant predictors of NSLNM were found. In the univariate analysis of the patients with macrometastases (n = 158), statistically significant predictors of NSLNM were: age <50 years (p = 0.03), tumor size >2 cm (p = 0.003), lymphovascular invasion (p = 0.02), extranodal growth (p = 0.009), and having no negative SNs (p = 0.006, Table 3). In the multivariate analysis, tumor size of >2 cm, extranodal growth, and having no negative SNs remained statistically significant (Table 4). The AUC values for the MSKCC, MDA, Tenon, Stanford, Helsinki, and MDA2 nomograms were 0.72, 0.73, 0.76, 0.62, 0.78, and 0.78, respectively (Fig. 1).
Table 3
Univariate analysis of predictors of NSLNM in patients with macrometastases
Characteristic
NSLNM
p (2-tailed)
No (n = 65)
Yes (n = 93)
 
Age
  
0.03
 ≤50 years
25
28
 
 >50 years
68
37
 
Multifocality
  
0.06
 No
80
48
 
 Yes
13
17
 
Tumor size
  
0.003
 ≤2 cm
38
12
 
 >2 cm
55
53
 
Bloom–Richardson score
  
0.21
 Well differentiated
13
4
 
 Moderately differentiated
44
32
 
 Poorly differentiated
31
28
 
Estrogen receptor
  
0.45
 Negative
17
15
 
 Positive
75
49
 
Progesterone receptor
  
0.35
 Negative
28
22
 
 Positive
52
29
 
HER2/neu receptor
  
0.06
 Negative
58
34
 
 Positive
13
17
 
Lymphovascular invasion
  
0.02
 No
86
52
 
 Yes
7
13
 
Extranodal growth
  
0.009
 No
76
41
 
 Yes
17
24
 
No. of positive sentinel node collected
  
0.07
1
76
45
 
>1
17
20
 
No. of negative sentinel node collected
  
0.002
 0
58
55
 
 ≥1
35
10
 
NSLNM non-sentinel lymph node metastases
Table 4
Multivariate analysis of predictors of non-sentinel lymph node metastases in patients with macrometastases
Factor
p (2-tailed)
Tumor size
 ≤2 cm
1
 >2 cm
2.6 (1.2–6.0) p = 0.02
Extranodal growth
 No
1
 Yes
2.4 (1.1–5.4) p = 0.03
No. of negative sentinel nodes
 0
1
 ≥1
0.3 (0.1–0.7) p = 0.006

Discussion

This study found that ALND will change postoperative treatment only in 3 % of patients with micrometastases, and that in patients with macrometastases, tumor size >2 cm, extranodal growth, and nonnegative SNs are predictors of NSLNM.
Recently the treatment of breast cancer has greatly changed. Whereas in the past standard treatment consisted of a radical mastectomy including an ALND, improved insights in cancer biology have resulted in less radical treatment.
By performing a SLNB, a large group of patients can be spared the adverse effects of ALND without lower survival rates.18 Currently, the standard treatment in our region for a patient with a positive SLNB, except for isolated tumor cells, is ALND. In 70 % of the patients with a positive SLNB in our study population, an ALND was performed in the absence of NSLNM, which is comparable to the 60–80 % described in literature.18 This is a serious matter, as these patients can experience significant adverse effects such as paresthesia, weakness of the treated arm, and lymphedema.3,10,11,23 Because of the comorbidities associated with ALND, it is always subject to discussion and its indication constantly revised and narrowed.
Our data support the current practice of not performing ALND in case of isolated tumor cells, as we did not find any NSLNM in patients with isolated tumor cells in the SN.
Performing ALND in all patients with micrometastases is currently under debate as well. There is an increasing amount of evidence suggesting that limited disease in non-sentinel lymph nodes has no effect on survival.9,11 The AATRM investigators showed in a randomized trial that in early breast cancer patients with micrometastases, SLNB alone was comparable to ALND in terms of locoregional control and distant disease. This practice had no significant effect on survival.9 The results of the IBCSG trial showed that there was no difference in survival between patients who did receive an ALND versus no axillary treatment when micrometastases were found in the SN. The authors of that trial advocated that ALND did not result in improved local control. Favorable long-term treatment events were significantly lower in the nonsurgical group. Additionally, there was no difference in the two groups receiving any type of adjuvant therapy.11 However, they only included patients with a clinically negative axilla, which should be taken into account when interpreting their results. Tvedskov et al., however, advocated that ALND should not be omitted in every patient with micrometastases, as they identified a subgroup of patients who have an increased risk of NSLNM and thus would benefit from ALND.23 Our results support both views; most of our patients (97 %) with micrometastases did not benefit from ALND, supporting the contemporary approach of omitting ALND in this patient group. However, 2 patients (3 %) did receive additional axillary radiotherapy; this was decided because of the number of NSLNM in the axilla.
One could opt to administer radiotherapy or routine follow-up with ultrasound to the axilla in case of micrometastases in the SLN instead of an ALND. In this way, all these patients can be spared the morbidity of an ALND. Chemotherapy and/or hormone therapy can be sufficient to eliminate remaining disease in patients with a low axillary tumor load, as suggested by the AATRM investigators.9
In patients with macrometastases >2 cm in size, extranodal growth and having no negative SNs proved to be predictors of NSLNM in our patient group. Although in most patients with macrometastases an ALND is indicated, more authors are now advocating a more conservative approach in this patient group as well; the Z0011 trial showed that in selected patients with T1 or T2 breast cancer and a positive SN, ALND might safely be omitted.3 All patients from the Z0011 trial, however, received whole breast irradiation, which is not a common practice in every center and thus should be taken in account. Additionally the Dutch AMAROS trial compared ALND to radiotherapy in T1–2 patients with a positive SLNB finding. They found similar results in terms of axillary control between the two treatments. The patients treated with ALND, however, experienced significantly more morbidities compared to patients treated with radiotherapy.10 We support the idea of narrowing the indication for ALND in patients with macrometastases as well. However, on the basis of our findings, we advocate a cautious strategy when dealing with a tumor >2 cm and/or extranodal growth and/or having no negative SNs.
In our patient group, the MDA2 and Helsinki nomograms performed the best, with an AUC of 0.78. Compared to the earlier available nomogram from MDA, they added type of tumor, proportion of positive SN findings and extranodal growth. This resulted in an increase of 0.05 in the AUC (0.73–0.78). To our knowledge, this is only the second study to perform external validation of the revised MDA nomogram. This nomogram is available as an online calculator (http://​www.​mdanderson.​org/​), which is useful in common practice, and it might help determine treatment options in patients with a positive SLNB. Furthermore, the Helsinki nomogram performed equally well, with an AUC of 0.78. This nomogram is also user friendly: it is available in a free Excel form in which patient characteristics can be filled in. This nomogram might also be of use in decision making for SLNB-positive patients.

