Literature DB >> 35027862

Invasive Breast Carcinoma with Neuroendocrine Differentiation: A Single-Center Analysis of Clinical Features and Prognosis.

Natalia Krawczyk1, Rowena Röwer1, Martin Anlauf2,3, Caja Muntanjohl3, Stephan Ernst Baldus2,4, Monika Neumann1, Maggie Banys-Paluchowski5,6, Sabine Otten2, Katharina Luczak2, Eugen Ruckhäberle1, Svjetlana Mohrmann1, Jürgen Hoffmann1, Thomas Kaleta1, Bernadette Jaeger1, Irene Esposito2, Tanja Fehm1.   

Abstract

Introduction Invasive breast cancer with neuroendocrine differentiation is a rare subtype of breast malignancy. Due to frequent changes in the definition of these lesions, the correct diagnosis, estimation of exact prevalence, and clinical behaviour of this entity may be challenging. The aim of this study was to evaluate the prevalence, clinical features, and outcomes in a large cohort of patients with breast cancer with neuroendocrine differentiation. Patients Twenty-seven cases of breast cancer with neuroendocrine differentiation have been included in this analysis. Twenty-one cases were identified by systematic immunohistochemical re-evaluation of 465 breast cancer specimens using the neuroendocrine markers chromogranin A and synaptophysin, resulting in a prevalence of 4.5%. A further six cases were identified by a review of clinical records. Results Median age at the time of diagnosis was 61 years. 70% of patients had T2 - 4 tumors and 37% were node-positive. The most common immunohistochemical subtype was HR-positive/HER2-negative (85%). 93% were positive for synaptophysin and 48% for chromogranin A. Somatostatin receptor type 2A status was positive in 12 of 24 analyzed tumors (50%). Neuroendocrine-specific treatment with somatostatin analogues was administered in two patients. The 5-year survival rate was 70%. Conclusions Breast cancer with neuroendocrine differentiation is mostly HR-positive/HER2-negative and the diagnosis is made at a higher TNM stage than in patients with conventional invasive breast carcinoma. Moreover, breast cancer with neuroendocrine differentiation was found to be associated with impaired prognosis in several retrospective trials. Due to somatostatin receptor 2A expression, somatostatin receptor-based imaging can be used and somatostatin receptor-targeted therapy can be offered in selected cases. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ).

Entities:  

Keywords:  invasive breast cancer with neuroendocrine differentiation; neuroendocrine breast cancer; neuroendocrine markers; neuroendocrine neoplasia of the breast; somatostatin receptor 2A

Year:  2021        PMID: 35027862      PMCID: PMC8747900          DOI: 10.1055/a-1557-1280

Source DB:  PubMed          Journal:  Geburtshilfe Frauenheilkd        ISSN: 0016-5751            Impact factor:   2.915


breast cancer with neuroendocrine differentiation breast cancer no special type large cell neuroendocrine cancer neuroendocrine neuroendocrine tumor neuroendocrine neoplasia small cell neuroendocrine cancer somatostatin analogues somatostatin receptor

Background

Primary neuroendocrine neoplasia (NEN) of the breast is a rare subtype of breast cancer (BC) representing < 1% of all NENs, which occur most commonly in the gastrointestinal tract and the lung 1 ,  2 . The prevalence of neuroendocrine differentiation among BC patients varies between 0.1 and 20% in the literature, with the World Health Organization (WHO) reporting a prevalence of up to 5% of BC cases 3 . This discrepancy is due to the fact that the diagnostic criteria and definition of this heterogeneous group of lesions have frequently changed in the last two decades, and neuroendocrine immunohistochemical markers are not routinely used in BC diagnostics 4 . The previous and current WHO classification of NEN of the breast are shown in Table 1 .

Table 1  Different classifications of NEN of the breast in the last two decades.

WHO 2003 8 WHO 2012 9 WHO 2019 10
* Expression of neuroendocrine markers > 50% (particularly chromogranin A and/or synaptophysin), ** no threshold for the expression of the neuroendocrine markers, 1 analogous to small-cell or large-cell lung cancer, 2 low grade tumors morphologically similar to carcinoid tumors of other sites. NST: no special type.
Solid neuroendocrine carcinoma (NEC) * Well differentiated neuroendocrine tumor (WD-NET) 2 Neuroendocrine tumor (NET)

grade 1

grade 2

Invasive breast carcinoma with neuroendocrine differentiation**

special type

no special type

Invasive breast cancer with neuroendocrine differentiation overridden by morphological tumor type should not be classified as a true neuroendocrine neoplasia but as a morphological subtype (e.g., NST, mucinous, papillary) with neuroendocrine differentiation
Large cell neuroendocrine carcinoma (LCNEC) 1 Large cell neuroendocrine carcinoma 1 (LCNEC)
Small cell/oat cell carcinoma (SCNEC) 1 Poorly differentiated neuroendocrine carcinoma (PD-NEC)/small cell carcinoma 1 Small cell neuroendocrine carcinoma 1 (SCNEC)
Table 1  Different classifications of NEN of the breast in the last two decades. grade 1 grade 2 special type no special type Neuroendocrine differentiation in BC was first described by Feyrter and Hartmann in 1963; this was followed by a series of eight patients with “primary carcinoid tumor of the breast” reported by Cubilla and Woodruff in 1977 5 ,  6 . Since then, many authors have tried to describe and characterize this heterogeneous entity until in 2000, Sapino et al. proposed a definition for NEN of the breast as a subset of tumors with specific morphological features and expression of the neuroendocrine markers chromogranin and/or synaptophysin in more than 50% of tumor cells 7 . This definition was later adopted by the WHO classification of NEN of the breast introduced in 2003 and last modified in 2019 8 ,  9 ,  10 . While earlier classifications included a category comprising a subset of BC (no special or special type, e.g., mucinous, papillary etc.) with neuroendocrine differentiation as determined by morphological and immunohistochemical analysis, the latest version excludes BC-NE from the NEN group altogether ( Table 1 ). Through these changes, the WHO has attempted to develop a uniform classification framework for NENs at different anatomical sites to provide pathologists and clinicians with a consistent management strategy for NEN patients, since neuroendocrine differentiation in BC, with the exception of small cell carcinoma, is assumed to have no therapeutic significance 3 . However, there are certain diagnostic and therapeutic aspects of BC-NE that should be acknowledged, even if current guidelines recommend treatment based on the general principles of breast cancer therapy. The aims of this retrospective study were: to analyze the clinical features and treatment strategies of BC-NE, to assess the prognostic impact of BC-NE, and to compare our results to previously published studies.

