Evidence map›Paper›PMID 38800480›Full record

ArticleFrontiers in endocrinology2024

Non-metastatic primary neuroendocrine neoplasms of the breast: a reference cancer center's experience of a heterogenous entity.

Mirosława Püsküllüoğlu, Aleksandra Grela-Wojewoda, Aleksandra Ambicka, Renata Pacholczak-Madej, Agnieszka Pietruszka, Anna Mucha-Małecka, Agnieszka Rudzińska, Marek Ziobro, Janusz Ryś, Jerzy W Mituś

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mirosława PüsküllüoğluDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Aleksandra Grela-WojewodaDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Aleksandra AmbickaDepartment of Tumour Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Renata Pacholczak-MadejDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Agnieszka PietruszkaDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Anna Mucha-MałeckaDepartment of Radiotherapy, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków Branch, Kraków, Poland.
Agnieszka RudzińskaDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Marek ZiobroDepartment of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Janusz RyśDepartment of Tumour Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, Kraków, Poland.
Jerzy W MituśDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary neuroendocrine neoplasms of the breast (Br-NENs) are rare. The classification has been updated in recent years making interpretation of the data published challenging. It is unclear whether neuroendocrine differentiation is associated with poorer prognosis and what treatment approaches should be applied. Methods: The database for breast cancer patients treated between 2009 and 2022 at the Maria Sklodowska-Curie National Research Institute of Oncology Branch Krakow was explored to search for Br-NENs. Patients' medical and pathological data were collected and analyzed. Results: We included 22 females with Br-NEN without metastases at the time of diagnosis. The median age was 64 years (range: 28-88), Of the cases, 18 were hormone receptor positive, all were HER-2 negative, the median Ki67 was 27% (10-100%). The median tumor size at the time of diagnosis was 29.5mm (7-75mm), 9 patients were N-positive. DCIS was present in 5 cases. Only one case was negative for chromogranin and synaptophysin staining, but data were missing for 4 cases. Nine patients received adjuvant chemotherapy, mainly based on anthracyclines and taxanes, while 16 received adjuvant hormonal therapy and 15 received postoperative radiotherapy. Radical surgery was performed in all patients, but two underwent suboptimal tumorectomy. One patient had local recurrence, three experienced metastatic disease, all involving the lungs, but these patients are still alive. The median follow-up was 96 months (8-153). Two patients died, with a follow up time of no recurrence >4 years. Our results were compared to twelve case series collecting clinical data on Br-NENs, with median patient number of 10.5 (range: 3-142). Conclusion: Br-NENs represent a heterogenous group of diseases, lacking data from prospective studies or clinical trials. There are no established treatment standards tailored for Br-NENs. Our patients' cohort exhibited a favorable prognosis, potentially attributed to lower tumor stage and Ki67 index compared to other reported case series. We suggest that radical surgery and postoperative radiotherapy be administered akin to standard treatment for breast cancer of no special type. ESMO also advocates for this approach in systemic treatment, although we recommend considering platinum-based chemotherapy for patients with poorly differentiated Br-NENs exhibiting high Ki67.

Indexed as

Breast NeoplasmsNeuroendocrine TumorsAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansMiddle AgedPrognosisRetrospective Studiesbreastbreast cancerbreast neuroendocrine neoplasmsneuroendocrine carcinomaneuroendocrine tumortreatment

Identifiers

PMID38800480
PMCPMC11116701

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.