Conclusions

In 6 patients (8 %) with micrometastases, NSLNM were found. In only 2 patients (3 %) did it have an impact on adjuvant treatment to the axilla. In patients with macrometastases, tumor size of >2 cm, extranodal growth, and having no negative SNs are predictors of NSLNM. The Helsinki and MDA2 nomograms proved to be the most predictive in our study group and are both easily usable.

Disclosure

The authors declare no conflict of interest.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Metadaten
Titel
Validation of Six Nomograms for Predicting Non-sentinel Lymph Node Metastases in a Dutch Breast Cancer Population
verfasst von
Siem A. Dingemans, MD
Peter D. de Rooij, MD
Roos M. van der Vuurst de Vries, MD
Leo M. Budel, MD
Caroline M. Contant, MD, PhD
Anne E. M. van der Pool, MD, PhD
Publikationsdatum
01.02.2016
Verlag
Springer US
Erschienen in
Annals of Surgical Oncology / Ausgabe 2/2016
Print ISSN: 1068-9265
Elektronische ISSN: 1534-4681
DOI
https://doi.org/10.1245/s10434-015-4858-8

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Karpaltunnelsyndrom BDC Leitlinien Webinare
CME: 2 Punkte

Das Karpaltunnelsyndrom ist die häufigste Kompressionsneuropathie peripherer Nerven. Obwohl die Anamnese mit dem nächtlichen Einschlafen der Hand (Brachialgia parästhetica nocturna) sehr typisch ist, ist eine klinisch-neurologische Untersuchung und Elektroneurografie in manchen Fällen auch eine Neurosonografie erforderlich. Im Anfangsstadium sind konservative Maßnahmen (Handgelenksschiene, Ergotherapie) empfehlenswert. Bei nicht Ansprechen der konservativen Therapie oder Auftreten von neurologischen Ausfällen ist eine Dekompression des N. medianus am Karpaltunnel indiziert.

Prof. Dr. med. Gregor Antoniadis
Berufsverband der Deutschen Chirurgie e.V.

S2e-Leitlinie „Distale Radiusfraktur“

Radiusfraktur BDC Leitlinien Webinare
CME: 2 Punkte

Das Webinar beschäftigt sich mit Fragen und Antworten zu Diagnostik und Klassifikation sowie Möglichkeiten des Ausschlusses von Zusatzverletzungen. Die Referenten erläutern, welche Frakturen konservativ behandelt werden können und wie. Das Webinar beantwortet die Frage nach aktuellen operativen Therapiekonzepten: Welcher Zugang, welches Osteosynthesematerial? Auf was muss bei der Nachbehandlung der distalen Radiusfraktur geachtet werden?

PD Dr. med. Oliver Pieske
Dr. med. Benjamin Meyknecht
Berufsverband der Deutschen Chirurgie e.V.

S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“

Appendizitis BDC Leitlinien Webinare
CME: 2 Punkte

Inhalte des Webinars zur S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“ sind die Darstellung des Projektes und des Erstellungswegs zur S1-Leitlinie, die Erläuterung der klinischen Relevanz der Klassifikation EAES 2015, die wissenschaftliche Begründung der wichtigsten Empfehlungen und die Darstellung stadiengerechter Therapieoptionen.

Dr. med. Mihailo Andric
Berufsverband der Deutschen Chirurgie e.V.