Materials and Methods

Patient material

A total of 27 patients with BC-NE treated at the Department of Obstetrics and Gynecology of the University of Duesseldorf, Germany, between 2002 and 2013 were included in this analysis. Surgically excised breast specimens from 465 BC patients treated between 2002 and 2006 were systematically re-evaluated in terms of neuroendocrine differentiation. Moreover, a review of the clinical records of BC patients treated at our department between 2007 and 2013 was performed to identify further BC-NE patients. Inclusion criteria were: primary breast cancer with neuroendocrine differentiation (T1–T4, N0–3, M0/M1) (TNM, 8th edition 2017) defined as > 50% positivity for the immunohistochemical neuroendocrine markers chromogranin A and/or synaptophysin according to the NEN definition from 2003 ( Table 1 ). Exclusion criteria were the following entities: poorly differentiated large or small cell neuroendocrine carcinoma and well differentiated neuroendocrine tumor (NET, G1). The flow chart showing patient selection for our analysis is presented in Fig. 1 . The study was approved by the local Ethical Committee of the Heinrich Heine University of Duesseldorf (Study number 4524).
Fig. 1

 Flow chart of the selection process. Abbreviations: SYN: synaptophysin, CgA: chromogranin A, BC-NE: invasive breast cancer with neuroendocrine differentiation, IHC: immunohistochemistry.

Flow chart of the selection process. Abbreviations: SYN: synaptophysin, CgA: chromogranin A, BC-NE: invasive breast cancer with neuroendocrine differentiation, IHC: immunohistochemistry.

Immunohistochemistry staining

Tissue sections (2 µm) were deparaffinized and rehydrated. Endogenous peroxidase activity was blocked with 0.3% hydrogen peroxide. Blocking non-specific protein-binding sites, normal mouse serum was applied. Neuroendocrine markers were detected with specific monoclonal mouse antibodies for synaptophysin (NCL-L-Synap 299, Novocastra, Berlin, Germany) and chromogranin A (MAB 5268, Chemikon, Schwalbach, Germany) at a dilution of 1 : 100 and 1 : 1000, respectively. Immunostaining was performed with anti-mouse IgG and Vectastain ABC, followed by chromogen detection. Finally, the slides were counterstained with hematoxylin and mounted for examination. SSTR 2A status was determined with monoclonal rabbit antibody (UMB1, Abcam, Cambridge, UK) at a dilution of 1 : 50. Membranous staining was scored as: 0: no staining; 1: weak staining (< 10%); 2+: moderate staining (10 – 80%); and 3+: strong staining (> 80% tumor cells).

Statistical analysis

Statistical analysis was performed using SPSS (version 25). Survival intervals were measured from the time of diagnosis until death or the first clinical, radiological or pathological diagnosis of relapse, whichever occurred first. Relapse was defined as either local recurrence or distant metastasis. Survival was calculated using the Kaplan-Meier method. Primarily metastatic patients were excluded from the disease-free survival (DFS) analysis.

Results

Patientsʼ characteristics

Clinical data from 27 patients with BC-NE were eligible for this study. Twenty-one of these patients were identified by a systematic immunohistochemical re-evaluation of 465 breast surgical specimens with regard to NE differentiation, resulting in a prevalence of 4.5%. A further six patients were identified through an analysis of the clinical records of BC patients treated between 2007 and 2013 and subsequent histological re-evaluation ( Fig. 1 ). Clinical features of the study cohort are presented in Table 2 . The median age at the time of diagnosis was 61 years (range 38 – 84 years) and 22 out of 27 patients (82%) were postmenopausal. Nineteen patients (70%) had T2–4 tumors and 10 (37%) were node-positive with lymphatic vessel infiltration (L1) detected in 8 out of 27 cases (30%). The most common immunohistochemical tumor subtype was HR-positive/HER2-negative, diagnosed in 23 patients (85%), followed by HR-positive/HER2-positive and triple-negative BC in two patients each (7%). Thirteen tumors (48%) were positive for chromogranin A (CgA) and 25 (93%) were positive for synaptophysin (Syn), whereas 12 tumors (44%) expressed both markers in > 50% of tumor cells ( Fig. 2 ,  Table 3 ). Somatostatin receptor type 2A (SSTR 2A) was analyzed in 24 tumors and of which 12 (50%) showed a SSTR 2A-positive status ( Fig. 3 ,  Table 3 ). None of the patients in our cohort presented with specific clinical symptoms due to neuroendocrine tumor differentiation.

Table 2  Clinicopathological features and administered therapy in the study cohort.

n (%)
* Initially diagnosed as NET G2. TNBC: triple negative breast cancer, BCS: breast conserving surgery, NE: neuroendocrine, SSTR: somatostatin receptor, AT: anthracycline-taxane. Numbers in parentheses are percentages and do not add to 100 in some instances owing to rounding.
Total27 (100)
Age at diagnosis

< 50

4 (15)

50 – 69

13 (48)

≥ 70

10 (37)
Menopausal status

Premenopausal

5 (18.5)

Postmenopausal

22 (81.5)
Stage at diagnosis

I

6 (22)

II

14 (52)

III

3 (11)

IV

3 (11)

Unknown

1 (4)
Tumor stage

T1

7 (26)

T2

16 (60)

T3-4

3 (11)

Unknown

1 (4)
Tumor focality

Unifocal

21 (78)

Multifocal

5 (19)

Unknown

1 (4)
DCIS component

Yes

12 (44

No

15 (56)
Nodal status

Negative

15 (56)

Positive

10 (37)

Unknown

2 (7)
Lymphatic vessel infiltration

L0

11 (41)

L1

8 (30)

Unknown

8 (30)
Original histology

NST

16 (59)

Lobular

1 (4)

NST/lobular

1 (4)

Mucinous

4 (15)

NET*

5 (18)
Grading

II

21 (78)

III

6 (22)
Ki-67 index

< 15

6 (22)

15 – 29

8 (30)

≥ 30

11 (41)

Unknown

2 (7)
IHC subtype

HR+/HER2−

23 (85)

HR+/HER2+

2 (7)

HR−/HER2+

0 (0)

TNBC

2 (7)
SSTR-based imaging performed

Yes

5 (19)

No

22 (81)
Surgical procedure

Mastectomy

14 (52)

Breast-conserving surgery

11 (41)

None

2 (7)
AT-based Chemotherapy

Yes

14 (52)

No

13 (48)
Endocrine therapy

Yes

24 (89)

No

3 (11)
NE-specific therapy

Yes

2 (7)

No

25 (93)
Fig. 2

 Histopathology and expression of general neuroendocrine marker proteins in two different breast carcinomas with neuroendocrine differentiation. a, d  Hematoxylin and eosin (H. E.) staining demonstrates a solid growth pattern and complete lack of tubular architecture in both carcinomas. Cytology of the tumor cells in a show an NST-like pattern, while cytology of the tumor cells in d is highly suggestive for a neuroendocrine phenotype. b, e  Expression of the pan-neuroendocrine marker synaptophysin (SYN) in more than 50% of tumor cells in b and in 100% of tumor cells in e. c, f  Expression of the large dense core neuroendocrine vesicle marker chromogranin A (CgA) in more than 50% of tumor cells in c , while tumor cells in f are positive in a minor subpopulation.

Table 3  Neuroendocrine-specific immunochemistry findings.

Marker/receptorn (%)
NE: neuroendocrine, CgA: chromogranine A, Syn: synaptophysin, SSTR 2A: somatostatin receptor type 2A. Numbers in parentheses are percentages and do not add to 100 in some instances owing to rounding.
Total n (%)27 (100)
Chromogranin A

> 50% of tumor cells positive

13 (48)

1 – 50 of tumor cells positive

4 (15)

Negative

10 (37)
Synaptophysin positivity

> 50% of tumor cells positive

25 (93)

1 – 50 of tumor cells positive

2 (7)

Negative

0 (0)
CgA and Syn in > 50% of tumor cells positive

Yes

12 (44)

No

15 (56)
SSTR 2A

Negative

12 (44)

Score 1

2 (7)

Score 2

7 (26)

Score 3

3 (11)

Not evaluated

3 (11)
Fig. 3

 Expression of the nuclear transcription factor GATA and the somatostatin receptor 2A in breast carcinoma with neuroendocrine differentiation. a Hematoxylin and eosin (H. E.) staining reveals a solid growth pattern, complete lack of tubular architecture and a cytology highly suggestive of neuroendocrine differentiation. b Expression of the pan-neuroendocrine marker synaptophysin (SYN) in approximately all tumor cells. c Nuclear expression of the breast-specific transcription factor GATA in the majority of tumor cells. d Circular membranous staining for the somatostatin receptor type 2A (SSTR 2) in a major subpopulation of tumor cells.

Table 2  Clinicopathological features and administered therapy in the study cohort. < 50 50 – 69 ≥ 70 Premenopausal Postmenopausal I II III IV Unknown T1 T2 T3-4 Unknown Unifocal Multifocal Unknown Yes No Negative Positive Unknown L0 L1 Unknown NST Lobular NST/lobular Mucinous NET* II III < 15 15 – 29 ≥ 30 Unknown HR+/HER2− HR+/HER2+ HR−/HER2+ TNBC Yes No Mastectomy Breast-conserving surgery None Yes No Yes No Yes No Histopathology and expression of general neuroendocrine marker proteins in two different breast carcinomas with neuroendocrine differentiation. a, d  Hematoxylin and eosin (H. E.) staining demonstrates a solid growth pattern and complete lack of tubular architecture in both carcinomas. Cytology of the tumor cells in a show an NST-like pattern, while cytology of the tumor cells in d is highly suggestive for a neuroendocrine phenotype. b, e  Expression of the pan-neuroendocrine marker synaptophysin (SYN) in more than 50% of tumor cells in b and in 100% of tumor cells in e. c, f  Expression of the large dense core neuroendocrine vesicle marker chromogranin A (CgA) in more than 50% of tumor cells in c , while tumor cells in f are positive in a minor subpopulation. Table 3  Neuroendocrine-specific immunochemistry findings. > 50% of tumor cells positive 1 – 50 of tumor cells positive Negative > 50% of tumor cells positive 1 – 50 of tumor cells positive Negative Yes No Negative Score 1 Score 2 Score 3 Not evaluated Expression of the nuclear transcription factor GATA and the somatostatin receptor 2A in breast carcinoma with neuroendocrine differentiation. a Hematoxylin and eosin (H. E.) staining reveals a solid growth pattern, complete lack of tubular architecture and a cytology highly suggestive of neuroendocrine differentiation. b Expression of the pan-neuroendocrine marker synaptophysin (SYN) in approximately all tumor cells. c Nuclear expression of the breast-specific transcription factor GATA in the majority of tumor cells. d Circular membranous staining for the somatostatin receptor type 2A (SSTR 2) in a major subpopulation of tumor cells.

Clinical diagnosis and treatment

Standard thoracic and abdominal imaging (CT scan or ultrasound and X-ray according to the current recommendations and internal standards) as well as bone scans were performed in all patients at the time of diagnosis to exclude metastatic disease. Additional SSTR-based neuroendocrine imaging (octreoscan or 68 Ga-DOTATOC PET/CT) was performed in five patients with known neuroendocrine differentiation of BC at the time of the diagnosis and a SSTR-positive score. Two primary metastatic patients received an octreotide scan to confirm the NE differentiation of the metastatic sites. In one patient with diffuse NE bone marrow infiltration and disease progress after chemotherapy with epirubicin weekly and endocrine therapy with fulvestrant, the octreotide scan was performed in order to evaluate the possibility of SSTR-specific radionuclide therapy. This therapy was not administered as the patientʼs condition worsened rapidly. In another primary metastatic patient (bones, lung), NE differentiation of the metastatic sites was confirmed and SSTR-targeted therapy with lanreotide was successfully administered for several months. Further octreotide scans and 68Ga-DOTATOC PET/CT were performed during follow-up in this patient to assess therapy response. Three other patients with unclear findings on conventional radiologic imaging received an octreotide scan to exclude metastatic lesions with NE differentiation. Fourteen patients (52%) received a mastectomy, while breast conserving surgery was performed in 11 patients (41%). Two patients had no surgical procedure, one because of stage IV disease at the time of diagnosis and one due to her poor general condition ( advanced cardiovascular disease ). Fourteen patients (52%) were treated with chemotherapy (5 patients received anthracyclines, 2 patients were given taxanes, 7 patients had anthracyclines + taxanes) and 24 (90%) with endocrine therapy. Neuroendocrine-specific treatment with somatostatin analogues was administered in two patients, one diagnosed in stage IV and one diagnosed in stage II. The first patient with stage IV disease and metastases of the bone and lung (T3 N0 M1, G2, Ki-67 25%, HR+/HER2−, SSTR 2 + 70%) received endocrine therapy in combination with lanreotide (120 mg s. c. q4w) after 6 doses of paclitaxel weekly 80 mg/m 2 and achieved complete radiological remission with no evidence of disease at the follow-up of 66 months. At least 60 cycles of lanreotide were administered in combination with endocrine therapy until the last documented follow-up. No SSTR-analogue-specific side effects which altered the therapy regimen were reported. The other patient received the somatostatin analogue octreotide (2 × 50 µg s. c. per day) in stage II (T2 N1 M0, G2, Ki-67 5%, HR+/HER2+, SSTR 2+), after standard therapy was considered unsuitable due to the patientʼs poor general condition (cirrhosis of the liver (Childʼs C), thrombocytopenia). Octreotide treatment was administered for 3 months, however this patient died 5 months after diagnosis (no details regarding the exact cause of death or further symptoms and side effects available). Table 4 shows the systemic treatment of study patients according to tumor stage and receptor status.

Table 4  Systemic treatment of study patients according to tumor stage and receptor status.

PTAgeTNMGERPRHER2SSTR 2A score (%)CTETSSTR therapy
PT: patient, G: grading, ER: estrogen receptor, PR: progesterone receptor, SSTR 2A: somatostatin receptor type 2A, CT: chemotherapy, ET: endocrine therapy, AI: aromatase inhibitors, Ful: fulvestrant, E: epirubicin, Pac: paclitaxel, F: fluorouracil, C: cyclophosphamide, DOC: docetaxel, A: doxorubicin, d: day, n. d.: not done, q1w: weekly, q2w: every two weeks, q3w every three weeks, * no anti-HER2 therapy administered (PT 1 diagnosed in 2002, PT 27 not-suitable due to cirrhosis of the liver), ** no primary surgery performed (PT 2: stage IV with malignant bone marrow infiltration, PT 8: not suitable due to advanced cardiovascular disease).
161T1 N0 M0280%80%pos.*2 (60)NoAINo
246T4 N1 M1**280%40%neg.1 (< 10)7 × E q1wFulNo
373T2 N0 M0280%30%neg.0NoAINo
474T2 N1 M0240%15%neg.03 × Pac q1wAINo
584T2 N0 M0290%90%neg.2 (60)NoAINo
662T3 N0 M1280%90%neg.3 (90)6 × Pac q1wAILanreotide 120 mg q4w
753T2 N1 M0380%0neg.1 (< 10)3 × FEC – 3 × DOCAINo
872Tx Nx M0**290%90%neg.2 (70)NoAINo
951T1 N0 M0250%80%neg.0NoAINo
1050T2 N0 M0280%90%neg.3 (90)6 × FEC q3wTamNo
1142T2 N3 M0290%90%neg.03 × A – 3 × C – 3 × Pac q2wTam + GnRHNo
1238T2 N0 M0300neg.06 × FEC q3wNoNo
1353T2 N3 M1200neg.n. d.4 × EC – 4 × DOCNoNo
1481T4 Nx M0290%60%neg.3 (90)NoAINo
1580T2 N3 M0280%10%neg.0noAINo
1670T1 N0 M0280%80%neg.0NoTamNo
1756T2 N0 M0280%80%neg.2 (60)4 × EC q3wTam-AINo
1848T1 N0 M0290%90%neg.n. d.6 × FEC q3wTamNo
1962T2 N1 M0280%20%neg.03 × FEC – 3 × DOC q3wAINo
2084T2 N0 M0390%0neg.0NoAINo
2172T1 N0 M0280%80%neg.2 (30)NoTam-AINo
2256T1 N1 M0290%90%neg.03 × FEC – 3 × DOC q3wTam-AINo
2351T2 N1 M0280%30%neg.03 × FEC – 3 × DOC q3wTam/AINo
2460T1 N0 M0290%90%neg.n. d.NoTam/AINo
2581T2 N0 M0250%< 10%neg.0NoTamNo
2656T2 N0 M02100%10%neg.2 (30)3 × FEC – 3 × DOC q3wTam/AINo
2769T2 N1 M0290%90%pos.*2 (70)NoNoOctreotide 50 µg 2/d
Table 4  Systemic treatment of study patients according to tumor stage and receptor status.

Survival analysis

Follow-up data were available for 26 out of 27 patients. The median follow-up was 63 months (range: 11 – 170 months). Nine patients died during follow-up and five of 22 initially non-metastatic and R0 operated patients were diagnosed with recurrence (local recurrence and/or distant metastasis). The mean overall survival (OS) was 111 months (95% CI: 82 – 140 months), the mean DFS was 124 months (95% CI: 90 – 157 months). The 5-year OS rate was 70% ( Fig. 4 ).
Fig. 4

 Kaplan–Meier survival curves of BC-NE patients.

Kaplan–Meier survival curves of BC-NE patients. For comparison, results from other studies published are summarized in Table 5 . Only studies published after 2003 and including at least 20 patients with NEN were considered.

Table 5  Prevalence, definitions, and clinical characteristics in important studies published on NEN of the breast*.

StudyNo. of patientsNEN definitionNEN identification processPrevalenceAge (range) Morphology/ initial histology n (%) IHC staining/ IHC subtype n (%)Gradingn (%)Tumor sizen (%)N statusn (%)Outcome
* Studies and case series published after 2003 with at least 20 patients have been listed. Numbers in parentheses are percentages and do not add to 100 in some instances owing to rounding. Abbreviations: NEN: neuroendocrine neoplasia, SCNEC: small cell neuroendocrine carcinoma, LCNEC: large cell neuroendocrine carcinoma, CSS: cancer specific survival, CgA/B: chromogranin A/B, Syn: synaptophysin, NSE: neuron-specific enolase, DRFS: distant recurrence-free survival, LRFS: local recurrence-free survival, DSS: disease-specific survival, IDC: invasive ductal carcinoma, ILC: invasive lobular carcinoma; MUC: mucinous, NST: no special type, BC-NST: breast cancer of no special type, DFS: disease free survival, OS: overall survival, n. r.: not reported. 1 No SCNEC and/or LCNEC included, 2 no cases with > 50% positivity, 3 multivariate analysis
Makretsov et al. 2004 11 65Positivity of single NE marker (NSE, CgA or Syn), without thresholdSystematic histological re-evaluation of 334 surgical specimens from 1974 – 199519.5%n. r.n. r.n. r.n. r.n.rn. r.No prognostic significance of CgA or Syn expression
10> 50% positivity of single NE marker (NSE, CgA or < Syn)3%IDC (NST) 5 (50)IDC/ILC 2 (20)IDC/MUC 2 (20)MUC 1 (10)HR+/HER2− 7 (70)HR+/HER2+ 1 (10)HR−/HER2+ 0 (0)TNBC 2 (20)G1 2(20)G2 7(70)G3 1(10)n. r.
van Krimpen et al. 2004 12 40Positivity of single NE marker (Syn and/or CgA), no tresholdHistological re-evaluation of 317 surgical specimens from 1983 – 199012,6n. r.n. r.n. r.n. r.n. r.n. r.No prognostic significance of NE differentiation
Righi et al. 2010 13 89WHO 2003n.rn. r.Median 67 (43 – 92)Solid cohesive 35 (39)ER+ (83)HER2+ (0)G1 (26)G2 (54)G3 (20)T1 (62)T2 (31)T3–4 (7)N0 (71)N+ (29)n. r.
Median 68 (54 – 84)Alveolar 10 (11)ER+ (55)HER2+ 0G1 0 (0)G2 5 (50)G3 5 (50)T1 (45)T2 (44)T3–4 (1)N0 (72)N+ (28)
Median 62 (39 – 88)Small cell 11 (12)ER+ (67)HER2+ 0G1 (0)G2 (18)G3 (82)T1 (17)T2 (83)N0 (40)N+ (60)
Median 71 (27 – 89)Solid papillary 20 (22)ER+ (100)HER2+ 0G1 (45)G2 (45)G3 (10)T1 (47)T2 (41)T3–4 (12)N0 (53)N+ (47)
Median 66 (44 – 87)Cellular mucinous 13 (15)ER+ (92)HER2+ 0G1 (31)G2 (69)G3 (0)T1 (50)T2 (20)T3–4 (30)N0 (75)N+ (25)
Wei et al. 2010 14 74 WHO 2003 1 Review of clinical recordsn. r.Mean 61 (28 – 72)Median 63Solid NE carcinomaAtypical carcinoidLarge cell NE carcinomaER+ 70 (95)ER− 3 (4)Unknown 1 (1)ER+ 59 (80)ER− 14 (19)Unknown 1 (1)HER2+ 2 (3)HER2− 67 (91)Unknown 5 (6)G1 2 (3)G2 57 (77)G3 15 (20)T1 33 (45)T2 31 (42)T3 4 (5)T4 6 (8)N0 41 (57)N1 31 (42)Unknown 2 (3)Significantly worse clinical outcome than IDC NST LRFS (p = 0.001), DRFS (p < 0.0001), and OS (p = 0.002)
Riccardi et al. 2011 15 22WHO 2003Review of clinical recordsn. r.Median 63 (38 – 74)n. r.ER+ 18 (82)ER− 4 (18)PR+ 12 (54)PR− 10 (45)HER2 n. r.n. r.n. r.n. r.n. r.
Marton et al. 2012 16 31WHO 2003Review of clinical records; 3058 BC cases diagnosed 2001 – 20051,1%61.7 (44 – 86)n. r.ER+ 27 (87)ER− 4 (13)PR+ 23 (74)PR− 8 (26)HER2+ 1 (3)HER2− 30 (97)G1 7 (23)G2 19 (61)G3 5 (16)T1 12 (39)T2 18 (58)T3 1 (3)T4 0 (0)N0 16 (52)N+ 15 (48)Median follow-up 58.7 months (2 – 144), disease relapse in 25.8%, median time to relapse 34.3 months (14.5 – 54.1)
Rovera et al. 2013 17 96WHO 2012Review of clinical records, 2829 BC cases diagnosed 1992 – 20133.2%Median 70 (40 – 94)Solid type 38 (62)MUC 14 (23)Microinvasive 6 (10)LCNEC 2 (3)SCNEC 1 (2)ER+ (90)PR+ (75)HER2+ 0G1 (34)G2 (64)G3 (2)T1 35 (60)T2 20 (34)T3 1 (2)T4 2 (3)N0 36 (77)N+ 11 (33) Median follow-up 65 months (range 2 – 242); 10-year OS 87% 1
61WHO 2003n. r.n. r.n. r.n. r.n. r.
Zhang et al. 2013 18 107 WHO 2003 1 Review of clinical records, IHC confirmationn. r.Median 64 (25 – 95)n. r.ER+ 101 (94)ER− 6 (6)PR+ 91 (85)PR− 16 (15)HER2+ 3 (3)HER2− 104 (97)T1 48 (45)T2 54 (50)T3 5 (5)T4 0 (0)N0 81 (76)N+ 26 (24)Median follow-up 27 months (3 – 134); OS 85.1 vs. 92.4% (NST) (p = 0.030)LRFS NEC (7.5%) vs. NST (2.8%) (p = 0.043)DRFS NEC (5%) vs. NST (8.3%) (p = 0.061)
Zhu et al. 2013 19 22WHO 2003Review of clinical records, 7542 BC cases diagnosed 2004 – 20100.29%Mean 52.5 (29 – 77)n. r.ER+ 20 (91)ER− 2 (9)PR+ 21 (95)PR− 1 (5)HER2+ 5 (23)HER2− 17 (77)n. r.n. r.n. r.Mean follow-up 64.5 months (4 – 89), 95% of patients disease-free
Cloyd et al. 2014 20 284WHO 2012Review of SEER database (BC cases diagnosed between 2003 and 2010)n. r.n. r.Well differentiated 148 (52.1)Small cell 73 (25.7)CA with NE features 42 (14.8)Large cell 14 (4.9)Carcinoid 7 (2.5)ER+ 132 (46.5%)PR+ 101 (35.6%)HER2 n. r.G1 28 (10)G2 56 (20)G3 127 (45)Unknown 73 (26)T1 87 (31)T2 99 (35)T3–4 51 (18)Unknown 47 (16)N0 145 (51)N+ 103 (36)Unknown 36 (13)SCNEC: worseDSS (OR 6.46, 95% CI: 0.88 – 47.68, p = 0.07) and OS (1.97, 95% CI: 0.47 – 8.22, p = 0.36) compared to other neuroendocrine tumors of the breast
Kwon et al. 2014 21 32WHO 2003Histological re-evaluation of 1428 surgical specimens from 20122.2%Median 49IDC 54 (91.5)MUC 3 (5.1)Micropapillary 2 (3.4)ER+ 55 (93)ER− 4 (7)PR+ 49 (83)PR− 10 (17)HER2+ 5 (8.5)HER2− 54 (91.5)G1 8 (14)G2 19 (32)G3 32 (54)T1 24 (41)T2 32 (54)T3 3 (5)T4 0 (0)N0 24 (41)N+ 35 (59) NE differentiation associated with impaired OS (p = 0.004) and DFS (p < 0.001) 3 No difference between focal and diffuse NE differentiation (OS, p = 0.986; DFS, p = 0.861),follow-up 56 months (1 – 122)
59WHO 20124.1%
Park et al. 2013 22 87WHO 2003Review of clinical records, 12 945 BC cases diagnosed 1984 – 20111%Mean 63 (28 – 89)IDC 60 (69)IDC/MUC 17 (19.5)IDC/ILC 8 (9.2)Unknown 2 (2.3)ER+ 86 (99)ER− 1 (1)PR+ 67 (77)PR− 19 (22)Unknown 1 (1)HER2+ 2 (2)HER2− 82 (94)Unknown 3 (3)G1 8 (9)G2 67 (77)G3 10 (11)Unknown 2 (2)n. r.N0 44 (50)N+ 39 (45)Unknown 4 (5)n. r.
Wang et al. 2014 23 142WHO 2003Review of SEER database (BC cases diagnosed between 2003 and 2009)< 0.1%Mean 64 (26 – 99)n. r.ER+ 77 (54)ER− 37 (26)Unknown 28 (20)PR+ 53 (37)PR− 59 (42)Unknown 30 (21)HER2+ n. r.G1 17 (12)G2 30 (21)G3 60 (42)Unknown 35 (25)N0 52 (37)N+ 40 (28)Unknown 50 (35)Impaired prognosis compared to BC-NSTMedian OS 26 months (12 – 48)5-year OS 53.6% (95% CI: 42.2 – 63.7) NE differentiation (pos. vs. neg.) DSS 1.80 (95% CI: 1.36 – 2.37), p < 0.0001, OS 1.84 (95% CI: 1.50 – 2.26), p < 0.0001 3
Bogina et al. 2016 24 84 WHO 2003 1 Histological re-evaluation of 1232 surgical specimens from 2000 – 20126.8%NST 58 (69)ILC 5 (6)MUC 6 (7)Solid papillary 15 (18)ER+/HER2− (Ki-67 < 14) 34 (41)ER+/HER2− (Ki-67 ≥ 14) 43 (51)ER+/HER2+ 4 (5)ER−/HER2+ 1 (1)TNBC 2 (2)G1 3 (5)G2 41 (71)G3 14 (24)T1 51 (61)T2 20 (24)T3–4 13 (15)N0 38 (30)N+ 31 (37)Unknown 15 (18)Worse DFS compared to BC-NST, no difference in CSSNE differentiation (pos. vs. neg.) DFS 3.12 (95% CI: 1.30 – 7.69), p = 0.011 3
128 WHO 2012 1 10.4%NST 95 (74)ILC 5 (4)MUC 7 (6)Solid papillary 21 (16)ER+/HER2− (Ki-67 < 14) 47 (37)ER+/HER2− (Ki-67 ≥ 14) 65 (51)ER+/HER2+ 9 (7)ER−/HER2+ 3 (2)TNBC 4 (3)G1 6 (7)G2 65 (68)G3 24 (25)T1 77 (60)T2 36 (28)T3–4 15 (12)N0 64 (50)N+ 42 (33)Unknown22 (17)
Roininen et al. 2017 25 43WHO 2003Review of clinical records, 12 945 BC cases diagnosed 2007 – 2015n. r.Median 66n. r.ER+ 41 (96)ER− 1 (2)Missing 1 (2)PR+ 37 (86)PR− 4 (9)Missing 2 (5)HER2+ 2 (5)HER2− 40 (93)Missing 1 (2)n. r.T1 29 (67)T2 11 (26)T3 2 (5)T4 1 (2)N0 24 (56)N+ 17 (39)Missing 2 (5)Worse DFS (p = 0.024) and OS (p = 0.0028)No difference in DDF, BCSSMean follow-up of NEN 35.4 months (95% CI: 23.5 – 47.2 months)
Kelten Talu et al. 2018 26 36 WHO 2003 1 Review of clinical records and IHC confirmation, BC cases 2007 – 2016n. r.Median 69.5, mean 67.4 (40 – 88)IDC + NE differentiation 28 (78)Solid NEC 2 (5)IDC/MUC 2 (5)MUC 2 (5)IDC/ILC 1 (3)Solid papillary carcinoma 1 (3)HR+/HER2− 33 (91.6)HR+/HER2+ 2 (5.6)TNBC 1 (2.7)G1 0 (0)G2 31 (86)G3 5 (14)T1 13/36 (36)≥ T2 21/36 (58)n. r.No conclusions
Lavigne et al. 2018 27 47WHO 2003Review of clinical recordsn. r.Median 67, mean 69 (33 – 91)NST 37 (79)ILC 2 (4)Solid papillary carcinoma 5 (11)MUC 3 (6)ER+ 47 (100)ER− 0 (0)PR+ 36 (77)PR− 10 (21)Unknown 1 (2)HER2+ 1 (2)HER2− 46 (98)G1 3 (6)G2 29 (62)G315 (32)T1 28 (60)T2 16 (34)T3 2 (4)T4 1 (2)N0 22 (47)N+ 18 (38)Unknown 7 (15)Impaired DFS, no difference in OS
Our study27 WHO 2003 1 Histological re-evaluation of 465 surgical specimens from 2002 – 2006, review of clinical records 2007 – 20134,5%Median 61 (28 – 84)NST 16 (59)ILC 1 (4)NST/ILC 1 (4)MUC 4 (15)NET 5 (18)HR+/HER2− 23 (85)HR+/HER2+ 2 (7)HR−/HER2+ 0 (0)TNBC 2 (7)G1 0 (0)G2 21 (78)G3 6 (22)T1 7 (26)T2 16 (60)T3–4 3 (11)Unknown 1 (4)N0 15 (56)N+ 10 (37)Unknown 2 (7)Median follow-up 63 months (11 – 170), 5-year OS 70%
Table 5  Prevalence, definitions, and clinical characteristics in important studies published on NEN of the breast*.

Discussion

Although neuroendocrine differentiation in BC is a long-known phenomenon, first described in 1963 6 , it was not until 2003 that NEN of the breast was defined by the WHO as a distinct subtype. Despite significant advances in the research and treatment of early and metastatic breast cancer over the last decades 11 ,  12 ,  13 ,  14 ,  15 , the exact prevalence, clinical behaviour and effective therapy standards for this subset of BC have not been well established so far, possibly due to its low incidence and discrepant definitions. All patients eligible for our analysis were diagnosed with a NEN of the breast according to WHO 2003 criteria (Syn and/or CgA > 50%). Poorly differentiated large or small cell neuroendocrine carcinoma and well differentiated neuroendocrine tumors (NET, G1) were excluded from this study ( Table 1 ). Since the definition of NEN of the breast has changed twice in the last two decades, the majority of cases described in our study would be currently defined as BC-NE (WHO 2012) and thus, in line with the latest NEN classification 2019, not be classified as a true NEN of the breast ( Table 1 ). However, diffuse neuroendocrine differentiation (Syn and/or CgA > 50%) in BC has been shown to be associated with certain specific clinical features, and several published studies on NEN of the breast report on these tumors as well ( Table 5 ). In particular, the question whether neuroendocrine differentiation in BC might have a diagnostic or therapeutic significance has not yet been sufficiently answered. Here we report on a series of 27 cases of BC-NE and present their clinicopathological characteristics, survival analysis as well as NE-specific diagnostic and therapeutic aspects and compare it with other published studies on NEN of the breast. Since some patients were identified through clinical records review and others through retrospective staining of neuroendocrine markers, we can only report on the actual prevalence in the collective of 465 patients. With 21 cases identified by a systematic morphological and immunohistochemical re-evaluation, we established a BC-NE prevalence to be 4.5%, which is in line with the 2 – 5% estimated by the WHO 16 . However, the prevalence of neuroendocrine differentiation in the published studies varies from less than 0.1% 17 to over 20% 18 ( Table 5 ). This is due to the variable diagnostic criteria on the one hand and the NEN identification process used in published trials on the other. Analyses that implement the 50% threshold for Syn or CgA according to the WHO 2003 definition generally report lower a NEN prevalence comparing to those meeting WHO 2012 criteria without a threshold and/or using further neuroendocrine markers such as NSE or CD56 for NEN diagnosis 18 ,  19 ,  20 ,  21 ( Table 5 ). Moreover, trials that identify NEN cases via a review of clinical records or databases report a generally lower and probably underestimated prevalence compared to those which performed a systematic re-evaluation of histology slides from BC patients, since neuroendocrine markers are not routinely used in BC diagnosis 17 ,  22 ,  23 ,  24 . The median age at initial diagnosis in our cohort was 61 years, which is in accordance with the median age at diagnosis of breast cancer of no special type without neuroendocrine differentiation (BC-NST) 25 . No differences between NEN of the breast and BC-NST in terms of age at diagnosis have been reported in other case series 19 ,  26 ,  27 . However, several trials with large cohorts reported NEN of the breast patients to be significantly older than BC-NST patients 17 ,  28 ,  29 ,  30 , These discrepancies may also be due to nonuniform diagnostic criteria used in published series: most of the studies meeting WHO 2003 criteria report NEN of the breast patients being significantly older than BC-NST patients 17 ,  28 ,  29 ,  30 ( Table 5 ). The majority (60%) of patients in our cohort were diagnosed with ≥ T2 tumors, and 37% of our analysed patients had lymph node metastases. This observation, i.e., NEN of the breast being diagnosed at a higher TNM stage than BC-NST, has also been reported by others. Wang et al. in their study of 142 NEN of the breast patients showed that those tumors were significantly larger, had higher stage disease and were significantly often node-positive compared to control cohorts with BC-NST 17 . In the study by Cloyd et al. of 284 patients, NEN of the breast was associated with relatively more advanced disease than BC-NST 31 . In their trial of 128 cases, Bogina et al. reported that NEN patients presented with larger tumors than BC-NST patients but no difference regarding node status was observed 19 . In contrast, some, mostly small series, reported similar TNM stages at diagnosis between BC with and without neuroendocrine differentiation 18 ,  26 ,  27 ,  28 . The proposed rationale for this phenomenon in NEN of other locations is their low grading and therefore slow growth, resulting in a lack of early symptoms. However, the association with higher TNM stages has been also reported in NEN cohorts with high rates of poorly differentiated tumors 17 ,  31 . Similar to previous studies, the majority of patients (85%) in our analysis presented with ER-positive HER2-negative tumors ( Fig. 5 ) 17 ,  22 ,  27 ,  32 . Previously, neuroendocrine differentiation has been shown to be significantly associated with positive HR-status 19 ,  26 ,  30 and negative HER2-status 28 ,  29 . Most tumors in our analysis were G2 tumors (78%) and Ki-67 was higher than 30% in 11 of 27 patients (41%). Similarly, NEN patients in other series were shown to have G2 tumors significantly more often than patients with BC-NST 19 ,  28 , whereas some studies reported NEN being of a significantly higher histologic grade 17 and others found no association between neuroendocrine differentiation and grading 26 ,  27 . These discrepancies may be due to inconsistent NEN cohorts, since particular subtypes of NEN are associated with certain pathological features. In the trial by Cloyd et al., 45% NEN patients presented with poorly differentiated or undifferentiated tumors. However, 26% of NEN analyzed were SCNEC, well known for poor differentiation 33 and this entity has been excluded from several studies on NEN of the breast, including our analysis. In contrast, studies that analyzed primarily mucinous NEN demonstrated that the majority of these patients had well differentiated tumors 34 ,  35 . As mentioned above, due to different diagnostic criteria and the fact that specific subtypes within NEN have not been reported in most analyses (e.g., solid NEC vs. well differentiated NET vs. BC-NE vs. SCNEC/LCNEC), the comparison and interpretation of published data is difficult ( Tables 1 and 5 ).
Fig. 5

 Expression of receptors and proliferative activity in breast carcinoma with neuroendocrine differentiation. a  Hematoxylin and eosin (H. E.) staining, demonstrating a solid growth pattern, complete lack of tubular architecture and a cytology of tumor cells highly suggestive of a neuroendocrine phenotype. b  Strong expression of the pan-neuroendocrine marker synaptophysin (SYN) in all tumor cells. c  Strong nuclear expression of the estrogen receptor (ER) in > 90% of tumor cells resulting in an ER score of 12 (scale 0 – 12). d  Strong nuclear expression of the progesterone receptor (PR) in > 90% of tumor cells resulting in an ER score of 12 (scale 0 – 12). e  Complete lack of HER2 expression corresponding to a score of 0 (scale 0 – 3). f  Analysis of Ki-67 protein expression reveals a proliferative activity of approximately 15%.

Expression of receptors and proliferative activity in breast carcinoma with neuroendocrine differentiation. a  Hematoxylin and eosin (H. E.) staining, demonstrating a solid growth pattern, complete lack of tubular architecture and a cytology of tumor cells highly suggestive of a neuroendocrine phenotype. b  Strong expression of the pan-neuroendocrine marker synaptophysin (SYN) in all tumor cells. c  Strong nuclear expression of the estrogen receptor (ER) in > 90% of tumor cells resulting in an ER score of 12 (scale 0 – 12). d  Strong nuclear expression of the progesterone receptor (PR) in > 90% of tumor cells resulting in an ER score of 12 (scale 0 – 12). e  Complete lack of HER2 expression corresponding to a score of 0 (scale 0 – 3). f  Analysis of Ki-67 protein expression reveals a proliferative activity of approximately 15%. The question whether neuroendocrine differentiation affects the prognosis of BC patients remains a very much debated issue. The 5-year OS rate of 70% in our cohort of patients with BC-NE is lower than the OS in patients with BC-NST 25 . Although some smaller studies reported similar 18 ,  20 ,  21 ,  36 or even better 32 ,  37 ,  38 outcomes for NEN compared to BC-NST patients, the majority of published large series demonstrated an impaired prognosis for NEN 17 ,  19 ,  26 ,  27 ,  28 ,  29 ,  30 and most of these studies do not include any SCNEC cases, well known for having a very poor outcome 19 ,  26 ,  27 ,  28 ,  29 . The association with poor clinical outcome was also present in multivariate analysis after adjusting for pathological stage 17 ,  26 , histological grade, and ER and HER2 status 19 ,  26 , showing that neuroendocrine differentiation is an independent prognostic factor in BC. Expression of somatostatin receptor (SSTR) in NEN of the breast, similarly to NEN of other sites, is a long-known phenomenon 39 , potentially allowing SSTR-targeted tumor imaging and treatment, even though it is not restricted to this subset of BC 40 . Among them, SSTR 2A is a subtype most commonly expressed in BC 41 and able to mediate the antiproliferative effect of somatostatin analogues (SSA) in the strongest manner 42 . However, the SSTR 2A positivity rate in BC-NE has, to the best of our knowledge, only been analyzed in one study so far 43 . This recently published retrospective analysis of 31 NEN cases reported a SSTR 2A positivity rate of 71% 43 . In our series, SSTR 2A was evaluated in 24 patients and 12 of them (50%) were SSTR 2A-positive. Based on this, five patients received SSTR-based imaging (octreoscan or 68 Ga-DOTATOC PET/CT) to confirm or exclude metastatic disease at the time of diagnosis or to evaluate therapy response over the course of disease. It is possible that the number of patients receiving SSTR-based imaging would have been much higher if neuroendocrine differentiation had been identified at diagnosis and not, as was the case in the majority of our BC-NE patients, retrospectively. Beyond these specific diagnostic aspects, SSTR 2A can potentially be targeted with SSA such as octreotide or lanreotide. These substances, which have been a mainstay of antisecretory treatment in functional NEN for a long time, were also shown to have antiproliferative activity and to be associated with a clinical benefit in some NEN patients 44 . In NEN of other sites, which is much more common, this therapy is mainly being considered in well differentiated NET (G1/2, Ki-67 < 10%) 45 . Current recommendations for BC-NE therapy are based on general guidelines for breast cancer, and poorly differentiated SCNEC ( Table 1 ) is the only entity with specific recommendations (i.e., platinum/etoposide-based chemotherapy similar to small cell lung cancer). However, only a few case reports on the treatment of BC patients with this regimen have been published so far 46 ,  47 . Since this rare subtype of NEN of the breast known to have a very poor outcome has been excluded from our analysis, all patients in our study were treated with a standard anthracycline-taxane (AT)-based chemotherapy. In our series, two SSTR-positive BC-NE patients received SSA in combination with endocrine therapy and one of these patients, initially diagnosed at stage IV with metastasis to lung and bones, achieved complete remission showing no evidence of disease on radiological and SSTR-based imaging 66 months after the first diagnosis. This patient exhibited strong SSTR 2A-expressing BC-NE G2 with a Ki-67 of 25% and not a typical well differentiated NET. Indeed, SSA therapy has been evaluated in BC-NST in the past and showed response rates of up to 40% in a metastatic setting in phase I – II trials 48 . However, a phase III study comparing endocrine therapy with or without octreotide in primary ER-positive BC did not show a benefit of SSA treatment in this setting 49 . Nonetheless, none of these studies evaluated the SSTR status of tumor tissue prior to SSA-based therapy. Here we demonstrate that SSA therapy in SSTR 2A-positive BC-NE can be offered as an individual treatment option to selected patients, e.g., as combination therapy in a palliative setting or in the case of contraindications to the standard treatment. Since neuroendocrine differentiation has been shown to be associated with impaired outcomes in several retrospective trials, further studies are needed to identify the most appropriate treatment strategy for this BC subtype.

Conclusion

Invasive breast cancer with neuroendocrine differentiation represents mostly HR-positive and HER2-negative disease and the diagnosis is made at a higher TNM stage than for BC-NST. Neuroendocrine differentiation in BC has been shown to be associated with impaired prognosis in several retrospective trials. However, the clinical impact of NE features in BC is still a very much debated issue, since the diagnostic criteria of this entity differ in published studies, making an estimation of clinical behavior difficult. Current recommendations for BC-NE therapy are based on general guidelines for breast cancer. Nevertheless, a significant number of these cancers express SSTR 2A receptors, allowing SSTR-based imaging and potentially SSTR-targeted therapy in selected cases. Moreover, platinum/etoposide-based chemotherapy may be an alternative to the standard AT-based treatment in poorly differentiated SCNEC of the breast.

Declarations Section

Ethics approval and consent to participate: The study was approved by the Ethical Committee of the Heinrich Heine University of Duesseldorf. Consent to publish: This manuscript does not contain any details, images, or videos that might lead to the identification of any individual patient. Availability of data and materials section: The data that support the findings of this study are available from the authors on reasonable request and with the permission of Tanja Fehm. Funding: None. Authorsʼ contribution: NK performed the data analysis and drafted the manuscript. RR collected the data and helped to draft the manuscript. SO, KL helped to perform the IHC experiments. MA, and SB performed the IHC experiments, the morphological evaluation and helped to draft the manuscript, IE perform the IHC experiments and help to draft the manuscript, CM helped to draft the manuscript. MN designed and coordinated the study, TF designed the study, made substantial contribution to interpretation of the data and reviewed the manuscript. MBP, ER, SM, JH, TK, BJ were involved, in interpretation of the data, drafting of the manuscript or revising it. All authors read and approved the final manuscript.
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